![]() | Winnipeg Jets |
GP: 5 | W: 3 | L: 2 | OTL: 0 | P: 6 GF: 16 | GA: 13 | PP%: 15.00% | PK%: 86.96% DG: | Morale : 58 | Moyenne d’équipe : 71 Prochains matchs #93 vs St. Louis Blues |
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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 | Kyle Connor | 0 | X | 96.00 | 61 | 35 | 95 | 86 | 74 | 91 | 88 | 82 | 55 | 80 | 83 | 67 | 84 | 72 | 77 | 69 | 48 | 75 | 0 | 28 | 2 | 4,128,000$ | ||||
2 | Mark Scheifele | 0 | X | 96.00 | 67 | 57 | 79 | 82 | 85 | 91 | 89 | 81 | 78 | 79 | 83 | 67 | 82 | 80 | 78 | 68 | 44 | 75 | 0 | 32 | 3 | 4,523,000$ | ||||
3 | Tyler Toffoli | 0 | X | 99.00 | 68 | 35 | 92 | 73 | 75 | 87 | 90 | 79 | 63 | 76 | 82 | 64 | 80 | 82 | 76 | 44 | 47 | 73 | 0 | 32 | 5 | 2,894,000$ | ||||
4 | Adam Lowry | 0 | X | 100.00 | 80 | 77 | 79 | 68 | 91 | 86 | 90 | 67 | 80 | 72 | 65 | 89 | 63 | 79 | 88 | 52 | 48 | 72 | 0 | 32 | 3 | 4,827,000$ | ||||
5 | Nikolaj Ehlers | 0 | X | 100.00 | 63 | 40 | 90 | 85 | 69 | 86 | 84 | 78 | 55 | 80 | 75 | 65 | 82 | 74 | 72 | 71 | 49 | 72 | 0 | 29 | 1 | 3,525,000$ | ||||
6 | Sean Monahan | 0 | X | 100.00 | 61 | 36 | 92 | 73 | 81 | 88 | 80 | 74 | 85 | 77 | 75 | 78 | 72 | 79 | 75 | 70 | 48 | 72 | 0 | 30 | 4 | 3,548,000$ | ||||
7 | Gabriel Vilardi | 0 | X | 100.00 | 63 | 37 | 91 | 75 | 87 | 85 | 80 | 76 | 64 | 72 | 82 | 63 | 77 | 65 | 71 | 82 | 49 | 71 | 0 | 25 | 5 | 2,163,000$ | ||||
8 | Nino Niederreiter | 0 | X | 99.00 | 76 | 37 | 89 | 73 | 84 | 86 | 89 | 71 | 59 | 68 | 74 | 65 | 76 | 83 | 75 | 54 | 50 | 71 | 0 | 32 | 5 | 2,847,000$ | ||||
9 | Alex Iafallo | 0 | X | 100.00 | 63 | 35 | 95 | 72 | 75 | 86 | 87 | 69 | 57 | 71 | 67 | 81 | 68 | 75 | 77 | 34 | 45 | 70 | 0 | 31 | 2 | 3,196,000$ | ||||
10 | Cole Perfetti | 0 | X | 100.00 | 63 | 34 | 93 | 75 | 69 | 84 | 83 | 73 | 62 | 74 | 71 | 64 | 75 | 63 | 67 | 86 | 50 | 69 | 0 | 23 | 5 | 3,054,000$ | ||||
11 | Mason Appleton | 0 | X | 100.00 | 72 | 36 | 92 | 70 | 79 | 87 | 83 | 68 | 63 | 71 | 65 | 79 | 67 | 70 | 69 | 42 | 46 | 69 | 0 | 29 | 4 | 3,655,000$ | ||||
12 | Vladislav Namestnikov | 0 | X | 100.00 | 72 | 40 | 85 | 74 | 71 | 83 | 89 | 69 | 73 | 72 | 63 | 75 | 66 | 80 | 72 | 49 | 48 | 69 | 0 | 32 | 2 | 3,920,000$ | ||||
13 | Josh Morrissey | 0 | X | 99.00 | 71 | 38 | 83 | 80 | 73 | 95 | 89 | 78 | 30 | 91 | 73 | 63 | 61 | 74 | 75 | 69 | 42 | 73 | 0 | 30 | 3 | 5,258,000$ | ||||
14 | Neal Pionk | 0 | X | 99.00 | 81 | 43 | 79 | 70 | 72 | 92 | 90 | 68 | 30 | 77 | 65 | 79 | 54 | 72 | 71 | 36 | 46 | 70 | 0 | 29 | 4 | 4,712,000$ | ||||
15 | Brenden Dillon | 0 | X | 100.00 | 84 | 75 | 70 | 64 | 91 | 90 | 89 | 63 | 30 | 73 | 61 | 85 | 53 | 84 | 75 | 23 | 50 | 69 | 0 | 34 | 3 | 2,779,000$ | ||||
16 | Dylan DeMelo | 0 | X | 100.00 | 77 | 35 | 83 | 65 | 76 | 91 | 89 | 63 | 30 | 77 | 60 | 86 | 52 | 76 | 72 | 38 | 46 | 69 | 0 | 31 | 1 | 2,709,000$ | ||||
17 | Colin Miller | 0 | X | 100.00 | 75 | 38 | 84 | 67 | 77 | 87 | 83 | 65 | 30 | 71 | 64 | 66 | 54 | 76 | 74 | 30 | 45 | 68 | 0 | 32 | 4 | 3,476,000$ | ||||
18 | Nate Schmidt | 0 | X | 100.00 | 68 | 35 | 95 | 69 | 73 | 88 | 85 | 67 | 30 | 72 | 62 | 70 | 54 | 80 | 74 | 26 | 50 | 68 | 0 | 33 | 2 | 3,307,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 99.33 | 70 | 42 | 87 | 73 | 78 | 88 | 87 | 72 | 54 | 75 | 71 | 73 | 68 | 76 | 74 | 52 | 47 | 71 |
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 | Connor Hellebuyck | 0 | 96.00 | 98 | 94 | 89 | 88 | 97 | 96 | 98 | 97 | 96 | 98 | 97 | 82 | 85 | 54 | 43 | 79 | 0 | 31 | 2 | 6,384,478$ | |
2 | Laurent Brossoit | 0 | 100.00 | 86 | 81 | 76 | 84 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 73 | 85 | 50 | 46 | 73 | 0 | 32 | 3 | 5,803,549$ | |
Rayé | ||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 98.00 | 92 | 88 | 83 | 86 | 91 | 90 | 92 | 91 | 90 | 92 | 91 | 78 | 85 | 52 | 45 | 76 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
David Bell | 79 | 66 | 70 | 65 | 72 | 68 | 79 | CAN | 47 | 1 | 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 | Josh Morrissey | ![]() | D | 5 | 2 | 5 | 7 | 1 | 8 | 0 | 11 | 5 | 6 | 7 | 5 | 33.33% | 9 | 127 | 25.48 | 1 | 1 | 2 | 3 | 17 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
2 | Kyle Connor | ![]() | LW | 5 | 1 | 6 | 7 | 3 | 0 | 0 | 1 | 7 | 14 | 9 | 10 | 7.14% | 2 | 130 | 26.18 | 0 | 2 | 2 | 1 | 18 | 0 | 0 | 0 | 0 | 24 | 1 | 0 | 33.93% | 56 | 0 | 0 | 0 | 0 | 1.07 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
3 | Mark Scheifele | ![]() | C | 5 | 2 | 3 | 5 | 3 | 0 | 0 | 16 | 8 | 25 | 6 | 16 | 8.00% | 1 | 130 | 26.19 | 0 | 0 | 0 | 4 | 18 | 0 | 0 | 0 | 1 | 24 | 0 | 1 | 48.84% | 129 | 0 | 0 | 0 | 0 | 0.76 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
4 | Nikolaj Ehlers | ![]() | LW | 5 | 1 | 4 | 5 | 3 | 7 | 5 | 3 | 4 | 12 | 6 | 8 | 8.33% | 2 | 84 | 16.91 | 0 | 1 | 1 | 1 | 14 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0% | 7 | 0 | 0 | 0 | 0 | 1.18 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 |
5 | Brenden Dillon | ![]() | D | 5 | 1 | 3 | 4 | 4 | 8 | 0 | 23 | 2 | 12 | 3 | 2 | 8.33% | 9 | 107 | 21.55 | 0 | 1 | 1 | 4 | 15 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
6 | Sean Monahan | ![]() | C | 5 | 3 | 1 | 4 | 3 | 2 | 0 | 9 | 5 | 19 | 3 | 11 | 15.79% | 1 | 91 | 18.25 | 1 | 0 | 1 | 4 | 14 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 42.86% | 7 | 0 | 0 | 0 | 0 | 0.88 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
7 | Dylan DeMelo | ![]() | D | 5 | 0 | 3 | 3 | 4 | 2 | 0 | 8 | 6 | 3 | 2 | 3 | 0% | 7 | 110 | 22.14 | 0 | 0 | 0 | 2 | 15 | 0 | 0 | 0 | 0 | 19 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.54 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Nino Niederreiter | ![]() | RW | 5 | 2 | 1 | 3 | 3 | 2 | 0 | 10 | 4 | 8 | 0 | 8 | 25.00% | 0 | 99 | 19.89 | 1 | 0 | 1 | 4 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.45% | 11 | 0 | 0 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Tyler Toffoli | ![]() | C | 5 | 2 | 1 | 3 | 2 | 4 | 0 | 10 | 9 | 10 | 5 | 11 | 20.00% | 4 | 103 | 20.67 | 0 | 0 | 0 | 2 | 14 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 38.84% | 121 | 0 | 0 | 0 | 0 | 0.58 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
10 | Adam Lowry | ![]() | C | 5 | 0 | 1 | 1 | -2 | 6 | 0 | 13 | 11 | 9 | 3 | 8 | 0% | 1 | 76 | 15.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 47.56% | 82 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Alex Iafallo | ![]() | LW | 5 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 5 | 6 | 3 | 10 | 16.67% | 0 | 62 | 12.43 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0% | 3 | 0 | 0 | 0 | 0 | 0.32 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Gabriel Vilardi | ![]() | C | 5 | 1 | 0 | 1 | -1 | 0 | 0 | 3 | 8 | 9 | 4 | 7 | 11.11% | 2 | 60 | 12.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Neal Pionk | ![]() | D | 5 | 0 | 1 | 1 | 1 | 10 | 0 | 17 | 4 | 8 | 2 | 4 | 0% | 6 | 125 | 25.12 | 0 | 0 | 0 | 2 | 17 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Cole Perfetti | ![]() | C | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Colin Miller | ![]() | D | 5 | 0 | 0 | 0 | -2 | 6 | 0 | 12 | 3 | 0 | 0 | 0 | 0% | 5 | 69 | 13.83 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Mason Appleton | ![]() | C | 5 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 4 | 1.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Nate Schmidt | ![]() | D | 5 | 0 | 0 | 0 | -2 | 2 | 0 | 5 | 1 | 6 | 1 | 2 | 0% | 2 | 59 | 11.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Vladislav Namestnikov | ![]() | C | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0% | 0 | 5 | 1.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 50.00% | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 90 | 16 | 29 | 45 | 17 | 57 | 5 | 145 | 82 | 147 | 54 | 105 | 10.88% | 51 | 1450 | 16.11 | 3 | 5 | 8 | 27 | 167 | 0 | 0 | 0 | 1 | 169 | 3 | 1 | 42.32% | 423 | 0 | 0 | 0 | 0 | 0.62 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | 3 |
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 | Connor Hellebuyck | ![]() | 5 | 3 | 2 | 0 | 0.922 | 2.61 | 299 | 0 | 1 | 13 | 167 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 5 | 3 | 2 | 0 | 0.922 | 2.61 | 299 | 0 | 1 | 13 | 167 | 0 | 0 | 0 | 0 | 5 | 0 | 1 | 0 | 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 | 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 | ![]() | C | 32 | 1993-03-29 | CAN | No | 210 Lbs | 6 ft5 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 4,827,000$ | 4,827,000$ | 4,525,312$ | No | 4,827,000$ | 4,827,000$ | - | - | - | - | - | - | - | 4,827,000$ | 4,827,000$ | 7,204,000$ | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Alex Iafallo | ![]() | LW | 31 | 1993-12-21 | USA | No | 201 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 3,196,000$ | 3,196,000$ | 2,996,250$ | No | 3,196,000$ | - | - | - | - | - | - | - | - | 3,196,000$ | 4,338,000$ | 4,338,000$ | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Brenden Dillon | ![]() | D | 34 | 1990-11-13 | CAN | No | 225 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 2,779,000$ | 2,779,000$ | 2,605,312$ | No | 2,779,000$ | 2,779,000$ | - | - | - | - | - | - | - | 2,779,000$ | 2,779,000$ | 4,841,000$ | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Cole Perfetti | ![]() | C | 23 | 2002-01-01 | CAN | No | 185 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 5 | 2025-03-28 | False | False | Pro & Farm | 3,054,000$ | 3,054,000$ | 2,863,125$ | No | 3,054,000$ | 3,054,000$ | 3,054,000$ | 3,054,000$ | - | - | - | - | - | 3,054,000$ | 3,054,000$ | 3,054,000$ | 3,054,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | |
Colin Miller | ![]() | D | 32 | 1992-10-29 | CAN | No | 200 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 4 | 2025-03-28 | False | False | Pro & Farm | 3,476,000$ | 3,476,000$ | 3,258,750$ | No | 3,476,000$ | 3,476,000$ | 3,476,000$ | - | - | - | - | - | - | 3,476,000$ | 3,476,000$ | 3,476,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
Connor Hellebuyck | ![]() | G | 31 | 1993-05-19 | USA | No | 207 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 6,384,478$ | 6,384,478$ | 5,985,448$ | No | 6,384,478$ | - | - | - | - | - | - | - | - | 6,384,478$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Dylan DeMelo | ![]() | D | 31 | 1993-05-01 | CAN | No | 194 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2025-03-28 | False | False | Pro & Farm | 2,709,000$ | 2,709,000$ | 2,539,688$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Gabriel Vilardi | ![]() | C | 25 | 1999-08-16 | CAN | No | 216 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 5 | 2025-03-28 | False | False | Pro & Farm | 2,163,000$ | 2,163,000$ | 2,027,812$ | No | 2,163,000$ | 2,163,000$ | 2,163,000$ | 2,163,000$ | - | - | - | - | - | 2,163,000$ | 2,163,000$ | 2,163,000$ | 2,163,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | |
Josh Morrissey | ![]() | D | 30 | 1995-03-28 | CAN | No | 195 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 5,258,000$ | 5,258,000$ | 4,929,375$ | No | 5,258,000$ | 5,258,000$ | - | - | - | - | - | - | - | 5,258,000$ | 5,258,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Kyle Connor | ![]() | LW | 28 | 1996-12-09 | USA | No | 183 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 4,128,000$ | 4,128,000$ | 3,870,000$ | No | 4,128,000$ | - | - | - | - | - | - | - | - | 4,128,000$ | 7,416,000$ | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Laurent Brossoit | ![]() | G | 32 | 1993-03-23 | CAN | No | 203 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 5,803,549$ | 5,803,549$ | 5,440,827$ | No | 5,803,549$ | 5,803,549$ | - | - | - | - | - | - | - | 5,803,549$ | 5,803,549$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Mark Scheifele | ![]() | C | 32 | 1993-03-15 | CAN | No | 207 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 3 | 2025-03-28 | False | False | Pro & Farm | 4,523,000$ | 4,523,000$ | 4,240,312$ | No | 4,523,000$ | 4,523,000$ | - | - | - | - | - | - | - | 4,523,000$ | 4,523,000$ | 5,797,000$ | 5,797,000$ | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
Mason Appleton | ![]() | C | 29 | 1996-01-15 | USA | No | 194 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2025-03-28 | False | False | Pro & Farm | 3,655,000$ | 3,655,000$ | 3,426,562$ | No | 3,655,000$ | 3,655,000$ | 3,655,000$ | - | - | - | - | - | - | 3,655,000$ | 3,655,000$ | 3,655,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
Nate Schmidt | ![]() | D | 33 | 1991-07-16 | USA | No | 192 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 3,307,000$ | 3,307,000$ | 3,100,312$ | No | 3,307,000$ | - | - | - | - | - | - | - | - | 3,307,000$ | 5,054,000$ | 5,054,000$ | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Neal Pionk | ![]() | D | 29 | 1995-07-29 | USA | No | 190 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 4 | 2025-03-28 | False | False | Pro & Farm | 4,712,000$ | 4,712,000$ | 4,417,500$ | No | 4,712,000$ | 4,712,000$ | 4,712,000$ | - | - | - | - | - | - | 4,712,000$ | 4,712,000$ | 4,712,000$ | 6,277,000$ | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
Nikolaj Ehlers | ![]() | LW | 29 | 1996-02-14 | DNK | No | 172 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2025-03-28 | False | False | Pro & Farm | 3,525,000$ | 3,525,000$ | 3,304,688$ | No | - | - | - | - | - | - | - | - | - | 5,093,000$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
Nino Niederreiter | ![]() | RW | 32 | 1992-09-08 | CHE | No | 218 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 5 | 2025-03-28 | False | False | Pro & Farm | 2,847,000$ | 2,847,000$ | 2,669,062$ | No | 2,847,000$ | 2,847,000$ | 2,847,000$ | 2,847,000$ | - | - | - | - | - | 2,847,000$ | 2,847,000$ | 2,847,000$ | 2,847,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | |
Sean Monahan | ![]() | C | 30 | 1994-10-12 | CAN | No | 202 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 4 | 2025-03-28 | False | False | Pro & Farm | 3,548,000$ | 3,548,000$ | 3,326,250$ | No | 3,548,000$ | 3,548,000$ | 3,548,000$ | - | - | - | - | - | - | 3,548,000$ | 3,548,000$ | 3,548,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
Tyler Toffoli | ![]() | C | 32 | 1992-04-24 | CAN | No | 203 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 5 | 2025-03-28 | False | False | Pro & Farm | 2,894,000$ | 2,894,000$ | 2,713,125$ | No | 2,894,000$ | 2,894,000$ | 2,894,000$ | 2,894,000$ | - | - | - | - | - | 2,894,000$ | 2,894,000$ | 2,894,000$ | 2,894,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien / Lien NHL | |
Vladislav Namestnikov | ![]() | C | 32 | 1992-11-22 | RUS | No | 181 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-03-28 | False | False | Pro & Farm | 3,920,000$ | 3,920,000$ | 3,675,000$ | No | 3,920,000$ | - | - | - | - | - | - | - | - | 3,920,000$ | 5,803,000$ | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 30.35 | 199 Lbs | 6 ft2 | 3.15 | 3,835,451$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
76,709,027$ | 70,475,027$ | 49,539,549$ | 26,349,000$ | 10,958,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Kyle Connor | Mark Scheifele | Nino Niederreiter | 40 | 1 | 2 | 2 |
2 | Nikolaj Ehlers | Tyler Toffoli | Sean Monahan | 30 | 1 | 2 | 2 |
3 | Alex Iafallo | Adam Lowry | Gabriel Vilardi | 20 | 1 | 2 | 2 |
4 | Kyle Connor | Sean Monahan | Mark Scheifele | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Josh Morrissey | Neal Pionk | 40 | 1 | 2 | 2 | |
2 | Dylan DeMelo | Brenden Dillon | 30 | 1 | 2 | 2 | |
3 | Nate Schmidt | Colin Miller | 20 | 1 | 2 | 2 | |
4 | Josh Morrissey | Neal Pionk | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Kyle Connor | Mark Scheifele | Nino Niederreiter | 60 | 1 | 2 | 2 |
2 | Nikolaj Ehlers | Tyler Toffoli | Sean Monahan | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Josh Morrissey | Neal Pionk | 60 | 1 | 2 | 2 | |
2 | Dylan DeMelo | Brenden Dillon | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Kyle Connor | Mark Scheifele | 60 | 1 | 2 | 2 |
2 | Tyler Toffoli | Adam Lowry | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Josh Morrissey | Neal Pionk | 60 | 1 | 2 | 2 |
2 | Dylan DeMelo | Brenden Dillon | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Kyle Connor | 60 | 1 | 2 | 2 | Josh Morrissey | Neal Pionk | 60 | 1 | 2 | 2 |
2 | Mark Scheifele | 40 | 1 | 2 | 2 | Dylan DeMelo | Brenden Dillon | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Kyle Connor | Mark Scheifele | 60 | 1 | 2 | 2 |
2 | Tyler Toffoli | Adam Lowry | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Josh Morrissey | Neal Pionk | 60 | 1 | 2 | 2 |
2 | Dylan DeMelo | Brenden Dillon | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Kyle Connor | Mark Scheifele | Nino Niederreiter | Josh Morrissey | Neal Pionk |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Kyle Connor | Mark Scheifele | Nino Niederreiter | Josh Morrissey | Neal Pionk |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Mason Appleton, Cole Perfetti, Vladislav Namestnikov | Mason Appleton, Cole Perfetti | Vladislav Namestnikov |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Nate Schmidt, Colin Miller, Dylan DeMelo | Nate Schmidt | Colin Miller, Dylan DeMelo |
Tirs de pénalité |
---|
Kyle Connor, Mark Scheifele, Tyler Toffoli, Adam Lowry, Nikolaj Ehlers |
Gardien |
---|
#1 : Connor Hellebuyck, #2 : Laurent Brossoit |
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 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 0 | 1 | 0 | 0 | 33 | 11 | 10 | 12 | 0 | 26 | 7 | 4 | 26 | 5 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 25 | 17 | 21 | 7 | 13 | 6 |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 4 | 2 | 0 | 0 | 25 | 9 | 13 | 3 | 0 | 40 | 8 | 12 | 21 | 5 | 3 | 60.00% | 6 | 1 | 83.33% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 22 | 16 | 26 | 7 | 11 | 5 |
3 | ![]() | 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 | 9 | 14 | 0 | 0 | 3 | 1 | 1 | 0 | 38 | 18 | 6 | 14 | 0 | 25 | 8 | 12 | 31 | 4 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 25 | 18 | 22 | 6 | 12 | 6 |
4 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 4 | 6 | 0 | 1 | 0 | 2 | 0 | 0 | 25 | 8 | 10 | 7 | 0 | 34 | 15 | 13 | 33 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 18 | 11 | 28 | 8 | 13 | 6 |
5 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 0 | 1 | 1 | 0 | 26 | 7 | 10 | 9 | 0 | 42 | 13 | 16 | 34 | 4 | 0 | 0.00% | 7 | 0 | 100.00% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 17 | 10 | 29 | 7 | 12 | 6 |
Total | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 13 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 6 | 0.600 | 16 | 29 | 45 | 0 | 1 | 7 | 7 | 2 | 0 | 147 | 53 | 49 | 45 | 0 | 167 | 51 | 57 | 145 | 20 | 3 | 15.00% | 23 | 3 | 86.96% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 109 | 73 | 127 | 36 | 62 | 31 | |
_Since Last GM Reset | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 13 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 6 | 0.600 | 16 | 29 | 45 | 0 | 1 | 7 | 7 | 2 | 0 | 147 | 53 | 49 | 45 | 0 | 167 | 51 | 57 | 145 | 20 | 3 | 15.00% | 23 | 3 | 86.96% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 109 | 73 | 127 | 36 | 62 | 31 | |
_Vs Conference | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.500 | 11 | 20 | 31 | 0 | 1 | 4 | 6 | 1 | 0 | 109 | 35 | 43 | 31 | 0 | 142 | 43 | 45 | 114 | 16 | 3 | 18.75% | 19 | 2 | 89.47% | 0 | 71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% | 84 | 55 | 105 | 30 | 50 | 24 |
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 |
5 | 6 | W1 | 16 | 29 | 45 | 147 | 167 | 51 | 57 | 145 | 0 | 1 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 3 | 2 | 0 | 0 | 0 | 0 | 16 | 13 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 2 | 1 | 0 | 0 | 0 | 0 | 9 | 6 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 7 | 7 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 2 | 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 |
---|---|---|---|---|---|---|
20 | 3 | 15.00% | 23 | 3 | 86.96% | 0 |
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 |
---|---|---|---|---|---|---|---|
53 | 49 | 45 | 0 | 7 | 7 | 2 | 0 |
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 |
71 | 169 | 42.01% | 81 | 183 | 44.26% | 27 | 71 | 38.03% |
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 |
109 | 73 | 127 | 36 | 62 | 31 |
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 | 1000 |
Prix des billets | 100 | 60 | 35 | 25 | 200 |
Assistance | 16,110 | 14,529 | 5,638 | 11,758 | 2,825 |
Attendance PCT | 89.50% | 96.86% | 93.97% | 97.98% | 94.17% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
38 | 16953 - 94.19% | 1,120,690$ | 3,362,069$ | 18000 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
4,794,312$ | 76,709,027$ | 76,709,027$ | 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 |
---|---|---|---|---|
76,709,027$ | 4,794,312$ | 0$ | 20 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
42,586,207$ | 180 | 399,526$ | 71,914,680$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
73,283,520$ | 8,493,093$ | -22,204,220$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
76,709,027$ | 10,990,973$ | 87,700,000$ | 76,709,027$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 |
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Année | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
2 | ![]() | ![]() | ![]() | ![]() | ![]() |
3 | ![]() | ![]() | ![]() | ![]() | ![]() |
4 | ![]() | ![]() | ![]() | ![]() | ![]() |
5 | ![]() | ![]() | ![]() | ![]() | ![]() |
6 | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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