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Charlotte Charlotte Checkers 28-34-12, 68pts · 15th in Conference Ouest |
Charlotte Checkers | |
GP: 74 | W: 28 | L: 34 | OTL: 12 | P: 68 GF: 94 | GA: 127 | PP%: 19.14% | PK%: 78.60% DG: Simon Therrien | Morale : 19 | 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 | Josh Doan (R) | X | 100.00 | 67 | 42 | 99 | 74 | 68 | 62 | 61 | 67 | 41 | 78 | 80 | 74 | 25 | 45 | 45 | 80 | 68 | 0 | 0 | 21 | 3 | 925,000$ | ||||
2 | Joshua Norris | X | 100.00 | 82 | 45 | 86 | 80 | 72 | 76 | 52 | 89 | 90 | 73 | 83 | 69 | 70 | 61 | 61 | 79 | 71 | 0 | 0 | 24 | 7 | 7,950,000$ | ||||
3 | Brennan Othmann (R) | X | 100.00 | 67 | 64 | 73 | 76 | 64 | 69 | 71 | 62 | 50 | 60 | 60 | 60 | 57 | 44 | 44 | 63 | 68 | 0 | 0 | 20 | 3 | 863,333$ | ||||
4 | Kevin Korchinski (R) | X | 100.00 | 61 | 41 | 91 | 84 | 70 | 78 | 75 | 75 | 25 | 50 | 49 | 66 | 25 | 54 | 54 | 62 | 68 | 0 | 0 | 19 | 3 | 918,333$ | ||||
5 | Cale Fleury | X | 100.00 | 79 | 75 | 89 | 74 | 75 | 57 | 58 | 55 | 25 | 50 | 43 | 66 | 41 | 51 | 51 | 57 | 68 | 0 | 0 | 24 | 2 | 800,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 71 | 53 | 88 | 78 | 70 | 68 | 63 | 70 | 46 | 62 | 63 | 67 | 44 | 51 | 51 | 68 | 69 | 0 |
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 gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
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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 |
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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 | 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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Brennan Othmann | Charlotte Checkers (SEA) | LW | 20 | 2003-01-05 | Yes | 174 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | Lien | ||||||||
Cale Fleury | Charlotte Checkers (SEA) | D | 24 | 1998-11-18 | No | 205 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL | |||||||||
Josh Doan | Charlotte Checkers (SEA) | RW | 21 | 2002-02-01 | Yes | 183 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien | ||||||||
Joshua Norris | Charlotte Checkers (SEA) | C | 24 | 1999-05-05 | No | 198 Lbs | 6 ft1 | No | No | No | 7 | Pro & Farm | 7,950,000$ | 0$ | 0$ | No | 7,950,000$ | 7,950,000$ | 7,950,000$ | 7,950,000$ | 7,950,000$ | 7,950,000$ | Lien | ||||
Kevin Korchinski | Charlotte Checkers (SEA) | D | 19 | 2004-06-21 | Yes | 185 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 918,333$ | 0$ | 0$ | No | 918,333$ | 918,333$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
5 | 21.60 | 189 Lbs | 6 ft1 | 3.60 | 2,291,333$ |
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 | ||||
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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 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 7 | 27 | 53 | 7 | 24 | 148 | 308 | 431 | 49 | 31 | 7 | 125 | 8 | 10 | 3 | 30.00% | 10 | 2 | 80.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
2 | Binghamton | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 6 | -5 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 7 | 27 | 53 | 7 | 27 | 148 | 308 | 431 | 49 | 26 | 12 | 100 | 8 | 12 | 1 | 8.33% | 5 | 1 | 80.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
3 | Bridgeport | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 7 | 27 | 53 | 7 | 36 | 148 | 308 | 431 | 49 | 23 | 8 | 44 | 15 | 3 | 1 | 33.33% | 7 | 0 | 100.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
4 | Chicago | 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 | 7 | 27 | 53 | 7 | 21 | 148 | 308 | 431 | 49 | 23 | 9 | 61 | 9 | 13 | 2 | 15.38% | 8 | 1 | 87.50% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
5 | Chicago Wolf | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 7 | 27 | 53 | 7 | 22 | 148 | 308 | 431 | 49 | 26 | 5 | 77 | 7 | 9 | 0 | 0.00% | 11 | 2 | 81.82% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
6 | Grand Rapids | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 0.400 | 7 | 13 | 20 | 0 | 2 | 7 | 27 | 53 | 7 | 66 | 148 | 308 | 431 | 49 | 69 | 27 | 291 | 26 | 20 | 4 | 20.00% | 22 | 4 | 81.82% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
7 | Hamilton | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 7 | 27 | 53 | 7 | 23 | 148 | 308 | 431 | 49 | 31 | 6 | 110 | 13 | 7 | 1 | 14.29% | 10 | 4 | 60.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
8 | Hartford | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 0.500 | 4 | 6 | 10 | 0 | 1 | 7 | 27 | 53 | 7 | 20 | 148 | 308 | 431 | 49 | 28 | 1 | 127 | 10 | 9 | 3 | 33.33% | 6 | 1 | 83.33% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
9 | Hersey | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 7 | 27 | 53 | 7 | 22 | 148 | 308 | 431 | 49 | 22 | 7 | 26 | 13 | 13 | 3 | 23.08% | 8 | 2 | 75.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
10 | Hershey | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 5 | 5 | 0.833 | 5 | 9 | 14 | 0 | 2 | 7 | 27 | 53 | 7 | 42 | 148 | 308 | 431 | 49 | 20 | 12 | 116 | 18 | 14 | 2 | 14.29% | 8 | 0 | 100.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
11 | Houston | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 7 | 27 | 53 | 7 | 28 | 148 | 308 | 431 | 49 | 23 | 11 | 34 | 6 | 10 | 1 | 10.00% | 12 | 4 | 66.67% | 1 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
12 | Iowa | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 7 | 27 | 53 | 7 | 19 | 148 | 308 | 431 | 49 | 25 | 3 | 39 | 15 | 9 | 3 | 33.33% | 12 | 2 | 83.33% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
13 | Lake Erie | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 7 | 27 | 53 | 7 | 30 | 148 | 308 | 431 | 49 | 50 | 11 | 46 | 15 | 9 | 2 | 22.22% | 13 | 4 | 69.23% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
14 | Lowell | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 7 | 27 | 53 | 7 | 22 | 148 | 308 | 431 | 49 | 22 | 5 | 54 | 9 | 10 | 1 | 10.00% | 7 | 1 | 85.71% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
15 | Manchester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 1.000 | 6 | 11 | 17 | 0 | 0 | 7 | 27 | 53 | 7 | 30 | 148 | 308 | 431 | 49 | 20 | 8 | 74 | 18 | 14 | 3 | 21.43% | 8 | 3 | 62.50% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
16 | Manitoba | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 7 | 27 | 53 | 7 | 28 | 148 | 308 | 431 | 49 | 19 | 9 | 42 | 13 | 5 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
17 | Milwaukee | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 3 | 0.375 | 3 | 6 | 9 | 0 | 1 | 7 | 27 | 53 | 7 | 38 | 148 | 308 | 431 | 49 | 65 | 12 | 194 | 21 | 20 | 3 | 15.00% | 22 | 3 | 86.36% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
18 | Norfolk | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 7 | 27 | 53 | 7 | 32 | 148 | 308 | 431 | 49 | 26 | 11 | 158 | 14 | 8 | 1 | 12.50% | 10 | 3 | 70.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
19 | Peroria | 4 | 1 | 0 | 0 | 1 | 2 | 0 | 0 | 7 | 7 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 3 | 0 | 6 | 0.750 | 7 | 12 | 19 | 0 | 1 | 7 | 27 | 53 | 7 | 58 | 148 | 308 | 431 | 49 | 39 | 18 | 144 | 28 | 17 | 5 | 29.41% | 17 | 5 | 70.59% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
20 | Philadelphie | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 0.500 | 1 | 0 | 1 | 0 | 1 | 7 | 27 | 53 | 7 | 15 | 148 | 308 | 431 | 49 | 32 | 7 | 53 | 9 | 3 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
21 | Portland | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 5 | 5 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 5 | 8 | 13 | 0 | 0 | 7 | 27 | 53 | 7 | 26 | 148 | 308 | 431 | 49 | 31 | 7 | 63 | 10 | 10 | 1 | 10.00% | 9 | 2 | 77.78% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
22 | Providence | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 3 | 0.750 | 4 | 5 | 9 | 0 | 0 | 7 | 27 | 53 | 7 | 15 | 148 | 308 | 431 | 49 | 37 | 9 | 63 | 5 | 3 | 3 | 100.00% | 10 | 1 | 90.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
23 | Quad City | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 7 | 27 | 53 | 7 | 23 | 148 | 308 | 431 | 49 | 17 | 8 | 93 | 7 | 9 | 1 | 11.11% | 9 | 1 | 88.89% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
24 | Rochester | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 2 | 0.500 | 1 | 0 | 1 | 0 | 1 | 7 | 27 | 53 | 7 | 24 | 148 | 308 | 431 | 49 | 25 | 7 | 96 | 9 | 6 | 0 | 0.00% | 8 | 1 | 87.50% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
25 | Rochester | 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 | 5 | 8 | 0 | 0 | 7 | 27 | 53 | 7 | 29 | 148 | 308 | 431 | 49 | 27 | 6 | 34 | 15 | 11 | 2 | 18.18% | 2 | 0 | 100.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
26 | Rockford Icehogs | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 2 | 0.250 | 4 | 8 | 12 | 1 | 1 | 7 | 27 | 53 | 7 | 32 | 148 | 308 | 431 | 49 | 45 | 12 | 188 | 25 | 15 | 4 | 26.67% | 19 | 4 | 78.95% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
27 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 7 | 27 | 53 | 7 | 23 | 148 | 308 | 431 | 49 | 70 | 19 | 111 | 12 | 8 | 1 | 12.50% | 9 | 6 | 33.33% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
28 | Syracuse | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 8 | 5 | 3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 7 | 0.875 | 8 | 16 | 24 | 0 | 0 | 7 | 27 | 53 | 7 | 39 | 148 | 308 | 431 | 49 | 56 | 12 | 130 | 29 | 16 | 7 | 43.75% | 10 | 2 | 80.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
29 | Toronto | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 2 | 2 | 4 | 0 | 1 | 7 | 27 | 53 | 7 | 29 | 148 | 308 | 431 | 49 | 32 | 3 | 100 | 13 | 8 | 1 | 12.50% | 5 | 0 | 100.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
30 | Wilkes Barre | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 1 | 2 | 3 | 0 | 1 | 7 | 27 | 53 | 7 | 29 | 148 | 308 | 431 | 49 | 11 | 4 | 40 | 10 | 8 | 1 | 12.50% | 5 | 2 | 60.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
31 | Worchester | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 | 0.750 | 3 | 6 | 9 | 0 | 1 | 7 | 27 | 53 | 7 | 38 | 148 | 308 | 431 | 49 | 21 | 1 | 59 | 12 | 15 | 2 | 13.33% | 2 | 1 | 50.00% | 0 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
Total | 74 | 21 | 34 | 0 | 3 | 8 | 4 | 4 | 94 | 127 | -33 | 37 | 11 | 15 | 0 | 1 | 4 | 2 | 4 | 50 | 68 | -18 | 37 | 10 | 19 | 0 | 2 | 4 | 2 | 0 | 44 | 59 | -15 | 68 | 0.459 | 94 | 168 | 262 | 1 | 15 | 7 | 27 | 53 | 7 | 910 | 148 | 308 | 431 | 49 | 992 | 277 | 2892 | 422 | 324 | 62 | 19.14% | 299 | 64 | 78.60% | 1 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 | |
_Since Last GM Reset | 74 | 21 | 34 | 0 | 3 | 8 | 4 | 4 | 94 | 127 | -33 | 37 | 11 | 15 | 0 | 1 | 4 | 2 | 4 | 50 | 68 | -18 | 37 | 10 | 19 | 0 | 2 | 4 | 2 | 0 | 44 | 59 | -15 | 68 | 0.459 | 94 | 168 | 262 | 1 | 15 | 7 | 27 | 53 | 7 | 910 | 148 | 308 | 431 | 49 | 992 | 277 | 2892 | 422 | 324 | 62 | 19.14% | 299 | 64 | 78.60% | 1 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 | |
_Vs Conference | 41 | 14 | 18 | 0 | 2 | 4 | 1 | 2 | 61 | 76 | -15 | 21 | 7 | 8 | 0 | 0 | 3 | 1 | 2 | 33 | 41 | -8 | 20 | 7 | 10 | 0 | 2 | 1 | 0 | 0 | 28 | 35 | -7 | 40 | 0.488 | 61 | 116 | 177 | 1 | 7 | 7 | 27 | 53 | 7 | 500 | 148 | 308 | 431 | 49 | 572 | 165 | 1534 | 250 | 190 | 40 | 21.05% | 178 | 44 | 75.28% | 1 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 | |
_Vs Division | 22 | 7 | 8 | 0 | 2 | 4 | 0 | 0 | 28 | 41 | -13 | 11 | 3 | 5 | 0 | 0 | 3 | 0 | 0 | 17 | 19 | -2 | 11 | 4 | 3 | 0 | 2 | 1 | 0 | 0 | 11 | 22 | -11 | 22 | 0.500 | 28 | 54 | 82 | 1 | 4 | 7 | 27 | 53 | 7 | 248 | 148 | 308 | 431 | 49 | 292 | 83 | 732 | 132 | 106 | 23 | 21.70% | 111 | 25 | 77.48% | 1 | 508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% | 1801 | 1289 | 1803 | 507 | 895 | 444 |
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 | 68 | W2 | 94 | 168 | 262 | 910 | 992 | 277 | 2892 | 422 | 1 | 15 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 21 | 34 | 3 | 8 | 4 | 4 | 94 | 127 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 11 | 15 | 1 | 4 | 2 | 4 | 50 | 68 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 10 | 19 | 2 | 4 | 2 | 0 | 44 | 59 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 4 | 0 | 2 | 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 |
---|---|---|---|---|---|---|
324 | 62 | 19.14% | 299 | 64 | 78.60% | 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 |
---|---|---|---|---|---|---|---|
148 | 308 | 431 | 49 | 7 | 27 | 53 | 7 |
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 |
508 | 987 | 51.47% | 462 | 961 | 48.07% | 516 | 953 | 54.14% |
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 |
1801 | 1289 | 1803 | 507 | 895 | 444 |
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 |
12,294,253$ | 11,456,666$ | 11,456,666$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 12,294,253$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 86,793$ | 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 |
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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 |
---|