 | Calgary Wranglers |
| GP: 3 | W: 2 | L: 1 GF: 6 | GA: 5 | PP%: 6.45% | PK%: 100.00% DG: | Morale : 79 | Moyenne d’équipe : 70 Prochains matchs #31 vs Iowa Wild |
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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 | Ty Mueller (R) | X | 100.00 | 75 | 41 | 80 | 73 | 75 | 78 | 86 | 67 | 71 | 67 | 66 | 71 | 67 | 56 | 56 | 0 | 70 | 67 | 0 | 23 | 2 | 870,000$ | ||||
| 2 | Matthew Maggio (R) | X | 100.00 | 73 | 43 | 80 | 72 | 72 | 77 | 87 | 66 | 55 | 65 | 66 | 69 | 65 | 60 | 60 | 0 | 70 | 66 | 0 | 23 | 1 | 950,000$ | ||||
| 3 | Nico Myatovic (R) | X | 100.00 | 75 | 44 | 80 | 72 | 72 | 77 | 86 | 65 | 55 | 66 | 66 | 70 | 65 | 56 | 56 | 0 | 70 | 66 | 0 | 21 | 2 | 896,667$ | ||||
| 4 | Tristan Broz (R) | X | 100.00 | 75 | 42 | 80 | 73 | 73 | 77 | 85 | 66 | 73 | 66 | 67 | 69 | 66 | 60 | 60 | 0 | 70 | 66 | 0 | 23 | 2 | 925,000$ | ||||
| 5 | Cameron Berg (R) | X | 100.00 | 74 | 41 | 80 | 72 | 72 | 76 | 85 | 66 | 72 | 65 | 66 | 70 | 64 | 63 | 63 | 0 | 64 | 66 | 0 | 24 | 1 | 700,000$ | ||||
| 6 | Daemon Hunt (R) | X | 100.00 | 74 | 45 | 83 | 73 | 75 | 80 | 86 | 68 | 30 | 68 | 61 | 76 | 66 | 66 | 66 | 0 | 59 | 69 | 0 | 23 | 1 | 828,333$ | ||||
| 7 | Topi Niemelä (R) | X | 100.00 | 72 | 41 | 81 | 73 | 75 | 79 | 85 | 66 | 30 | 67 | 62 | 73 | 66 | 60 | 60 | 0 | 59 | 68 | 0 | 24 | 1 | 856,667$ | ||||
| 8 | Bryce Montgomery (R) | X | 100.00 | 82 | 41 | 78 | 71 | 71 | 75 | 84 | 64 | 30 | 64 | 61 | 72 | 64 | 60 | 60 | 0 | 64 | 67 | 0 | 23 | 2 | 854,910$ | ||||
| 9 | Josh Healey | X | 100.00 | 88 | 75 | 72 | 61 | 73 | 76 | 85 | 61 | 30 | 62 | 61 | 71 | 60 | 66 | 66 | 0 | 59 | 66 | 0 | 31 | 2 | 700,000$ | ||||
| Rayé | |||||||||||||||||||||||||||||
| MOYENNE D’ÉQUIPE | 100.00 | 76 | 46 | 79 | 71 | 73 | 77 | 85 | 65 | 50 | 66 | 64 | 71 | 65 | 61 | 61 | 0 | 65 | 67 | ||||||||||
| 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 | Sebastian Cossa (R) | 100.00 | 84 | 86 | 86 | 97 | 84 | 84 | 83 | 83 | 85 | 85 | 68 | 60 | 60 | 0 | 78 | 80 | 0 | 23 | 2 | 863,334$ | |
| 2 | Carter Gylander (R) | 100.00 | 83 | 85 | 86 | 88 | 83 | 83 | 82 | 82 | 83 | 85 | 73 | 60 | 60 | 0 | 72 | 79 | 0 | 24 | 1 | 855,000$ | |
| Rayé | |||||||||||||||||||||||
| 1 | Aku Koskenvuo (R) | 100.00 | 82 | 82 | 83 | 80 | 82 | 83 | 81 | 82 | 82 | 82 | 72 | 53 | 53 | 0 | 43 | 76 | 0 | 23 | 2 | 850,000$ | |
| MOYENNE D’ÉQUIPE | 100.00 | 83 | 84 | 85 | 88 | 83 | 83 | 82 | 82 | 83 | 84 | 71 | 58 | 58 | 0 | 64 | 78 | ||||||
| Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Trent Cull | 71 | 88 | 75 | 83 | 76 | 71 | 82 | CAN | 50 | 3 | 600,000$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Aku Koskenvuo | Calgary Wranglers (CGY) | G | 23 | 2003-02-26 | FIN | Yes | 173 Lbs | 6 ft4 | No | No | Prospect | No | No | 2 | 2026-01-23 | False | False | Pro & Farm | 850,000$ | 485,714$ | 0$ | 0$ | No | 850,000$ | - | - | - | - | - | - | - | - | 850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Bryce Montgomery | Calgary Wranglers (CGY) | D | 23 | 2002-11-12 | USA | Yes | 220 Lbs | 6 ft4 | No | No | Prospect | No | No | 2 | 2026-01-24 | False | False | Pro & Farm | 854,910$ | 488,520$ | 0$ | 0$ | No | 854,910$ | - | - | - | - | - | - | - | - | 854,910$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Cameron Berg | Calgary Wranglers (CGY) | C | 24 | 2002-01-29 | USA | Yes | 192 Lbs | 6 ft0 | No | No | Prospect | No | No | 1 | 2026-01-24 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Carter Gylander | Calgary Wranglers (CGY) | G | 24 | 2001-06-05 | CAN | Yes | 197 Lbs | 6 ft5 | No | No | Prospect | No | No | 1 | 2026-01-24 | False | False | Pro & Farm | 855,000$ | 488,571$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Daemon Hunt | Calgary Wranglers (CGY) | D | 23 | 2002-05-15 | CAN | Yes | 201 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 828,333$ | 473,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Josh Healey | Calgary Wranglers (CGY) | D | 31 | 1994-07-14 | CAN | No | 205 Lbs | 6 ft0 | No | No | N/A | Yes | No | 2 | False | False | Pro & Farm | 700,000$ | 400,000$ | 0$ | 0$ | No | 700,000$ | - | - | - | - | - | - | - | - | 700,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Matthew Maggio | Calgary Wranglers (CGY) | RW | 23 | 2002-11-25 | CAN | Yes | 194 Lbs | 5 ft11 | No | No | Prospect | No | No | 1 | 2025-11-16 | False | False | Pro & Farm | 950,000$ | 542,857$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Nico Myatovic | Calgary Wranglers (CGY) | LW | 21 | 2004-12-01 | CAN | Yes | 203 Lbs | 6 ft2 | No | No | Prospect | No | No | 2 | 2025-11-16 | False | False | Pro & Farm | 896,667$ | 512,381$ | 0$ | 0$ | No | 896,667$ | - | - | - | - | - | - | - | - | 896,667$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Sebastian Cossa | Calgary Wranglers (CGY) | G | 23 | 2002-11-21 | CAN | Yes | 229 Lbs | 6 ft6 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 863,334$ | 493,334$ | 0$ | 0$ | No | 863,334$ | - | - | - | - | - | - | - | - | 863,334$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Topi Niemelä | Calgary Wranglers (CGY) | D | 24 | 2002-03-25 | FIN | Yes | 179 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 856,667$ | 489,524$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien / Lien NHL | ||
| Tristan Broz | Calgary Wranglers (CGY) | C | 23 | 2002-10-10 | USA | Yes | 204 Lbs | 6 ft0 | No | No | Prospect | No | No | 2 | 2025-11-16 | False | False | Pro & Farm | 925,000$ | 528,571$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL | |
| Ty Mueller | Calgary Wranglers (CGY) | C | 23 | 2003-02-26 | CAN | Yes | 185 Lbs | 5 ft11 | No | No | Prospect | No | No | 2 | 2025-11-16 | False | False | Pro & Farm | 870,000$ | 497,143$ | 0$ | 0$ | No | 870,000$ | - | - | - | - | - | - | - | - | 870,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien / Lien NHL |
| Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
|---|---|---|---|---|---|
| 12 | 23.75 | 199 Lbs | 6 ft2 | 1.58 | 845,826$ |
| Attaque à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 32 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 13 | 1 | 2 | 2 | |||
| Défense à 5 contre 5 | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 32 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 25 | 1 | 2 | 2 | |||
| 4 | 13 | 1 | 2 | 2 | |||
| Attaque en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Défense en avantage numérique | |||||||
|---|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
| 1 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Défense à 4 en désavantage numérique | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| 3 joueurs en désavantage numérique | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | 51 | 1 | 2 | 2 | |||
| 2 | 49 | 1 | 2 | 2 | 49 | 1 | 2 | 2 | |||
| Attaque à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 1 | 2 | 2 | ||
| Défense à 4 contre 4 | ||||||
|---|---|---|---|---|---|---|
| Ligne # | Défense | Défense | % temps | PHY | DF | OF |
| 1 | 51 | 1 | 2 | 2 | ||
| 2 | 49 | 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 : |
| 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 |
| 1 |  Iowa Wild | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 43 | 5 | 11 | 19 | 8 | 77 | 24 | 192 | 13 | 31 | 2 | 6.45% | 10 | 0 | 100.00% | 0 | 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% | 119 | 100 | 55 | 20 | 32 | 16 |
| Total | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 43 | 5 | 11 | 19 | 8 | 77 | 24 | 192 | 13 | 31 | 2 | 6.45% | 10 | 0 | 100.00% | 0 | 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% | 119 | 100 | 55 | 20 | 32 | 16 | |
| _Since Last GM Reset | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 43 | 5 | 11 | 19 | 8 | 77 | 24 | 192 | 13 | 31 | 2 | 6.45% | 10 | 0 | 100.00% | 0 | 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% | 119 | 100 | 55 | 20 | 32 | 16 | |
| _Vs Conference | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 43 | 5 | 11 | 19 | 8 | 77 | 24 | 192 | 13 | 31 | 2 | 6.45% | 10 | 0 | 100.00% | 0 | 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% | 119 | 100 | 55 | 20 | 32 | 16 | |
| 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 |
| 3 | 4 | OTL1 | 6 | 11 | 17 | 43 | 77 | 24 | 192 | 13 | 0 | 0 |
| Tous les matchs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 3 | 2 | 1 | 0 | 0 | 0 | 0 | 6 | 5 |
| Matchs locaux | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 2 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 2 |
| Matchs extérieurs | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 3 |
| Derniers 10 matchs | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 1 | 0 | 1 | 1 | 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 |
|---|---|---|---|---|---|---|
| 31 | 2 | 6.45% | 10 | 0 | 100.00% | 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 |
|---|---|---|---|---|---|---|---|
| 5 | 11 | 19 | 8 | 1 | 2 | 2 | 1 |
| 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 |
| 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% |
| 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 |
| 119 | 100 | 55 | 20 | 32 | 16 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 - 2026-05-03 | 7 | Iowa Wild | 1 | Calgary Wranglers | 2 | W | Sommaire du match | |||
| 4 - 2026-05-05 | 15 | Iowa Wild | 1 | Calgary Wranglers | 2 | W | X | Sommaire du match | ||
| 6 - 2026-05-07 | 23 | Calgary Wranglers | 2 | Iowa Wild | 3 | L | X | Sommaire du match | ||
| 8 - 2026-05-09 | 31 | Calgary Wranglers | - | Iowa Wild | - | |||||
| 10 - 2026-05-11 | 39 | Iowa Wild | - | Calgary Wranglers | - | |||||
| 12 - 2026-05-13 | 47 | Calgary Wranglers | - | Iowa Wild | - | |||||
| 14 - 2026-05-15 | 55 | Iowa Wild | - | Calgary Wranglers | - |
| Capacité de l’aréna - Tendance du prix des billets - % | ||
|---|---|---|
| Niveau 1 | Niveau 2 | |
| Capacité | 2000 | 1000 |
| Prix des billets | 35 | 15 |
| Assistance | 0 | 0 |
| Assistance PCT | 0.00% | 0.00% |
| Revenu | |||||
|---|---|---|---|---|---|
| Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
| 34 | 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$ | 1,014,991$ | 1,014,991$ | 600,000$0$ |
| 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 |
| Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 7 | 72 | 32 | 21 | 0 | 8 | 3 | 3 | 5 | 112 | 99 | 13 | 36 | 16 | 10 | 0 | 4 | 1 | 1 | 4 | 59 | 53 | 6 | 36 | 16 | 11 | 0 | 4 | 2 | 2 | 1 | 53 | 46 | 7 | 94 | 112 | 203 | 315 | 1 | 16 | 26 | 30 | 45 | 18 | 715 | 162 | 223 | 309 | 59 | 805 | 270 | 3203 | 518 | 365 | 21 | 5.75% | 276 | 9 | 96.74% | 7 | 445 | 818 | 54.40% | 422 | 784 | 53.83% | 360 | 702 | 51.28% | 2193 | 1802 | 1538 | 381 | 653 | 327 |
| Total Saison régulière | 72 | 32 | 21 | 0 | 8 | 3 | 3 | 5 | 112 | 99 | 13 | 36 | 16 | 10 | 0 | 4 | 1 | 1 | 4 | 59 | 53 | 6 | 36 | 16 | 11 | 0 | 4 | 2 | 2 | 1 | 53 | 46 | 7 | 94 | 112 | 203 | 315 | 1 | 16 | 26 | 30 | 45 | 18 | 715 | 162 | 223 | 309 | 59 | 805 | 270 | 3203 | 518 | 365 | 21 | 5.75% | 276 | 9 | 96.74% | 7 | 445 | 818 | 54.40% | 422 | 784 | 53.83% | 360 | 702 | 51.28% | 2193 | 1802 | 1538 | 381 | 653 | 327 |
| Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 7 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 43 | 5 | 11 | 19 | 8 | 77 | 24 | 192 | 13 | 31 | 2 | 6.45% | 10 | 0 | 100.00% | 0 | 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% | 119 | 100 | 55 | 20 | 32 | 16 |
| Total Séries éliminatoires | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 4 | 6 | 11 | 17 | 0 | 0 | 1 | 2 | 2 | 1 | 43 | 5 | 11 | 19 | 8 | 77 | 24 | 192 | 13 | 31 | 2 | 6.45% | 10 | 0 | 100.00% | 0 | 33 | 54 | 61.11% | 34 | 53 | 64.15% | 10 | 29 | 34.48% | 119 | 100 | 55 | 20 | 32 | 16 |
| # | 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 |
|---|
Abbotsford Canucks
Belleville Senators
Bridgeport Islanders
Charlotte Checkers
Chicago Wolves
Hartford Wolf Pack
Hershey Bears
Laval Rockets
Lehigh Valley Phantoms
Providence Bruins
Rochester Americans
Syracuse Crunch
Toronto Marlies
Utica Comets
W-B/Scranton Penguins
Bakersfield Condors
Cleveland Monsters
Colorado Eagles
Firebirds
Grand Rapids Griffins
Henderson Silver Knights
Manitoba Moose
Milwaukee Admirals
Ontario Reign
Rockford IceHogs
San Diego Gulls
San Jose Barracuda
Springfield Thunderbirds
Texas Stars
Tucson Roadrunners
