Wolfes | |
GP: 25 | W: 15 | L: 6 | OTL: 4 | P: 34 GF: 109 | GA: 82 | PP%: 66.67% | PK%: 50.00% DG: Adam J Forest | Morale : 82 | Moyenne d’équipe : 71 Prochains matchs #371 vs Thunderbirds |
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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 | Peyton Krebs | X | X | 100.00 | 77 | 57 | 67 | 77 | 79 | 83 | 83 | 73 | 71 | 73 | 64 | 72 | 71 | 65 | 55 | 0 | 80 | 75 | 0 | 23 | 2 | 1,450,000$ | |||
2 | Taylor Raddysh | X | 100.00 | 76 | 45 | 88 | 75 | 83 | 86 | 80 | 75 | 50 | 69 | 65 | 73 | 72 | 60 | 50 | 0 | 80 | 75 | 0 | 26 | 1 | 1,000,000$ | ||||
3 | Filip Chytil | X | X | 100.00 | 56 | 40 | 75 | 71 | 85 | 86 | 72 | 67 | 53 | 66 | 60 | 63 | 66 | 78 | 68 | 0 | 80 | 68 | 0 | 25 | 3 | 4,437,000$ | |||
4 | Liam Foudy | X | X | 100.00 | 61 | 41 | 72 | 65 | 63 | 63 | 60 | 60 | 58 | 52 | 55 | 60 | 60 | 52 | 50 | 0 | 80 | 60 | 0 | 24 | 1 | 750,000$ | |||
5 | Cale Fleury | X | 100.00 | 68 | 42 | 72 | 68 | 65 | 67 | 65 | 66 | 40 | 64 | 57 | 70 | 64 | 53 | 50 | 0 | 79 | 66 | 0 | 26 | 1 | 750,000$ | ||||
6 | Akil Thomas (R) | X | 100.00 | 60 | 44 | 66 | 71 | 62 | 66 | 64 | 65 | 45 | 63 | 62 | 60 | 66 | 52 | 50 | 0 | 80 | 64 | 0 | 24 | 1 | 750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 66 | 45 | 73 | 71 | 73 | 75 | 71 | 68 | 53 | 65 | 61 | 66 | 67 | 60 | 54 | 0 | 80 | 68 |
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 | Ilya Samsonov | 100.00 | 84 | 88 | 89 | 89 | 91 | 85 | 82 | 81 | 82 | 88 | 81 | 70 | 63 | 0 | 80 | 81 | 0 | 27 | 1 | 1,500,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 84 | 88 | 89 | 89 | 91 | 85 | 82 | 81 | 82 | 88 | 81 | 70 | 63 | 0 | 80 | 81 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Bill Peters | 71 | 77 | 76 | 75 | 84 | 78 | 63 | CAN | 58 | 2 | 500,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vincent Desharnais | Golden Knights | D | 10 | 2 | 10 | 12 | 4 | 7 | 5 | 15 | 10 | 42 | 16 | 14 | 4.76% | 7 | 218 | 21.83 | 1 | 4 | 5 | 2 | 6 | 0 | 1 | 1 | 1 | 18 | 1 | 0 | 21.83 | 1 | 4 | 20 | 0 | 0 | 1.10 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
Statistiques d’équipe totales ou en moyenne | 10 | 2 | 10 | 12 | 4 | 7 | 5 | 15 | 10 | 42 | 16 | 14 | 4.76% | 7 | 218 | 21.83 | 1 | 4 | 5 | 2 | 6 | 0 | 1 | 1 | 1 | 18 | 1 | 0 | 100.00% | 1 | 4 | 20 | 0 | 0 | 1.10 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 |
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 |
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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 | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire moyen restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Akil Thomas | Wolfes (VGS) | D | 24 | 2000-01-02 | Yes | 185 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 537,260$ | 0$ | 0$ | No | Lien NHL | |||||||||
Cale Fleury | Wolfes (VGS) | D | 26 | 1998-11-19 | No | 205 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 537,260$ | 0$ | 0$ | No | Lien NHL | |||||||||
Filip Chytil | Wolfes (VGS) | C/LW | 25 | 1999-09-05 | No | 208 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 4,437,000$ | 3,178,428$ | 0$ | 0$ | No | 4,437,000$ | 4,437,000$ | Lien NHL | |||||||
Ilya Samsonov | Wolfes (VGS) | G | 27 | 1997-02-22 | No | 217 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,074,519$ | 0$ | 0$ | No | Lien NHL | |||||||||
Liam Foudy | Wolfes (VGS) | C/LW | 24 | 2000-02-04 | No | 183 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 537,260$ | 0$ | 0$ | No | Lien NHL | |||||||||
Peyton Krebs | Wolfes (VGS) | C/LW | 23 | 2001-01-26 | No | 186 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 1,450,000$ | 1,038,702$ | 0$ | 0$ | No | 1,450,000$ | Lien NHL | ||||||||
Taylor Raddysh | Wolfes (VGS) | RW | 26 | 1998-02-18 | No | 198 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 716,346$ | 0$ | 0$ | No | Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
7 | 25.00 | 197 Lbs | 6 ft1 | 1.43 | 1,519,571$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 38 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 22 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
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Défenseurs supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
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Tirs de pénalité |
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Gardien |
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#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
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Lignes de défense personnalisées en prolongation |
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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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Barracuda | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 5 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 3 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 11 | 21 | 32 | 0 | 0 | 11 | 46 | 52 | 0 | 44 | 124 | 216 | 253 | 9 | 45 | 10 | 6 | 20 | 3 | 2 | 66.67% | 3 | 2 | 33.33% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
2 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 1 | 0 | 11 | 46 | 52 | 0 | 15 | 124 | 216 | 253 | 9 | 25 | 7 | 6 | 14 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
3 | Comets | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 3 | 10 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 2 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 13 | 22 | 35 | 0 | 0 | 11 | 46 | 52 | 0 | 58 | 124 | 216 | 253 | 9 | 35 | 9 | 2 | 20 | 6 | 3 | 50.00% | 1 | 0 | 100.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
4 | Eagles | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 12 | 10 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 6 | 3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.500 | 12 | 24 | 36 | 0 | 0 | 11 | 46 | 52 | 0 | 79 | 124 | 216 | 253 | 9 | 51 | 24 | 18 | 45 | 4 | 3 | 75.00% | 9 | 5 | 44.44% | 1 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
5 | Heat | 3 | 1 | 1 | 0 | 0 | 1 | 0 | 0 | 11 | 12 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 3 | 0.500 | 11 | 21 | 32 | 0 | 0 | 11 | 46 | 52 | 0 | 73 | 124 | 216 | 253 | 9 | 59 | 26 | 18 | 40 | 6 | 4 | 66.67% | 9 | 3 | 66.67% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
6 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 11 | 46 | 52 | 0 | 29 | 124 | 216 | 253 | 9 | 17 | 14 | 2 | 12 | 1 | 1 | 100.00% | 1 | 1 | 0.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
7 | Islanders | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 11 | 46 | 52 | 0 | 19 | 124 | 216 | 253 | 9 | 17 | 9 | 6 | 8 | 1 | 1 | 100.00% | 3 | 1 | 66.67% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
8 | Marlies | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 8 | 7 | 1 | 3 | 0.750 | 8 | 16 | 24 | 0 | 0 | 11 | 46 | 52 | 0 | 54 | 124 | 216 | 253 | 9 | 36 | 10 | 6 | 28 | 4 | 2 | 50.00% | 3 | 2 | 33.33% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
9 | Monsters | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 11 | 46 | 52 | 0 | 29 | 124 | 216 | 253 | 9 | 14 | 8 | 4 | 13 | 2 | 2 | 100.00% | 2 | 2 | 0.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
10 | Penguins | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 11 | 46 | 52 | 0 | 19 | 124 | 216 | 253 | 9 | 15 | 2 | 4 | 11 | 1 | 1 | 100.00% | 2 | 0 | 100.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
11 | Plotes | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 11 | 46 | 52 | 0 | 23 | 124 | 216 | 253 | 9 | 16 | 8 | 0 | 14 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
12 | Thunderbirds | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 7 | 7 | 0 | 3 | 0.750 | 7 | 11 | 18 | 0 | 0 | 11 | 46 | 52 | 0 | 45 | 124 | 216 | 253 | 9 | 50 | 24 | 6 | 26 | 7 | 4 | 57.14% | 3 | 2 | 33.33% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
13 | Wild | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 6 | 11 | 17 | 0 | 0 | 11 | 46 | 52 | 0 | 23 | 124 | 216 | 253 | 9 | 16 | 7 | 0 | 17 | 2 | 2 | 100.00% | 0 | 0 | 0.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
14 | Wolf Pack | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 4 | 7 | 0 | 0 | 11 | 46 | 52 | 0 | 20 | 124 | 216 | 253 | 9 | 5 | 4 | 0 | 13 | 3 | 2 | 66.67% | 0 | 0 | 0.00% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
15 | plote | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 18 | 13 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 9 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 4 | 0.667 | 18 | 36 | 54 | 0 | 0 | 11 | 46 | 52 | 0 | 72 | 124 | 216 | 253 | 9 | 114 | 45 | 18 | 46 | 9 | 6 | 66.67% | 9 | 5 | 44.44% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
Total | 25 | 15 | 6 | 0 | 0 | 4 | 0 | 0 | 109 | 82 | 27 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 57 | 32 | 25 | 14 | 7 | 3 | 0 | 0 | 4 | 0 | 0 | 52 | 50 | 2 | 34 | 0.680 | 109 | 203 | 312 | 1 | 0 | 11 | 46 | 52 | 0 | 602 | 124 | 216 | 253 | 9 | 515 | 207 | 96 | 327 | 54 | 36 | 66.67% | 48 | 24 | 50.00% | 1 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 | |
_Since Last GM Reset | 25 | 15 | 6 | 0 | 0 | 4 | 0 | 0 | 109 | 82 | 27 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 57 | 32 | 25 | 14 | 7 | 3 | 0 | 0 | 4 | 0 | 0 | 52 | 50 | 2 | 34 | 0.680 | 109 | 203 | 312 | 1 | 0 | 11 | 46 | 52 | 0 | 602 | 124 | 216 | 253 | 9 | 515 | 207 | 96 | 327 | 54 | 36 | 66.67% | 48 | 24 | 50.00% | 1 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 | |
_Vs Conference | 17 | 9 | 5 | 0 | 0 | 3 | 0 | 0 | 72 | 59 | 13 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 43 | 27 | 16 | 8 | 3 | 2 | 0 | 0 | 3 | 0 | 0 | 29 | 32 | -3 | 21 | 0.618 | 72 | 137 | 209 | 1 | 0 | 11 | 46 | 52 | 0 | 405 | 124 | 216 | 253 | 9 | 369 | 149 | 80 | 226 | 33 | 22 | 66.67% | 40 | 20 | 50.00% | 1 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 | |
_Vs Division | 10 | 9 | 4 | 0 | 0 | 3 | 0 | 0 | 53 | 33 | 20 | 6 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 36 | 21 | 15 | 4 | 3 | 1 | 0 | 0 | 3 | 0 | 0 | 17 | 12 | 5 | 21 | 1.050 | 53 | 100 | 153 | 0 | 0 | 11 | 46 | 52 | 0 | 247 | 124 | 216 | 253 | 9 | 253 | 90 | 44 | 126 | 24 | 15 | 62.50% | 22 | 10 | 54.55% | 0 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
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 |
25 | 34 | W3 | 109 | 203 | 312 | 602 | 515 | 207 | 96 | 327 | 1 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
25 | 15 | 6 | 0 | 4 | 0 | 0 | 109 | 82 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 8 | 3 | 0 | 0 | 0 | 0 | 57 | 32 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 7 | 3 | 0 | 4 | 0 | 0 | 52 | 50 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
8 | 1 | 0 | 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 |
---|---|---|---|---|---|---|
54 | 36 | 66.67% | 48 | 24 | 50.00% | 1 |
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 |
---|---|---|---|---|---|---|---|
124 | 216 | 253 | 9 | 11 | 46 | 52 | 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 |
135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% |
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 |
563 | 352 | 535 | 212 | 410 | 205 |
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 - 2024-10-04 | 6 | Wolfes | 3 | Eagles | 4 | AL | X | Sommaire du match | ||
4 - 2024-10-06 | 23 | Eagles | 5 | Wolfes | 2 | BL | Sommaire du match | |||
7 - 2024-10-09 | 37 | Wolfes | 2 | Penguins | 6 | AL | Sommaire du match | |||
9 - 2024-10-11 | 52 | Islanders | 1 | Wolfes | 3 | BW | Sommaire du match | |||
11 - 2024-10-13 | 67 | Wolfes | 5 | Comets | 1 | AW | Sommaire du match | |||
13 - 2024-10-15 | 73 | Wolfes | 3 | Marlies | 4 | AL | X | Sommaire du match | ||
15 - 2024-10-17 | 86 | Heat | 5 | Wolfes | 4 | BL | Sommaire du match | |||
19 - 2024-10-21 | 110 | Wolfes | 3 | Thunderbirds | 4 | AL | X | Sommaire du match | ||
20 - 2024-10-22 | 121 | Wild | 3 | Wolfes | 6 | BW | Sommaire du match | |||
23 - 2024-10-25 | 136 | Wolfes | 3 | Barracuda | 2 | AW | Sommaire du match | |||
25 - 2024-10-27 | 147 | Barracuda | 3 | Wolfes | 8 | BW | Sommaire du match | |||
28 - 2024-10-30 | 167 | Wolfes | 3 | Bears | 5 | AL | Sommaire du match | |||
30 - 2024-11-01 | 181 | plote | 6 | Wolfes | 5 | BL | Sommaire du match | |||
33 - 2024-11-04 | 203 | Eagles | 1 | Wolfes | 7 | BW | Sommaire du match | |||
37 - 2024-11-08 | 229 | Wolf Pack | 1 | Wolfes | 3 | BW | Sommaire du match | |||
39 - 2024-11-10 | 238 | Wolfes | 5 | plote | 4 | AW | Sommaire du match | |||
42 - 2024-11-13 | 258 | Comets | 2 | Wolfes | 8 | BW | Sommaire du match | |||
45 - 2024-11-16 | 274 | Wolfes | 5 | Monsters | 3 | AW | Sommaire du match | |||
47 - 2024-11-18 | 290 | Heat | 2 | Wolfes | 3 | BW | Sommaire du match | |||
49 - 2024-11-20 | 303 | Wolfes | 3 | IceHogs | 5 | AL | Sommaire du match | |||
51 - 2024-11-22 | 312 | Wolfes | 4 | Thunderbirds | 3 | AW | Sommaire du match | |||
53 - 2024-11-24 | 324 | Wolfes | 4 | Heat | 5 | AL | X | Sommaire du match | ||
55 - 2024-11-26 | 337 | plote | 3 | Wolfes | 8 | BW | Sommaire du match | |||
57 - 2024-11-28 | 351 | Wolfes | 5 | Marlies | 3 | AW | Sommaire du match | |||
59 - 2024-11-30 | 363 | Wolfes | 4 | Plotes | 1 | AW | Sommaire du match | |||
60 - 2024-12-01 | 371 | Thunderbirds | - | Wolfes | - | |||||
64 - 2024-12-05 | 396 | Senators | - | Wolfes | - | |||||
66 - 2024-12-07 | 412 | Wolfes | - | Barracuda | - | |||||
68 - 2024-12-09 | 425 | Wild | - | Wolfes | - | |||||
71 - 2024-12-12 | 440 | Wolfes | - | Wolf Pack | - | |||||
74 - 2024-12-15 | 456 | Plotes | - | Wolfes | - | |||||
77 - 2024-12-18 | 478 | Wolfes | - | Checkers | - | |||||
78 - 2024-12-19 | 488 | Gulls | - | Wolfes | - | |||||
81 - 2024-12-22 | 508 | Wolfes | - | Americans | - | |||||
83 - 2024-12-24 | 519 | Checkers | - | Wolfes | - | |||||
85 - 2024-12-26 | 530 | Wolfes | - | Gulls | - | |||||
87 - 2024-12-28 | 548 | Bears | - | Wolfes | - | |||||
91 - 2025-01-01 | 573 | Wolfes | - | Admirals | - | |||||
92 - 2025-01-02 | 580 | Condors | - | Wolfes | - | |||||
95 - 2025-01-05 | 596 | Wolfes | - | Wolf Pack | - | |||||
97 - 2025-01-07 | 608 | Penguins | - | Wolfes | - | |||||
100 - 2025-01-10 | 629 | Wolfes | - | Comets | - | |||||
102 - 2025-01-12 | 642 | Wolf Pack | - | Wolfes | - | |||||
105 - 2025-01-15 | 660 | Wolfes | - | Bruins | - | |||||
107 - 2025-01-17 | 673 | Crunch | - | Wolfes | - | |||||
111 - 2025-01-21 | 697 | Devils | - | Wolfes | - | |||||
113 - 2025-01-23 | 710 | Wolfes | - | Moose | - | |||||
116 - 2025-01-26 | 728 | Stars | - | Wolfes | - | |||||
119 - 2025-01-29 | 746 | Wolfes | - | Griffins | - | |||||
121 - 2025-01-31 | 758 | Islanders | - | Wolfes | - | |||||
123 - 2025-02-02 | 771 | Wolfes | - | Phantoms | - | |||||
125 - 2025-02-04 | 786 | Wolfes | - | Senators | - | |||||
127 - 2025-02-06 | 796 | Crunch | - | Wolfes | - | |||||
130 - 2025-02-09 | 818 | Americans | - | Wolfes | - | |||||
132 - 2025-02-11 | 831 | Wolfes | - | Islanders | - | |||||
135 - 2025-02-14 | 852 | Eagles | - | Wolfes | - | |||||
138 - 2025-02-17 | 872 | Wolfes | - | Penguins | - | |||||
139 - 2025-02-18 | 884 | Wolfes | - | Devils | - | |||||
140 - 2025-02-19 | 889 | Reigns | - | Wolfes | - | |||||
145 - 2025-02-24 | 914 | Phantoms | - | Wolfes | - | |||||
147 - 2025-02-26 | 929 | Wolfes | - | Stars | - | |||||
149 - 2025-02-28 | 945 | Moose | - | Wolfes | - | |||||
154 - 2025-03-05 | 971 | Monsters | - | Wolfes | - | |||||
156 - 2025-03-07 | 980 | Wolfes | - | Bears | - | |||||
158 - 2025-03-09 | 992 | Wolfes | - | Eagles | - | |||||
160 - 2025-03-11 | 1004 | Wolfes | - | Crunch | - | |||||
161 - 2025-03-12 | 1013 | Griffins | - | Wolfes | - | |||||
164 - 2025-03-15 | 1031 | Wolfes | - | Wild | - | |||||
166 - 2025-03-17 | 1042 | Wolfes | - | plote | - | |||||
167 - 2025-03-18 | 1051 | Marlies | - | Wolfes | - | |||||
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
169 - 2025-03-20 | 1065 | Wolfes | - | Reigns | - | |||||
172 - 2025-03-23 | 1080 | IceHogs | - | Wolfes | - | |||||
174 - 2025-03-25 | 1098 | Wolfes | - | Islanders | - | |||||
176 - 2025-03-27 | 1110 | Wolfes | - | Condors | - | |||||
177 - 2025-03-28 | 1115 | Admirals | - | Wolfes | - | |||||
181 - 2025-04-01 | 1141 | Bears | - | Wolfes | - | |||||
184 - 2025-04-04 | 1157 | Wolfes | - | Rocket | - | |||||
187 - 2025-04-07 | 1174 | Wolfes | - | Heat | - | |||||
188 - 2025-04-08 | 1179 | Marlies | - | Wolfes | - | |||||
192 - 2025-04-12 | 1204 | Barracuda | - | Wolfes | - | |||||
196 - 2025-04-16 | 1230 | Bruins | - | Wolfes | - | |||||
204 - 2025-04-24 | 1254 | Rocket | - | Wolfes | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 6000 | 5000 |
Prix des billets | 35 | 15 |
Assistance | 53,323 | 44,875 |
Assistance PCT | 80.79% | 81.59% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
30 | 8927 - 81.16% | 207,771$ | 2,285,486$ | 11000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
405,658$ | 1,138,700$ | 1,138,700$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 263,833$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
6,233,144$ | 149 | 7,878$ | 1,173,822$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Vincent Desharnais | 10 | 2 | 10 | 12 | 4 | 7 | 15 | 10 | 42 | 4.76% | 7 | 218 | 21.83 | 1 | 4 | 5 | 2 | 0 | 1 | 1 | 1 | 1 | 0 | 100.00 | 0 | 1.10 | 0 | 0 |
# | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2024 | 25 | 15 | 6 | 0 | 0 | 4 | 0 | 0 | 109 | 82 | 27 | 11 | 8 | 3 | 0 | 0 | 0 | 0 | 0 | 57 | 32 | 25 | 14 | 7 | 3 | 0 | 0 | 4 | 0 | 0 | 52 | 50 | 2 | 34 | 109 | 203 | 312 | 1 | 0 | 11 | 46 | 52 | 0 | 602 | 124 | 216 | 253 | 9 | 515 | 207 | 96 | 327 | 54 | 36 | 66.67% | 48 | 24 | 50.00% | 1 | 135 | 260 | 51.92% | 155 | 300 | 51.67% | 249 | 501 | 49.70% | 563 | 352 | 535 | 212 | 410 | 205 |
Total Saison régulière | 189 | 116 | 52 | 0 | 7 | 13 | 1 | 0 | 788 | 568 | 220 | 93 | 58 | 27 | 0 | 3 | 5 | 0 | 0 | 405 | 277 | 128 | 96 | 58 | 25 | 0 | 4 | 8 | 1 | 0 | 383 | 291 | 92 | 261 | 788 | 1447 | 2235 | 2 | 7 | 112 | 318 | 350 | 9 | 6421 | 1776 | 2232 | 2380 | 38 | 4773 | 1486 | 757 | 2552 | 438 | 258 | 58.90% | 370 | 149 | 59.73% | 11 | 1773 | 3094 | 57.30% | 1527 | 2770 | 55.13% | 2135 | 3663 | 58.29% | 4363 | 2716 | 3931 | 1563 | 3088 | 1586 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Séries éliminatoires | 21 | 9 | 12 | 0 | 0 | 0 | 0 | 0 | 74 | 76 | -2 | 10 | 5 | 5 | 0 | 0 | 0 | 0 | 0 | 34 | 33 | 1 | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 40 | 43 | -3 | 18 | 74 | 139 | 213 | 0 | 0 | 12 | 21 | 41 | 0 | 607 | 170 | 211 | 208 | 18 | 504 | 137 | 76 | 280 | 69 | 25 | 36.23% | 38 | 22 | 42.11% | 0 | 216 | 389 | 55.53% | 135 | 242 | 55.79% | 216 | 412 | 52.43% | 490 | 301 | 453 | 183 | 345 | 175 |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|