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Rochester Rochester 15-15-10, 40pts · 13th in Conference Est |
Rochester | |
GP: 40 | W: 15 | L: 15 | OTL: 10 | P: 40 GF: 54 | GA: 71 | PP%: 15.15% | PK%: 78.29% DG: Michel Pepin | Morale : 31 | Moyenne d’équipe : N/A Prochains matchs #639 vs Syracuse |
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pontus Holmberg | X | X | 100.00 | 73 | 42 | 89 | 65 | 62 | 59 | 86 | 63 | 56 | 65 | 64 | 71 | 25 | 55 | 55 | 67 | 60 | 0 | 0 | 24 | 2 | 800,000$ | |||
2 | Jaret Anderson-Dolan | X | X | X | 100.00 | 83 | 44 | 93 | 79 | 67 | 58 | 60 | 62 | 42 | 60 | 56 | 67 | 25 | 58 | 59 | 63 | 60 | 0 | 0 | 24 | 1 | 775,000$ | ||
3 | Shane Bowers | X | 100.00 | 71 | 62 | 93 | 66 | 62 | 66 | 69 | 54 | 68 | 45 | 59 | 60 | 56 | 44 | 44 | 59 | 60 | 0 | 0 | 24 | 1 | 775,000$ | ||||
4 | Tyler Tucker | X | 100.00 | 90 | 99 | 57 | 65 | 79 | 59 | 66 | 63 | 25 | 43 | 48 | 73 | 25 | 49 | 49 | 59 | 60 | 0 | 0 | 23 | 2 | 800,000$ | ||||
5 | Cameron Crotty (R) | X | 100.00 | 74 | 70 | 84 | 63 | 70 | 69 | 75 | 48 | 25 | 39 | 41 | 60 | 39 | 44 | 44 | 53 | 60 | 0 | 0 | 24 | 1 | 775,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Cal Clutterbuck | X | 100.00 | 98 | 47 | 88 | 77 | 76 | 61 | 83 | 65 | 36 | 62 | 59 | 83 | 45 | 88 | 92 | 69 | 20 | 0 | 0 | 35 | 1 | 1,750,000$ | ||||
2 | Jordan Oesterle | X | 100.00 | 75 | 43 | 93 | 77 | 67 | 62 | 68 | 59 | 25 | 48 | 47 | 73 | 25 | 67 | 67 | 60 | 20 | 0 | 0 | 31 | 1 | 925,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 81 | 58 | 85 | 70 | 69 | 62 | 72 | 59 | 40 | 52 | 53 | 70 | 34 | 58 | 59 | 61 | 49 | 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 |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
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Cal Clutterbuck | Rochester (BUF) | RW | 35 | 1987-11-17 | No | 216 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,750,000$ | 848,485$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Cameron Crotty | Rochester (BUF) | D | 24 | 1999-05-05 | Yes | 183 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien | |||||||||
Jaret Anderson-Dolan | Rochester (BUF) | C/LW/RW | 24 | 1999-09-12 | No | 187 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jordan Oesterle | Rochester (BUF) | D | 31 | 1992-06-25 | No | 183 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 448,485$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Pontus Holmberg | Rochester (BUF) | C/LW | 24 | 1999-09-03 | No | 174 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 800,000$ | 387,879$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL | ||||||||
Shane Bowers | Rochester (BUF) | C | 24 | 1999-07-30 | No | 169 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 775,000$ | 375,758$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Tyler Tucker | Rochester (BUF) | D | 23 | 2000-03-01 | No | 205 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 800,000$ | 387,879$ | 0$ | 0$ | No | 800,000$ | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
7 | 26.43 | 188 Lbs | 6 ft0 | 1.29 | 942,857$ |
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 | |||||||||||
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Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
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Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
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, , , , |
Gardien |
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#1 : , #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Albany | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 3 | 4 | 1.000 | 3 | 5 | 8 | 0 | 2 | 5 | 18 | 26 | 6 | 21 | 86 | 150 | 227 | 42 | 24 | 11 | 116 | 8 | 9 | 2 | 22.22% | 8 | 0 | 100.00% | 1 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
2 | Binghamton | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 2 | 4 | 6 | 0 | 0 | 5 | 18 | 26 | 6 | 21 | 86 | 150 | 227 | 42 | 36 | 5 | 20 | 13 | 9 | 1 | 11.11% | 5 | 1 | 80.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
3 | Charlotte Checkers | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | -1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 3 | 0.750 | 2 | 3 | 5 | 0 | 1 | 5 | 18 | 26 | 6 | 25 | 86 | 150 | 227 | 42 | 24 | 9 | 92 | 13 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
4 | Chicago | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | 26 | 6 | 7 | 86 | 150 | 227 | 42 | 14 | 5 | 16 | 9 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
5 | Chicago Wolf | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 11 | 86 | 150 | 227 | 42 | 11 | 3 | 20 | 6 | 3 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
6 | Hamilton | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 4 | 0.500 | 7 | 14 | 21 | 0 | 1 | 5 | 18 | 26 | 6 | 59 | 86 | 150 | 227 | 42 | 40 | 14 | 156 | 17 | 18 | 4 | 22.22% | 13 | 2 | 84.62% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
7 | Hartford | 2 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 2 | 2 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | -1 | 2 | 0.500 | 2 | 2 | 4 | 0 | 0 | 5 | 18 | 26 | 6 | 18 | 86 | 150 | 227 | 42 | 31 | 10 | 103 | 7 | 10 | 1 | 10.00% | 8 | 2 | 75.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
8 | Hersey | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 2 | 3 | 5 | 0 | 0 | 5 | 18 | 26 | 6 | 4 | 86 | 150 | 227 | 42 | 16 | 2 | 13 | 4 | 5 | 2 | 40.00% | 4 | 1 | 75.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
9 | Hershey | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | 26 | 6 | 19 | 86 | 150 | 227 | 42 | 14 | 0 | 16 | 5 | 2 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
10 | Houston | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 11 | 86 | 150 | 227 | 42 | 14 | 1 | 102 | 4 | 4 | 1 | 25.00% | 6 | 3 | 50.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
11 | Iowa | 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 | 5 | 18 | 26 | 6 | 23 | 86 | 150 | 227 | 42 | 21 | 7 | 82 | 11 | 8 | 1 | 12.50% | 6 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
12 | Lake Erie | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 5 | 18 | 26 | 6 | 30 | 86 | 150 | 227 | 42 | 38 | 13 | 103 | 11 | 5 | 0 | 0.00% | 9 | 4 | 55.56% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
13 | Lowell | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 10 | 86 | 150 | 227 | 42 | 10 | 4 | 18 | 5 | 5 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
14 | Manchester | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 15 | 86 | 150 | 227 | 42 | 13 | 6 | 65 | 5 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
15 | Peroria | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 1 | 4 | 1.000 | 4 | 8 | 12 | 0 | 0 | 5 | 18 | 26 | 6 | 12 | 86 | 150 | 227 | 42 | 35 | 9 | 104 | 12 | 12 | 3 | 25.00% | 7 | 2 | 71.43% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
16 | Philadelphie | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 11 | 86 | 150 | 227 | 42 | 11 | 6 | 45 | 7 | 5 | 1 | 20.00% | 5 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
17 | Providence | 3 | 0 | 1 | 0 | 0 | 1 | 1 | 0 | 4 | 5 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 1 | 3 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 3 | 2 | 1 | 3 | 0.500 | 4 | 6 | 10 | 0 | 0 | 5 | 18 | 26 | 6 | 42 | 86 | 150 | 227 | 42 | 41 | 10 | 81 | 18 | 14 | 2 | 14.29% | 13 | 4 | 69.23% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
18 | Quad City | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 14 | 86 | 150 | 227 | 42 | 15 | 3 | 8 | 5 | 2 | 1 | 50.00% | 4 | 1 | 75.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
19 | Rochester | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 1 | 2 | 3 | 0 | 0 | 5 | 18 | 26 | 6 | 9 | 86 | 150 | 227 | 42 | 16 | 3 | 22 | 2 | 8 | 0 | 0.00% | 6 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
20 | Springfield | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 6 | 8 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0.250 | 6 | 11 | 17 | 0 | 0 | 5 | 18 | 26 | 6 | 36 | 86 | 150 | 227 | 42 | 72 | 28 | 28 | 20 | 9 | 1 | 11.11% | 9 | 4 | 55.56% | 1 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
21 | Syracuse | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 | 1 | 1 | 2 | 1.000 | 2 | 4 | 6 | 0 | 0 | 5 | 18 | 26 | 6 | 16 | 86 | 150 | 227 | 42 | 17 | 4 | 47 | 5 | 5 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
22 | Toronto | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 | 3 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 2 | 1 | 1 | 3 | 0.750 | 3 | 3 | 6 | 0 | 0 | 5 | 18 | 26 | 6 | 19 | 86 | 150 | 227 | 42 | 32 | 11 | 93 | 6 | 6 | 1 | 16.67% | 9 | 1 | 88.89% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
23 | Wilkes Barre | 2 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 2 | 3 | -1 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 5 | 18 | 26 | 6 | 22 | 86 | 150 | 227 | 42 | 29 | 7 | 32 | 14 | 9 | 3 | 33.33% | 6 | 2 | 66.67% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
24 | Worchester | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | -4 | 2 | 0.500 | 3 | 6 | 9 | 0 | 0 | 5 | 18 | 26 | 6 | 22 | 86 | 150 | 227 | 42 | 34 | 9 | 139 | 9 | 6 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
Total | 40 | 10 | 15 | 0 | 2 | 7 | 3 | 3 | 54 | 71 | -17 | 19 | 5 | 5 | 0 | 0 | 5 | 1 | 3 | 25 | 31 | -6 | 21 | 5 | 10 | 0 | 2 | 2 | 2 | 0 | 29 | 40 | -11 | 40 | 0.500 | 54 | 97 | 151 | 0 | 5 | 5 | 18 | 26 | 6 | 477 | 86 | 150 | 227 | 42 | 608 | 180 | 1521 | 216 | 165 | 25 | 15.15% | 152 | 33 | 78.29% | 2 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 | |
_Since Last GM Reset | 40 | 10 | 15 | 0 | 2 | 7 | 3 | 3 | 54 | 71 | -17 | 19 | 5 | 5 | 0 | 0 | 5 | 1 | 3 | 25 | 31 | -6 | 21 | 5 | 10 | 0 | 2 | 2 | 2 | 0 | 29 | 40 | -11 | 40 | 0.500 | 54 | 97 | 151 | 0 | 5 | 5 | 18 | 26 | 6 | 477 | 86 | 150 | 227 | 42 | 608 | 180 | 1521 | 216 | 165 | 25 | 15.15% | 152 | 33 | 78.29% | 2 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 | |
_Vs Conference | 23 | 4 | 9 | 0 | 0 | 5 | 3 | 2 | 28 | 39 | -11 | 11 | 1 | 4 | 0 | 0 | 3 | 1 | 2 | 11 | 18 | -7 | 12 | 3 | 5 | 0 | 0 | 2 | 2 | 0 | 17 | 21 | -4 | 21 | 0.457 | 28 | 48 | 76 | 0 | 3 | 5 | 18 | 26 | 6 | 269 | 86 | 150 | 227 | 42 | 309 | 89 | 738 | 117 | 99 | 15 | 15.15% | 88 | 15 | 82.95% | 1 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 | |
_Vs Division | 10 | 2 | 3 | 0 | 0 | 3 | 2 | 1 | 12 | 16 | -4 | 3 | 1 | 2 | 0 | 0 | 2 | 0 | 1 | 4 | 5 | -1 | 7 | 1 | 1 | 0 | 0 | 1 | 2 | 0 | 8 | 11 | -3 | 12 | 0.600 | 12 | 21 | 33 | 0 | 2 | 5 | 18 | 26 | 6 | 117 | 86 | 150 | 227 | 42 | 136 | 42 | 377 | 51 | 45 | 7 | 15.56% | 35 | 5 | 85.71% | 1 | 252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% | 994 | 721 | 967 | 271 | 483 | 241 |
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 |
40 | 40 | L1 | 54 | 97 | 151 | 477 | 608 | 180 | 1521 | 216 | 0 | 5 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
40 | 10 | 15 | 2 | 7 | 3 | 3 | 54 | 71 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 5 | 5 | 0 | 5 | 1 | 3 | 25 | 31 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
21 | 5 | 10 | 2 | 2 | 2 | 0 | 29 | 40 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 5 | 0 | 1 | 0 | 1 |
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 |
---|---|---|---|---|---|---|
165 | 25 | 15.15% | 152 | 33 | 78.29% | 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 |
---|---|---|---|---|---|---|---|
86 | 150 | 227 | 42 | 5 | 18 | 26 | 6 |
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 |
252 | 500 | 50.40% | 274 | 520 | 52.69% | 266 | 531 | 50.09% |
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 |
994 | 721 | 967 | 271 | 483 | 241 |
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 |
18 | 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 |
3,400,000$ | 6,600,000$ | 6,600,000$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 3,400,000$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 64 | 50,000$ | 3,200,000$ |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|