 | Chicago Wolves |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Christopher Dorion | Morale : 40 | Moyenne d’équipe : 63 |
|
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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 | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ben Kindel (R) | X | 100.00 | 59 | 34 | 93 | 74 | 69 | 86 | 89 | 68 | 75 | 65 | 67 | 64 | 70 | 58 | 61 | 87 | 40 | 66 | 0 | 18 | 3 | 1,475,000$ | |||||
| 2 | Victor Eklund (R) | X | 100.00 | 67 | 35 | 94 | 72 | 66 | 85 | 62 | 71 | 75 | 70 | 63 | 65 | 73 | 60 | 62 | 86 | 40 | 66 | 0 | 19 | 4 | 1,474,167$ | |||||
| 3 | Adam Edstrom (A) | X | 100.00 | 77 | 53 | 90 | 67 | 99 | 74 | 76 | 63 | 55 | 60 | 61 | 64 | 62 | 65 | 68 | 47 | 40 | 65 | 0 | 24 | 2 | 975,000$ | |||||
| 4 | Bradly Nadeau | X | 100.00 | 65 | 37 | 85 | 66 | 68 | 86 | 84 | 65 | 62 | 63 | 68 | 61 | 66 | 62 | 63 | 78 | 40 | 65 | 0 | 20 | 2 | 918,333$ | |||||
| 5 | Denver Barkey | X | 100.00 | 63 | 38 | 83 | 69 | 65 | 82 | 86 | 67 | 62 | 66 | 60 | 63 | 65 | 62 | 61 | 64 | 40 | 64 | 0 | 20 | 3 | 918,333$ | |||||
| 6 | Matt Rempe | X | 100.00 | 89 | 87 | 68 | 66 | 99 | 74 | 76 | 63 | 56 | 55 | 57 | 62 | 58 | 64 | 66 | 48 | 40 | 64 | 0 | 23 | 2 | 975,000$ | |||||
| 7 | Ryan Suzuki | X | 100.00 | 67 | 38 | 87 | 63 | 76 | 78 | 86 | 62 | 70 | 64 | 56 | 61 | 63 | 65 | 67 | 77 | 40 | 63 | 0 | 24 | 1 | 775,000$ | |||||
| 8 | Curtis Douglas | X | 100.00 | 85 | 81 | 55 | 59 | 99 | 71 | 81 | 58 | 57 | 56 | 54 | 60 | 53 | 66 | 68 | 58 | 40 | 62 | 0 | 25 | 1 | 775,000$ | |||||
| 9 | Ivan Ivan | X | 100.00 | 62 | 38 | 84 | 63 | 72 | 77 | 89 | 59 | 61 | 58 | 57 | 60 | 56 | 64 | 66 | 43 | 40 | 62 | 0 | 23 | 1 | 845,000$ | |||||
| 10 | Luke Tuch | X | 100.00 | 76 | 43 | 70 | 59 | 85 | 74 | 81 | 57 | 52 | 54 | 56 | 58 | 57 | 64 | 66 | 70 | 40 | 61 | 0 | 23 | 1 | 925,000$ | |||||
| 11 | Taylor Makar | X | 100.00 | 71 | 40 | 73 | 58 | 81 | 75 | 84 | 56 | 54 | 53 | 57 | 55 | 59 | 65 | 67 | 47 | 40 | 60 | 0 | 24 | 1 | 925,000$ | |||||
| 12 | Connor Clattenburg | X | 100.00 | 77 | 46 | 50 | 58 | 83 | 68 | 73 | 56 | 61 | 52 | 57 | 55 | 58 | 61 | 63 | 49 | 40 | 59 | 0 | 20 | 3 | 828,333$ | |||||
| 13 | Cole Hutson | X | 100.00 | 65 | 33 | 82 | 76 | 67 | 88 | 64 | 73 | 30 | 74 | 70 | 66 | 55 | 59 | 60 | 76 | 40 | 68 | 0 | 19 | 3 | 2,229,167$ | |||||
| 14 | Jeff Petry (C) | X | 100.00 | 70 | 37 | 89 | 68 | 85 | 87 | 81 | 65 | 30 | 70 | 52 | 66 | 49 | 90 | 80 | 29 | 40 | 67 | 0 | 37 | 1 | 1,025,000$ | |||||
| 15 | Josh Brown (A) | X | 100.00 | 83 | 75 | 61 | 62 | 93 | 77 | 80 | 59 | 30 | 64 | 52 | 72 | 47 | 73 | 74 | 30 | 40 | 64 | 0 | 31 | 2 | 1,000,000$ | |||||
| 16 | Scott Morrow | X | 100.00 | 69 | 43 | 72 | 66 | 82 | 85 | 84 | 65 | 30 | 68 | 57 | 61 | 53 | 64 | 66 | 73 | 40 | 64 | 0 | 22 | 1 | 1,158,333$ | |||||
| 17 | Ryan Chesley | X | 100.00 | 64 | 37 | 92 | 60 | 73 | 67 | 84 | 59 | 30 | 61 | 57 | 58 | 49 | 62 | 64 | 76 | 40 | 62 | 0 | 21 | 1 | 950,000$ | |||||
| 18 | Loke Johansson | X | 100.00 | 77 | 40 | 85 | 51 | 86 | 63 | 64 | 52 | 30 | 50 | 50 | 56 | 45 | 61 | 63 | 49 | 40 | 58 | 0 | 19 | 1 | 775,000$ | |||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | Zac Funk | X | 100.00 | 67 | 41 | 73 | 56 | 76 | 79 | 63 | 54 | 58 | 55 | 53 | 57 | 52 | 63 | 65 | 44 | 40 | 59 | 0 | 22 | 2 | 1,033,333$ | |||||
| 2 | Otto Salin | X | 100.00 | 61 | 37 | 85 | 55 | 70 | 64 | 76 | 54 | 30 | 56 | 52 | 53 | 45 | 62 | 64 | 55 | 40 | 58 | 0 | 21 | 3 | 883,333$ | |||||
| MOYENNE D’ÉQUIPE | 100.00 | 71 | 46 | 79 | 63 | 80 | 77 | 78 | 61 | 50 | 61 | 58 | 61 | 57 | 65 | 66 | 59 | 40 | 63 | |||||||||||
| 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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jakub Skarek | 100.00 | 74 | 79 | 75 | 89 | 73 | 72 | 74 | 73 | 72 | 74 | 73 | 68 | 77 | 56 | 40 | 66 | 0 | 25 | 1 | 775,000$ | ||
| 2 | Trey Augustine | 100.00 | 61 | 71 | 68 | 74 | 60 | 59 | 61 | 60 | 59 | 61 | 60 | 61 | 65 | 74 | 40 | 59 | 0 | 20 | 4 | 1,908,333$ | ||
| Rayé | ||||||||||||||||||||||||
| 1 | Topias Leinonen | 100.00 | 62 | 74 | 70 | 98 | 61 | 60 | 62 | 61 | 60 | 62 | 61 | 62 | 67 | 74 | 40 | 59 | 0 | 21 | 3 | 950,000$ | ||
| MOYENNE D’ÉQUIPE | 100.00 | 66 | 75 | 71 | 87 | 65 | 64 | 66 | 65 | 64 | 66 | 65 | 64 | 70 | 68 | 40 | 61 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|
| 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 | 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 Edstrom | Chicago Wolves (CAR) | C | 24 | 2000-10-12 | SWE | No | 232 Lbs | 6 ft7 | No | No | Assign Manually | No | No | 2 | 2026-07-03 | False | False | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | - | - | - | - | - | - | - | - | 975,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ben Kindel | Chicago Wolves (CAR) | C | 18 | 2007-04-19 | CAN | Yes | 182 Lbs | 5 ft11 | No | No | Draft | No | No | 3 | 2026-07-28 | False | False | Pro & Farm | 1,475,000$ | 0$ | 0$ | No | 1,486,250$ | 1,486,250$ | - | - | - | - | - | - | - | 1,486,250$ | 1,486,250$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Bradly Nadeau | Chicago Wolves (CAR) | LW | 20 | 2005-05-05 | CAN | No | 180 Lbs | 5 ft11 | No | No | Trade | 2026-01-01 | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 918,333$ | 0$ | 0$ | No | 918,333$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Cole Hutson | Chicago Wolves (CAR) | D | 19 | 2006-06-28 | USA | No | 175 Lbs | 5 ft11 | No | No | Draft | No | No | 3 | 2026-07-03 | False | False | Pro & Farm | 2,229,167$ | 0$ | 0$ | No | 2,240,417$ | 2,240,417$ | - | - | - | - | - | - | - | 2,240,417$ | 2,240,417$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Connor Clattenburg | Chicago Wolves (CAR) | C | 20 | 2005-05-02 | CAN | No | 215 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 3 | 2026-07-03 | False | False | Pro & Farm | 828,333$ | 0$ | 0$ | No | 828,333$ | 828,333$ | - | - | - | - | - | - | - | 828,333$ | 828,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Curtis Douglas | Chicago Wolves (CAR) | C | 25 | 2000-03-06 | CAN | No | 242 Lbs | 6 ft9 | No | No | Trade | 2025-01-26 | No | No | 1 | 2025-07-16 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Denver Barkey | Chicago Wolves (CAR) | C | 20 | 2005-04-27 | CAN | No | 171 Lbs | 5 ft10 | No | No | Assign Manually | No | No | 3 | 2026-07-03 | False | False | Pro & Farm | 918,333$ | 0$ | 0$ | No | 918,333$ | 918,333$ | - | - | - | - | - | - | - | 918,333$ | 918,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ivan Ivan | Chicago Wolves (CAR) | C | 23 | 2002-08-20 | CZE | No | 190 Lbs | 6 ft0 | No | No | Trade | 2025-01-04 | No | No | 1 | 2024-09-22 | False | False | Pro & Farm | 845,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Jakub Skarek | Chicago Wolves (CAR) | G | 25 | 1999-11-10 | CZE | No | 211 Lbs | 6 ft4 | No | No | Assign Manually | No | No | 1 | 2026-07-03 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Jeff Petry | Chicago Wolves (CAR) | D | 37 | 1987-12-09 | USA | No | 208 Lbs | 6 ft3 | No | No | Trade | 2026-07-19 | No | No | 1 | 2026-07-03 | False | False | Pro & Farm | 1,025,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Josh Brown | Chicago Wolves (CAR) | D | 31 | 1994-01-21 | CAN | No | 220 Lbs | 6 ft5 | No | No | Trade | 2025-10-29 | No | No | 2 | 2025-06-28 | False | False | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Loke Johansson | Chicago Wolves (CAR) | D | 19 | 2005-12-14 | SWE | No | 213 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2026-07-03 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Luke Tuch | Chicago Wolves (CAR) | LW | 23 | 2002-03-07 | USA | No | 209 Lbs | 6 ft3 | No | No | Trade | 2025-10-30 | No | No | 1 | 2025-07-16 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Matt Rempe | Chicago Wolves (CAR) | C | 23 | 2002-06-29 | CAN | No | 261 Lbs | 6 ft9 | No | No | Assign Manually | No | No | 2 | 2026-07-03 | False | False | Pro & Farm | 975,000$ | 0$ | 0$ | No | 975,000$ | - | - | - | - | - | - | - | - | 975,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Otto Salin | Chicago Wolves (CAR) | D | 21 | 2004-03-07 | FIN | No | 187 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 3 | 2026-07-03 | False | False | Pro & Farm | 883,333$ | 0$ | 0$ | No | 883,333$ | 883,333$ | - | - | - | - | - | - | - | 883,333$ | 883,333$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ryan Chesley | Chicago Wolves (CAR) | D | 21 | 2004-02-27 | USA | No | 195 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 1 | 2026-07-03 | False | False | Pro & Farm | 950,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ryan Suzuki | Chicago Wolves (CAR) | C | 24 | 2001-05-28 | CAN | No | 196 Lbs | 6 ft1 | No | No | Assign Manually | 2025-01-24 | No | No | 1 | 2026-07-03 | False | False | Pro & Farm | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Scott Morrow | Chicago Wolves (CAR) | D | 22 | 2002-11-01 | USA | No | 210 Lbs | 6 ft2 | No | No | Assign Manually | No | No | 1 | 2025-07-16 | False | False | Pro & Farm | 1,158,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Taylor Makar | Chicago Wolves (CAR) | LW | 24 | 2001-03-13 | CAN | No | 190 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 1 | 2026-07-03 | False | False | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Topias Leinonen | Chicago Wolves (CAR) | G | 21 | 2004-01-25 | FIN | No | 234 Lbs | 6 ft6 | No | No | Prospect | No | No | 3 | 2026-08-03 | False | False | Pro & Farm | 950,000$ | 0$ | 0$ | No | 1,025,000$ | 1,025,000$ | - | - | - | - | - | - | - | 1,025,000$ | 1,025,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Trey Augustine | Chicago Wolves (CAR) | G | 20 | 2005-02-23 | USA | No | 183 Lbs | 6 ft1 | No | No | Draft | No | No | 4 | 2026-08-03 | False | False | Pro & Farm | 1,908,333$ | 0$ | 0$ | No | 1,908,333$ | 1,908,333$ | 1,908,333$ | - | - | - | - | - | - | 1,908,333$ | 1,908,333$ | 1,908,333$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
| Victor Eklund | Chicago Wolves (CAR) | RW | 19 | 2006-10-03 | SWE | Yes | 161 Lbs | 5 ft11 | No | No | Draft | No | No | 4 | 2026-07-28 | False | False | Pro & Farm | 1,474,167$ | 0$ | 0$ | No | 1,474,167$ | 1,474,167$ | 1,474,167$ | - | - | - | - | - | - | 1,474,167$ | 1,474,167$ | 1,474,167$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien / Lien NHL | |
| Zac Funk | Chicago Wolves (CAR) | LW | 22 | 2003-07-20 | CAN | No | 210 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 2 | 2025-07-16 | False | False | Pro & Farm | 1,033,333$ | 0$ | 0$ | No | 1,033,333$ | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 23 | 22.65 | 203 Lbs | 6 ft2 | 2.00 | 1,065,072$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Bradly Nadeau | Ben Kindel | Victor Eklund | 40 | 1 | 2 | 2 |
| 2 | Denver Barkey | Adam Edstrom | Matt Rempe | 30 | 1 | 2 | 2 |
| 3 | Connor Clattenburg | Ryan Suzuki | Curtis Douglas | 20 | 2 | 1 | 2 |
| 4 | Luke Tuch | Ivan Ivan | Taylor Makar | 10 | 1 | 2 | 2 |
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Cole Hutson | Jeff Petry | 40 | 1 | 2 | 2 | |
| 2 | Josh Brown | Loke Johansson | 30 | 1 | 2 | 2 | |
| 3 | Ryan Chesley | Scott Morrow | 20 | 1 | 2 | 2 | |
| 4 | Cole Hutson | Jeff Petry | 10 | 1 | 2 | 2 | |
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | Bradly Nadeau | Ben Kindel | Victor Eklund | 60 | 1 | 2 | 2 |
| 2 | Luke Tuch | Adam Edstrom | Denver Barkey | 40 | 1 | 2 | 2 |
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Cole Hutson | Jeff Petry | 60 | 1 | 2 | 2 | |
| 2 | Josh Brown | Scott Morrow | 40 | 1 | 2 | 2 | |
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ben Kindel | Bradly Nadeau | 60 | 1 | 2 | 2 |
| 2 | Adam Edstrom | Luke Tuch | 40 | 1 | 2 | 2 |
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Cole Hutson | Jeff Petry | 60 | 1 | 2 | 2 |
| 2 | Josh Brown | Scott Morrow | 40 | 1 | 2 | 2 |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Ben Kindel | 60 | 1 | 2 | 2 | Cole Hutson | Jeff Petry | 60 | 1 | 2 | 2 |
| 2 | Adam Edstrom | 40 | 1 | 2 | 2 | Josh Brown | Scott Morrow | 40 | 1 | 2 | 2 |
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | Ben Kindel | Bradly Nadeau | 60 | 1 | 2 | 2 |
| 2 | Adam Edstrom | Luke Tuch | 40 | 1 | 2 | 2 |
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | Cole Hutson | Jeff Petry | 60 | 1 | 2 | 2 |
| 2 | Josh Brown | Scott Morrow | 40 | 1 | 2 | 2 |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Bradly Nadeau | Ben Kindel | Victor Eklund | Cole Hutson | Jeff Petry |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Luke Tuch | Adam Edstrom | Denver Barkey | Josh Brown | Scott Morrow |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Denver Barkey, Matt Rempe, Ryan Suzuki | Denver Barkey, Matt Rempe | Denver Barkey |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| Scott Morrow, Ryan Chesley, Loke Johansson | Scott Morrow | Scott Morrow, Ryan Chesley |
| Tirs de pénalité |
|---|
| Victor Eklund, Ben Kindel, Bradly Nadeau, Adam Edstrom, Denver Barkey |
| Gardien |
|---|
| #1 : Trey Augustine, #2 : Jakub Skarek |
| 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 | RI |
| 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 de l’aréna | Popularité de l’équipe |
| 9 | 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$ | 12,248,330$ | 12,248,330$ | 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$ | 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 |
|---|
| 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 |
|---|
Belleville Senators
Bridgeport Islanders
Charlotte Checkers
Cleveland Monsters
Hartford Wolf Pack
Hershey Bears
Laval Rocket
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Springfield Thunderbirds
Syracuse Crunch
Toronto Marlies
Utica Comets
Wilkes-Barre Scranton Penguins
Abbotsford Canucks
Bakersfield Condors
Calgary Wranglers
Coachella Firebirds
Colorado Eagles
Grand Rapids Griffins
Henderson Silver Knights
Iowa Wild
Manitoba Moose
Milwaukee Admirals
Ontario Reign
Rockford IceHogs
San Diego Gulls
San Jose Barracuda
Texas Stars
Tucson Roadrunners
