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Worchester Worchester 35-24-15, 85pts · 6th in Conference Ouest |
Worchester | |
GP: 74 | W: 35 | L: 24 | OTL: 15 | P: 85 GF: 105 | GA: 110 | PP%: 21.50% | PK%: 81.58% DG: Yves martel | Morale : 42 | Moyenne d’équipe : N/A |
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Priority | Type | Description |
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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 | Chris Wagner | X | X | 100.00 | 88 | 93 | 80 | 77 | 74 | 48 | 65 | 64 | 75 | 58 | 58 | 69 | 25 | 68 | 71 | 64 | 51 | 0 | 0 | 32 | 1 | 775,000$ | |||
2 | Brendan Lemieux | X | X | 100.00 | 87 | 99 | 47 | 73 | 80 | 50 | 59 | 62 | 34 | 56 | 59 | 58 | 75 | 66 | 67 | 61 | 51 | 0 | 0 | 27 | 1 | 800,000$ | |||
3 | Jacob MacDonald | X | 100.00 | 77 | 64 | 80 | 67 | 75 | 59 | 66 | 73 | 31 | 45 | 61 | 68 | 75 | 62 | 62 | 64 | 51 | 0 | 0 | 30 | 1 | 762,500$ | ||||
4 | Nikita Zaitsev | X | 100.00 | 83 | 45 | 88 | 80 | 72 | 68 | 62 | 65 | 25 | 50 | 48 | 73 | 25 | 69 | 69 | 61 | 51 | 0 | 0 | 31 | 1 | 4,500,000$ | ||||
5 | Derrick Pouliot | X | 100.00 | 72 | 71 | 74 | 77 | 71 | 70 | 74 | 60 | 25 | 54 | 48 | 67 | 46 | 64 | 64 | 60 | 51 | 0 | 0 | 29 | 1 | 775,000$ | ||||
6 | Philippe Myers | X | 100.00 | 77 | 79 | 71 | 78 | 79 | 74 | 80 | 53 | 25 | 46 | 41 | 67 | 39 | 60 | 60 | 56 | 51 | 0 | 0 | 26 | 1 | 1,400,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 81 | 75 | 73 | 75 | 75 | 62 | 68 | 63 | 36 | 52 | 53 | 67 | 48 | 65 | 66 | 61 | 51 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 |
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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 | 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 |
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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 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 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 |
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Brendan Lemieux | Worchester (SJS) | LW/RW | 27 | 1996-03-15 | No | 213 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Chris Wagner | Worchester (SJS) | C/RW | 32 | 1991-05-26 | No | 198 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Derrick Pouliot | Worchester (SJS) | D | 29 | 1994-01-16 | No | 196 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Jacob MacDonald | Worchester (SJS) | D | 30 | 1993-02-26 | No | 205 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 762,500$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Nikita Zaitsev | Worchester (SJS) | D | 31 | 1991-10-29 | No | 194 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 4,500,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Philippe Myers | Worchester (SJS) | D | 26 | 1997-01-25 | No | 209 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 1,400,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
6 | 29.17 | 203 Lbs | 6 ft1 | 1.00 | 1,502,083$ |
Attaque à 5 contre 5 | |||||||
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Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 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 | |||||||||||
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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 | ||||
---|---|---|---|---|
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 | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | Albany | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 14 | 35 | 44 | 15 | 21 | 156 | 302 | 377 | 58 | 29 | 7 | 185 | 13 | 9 | 3 | 33.33% | 15 | 3 | 80.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
2 | Binghamton | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 3 | 5 | 8 | 0 | 1 | 14 | 35 | 44 | 15 | 32 | 156 | 302 | 377 | 58 | 29 | 11 | 98 | 7 | 8 | 2 | 25.00% | 9 | 1 | 88.89% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
3 | Bridgeport | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 14 | 35 | 44 | 15 | 21 | 156 | 302 | 377 | 58 | 28 | 7 | 82 | 9 | 10 | 2 | 20.00% | 11 | 4 | 63.64% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
4 | Charlotte Checkers | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 2 | 4 | 1 | 0 | 14 | 35 | 44 | 15 | 21 | 156 | 302 | 377 | 58 | 38 | 12 | 163 | 7 | 2 | 1 | 50.00% | 15 | 2 | 86.67% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
5 | Chicago | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 0 | 14 | 35 | 44 | 15 | 20 | 156 | 302 | 377 | 58 | 30 | 7 | 34 | 14 | 8 | 4 | 50.00% | 7 | 1 | 85.71% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
6 | Chicago Wolf | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 14 | 35 | 44 | 15 | 32 | 156 | 302 | 377 | 58 | 24 | 8 | 49 | 13 | 9 | 2 | 22.22% | 7 | 1 | 85.71% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
7 | Grand Rapids | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 4 | 0.667 | 5 | 10 | 15 | 0 | 1 | 14 | 35 | 44 | 15 | 36 | 156 | 302 | 377 | 58 | 38 | 11 | 121 | 11 | 18 | 4 | 22.22% | 13 | 2 | 84.62% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
8 | Hamilton | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | -2 | 1 | 0.167 | 2 | 4 | 6 | 0 | 0 | 14 | 35 | 44 | 15 | 35 | 156 | 302 | 377 | 58 | 36 | 11 | 64 | 14 | 13 | 2 | 15.38% | 12 | 1 | 91.67% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
9 | Hartford | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 3 | 6 | 9 | 0 | 2 | 14 | 35 | 44 | 15 | 25 | 156 | 302 | 377 | 58 | 31 | 4 | 41 | 18 | 7 | 1 | 14.29% | 8 | 0 | 100.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
10 | Hersey | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 4 | 3 | 1 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 5 | 0.625 | 4 | 8 | 12 | 0 | 1 | 14 | 35 | 44 | 15 | 43 | 156 | 302 | 377 | 58 | 50 | 11 | 164 | 33 | 13 | 2 | 15.38% | 17 | 2 | 88.24% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
11 | Hershey | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 4 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0.250 | 2 | 4 | 6 | 0 | 0 | 14 | 35 | 44 | 15 | 25 | 156 | 302 | 377 | 58 | 31 | 4 | 153 | 17 | 9 | 2 | 22.22% | 14 | 2 | 85.71% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
12 | Houston | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 2 | 3 | 5 | 0 | 0 | 14 | 35 | 44 | 15 | 28 | 156 | 302 | 377 | 58 | 24 | 8 | 23 | 10 | 7 | 1 | 14.29% | 9 | 4 | 55.56% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
13 | Iowa | 4 | 1 | 1 | 0 | 1 | 1 | 0 | 0 | 6 | 8 | -2 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 5 | 0.625 | 6 | 12 | 18 | 0 | 0 | 14 | 35 | 44 | 15 | 50 | 156 | 302 | 377 | 58 | 44 | 18 | 126 | 22 | 17 | 3 | 17.65% | 14 | 3 | 78.57% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
14 | Lake Erie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 14 | 35 | 44 | 15 | 32 | 156 | 302 | 377 | 58 | 41 | 21 | 88 | 7 | 10 | 3 | 30.00% | 9 | 5 | 44.44% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
15 | Lowell | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 6 | 10 | 0 | 0 | 14 | 35 | 44 | 15 | 29 | 156 | 302 | 377 | 58 | 29 | 10 | 39 | 8 | 6 | 3 | 50.00% | 7 | 2 | 71.43% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
16 | Manchester | 4 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 3 | 3 | 0 | 2 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 6 | 0.750 | 3 | 4 | 7 | 0 | 2 | 14 | 35 | 44 | 15 | 35 | 156 | 302 | 377 | 58 | 48 | 15 | 137 | 31 | 11 | 1 | 9.09% | 17 | 1 | 94.12% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
17 | Manitoba | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 3 | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 6 | 1.000 | 7 | 13 | 20 | 0 | 1 | 14 | 35 | 44 | 15 | 40 | 156 | 302 | 377 | 58 | 27 | 8 | 176 | 16 | 12 | 4 | 33.33% | 13 | 3 | 76.92% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
18 | Milwaukee | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 14 | 35 | 44 | 15 | 26 | 156 | 302 | 377 | 58 | 22 | 4 | 80 | 10 | 9 | 3 | 33.33% | 10 | 2 | 80.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
19 | Norfolk | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 14 | 35 | 44 | 15 | 18 | 156 | 302 | 377 | 58 | 37 | 13 | 98 | 7 | 6 | 2 | 33.33% | 14 | 3 | 78.57% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
20 | Peroria | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 14 | 35 | 44 | 15 | 20 | 156 | 302 | 377 | 58 | 38 | 8 | 47 | 8 | 7 | 1 | 14.29% | 16 | 2 | 87.50% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
21 | Philadelphie | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 3 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 2 | 0.500 | 1 | 1 | 2 | 0 | 0 | 14 | 35 | 44 | 15 | 34 | 156 | 302 | 377 | 58 | 30 | 9 | 90 | 12 | 8 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
22 | Portland | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 4 | 6 | -2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 3 | 0.375 | 4 | 8 | 12 | 0 | 1 | 14 | 35 | 44 | 15 | 47 | 156 | 302 | 377 | 58 | 47 | 20 | 79 | 22 | 20 | 2 | 10.00% | 17 | 2 | 88.24% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
23 | Providence | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 14 | 35 | 44 | 15 | 17 | 156 | 302 | 377 | 58 | 19 | 6 | 82 | 20 | 10 | 1 | 10.00% | 6 | 1 | 83.33% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
24 | Quad City | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 14 | 35 | 44 | 15 | 33 | 156 | 302 | 377 | 58 | 38 | 6 | 110 | 10 | 20 | 5 | 25.00% | 10 | 2 | 80.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
25 | Rochester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 5 | 9 | 14 | 0 | 1 | 14 | 35 | 44 | 15 | 34 | 156 | 302 | 377 | 58 | 22 | 7 | 127 | 7 | 7 | 2 | 28.57% | 6 | 0 | 100.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
26 | Rochester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 3 | 5 | 8 | 0 | 1 | 14 | 35 | 44 | 15 | 14 | 156 | 302 | 377 | 58 | 22 | 4 | 70 | 11 | 10 | 3 | 30.00% | 15 | 2 | 86.67% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
27 | Rockford Icehogs | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 14 | 35 | 44 | 15 | 22 | 156 | 302 | 377 | 58 | 23 | 8 | 122 | 11 | 6 | 1 | 16.67% | 11 | 4 | 63.64% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
28 | Springfield | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 14 | 35 | 44 | 15 | 28 | 156 | 302 | 377 | 58 | 59 | 21 | 148 | 11 | 14 | 2 | 14.29% | 9 | 5 | 44.44% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
29 | Syracuse | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 14 | 35 | 44 | 15 | 23 | 156 | 302 | 377 | 58 | 21 | 4 | 20 | 9 | 10 | 2 | 20.00% | 5 | 0 | 100.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
30 | Toronto | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 14 | 35 | 44 | 15 | 12 | 156 | 302 | 377 | 58 | 24 | 5 | 80 | 11 | 4 | 2 | 50.00% | 10 | 2 | 80.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
31 | Wilkes Barre | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 14 | 35 | 44 | 15 | 23 | 156 | 302 | 377 | 58 | 27 | 7 | 90 | 13 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
Total | 74 | 23 | 24 | 0 | 8 | 13 | 4 | 2 | 105 | 110 | -5 | 37 | 12 | 10 | 0 | 6 | 7 | 1 | 1 | 55 | 50 | 5 | 37 | 11 | 14 | 0 | 2 | 6 | 3 | 1 | 50 | 60 | -10 | 85 | 0.574 | 105 | 193 | 298 | 1 | 15 | 14 | 35 | 44 | 15 | 876 | 156 | 302 | 377 | 58 | 1006 | 295 | 2986 | 412 | 307 | 66 | 21.50% | 342 | 63 | 81.58% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 | |
_Since Last GM Reset | 74 | 23 | 24 | 0 | 8 | 13 | 4 | 2 | 105 | 110 | -5 | 37 | 12 | 10 | 0 | 6 | 7 | 1 | 1 | 55 | 50 | 5 | 37 | 11 | 14 | 0 | 2 | 6 | 3 | 1 | 50 | 60 | -10 | 85 | 0.574 | 105 | 193 | 298 | 1 | 15 | 14 | 35 | 44 | 15 | 876 | 156 | 302 | 377 | 58 | 1006 | 295 | 2986 | 412 | 307 | 66 | 21.50% | 342 | 63 | 81.58% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 | |
_Vs Conference | 41 | 11 | 13 | 0 | 6 | 8 | 3 | 0 | 59 | 67 | -8 | 21 | 5 | 7 | 0 | 4 | 4 | 1 | 0 | 31 | 34 | -3 | 20 | 6 | 6 | 0 | 2 | 4 | 2 | 0 | 28 | 33 | -5 | 48 | 0.585 | 59 | 108 | 167 | 1 | 7 | 14 | 35 | 44 | 15 | 484 | 156 | 302 | 377 | 58 | 558 | 175 | 1604 | 218 | 176 | 35 | 19.89% | 185 | 39 | 78.92% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 | |
_Vs Division | 20 | 2 | 4 | 0 | 4 | 5 | 1 | 0 | 30 | 26 | 4 | 11 | 0 | 1 | 0 | 3 | 3 | 1 | 0 | 16 | 14 | 2 | 9 | 2 | 3 | 0 | 1 | 2 | 0 | 0 | 14 | 12 | 2 | 19 | 0.475 | 30 | 52 | 82 | 1 | 5 | 14 | 35 | 44 | 15 | 236 | 156 | 302 | 377 | 58 | 281 | 90 | 862 | 110 | 88 | 17 | 19.32% | 88 | 16 | 81.82% | 0 | 483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% | 1810 | 1302 | 1814 | 515 | 892 | 437 |
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 |
74 | 85 | L1 | 105 | 193 | 298 | 876 | 1006 | 295 | 2986 | 412 | 1 | 15 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 23 | 24 | 8 | 13 | 4 | 2 | 105 | 110 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 12 | 10 | 6 | 7 | 1 | 1 | 55 | 50 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 11 | 14 | 2 | 6 | 3 | 1 | 50 | 60 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 5 | 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 |
---|---|---|---|---|---|---|
307 | 66 | 21.50% | 342 | 63 | 81.58% | 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 |
---|---|---|---|---|---|---|---|
156 | 302 | 377 | 58 | 14 | 35 | 44 | 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 |
483 | 908 | 53.19% | 485 | 1002 | 48.40% | 431 | 935 | 46.10% |
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 |
1810 | 1302 | 1814 | 515 | 892 | 437 |
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 | 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 |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
9,080,841$ | 9,012,500$ | 9,012,500$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 9,080,841$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 68,277$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|