 | Chiwawa |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Jean-Nicholas Drouin | Morale : 90 | Moyenne d’équipe : 56 |
|
| ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 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 | Liam Ohgren (R) | X | 100.00 | 68 | 45 | 94 | 81 | 57 | 66 | 83 | 56 | 30 | 52 | 60 | 62 | 82 | 82 | 72 | 0 | 90 | 61 | 0 | 22 | 1 | 886,666$ | |||||
| 2 | Andre Lee (R) | X | 100.00 | 65 | 45 | 95 | 75 | 77 | 51 | 40 | 49 | 30 | 44 | 54 | 58 | 50 | 85 | 72 | 0 | 90 | 56 | 0 | 26 | 3 | 800,000$ | |||||
| 3 | Ville Koivunen (R) | X | 100.00 | 50 | 45 | 88 | 80 | 56 | 64 | 47 | 52 | 30 | 51 | 54 | 57 | 68 | 82 | 72 | 0 | 90 | 56 | 0 | 23 | 3 | 1,200,000$ | |||||
| 4 | Matt Luff | X | 100.00 | 54 | 45 | 95 | 73 | 79 | 50 | 40 | 47 | 30 | 40 | 54 | 60 | 50 | 88 | 75 | 0 | 90 | 55 | 0 | 29 | 2 | 800,000$ | |||||
| 5 | Lane Pederson (C) | X | 100.00 | 64 | 45 | 95 | 76 | 64 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 53 | 0 | 29 | 3 | 800,000$ | |||||
| 6 | Matthew Poitras | X | 100.00 | 50 | 45 | 90 | 77 | 58 | 61 | 40 | 47 | 30 | 40 | 54 | 55 | 50 | 82 | 71 | 0 | 90 | 53 | 0 | 22 | 2 | 1,000,000$ | |||||
| 7 | Ivan Ivan (R) | X | 100.00 | 50 | 45 | 92 | 77 | 59 | 50 | 40 | 47 | 30 | 44 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 53 | 0 | 24 | 3 | 850,000$ | |||||
| 8 | Logan Couture | X | 100.00 | 50 | 45 | 80 | 81 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 80 | 76 | 0 | 90 | 52 | 0 | 37 | 2 | 5,000,000$ | |||||
| 9 | William Lockwood | X | 100.00 | 50 | 45 | 78 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 52 | 0 | 28 | 3 | 800,000$ | |||||
| 10 | Adam Beckman (R) (A) | X | 100.00 | 50 | 45 | 79 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 82 | 69 | 0 | 90 | 52 | 0 | 25 | 2 | 775,000$ | |||||
| 11 | Jacob Bryson (A) | X | 100.00 | 52 | 45 | 90 | 82 | 42 | 50 | 60 | 52 | 30 | 50 | 55 | 58 | 66 | 88 | 76 | 0 | 90 | 59 | 0 | 28 | 2 | 900,000$ | |||||
| 12 | Michael Callahan (R) | X | 100.00 | 50 | 45 | 95 | 76 | 61 | 54 | 40 | 45 | 30 | 40 | 50 | 66 | 50 | 86 | 74 | 0 | 90 | 58 | 0 | 27 | 2 | 800,000$ | |||||
| 13 | Jack Ahcan | X | 100.00 | 52 | 45 | 92 | 79 | 41 | 50 | 40 | 49 | 30 | 48 | 50 | 55 | 50 | 88 | 76 | 0 | 90 | 56 | 0 | 29 | 1 | 800,000$ | |||||
| 14 | Kyle Burroughs | X | 100.00 | 50 | 45 | 63 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 89 | 76 | 0 | 90 | 56 | 0 | 31 | 1 | 1,000,000$ | |||||
| 15 | Zac Jones | X | 100.00 | 50 | 45 | 81 | 82 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 75 | 0 | 90 | 56 | 0 | 25 | 1 | 900,000$ | |||||
| 16 | Cal Foote | X | 100.00 | 50 | 45 | 73 | 72 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 74 | 0 | 90 | 55 | 0 | 27 | 2 | 775,000$ | |||||
| Rayé | ||||||||||||||||||||||||||||||
| 1 | John Leonard | X | 100.00 | 59 | 45 | 95 | 80 | 58 | 58 | 40 | 53 | 30 | 48 | 58 | 58 | 66 | 87 | 76 | 0 | 90 | 57 | 0 | 28 | 3 | 800,000$ | |||||
| 2 | Joachim Blichfeld (R) | X | 100.00 | 50 | 45 | 90 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 52 | 0 | 28 | 0 | 0$ | |||||
| 3 | Trey Fix-Wolansky | X | 100.00 | 50 | 45 | 92 | 79 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 72 | 0 | 90 | 52 | 0 | 27 | 2 | 775,000$ | |||||
| MOYENNE D’ÉQUIPE | 100.00 | 53 | 45 | 87 | 78 | 60 | 53 | 44 | 47 | 30 | 43 | 52 | 57 | 54 | 85 | 73 | 0 | 90 | 55 | |||||||||||
| 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 | Hunter Shepard | 100.00 | 70 | 50 | 60 | 90 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 90 | 77 | 0 | 90 | 62 | 0 | 30 | 1 | 775,000$ | ||
| 2 | Niklas Kokko (R) | 100.00 | 70 | 50 | 63 | 84 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 81 | 69 | 0 | 90 | 61 | 0 | 22 | 3 | 900,000$ | ||
| Rayé | ||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 50 | 62 | 87 | 70 | 70 | 70 | 70 | 70 | 70 | 70 | 86 | 73 | 0 | 90 | 62 | |||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Bob Hartley | 65 | 65 | 65 | 65 | 97 | 72 | 46 | CAN | 66 | 4 | 1,000,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Adam Beckman | Chiwawa (CLE) | LW | 25 | 2001-05-10 | CAN | Yes | 182 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Andre Lee | Chiwawa (CLE) | LW | 26 | 2000-07-26 | SWE | Yes | 206 Lbs | 6 ft5 | No | No | Prospect | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Cal Foote | Chiwawa (CLE) | D | 27 | 1998-12-13 | CAN | No | 224 Lbs | 6 ft5 | No | No | N/A | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
| Hunter Shepard | Chiwawa (CLE) | G | 30 | 1995-11-07 | USA | No | 215 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Ivan Ivan | Chiwawa (CLE) | C | 24 | 2002-08-20 | RUS | Yes | 190 Lbs | 6 ft0 | No | No | Draft | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | 850,000$ | 850,000$ | - | - | - | - | - | - | - | 850,000$ | 850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Jack Ahcan | Chiwawa (CLE) | D | 29 | 1997-05-18 | USA | No | 180 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Jacob Bryson | Chiwawa (CLE) | D | 28 | 1997-11-18 | CAN | No | 174 Lbs | 5 ft9 | No | No | N/A | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Joachim Blichfeld | Chiwawa (CLE) | RW | 28 | 1998-07-17 | DEN | Yes | 180 Lbs | 6 ft2 | No | No | N/A | No | No | 0 | 2026-08-30 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
| John Leonard | Chiwawa (CLE) | LW | 28 | 1998-08-07 | USA | No | 196 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Kyle Burroughs | Chiwawa (CLE) | D | 31 | 1995-07-12 | CAN | No | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Lane Pederson | Chiwawa (CLE) | C | 29 | 1997-08-04 | CAN | No | 192 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Liam Ohgren | Chiwawa (CLE) | RW | 22 | 2004-01-28 | SWE | Yes | 187 Lbs | 6 ft0 | No | No | Trade | 2025-09-18 | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 886,666$ | 886,666$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL |
| Logan Couture | Chiwawa (CLE) | C | 37 | 1989-03-28 | CAN | No | 206 Lbs | 6 ft1 | No | No | Trade | 2025-09-23 | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 5,000,000$ | 5,000,000$ | 0$ | 0$ | No | 5,000,000$ | - | - | - | - | - | - | - | - | 5,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |
| Matt Luff | Chiwawa (CLE) | RW | 29 | 1997-05-05 | CAN | No | 196 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Matthew Poitras | Chiwawa (CLE) | C | 22 | 2004-03-10 | CAN | No | 180 Lbs | 5 ft11 | No | No | Trade | 2025-09-18 | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | - | - | - | - | - | - | - | - | 1,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| Michael Callahan | Chiwawa (CLE) | D | 27 | 1999-09-23 | USA | Yes | 199 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | - | - | - | - | - | - | - | - | 800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Niklas Kokko | Chiwawa (CLE) | G | 22 | 2004-03-14 | FIN | Yes | 184 Lbs | 6 ft3 | No | No | Prospect | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | - | - | - | - | - | - | - | 900,000$ | 900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Trey Fix-Wolansky | Chiwawa (CLE) | RW | 27 | 1999-05-26 | CAN | No | 191 Lbs | 5 ft7 | No | No | N/A | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | 775,000$ | - | - | - | - | - | - | - | - | 775,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Ville Koivunen | Chiwawa (CLE) | RW | 23 | 2003-06-13 | FIN | Yes | 161 Lbs | 5 ft11 | No | No | Prospect | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | - | 1,200,000$ | 1,200,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| William Lockwood | Chiwawa (CLE) | RW | 28 | 1998-06-20 | USA | No | 178 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 800,000$ | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | - | - | - | - | - | - | - | 800,000$ | 800,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Zac Jones | Chiwawa (CLE) | D | 25 | 2000-10-18 | USA | No | 176 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 21 | 27.00 | 190 Lbs | 6 ft0 | 2.00 | 1,016,032$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 35 | 1 | 2 | 2 | |||
| 2 | Michael Callahan | 30 | 1 | 2 | 2 | ||
| 3 | Jack Ahcan | 25 | 1 | 2 | 2 | ||
| 4 | 10 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 55 | 1 | 2 | 2 | |||
| 2 | Michael Callahan | 45 | 1 | 2 | 2 | ||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | Michael Callahan | 45 | 1 | 2 | 2 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | 55 | 1 | 2 | 2 | |||
| 2 | 45 | 1 | 2 | 2 | Michael Callahan | 45 | 1 | 2 | 2 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | 45 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 55 | 1 | 2 | 2 | ||
| 2 | Michael Callahan | 45 | 1 | 2 | 2 | |
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Michael Callahan | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , Jack Ahcan | , | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : |
| 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 |
| 41 | 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$ | 2,133,667$ | 2,133,667$ | 1,000,000$0$ |
| 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$ | 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 |
|---|
Bandits
CoolFm
Farmers
Goons
Grizzlies
Hunters
Husky
Igloos
Marlies
Marmots
Rockets
Smirnoff Ice
TigersCats
Warriors
Xpress
Barracudas
Bayou
Outlaws
Predateurs
Raptors
Sags
Scorpions
Snowbirds
Spartans
Supreme
Thugs
Twins
Vandals
Vipers
Wolves
