![]() | Outlaws |
| GP: 73 | W: 42 | L: 25 | OTL: 6 | P: 90 GF: 236 | GA: 218 | PP%: 12.24% | PK%: 85.82% DG: Jean-Gabriel Langlois | Morale : 90 | Moyenne d’équipe : 55 Prochains matchs #1134 vs Vandals |
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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 | Calum Ritchie (R) | X | 100.00 | 52 | 45 | 95 | 78 | 61 | 64 | 40 | 47 | 30 | 40 | 54 | 55 | 50 | 80 | 70 | 0 | 90 | 54 | 0 | 20 | 5 | 1,200,000$ | ||||
| 2 | Dustin Jeffrey | X | 100.00 | 50 | 45 | 95 | 75 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 95 | 82 | 0 | 90 | 53 | 0 | 36 | 1 | 2,000,000$ | ||||
| 3 | Martin Kaut (R) | X | 100.00 | 50 | 45 | 95 | 80 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 83 | 70 | 0 | 90 | 52 | 0 | 25 | 1 | 2,150,000$ | ||||
| 4 | Alex Goligoski | X | 100.00 | 50 | 45 | 81 | 85 | 45 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 98 | 87 | 0 | 90 | 57 | 0 | 40 | 3 | 1,500,000$ | ||||
| 5 | Bobby Sanguinetti | X | 100.00 | 50 | 45 | 95 | 77 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 95 | 82 | 0 | 90 | 57 | 0 | 36 | 3 | 1,500,000$ | ||||
| 6 | Thomas Hickey | X | 100.00 | 50 | 45 | 95 | 78 | 60 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 94 | 81 | 0 | 90 | 57 | 0 | 36 | 3 | 1,500,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 50 | 45 | 93 | 79 | 58 | 52 | 40 | 45 | 30 | 40 | 51 | 55 | 50 | 91 | 79 | 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 | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Rayé | |||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Alain Nasreddine | 65 | 65 | 65 | 65 | 83 | 79 | 74 | CAN | 52 | 2 | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Alex Goligoski | Outlaws (DAL) | D | 40 | 1985-07-30 | USA | No | 173 Lbs | 5 ft11 | No | No | Assign Manually | No | No | 3 | 2026-03-24 | False | False | Pro & Farm | 1,500,000$ | 250,000$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Bobby Sanguinetti | Outlaws (DAL) | D | 36 | 1988-10-12 | USA | No | 190 Lbs | 6 ft3 | No | No | Assign Manually | No | No | 3 | 2026-03-24 | False | False | Pro & Farm | 1,500,000$ | 250,000$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | ||
| Calum Ritchie | Outlaws (DAL) | C | 20 | 2005-01-21 | CAN | Yes | 185 Lbs | 6 ft2 | No | No | Prospect | No | No | 5 | 2026-03-08 | False | False | Pro & Farm | 1,200,000$ | 200,000$ | 0$ | 0$ | No | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | 1,200,000$ | 1,200,000$ | 1,200,000$ | 1,200,000$ | - | - | - | - | - | No | No | No | No | - | - | - | - | - | Lien NHL | |
| Dustin Jeffrey | Outlaws (DAL) | C | 36 | 1988-10-12 | CAN | No | 205 Lbs | 6 ft1 | No | No | Assign Manually | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 2,000,000$ | 333,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||
| Martin Kaut | Outlaws (DAL) | LW | 25 | 1999-10-02 | CZE | Yes | 190 Lbs | 6 ft2 | No | No | Trade | 2025-03-24 | No | No | 1 | 2026-03-08 | False | False | Pro & Farm | 2,150,000$ | 358,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |
| Thomas Hickey | Outlaws (DAL) | D | 36 | 1989-02-08 | CAN | No | 185 Lbs | 6 ft0 | No | No | Assign Manually | No | No | 3 | 2026-03-24 | False | False | Pro & Farm | 1,500,000$ | 250,000$ | 0$ | 0$ | No | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | 1,500,000$ | 1,500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 6 | 32.17 | 188 Lbs | 6 ft1 | 2.67 | 1,641,667$ |
| 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 | Bandits | 3 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 12 | 13 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 6 | 1 | 4 | 0.667 | 12 | 21 | 33 | 0 | 0 | 72 | 87 | 65 | 15 | 129 | 895 | 934 | 968 | 71 | 92 | 25 | 31 | 76 | 15 | 4 | 26.67% | 13 | 3 | 76.92% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 2 | Barracudas | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0.333 | 6 | 10 | 16 | 0 | 0 | 72 | 87 | 65 | 15 | 90 | 895 | 934 | 968 | 71 | 101 | 31 | 34 | 74 | 20 | 2 | 10.00% | 15 | 1 | 93.33% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 3 | Bayou | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 5 | 10 | 15 | 0 | 0 | 72 | 87 | 65 | 15 | 78 | 895 | 934 | 968 | 71 | 74 | 18 | 24 | 40 | 18 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 4 | Chiwawa | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 8 | 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 1 | 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 4 | 0.667 | 18 | 33 | 51 | 0 | 0 | 72 | 87 | 65 | 15 | 131 | 895 | 934 | 968 | 71 | 89 | 17 | 12 | 59 | 18 | 3 | 16.67% | 6 | 1 | 83.33% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 5 | CoolFm | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 14 | 10 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 6 | 1.000 | 14 | 27 | 41 | 0 | 0 | 72 | 87 | 65 | 15 | 147 | 895 | 934 | 968 | 71 | 73 | 18 | 30 | 64 | 17 | 1 | 5.88% | 15 | 4 | 73.33% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 6 | Farmers | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 72 | 87 | 65 | 15 | 82 | 895 | 934 | 968 | 71 | 72 | 12 | 18 | 49 | 13 | 1 | 7.69% | 9 | 1 | 88.89% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 7 | Goons | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 9 | 6 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 5 | 5 | 0 | 5 | 0.833 | 9 | 16 | 25 | 0 | 0 | 72 | 87 | 65 | 15 | 114 | 895 | 934 | 968 | 71 | 71 | 22 | 22 | 84 | 15 | 1 | 6.67% | 11 | 3 | 72.73% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 8 | Grizzlies | 4 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 11 | 5 | 6 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 4 | 5 | 8 | 1.000 | 11 | 21 | 32 | 0 | 0 | 72 | 87 | 65 | 15 | 182 | 895 | 934 | 968 | 71 | 148 | 54 | 36 | 97 | 21 | 2 | 9.52% | 17 | 1 | 94.12% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 9 | Hunters | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 14 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 11 | -4 | 4 | 0.667 | 11 | 21 | 32 | 0 | 0 | 72 | 87 | 65 | 15 | 111 | 895 | 934 | 968 | 71 | 98 | 29 | 36 | 77 | 15 | 0 | 0.00% | 16 | 5 | 68.75% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 10 | Husky | 3 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 13 | 12 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 9 | 9 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 5 | 0.833 | 13 | 26 | 39 | 0 | 0 | 72 | 87 | 65 | 15 | 132 | 895 | 934 | 968 | 71 | 102 | 35 | 52 | 80 | 13 | 3 | 23.08% | 23 | 5 | 78.26% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 11 | Igloos | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 0.500 | 6 | 12 | 18 | 0 | 1 | 72 | 87 | 65 | 15 | 70 | 895 | 934 | 968 | 71 | 54 | 11 | 41 | 55 | 7 | 1 | 14.29% | 14 | 1 | 92.86% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 12 | Marlies | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 18 | 18 | 0 | 3 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 14 | 9 | 5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 5 | 0.500 | 18 | 33 | 51 | 0 | 0 | 72 | 87 | 65 | 15 | 188 | 895 | 934 | 968 | 71 | 163 | 37 | 68 | 124 | 38 | 6 | 15.79% | 33 | 6 | 81.82% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 13 | Marmots | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 8 | 3 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 6 | 0.750 | 11 | 20 | 31 | 0 | 0 | 72 | 87 | 65 | 15 | 138 | 895 | 934 | 968 | 71 | 108 | 22 | 50 | 93 | 19 | 3 | 15.79% | 24 | 3 | 87.50% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 14 | Predateurs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 9 | 18 | 27 | 0 | 0 | 72 | 87 | 65 | 15 | 90 | 895 | 934 | 968 | 71 | 55 | 13 | 20 | 53 | 15 | 1 | 6.67% | 10 | 1 | 90.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 15 | Raptors | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0.500 | 4 | 7 | 11 | 1 | 0 | 72 | 87 | 65 | 15 | 73 | 895 | 934 | 968 | 71 | 59 | 8 | 26 | 43 | 10 | 1 | 10.00% | 12 | 0 | 100.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 16 | Rockets | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 13 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 9 | 18 | 27 | 0 | 0 | 72 | 87 | 65 | 15 | 137 | 895 | 934 | 968 | 71 | 101 | 34 | 39 | 57 | 14 | 2 | 14.29% | 15 | 3 | 80.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 17 | Sags | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 6 | 10 | 16 | 0 | 0 | 72 | 87 | 65 | 15 | 97 | 895 | 934 | 968 | 71 | 39 | 15 | 22 | 39 | 6 | 1 | 16.67% | 11 | 5 | 54.55% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 18 | Scorpions | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1.000 | 3 | 6 | 9 | 0 | 0 | 72 | 87 | 65 | 15 | 29 | 895 | 934 | 968 | 71 | 13 | 4 | 19 | 22 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 19 | Smirnoff Ice | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 72 | 87 | 65 | 15 | 65 | 895 | 934 | 968 | 71 | 60 | 18 | 29 | 46 | 4 | 1 | 25.00% | 11 | 0 | 100.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 20 | Snowbirds | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 72 | 87 | 65 | 15 | 36 | 895 | 934 | 968 | 71 | 29 | 8 | 8 | 30 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 21 | Spartans | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | -4 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 72 | 87 | 65 | 15 | 111 | 895 | 934 | 968 | 71 | 114 | 28 | 40 | 92 | 10 | 0 | 0.00% | 19 | 1 | 94.74% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 22 | Supreme | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 6 | 12 | 18 | 0 | 0 | 72 | 87 | 65 | 15 | 58 | 895 | 934 | 968 | 71 | 70 | 16 | 26 | 57 | 8 | 2 | 25.00% | 14 | 3 | 78.57% | 1 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 23 | Thugs | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 9 | 5 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 9 | 18 | 27 | 0 | 0 | 72 | 87 | 65 | 15 | 83 | 895 | 934 | 968 | 71 | 85 | 24 | 26 | 53 | 13 | 3 | 23.08% | 13 | 1 | 92.31% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 24 | TigersCats | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 72 | 87 | 65 | 15 | 37 | 895 | 934 | 968 | 71 | 31 | 17 | 12 | 26 | 9 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 25 | Twins | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 72 | 87 | 65 | 15 | 74 | 895 | 934 | 968 | 71 | 44 | 12 | 18 | 40 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 26 | Vandals | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 1.000 | 1 | 2 | 3 | 0 | 1 | 72 | 87 | 65 | 15 | 32 | 895 | 934 | 968 | 71 | 22 | 7 | 4 | 22 | 7 | 1 | 14.29% | 3 | 0 | 100.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 27 | Vipers | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 2 | 0.500 | 6 | 11 | 17 | 0 | 1 | 72 | 87 | 65 | 15 | 74 | 895 | 934 | 968 | 71 | 74 | 23 | 20 | 59 | 14 | 1 | 7.14% | 10 | 0 | 100.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 28 | Warriors | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 72 | 87 | 65 | 15 | 92 | 895 | 934 | 968 | 71 | 42 | 17 | 25 | 47 | 9 | 2 | 22.22% | 9 | 1 | 88.89% | 1 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 29 | Wolves | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 7 | 3 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 4 | 1.000 | 7 | 11 | 18 | 0 | 0 | 72 | 87 | 65 | 15 | 70 | 895 | 934 | 968 | 71 | 81 | 29 | 17 | 53 | 7 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| 30 | Xpress | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 10 | 11 | -1 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 9 | 7 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 3 | 0.500 | 10 | 20 | 30 | 0 | 0 | 72 | 87 | 65 | 15 | 106 | 895 | 934 | 968 | 71 | 127 | 24 | 54 | 81 | 9 | 1 | 11.11% | 23 | 2 | 91.30% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | |
| Total | 73 | 30 | 25 | 0 | 10 | 5 | 2 | 1 | 236 | 218 | 18 | 36 | 17 | 8 | 0 | 6 | 4 | 1 | 0 | 135 | 106 | 29 | 37 | 13 | 17 | 0 | 4 | 1 | 1 | 1 | 101 | 112 | -11 | 90 | 0.616 | 236 | 447 | 683 | 1 | 3 | 72 | 87 | 65 | 15 | 2856 | 895 | 934 | 968 | 71 | 2291 | 628 | 859 | 1792 | 384 | 47 | 12.24% | 388 | 55 | 85.82% | 2 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | ||
| _Since Last GM Reset | 73 | 30 | 25 | 0 | 10 | 5 | 2 | 1 | 236 | 218 | 18 | 36 | 17 | 8 | 0 | 6 | 4 | 1 | 0 | 135 | 106 | 29 | 37 | 13 | 17 | 0 | 4 | 1 | 1 | 1 | 101 | 112 | -11 | 90 | 0.616 | 236 | 447 | 683 | 1 | 3 | 72 | 87 | 65 | 15 | 2856 | 895 | 934 | 968 | 71 | 2291 | 628 | 859 | 1792 | 384 | 47 | 12.24% | 388 | 55 | 85.82% | 2 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | ||
| _Vs Conference | 30 | 13 | 11 | 0 | 4 | 0 | 1 | 1 | 94 | 78 | 16 | 13 | 7 | 2 | 0 | 3 | 0 | 1 | 0 | 53 | 30 | 23 | 17 | 6 | 9 | 0 | 1 | 0 | 0 | 1 | 41 | 48 | -7 | 37 | 0.617 | 94 | 176 | 270 | 1 | 2 | 72 | 87 | 65 | 15 | 1126 | 895 | 934 | 968 | 71 | 949 | 253 | 316 | 736 | 166 | 19 | 11.45% | 149 | 17 | 88.59% | 1 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | ||
| _Vs Division | 14 | 7 | 4 | 0 | 1 | 0 | 1 | 1 | 38 | 32 | 6 | 6 | 4 | 0 | 0 | 1 | 0 | 1 | 0 | 23 | 11 | 12 | 8 | 3 | 4 | 0 | 0 | 0 | 0 | 1 | 15 | 21 | -6 | 19 | 0.679 | 38 | 70 | 108 | 0 | 2 | 72 | 87 | 65 | 15 | 508 | 895 | 934 | 968 | 71 | 451 | 133 | 137 | 341 | 90 | 6 | 6.67% | 64 | 4 | 93.75% | 0 | 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% | 1866 | 1377 | 1756 | 497 | 812 | 399 | ||
| 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 |
| 73 | 90 | L3 | 236 | 447 | 683 | 2856 | 2291 | 628 | 859 | 1792 | 1 | 3 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 73 | 30 | 25 | 10 | 5 | 2 | 1 | 236 | 218 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 36 | 17 | 8 | 6 | 4 | 1 | 0 | 135 | 106 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 37 | 13 | 17 | 4 | 1 | 1 | 1 | 101 | 112 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 2 | 4 | 2 | 1 | 0 | 1 |
| 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 |
|---|---|---|---|---|---|---|
| 384 | 47 | 12.24% | 388 | 55 | 85.82% | 2 |
| 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 |
|---|---|---|---|---|---|---|---|
| 895 | 934 | 968 | 71 | 72 | 87 | 65 | 15 |
| 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 |
| 1498 | 2831 | 52.91% | 1251 | 2543 | 49.19% | 555 | 1059 | 52.41% |
| 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 |
| 1866 | 1377 | 1756 | 497 | 812 | 399 |
| 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 |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 71,935 | 35,965 |
| Assistance PCT | 99.91% | 99.90% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité de l’aréna | Popularité de l’équipe |
| 5 | 2997 - 99.91% | 101,907$ | 3,668,640$ | 3000 | 100 |
| Dépenses | |||
|---|---|---|---|
| Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
| 1,854,862$ | 985,000$ | 985,000$ | 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$ | 1,021,515$ | 0 | 0 |
| Estimation | |||
|---|---|---|---|
| Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
| 509,533$ | 18 | 18,380$ | 330,840$ |
| # | 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 |
|---|