![]() | Florida Panthers |
| GP: 38 | W: 24 | L: 10 | OTL: 4 | P: 52 GF: 153 | GA: 121 | PP%: 30.08% | PK%: 73.48% DG: Sebastien Charron | Morale : 50 | Moyenne d’équipe : 77 Prochains matchs #618 vs Montreal Canadiens |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Aleksander Barkov | X | 99.00 | 74 | 42 | 88 | 83 | 85 | 91 | 90 | 89 | 87 | 88 | 80 | 85 | 84 | 87 | 89 | 0 | 50 | 83 | 0 | 30 | 5 | 10,000,000$ | ||||
| 2 | Dylan Larkin | X | 99.00 | 69 | 46 | 73 | 85 | 80 | 90 | 89 | 91 | 83 | 83 | 86 | 74 | 88 | 84 | 86 | 0 | 50 | 82 | 0 | 29 | 5 | 8,700,000$ | ||||
| 3 | Alex DeBrincat | X | X | 99.00 | 70 | 57 | 79 | 91 | 72 | 88 | 88 | 91 | 51 | 81 | 88 | 71 | 90 | 79 | 69 | 0 | 50 | 81 | 0 | 28 | 2 | 7,875,000$ | |||
| 4 | Roope Hintz | X | X | 99.00 | 69 | 43 | 82 | 81 | 84 | 88 | 87 | 89 | 82 | 82 | 86 | 77 | 85 | 76 | 70 | 0 | 50 | 81 | 0 | 29 | 5 | 8,450,000$ | |||
| 5 | Adam Lowry | X | 100.00 | 81 | 75 | 77 | 77 | 84 | 87 | 91 | 81 | 77 | 77 | 75 | 85 | 78 | 85 | 87 | 0 | 50 | 80 | 0 | 32 | 5 | 3,250,000$ | ||||
| 6 | Pavel Buchnevich | X | X | 99.00 | 68 | 44 | 81 | 82 | 79 | 89 | 88 | 88 | 62 | 82 | 81 | 74 | 83 | 82 | 72 | 0 | 50 | 79 | 0 | 30 | 5 | 8,000,000$ | |||
| 7 | Lawson Crouse | X | X | 100.00 | 82 | 65 | 74 | 75 | 86 | 86 | 89 | 81 | 50 | 70 | 76 | 74 | 77 | 82 | 76 | 0 | 50 | 76 | 0 | 28 | 2 | 4,300,000$ | |||
| 8 | Logan Cooley | X | X | 99.00 | 71 | 42 | 77 | 86 | 77 | 85 | 76 | 85 | 65 | 80 | 79 | 70 | 83 | 56 | 50 | 0 | 50 | 76 | 0 | 21 | 5 | 950,000$ | |||
| 9 | Ridly Greig | X | X | X | 100.00 | 78 | 63 | 68 | 86 | 79 | 87 | 77 | 79 | 77 | 75 | 73 | 76 | 79 | 59 | 50 | 0 | 50 | 75 | 0 | 23 | 4 | 3,250,000$ | ||
| 10 | Jack McBain | X | 100.00 | 86 | 80 | 66 | 76 | 87 | 84 | 81 | 77 | 72 | 75 | 72 | 75 | 75 | 63 | 53 | 0 | 50 | 74 | 0 | 25 | 5 | 4,250,000$ | ||||
| 11 | Mason Appleton | X | X | X | 100.00 | 73 | 40 | 86 | 76 | 79 | 86 | 86 | 78 | 51 | 73 | 71 | 74 | 75 | 76 | 66 | 0 | 50 | 74 | 0 | 29 | 2 | 2,900,000$ | ||
| 12 | Mathieu Joseph | X | 100.00 | 81 | 46 | 76 | 77 | 76 | 85 | 85 | 75 | 54 | 73 | 67 | 75 | 73 | 76 | 66 | 0 | 50 | 74 | 0 | 28 | 1 | 2,950,000$ | ||||
| 13 | K'Andre Miller | X | 100.00 | 76 | 46 | 81 | 84 | 87 | 90 | 84 | 82 | 40 | 77 | 72 | 90 | 80 | 68 | 58 | 0 | 50 | 80 | 0 | 25 | 5 | 7,500,000$ | ||||
| 14 | Thomas Harley | X | 99.00 | 68 | 42 | 90 | 90 | 86 | 87 | 80 | 87 | 40 | 79 | 82 | 86 | 86 | 62 | 53 | 0 | 50 | 80 | 0 | 24 | 5 | 4,000,000$ | ||||
| 15 | Mario Ferraro | X | 100.00 | 77 | 59 | 73 | 83 | 84 | 89 | 85 | 76 | 40 | 73 | 68 | 88 | 76 | 73 | 69 | 0 | 50 | 79 | 0 | 27 | 1 | 3,250,000$ | ||||
| 16 | Niko Mikkola | X | 99.00 | 76 | 48 | 67 | 75 | 84 | 90 | 85 | 78 | 40 | 74 | 68 | 82 | 74 | 73 | 63 | 0 | 50 | 77 | 0 | 29 | 5 | 2,500,000$ | ||||
| 17 | Scott Mayfield | X | 99.00 | 72 | 55 | 73 | 74 | 86 | 87 | 87 | 72 | 40 | 67 | 65 | 86 | 70 | 87 | 77 | 0 | 50 | 77 | 0 | 33 | 5 | 3,500,000$ | ||||
| 18 | Jake Bean | X | 100.00 | 67 | 40 | 86 | 76 | 78 | 85 | 84 | 72 | 40 | 66 | 65 | 75 | 71 | 76 | 66 | 0 | 50 | 73 | 0 | 27 | 1 | 1,750,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Isac Lundestrom | X | X | 100.00 | 70 | 40 | 92 | 75 | 79 | 84 | 85 | 71 | 71 | 69 | 65 | 75 | 71 | 76 | 66 | 0 | 50 | 72 | 0 | 26 | 2 | 1,300,000$ | |||
| Équipe Mineure | |||||||||||||||||||||||||||||
| 1 | Tomas Nosek | X | X | 100.00 | 74 | 42 | 86 | 73 | 81 | 82 | 85 | 69 | 79 | 67 | 63 | 72 | 68 | 84 | 74 | 0 | 50 | 72 | 0 | 33 | 1 | 775,000$ | |||
| 2 | Arthur Kaliyev | X | 99.00 | 60 | 42 | 80 | 72 | 86 | 82 | 73 | 71 | 40 | 65 | 66 | 62 | 70 | 68 | 58 | 0 | 50 | 68 | 0 | 24 | 1 | 775,000$ | ||||
| 3 | Ben Meyers | X | X | 100.00 | 62 | 41 | 75 | 68 | 69 | 73 | 67 | 66 | 62 | 63 | 62 | 61 | 65 | 60 | 50 | 0 | 50 | 64 | 0 | 27 | 1 | 775,000$ | |||
| 4 | Angus Crookshank | X | 98.00 | 56 | 44 | 66 | 69 | 61 | 66 | 64 | 65 | 44 | 61 | 62 | 56 | 65 | 53 | 50 | 0 | 50 | 61 | 0 | 26 | 2 | 775,000$ | ||||
| 5 | Taylor Ward | X | 100.00 | 63 | 47 | 63 | 63 | 66 | 69 | 67 | 63 | 43 | 61 | 56 | 62 | 60 | 55 | 50 | 0 | 50 | 61 | 0 | 27 | 1 | 775,000$ | ||||
| 6 | Tyler Madden | X | 100.00 | 54 | 41 | 74 | 69 | 54 | 67 | 65 | 63 | 45 | 62 | 57 | 56 | 63 | 53 | 50 | 0 | 50 | 60 | 0 | 26 | 0 | 0$ | ||||
| 7 | Xavier Simoneau | X | 100.00 | 58 | 57 | 56 | 67 | 57 | 65 | 63 | 61 | 60 | 62 | 53 | 60 | 60 | 52 | 50 | 0 | 50 | 60 | 0 | 24 | 0 | 0$ | ||||
| 8 | Zach Solow | X | 100.00 | 57 | 49 | 61 | 65 | 60 | 66 | 65 | 61 | 42 | 58 | 54 | 58 | 60 | 54 | 50 | 0 | 50 | 59 | 0 | 27 | 0 | 0$ | ||||
| 9 | Ty Tullio | X | 100.00 | 59 | 43 | 67 | 65 | 62 | 63 | 62 | 60 | 42 | 57 | 53 | 55 | 59 | 51 | 50 | 0 | 50 | 58 | 0 | 23 | 0 | 0$ | ||||
| 10 | Reilly Walsh | X | 100.00 | 54 | 42 | 70 | 68 | 62 | 69 | 67 | 65 | 40 | 63 | 58 | 64 | 63 | 54 | 50 | 0 | 50 | 63 | 0 | 26 | 0 | 0$ | ||||
| 11 | Akito Hirose | X | 100.00 | 55 | 41 | 70 | 70 | 60 | 67 | 62 | 59 | 40 | 54 | 54 | 64 | 60 | 53 | 50 | 0 | 50 | 61 | 0 | 26 | 0 | 0$ | ||||
| 12 | Matteo Pietroniro | X | 100.00 | 58 | 46 | 65 | 66 | 63 | 65 | 62 | 57 | 40 | 52 | 52 | 62 | 58 | 54 | 50 | 0 | 50 | 60 | 0 | 27 | 0 | 0$ | ||||
| 13 | Ryan O'Rourke | X | 100.00 | 59 | 45 | 66 | 65 | 65 | 65 | 63 | 61 | 40 | 55 | 53 | 58 | 60 | 51 | 50 | 0 | 50 | 60 | 0 | 23 | 0 | 0$ | ||||
| 14 | Tyson Hinds | X | 100.00 | 59 | 44 | 67 | 65 | 63 | 65 | 63 | 62 | 40 | 58 | 55 | 60 | 60 | 50 | 50 | 0 | 50 | 60 | 0 | 22 | 0 | 0$ | ||||
| 15 | Colin Felix | X | 100.00 | 58 | 44 | 62 | 63 | 64 | 64 | 62 | 57 | 40 | 52 | 52 | 60 | 57 | 53 | 50 | 0 | 50 | 59 | 0 | 26 | 0 | 0$ | ||||
| 16 | Jackson Dorrington | X | 100.00 | 61 | 41 | 59 | 62 | 62 | 58 | 56 | 55 | 40 | 54 | 54 | 61 | 57 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 0 | 0$ | ||||
| MOYENNE D’ÉQUIPE | 99.66 | 67 | 48 | 74 | 74 | 74 | 78 | 76 | 72 | 53 | 68 | 66 | 70 | 71 | 66 | 61 | 0 | 50 | 70 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Vitek Vanecek | 100.00 | 84 | 83 | 83 | 76 | 85 | 81 | 76 | 78 | 79 | 84 | 79 | 68 | 61 | 0 | 50 | 73 | 0 | 29 | 1 | 1,500,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Stuart Skinner | 100.00 | 85 | 90 | 92 | 93 | 92 | 89 | 87 | 89 | 88 | 89 | 85 | 68 | 61 | 0 | 50 | 81 | 0 | 27 | 1 | 2,600,000$ | |
| Équipe Mineure | |||||||||||||||||||||||
| 1 | Nikita Tolopilo | 100.00 | 70 | 65 | 69 | 74 | 71 | 71 | 72 | 69 | 71 | 70 | 59 | 52 | 50 | 0 | 50 | 64 | 0 | 25 | 2 | 775,000$ | |
| 2 | Cooper Black | 100.00 | 66 | 59 | 57 | 69 | 64 | 64 | 66 | 65 | 65 | 62 | 54 | 52 | 50 | 0 | 50 | 59 | 0 | 24 | 1 | 950,000$ | |
| 3 | Cameron Whitehead | 100.00 | 60 | 57 | 57 | 59 | 58 | 56 | 56 | 54 | 56 | 58 | 54 | 50 | 50 | 0 | 50 | 53 | 0 | 22 | 0 | 0$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 73 | 71 | 72 | 74 | 74 | 72 | 71 | 71 | 72 | 73 | 66 | 58 | 54 | 0 | 50 | 66 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Joe Sakic | 1 | 1 | 1 | 1 | 1 | 1 | 1 | CAN | 56 | 5 | 1$ |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Aleksander Barkov | Florida Panthers | C | 38 | 18 | 30 | 48 | 17 | 10 | 0 | 47 | 104 | 129 | 45 | 88 | 13.95% | 14 | 783 | 20.61 | 4 | 7 | 11 | 26 | 113 | 0 | 0 | 0 | 3 | 103 | 6 | 0 | 56.39% | 1126 | 0 | 0 | 0 | 0 | 1.23 | 1 | 3 | 0 | 0 | 0 | 3 | 3 | 2 |
| 2 | Pavel Buchnevich | Florida Panthers | C/LW | 38 | 21 | 22 | 43 | 14 | 4 | 0 | 28 | 47 | 109 | 18 | 93 | 19.27% | 7 | 779 | 20.52 | 3 | 8 | 11 | 25 | 113 | 2 | 0 | 2 | 2 | 105 | 4 | 0 | 46.00% | 50 | 0 | 0 | 0 | 0 | 1.10 | 1 | 1 | 0 | 0 | 0 | 3 | 4 | 3 |
| 3 | Dylan Larkin | Florida Panthers | C | 38 | 12 | 24 | 36 | 5 | 4 | 0 | 37 | 75 | 116 | 36 | 90 | 10.34% | 1 | 664 | 17.49 | 5 | 11 | 16 | 29 | 107 | 0 | 0 | 0 | 0 | 4 | 1 | 1 | 56.89% | 842 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 6 |
| 4 | Thomas Harley | Florida Panthers | D | 38 | 8 | 26 | 34 | 13 | 20 | 0 | 22 | 45 | 108 | 33 | 54 | 7.41% | 41 | 837 | 22.04 | 4 | 9 | 13 | 57 | 104 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 0% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 3 |
| 5 | Alex DeBrincat | Florida Panthers | LW/RW | 38 | 14 | 19 | 33 | 3 | 12 | 0 | 49 | 52 | 111 | 30 | 83 | 12.61% | 2 | 690 | 18.18 | 5 | 8 | 13 | 28 | 106 | 0 | 0 | 0 | 1 | 22 | 2 | 1 | 41.56% | 77 | 0 | 0 | 0 | 0 | 0.96 | 0 | 2 | 0 | 0 | 0 | 4 | 3 | 0 |
| 6 | Logan Cooley | Florida Panthers | C/RW | 38 | 14 | 18 | 32 | 7 | 8 | 0 | 54 | 29 | 96 | 22 | 62 | 14.58% | 1 | 663 | 17.45 | 7 | 5 | 12 | 26 | 103 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 52.38% | 63 | 0 | 0 | 0 | 0 | 0.97 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 1 |
| 7 | K'Andre Miller | Florida Panthers | D | 38 | 5 | 23 | 28 | 10 | 24 | 0 | 36 | 35 | 64 | 24 | 28 | 7.81% | 40 | 748 | 19.69 | 3 | 4 | 7 | 34 | 105 | 0 | 0 | 0 | 0 | 24 | 0 | 2 | 0% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
| 8 | Niko Mikkola | Florida Panthers | D | 38 | 9 | 18 | 27 | 10 | 31 | 5 | 67 | 28 | 41 | 20 | 37 | 21.95% | 42 | 799 | 21.03 | 2 | 9 | 11 | 23 | 112 | 0 | 2 | 2 | 0 | 86 | 1 | 1 | 0% | 0 | 0 | 0 | 1 | 0 | 0.68 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 1 |
| 9 | Roope Hintz | Florida Panthers | C/RW | 35 | 11 | 16 | 27 | 7 | 14 | 0 | 31 | 46 | 118 | 32 | 96 | 9.32% | 3 | 635 | 18.14 | 2 | 3 | 5 | 24 | 97 | 0 | 0 | 0 | 1 | 28 | 1 | 0 | 65.09% | 106 | 0 | 0 | 0 | 0 | 0.85 | 2 | 2 | 0 | 0 | 0 | 2 | 0 | 2 |
| 10 | Adam Lowry | Florida Panthers | C | 37 | 6 | 18 | 24 | 9 | 31 | 5 | 49 | 77 | 64 | 28 | 60 | 9.38% | 8 | 520 | 14.08 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 1 | 58 | 2 | 0 | 54.30% | 593 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 1 |
| 11 | Scott Mayfield | Florida Panthers | D | 38 | 9 | 15 | 24 | 3 | 22 | 0 | 67 | 27 | 43 | 29 | 38 | 20.93% | 55 | 742 | 19.54 | 5 | 4 | 9 | 20 | 115 | 0 | 0 | 0 | 0 | 107 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 1 |
| 12 | Mario Ferraro | Florida Panthers | D | 38 | 5 | 11 | 16 | 13 | 51 | 5 | 90 | 35 | 39 | 12 | 16 | 12.82% | 51 | 827 | 21.78 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 2 | 97 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 |
| 13 | Mason Appleton | Florida Panthers | C/LW/RW | 38 | 5 | 10 | 15 | 4 | 2 | 0 | 5 | 22 | 54 | 22 | 43 | 9.26% | 1 | 466 | 12.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 40.74% | 27 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 14 | Mathieu Joseph | Florida Panthers | RW | 38 | 2 | 8 | 10 | 3 | 12 | 0 | 18 | 14 | 25 | 13 | 29 | 8.00% | 4 | 387 | 10.21 | 0 | 0 | 0 | 1 | 10 | 1 | 1 | 2 | 4 | 107 | 1 | 0 | 36.36% | 44 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
| 15 | Lawson Crouse | Florida Panthers | LW/RW | 38 | 4 | 5 | 9 | 4 | 22 | 0 | 46 | 14 | 51 | 26 | 35 | 7.84% | 4 | 466 | 12.28 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.78% | 36 | 0 | 0 | 0 | 0 | 0.39 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| 16 | Ridly Greig | Florida Panthers | C/LW/RW | 38 | 5 | 4 | 9 | 3 | 2 | 0 | 10 | 30 | 35 | 9 | 33 | 14.29% | 0 | 282 | 7.43 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 55.56% | 18 | 0 | 0 | 0 | 0 | 0.64 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 17 | Jake Bean | Florida Panthers | D | 38 | 1 | 5 | 6 | 5 | 12 | 0 | 41 | 16 | 11 | 2 | 15 | 9.09% | 26 | 632 | 16.65 | 0 | 0 | 0 | 0 | 8 | 1 | 0 | 1 | 2 | 117 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
| 18 | Jack McBain | Florida Panthers | C | 38 | 2 | 2 | 4 | 2 | 19 | 5 | 31 | 29 | 28 | 9 | 18 | 7.14% | 4 | 268 | 7.06 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 48.08% | 339 | 0 | 0 | 0 | 0 | 0.30 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
| 19 | Isac Lundestrom | Florida Panthers | C/LW | 4 | 1 | 1 | 2 | 1 | 0 | 0 | 1 | 2 | 1 | 1 | 2 | 100.00% | 0 | 57 | 14.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 53.85% | 13 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| Statistiques d’équipe totales ou en moyenne | 684 | 152 | 275 | 427 | 133 | 300 | 20 | 729 | 727 | 1243 | 411 | 920 | 12.23% | 304 | 11255 | 16.46 | 40 | 68 | 108 | 294 | 1123 | 4 | 5 | 9 | 16 | 867 | 23 | 9 | 54.56% | 3334 | 0 | 0 | 1 | 0 | 0.76 | 4 | 9 | 1 | 1 | 2 | 21 | 22 | 25 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Stuart Skinner | Florida Panthers | 32 | 21 | 8 | 3 | 0.902 | 2.83 | 1931 | 2 | 1 | 91 | 932 | 0 | 3 | 1 | 0.444 | 9 | 31 | 5 | 1 | 2 | 0 |
| 2 | Vitek Vanecek | Florida Panthers | 7 | 3 | 2 | 1 | 0.869 | 4.19 | 372 | 0 | 0 | 26 | 199 | 0 | 0 | 1 | 0 | 0 | 7 | 31 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 39 | 24 | 10 | 4 | 0.897 | 3.05 | 2303 | 2 | 1 | 117 | 1131 | 0 | 3 | 2 | 9 | 38 | 36 | 1 | 2 | 0 | |||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire année 2 | Salaire année 3 | Salaire année 4 | Salaire année 5 | Salaire année 6 | Salaire année 7 | Salaire année 8 | Salaire année 9 | Salaire année 10 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Lowry | Florida Panthers | C | 32 | 1993-03-29 | USA | No | 210 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 5 | 2025-12-03 | False | False | Pro & Farm | 3,250,000$ | 1,828,125$ | 3,250,000$ | 1,828,125$ | No | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | - | - | - | - | - | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Aleksander Barkov | Florida Panthers | C | 30 | 1995-09-02 | FIN | No | 214 Lbs | 6 ft3 | No | No | Trade | 2025-09-26 | No | No | 5 | 2025-05-26 | False | False | Pro & Farm | 10,000,000$ | 5,625,000$ | 10,000,000$ | 5,625,000$ | No | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | - | - | - | - | - | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL |
| Alex DeBrincat | Florida Panthers | LW/RW | 28 | 1997-12-18 | USA | No | 180 Lbs | 5 ft8 | No | No | Trade | 2025-10-07 | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 7,875,000$ | 4,429,688$ | 7,875,000$ | 4,429,688$ | No | 7,875,000$ | - | - | - | - | - | - | - | - | 7,875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| Dylan Larkin | Florida Panthers | C | 29 | 1996-07-30 | USA | No | 199 Lbs | 6 ft1 | No | No | Trade | 2025-09-25 | No | No | 5 | 2025-05-26 | False | False | Pro & Farm | 8,700,000$ | 4,893,750$ | 8,700,000$ | 4,893,750$ | No | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | - | - | - | - | - | 8,700,000$ | 8,700,000$ | 8,700,000$ | 8,700,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL |
| Isac Lundestrom | Florida Panthers | C/LW | 26 | 1999-11-06 | SWE | No | 191 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 1,300,000$ | 731,250$ | 1,300,000$ | 731,250$ | No | 1,300,000$ | - | - | - | - | - | - | - | - | 1,300,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Jack McBain | Florida Panthers | C | 25 | 2000-01-06 | CAN | No | 219 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 5 | 2025-07-22 | False | False | Pro & Farm | 4,250,000$ | 2,390,625$ | 4,250,000$ | 2,390,625$ | No | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | - | - | - | - | - | 4,250,000$ | 4,250,000$ | 4,250,000$ | 4,250,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Jake Bean | Florida Panthers | D | 27 | 1998-06-09 | CAN | No | 191 Lbs | 6 ft1 | No | No | Assign Manually | No | Yes | 1 | 2025-05-26 | False | False | Pro & Farm | 1,750,000$ | 984,375$ | 1,750,000$ | 984,375$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| K'Andre Miller | Florida Panthers | D | 25 | 2000-01-21 | USA | No | 210 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 5 | 2025-07-02 | False | False | Pro & Farm | 7,500,000$ | 4,218,750$ | 7,500,000$ | 4,218,750$ | No | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | - | - | - | - | - | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Lawson Crouse | Florida Panthers | LW/RW | 28 | 1997-06-23 | CAN | No | 214 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 4,300,000$ | 2,418,750$ | 4,300,000$ | 2,418,750$ | No | 4,300,000$ | - | - | - | - | - | - | - | - | 4,300,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Logan Cooley | Florida Panthers | C/RW | 21 | 2004-05-04 | USA | No | 191 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 5 | 2025-12-03 | False | False | Pro & Farm | 950,000$ | 534,375$ | 950,000$ | 534,375$ | No | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | - | - | - | - | - | 10,000,000$ | 10,000,000$ | 10,000,000$ | 10,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Mario Ferraro | Florida Panthers | D | 27 | 1998-09-17 | CAN | No | 209 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 3,250,000$ | 1,828,125$ | 3,250,000$ | 1,828,125$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Mason Appleton | Florida Panthers | C/LW/RW | 29 | 1996-01-15 | USA | No | 194 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 2,900,000$ | 1,631,250$ | 2,900,000$ | 1,631,250$ | No | 2,900,000$ | - | - | - | - | - | - | - | - | 2,900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Mathieu Joseph | Florida Panthers | RW | 28 | 1997-02-09 | CAN | No | 186 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 2,950,000$ | 1,659,375$ | 2,950,000$ | 1,659,375$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Niko Mikkola | Florida Panthers | D | 29 | 1996-04-27 | FIN | No | 204 Lbs | 6 ft6 | No | No | Trade | 2025-10-07 | No | No | 5 | 2025-10-02 | False | False | Pro & Farm | 2,500,000$ | 1,406,250$ | 2,500,000$ | 1,406,250$ | No | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | - | - | - | - | - | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL |
| Pavel Buchnevich | Florida Panthers | C/LW | 30 | 1995-04-17 | RUS | No | 196 Lbs | 6 ft1 | No | No | Trade | 2025-09-04 | No | No | 5 | 2025-07-03 | False | False | Pro & Farm | 8,000,000$ | 4,500,000$ | 8,000,000$ | 4,500,000$ | No | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | - | - | - | - | - | 8,000,000$ | 8,000,000$ | 8,000,000$ | 8,000,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL |
| Ridly Greig | Florida Panthers | C/LW/RW | 23 | 2002-08-08 | CAN | No | 188 Lbs | 6 ft0 | No | No | Trade | 2025-10-02 | No | No | 4 | 2025-06-29 | False | False | Pro & Farm | 3,250,000$ | 1,828,125$ | 3,250,000$ | 1,828,125$ | No | 3,250,000$ | 3,250,000$ | 3,250,000$ | - | - | - | - | - | - | 3,250,000$ | 3,250,000$ | 3,250,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien NHL |
| Roope Hintz | Florida Panthers | C/RW | 29 | 1996-11-17 | FIN | No | 213 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 5 | 2025-05-26 | False | False | Pro & Farm | 8,450,000$ | 4,753,125$ | 8,450,000$ | 4,753,125$ | No | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | - | - | - | - | - | 8,450,000$ | 8,450,000$ | 8,450,000$ | 8,450,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Scott Mayfield | Florida Panthers | D | 33 | 1992-10-14 | USA | No | 213 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 5 | 2025-05-26 | False | False | Pro & Farm | 3,500,000$ | 1,968,750$ | 3,500,000$ | 1,968,750$ | No | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | - | - | - | - | - | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Stuart Skinner | Florida Panthers | G | 27 | 1998-11-01 | CAN | No | 230 Lbs | 6 ft4 | No | No | Assign Manually | No | Yes | 1 | 2025-05-26 | False | False | Pro & Farm | 2,600,000$ | 1,462,500$ | 2,600,000$ | 1,462,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Thomas Harley | Florida Panthers | D | 24 | 2001-08-19 | USA | No | 211 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 5 | 2025-12-03 | False | False | Pro & Farm | 4,000,000$ | 2,250,000$ | 4,000,000$ | 2,250,000$ | No | 10,587,000$ | 10,587,000$ | 10,587,000$ | 10,587,000$ | - | - | - | - | - | 10,587,000$ | 10,587,000$ | 10,587,000$ | 10,587,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Vitek Vanecek | Florida Panthers | G | 29 | 1996-01-09 | CZE | No | 184 Lbs | 6 ft2 | No | No | Assign Manually | No | Yes | 1 | 2025-07-02 | False | False | Pro & Farm | 1,500,000$ | 843,750$ | 1,500,000$ | 843,750$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 27.57 | 202 Lbs | 6 ft2 | 3.43 | 4,417,857$ |
| Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
|---|---|---|---|---|
| 92,775,000$ | 100,612,000$ | 84,237,000$ | 84,237,000$ | 80,987,000$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Pavel Buchnevich | Aleksander Barkov | Logan Cooley | 30 | 0 | 2 | 3 |
| 2 | Alex DeBrincat | Dylan Larkin | Roope Hintz | 30 | 0 | 2 | 3 |
| 3 | Lawson Crouse | Adam Lowry | Mason Appleton | 25 | 1 | 2 | 2 |
| 4 | Ridly Greig | Jack McBain | Mathieu Joseph | 15 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Thomas Harley | Mario Ferraro | 30 | 1 | 2 | 2 | |
| 2 | K'Andre Miller | Niko Mikkola | 30 | 1 | 2 | 2 | |
| 3 | Scott Mayfield | Jake Bean | 25 | 1 | 2 | 2 | |
| 4 | Thomas Harley | Mario Ferraro | 15 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Pavel Buchnevich | Aleksander Barkov | Roope Hintz | 50 | 0 | 1 | 4 |
| 2 | Alex DeBrincat | Dylan Larkin | Logan Cooley | 50 | 0 | 1 | 4 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | K'Andre Miller | Thomas Harley | 50 | 1 | 2 | 2 | |
| 2 | Niko Mikkola | Scott Mayfield | 50 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Roope Hintz | Pavel Buchnevich | 50 | 1 | 2 | 2 |
| 2 | Aleksander Barkov | Mathieu Joseph | 50 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Mario Ferraro | Scott Mayfield | 50 | 1 | 2 | 2 |
| 2 | Jake Bean | Niko Mikkola | 50 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Aleksander Barkov | 50 | 1 | 2 | 2 | Niko Mikkola | Scott Mayfield | 50 | 1 | 2 | 2 |
| 2 | Jack McBain | 50 | 1 | 2 | 2 | Scott Mayfield | Jake Bean | 50 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Aleksander Barkov | Pavel Buchnevich | 50 | 1 | 2 | 2 |
| 2 | Adam Lowry | Alex DeBrincat | 50 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | K'Andre Miller | Thomas Harley | 50 | 1 | 2 | 2 |
| 2 | Mario Ferraro | Scott Mayfield | 50 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Pavel Buchnevich | Aleksander Barkov | Roope Hintz | K'Andre Miller | Thomas Harley |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Ridly Greig | Adam Lowry | Mathieu Joseph | Mario Ferraro | Scott Mayfield |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Logan Cooley, Adam Lowry, Mason Appleton | Ridly Greig, Jack McBain | Mathieu Joseph |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Jake Bean, Niko Mikkola, K'Andre Miller | Thomas Harley | Scott Mayfield, Mario Ferraro |
| Tirs de pénalité |
|---|
| Aleksander Barkov, Alex DeBrincat, Pavel Buchnevich, Logan Cooley, Lawson Crouse |
| Gardien |
|---|
| #1 : , #2 : Vitek Vanecek |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Ridly Greig, Aleksander Barkov, Roope Hintz, Pavel Buchnevich, Mathieu Joseph, Adam Lowry, Logan Cooley, Alex DeBrincat, Lawson Crouse, Jack McBain |
| Lignes de défense personnalisées en prolongation |
|---|
| Scott Mayfield, K'Andre Miller, Thomas Harley, Mario Ferraro, Jake Bean |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| 1 | Anaheim Ducks | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 10 | 8 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 3 | 0.750 | 10 | 17 | 27 | 0 | 0 | 5 | 3 | 2 | 0 | 67 | 24 | 24 | 17 | 4 | 60 | 22 | 12 | 45 | 6 | 3 | 50.00% | 6 | 2 | 66.67% | 1 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 49 | 37 | 50 | 14 | 24 | 12 |
| 2 | Boston Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 1 | 2 | 0 | 30 | 7 | 10 | 13 | 0 | 38 | 9 | 12 | 30 | 3 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 23 | 15 | 25 | 7 | 11 | 5 |
| 3 | Buffalo Sabres | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 17 | 7 | 1 | 9 | 0 | 39 | 3 | 6 | 18 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 20 | 13 | 25 | 8 | 13 | 6 |
| 4 | Calgary Flames | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 2 | 0 | 3 | 0 | 25 | 13 | 3 | 9 | 0 | 25 | 10 | 14 | 18 | 2 | 2 | 100.00% | 6 | 0 | 100.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 22 | 14 | 23 | 7 | 13 | 6 |
| 5 | Carolina Hurricanes | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 3 | 5 | 2 | 0 | 71 | 26 | 28 | 17 | 0 | 79 | 17 | 18 | 45 | 7 | 4 | 57.14% | 9 | 2 | 77.78% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 47 | 33 | 46 | 13 | 25 | 13 |
| 6 | Chicago Blackhawks | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 2 | 4 | 6 | 0 | 0 | 1 | 1 | 0 | 2 | 28 | 7 | 11 | 9 | 5 | 29 | 6 | 8 | 19 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 27 | 20 | 24 | 7 | 12 | 6 |
| 7 | Colorado Avalanche | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 3 | 0 | 0 | 0 | 21 | 8 | 9 | 4 | 0 | 37 | 7 | 4 | 27 | 1 | 1 | 100.00% | 2 | 1 | 50.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 21 | 13 | 25 | 7 | 13 | 6 |
| 8 | Columbus Blue Jackets | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 50 | 22 | 14 | 14 | 0 | 26 | 6 | 8 | 24 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 24 | 16 | 22 | 7 | 12 | 7 |
| 9 | Dallas Stars | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 4 | 2 | 1 | 0 | 55 | 24 | 13 | 18 | 0 | 56 | 10 | 14 | 35 | 3 | 2 | 66.67% | 6 | 2 | 66.67% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 44 | 29 | 49 | 15 | 25 | 12 |
| 10 | Detroit Red Wings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 1 | 0 | 1 | 0 | 27 | 8 | 13 | 6 | 0 | 31 | 14 | 8 | 23 | 2 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 19 | 12 | 27 | 7 | 13 | 6 |
| 11 | Edmonton Oilers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 1 | 1 | 0 | 0 | 26 | 9 | 10 | 7 | 0 | 33 | 11 | 6 | 20 | 5 | 1 | 20.00% | 3 | 1 | 66.67% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 23 | 15 | 23 | 7 | 12 | 6 |
| 12 | Los Angeles Kings | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 9 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 8 | 14 | 22 | 1 | 0 | 3 | 2 | 2 | 1 | 72 | 21 | 21 | 24 | 6 | 63 | 15 | 18 | 38 | 5 | 3 | 60.00% | 9 | 2 | 77.78% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 46 | 31 | 49 | 13 | 26 | 12 |
| 13 | Nashville Predators | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 10 | 7 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 3 | 0.750 | 10 | 17 | 27 | 0 | 0 | 4 | 1 | 5 | 0 | 67 | 25 | 11 | 29 | 2 | 61 | 14 | 8 | 33 | 11 | 5 | 45.45% | 4 | 1 | 75.00% | 1 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 48 | 35 | 48 | 14 | 24 | 11 |
| 14 | New Jersey Devils | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 4 | 0 | 4 | 0 | 56 | 20 | 12 | 24 | 0 | 51 | 17 | 34 | 30 | 9 | 4 | 44.44% | 7 | 2 | 71.43% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 50 | 35 | 44 | 14 | 24 | 12 |
| 15 | New York Islanders | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 0 | 1 | 39 | 19 | 6 | 13 | 1 | 20 | 9 | 8 | 21 | 3 | 2 | 66.67% | 4 | 1 | 75.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 26 | 20 | 21 | 7 | 12 | 6 |
| 16 | Ottawa Senators | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 0 | 4 | 0 | 1 | 39 | 6 | 17 | 14 | 2 | 43 | 11 | 19 | 20 | 1 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 25 | 18 | 25 | 7 | 12 | 5 |
| 17 | Philadelphia Flyers | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 13 | 5 | 8 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 6 | 1.000 | 13 | 25 | 38 | 0 | 0 | 8 | 1 | 3 | 1 | 108 | 43 | 27 | 36 | 2 | 81 | 22 | 14 | 61 | 14 | 3 | 21.43% | 7 | 2 | 71.43% | 1 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 81 | 59 | 64 | 19 | 38 | 20 |
| 18 | Pittsburgh Penguins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 8 | 13 | 0 | 0 | 1 | 4 | 0 | 0 | 33 | 8 | 13 | 12 | 0 | 23 | 8 | 23 | 15 | 1 | 1 | 100.00% | 9 | 2 | 77.78% | 1 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 23 | 16 | 25 | 6 | 11 | 5 |
| 19 | San Jose Sharks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 2 | 3 | 0 | 0 | 36 | 12 | 16 | 8 | 0 | 34 | 8 | 4 | 17 | 4 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 25 | 18 | 21 | 6 | 13 | 6 |
| 20 | St. Louis Blues | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 2 | 1 | 1 | 0 | 32 | 9 | 8 | 15 | 0 | 19 | 7 | 4 | 22 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 23 | 17 | 23 | 7 | 13 | 6 |
| 21 | Tampa Bay Lightning | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 0.667 | 10 | 18 | 28 | 0 | 0 | 3 | 3 | 3 | 1 | 116 | 34 | 38 | 43 | 1 | 92 | 23 | 14 | 50 | 12 | 2 | 16.67% | 7 | 5 | 28.57% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 78 | 57 | 64 | 20 | 36 | 18 |
| 22 | Toronto Maple Leafs | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 7 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 6 | 9 | 15 | 0 | 0 | 1 | 3 | 2 | 0 | 32 | 8 | 14 | 9 | 1 | 40 | 8 | 10 | 17 | 3 | 1 | 33.33% | 3 | 2 | 33.33% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 26 | 20 | 22 | 6 | 13 | 6 |
| 23 | Utah Mammoth | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 3 | 1 | 0 | 0 | 27 | 12 | 10 | 5 | 0 | 35 | 10 | 8 | 21 | 4 | 2 | 50.00% | 4 | 0 | 100.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 23 | 16 | 25 | 7 | 11 | 6 |
| 24 | Vancouver Canucks | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 0 | 3 | 1 | 0 | 23 | 6 | 8 | 9 | 0 | 16 | 9 | 6 | 19 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 26 | 19 | 20 | 7 | 13 | 7 |
| 25 | Vegas Golden Knights | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 5 | 4 | 1 | 2 | 0.500 | 5 | 8 | 13 | 1 | 0 | 1 | 0 | 3 | 2 | 57 | 18 | 14 | 23 | 5 | 70 | 14 | 18 | 27 | 7 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 50 | 35 | 48 | 14 | 25 | 12 |
| 26 | Washington Capitals | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 2 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1.000 | 9 | 16 | 25 | 0 | 1 | 5 | 3 | 1 | 0 | 89 | 33 | 33 | 23 | 0 | 32 | 14 | 4 | 34 | 12 | 1 | 8.33% | 2 | 0 | 100.00% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 51 | 37 | 42 | 14 | 26 | 14 |
| Total | 38 | 18 | 10 | 0 | 5 | 2 | 1 | 2 | 153 | 121 | 32 | 23 | 12 | 6 | 0 | 2 | 1 | 0 | 2 | 93 | 67 | 26 | 15 | 6 | 4 | 0 | 3 | 1 | 1 | 0 | 60 | 54 | 6 | 52 | 0.684 | 153 | 275 | 428 | 2 | 1 | 65 | 43 | 39 | 9 | 1243 | 429 | 384 | 410 | 29 | 1133 | 304 | 302 | 729 | 133 | 40 | 30.08% | 132 | 35 | 73.48% | 4 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 933 | 661 | 892 | 274 | 484 | 241 | |
| _Since Last GM Reset | 38 | 18 | 10 | 0 | 5 | 2 | 1 | 2 | 153 | 121 | 32 | 23 | 12 | 6 | 0 | 2 | 1 | 0 | 2 | 93 | 67 | 26 | 15 | 6 | 4 | 0 | 3 | 1 | 1 | 0 | 60 | 54 | 6 | 52 | 0.684 | 153 | 275 | 428 | 2 | 1 | 65 | 43 | 39 | 9 | 1243 | 429 | 384 | 410 | 29 | 1133 | 304 | 302 | 729 | 133 | 40 | 30.08% | 132 | 35 | 73.48% | 4 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 933 | 661 | 892 | 274 | 484 | 241 | |
| _Vs Conference | 20 | 11 | 4 | 0 | 4 | 1 | 0 | 0 | 84 | 58 | 26 | 13 | 9 | 1 | 0 | 2 | 1 | 0 | 0 | 61 | 34 | 27 | 7 | 2 | 3 | 0 | 2 | 0 | 0 | 0 | 23 | 24 | -1 | 31 | 0.775 | 84 | 152 | 236 | 0 | 1 | 34 | 25 | 21 | 4 | 707 | 241 | 226 | 233 | 7 | 595 | 161 | 178 | 388 | 75 | 20 | 26.67% | 72 | 23 | 68.06% | 2 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 499 | 356 | 457 | 141 | 253 | 128 | |
| _Vs Division | 8 | 2 | 3 | 0 | 2 | 1 | 0 | 0 | 28 | 31 | -3 | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 18 | 18 | 0 | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 10 | 13 | -3 | 9 | 0.563 | 28 | 49 | 77 | 0 | 0 | 7 | 11 | 8 | 2 | 261 | 70 | 93 | 94 | 4 | 283 | 68 | 69 | 158 | 24 | 3 | 12.50% | 30 | 13 | 56.67% | 0 | 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% | 194 | 138 | 190 | 57 | 101 | 49 | |
| Total pour les joueurs | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
| 38 | 52 | W2 | 153 | 275 | 428 | 1243 | 1133 | 304 | 302 | 729 | 2 | 1 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 38 | 18 | 10 | 5 | 2 | 1 | 2 | 153 | 121 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 23 | 12 | 6 | 2 | 1 | 0 | 2 | 93 | 67 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 15 | 6 | 4 | 3 | 1 | 1 | 0 | 60 | 54 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 6 | 4 | 0 | 0 | 0 | 0 |
| Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
|---|---|---|---|---|---|---|
| 133 | 40 | 30.08% | 132 | 35 | 73.48% | 4 |
| Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
|---|---|---|---|---|---|---|---|
| 429 | 384 | 410 | 29 | 65 | 43 | 39 | 9 |
| Mises en jeu | ||||||||
|---|---|---|---|---|---|---|---|---|
| Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
| 770 | 1404 | 54.84% | 700 | 1257 | 55.69% | 349 | 631 | 55.31% |
| Temps avec la rondelle | |||||
|---|---|---|---|---|---|
| En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
| 933 | 661 | 892 | 274 | 484 | 241 |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Capacité de l’aréna - Tendance du prix des billets - % | |||||
|---|---|---|---|---|---|
| Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
| Capacité | 6000 | 5000 | 2000 | 4000 | 2000 |
| Prix des billets | 90 | 60 | 45 | 30 | 190 |
| Assistance | 133,418 | 109,593 | 43,709 | 89,002 | 44,230 |
| Attendance PCT | 96.68% | 95.30% | 95.02% | 96.74% | 96.15% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 18 | 18259 - 96.10% | 1,787,436$ | 41,111,025$ | 19000 | 100 |
| Dépenses | ||||
|---|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
| 40,296,468$ | 92,775,000$ | 92,775,000$ | 1$0$ | 0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|---|
| 92,775,000$ | 40,076,417$ | 0$ | 21 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 32,173,846$ | 108 | 483,203$ | 52,185,924$ |
| Total de l’équipe estimé | ||
|---|---|---|
| Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
| 52,480,176$ | 27,907,355$ | 15,426,038$ |
| Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
|---|---|---|---|
| 92,775,000$ | 2,725,000$ | 95,500,000$ | 22,175,000$ |
| Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Date de la Dernière Transaction | Lien |
|---|---|---|---|---|---|---|
| David Bedkowski | Florida Panthers | 2025 | 192 | Fantasy Draft | Lien | |
| Jack Murtagh | Florida Panthers | 2025 | 128 | Fantasy Draft | Lien | |
| Jacob Rombach | Florida Panthers | 2025 | 129 | Fantasy Draft | Lien | |
| Kieren Dervin | Florida Panthers | 2025 | 320 | Fantasy Draft | Lien | |
| Luca Romano | Florida Panthers | 2025 | 193 | Fantasy Draft | Lien | |
| Malte Vass | Florida Panthers | 2025 | 257 | Fantasy Draft | Lien | |
| Matthew Schaefer | Florida Panthers | 2025 | 1 | Fantasy Draft | Lien | |
| Peyton Kettles | Florida Panthers | 2025 | 256 | Fantasy Draft | Lien |
| Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
|---|---|---|---|---|---|---|---|
| 2026 | | | | ||||
| 2027 | | | | | |||
| 2028 | | | | | | | |
| 2029 | | | | | | | |
| 2030 | | | | | | | |
| Choix au repêchage conditionnel | |||||||
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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| Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|