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Chicago Chicago Wolf 36-31-7, 79pts · 13th in Conference Est |
Chicago Wolf | |
GP: 74 | W: 36 | L: 31 | OTL: 7 | P: 79 GF: 105 | GA: 104 | PP%: 18.82% | PK%: 81.56% DG: Anthony Bourgouin | Morale : 47 | Moyenne d’équipe : N/A |
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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 |
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1 | Maxime Comtois | X | 100.00 | 71 | 78 | 56 | 72 | 78 | 77 | 81 | 64 | 50 | 59 | 62 | 67 | 59 | 63 | 63 | 65 | 68 | 0 | 0 | 24 | 1 | 775,000$ | ||||
2 | Denis Gurianov | X | X | 100.00 | 71 | 43 | 99 | 85 | 76 | 62 | 61 | 71 | 25 | 56 | 57 | 63 | 25 | 66 | 67 | 64 | 66 | 0 | 0 | 26 | 1 | 850,000$ | |||
3 | Pierre-Olivier Joseph | X | 100.00 | 73 | 43 | 91 | 74 | 70 | 66 | 82 | 63 | 25 | 52 | 48 | 74 | 25 | 60 | 60 | 62 | 68 | 0 | 0 | 24 | 1 | 825,000$ | ||||
4 | Brandt Clarke (R) | X | 100.00 | 63 | 41 | 82 | 78 | 70 | 62 | 69 | 72 | 25 | 59 | 54 | 65 | 25 | 45 | 45 | 63 | 68 | 0 | 0 | 20 | 3 | 863,333$ | ||||
5 | Haydn Fleury | X | 100.00 | 78 | 44 | 77 | 76 | 77 | 69 | 52 | 64 | 25 | 52 | 48 | 82 | 75 | 64 | 65 | 62 | 66 | 0 | 0 | 27 | 1 | 762,500$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Samuel Blais | X | 100.00 | 99 | 59 | 83 | 82 | 77 | 54 | 82 | 62 | 31 | 60 | 55 | 63 | 75 | 65 | 67 | 64 | 20 | 0 | 0 | 27 | 1 | 1,000,000$ | ||||
2 | Zachary Sanford | X | 100.00 | 71 | 43 | 92 | 77 | 78 | 57 | 77 | 66 | 53 | 66 | 55 | 67 | 25 | 67 | 69 | 64 | 20 | 0 | 0 | 29 | 1 | 800,000$ | ||||
3 | Nick Cousins | X | X | 100.00 | 84 | 64 | 74 | 77 | 67 | 62 | 91 | 66 | 51 | 61 | 59 | 67 | 55 | 72 | 75 | 66 | 20 | 0 | 0 | 30 | 1 | 1,100,000$ | |||
4 | Nicolas Aube-Kubel | X | 100.00 | 92 | 57 | 88 | 76 | 68 | 62 | 79 | 66 | 35 | 63 | 59 | 74 | 25 | 65 | 66 | 67 | 20 | 0 | 0 | 27 | 1 | 1,225,000$ | ||||
5 | Noah Gregor | X | 100.00 | 88 | 55 | 91 | 79 | 69 | 59 | 77 | 68 | 55 | 60 | 59 | 77 | 75 | 64 | 64 | 67 | 20 | 0 | 0 | 25 | 1 | 775,000$ | ||||
6 | Ethan Bear | X | 100.00 | 69 | 42 | 87 | 81 | 70 | 65 | 61 | 64 | 25 | 50 | 48 | 69 | 25 | 66 | 67 | 60 | 20 | 0 | 0 | 26 | 2 | 2,062,500$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 78 | 52 | 84 | 78 | 73 | 63 | 74 | 66 | 36 | 58 | 55 | 70 | 44 | 63 | 64 | 64 | 41 | 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 |
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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 |
---|---|---|
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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Brandt Clarke | Chicago Wolf (VGK) | D | 20 | 2003-02-09 | Yes | 185 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | Lien | ||||||||
Denis Gurianov | Chicago Wolf (VGK) | LW/RW | 26 | 1997-06-07 | No | 200 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Ethan Bear | Chicago Wolf (VGK) | D | 26 | 1997-06-26 | No | 196 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 2,062,500$ | 0$ | 0$ | No | 2,062,500$ | Lien / Lien NHL | |||||||||
Haydn Fleury | Chicago Wolf (VGK) | D | 27 | 1996-07-08 | No | 207 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 762,500$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Maxime Comtois | Chicago Wolf (VGK) | LW | 24 | 1999-08-01 | No | 214 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien | ||||||||||
Nick Cousins | Chicago Wolf (VGK) | C/LW | 30 | 1993-07-19 | No | 183 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Nicolas Aube-Kubel | Chicago Wolf (VGK) | RW | 27 | 1996-05-09 | No | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,225,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Noah Gregor | Chicago Wolf (VGK) | RW | 25 | 1998-07-28 | No | 189 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Pierre-Olivier Joseph | Chicago Wolf (VGK) | D | 24 | 1999-07-01 | No | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 825,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Samuel Blais | Chicago Wolf (VGK) | RW | 27 | 1996-06-17 | No | 205 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Lien | ||||||||||
Zachary Sanford | Chicago Wolf (VGK) | RW | 29 | 1994-09-11 | No | 207 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
11 | 25.91 | 196 Lbs | 6 ft1 | 1.27 | 1,003,485$ |
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 | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
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 | ||
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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 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 1 | 0.250 | 3 | 6 | 9 | 0 | 0 | 16 | 36 | 46 | 13 | 23 | 154 | 356 | 386 | 50 | 20 | 5 | 137 | 11 | 8 | 2 | 25.00% | 11 | 2 | 81.82% | 1 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
2 | Binghamton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 16 | 36 | 46 | 13 | 23 | 154 | 356 | 386 | 50 | 34 | 8 | 75 | 8 | 7 | 2 | 28.57% | 10 | 3 | 70.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
3 | Bridgeport | 4 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 6 | 7 | -1 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 | 5 | -3 | 2 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 4 | 2 | 2 | 5 | 0.625 | 6 | 10 | 16 | 0 | 0 | 16 | 36 | 46 | 13 | 46 | 154 | 356 | 386 | 50 | 65 | 11 | 155 | 23 | 13 | 2 | 15.38% | 15 | 5 | 66.67% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
4 | Charlotte Checkers | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 4 | 1.000 | 4 | 7 | 11 | 0 | 2 | 16 | 36 | 46 | 13 | 26 | 154 | 356 | 386 | 50 | 22 | 7 | 73 | 8 | 11 | 2 | 18.18% | 9 | 0 | 100.00% | 1 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
5 | Chicago | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 16 | 36 | 46 | 13 | 25 | 154 | 356 | 386 | 50 | 25 | 7 | 146 | 7 | 6 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
6 | Grand Rapids | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 16 | 36 | 46 | 13 | 23 | 154 | 356 | 386 | 50 | 24 | 6 | 50 | 14 | 12 | 2 | 16.67% | 10 | 4 | 60.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
7 | Hamilton | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 16 | 36 | 46 | 13 | 25 | 154 | 356 | 386 | 50 | 21 | 11 | 76 | 13 | 13 | 2 | 15.38% | 7 | 1 | 85.71% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
8 | Hartford | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 8 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 4 | 0.500 | 6 | 11 | 17 | 0 | 0 | 16 | 36 | 46 | 13 | 47 | 154 | 356 | 386 | 50 | 55 | 17 | 177 | 27 | 16 | 3 | 18.75% | 26 | 6 | 76.92% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
9 | Hersey | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 16 | 36 | 46 | 13 | 25 | 154 | 356 | 386 | 50 | 20 | 6 | 62 | 17 | 7 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
10 | Hershey | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 3 | 0.750 | 6 | 12 | 18 | 0 | 0 | 16 | 36 | 46 | 13 | 25 | 154 | 356 | 386 | 50 | 23 | 7 | 138 | 8 | 7 | 4 | 57.14% | 9 | 1 | 88.89% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
11 | Houston | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 16 | 36 | 46 | 13 | 27 | 154 | 356 | 386 | 50 | 23 | 1 | 68 | 7 | 8 | 2 | 25.00% | 4 | 0 | 100.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
12 | Iowa | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 3 | 0.750 | 3 | 6 | 9 | 0 | 0 | 16 | 36 | 46 | 13 | 29 | 154 | 356 | 386 | 50 | 24 | 4 | 94 | 12 | 9 | 1 | 11.11% | 12 | 0 | 100.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
13 | Lake Erie | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 1 | 0 | 16 | 36 | 46 | 13 | 32 | 154 | 356 | 386 | 50 | 49 | 21 | 136 | 12 | 4 | 0 | 0.00% | 8 | 3 | 62.50% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
14 | Lowell | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 4 | 0.500 | 5 | 7 | 12 | 0 | 1 | 16 | 36 | 46 | 13 | 59 | 154 | 356 | 386 | 50 | 46 | 14 | 159 | 30 | 11 | 2 | 18.18% | 17 | 4 | 76.47% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
15 | Manchester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 16 | 36 | 46 | 13 | 21 | 154 | 356 | 386 | 50 | 20 | 5 | 23 | 10 | 9 | 2 | 22.22% | 4 | 1 | 75.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
16 | Manitoba | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 16 | 36 | 46 | 13 | 31 | 154 | 356 | 386 | 50 | 23 | 8 | 22 | 13 | 6 | 0 | 0.00% | 6 | 1 | 83.33% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
17 | Milwaukee | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 1 | 16 | 36 | 46 | 13 | 29 | 154 | 356 | 386 | 50 | 27 | 5 | 161 | 16 | 8 | 0 | 0.00% | 13 | 1 | 92.31% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
18 | Norfolk | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 1 | 4 | 1.000 | 4 | 6 | 10 | 0 | 1 | 16 | 36 | 46 | 13 | 45 | 154 | 356 | 386 | 50 | 18 | 4 | 95 | 12 | 7 | 1 | 14.29% | 5 | 1 | 80.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
19 | Peroria | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 16 | 36 | 46 | 13 | 21 | 154 | 356 | 386 | 50 | 25 | 4 | 30 | 10 | 5 | 1 | 20.00% | 5 | 1 | 80.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
20 | Philadelphie | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 5 | 2 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 5 | 0.625 | 7 | 13 | 20 | 0 | 1 | 16 | 36 | 46 | 13 | 50 | 154 | 356 | 386 | 50 | 65 | 17 | 82 | 22 | 15 | 3 | 20.00% | 16 | 2 | 87.50% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
21 | Portland | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 16 | 36 | 46 | 13 | 17 | 154 | 356 | 386 | 50 | 15 | 7 | 22 | 14 | 8 | 2 | 25.00% | 6 | 1 | 83.33% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
22 | Providence | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 4 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 0 | 16 | 36 | 46 | 13 | 30 | 154 | 356 | 386 | 50 | 22 | 14 | 25 | 10 | 6 | 1 | 16.67% | 10 | 2 | 80.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
23 | Quad City | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 6 | 10 | 0 | 0 | 16 | 36 | 46 | 13 | 19 | 154 | 356 | 386 | 50 | 28 | 4 | 48 | 9 | 12 | 1 | 8.33% | 9 | 1 | 88.89% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
24 | Rochester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 1 | 16 | 36 | 46 | 13 | 21 | 154 | 356 | 386 | 50 | 25 | 5 | 130 | 17 | 7 | 2 | 28.57% | 10 | 0 | 100.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
25 | Rochester | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 4 | 0.500 | 6 | 11 | 17 | 0 | 1 | 16 | 36 | 46 | 13 | 36 | 154 | 356 | 386 | 50 | 58 | 20 | 153 | 21 | 18 | 6 | 33.33% | 19 | 1 | 94.74% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
26 | Rockford Icehogs | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 16 | 36 | 46 | 13 | 12 | 154 | 356 | 386 | 50 | 29 | 8 | 71 | 8 | 6 | 2 | 33.33% | 8 | 1 | 87.50% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
27 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 16 | 36 | 46 | 13 | 25 | 154 | 356 | 386 | 50 | 43 | 19 | 102 | 11 | 6 | 1 | 16.67% | 11 | 5 | 54.55% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
28 | Syracuse | 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 | 8 | 12 | 0 | 0 | 16 | 36 | 46 | 13 | 32 | 154 | 356 | 386 | 50 | 26 | 6 | 155 | 12 | 6 | 2 | 33.33% | 10 | 2 | 80.00% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
29 | Toronto | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 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 | 16 | 36 | 46 | 13 | 25 | 154 | 356 | 386 | 50 | 28 | 16 | 22 | 10 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
30 | Wilkes Barre | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 4 | 0.500 | 8 | 14 | 22 | 0 | 1 | 16 | 36 | 46 | 13 | 44 | 154 | 356 | 386 | 50 | 50 | 17 | 222 | 28 | 22 | 4 | 18.18% | 21 | 3 | 85.71% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
31 | Worchester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 1 | 1 | 2 | 0 | 1 | 16 | 36 | 46 | 13 | 24 | 154 | 356 | 386 | 50 | 32 | 11 | 33 | 11 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
Total | 74 | 29 | 31 | 0 | 4 | 3 | 3 | 4 | 105 | 104 | 1 | 37 | 17 | 15 | 0 | 1 | 1 | 1 | 2 | 58 | 52 | 6 | 37 | 12 | 16 | 0 | 3 | 2 | 2 | 2 | 47 | 52 | -5 | 79 | 0.534 | 105 | 194 | 299 | 1 | 15 | 16 | 36 | 46 | 13 | 917 | 154 | 356 | 386 | 50 | 985 | 295 | 2942 | 431 | 287 | 54 | 18.82% | 320 | 59 | 81.56% | 2 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 | |
_Since Last GM Reset | 74 | 29 | 31 | 0 | 4 | 3 | 3 | 4 | 105 | 104 | 1 | 37 | 17 | 15 | 0 | 1 | 1 | 1 | 2 | 58 | 52 | 6 | 37 | 12 | 16 | 0 | 3 | 2 | 2 | 2 | 47 | 52 | -5 | 79 | 0.534 | 105 | 194 | 299 | 1 | 15 | 16 | 36 | 46 | 13 | 917 | 154 | 356 | 386 | 50 | 985 | 295 | 2942 | 431 | 287 | 54 | 18.82% | 320 | 59 | 81.56% | 2 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 | |
_Vs Conference | 42 | 18 | 16 | 0 | 2 | 2 | 2 | 2 | 68 | 60 | 8 | 21 | 11 | 7 | 0 | 1 | 1 | 0 | 1 | 40 | 31 | 9 | 21 | 7 | 9 | 0 | 1 | 1 | 2 | 1 | 28 | 29 | -1 | 48 | 0.571 | 68 | 124 | 192 | 0 | 7 | 16 | 36 | 46 | 13 | 524 | 154 | 356 | 386 | 50 | 555 | 173 | 1792 | 247 | 163 | 35 | 21.47% | 190 | 34 | 82.11% | 1 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 | |
_Vs Division | 18 | 8 | 8 | 0 | 1 | 1 | 1 | 1 | 29 | 23 | 6 | 9 | 5 | 3 | 0 | 0 | 1 | 0 | 1 | 19 | 14 | 5 | 9 | 3 | 5 | 0 | 1 | 0 | 1 | 0 | 10 | 9 | 1 | 22 | 0.611 | 29 | 55 | 84 | 0 | 4 | 16 | 36 | 46 | 13 | 228 | 154 | 356 | 386 | 50 | 230 | 84 | 626 | 105 | 77 | 17 | 22.08% | 77 | 13 | 83.12% | 0 | 433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% | 1775 | 1272 | 1823 | 500 | 890 | 439 |
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 | 79 | L1 | 105 | 194 | 299 | 917 | 985 | 295 | 2942 | 431 | 1 | 15 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 29 | 31 | 4 | 3 | 3 | 4 | 105 | 104 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 17 | 15 | 1 | 1 | 1 | 2 | 58 | 52 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 12 | 16 | 3 | 2 | 2 | 2 | 47 | 52 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 4 | 0 | 0 | 0 | 2 |
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 |
---|---|---|---|---|---|---|
287 | 54 | 18.82% | 320 | 59 | 81.56% | 2 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
154 | 356 | 386 | 50 | 16 | 36 | 46 | 13 |
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 |
433 | 909 | 47.63% | 479 | 974 | 49.18% | 476 | 939 | 50.69% |
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 |
1775 | 1272 | 1823 | 500 | 890 | 439 |
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 |
9,546,138$ | 11,038,333$ | 11,038,333$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 9,546,138$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 83,624$ | 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 |
---|