PACIFIC
CENTRAL
METROPOLITAN
ATLANTIC
 | Wilkes-Barre/Scranton Penguins |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Jesper Johansson | Morale : 50 | Moyenne d’équipe : 55 |
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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 | Scott Sabourin | 0 | X | 100.00 | 91 | 84 | 83 | 66 | 70 | 57 | 66 | 62 | 45 | 73 | 63 | 61 | 53 | 64 | 55 | 0 | 50 | 64 | 0 | 33 | 1 | 850,000$ | |||||
| 2 | Tanner Howe | 0 | X | 100.00 | 69 | 59 | 77 | 61 | 53 | 50 | 68 | 64 | 45 | 59 | 60 | 56 | 55 | 42 | 42 | 0 | 50 | 55 | 0 | 20 | 2 | 887,500$ | |||||
| 3 | Mathieu Cataford | 0 | X | X | 100.00 | 64 | 35 | 89 | 55 | 58 | 50 | 84 | 53 | 75 | 57 | 54 | 51 | 45 | 43 | 43 | 0 | 50 | 52 | 0 | 21 | 2 | 851,667$ | ||||
| 4 | Landon Sim | 0 | X | X | 100.00 | 74 | 72 | 71 | 52 | 57 | 50 | 57 | 54 | 70 | 48 | 54 | 53 | 48 | 43 | 43 | 0 | 50 | 51 | 0 | 21 | 2 | 955,000$ | ||||
| 5 | Jake Christiansen | 22 | X | 100.00 | 75 | 39 | 94 | 63 | 70 | 56 | 73 | 60 | 25 | 58 | 53 | 76 | 36 | 52 | 46 | 0 | 43 | 60 | 0 | 26 | 1 | 975,000$ | |||||
| 6 | Dakota Mermis (A) | 36 | X | 100.00 | 72 | 64 | 80 | 56 | 71 | 62 | 68 | 53 | 25 | 53 | 56 | 69 | 45 | 62 | 54 | 0 | 50 | 58 | 0 | 32 | 1 | 975,000$ | |||||
| 7 | Chase Pietila | 0 | X | 100.00 | 70 | 58 | 81 | 56 | 59 | 50 | 87 | 52 | 25 | 53 | 49 | 77 | 45 | 44 | 44 | 0 | 50 | 56 | 0 | 22 | 2 | 910,000$ | |||||
| 8 | Montana Onyebuchi | 79 | X | 100.00 | 76 | 63 | 77 | 55 | 63 | 50 | 76 | 51 | 25 | 53 | 49 | 66 | 44 | 50 | 48 | 0 | 50 | 55 | 0 | 26 | 1 | 775,000$ | |||||
| 9 | Isaac Belliveau | 0 | X | 100.00 | 67 | 57 | 79 | 54 | 56 | 50 | 72 | 51 | 25 | 51 | 48 | 63 | 44 | 45 | 45 | 0 | 50 | 52 | 0 | 23 | 2 | 875,000$ | |||||
| 10 | Daniel Laatsch | 0 | X | 100.00 | 62 | 36 | 95 | 51 | 65 | 50 | 54 | 46 | 23 | 50 | 39 | 65 | 37 | 46 | 46 | 0 | 50 | 51 | 0 | 24 | 1 | 897,500$ | |||||
| Rayé | |||||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 72 | 57 | 83 | 57 | 62 | 53 | 71 | 55 | 38 | 56 | 53 | 64 | 45 | 49 | 47 | 0 | 49 | 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 | Cooper Black | 30 | 100.00 | 59 | 66 | 49 | 87 | 60 | 64 | 61 | 60 | 62 | 65 | 50 | 52 | 46 | 0 | 50 | 57 | 0 | 25 | 2 | 875,000$ | ||
| 2 | Domenic DiVincentiis | 0 | 100.00 | 64 | 62 | 47 | 78 | 60 | 61 | 60 | 56 | 62 | 64 | 50 | 48 | 44 | 0 | 50 | 55 | 0 | 22 | 1 | 830,556$ | ||
| 3 | Callum Tung | 0 | 100.00 | 57 | 53 | 44 | 80 | 48 | 53 | 52 | 47 | 55 | 55 | 50 | 48 | 44 | 0 | 50 | 49 | 0 | 22 | 2 | 975,000$ | ||
| Rayé | |||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 60 | 60 | 47 | 82 | 56 | 59 | 58 | 54 | 60 | 61 | 50 | 49 | 45 | 0 | 50 | 54 | ||||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Paul Coffey | 63 | 69 | 70 | 71 | 76 | 70 | 1 | CAN | 64 | 1 | 1,255,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Callum Tung | Wilkes-Barre/Scranton Penguins (PIT) | G | 22 | 2003-11-23 | CAN | No | 95 Kg | 191 CM | No | No | Assign Manually | No | No | 2 | 2025-08-22 | False | False | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | 975,000$ | - | - | - | - | - | - | - | - | 975,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Chase Pietila | Wilkes-Barre/Scranton Penguins (PIT) | D | 22 | 2004-03-03 | USA | No | 82 Kg | 185 CM | No | No | Draft | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 910,000$ | 910,000$ | 0$ | 0$ | No | 910,000$ | - | - | - | - | - | - | - | - | 910,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Cooper Black | Wilkes-Barre/Scranton Penguins (PIT) | G | 25 | 2001-06-14 | USA | No | 109 Kg | 203 CM | No | No | Assign Manually | Yes | No | 2 | 2026-06-17 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Dakota Mermis | Wilkes-Barre/Scranton Penguins (PIT) | D | 32 | 1994-01-05 | USA | No | 89 Kg | 183 CM | No | No | Assign Manually | No | No | 1 | 2025-08-24 | False | False | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Daniel Laatsch | Wilkes-Barre/Scranton Penguins (PIT) | D | 24 | 2002-02-13 | USA | No | 89 Kg | 196 CM | No | No | Prospect | Yes | No | 1 | 2026-06-07 | False | False | Pro & Farm | 897,500$ | 897,500$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
| Domenic DiVincentiis | Wilkes-Barre/Scranton Penguins (PIT) | G | 22 | 2004-03-04 | CAN | No | 88 Kg | 188 CM | No | No | Prospect | No | No | 1 | 2025-06-09 | False | False | Pro & Farm | 830,556$ | 830,556$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |
| Isaac Belliveau | Wilkes-Barre/Scranton Penguins (PIT) | D | 23 | 2002-11-26 | CAN | No | 74 Kg | 180 CM | No | No | Prospect | No | No | 2 | 2025-07-17 | False | False | Pro & Farm | 875,000$ | 875,000$ | 0$ | 0$ | No | 875,000$ | - | - | - | - | - | - | - | - | 875,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Jake Christiansen (contrat à 1 volet) | Wilkes-Barre/Scranton Penguins (PIT) | D | 26 | 1999-09-12 | CAN | No | 88 Kg | 183 CM | No | No | Trade | 2026-06-10 | Yes | No | 1 | 2025-06-07 | False | False | Pro & Farm | 975,000$ | 975,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Landon Sim | Wilkes-Barre/Scranton Penguins (PIT) | C/RW | 21 | 2004-07-17 | CAN | No | 79 Kg | 180 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 955,000$ | 955,000$ | 0$ | 0$ | No | 955,000$ | - | - | - | - | - | - | - | - | 955,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Mathieu Cataford | Wilkes-Barre/Scranton Penguins (PIT) | C/RW | 21 | 2005-03-01 | CAN | No | 83 Kg | 180 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 851,667$ | 851,667$ | 0$ | 0$ | No | 851,667$ | - | - | - | - | - | - | - | - | 851,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |
| Montana Onyebuchi | Wilkes-Barre/Scranton Penguins (PIT) | D | 26 | 2000-03-08 | CAN | No | 93 Kg | 188 CM | No | No | N/A | No | No | 1 | 2025-07-01 | False | False | Pro & Farm | 775,000$ | 775,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Scott Sabourin (contrat à 1 volet) | Wilkes-Barre/Scranton Penguins (PIT) | RW | 33 | 1992-07-30 | CAN | No | 95 Kg | 191 CM | No | No | Assign Manually | Yes | No | 1 | 2026-06-07 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Tanner Howe | Wilkes-Barre/Scranton Penguins (PIT) | LW | 20 | 2005-11-28 | CAN | No | 77 Kg | 173 CM | No | No | Prospect | No | No | 2 | 2026-06-07 | False | False | Pro & Farm | 887,500$ | 887,500$ | 0$ | 0$ | No | 887,500$ | - | - | - | - | - | - | - | - | 887,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 13 | 24.38 | 88 Kg | 185 CM | 1.54 | 894,786$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 40 | 1 | 3 | 1 | |||
| 2 | 38 | 1 | 3 | 1 | |||
| 3 | 11 | 1 | 3 | 1 | |||
| 4 | 11 | 1 | 3 | 1 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | Montana Onyebuchi | 45 | 1 | 3 | 1 | ||
| 2 | 35 | 1 | 3 | 1 | |||
| 3 | 20 | 1 | 3 | 1 | |||
| 4 | 0 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 1 | 3 | |||
| 2 | 40 | 1 | 1 | 3 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 60 | 1 | 1 | 3 | |||
| 2 | 40 | 1 | 1 | 3 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 4 | 0 | ||
| 2 | 40 | 1 | 4 | 0 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 4 | 0 | ||
| 2 | Montana Onyebuchi | 40 | 1 | 4 | 0 | |
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 0 | 5 | 0 | 60 | 0 | 5 | 0 | |||
| 2 | 40 | 0 | 5 | 0 | Montana Onyebuchi | 40 | 0 | 5 | 0 | ||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Montana Onyebuchi | ||||
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Tirs de pénalité |
|---|
| , , , , |
| Gardien |
|---|
| #1 : , #2 : Domenic DiVincentiis |
| Lignes d’attaque personnalisées en prolongation |
|---|
| , , , , , , , , , |
| Lignes de défense personnalisées en prolongation |
|---|
| , , , , |
| 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 | 5000 | 2500 |
| 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$ | 7500 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 980,723$ | 980,723$ | 1,255,000$0$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | James Hamblin | 360 | 112 | 168 | 280 | 43 | 76 | 330 | 711 | 811 | 13.81% | 92 | 6108 | 16.97 | 23 | 60 | 83 | 133 | 6 | 1 | 7 | 27 | 16 | 4 | 50.86% | 2 | 0.92 | 4 | 14 |
| 2 | Jonathan Gruden | 355 | 70 | 60 | 130 | 33 | 84 | 282 | 332 | 550 | 12.73% | 69 | 4895 | 13.79 | 9 | 12 | 21 | 49 | 3 | 2 | 5 | 11 | 12 | 5 | 47.71% | 0 | 0.53 | 1 | 8 |
| 3 | Mark Friedman | 280 | 26 | 89 | 115 | 5 | 298 | 654 | 333 | 416 | 6.25% | 356 | 6233 | 22.26 | 13 | 29 | 42 | 177 | 0 | 3 | 3 | 9 | 5 | 2 | 0% | 0 | 0.37 | 0 | 0 |
| 4 | Drew O'Connor | 144 | 41 | 68 | 109 | -12 | 32 | 72 | 272 | 425 | 9.65% | 35 | 2673 | 18.57 | 17 | 21 | 38 | 114 | 1 | 1 | 2 | 11 | 9 | 3 | 39.15% | 0 | 0.82 | 1 | 7 |
| 5 | Givani Smith | 144 | 38 | 69 | 107 | 5 | 171 | 324 | 167 | 393 | 9.67% | 50 | 2400 | 16.67 | 16 | 24 | 40 | 60 | 1 | 1 | 2 | 6 | 6 | 4 | 27.33% | 0 | 0.89 | 0 | 1 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Keith Petruzzelli | 110 | 43 | 49 | 12 | 0.899 | 3.20 | 6025 | 2 | 2 | 321 | 3166 | 0 | 1 | 2 | 0.636 | 22 |
| 2 | Alex D'Orio | 61 | 40 | 18 | 3 | 0.916 | 2.25 | 3679 | 12 | 2 | 138 | 1648 | 0 | 3 | 0 | 0.917 | 36 |
| 3 | Jet Greaves | 70 | 37 | 25 | 7 | 0.919 | 2.86 | 4156 | 0 | 0 | 198 | 2443 | 1413 | 2 | 3 | 0.706 | 17 |
| 4 | Devin Cooley | 67 | 22 | 31 | 10 | 0.862 | 3.46 | 3661 | 2 | 0 | 211 | 1531 | 39 | 2 | 1 | 0.412 | 17 |
| 5 | David Hrenak | 40 | 17 | 14 | 3 | 0.898 | 3.10 | 2109 | 0 | 2 | 109 | 1070 | 0 | 1 | 0 | 0 | 0 |
| 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2021 | 72 | 31 | 24 | 0 | 5 | 2 | 6 | 4 | 205 | 180 | 25 | 36 | 14 | 10 | 0 | 3 | 2 | 5 | 2 | 102 | 86 | 16 | 36 | 17 | 14 | 0 | 2 | 0 | 1 | 2 | 103 | 94 | 9 | 90 | 205 | 366 | 571 | 0 | 2 | 85 | 57 | 52 | 12 | 1858 | 674 | 584 | 571 | 71 | 1930 | 579 | 1123 | 1497 | 466 | 65 | 13.95% | 457 | 62 | 86.43% | 3 | 1125 | 2304 | 48.83% | 1187 | 2385 | 49.77% | 509 | 1053 | 48.34% | 1710 | 1147 | 1758 | 580 | 920 | 458 |
| 2022 | 72 | 28 | 36 | 0 | 3 | 4 | 0 | 1 | 212 | 235 | -23 | 36 | 18 | 16 | 0 | 1 | 0 | 0 | 1 | 116 | 111 | 5 | 36 | 10 | 20 | 0 | 2 | 4 | 0 | 0 | 96 | 124 | -28 | 67 | 212 | 376 | 588 | 1 | 2 | 76 | 70 | 63 | 3 | 2020 | 622 | 725 | 658 | 19 | 2244 | 623 | 715 | 1707 | 288 | 44 | 15.28% | 308 | 56 | 81.82% | 4 | 1037 | 2151 | 48.21% | 1079 | 2203 | 48.98% | 568 | 1146 | 49.56% | 1657 | 1103 | 1735 | 557 | 946 | 468 |
| 2023 | 72 | 24 | 32 | 0 | 4 | 5 | 2 | 5 | 210 | 241 | -31 | 36 | 15 | 17 | 0 | 0 | 1 | 0 | 3 | 107 | 117 | -10 | 36 | 9 | 15 | 0 | 4 | 4 | 2 | 2 | 103 | 124 | -21 | 70 | 210 | 374 | 584 | 2 | 2 | 73 | 74 | 57 | 7 | 2137 | 763 | 708 | 631 | 53 | 2316 | 626 | 799 | 1763 | 313 | 61 | 19.49% | 339 | 66 | 80.53% | 1 | 1222 | 2337 | 52.29% | 1229 | 2438 | 50.41% | 570 | 1106 | 51.54% | 1693 | 1135 | 1721 | 562 | 955 | 476 |
| 2024 | 72 | 33 | 27 | 0 | 2 | 5 | 2 | 3 | 220 | 213 | 7 | 36 | 22 | 9 | 0 | 1 | 2 | 0 | 2 | 123 | 97 | 26 | 36 | 11 | 18 | 0 | 1 | 3 | 2 | 1 | 97 | 116 | -19 | 82 | 220 | 362 | 582 | 4 | 0 | 38 | 86 | 92 | 6 | 2643 | 747 | 990 | 894 | 32 | 2550 | 827 | 514 | 1815 | 132 | 48 | 36.36% | 167 | 55 | 67.07% | 5 | 744 | 1537 | 48.41% | 756 | 1485 | 50.91% | 545 | 1012 | 53.85% | 1525 | 852 | 1477 | 675 | 1355 | 672 |
| 2025 | 72 | 21 | 34 | 0 | 5 | 5 | 2 | 5 | 201 | 256 | -55 | 36 | 11 | 18 | 0 | 2 | 0 | 1 | 4 | 100 | 124 | -24 | 36 | 10 | 16 | 0 | 3 | 5 | 1 | 1 | 101 | 132 | -31 | 66 | 201 | 361 | 562 | 0 | 0 | 69 | 61 | 64 | 13 | 1649 | 546 | 556 | 525 | 47 | 1815 | 522 | 722 | 1172 | 343 | 63 | 18.37% | 314 | 65 | 79.30% | 2 | 1010 | 2066 | 48.89% | 1081 | 2198 | 49.18% | 583 | 1169 | 49.87% | 1688 | 1120 | 1708 | 577 | 972 | 480 |
| Total Saison régulière | 360 | 137 | 153 | 0 | 19 | 21 | 12 | 18 | 1048 | 1125 | -77 | 180 | 80 | 70 | 0 | 7 | 5 | 6 | 12 | 548 | 535 | 13 | 180 | 57 | 83 | 0 | 12 | 16 | 6 | 6 | 500 | 590 | -90 | 375 | 1048 | 1839 | 2887 | 7 | 6 | 341 | 348 | 328 | 41 | 10307 | 3352 | 3563 | 3279 | 222 | 10855 | 3177 | 3873 | 7954 | 1542 | 281 | 18.22% | 1585 | 304 | 80.82% | 15 | 5138 | 10395 | 49.43% | 5332 | 10709 | 49.79% | 2775 | 5486 | 50.58% | 8276 | 5359 | 8401 | 2952 | 5150 | 2556 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2021 | 14 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 42 | 43 | -1 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 24 | 27 | -3 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 18 | 16 | 2 | 14 | 42 | 76 | 118 | 0 | 1 | 14 | 12 | 15 | 1 | 379 | 123 | 113 | 137 | 6 | 434 | 99 | 205 | 299 | 96 | 17 | 17.71% | 89 | 18 | 79.78% | 2 | 206 | 456 | 45.18% | 214 | 492 | 43.50% | 96 | 221 | 43.44% | 322 | 208 | 350 | 113 | 183 | 90 |
| 2024 | 24 | 15 | 9 | 0 | 0 | 0 | 0 | 0 | 70 | 57 | 13 | 11 | 6 | 5 | 0 | 0 | 0 | 0 | 0 | 33 | 24 | 9 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 37 | 33 | 4 | 30 | 70 | 116 | 186 | 2 | 0 | 10 | 32 | 23 | 5 | 886 | 229 | 342 | 282 | 33 | 866 | 261 | 171 | 621 | 56 | 20 | 35.71% | 63 | 20 | 68.25% | 1 | 279 | 558 | 50.00% | 273 | 551 | 49.55% | 154 | 336 | 45.83% | 532 | 298 | 509 | 234 | 460 | 226 |
| Total Séries éliminatoires | 38 | 22 | 16 | 0 | 0 | 0 | 0 | 0 | 112 | 100 | 12 | 18 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 57 | 51 | 6 | 20 | 13 | 7 | 0 | 0 | 0 | 0 | 0 | 55 | 49 | 6 | 44 | 112 | 192 | 304 | 2 | 1 | 24 | 44 | 38 | 6 | 1265 | 352 | 455 | 419 | 39 | 1300 | 360 | 376 | 920 | 152 | 37 | 24.34% | 152 | 38 | 75.00% | 3 | 485 | 1014 | 47.83% | 487 | 1043 | 46.69% | 250 | 557 | 44.88% | 855 | 507 | 859 | 348 | 644 | 317 |
| # | 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 | James Hamblin | 38 | 16 | 23 | 39 | 12 | 12 | 46 | 62 | 108 | 14.81% | 21 | 711 | 18.72 | 4 | 9 | 13 | 11 | 0 | 2 | 2 | 2 | 4 | 2 | 49.28% | 0 | 1.10 | 0 | 0 |
| 2 | Michael Pezzetta | 24 | 10 | 15 | 25 | 9 | 6 | 49 | 33 | 80 | 12.50% | 12 | 472 | 19.67 | 5 | 7 | 12 | 15 | 0 | 0 | 0 | 0 | 4 | 1 | 25.49% | 0 | 1.06 | 0 | 0 |
| 3 | Givani Smith | 24 | 10 | 14 | 24 | 10 | 41 | 52 | 20 | 90 | 11.11% | 9 | 487 | 20.32 | 4 | 4 | 8 | 10 | 0 | 0 | 0 | 2 | 2 | 1 | 20.69% | 0 | 0.98 | 0 | 1 |
| 4 | Jonathan Gruden | 38 | 10 | 10 | 20 | -5 | 8 | 48 | 53 | 87 | 11.49% | 11 | 599 | 15.78 | 1 | 4 | 5 | 7 | 2 | 0 | 2 | 2 | 4 | 1 | 47.83% | 0 | 0.67 | 0 | 0 |
| 5 | Jesse Ylonen | 24 | 9 | 8 | 17 | -2 | 0 | 38 | 37 | 84 | 10.71% | 13 | 395 | 16.47 | 4 | 2 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 31.25% | 0 | 0.86 | 0 | 0 |
| # | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Jet Greaves | 24 | 15 | 6 | 3 | 0.936 | 2.20 | 1500 | 6 | 0 | 55 | 864 | 473 | 0 | 2 | 0 | 0 |
| 2 | Alex D'Orio | 14 | 7 | 5 | 2 | 0.905 | 2.89 | 832 | 0 | 1 | 40 | 423 | 0 | 0 | 0 | 0 | 0 |
| 3 | Jeremy Brodeur | 1 | 0 | 0 | 0 | 0.727 | 7.83 | 23 | 0 | 0 | 3 | 11 | 0 | 0 | 0 | 0 | 0 |
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