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Milwaukee Milwaukee 34-30-10, 78pts · 8th in Conference Ouest |
Milwaukee | |
GP: 74 | W: 34 | L: 30 | OTL: 10 | P: 78 GF: 100 | GA: 116 | PP%: 19.80% | PK%: 77.78% DG: Julien St-Amour Lavigne | Morale : 37 | 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 | Marian Studenic | X | 100.00 | 71 | 62 | 92 | 72 | 62 | 78 | 83 | 62 | 50 | 61 | 59 | 63 | 56 | 48 | 49 | 64 | 68 | 0 | 0 | 24 | 1 | 775,000$ | ||||
2 | Gavin Brindley (R) | X | 100.00 | 73 | 62 | 99 | 70 | 62 | 32 | 30 | 44 | 55 | 38 | 44 | 59 | 42 | 44 | 44 | 50 | 68 | 0 | 0 | 18 | 3 | 950,000$ | ||||
3 | Bradly Nadeau (R) | X | 100.00 | 71 | 59 | 99 | 67 | 59 | 32 | 30 | 44 | 50 | 38 | 44 | 58 | 42 | 44 | 44 | 50 | 68 | 0 | 0 | 18 | 3 | 950,000$ | ||||
4 | Tyler Pitlick | X | 100.00 | 90 | 46 | 95 | 77 | 75 | 56 | 75 | 62 | 31 | 59 | 56 | 69 | 25 | 67 | 67 | 65 | 44 | 0 | 0 | 31 | 1 | 787,500$ | ||||
5 | Emil Heineman (R) | X | 100.00 | 74 | 69 | 84 | 65 | 69 | 54 | 53 | 62 | 50 | 56 | 63 | 64 | 60 | 44 | 44 | 63 | 68 | 0 | 0 | 21 | 2 | 897,500$ | ||||
6 | Mason Shaw | X | X | 100.00 | 80 | 99 | 55 | 69 | 67 | 51 | 63 | 67 | 57 | 60 | 57 | 68 | 25 | 55 | 55 | 62 | 68 | 0 | 0 | 24 | 1 | 775,000$ | |||
7 | Joona Koppanen | X | X | 100.00 | 79 | 75 | 88 | 63 | 75 | 75 | 81 | 52 | 65 | 53 | 47 | 64 | 45 | 44 | 44 | 57 | 44 | 0 | 0 | 25 | 2 | 775,000$ | |||
8 | Tyler Angle | X | 100.00 | 69 | 62 | 84 | 63 | 62 | 67 | 70 | 56 | 70 | 50 | 57 | 60 | 54 | 44 | 44 | 59 | 68 | 0 | 0 | 23 | 1 | 850,833$ | ||||
9 | Vladislav Kolyachonok | X | 100.00 | 74 | 69 | 87 | 77 | 69 | 68 | 73 | 52 | 25 | 34 | 54 | 62 | 51 | 47 | 47 | 59 | 68 | 0 | 0 | 22 | 1 | 789,167$ | ||||
10 | Tyler Kleven (R) | X | 100.00 | 76 | 77 | 75 | 68 | 77 | 63 | 67 | 51 | 25 | 46 | 42 | 62 | 40 | 44 | 44 | 55 | 68 | 0 | 0 | 21 | 2 | 916,667$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 76 | 68 | 86 | 69 | 68 | 58 | 63 | 55 | 48 | 50 | 52 | 63 | 44 | 48 | 48 | 58 | 63 | 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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Bradly Nadeau | Milwaukee (NSH) | LW | 18 | 2005-05-05 | Yes | 160 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Lien | ||||||||
Emil Heineman | Milwaukee (NSH) | RW | 21 | 2001-11-16 | Yes | 185 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 897,500$ | 0$ | 0$ | No | 897,500$ | Lien | |||||||||
Gavin Brindley | Milwaukee (NSH) | C | 18 | 2004-10-05 | Yes | 175 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Lien | ||||||||
Joona Koppanen | Milwaukee (NSH) | C/LW | 25 | 1998-02-25 | No | 194 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 775,000$ | 0$ | 0$ | No | 775,000$ | Lien / Lien NHL | |||||||||
Marian Studenic | Milwaukee (NSH) | RW | 24 | 1998-10-28 | No | 165 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Mason Shaw | Milwaukee (NSH) | C/LW | 24 | 1998-11-02 | No | 180 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 775,000$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Tyler Angle | Milwaukee (NSH) | C | 23 | 2000-09-30 | No | 172 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 850,833$ | 0$ | 0$ | No | Lien | ||||||||||
Tyler Kleven | Milwaukee (NSH) | D | 21 | 2002-01-10 | Yes | 200 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 916,667$ | 0$ | 0$ | No | 916,667$ | Lien | |||||||||
Tyler Pitlick | Milwaukee (NSH) | RW | 31 | 1991-11-01 | No | 200 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 787,500$ | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Vladislav Kolyachonok | Milwaukee (NSH) | D | 22 | 2001-05-26 | No | 189 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 789,167$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
10 | 22.70 | 182 Lbs | 6 ft0 | 1.70 | 846,667$ |
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 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 4 | 8 | 12 | 0 | 1 | 17 | 32 | 46 | 9 | 37 | 195 | 328 | 421 | 48 | 24 | 5 | 44 | 13 | 10 | 2 | 20.00% | 7 | 2 | 71.43% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
2 | Binghamton | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 3 | 0.750 | 5 | 10 | 15 | 0 | 1 | 17 | 32 | 46 | 9 | 34 | 195 | 328 | 421 | 48 | 22 | 5 | 28 | 11 | 7 | 3 | 42.86% | 9 | 2 | 77.78% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
3 | Bridgeport | 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 | 32 | 46 | 9 | 27 | 195 | 328 | 421 | 48 | 26 | 9 | 41 | 12 | 7 | 1 | 14.29% | 3 | 1 | 66.67% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
4 | Charlotte Checkers | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 6 | 0.750 | 6 | 11 | 17 | 0 | 1 | 17 | 32 | 46 | 9 | 65 | 195 | 328 | 421 | 48 | 38 | 14 | 150 | 22 | 22 | 3 | 13.64% | 20 | 3 | 85.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
5 | Chicago | 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 | 17 | 32 | 46 | 9 | 25 | 195 | 328 | 421 | 48 | 27 | 14 | 10 | 9 | 13 | 3 | 23.08% | 5 | 1 | 80.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
6 | Chicago Wolf | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 17 | 32 | 46 | 9 | 27 | 195 | 328 | 421 | 48 | 29 | 7 | 101 | 9 | 13 | 1 | 7.69% | 8 | 0 | 100.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
7 | Grand Rapids | 4 | 1 | 2 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 4 | 0.500 | 7 | 12 | 19 | 0 | 0 | 17 | 32 | 46 | 9 | 45 | 195 | 328 | 421 | 48 | 53 | 17 | 90 | 23 | 16 | 3 | 18.75% | 30 | 7 | 76.67% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
8 | Hamilton | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 17 | 32 | 46 | 9 | 19 | 195 | 328 | 421 | 48 | 30 | 11 | 86 | 8 | 7 | 2 | 28.57% | 14 | 2 | 85.71% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
9 | Hartford | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 17 | 32 | 46 | 9 | 16 | 195 | 328 | 421 | 48 | 30 | 7 | 47 | 17 | 7 | 1 | 14.29% | 6 | 1 | 83.33% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
10 | Hersey | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0.250 | 0 | 0 | 0 | 0 | 0 | 17 | 32 | 46 | 9 | 25 | 195 | 328 | 421 | 48 | 18 | 6 | 38 | 10 | 8 | 0 | 0.00% | 9 | 0 | 100.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
11 | Hershey | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 4 | 1.000 | 3 | 6 | 9 | 0 | 2 | 17 | 32 | 46 | 9 | 28 | 195 | 328 | 421 | 48 | 15 | 2 | 118 | 8 | 13 | 3 | 23.08% | 4 | 0 | 100.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
12 | Houston | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 2 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 17 | 32 | 46 | 9 | 31 | 195 | 328 | 421 | 48 | 21 | 7 | 124 | 16 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
13 | Iowa | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 17 | 32 | 46 | 9 | 29 | 195 | 328 | 421 | 48 | 24 | 11 | 68 | 10 | 6 | 2 | 33.33% | 9 | 3 | 66.67% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
14 | Lake Erie | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 17 | 32 | 46 | 9 | 27 | 195 | 328 | 421 | 48 | 47 | 21 | 68 | 11 | 7 | 0 | 0.00% | 9 | 4 | 55.56% | 1 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
15 | Lowell | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 3 | 6 | 9 | 0 | 1 | 17 | 32 | 46 | 9 | 22 | 195 | 328 | 421 | 48 | 32 | 11 | 109 | 8 | 8 | 3 | 37.50% | 7 | 1 | 85.71% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
16 | Manchester | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 3 | 0.750 | 4 | 8 | 12 | 0 | 0 | 17 | 32 | 46 | 9 | 27 | 195 | 328 | 421 | 48 | 38 | 9 | 141 | 7 | 9 | 2 | 22.22% | 18 | 1 | 94.44% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
17 | Manitoba | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 9 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0.000 | 4 | 6 | 10 | 0 | 0 | 17 | 32 | 46 | 9 | 23 | 195 | 328 | 421 | 48 | 34 | 6 | 175 | 10 | 6 | 2 | 33.33% | 10 | 6 | 40.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
18 | Norfolk | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 1 | 17 | 32 | 46 | 9 | 28 | 195 | 328 | 421 | 48 | 26 | 5 | 95 | 12 | 14 | 2 | 14.29% | 5 | 3 | 40.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
19 | Peroria | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | 4 | 4 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 2 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 7 | 0.875 | 8 | 15 | 23 | 0 | 0 | 17 | 32 | 46 | 9 | 53 | 195 | 328 | 421 | 48 | 44 | 16 | 291 | 14 | 15 | 3 | 20.00% | 18 | 2 | 88.89% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
20 | Philadelphie | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 17 | 32 | 46 | 9 | 19 | 195 | 328 | 421 | 48 | 23 | 9 | 28 | 9 | 5 | 0 | 0.00% | 9 | 2 | 77.78% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
21 | Portland | 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 | 17 | 32 | 46 | 9 | 23 | 195 | 328 | 421 | 48 | 25 | 9 | 116 | 10 | 3 | 2 | 66.67% | 8 | 1 | 87.50% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
22 | Providence | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.333 | 2 | 4 | 6 | 0 | 0 | 17 | 32 | 46 | 9 | 33 | 195 | 328 | 421 | 48 | 42 | 16 | 63 | 17 | 14 | 2 | 14.29% | 19 | 3 | 84.21% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
23 | Quad City | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 6 | 10 | 0 | 0 | 17 | 32 | 46 | 9 | 26 | 195 | 328 | 421 | 48 | 18 | 12 | 132 | 15 | 9 | 3 | 33.33% | 6 | 1 | 83.33% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
24 | Rochester | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 3 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 17 | 32 | 46 | 9 | 23 | 195 | 328 | 421 | 48 | 29 | 13 | 29 | 16 | 8 | 2 | 25.00% | 8 | 2 | 75.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
25 | Rochester | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 7 | 11 | 0 | 1 | 17 | 32 | 46 | 9 | 20 | 195 | 328 | 421 | 48 | 26 | 13 | 96 | 14 | 8 | 2 | 25.00% | 8 | 0 | 100.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
26 | Rockford Icehogs | 4 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 6 | 0 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 2 | 4 | -2 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 5 | 0.625 | 6 | 12 | 18 | 0 | 1 | 17 | 32 | 46 | 9 | 50 | 195 | 328 | 421 | 48 | 35 | 16 | 200 | 23 | 15 | 5 | 33.33% | 10 | 2 | 80.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
27 | Springfield | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 10 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 17 | 32 | 46 | 9 | 34 | 195 | 328 | 421 | 48 | 64 | 30 | 145 | 15 | 6 | 0 | 0.00% | 10 | 7 | 30.00% | 1 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
28 | Syracuse | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 7 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | -3 | 3 | 0.375 | 4 | 8 | 12 | 0 | 0 | 17 | 32 | 46 | 9 | 47 | 195 | 328 | 421 | 48 | 47 | 14 | 245 | 21 | 14 | 3 | 21.43% | 15 | 5 | 66.67% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
29 | Toronto | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 17 | 32 | 46 | 9 | 29 | 195 | 328 | 421 | 48 | 19 | 3 | 18 | 14 | 8 | 1 | 12.50% | 4 | 1 | 75.00% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
30 | Wilkes Barre | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 4 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 4 | -3 | 3 | 0.500 | 4 | 8 | 12 | 0 | 1 | 17 | 32 | 46 | 9 | 46 | 195 | 328 | 421 | 48 | 36 | 14 | 42 | 15 | 9 | 2 | 22.22% | 11 | 2 | 81.82% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
31 | Worchester | 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 | 3 | 5 | 1 | 0 | 17 | 32 | 46 | 9 | 22 | 195 | 328 | 421 | 48 | 26 | 7 | 88 | 10 | 10 | 2 | 20.00% | 9 | 3 | 66.67% | 0 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
Total | 74 | 29 | 30 | 0 | 3 | 4 | 2 | 6 | 100 | 116 | -16 | 37 | 20 | 13 | 0 | 1 | 1 | 0 | 2 | 58 | 54 | 4 | 37 | 9 | 17 | 0 | 2 | 3 | 2 | 4 | 42 | 62 | -20 | 78 | 0.527 | 100 | 187 | 287 | 1 | 13 | 17 | 32 | 46 | 9 | 960 | 195 | 328 | 421 | 48 | 968 | 339 | 3026 | 409 | 303 | 60 | 19.80% | 315 | 70 | 77.78% | 2 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 | |
_Since Last GM Reset | 74 | 29 | 30 | 0 | 3 | 4 | 2 | 6 | 100 | 116 | -16 | 37 | 20 | 13 | 0 | 1 | 1 | 0 | 2 | 58 | 54 | 4 | 37 | 9 | 17 | 0 | 2 | 3 | 2 | 4 | 42 | 62 | -20 | 78 | 0.527 | 100 | 187 | 287 | 1 | 13 | 17 | 32 | 46 | 9 | 960 | 195 | 328 | 421 | 48 | 968 | 339 | 3026 | 409 | 303 | 60 | 19.80% | 315 | 70 | 77.78% | 2 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 | |
_Vs Conference | 40 | 14 | 16 | 0 | 3 | 3 | 1 | 3 | 57 | 70 | -13 | 20 | 9 | 8 | 0 | 1 | 1 | 0 | 1 | 30 | 32 | -2 | 20 | 5 | 8 | 0 | 2 | 2 | 1 | 2 | 27 | 38 | -11 | 42 | 0.525 | 57 | 104 | 161 | 1 | 3 | 17 | 32 | 46 | 9 | 527 | 195 | 328 | 421 | 48 | 532 | 195 | 2071 | 217 | 152 | 30 | 19.74% | 188 | 47 | 75.00% | 2 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 | |
_Vs Division | 18 | 9 | 6 | 0 | 2 | 1 | 0 | 2 | 24 | 23 | 1 | 9 | 5 | 2 | 0 | 1 | 1 | 0 | 1 | 12 | 13 | -1 | 9 | 4 | 4 | 0 | 1 | 0 | 0 | 1 | 12 | 10 | 2 | 25 | 0.694 | 24 | 45 | 69 | 0 | 3 | 17 | 32 | 46 | 9 | 240 | 195 | 328 | 421 | 48 | 216 | 91 | 799 | 93 | 70 | 13 | 18.57% | 67 | 14 | 79.10% | 1 | 468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% | 1799 | 1303 | 1819 | 499 | 877 | 435 |
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 | 78 | W1 | 100 | 187 | 287 | 960 | 968 | 339 | 3026 | 409 | 1 | 13 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
74 | 29 | 30 | 3 | 4 | 2 | 6 | 100 | 116 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 20 | 13 | 1 | 1 | 0 | 2 | 58 | 54 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
37 | 9 | 17 | 2 | 3 | 2 | 4 | 42 | 62 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
5 | 3 | 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 |
---|---|---|---|---|---|---|
303 | 60 | 19.80% | 315 | 70 | 77.78% | 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 |
---|---|---|---|---|---|---|---|
195 | 328 | 421 | 48 | 17 | 32 | 46 | 9 |
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 |
468 | 941 | 49.73% | 474 | 988 | 47.98% | 543 | 1008 | 53.87% |
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 |
1799 | 1303 | 1819 | 499 | 877 | 435 |
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 |
8,530,753$ | 8,466,667$ | 8,466,667$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 8,530,753$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 64,141$ | 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 |
---|