 | Chicago Wolves |
| GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: | Morale : 32 | Moyenne d’équipe : 69 |
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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 | Berkly Catton (R) | X | X | 100.00 | 77 | 41 | 82 | 75 | 78 | 84 | 90 | 75 | 75 | 75 | 75 | 73 | 71 | 56 | 56 | 0 | 61 | 71 | 0 | 20 | 3 | 942,500$ | |||
| 2 | Nick Lardis (R) | X | 100.00 | 79 | 41 | 81 | 75 | 77 | 83 | 89 | 75 | 55 | 73 | 76 | 73 | 72 | 56 | 56 | 0 | 62 | 70 | 0 | 20 | 3 | 865,000$ | ||||
| 3 | Tyson Kozak (R) | X | X | X | 100.00 | 80 | 41 | 88 | 74 | 77 | 83 | 89 | 70 | 78 | 70 | 70 | 74 | 69 | 63 | 63 | 0 | 58 | 70 | 0 | 23 | 2 | 850,000$ | ||
| 4 | Clark Bishop | X | 100.00 | 80 | 55 | 80 | 73 | 73 | 79 | 88 | 66 | 72 | 66 | 67 | 71 | 67 | 72 | 72 | 0 | 62 | 68 | 0 | 30 | 1 | 850,000$ | ||||
| 5 | John Farinacci (R) | X | 100.00 | 74 | 41 | 84 | 73 | 75 | 79 | 86 | 67 | 74 | 67 | 66 | 72 | 67 | 63 | 63 | 0 | 68 | 67 | 0 | 25 | 1 | 775,000$ | ||||
| 6 | Thomas Bordeleau (R) (A) | X | X | X | 100.00 | 73 | 41 | 80 | 72 | 72 | 80 | 86 | 69 | 70 | 69 | 67 | 71 | 68 | 63 | 63 | 0 | 58 | 67 | 0 | 24 | 2 | 875,000$ | ||
| 7 | Spencer Smallman | X | 100.00 | 79 | 55 | 80 | 72 | 72 | 77 | 86 | 65 | 51 | 66 | 65 | 70 | 66 | 68 | 68 | 0 | 62 | 66 | 0 | 29 | 1 | 700,000$ | ||||
| 8 | Hunter St-Martin (R) | X | 100.00 | 74 | 43 | 80 | 72 | 72 | 76 | 86 | 65 | 55 | 65 | 65 | 70 | 64 | 53 | 53 | 0 | 62 | 65 | 0 | 20 | 3 | 828,333$ | ||||
| 9 | Chase Priskie | X | 100.00 | 76 | 45 | 80 | 73 | 73 | 79 | 87 | 67 | 30 | 65 | 63 | 75 | 67 | 72 | 72 | 0 | 62 | 70 | 0 | 30 | 1 | 700,000$ | ||||
| 10 | Jet Woo (R) | X | 100.00 | 85 | 55 | 77 | 73 | 73 | 79 | 87 | 66 | 30 | 66 | 62 | 75 | 66 | 66 | 66 | 0 | 62 | 70 | 0 | 25 | 1 | 860,833$ | ||||
| 11 | Maksymilian Szuber (R) | X | 100.00 | 79 | 55 | 80 | 73 | 74 | 79 | 87 | 67 | 30 | 67 | 62 | 75 | 68 | 60 | 60 | 0 | 68 | 69 | 0 | 23 | 1 | 859,167$ | ||||
| 12 | Artyom Duda (R) | X | 100.00 | 73 | 41 | 82 | 73 | 73 | 78 | 86 | 67 | 30 | 67 | 62 | 74 | 66 | 56 | 56 | 0 | 68 | 68 | 0 | 22 | 2 | 950,000$ | ||||
| 13 | Topias Vilen (R) | X | 100.00 | 74 | 41 | 83 | 73 | 73 | 78 | 86 | 67 | 30 | 67 | 62 | 74 | 67 | 60 | 60 | 0 | 68 | 68 | 0 | 23 | 1 | 836,667$ | ||||
| 14 | Vsevolod Komarov (R) | X | 100.00 | 80 | 60 | 79 | 72 | 72 | 76 | 86 | 66 | 30 | 66 | 62 | 73 | 65 | 56 | 56 | 0 | 66 | 68 | 0 | 22 | 2 | 835,000$ | ||||
| 15 | Hunter Skinner (R) | X | 100.00 | 87 | 75 | 78 | 71 | 71 | 76 | 86 | 65 | 30 | 65 | 62 | 73 | 64 | 66 | 66 | 0 | 50 | 68 | 0 | 25 | 2 | 700,000$ | ||||
| 16 | Jakub Dvorak (R) | X | 100.00 | 75 | 45 | 80 | 71 | 71 | 76 | 84 | 64 | 30 | 64 | 61 | 73 | 64 | 56 | 56 | 0 | 61 | 67 | 0 | 20 | 3 | 840,000$ | ||||
| 17 | Cam Allen (R) | X | 100.00 | 77 | 55 | 80 | 72 | 72 | 76 | 84 | 65 | 30 | 65 | 62 | 73 | 65 | 53 | 53 | 0 | 59 | 67 | 0 | 21 | 3 | 855,000$ | ||||
| 18 | Tyson Jugnauth (R) | X | 100.00 | 75 | 43 | 80 | 73 | 73 | 77 | 85 | 68 | 30 | 68 | 62 | 73 | 67 | 53 | 53 | 0 | 62 | 67 | 0 | 22 | 3 | 950,000$ | ||||
| 19 | Michael Benning (R) | X | 100.00 | 75 | 43 | 80 | 72 | 72 | 78 | 85 | 67 | 30 | 67 | 63 | 73 | 67 | 56 | 56 | 0 | 29 | 67 | 0 | 24 | 1 | 916,667$ | ||||
| 20 | Jackson Edward (R) | X | 100.00 | 76 | 45 | 80 | 71 | 71 | 75 | 83 | 64 | 30 | 64 | 61 | 72 | 65 | 56 | 56 | 0 | 60 | 66 | 0 | 22 | 2 | 831,667$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| 1 | Miko Matikka (R) | X | 100.00 | 73 | 41 | 84 | 71 | 71 | 76 | 83 | 65 | 55 | 65 | 64 | 70 | 63 | 56 | 56 | 0 | 35 | 65 | 0 | 22 | 1 | 870,000$ | ||||
| 2 | Josh Lopina (R) | X | 100.00 | 75 | 43 | 80 | 71 | 71 | 75 | 84 | 64 | 70 | 64 | 65 | 70 | 63 | 63 | 63 | 0 | 28 | 65 | 0 | 25 | 1 | 700,000$ | ||||
| 3 | Tyler Thorpe (R) | X | 100.00 | 82 | 65 | 79 | 72 | 72 | 76 | 83 | 65 | 55 | 65 | 64 | 69 | 64 | 53 | 53 | 0 | 28 | 65 | 0 | 20 | 3 | 868,333$ | ||||
| MOYENNE D’ÉQUIPE | 100.00 | 77 | 48 | 81 | 72 | 73 | 78 | 86 | 67 | 47 | 67 | 65 | 72 | 66 | 60 | 60 | 0 | 56 | 68 | ||||||||||
| 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 | Dustin Tokarski | 100.00 | 83 | 85 | 88 | 81 | 83 | 85 | 83 | 83 | 81 | 83 | 76 | 89 | 89 | 0 | 76 | 81 | 0 | 36 | 3 | 900,000$ | |
| 2 | Niklas Kokko (R) | 100.00 | 83 | 83 | 85 | 84 | 83 | 83 | 83 | 84 | 83 | 82 | 75 | 56 | 56 | 0 | 80 | 78 | 0 | 22 | 2 | 891,667$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 83 | 84 | 87 | 83 | 83 | 84 | 83 | 84 | 82 | 83 | 76 | 73 | 73 | 0 | 78 | 80 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Cam Abbot | 83 | 89 | 81 | 85 | 70 | 75 | 77 | Can | 41 | 3 | 500,000$ |
| 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 |
|---|
| 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Artyom Duda | Chicago Wolves (CAR) | D | 22 | 2004-04-08 | RUS | Yes | 187 Lbs | 6 ft1 | No | No | Prospect | No | No | 2 | 2025-11-21 | False | False | Pro & Farm | 950,000$ | 542,857$ | 0$ | 0$ | No | 950,000$ | - | - | - | - | - | - | - | - | 950,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Berkly Catton | Chicago Wolves (CAR) | C/LW | 20 | 2006-01-14 | CAN | Yes | 179 Lbs | 5 ft10 | No | No | Prospect | No | No | 3 | 2026-01-27 | False | False | Pro & Farm | 942,500$ | 538,571$ | 0$ | 0$ | No | 942,500$ | 942,500$ | - | - | - | - | - | - | - | 942,500$ | 942,500$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Cam Allen | Chicago Wolves (CAR) | D | 21 | 2005-01-07 | CAN | Yes | 194 Lbs | 6 ft0 | No | No | Prospect | No | No | 3 | 2026-01-29 | False | False | Pro & Farm | 855,000$ | 488,571$ | 0$ | 0$ | No | 855,000$ | 855,000$ | - | - | - | - | - | - | - | 855,000$ | 855,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Chase Priskie | Chicago Wolves (CAR) | D | 30 | 1996-03-19 | USA | No | 192 Lbs | 6 ft0 | No | No | N/A | Yes | No | 1 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Clark Bishop | Chicago Wolves (CAR) | C | 30 | 1996-03-29 | CAN | No | 194 Lbs | 6 ft0 | No | No | N/A | Yes | No | 1 | False | False | Pro & Farm | 850,000$ | 485,714$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Dustin Tokarski | Chicago Wolves (CAR) | G | 36 | 1989-09-16 | CAN | No | 205 Lbs | 6 ft0 | No | No | Free Agent | Yes | No | 3 | 2025-10-01 | False | False | Pro & Farm | 900,000$ | 514,286$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Hunter Skinner | Chicago Wolves (CAR) | D | 25 | 2001-04-29 | USA | Yes | 183 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2025-09-09 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Hunter St-Martin | Chicago Wolves (CAR) | LW | 20 | 2005-06-13 | CAN | Yes | 174 Lbs | 6 ft1 | No | No | Prospect | No | No | 3 | 2026-01-29 | False | False | Pro & Farm | 828,333$ | 473,333$ | 0$ | 0$ | No | 828,333$ | 828,333$ | - | - | - | - | - | - | - | 828,333$ | 828,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jackson Edward | Chicago Wolves (CAR) | D | 22 | 2004-02-27 | CAN | Yes | 200 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2025-11-21 | False | False | Pro & Farm | 831,667$ | 475,238$ | 0$ | 0$ | No | 831,667$ | - | - | - | - | - | - | - | - | 831,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jakub Dvorak | Chicago Wolves (CAR) | D | 20 | 2005-05-25 | CZE | Yes | 203 Lbs | 6 ft5 | No | No | Prospect | No | No | 3 | 2025-11-22 | False | False | Pro & Farm | 840,000$ | 480,000$ | 0$ | 0$ | No | 840,000$ | 840,000$ | - | - | - | - | - | - | - | 840,000$ | 840,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jet Woo | Chicago Wolves (CAR) | D | 25 | 2000-07-27 | CAN | Yes | 205 Lbs | 6 ft0 | No | No | N/A | Yes | No | 1 | False | False | Pro & Farm | 860,833$ | 491,905$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| John Farinacci | Chicago Wolves (CAR) | C | 25 | 2001-02-14 | USA | Yes | 184 Lbs | 6 ft0 | No | No | Prospect | No | No | 1 | 2025-11-22 | False | False | Pro & Farm | 775,000$ | 442,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Josh Lopina | Chicago Wolves (CAR) | C | 25 | 2001-02-16 | USA | Yes | 208 Lbs | 6 ft2 | No | No | Prospect | No | No | 1 | 2026-01-30 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Maksymilian Szuber | Chicago Wolves (CAR) | D | 23 | 2002-08-25 | POL | Yes | 215 Lbs | 6 ft3 | No | No | Prospect | No | No | 1 | 2025-11-22 | False | False | Pro & Farm | 859,167$ | 490,953$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Michael Benning | Chicago Wolves (CAR) | D | 24 | 2002-01-05 | CAN | Yes | 181 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 916,667$ | 523,810$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Miko Matikka | Chicago Wolves (CAR) | RW | 22 | 2003-10-26 | FIN | Yes | 187 Lbs | 6 ft3 | No | No | Prospect | No | No | 1 | 2025-11-22 | False | False | Pro & Farm | 870,000$ | 497,143$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Nick Lardis | Chicago Wolves (CAR) | LW | 20 | 2005-07-08 | CAN | Yes | 165 Lbs | 5 ft11 | No | No | Prospect | No | No | 3 | 2026-01-30 | False | False | Pro & Farm | 865,000$ | 494,286$ | 0$ | 0$ | No | 865,000$ | 865,000$ | - | - | - | - | - | - | - | 865,000$ | 865,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Niklas Kokko | Chicago Wolves (CAR) | G | 22 | 2004-03-13 | FIN | Yes | 184 Lbs | 6 ft3 | No | No | Prospect | No | No | 2 | 2025-11-22 | False | False | Pro & Farm | 891,667$ | 509,524$ | 0$ | 0$ | No | 891,667$ | - | - | - | - | - | - | - | - | 891,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Spencer Smallman | Chicago Wolves (CAR) | RW | 29 | 1996-09-16 | CAN | No | 196 Lbs | 6 ft1 | No | No | N/A | Yes | No | 1 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Thomas Bordeleau | Chicago Wolves (CAR) | C/LW/RW | 24 | 2002-01-03 | USA | Yes | 174 Lbs | 5 ft10 | No | No | N/A | Yes | No | 2 | 2025-09-09 | False | False | Pro & Farm | 875,000$ | 500,000$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Topias Vilen | Chicago Wolves (CAR) | D | 23 | 2003-04-01 | FIN | Yes | 194 Lbs | 6 ft1 | No | No | Prospect | No | No | 1 | 2025-11-22 | False | False | Pro & Farm | 836,667$ | 478,095$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Tyler Thorpe | Chicago Wolves (CAR) | RW | 20 | 2005-08-11 | CAN | Yes | 210 Lbs | 6 ft5 | No | No | Prospect | No | No | 3 | 2026-01-30 | False | False | Pro & Farm | 868,333$ | 496,190$ | 0$ | 0$ | No | 868,333$ | 868,333$ | - | - | - | - | - | - | - | 868,333$ | 868,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Tyson Jugnauth | Chicago Wolves (CAR) | D | 22 | 2004-04-17 | CAN | Yes | 183 Lbs | 5 ft11 | No | No | Prospect | No | No | 3 | 2026-01-31 | False | False | Pro & Farm | 950,000$ | 542,857$ | 0$ | 0$ | No | 950,000$ | 950,000$ | - | - | - | - | - | - | - | 950,000$ | 950,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Tyson Kozak | Chicago Wolves (CAR) | C/LW/RW | 23 | 2002-12-29 | CAN | Yes | 179 Lbs | 5 ft11 | No | No | Trade | 2025-09-26 | No | No | 2 | 2025-06-03 | False | False | Pro & Farm | 850,000$ | 485,714$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Vsevolod Komarov | Chicago Wolves (CAR) | D | 22 | 2004-01-11 | RUS | Yes | 211 Lbs | 6 ft4 | No | No | Prospect | No | No | 2 | 2025-11-22 | False | False | Pro & Farm | 835,000$ | 477,143$ | 0$ | 0$ | No | 835,000$ | - | - | - | - | - | - | - | - | 835,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 25 | 23.80 | 191 Lbs | 6 ft1 | 1.92 | 842,033$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 32 | 1 | 2 | 2 | |||
| 2 | Clark Bishop | Spencer Smallman | 30 | 1 | 2 | 2 | |
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 13 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jet Woo | 32 | 1 | 2 | 2 | ||
| 2 | Chase Priskie | 30 | 1 | 2 | 2 | ||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | Jet Woo | 13 | 1 | 2 | 2 | ||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | Clark Bishop | Spencer Smallman | 49 | 1 | 2 | 2 | |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Jet Woo | 51 | 1 | 2 | 2 | ||
| 2 | Chase Priskie | 49 | 1 | 2 | 2 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Clark Bishop | 49 | 1 | 2 | 2 | |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jet Woo | 51 | 1 | 2 | 2 | |
| 2 | Chase Priskie | 49 | 1 | 2 | 2 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | Jet Woo | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | Chase Priskie | 49 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | Clark Bishop | 49 | 1 | 2 | 2 | |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Jet Woo | 51 | 1 | 2 | 2 | |
| 2 | Chase Priskie | 49 | 1 | 2 | 2 | |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Jet Woo | ||||
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Jet Woo | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Spencer Smallman, Clark Bishop, | Spencer Smallman, Clark Bishop | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Chase Priskie | , Chase Priskie | |
| Tirs de pénalité |
|---|
| , , , Clark Bishop, Spencer Smallman |
| Gardien |
|---|
| #1 : , #2 : |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , , Clark Bishop, Spencer Smallman, , , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| , Jet Woo, Chase Priskie, , |
| 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 |
| Total | 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 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 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 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | |
| 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 |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 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 |
|---|---|---|---|---|---|---|
| 0 | 0 | 0% | 0 | 0 | 0% | 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 |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
| 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
| 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 |
| 0 | 0 | 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 |
| Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
|---|
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0% | 0% |
| Assistance PCT | 0% | 0% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 36 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 2,105,084$ | 2,105,084$ | 500,000$0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 8 | 0$ | 0$ |
| # | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Clark Bishop | 72 | 4 | 7 | 11 | -11 | 20 | 41 | 34 | 31 | 12.90% | 18 | 1032 | 14.34 | 1 | 2 | 3 | 4 | 0 | 0 | 0 | 1 | 2 | 0 | 49.43% | 0 | 0.21 | 0 | 5 |
| 2 | Chase Priskie | 72 | 4 | 7 | 11 | -18 | 12 | 62 | 47 | 33 | 12.12% | 42 | 1566 | 21.76 | 0 | 2 | 2 | 10 | 0 | 1 | 1 | 2 | 2 | 0 | 0% | 0 | 0.14 | 1 | 2 |
| 3 | Jet Woo | 72 | 0 | 9 | 9 | -13 | 36 | 75 | 56 | 35 | 0% | 39 | 1661 | 23.07 | 0 | 1 | 1 | 8 | 0 | 1 | 1 | 0 | 0 | 0 | 0% | 0 | 0.11 | 2 | 5 |
| 4 | Spencer Smallman | 72 | 0 | 2 | 2 | -9 | 22 | 31 | 13 | 8 | 0% | 6 | 681 | 9.47 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 42.11% | 0 | 0.06 | 1 | 3 |
| 5 | Michael Benning | 18 | 0 | 0 | 0 | -2 | 16 | 3 | 2 | 5 | 0% | 4 | 232 | 12.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 |
| # | 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 |
| Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 7 | 72 | 21 | 34 | 0 | 9 | 3 | 4 | 1 | 96 | 106 | -10 | 36 | 12 | 13 | 0 | 6 | 2 | 2 | 1 | 52 | 47 | 5 | 36 | 9 | 21 | 0 | 3 | 1 | 2 | 0 | 44 | 59 | -15 | 72 | 96 | 175 | 271 | 0 | 14 | 16 | 31 | 36 | 17 | 720 | 138 | 220 | 327 | 54 | 909 | 296 | 4116 | 951 | 344 | 20 | 5.81% | 346 | 18 | 94.80% | 2 | 419 | 811 | 51.66% | 475 | 901 | 52.72% | 336 | 673 | 49.93% | 1879 | 1470 | 1822 | 397 | 673 | 333 |
| Total Saison régulière | 72 | 21 | 34 | 0 | 9 | 3 | 4 | 1 | 96 | 106 | -10 | 36 | 12 | 13 | 0 | 6 | 2 | 2 | 1 | 52 | 47 | 5 | 36 | 9 | 21 | 0 | 3 | 1 | 2 | 0 | 44 | 59 | -15 | 72 | 96 | 175 | 271 | 0 | 14 | 16 | 31 | 36 | 17 | 720 | 138 | 220 | 327 | 54 | 909 | 296 | 4116 | 951 | 344 | 20 | 5.81% | 346 | 18 | 94.80% | 2 | 419 | 811 | 51.66% | 475 | 901 | 52.72% | 336 | 673 | 49.93% | 1879 | 1470 | 1822 | 397 | 673 | 333 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| Total Séries éliminatoires | 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 | 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 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
| # | 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 |
|---|
Abbotsford Canucks
Belleville Senators
Bridgeport Islanders
Charlotte Checkers
Hartford Wolf Pack
Hershey Bears
Laval Rockets
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Syracuse Crunch
Toronto Marlies
Utica Comets
W-B/Scranton Penguins
Bakersfield Condors
Calgary Wranglers
Cleveland Monsters
Colorado Eagles
Firebirds
Grand Rapids Griffins
Henderson Silver Knights
Iowa Wild
Manitoba Moose
Milwaukee Admirals
Ontario Reign
Rockford IceHogs
San Diego Gulls
San Jose Barracuda
Springfield Thunderbirds
Texas Stars
Tucson Roadrunners
