 | TigersCats |
| GP: 9 | W: 4 | L: 5 | OTL: 0 | P: 8 GF: 39 | GA: 31 | PP%: 30.23% | PK%: 81.48% DG: Jean-Denis Larouche | Morale : 90 | Moyenne d’équipe : 57 Prochains matchs #140 vs Marlies |
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| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Adam Gaudette | X | 100.00 | 64 | 45 | 87 | 83 | 61 | 57 | 80 | 61 | 78 | 50 | 71 | 60 | 69 | 89 | 77 | 0 | 90 | 64 | 0 | 29 | 3 | 1,000,000$ | ||||
| 2 | Ethen Frank (R) | X | 100.00 | 65 | 45 | 87 | 83 | 56 | 61 | 75 | 61 | 30 | 56 | 66 | 65 | 70 | 88 | 77 | 0 | 90 | 62 | 0 | 28 | 2 | 900,000$ | ||||
| 3 | Curtis McKenzie | X | 100.00 | 50 | 45 | 95 | 75 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 92 | 79 | 0 | 90 | 53 | 0 | 34 | 1 | 850,000$ | ||||
| 4 | Rem Pitlick | X | 100.00 | 50 | 45 | 92 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 87 | 80 | 0 | 90 | 53 | 0 | 29 | 3 | 1,000,000$ | ||||
| 5 | Thomas Bordeleau | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 71 | 0 | 90 | 52 | 0 | 24 | 2 | 900,000$ | ||||
| 6 | Colin White | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 88 | 75 | 0 | 90 | 52 | 0 | 29 | 3 | 1,000,000$ | ||||
| 7 | Nick Leddy | X | 100.00 | 50 | 45 | 90 | 79 | 62 | 74 | 40 | 55 | 30 | 55 | 54 | 71 | 66 | 95 | 87 | 0 | 90 | 64 | 0 | 35 | 2 | 3,800,000$ | ||||
| 8 | Jaycob Megna | X | 100.00 | 52 | 45 | 92 | 74 | 78 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 93 | 81 | 0 | 90 | 58 | 0 | 33 | 1 | 900,000$ | ||||
| 9 | Mikhail Maltsev (R) | X | 100.00 | 50 | 45 | 95 | 76 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 85 | 72 | 0 | 90 | 56 | 0 | 28 | 5 | 900,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 53 | 45 | 92 | 78 | 62 | 55 | 48 | 50 | 35 | 45 | 55 | 58 | 56 | 89 | 78 | 0 | 90 | 57 | ||||||||||
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Adam Werner | 100.00 | 70 | 40 | 40 | 90 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 82 | 69 | 0 | 90 | 58 | 0 | 29 | 3 | 1,000,000$ | |
| 2 | Collin Delia | 100.00 | 70 | 40 | 40 | 89 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 88 | 79 | 0 | 90 | 58 | 0 | 32 | 2 | 5,000,000$ | |
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 70 | 40 | 40 | 90 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 85 | 74 | 0 | 90 | 58 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Jeremy Colliton | 65 | 65 | 65 | 65 | 73 | 84 | 94 | CAN | 42 | 2 | 750,000$ |
| 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 Gaudette | TigersCats (HAM) | C | 29 | 1996-10-03 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Adam Werner | TigersCats (HAM) | G | 29 | 1997-05-02 | SWE | No | 205 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Colin White | TigersCats (HAM) | RW | 29 | 1997-01-30 | USA | No | 194 Lbs | 6 ft1 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Collin Delia | TigersCats (HAM) | G | 32 | 1994-06-20 | USA | No | 208 Lbs | 6 ft2 | No | No | Assign Manually | 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 | - | - | - | - | - | - | - | - | Lien NHL | |
| Curtis McKenzie | TigersCats (HAM) | LW | 34 | 1991-10-12 | CAN | No | 205 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 850,000$ | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Ethen Frank | TigersCats (HAM) | C | 28 | 1998-02-05 | CAN | Yes | 188 Lbs | 5 ft11 | No | No | Trade | 2026-04-27 | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| Jaycob Megna | TigersCats (HAM) | D | 33 | 1992-12-10 | USA | No | 220 Lbs | 6 ft6 | No | No | N/A | No | No | 1 | 2026-08-30 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
| Mikhail Maltsev | TigersCats (HAM) | D | 28 | 1998-03-12 | RUS | Yes | 198 Lbs | 6 ft3 | No | No | N/A | No | No | 5 | 2026-09-01 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | 900,000$ | 900,000$ | 900,000$ | 900,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | ||
| Nick Leddy | TigersCats (HAM) | D | 35 | 1991-03-20 | USA | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 3,800,000$ | 3,800,000$ | 0$ | 0$ | No | 3,800,000$ | - | - | - | - | - | - | - | - | 3,800,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL | |
| Rem Pitlick | TigersCats (HAM) | C | 29 | 1997-04-02 | CAN | No | 186 Lbs | 5 ft11 | No | No | N/A | No | No | 3 | 2026-08-30 | False | False | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | 1,000,000$ | 1,000,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
| Thomas Bordeleau | TigersCats (HAM) | C | 24 | 2002-01-03 | USA | No | 175 Lbs | 5 ft10 | No | No | Trade | 2026-01-04 | No | No | 2 | 2026-08-30 | False | False | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | - | - | - | - | - | - | - | - | 900,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 11 | 30.00 | 198 Lbs | 6 ft1 | 2.45 | 1,568,182$ |
| 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 | 30 | 1 | 2 | 2 | |||
| 3 | 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 | 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 | 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 | 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 | 45 | 1 | 2 | 2 | ||
| Attaque dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Défense dernière minute | ||||
|---|---|---|---|---|
| Ailier gauche | Centre | Ailier droit | Défense | Défense |
| Attaquants supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| Défenseurs supplémentaires | ||
|---|---|---|
| Normal | Avantage numérique | Désavantage numérique |
| , , | , | |
| 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 |
| 1 |  Farmers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 7 | 11 | 0 | 0 | 10 | 18 | 11 | 0 | 36 | 102 | 121 | 115 | 0 | 46 | 19 | 16 | 33 | 4 | 1 | 25.00% | 8 | 2 | 75.00% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | |
| 2 |  Grizzlies | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 3 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 9 | 16 | 25 | 0 | 1 | 10 | 18 | 11 | 0 | 83 | 102 | 121 | 115 | 0 | 85 | 32 | 28 | 52 | 11 | 3 | 27.27% | 14 | 2 | 85.71% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | |
| 3 |  Marlies | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 10 | 18 | 11 | 0 | 40 | 102 | 121 | 115 | 0 | 30 | 4 | 9 | 31 | 9 | 2 | 22.22% | 2 | 2 | 0.00% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | |
| 4 |  Rockets | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 10 | 19 | 29 | 0 | 0 | 10 | 18 | 11 | 0 | 86 | 102 | 121 | 115 | 0 | 76 | 21 | 24 | 52 | 13 | 5 | 38.46% | 10 | 1 | 90.00% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | |
| 5 |  Smirnoff Ice | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 10 | 18 | 11 | 0 | 42 | 102 | 121 | 115 | 0 | 18 | 4 | 2 | 30 | 1 | 0 | 0.00% | 1 | 1 | 0.00% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | |
| 6 |  Warriors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 8 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 2 | 0.500 | 9 | 17 | 26 | 0 | 0 | 10 | 18 | 11 | 0 | 51 | 102 | 121 | 115 | 0 | 50 | 23 | 38 | 62 | 5 | 2 | 40.00% | 19 | 2 | 89.47% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | |
| Total | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 39 | 31 | 8 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 14 | 13 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 8 | 0.444 | 39 | 73 | 112 | 0 | 1 | 10 | 18 | 11 | 0 | 338 | 102 | 121 | 115 | 0 | 305 | 103 | 117 | 260 | 43 | 13 | 30.23% | 54 | 10 | 81.48% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | ||
| _Since Last GM Reset | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 39 | 31 | 8 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 14 | 13 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 8 | 0.444 | 39 | 73 | 112 | 0 | 1 | 10 | 18 | 11 | 0 | 338 | 102 | 121 | 115 | 0 | 305 | 103 | 117 | 260 | 43 | 13 | 30.23% | 54 | 10 | 81.48% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | ||
| _Vs Conference | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 39 | 31 | 8 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 14 | 13 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 8 | 0.444 | 39 | 73 | 112 | 0 | 1 | 10 | 18 | 11 | 0 | 338 | 102 | 121 | 115 | 0 | 305 | 103 | 117 | 260 | 43 | 13 | 30.23% | 54 | 10 | 81.48% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | ||
| _Vs Division | 9 | 4 | 5 | 0 | 0 | 0 | 0 | 0 | 39 | 31 | 8 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 14 | 13 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 8 | 0.444 | 39 | 73 | 112 | 0 | 1 | 10 | 18 | 11 | 0 | 338 | 102 | 121 | 115 | 0 | 305 | 103 | 117 | 260 | 43 | 13 | 30.23% | 54 | 10 | 81.48% | 0 | 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% | 212 | 151 | 224 | 62 | 102 | 50 | ||
| 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 |
| 9 | 8 | W1 | 39 | 73 | 112 | 338 | 305 | 103 | 117 | 260 | 0 | 1 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 4 | 5 | 0 | 0 | 0 | 0 | 39 | 31 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 5 | 4 | 1 | 0 | 0 | 0 | 0 | 27 | 14 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 4 | 0 | 4 | 0 | 0 | 0 | 0 | 12 | 17 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 4 | 5 | 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 |
|---|---|---|---|---|---|---|
| 43 | 13 | 30.23% | 54 | 10 | 81.48% | 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 |
|---|---|---|---|---|---|---|---|
| 102 | 121 | 115 | 0 | 10 | 18 | 11 | 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 |
| 169 | 336 | 50.30% | 163 | 314 | 51.91% | 72 | 151 | 47.68% |
| 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 |
| 212 | 151 | 224 | 62 | 102 | 50 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | 11 | TigersCats | 2 | Smirnoff Ice | 4 | L | Sommaire du match | |||
| 2 | 19 | Rockets | 3 | TigersCats | 6 | W | Sommaire du match | |||
| 3 | 38 | TigersCats | 2 | Grizzlies | 3 | L | Sommaire du match | |||
| 5 | 54 | Farmers | 5 | TigersCats | 4 | L | Sommaire du match | |||
| 7 | 78 | Marlies | 3 | TigersCats | 5 | W | Sommaire du match | |||
| 9 | 97 | Grizzlies | 0 | TigersCats | 7 | W | Sommaire du match | |||
| 10 | 111 | TigersCats | 4 | Warriors | 5 | L | Sommaire du match | |||
| 11 | 118 | TigersCats | 4 | Rockets | 5 | L | Sommaire du match | |||
| 12 | 133 | Warriors | 3 | TigersCats | 5 | W | Sommaire du match | |||
| 13 | 140 | TigersCats | - | Marlies | - | |||||
| 15 | 161 |  Marmots | - | TigersCats | - | |||||
| Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
| 16 | 170 | TigersCats | - | Farmers | - | |||||
| 17 | 195 | TigersCats | - | Marmots | - | |||||
| 20 | 214 | Smirnoff Ice | - | TigersCats | - | |||||
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 40 | 20 |
| Assistance | 0 | 0 |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité de l’aréna | Popularité de l’équipe |
| 2 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 0$ | 1,725,000$ | 0$ | 750,000$0$ |
| Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 0$ | 8 | 0$ | 0$ |
| # | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | 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
Goons
Hunters
Husky
Igloos
Xpress
Barracudas
Bayou
Chiwawa
Outlaws
Predateurs
Raptors
Sags
Scorpions
Snowbirds
Spartans
Supreme
Thugs
Twins
Vandals
Vipers
Wolves
