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Syracuse Syracuse 32-31-11, 75pts · 14th in Conference Ouest |
Syracuse | |
GP: 74 | W: 32 | L: 31 | OTL: 11 | P: 75 GF: 100 | GA: 127 | PP%: 18.42% | PK%: 78.07% DG: Eric Beausoleil | Morale : 38 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brendan Brisson (R) | X | X | X | 100.00 | 73 | 42 | 95 | 67 | 64 | 62 | 78 | 70 | 46 | 79 | 64 | 66 | 25 | 45 | 45 | 69 | 68 | 0 | 0 | 21 | 2 | 925,000$ | ||
2 | Fraser Minten (R) | X | X | 100.00 | 80 | 72 | 99 | 64 | 72 | 47 | 48 | 44 | 55 | 38 | 44 | 62 | 42 | 44 | 44 | 52 | 68 | 0 | 0 | 19 | 3 | 845,833$ | |||
3 | Akil Thomas | X | 100.00 | 69 | 64 | 82 | 74 | 64 | 60 | 60 | 63 | 79 | 58 | 64 | 61 | 61 | 44 | 44 | 63 | 68 | 0 | 0 | 23 | 1 | 775,000$ | ||||
4 | Cameron Butler (R) | X | 100.00 | 73 | 77 | 63 | 64 | 77 | 60 | 64 | 48 | 50 | 46 | 45 | 60 | 43 | 44 | 44 | 53 | 68 | 0 | 0 | 21 | 3 | 858,333$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Patrick Maroon | X | X | 100.00 | 81 | 99 | 68 | 68 | 88 | 63 | 83 | 71 | 37 | 69 | 58 | 66 | 25 | 79 | 87 | 65 | 20 | 0 | 0 | 35 | 1 | 1,000,000$ | |||
2 | Carson Meyer | X | 100.00 | 91 | 45 | 95 | 64 | 66 | 53 | 74 | 65 | 25 | 57 | 58 | 67 | 25 | 46 | 46 | 64 | 20 | 0 | 0 | 26 | 1 | 775,000$ | ||||
3 | Vinni Lettieri | X | X | 100.00 | 77 | 43 | 84 | 69 | 69 | 54 | 68 | 68 | 50 | 59 | 60 | 69 | 25 | 58 | 58 | 64 | 20 | 0 | 0 | 28 | 2 | 775,000$ | |||
MOYENNE D’ÉQUIPE | 100.00 | 78 | 63 | 84 | 67 | 71 | 57 | 68 | 61 | 49 | 58 | 56 | 64 | 35 | 51 | 53 | 61 | 47 | 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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Akil Thomas | Syracuse (CBJ) | C | 23 | 2000-01-02 | No | 176 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien | ||||||||||
Brendan Brisson | Syracuse (CBJ) | C/LW/RW | 21 | 2001-10-22 | Yes | 178 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | |||||||||
Cameron Butler | Syracuse (CBJ) | RW | 21 | 2002-06-09 | Yes | 202 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 858,333$ | 0$ | 0$ | No | 858,333$ | 858,333$ | Lien | ||||||||
Carson Meyer | Syracuse (CBJ) | RW | 26 | 1997-08-18 | No | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Fraser Minten | Syracuse (CBJ) | C/LW | 19 | 2004-07-05 | Yes | 191 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 845,833$ | 0$ | 0$ | No | 845,833$ | 845,833$ | Lien | ||||||||
Patrick Maroon | Syracuse (CBJ) | LW/RW | 35 | 1988-04-23 | No | 236 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 0$ | 0$ | No | Lien | ||||||||||
Vinni Lettieri | Syracuse (CBJ) | C/RW | 28 | 1995-02-06 | No | 191 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
7 | 24.71 | 193 Lbs | 6 ft1 | 1.86 | 850,595$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
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 | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
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 | 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 | 17 | 26 | 42 | 17 | 32 | 181 | 311 | 371 | 61 | 21 | 9 | 103 | 8 | 4 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
2 | Binghamton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 17 | 26 | 42 | 17 | 25 | 181 | 311 | 371 | 61 | 29 | 10 | 63 | 11 | 11 | 1 | 9.09% | 9 | 1 | 88.89% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
3 | Bridgeport | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 3 | 4 | 7 | 0 | 0 | 17 | 26 | 42 | 17 | 20 | 181 | 311 | 371 | 61 | 34 | 9 | 48 | 11 | 5 | 0 | 0.00% | 10 | 1 | 90.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
4 | Charlotte Checkers | 4 | 0 | 2 | 0 | 1 | 1 | 0 | 0 | 5 | 8 | -3 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 3 | 6 | -3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 3 | 0.375 | 5 | 10 | 15 | 0 | 1 | 17 | 26 | 42 | 17 | 56 | 181 | 311 | 371 | 61 | 39 | 12 | 192 | 18 | 10 | 2 | 20.00% | 16 | 7 | 56.25% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
5 | Chicago | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 2 | 0.500 | 3 | 5 | 8 | 0 | 0 | 17 | 26 | 42 | 17 | 19 | 181 | 311 | 371 | 61 | 30 | 10 | 80 | 7 | 5 | 2 | 40.00% | 10 | 2 | 80.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
6 | Chicago Wolf | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 17 | 26 | 42 | 17 | 26 | 181 | 311 | 371 | 61 | 32 | 10 | 77 | 8 | 10 | 2 | 20.00% | 6 | 2 | 66.67% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
7 | Grand Rapids | 4 | 1 | 1 | 0 | 0 | 1 | 0 | 1 | 4 | 7 | -3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | -3 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 4 | 0 | 4 | 0.500 | 4 | 8 | 12 | 0 | 1 | 17 | 26 | 42 | 17 | 41 | 181 | 311 | 371 | 61 | 48 | 15 | 232 | 33 | 14 | 2 | 14.29% | 16 | 4 | 75.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
8 | Hamilton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 17 | 26 | 42 | 17 | 16 | 181 | 311 | 371 | 61 | 22 | 5 | 97 | 14 | 10 | 2 | 20.00% | 5 | 2 | 60.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
9 | Hartford | 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 | 17 | 26 | 42 | 17 | 26 | 181 | 311 | 371 | 61 | 21 | 6 | 71 | 13 | 8 | 0 | 0.00% | 8 | 1 | 87.50% | 1 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
10 | Hersey | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 4 | 0.667 | 5 | 10 | 15 | 0 | 1 | 17 | 26 | 42 | 17 | 41 | 181 | 311 | 371 | 61 | 32 | 12 | 56 | 13 | 11 | 2 | 18.18% | 8 | 2 | 75.00% | 1 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
11 | Hershey | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 17 | 26 | 42 | 17 | 24 | 181 | 311 | 371 | 61 | 30 | 8 | 98 | 10 | 6 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
12 | Houston | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 1 | 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 | 17 | 26 | 42 | 17 | 19 | 181 | 311 | 371 | 61 | 30 | 6 | 111 | 18 | 7 | 2 | 28.57% | 8 | 1 | 87.50% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
13 | Iowa | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 4 | 5 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 4 | 6 | 10 | 0 | 0 | 17 | 26 | 42 | 17 | 28 | 181 | 311 | 371 | 61 | 23 | 9 | 78 | 12 | 11 | 3 | 27.27% | 9 | 3 | 66.67% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
14 | Lake Erie | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 17 | 26 | 42 | 17 | 30 | 181 | 311 | 371 | 61 | 52 | 18 | 201 | 11 | 13 | 2 | 15.38% | 13 | 4 | 69.23% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
15 | Lowell | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 17 | 26 | 42 | 17 | 18 | 181 | 311 | 371 | 61 | 26 | 15 | 78 | 13 | 7 | 2 | 28.57% | 9 | 1 | 88.89% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
16 | Manchester | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0.250 | 1 | 1 | 2 | 0 | 0 | 17 | 26 | 42 | 17 | 21 | 181 | 311 | 371 | 61 | 17 | 9 | 50 | 11 | 12 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
17 | Manitoba | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 17 | 26 | 42 | 17 | 21 | 181 | 311 | 371 | 61 | 34 | 8 | 34 | 7 | 5 | 1 | 20.00% | 7 | 0 | 100.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
18 | Milwaukee | 4 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 7 | 4 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 1 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 6 | 0.750 | 7 | 12 | 19 | 0 | 2 | 17 | 26 | 42 | 17 | 47 | 181 | 311 | 371 | 61 | 47 | 14 | 243 | 33 | 15 | 5 | 33.33% | 14 | 3 | 78.57% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
19 | Norfolk | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0.750 | 1 | 2 | 3 | 0 | 1 | 17 | 26 | 42 | 17 | 36 | 181 | 311 | 371 | 61 | 19 | 12 | 47 | 11 | 11 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
20 | Peroria | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 8 | -4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 6 | -5 | 3 | 0.375 | 4 | 8 | 12 | 0 | 0 | 17 | 26 | 42 | 17 | 45 | 181 | 311 | 371 | 61 | 56 | 16 | 198 | 25 | 19 | 2 | 10.53% | 14 | 4 | 71.43% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
21 | Philadelphie | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 4 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0.500 | 5 | 10 | 15 | 0 | 0 | 17 | 26 | 42 | 17 | 20 | 181 | 311 | 371 | 61 | 31 | 8 | 52 | 10 | 8 | 3 | 37.50% | 6 | 3 | 50.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
22 | Portland | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0.250 | 1 | 2 | 3 | 0 | 0 | 17 | 26 | 42 | 17 | 30 | 181 | 311 | 371 | 61 | 34 | 4 | 103 | 7 | 11 | 1 | 9.09% | 9 | 2 | 77.78% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
23 | Providence | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 4 | 0.667 | 6 | 11 | 17 | 0 | 0 | 17 | 26 | 42 | 17 | 37 | 181 | 311 | 371 | 61 | 37 | 9 | 162 | 14 | 11 | 4 | 36.36% | 16 | 3 | 81.25% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
24 | Quad City | 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 | 17 | 26 | 42 | 17 | 25 | 181 | 311 | 371 | 61 | 27 | 4 | 168 | 14 | 7 | 1 | 14.29% | 9 | 2 | 77.78% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
25 | Rochester | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 0.750 | 2 | 4 | 6 | 0 | 1 | 17 | 26 | 42 | 17 | 26 | 181 | 311 | 371 | 61 | 29 | 5 | 95 | 17 | 7 | 0 | 0.00% | 10 | 0 | 100.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
26 | Rochester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 1 | 6 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 1.000 | 7 | 14 | 21 | 0 | 1 | 17 | 26 | 42 | 17 | 23 | 181 | 311 | 371 | 61 | 31 | 8 | 128 | 11 | 9 | 6 | 66.67% | 9 | 0 | 100.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
27 | Rockford Icehogs | 4 | 0 | 1 | 0 | 1 | 0 | 1 | 1 | 5 | 5 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | 2 | 0 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 3 | 0 | 5 | 0.625 | 5 | 8 | 13 | 0 | 0 | 17 | 26 | 42 | 17 | 48 | 181 | 311 | 371 | 61 | 46 | 17 | 151 | 24 | 21 | 3 | 14.29% | 13 | 3 | 76.92% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
28 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 17 | 26 | 42 | 17 | 29 | 181 | 311 | 371 | 61 | 70 | 24 | 91 | 10 | 7 | 3 | 42.86% | 13 | 8 | 38.46% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
29 | Toronto | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 3 | 6 | 9 | 0 | 2 | 17 | 26 | 42 | 17 | 32 | 181 | 311 | 371 | 61 | 13 | 2 | 67 | 13 | 11 | 2 | 18.18% | 1 | 0 | 100.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
30 | Wilkes Barre | 2 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 4 | 4 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 1 | 17 | 26 | 42 | 17 | 18 | 181 | 311 | 371 | 61 | 28 | 8 | 33 | 7 | 13 | 3 | 23.08% | 9 | 2 | 77.78% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
31 | Worchester | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 2 | 0.500 | 2 | 3 | 5 | 0 | 1 | 17 | 26 | 42 | 17 | 21 | 181 | 311 | 371 | 61 | 23 | 3 | 30 | 13 | 5 | 0 | 0.00% | 10 | 2 | 80.00% | 0 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
Total | 74 | 17 | 31 | 0 | 11 | 7 | 4 | 4 | 100 | 127 | -27 | 37 | 10 | 11 | 0 | 5 | 4 | 4 | 3 | 52 | 59 | -7 | 37 | 7 | 20 | 0 | 6 | 3 | 0 | 1 | 48 | 68 | -20 | 75 | 0.507 | 100 | 186 | 286 | 0 | 16 | 17 | 26 | 42 | 17 | 900 | 181 | 311 | 371 | 61 | 1011 | 305 | 3237 | 427 | 304 | 56 | 18.42% | 301 | 66 | 78.07% | 2 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 | |
_Since Last GM Reset | 74 | 17 | 31 | 0 | 11 | 7 | 4 | 4 | 100 | 127 | -27 | 37 | 10 | 11 | 0 | 5 | 4 | 4 | 3 | 52 | 59 | -7 | 37 | 7 | 20 | 0 | 6 | 3 | 0 | 1 | 48 | 68 | -20 | 75 | 0.507 | 100 | 186 | 286 | 0 | 16 | 17 | 26 | 42 | 17 | 900 | 181 | 311 | 371 | 61 | 1011 | 305 | 3237 | 427 | 304 | 56 | 18.42% | 301 | 66 | 78.07% | 2 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 | |
_Vs Conference | 41 | 6 | 20 | 0 | 4 | 4 | 3 | 4 | 51 | 82 | -31 | 21 | 3 | 8 | 0 | 2 | 2 | 3 | 3 | 28 | 42 | -14 | 20 | 3 | 12 | 0 | 2 | 2 | 0 | 1 | 23 | 40 | -17 | 34 | 0.415 | 51 | 93 | 144 | 0 | 6 | 17 | 26 | 42 | 17 | 502 | 181 | 311 | 371 | 61 | 578 | 171 | 1938 | 249 | 168 | 29 | 17.26% | 169 | 45 | 73.37% | 1 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 | |
_Vs Division | 23 | 4 | 7 | 0 | 2 | 2 | 2 | 3 | 34 | 41 | -7 | 12 | 2 | 3 | 0 | 0 | 1 | 2 | 2 | 20 | 17 | 3 | 11 | 2 | 4 | 0 | 2 | 1 | 0 | 1 | 14 | 24 | -10 | 21 | 0.457 | 34 | 61 | 95 | 0 | 3 | 17 | 26 | 42 | 17 | 277 | 181 | 311 | 371 | 61 | 316 | 102 | 1118 | 143 | 102 | 21 | 20.59% | 89 | 22 | 75.28% | 1 | 489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% | 1792 | 1298 | 1824 | 514 | 888 | 434 |
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 | 75 | L2 | 100 | 186 | 286 | 900 | 1011 | 305 | 3237 | 427 | 0 | 16 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 17 | 31 | 11 | 7 | 4 | 4 | 100 | 127 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 10 | 11 | 5 | 4 | 4 | 3 | 52 | 59 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 7 | 20 | 6 | 3 | 0 | 1 | 48 | 68 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 4 | 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 |
---|---|---|---|---|---|---|
304 | 56 | 18.42% | 301 | 66 | 78.07% | 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 |
---|---|---|---|---|---|---|---|
181 | 311 | 371 | 61 | 17 | 26 | 42 | 17 |
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 |
489 | 940 | 52.02% | 476 | 970 | 49.07% | 479 | 975 | 49.13% |
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 |
1792 | 1298 | 1824 | 514 | 888 | 434 |
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 |
7,364,967$ | 5,954,166$ | 5,954,166$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 7,364,967$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 45,107$ | 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 |
---|