![]() | Hartford Wolf Pack |
| GP: 26 | W: 15 | L: 11 | OTL: 0 | P: 30 GF: 116 | GA: 97 | PP%: 37.10% | PK%: 73.13% DG: Alexandre Gagné | Morale : 50 | Moyenne d’équipe : 62 Prochains matchs #454 vs Abbotsford Canucks |
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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 | Justin Dowling | X | 100.00 | 65 | 41 | 82 | 71 | 65 | 77 | 79 | 67 | 69 | 64 | 61 | 63 | 66 | 77 | 67 | 0 | 50 | 67 | 0 | 35 | 2 | 775,000$ | ||||
| 2 | Brennan Othmann | X | 100.00 | 65 | 42 | 74 | 71 | 74 | 74 | 65 | 66 | 42 | 63 | 60 | 60 | 66 | 55 | 50 | 0 | 50 | 64 | 0 | 22 | 1 | 863,333$ | ||||
| 3 | Matthew Stienburg | X | 100.00 | 63 | 56 | 65 | 70 | 71 | 69 | 61 | 63 | 41 | 58 | 58 | 61 | 63 | 51 | 50 | 0 | 50 | 62 | 0 | 25 | 1 | 775,000$ | ||||
| 4 | Dominik Shine | X | 100.00 | 53 | 51 | 60 | 64 | 59 | 72 | 71 | 64 | 44 | 63 | 56 | 55 | 62 | 65 | 58 | 0 | 50 | 61 | 0 | 32 | 1 | 775,000$ | ||||
| 5 | Danila Klimovich | X | 99.00 | 66 | 44 | 65 | 65 | 67 | 62 | 60 | 62 | 43 | 56 | 59 | 61 | 62 | 50 | 50 | 0 | 50 | 60 | 0 | 22 | 1 | 833,333$ | ||||
| 6 | Joakim Kemell | X | 100.00 | 60 | 42 | 69 | 66 | 64 | 61 | 58 | 63 | 44 | 61 | 59 | 54 | 63 | 50 | 50 | 0 | 50 | 60 | 0 | 21 | 2 | 886,667$ | ||||
| 7 | Brad Lambert | X | 100.00 | 56 | 42 | 69 | 65 | 63 | 61 | 58 | 64 | 44 | 63 | 55 | 52 | 61 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 2 | 886,667$ | ||||
| 8 | Reid Schaefer | X | 100.00 | 68 | 42 | 66 | 60 | 72 | 59 | 56 | 59 | 42 | 55 | 54 | 60 | 58 | 50 | 50 | 0 | 50 | 59 | 0 | 22 | 2 | 886,667$ | ||||
| 9 | Drew Helleson | X | 100.00 | 71 | 51 | 67 | 71 | 79 | 77 | 72 | 69 | 40 | 65 | 63 | 71 | 68 | 56 | 50 | 0 | 50 | 69 | 0 | 24 | 2 | 1,100,000$ | ||||
| 10 | Marc Del Gaizo | X | 100.00 | 70 | 46 | 76 | 74 | 71 | 77 | 70 | 70 | 40 | 66 | 62 | 73 | 69 | 56 | 50 | 0 | 50 | 69 | 0 | 26 | 1 | 775,000$ | ||||
| 11 | Adam Wilsby | X | 100.00 | 63 | 41 | 78 | 74 | 73 | 78 | 64 | 67 | 40 | 62 | 61 | 70 | 67 | 52 | 50 | 0 | 50 | 67 | 0 | 25 | 2 | 775,000$ | ||||
| 12 | Phil Kemp | X | 100.00 | 65 | 45 | 66 | 65 | 67 | 67 | 66 | 62 | 40 | 54 | 56 | 68 | 61 | 54 | 50 | 0 | 50 | 63 | 0 | 26 | 2 | 775,000$ | ||||
| 13 | Artem Duda | X | 100.00 | 63 | 41 | 69 | 67 | 62 | 62 | 61 | 62 | 40 | 61 | 57 | 65 | 62 | 50 | 50 | 0 | 50 | 62 | 0 | 21 | 2 | 950,000$ | ||||
| 14 | Nate Clurman | X | 100.00 | 63 | 42 | 70 | 65 | 65 | 66 | 63 | 58 | 40 | 53 | 53 | 67 | 58 | 55 | 50 | 0 | 50 | 62 | 0 | 27 | 1 | 775,000$ | ||||
| 15 | Hunter Brzustewicz | X | 100.00 | 59 | 41 | 69 | 64 | 62 | 60 | 58 | 62 | 40 | 62 | 56 | 64 | 61 | 50 | 50 | 0 | 50 | 61 | 0 | 21 | 2 | 950,000$ | ||||
| 16 | Mikulas Hovorka | X | 100.00 | 64 | 42 | 64 | 60 | 68 | 63 | 62 | 60 | 40 | 55 | 55 | 64 | 58 | 51 | 50 | 0 | 50 | 61 | 0 | 24 | 1 | 950,000$ | ||||
| 17 | Marek Alscher | X | 100.00 | 61 | 42 | 63 | 62 | 63 | 61 | 59 | 58 | 40 | 55 | 55 | 61 | 58 | 50 | 50 | 0 | 50 | 59 | 0 | 21 | 2 | 865,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | David Goyette | X | 100.00 | 59 | 41 | 67 | 62 | 58 | 61 | 59 | 58 | 41 | 57 | 55 | 59 | 58 | 50 | 50 | 0 | 50 | 58 | 0 | 21 | 2 | 891,667$ | ||||
| 2 | Tyler Boucher | X | 100.00 | 63 | 43 | 66 | 59 | 67 | 62 | 60 | 58 | 41 | 52 | 53 | 54 | 56 | 50 | 50 | 0 | 50 | 57 | 0 | 22 | 1 | 863,333$ | ||||
| 3 | Aidan Fulp | X | 100.00 | 59 | 41 | 71 | 59 | 68 | 64 | 62 | 57 | 40 | 53 | 52 | 58 | 56 | 52 | 50 | 0 | 50 | 59 | 0 | 25 | 0 | 0$ | ||||
| MOYENNE D’ÉQUIPE | 99.95 | 63 | 44 | 69 | 66 | 67 | 67 | 63 | 62 | 43 | 59 | 57 | 62 | 62 | 54 | 51 | 0 | 50 | 62 | ||||||||||
| 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 | Brandon Halverson | 100.00 | 72 | 66 | 68 | 71 | 70 | 71 | 72 | 71 | 71 | 70 | 67 | 59 | 52 | 0 | 50 | 65 | 0 | 29 | 1 | 775,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | T.J. Semptimphelter | 100.00 | 59 | 57 | 57 | 63 | 58 | 56 | 55 | 54 | 55 | 58 | 54 | 51 | 50 | 0 | 50 | 53 | 0 | 23 | 0 | 0$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 66 | 62 | 63 | 67 | 64 | 64 | 64 | 63 | 63 | 64 | 61 | 55 | 51 | 0 | 50 | 59 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| John Tortorella | 1 | 1 | 1 | 1 | 1 | 1 | 1 | USA | 66 | 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 | Marc Del Gaizo | Hartford Wolf Pack (NYR) | D | 26 | 13 | 39 | 52 | 9 | 14 | 0 | 68 | 46 | 93 | 37 | 77 | 13.98% | 56 | 628 | 24.16 | 6 | 5 | 11 | 41 | 52 | 0 | 1 | 1 | 0 | 47 | 3 | 0 | 0% | 0 | 0 | 0 | 0 | 1 | 1.66 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 |
| 2 | Brennan Othmann | Hartford Wolf Pack (NYR) | LW | 26 | 24 | 22 | 46 | 13 | 6 | 0 | 71 | 83 | 162 | 37 | 124 | 14.81% | 12 | 556 | 21.41 | 3 | 7 | 10 | 22 | 47 | 1 | 0 | 1 | 6 | 48 | 2 | 3 | 52.55% | 255 | 0 | 0 | 0 | 1 | 1.65 | 0 | 1 | 0 | 0 | 0 | 4 | 5 | 3 |
| 3 | Danila Klimovich | Hartford Wolf Pack (NYR) | RW | 26 | 18 | 16 | 34 | 3 | 20 | 0 | 67 | 65 | 132 | 37 | 100 | 13.64% | 11 | 536 | 20.63 | 2 | 5 | 7 | 18 | 46 | 0 | 1 | 1 | 1 | 39 | 4 | 0 | 47.83% | 115 | 0 | 0 | 0 | 2 | 1.27 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 |
| 4 | Phil Kemp | Hartford Wolf Pack (NYR) | D | 26 | 8 | 20 | 28 | 4 | 20 | 0 | 38 | 27 | 56 | 22 | 40 | 14.29% | 37 | 516 | 19.87 | 5 | 3 | 8 | 26 | 42 | 0 | 1 | 1 | 0 | 38 | 0 | 1 | 40.00% | 5 | 0 | 0 | 0 | 0 | 1.08 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 3 |
| 5 | Nate Clurman | Hartford Wolf Pack (NYR) | D | 26 | 6 | 20 | 26 | 3 | 16 | 0 | 43 | 32 | 32 | 11 | 27 | 18.75% | 51 | 422 | 16.25 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 21 | 0 | 1 | 50.00% | 16 | 0 | 0 | 0 | 0 | 1.23 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 4 |
| 6 | Hunter Brzustewicz | Hartford Wolf Pack (NYR) | D | 26 | 3 | 18 | 21 | -1 | 8 | 0 | 45 | 43 | 31 | 8 | 24 | 9.68% | 27 | 398 | 15.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 22 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 1.06 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
| 7 | Artem Duda | Hartford Wolf Pack (NYR) | D | 26 | 4 | 12 | 16 | 3 | 25 | 5 | 38 | 45 | 61 | 13 | 33 | 6.56% | 33 | 506 | 19.46 | 2 | 4 | 6 | 27 | 42 | 1 | 0 | 1 | 1 | 32 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 |
| 8 | Joakim Kemell | Hartford Wolf Pack (NYR) | RW | 4 | 3 | 3 | 6 | 1 | 0 | 0 | 3 | 6 | 17 | 4 | 3 | 17.65% | 2 | 82 | 20.52 | 0 | 1 | 1 | 2 | 8 | 0 | 0 | 0 | 0 | 6 | 2 | 0 | 50.00% | 8 | 0 | 0 | 1 | 0 | 1.46 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 1 |
| Statistiques d’équipe totales ou en moyenne | 186 | 79 | 150 | 229 | 35 | 109 | 5 | 373 | 347 | 584 | 169 | 428 | 13.53% | 229 | 3646 | 19.60 | 19 | 25 | 44 | 137 | 241 | 2 | 3 | 5 | 8 | 256 | 11 | 5 | 50.88% | 399 | 0 | 0 | 1 | 4 | 1.26 | 1 | 4 | 0 | 0 | 0 | 17 | 18 | 16 | |||
| 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 | Brandon Halverson | Hartford Wolf Pack (NYR) | 4 | 3 | 1 | 0 | 0.911 | 4.16 | 245 | 0 | 0 | 17 | 190 | 0 | 0 | 0 | 0.800 | 5 | 4 | 0 | 0 | 0 | 0 |
| Statistiques d’équipe totales ou en moyenne | 4 | 3 | 1 | 0 | 0.911 | 4.16 | 245 | 0 | 0 | 17 | 190 | 0 | 0 | 0 | 5 | 4 | 0 | 0 | 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 | 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 Wilsby | Hartford Wolf Pack (NYR) | D | 25 | 2000-08-07 | SWE | No | 188 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2025-06-29 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Aidan Fulp | Hartford Wolf Pack (NYR) | D | 25 | 2000-02-29 | USA | No | 207 Lbs | 6 ft3 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |||
| Artem Duda | Hartford Wolf Pack (NYR) | D | 21 | 2004-04-08 | RUS | No | 187 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 950,000$ | 585,028$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Brad Lambert | Hartford Wolf Pack (NYR) | C | 21 | 2003-12-19 | FIN | No | 181 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 886,667$ | 546,027$ | 0$ | 0$ | No | 886,667$ | - | - | - | - | - | - | - | - | 886,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Brandon Halverson | Hartford Wolf Pack (NYR) | G | 29 | 1996-03-29 | USA | No | 236 Lbs | 6 ft5 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Brennan Othmann | Hartford Wolf Pack (NYR) | LW | 22 | 2003-01-05 | CAN | No | 192 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 863,333$ | 531,657$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Danila Klimovich | Hartford Wolf Pack (NYR) | RW | 22 | 2003-01-09 | BEL | No | 205 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 833,333$ | 513,182$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| David Goyette | Hartford Wolf Pack (NYR) | C | 21 | 2004-03-27 | CAN | No | 174 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 891,667$ | 549,106$ | 0$ | 0$ | No | 891,667$ | - | - | - | - | - | - | - | - | 891,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Dominik Shine | Hartford Wolf Pack (NYR) | RW | 32 | 1993-04-18 | USA | No | 181 Lbs | 5 ft11 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Drew Helleson | Hartford Wolf Pack (NYR) | D | 24 | 2001-03-26 | USA | No | 213 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 2 | 2025-07-22 | False | False | Pro & Farm | 1,100,000$ | 677,401$ | 0$ | 0$ | No | 1,100,000$ | - | - | - | - | - | - | - | - | 1,100,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Hunter Brzustewicz | Hartford Wolf Pack (NYR) | D | 21 | 2004-11-29 | USA | No | 190 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 950,000$ | 585,028$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Joakim Kemell | Hartford Wolf Pack (NYR) | RW | 21 | 2004-04-27 | FIN | No | 192 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 886,667$ | 546,027$ | 0$ | 0$ | No | 886,667$ | - | - | - | - | - | - | - | - | 886,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Justin Dowling | Hartford Wolf Pack (NYR) | C | 35 | 1990-10-01 | CAN | No | 180 Lbs | 5 ft10 | No | No | Fantasy Draft | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Marc Del Gaizo | Hartford Wolf Pack (NYR) | D | 26 | 1999-10-11 | USA | No | 188 Lbs | 5 ft11 | No | No | Fantasy Draft | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Marek Alscher | Hartford Wolf Pack (NYR) | D | 21 | 2004-04-07 | CZE | No | 196 Lbs | 6 ft3 | No | No | Fantasy Draft | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 865,000$ | 532,684$ | 0$ | 0$ | No | 865,000$ | - | - | - | - | - | - | - | - | 865,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Matthew Stienburg | Hartford Wolf Pack (NYR) | C | 25 | 2000-10-07 | CAN | No | 182 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 1 | 2025-06-29 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Mikulas Hovorka | Hartford Wolf Pack (NYR) | D | 24 | 2001-07-01 | CZE | No | 218 Lbs | 6 ft6 | No | No | Fantasy Draft | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 950,000$ | 585,028$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Nate Clurman | Hartford Wolf Pack (NYR) | D | 27 | 1998-05-08 | USA | No | 205 Lbs | 6 ft2 | No | No | Fantasy Draft | No | No | 1 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Phil Kemp | Hartford Wolf Pack (NYR) | D | 26 | 1999-02-12 | USA | No | 203 Lbs | 6 ft3 | No | No | Fantasy Draft | No | No | 2 | 2025-07-02 | False | False | Pro & Farm | 775,000$ | 477,260$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Reid Schaefer | Hartford Wolf Pack (NYR) | LW | 22 | 2003-09-21 | CAN | No | 220 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 2 | 2025-05-26 | False | False | Pro & Farm | 886,667$ | 546,027$ | 0$ | 0$ | No | 886,667$ | - | - | - | - | - | - | - | - | 886,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| T.J. Semptimphelter | Hartford Wolf Pack (NYR) | G | 23 | 2002-05-09 | USA | No | 190 Lbs | 6 ft1 | No | No | Fantasy Draft | No | No | 0 | 2025-07-22 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| Tyler Boucher | Hartford Wolf Pack (NYR) | RW | 22 | 2003-01-16 | USA | No | 205 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2025-05-26 | False | False | Pro & Farm | 863,333$ | 531,657$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 22 | 24.32 | 197 Lbs | 6 ft2 | 1.41 | 778,485$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brennan Othmann | 30 | 1 | 2 | 2 | ||
| 2 | Danila Klimovich | 30 | 1 | 2 | 2 | ||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | Brennan Othmann | Danila Klimovich | 15 | 1 | 2 | 2 | |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Marc Del Gaizo | 30 | 1 | 2 | 2 | ||
| 2 | Phil Kemp | Artem Duda | 30 | 1 | 2 | 2 | |
| 3 | Nate Clurman | Hunter Brzustewicz | 25 | 1 | 2 | 2 | |
| 4 | Marc Del Gaizo | 15 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Brennan Othmann | 50 | 1 | 2 | 2 | ||
| 2 | Danila Klimovich | 50 | 1 | 2 | 2 | ||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Marc Del Gaizo | 50 | 1 | 2 | 2 | ||
| 2 | Phil Kemp | Artem Duda | 50 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Brennan Othmann | 50 | 1 | 2 | 2 | |
| 2 | Danila Klimovich | 50 | 1 | 2 | 2 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Marc Del Gaizo | 50 | 1 | 2 | 2 | |
| 2 | Phil Kemp | Artem Duda | 50 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Brennan Othmann | 50 | 1 | 2 | 2 | Marc Del Gaizo | 50 | 1 | 2 | 2 | |
| 2 | 50 | 1 | 2 | 2 | Phil Kemp | Artem Duda | 50 | 1 | 2 | 2 | |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Brennan Othmann | 50 | 1 | 2 | 2 | |
| 2 | Danila Klimovich | 50 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Marc Del Gaizo | 50 | 1 | 2 | 2 | |
| 2 | Phil Kemp | Artem Duda | 50 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brennan Othmann | Marc Del Gaizo | |||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Brennan Othmann | Marc Del Gaizo | |||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Nate Clurman, Hunter Brzustewicz, Phil Kemp | Nate Clurman | Hunter Brzustewicz, Phil Kemp |
| Tirs de pénalité |
|---|
| Brennan Othmann, , Danila Klimovich, , |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| Brennan Othmann, , Danila Klimovich, , , , , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| Marc Del Gaizo, , Phil Kemp, Artem Duda, Nate Clurman |
| 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 | Bakersfield Condors | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 4 | 7 | 0 | 0 | 45 | 38 | 29 | 5 | 24 | 313 | 290 | 316 | 16 | 31 | 6 | 4 | 19 | 1 | 0 | 0.00% | 2 | 2 | 0.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 2 | Bridgeport Islanders | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 15 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 12 | 0 | 4 | 0.667 | 18 | 34 | 52 | 1 | 0 | 45 | 38 | 29 | 5 | 107 | 313 | 290 | 316 | 16 | 101 | 34 | 22 | 58 | 5 | 2 | 40.00% | 9 | 2 | 77.78% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 3 | Calgary Wranglers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 6 | 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 14 | 6 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 14 | 28 | 42 | 0 | 1 | 45 | 38 | 29 | 5 | 81 | 313 | 290 | 316 | 16 | 76 | 23 | 8 | 37 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 4 | Charlotte Checkers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 45 | 38 | 29 | 5 | 31 | 313 | 290 | 316 | 16 | 49 | 14 | 6 | 23 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 1 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 5 | Coachella Valley Firebirds | 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 | 8 | 12 | 0 | 0 | 45 | 38 | 29 | 5 | 31 | 313 | 290 | 316 | 16 | 31 | 13 | 11 | 9 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 6 | Grand Rapids Griffins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0.333 | 11 | 20 | 31 | 2 | 0 | 45 | 38 | 29 | 5 | 102 | 313 | 290 | 316 | 16 | 88 | 22 | 20 | 64 | 5 | 1 | 20.00% | 11 | 3 | 72.73% | 1 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 7 | Henderson Silver Knights | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 7 | 11 | 0 | 0 | 45 | 38 | 29 | 5 | 29 | 313 | 290 | 316 | 16 | 27 | 7 | 2 | 17 | 3 | 1 | 33.33% | 1 | 0 | 100.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 8 | Laval Rocket | 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 | 7 | 12 | 0 | 0 | 45 | 38 | 29 | 5 | 41 | 313 | 290 | 316 | 16 | 34 | 10 | 2 | 28 | 6 | 1 | 16.67% | 1 | 0 | 100.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 9 | Lehigh Valley Phantoms | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 6 | 10 | 0 | 0 | 45 | 38 | 29 | 5 | 35 | 313 | 290 | 316 | 16 | 49 | 11 | 2 | 30 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 10 | Providence Bruins | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 45 | 38 | 29 | 5 | 28 | 313 | 290 | 316 | 16 | 36 | 9 | 0 | 18 | 1 | 1 | 100.00% | 0 | 0 | 0% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 11 | Rochester Americans | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 45 | 38 | 29 | 5 | 32 | 313 | 290 | 316 | 16 | 31 | 7 | 4 | 26 | 0 | 0 | 0% | 2 | 1 | 50.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 12 | Rockford IceHogs | 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 | 45 | 38 | 29 | 5 | 40 | 313 | 290 | 316 | 16 | 32 | 9 | 14 | 11 | 5 | 2 | 40.00% | 6 | 1 | 83.33% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 13 | San Diego Gulls | 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 | 45 | 38 | 29 | 5 | 24 | 313 | 290 | 316 | 16 | 49 | 12 | 6 | 22 | 4 | 2 | 50.00% | 3 | 1 | 66.67% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 14 | San Jose Barracuda | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 45 | 38 | 29 | 5 | 31 | 313 | 290 | 316 | 16 | 34 | 13 | 19 | 24 | 2 | 1 | 50.00% | 4 | 2 | 50.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 15 | Springfield Thunderbirds | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 8 | 15 | 23 | 0 | 0 | 45 | 38 | 29 | 5 | 83 | 313 | 290 | 316 | 16 | 64 | 19 | 12 | 48 | 8 | 3 | 37.50% | 6 | 1 | 83.33% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 16 | Syracuse Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 45 | 38 | 29 | 5 | 34 | 313 | 290 | 316 | 16 | 30 | 14 | 4 | 21 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 17 | Toronto Marlies | 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 | 10 | 15 | 0 | 0 | 45 | 38 | 29 | 5 | 27 | 313 | 290 | 316 | 16 | 23 | 9 | 4 | 22 | 0 | 0 | 0% | 2 | 1 | 50.00% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| 18 | Wilkes-Barre Penguins | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 22 | 12 | 10 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 15 | 6 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 6 | 1.000 | 22 | 39 | 61 | 0 | 0 | 45 | 38 | 29 | 5 | 150 | 313 | 290 | 316 | 16 | 147 | 49 | 14 | 69 | 11 | 5 | 45.45% | 7 | 2 | 71.43% | 0 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 |
| Total | 26 | 11 | 11 | 0 | 3 | 0 | 1 | 0 | 116 | 97 | 19 | 14 | 6 | 5 | 0 | 3 | 0 | 0 | 0 | 70 | 51 | 19 | 12 | 5 | 6 | 0 | 0 | 0 | 1 | 0 | 46 | 46 | 0 | 30 | 0.577 | 116 | 211 | 327 | 3 | 1 | 45 | 38 | 29 | 5 | 930 | 313 | 290 | 316 | 16 | 932 | 281 | 154 | 546 | 62 | 23 | 37.10% | 67 | 18 | 73.13% | 2 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 | |
| _Since Last GM Reset | 26 | 11 | 11 | 0 | 3 | 0 | 1 | 0 | 116 | 97 | 19 | 14 | 6 | 5 | 0 | 3 | 0 | 0 | 0 | 70 | 51 | 19 | 12 | 5 | 6 | 0 | 0 | 0 | 1 | 0 | 46 | 46 | 0 | 30 | 0.577 | 116 | 211 | 327 | 3 | 1 | 45 | 38 | 29 | 5 | 930 | 313 | 290 | 316 | 16 | 932 | 281 | 154 | 546 | 62 | 23 | 37.10% | 67 | 18 | 73.13% | 2 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 | |
| _Vs Conference | 18 | 9 | 6 | 0 | 2 | 0 | 1 | 0 | 83 | 67 | 16 | 9 | 5 | 2 | 0 | 2 | 0 | 0 | 0 | 44 | 30 | 14 | 9 | 4 | 4 | 0 | 0 | 0 | 1 | 0 | 39 | 37 | 2 | 24 | 0.667 | 83 | 149 | 232 | 3 | 0 | 45 | 38 | 29 | 5 | 670 | 313 | 290 | 316 | 16 | 652 | 198 | 90 | 407 | 40 | 14 | 35.00% | 44 | 10 | 77.27% | 2 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 | |
| _Vs Division | 9 | 8 | 2 | 0 | 0 | 0 | 1 | 0 | 31 | 34 | -3 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 4 | 4 | 1 | 0 | 0 | 0 | 1 | 0 | 13 | 16 | -3 | 18 | 1.000 | 31 | 55 | 86 | 2 | 0 | 45 | 38 | 29 | 5 | 295 | 313 | 290 | 316 | 16 | 291 | 85 | 40 | 202 | 15 | 4 | 26.67% | 21 | 5 | 76.19% | 2 | 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% | 656 | 470 | 590 | 175 | 325 | 167 | |
| 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 |
| 26 | 30 | L6 | 116 | 211 | 327 | 930 | 932 | 281 | 154 | 546 | 3 | 1 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 26 | 11 | 11 | 3 | 0 | 1 | 0 | 116 | 97 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 14 | 6 | 5 | 3 | 0 | 0 | 0 | 70 | 51 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 12 | 5 | 6 | 0 | 0 | 1 | 0 | 46 | 46 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 3 | 7 | 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 |
|---|---|---|---|---|---|---|
| 62 | 23 | 37.10% | 67 | 18 | 73.13% | 2 |
| 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 |
|---|---|---|---|---|---|---|---|
| 313 | 290 | 316 | 16 | 45 | 38 | 29 | 5 |
| 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 |
| 454 | 906 | 50.11% | 447 | 871 | 51.32% | 247 | 458 | 53.93% |
| 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 |
| 656 | 470 | 590 | 175 | 325 | 167 |
| 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 | |
| Capacité | 6000 | 3000 |
| Prix des billets | 50 | 25 |
| Assistance | 80,720 | 40,067 |
| Assistance PCT | 96.10% | 95.40% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 21 | 8628 - 95.86% | 431,801$ | 6,045,210$ | 9000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 656,153$ | 1,712,667$ | 1,712,667$ | 1$0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 656,153$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 9,067,815$ | 109 | 9,676$ | 1,054,684$ |
| # | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 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 |
|---|