Heat | |
GP: 26 | W: 1 | L: 23 | OTL: 2 | P: 4 GF: 48 | GA: 112 | PP%: 10.67% | PK%: 83.33% DG: Martin Bétit | Morale : 50 | Moyenne d’équipe : 58 Prochains matchs #409 vs Spiders |
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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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cody Glass | X | 100.00 | 72 | 49 | 81 | 74 | 80 | 79 | 77 | 77 | 70 | 74 | 69 | 71 | 73 | 61 | 54 | 0 | 50 | 71 | 0 | 23 | 1 | 863,335$ | ||||
2 | Hudson Fasching | X | 100.00 | 66 | 44 | 80 | 69 | 78 | 79 | 78 | 71 | 41 | 67 | 66 | 63 | 69 | 72 | 64 | 0 | 50 | 68 | 0 | 27 | 2 | 600,000$ | ||||
3 | Charles Hudon | X | X | X | 100.00 | 58 | 46 | 65 | 70 | 61 | 69 | 69 | 66 | 44 | 63 | 64 | 63 | 67 | 59 | 50 | 0 | 50 | 63 | 0 | 28 | 1 | 750,000$ | ||
4 | Jonathan Dahlen | X | 100.00 | 57 | 41 | 91 | 78 | 66 | 62 | 54 | 71 | 25 | 58 | 66 | 66 | 24 | 51 | 51 | 0 | 50 | 63 | 0 | 24 | 1 | 925,000$ | ||||
5 | Riley Tufte | X | 100.00 | 69 | 61 | 57 | 63 | 73 | 65 | 64 | 63 | 42 | 59 | 59 | 65 | 62 | 53 | 50 | 0 | 50 | 61 | 0 | 24 | 1 | 950,000$ | ||||
6 | Mikhail Maltsev | X | X | 100.00 | 65 | 46 | 69 | 67 | 65 | 64 | 62 | 62 | 52 | 58 | 57 | 62 | 62 | 53 | 50 | 0 | 50 | 60 | 0 | 24 | 1 | 750,000$ | |||
7 | Ryan MacInnis | X | X | 100.00 | 73 | 77 | 79 | 63 | 77 | 56 | 57 | 56 | 74 | 52 | 53 | 65 | 53 | 46 | 46 | 0 | 50 | 59 | 0 | 26 | 3 | 850,000$ | |||
8 | Grigori Denisenko (R) | X | X | 100.00 | 56 | 48 | 65 | 66 | 63 | 63 | 62 | 63 | 42 | 60 | 55 | 51 | 61 | 51 | 50 | 0 | 50 | 58 | 0 | 22 | 2 | 925,000$ | |||
9 | Alexander Campbell (R) | X | 100.00 | 37 | 30 | 97 | 69 | 55 | 56 | 71 | 45 | 47 | 38 | 43 | 38 | 47 | 54 | 54 | 0 | 50 | 50 | 0 | 21 | 3 | 700,000$ | ||||
10 | John Farinacci (R) | X | 100.00 | 45 | 43 | 97 | 64 | 69 | 50 | 63 | 40 | 52 | 33 | 39 | 42 | 42 | 54 | 54 | 0 | 50 | 48 | 0 | 21 | 3 | 700,000$ | ||||
11 | Alexandr Darin (R) | X | 100.00 | 41 | 37 | 97 | 64 | 62 | 46 | 62 | 34 | 46 | 29 | 31 | 37 | 35 | 58 | 58 | 0 | 50 | 45 | 0 | 22 | 3 | 650,000$ | ||||
12 | Ville Heinola | X | 100.00 | 64 | 44 | 63 | 71 | 61 | 61 | 60 | 64 | 40 | 64 | 54 | 69 | 63 | 50 | 50 | 0 | 50 | 63 | 0 | 21 | 1 | 925,002$ | ||||
13 | Jeremie Poirier (R) | X | 100.00 | 63 | 48 | 63 | 69 | 64 | 60 | 61 | 66 | 40 | 64 | 59 | 67 | 64 | 50 | 50 | 0 | 50 | 63 | 0 | 20 | 3 | 823,333$ | ||||
14 | Jacob Moverare | X | 100.00 | 61 | 48 | 65 | 68 | 65 | 63 | 63 | 62 | 40 | 59 | 54 | 66 | 61 | 52 | 50 | 0 | 50 | 62 | 0 | 24 | 2 | 900,000$ | ||||
15 | Nicolas Beaudin | X | 100.00 | 58 | 50 | 63 | 71 | 57 | 63 | 62 | 61 | 40 | 62 | 52 | 67 | 61 | 51 | 50 | 0 | 50 | 61 | 0 | 22 | 1 | 894,168$ | ||||
16 | Mattias Norlinder (R) | X | 100.00 | 59 | 40 | 69 | 66 | 62 | 62 | 62 | 62 | 40 | 61 | 54 | 61 | 61 | 51 | 50 | 0 | 50 | 60 | 0 | 22 | 3 | 700,000$ | ||||
17 | Ryan Johnson (R) | X | 100.00 | 41 | 38 | 97 | 63 | 63 | 52 | 73 | 34 | 25 | 34 | 27 | 40 | 29 | 54 | 54 | 0 | 50 | 49 | 0 | 21 | 3 | 825,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Adam Gaudette | X | X | HO | 63 | 44 | 69 | 72 | 64 | 70 | 71 | 68 | 52 | 65 | 64 | 63 | 68 | 59 | 53 | 0 | 50 | 65 | 0 | 26 | 0 | 0$ | |||
2 | Aapeli Rasanen (R) | X | 100.00 | 29 | 37 | 36 | 36 | 67 | 27 | 27 | 29 | 36 | 28 | 28 | 36 | 32 | 32 | 30 | 0 | 50 | 35 | 0 | 24 | 1 | 620,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 57 | 46 | 74 | 66 | 66 | 60 | 63 | 58 | 45 | 54 | 52 | 57 | 54 | 53 | 51 | 0 | 50 | 58 |
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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Dylan Garand (R) | 100.00 | 69 | 61 | 62 | 59 | 65 | 66 | 69 | 66 | 67 | 66 | 58 | 50 | 50 | 0 | 50 | 60 | 0 | 20 | 2 | 650,000$ | |
2 | Michael DiPietro (R) | 100.00 | 68 | 57 | 57 | 66 | 65 | 65 | 65 | 65 | 66 | 64 | 52 | 52 | 50 | 0 | 50 | 59 | 0 | 23 | 3 | 800,000$ | |
Rayé | |||||||||||||||||||||||
1 | Gage Alexander (R) | 100.00 | 62 | 57 | 57 | 69 | 62 | 62 | 62 | 59 | 62 | 60 | 54 | 50 | 50 | 0 | 50 | 57 | 0 | 20 | 3 | 810,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 66 | 58 | 59 | 65 | 64 | 64 | 65 | 63 | 65 | 63 | 55 | 51 | 50 | 0 | 50 | 59 |
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 | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Waiver Possible | Contrat | Type | Salaire actuel | Salaire moyen 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 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aapeli Rasanen | Heat (Cal) | C | 24 | 1998-06-01 | Yes | 196 Lbs | 6 ft0 | No | No | Yes | Yes | 1 | Pro & Farm | 620,000$ | 429,479$ | 0$ | 0$ | No | Lien | |||||||||
Adam Gaudette | Heat (Cal) | C/RW | 26 | 1996-10-03 | No | 170 Lbs | 6 ft1 | No | No | Yes | Yes | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||
Alexander Campbell | Heat (Cal) | LW | 21 | 2001-02-27 | Yes | 150 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 700,000$ | 484,896$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||
Alexandr Darin | Heat (Cal) | RW | 22 | 2000-08-16 | Yes | 170 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 650,000$ | 450,260$ | 0$ | 0$ | No | 650,000$ | 650,000$ | Lien | |||||||
Charles Hudon (contrat à 1 volet) | Heat (Cal) | C/LW/RW | 28 | 1994-06-23 | No | 190 Lbs | 5 ft10 | No | No | Yes | Yes | 1 | Pro & Farm | 750,000$ | 519,531$ | 0$ | 0$ | No | Lien | |||||||||
Cody Glass | Heat (Cal) | C | 23 | 1999-04-01 | No | 206 Lbs | 6 ft3 | No | No | No | No | 1 | Pro & Farm | 863,335$ | 598,039$ | 0$ | 0$ | No | Lien | |||||||||
Dylan Garand | Heat (Cal) | G | 20 | 2002-06-07 | Yes | 172 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 650,000$ | 450,260$ | 0$ | 0$ | No | 650,000$ | Lien | ||||||||
Gage Alexander | Heat (Cal) | G | 20 | 2002-07-02 | Yes | 205 Lbs | 6 ft6 | No | No | No | No | 3 | Pro & Farm | 810,000$ | 561,094$ | 0$ | 0$ | No | 810,000$ | 810,000$ | ||||||||
Grigori Denisenko | Heat (Cal) | LW/RW | 22 | 2000-06-24 | Yes | 185 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 925,000$ | 640,755$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Hudson Fasching (contrat à 1 volet) | Heat (Cal) | RW | 27 | 1995-07-28 | No | 204 Lbs | 6 ft3 | No | No | Yes | Yes | 2 | Pro & Farm | 600,000$ | 415,625$ | 0$ | 0$ | No | 600,000$ | Lien | ||||||||
Jacob Moverare | Heat (Cal) | D | 24 | 1998-08-31 | No | 198 Lbs | 6 ft3 | No | No | Yes | Yes | 2 | Pro & Farm | 900,000$ | 623,438$ | 0$ | 0$ | No | 900,000$ | Lien | ||||||||
Jeremie Poirier | Heat (Cal) | D | 20 | 2002-06-02 | Yes | 196 Lbs | 6 ft1 | No | No | No | No | 3 | Pro & Farm | 823,333$ | 570,330$ | 0$ | 0$ | No | 823,333$ | 823,333$ | ||||||||
John Farinacci | Heat (Cal) | C | 21 | 2001-02-14 | Yes | 190 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 700,000$ | 484,896$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||
Jonathan Dahlen | Heat (Cal) | LW | 24 | 1997-12-20 | No | 181 Lbs | 5 ft11 | No | No | Yes | Yes | 1 | Pro & Farm | 925,000$ | 640,755$ | 0$ | 0$ | No | Lien | |||||||||
Mattias Norlinder | Heat (Cal) | D | 22 | 2000-04-12 | Yes | 185 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 700,000$ | 484,896$ | 0$ | 0$ | No | 700,000$ | 700,000$ | Lien | |||||||
Michael DiPietro | Heat (Cal) | G | 23 | 1999-06-09 | Yes | 201 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 800,000$ | 554,167$ | 0$ | 0$ | No | 800,000$ | 800,000$ | Lien | |||||||
Mikhail Maltsev | Heat (Cal) | C/LW | 24 | 1998-03-12 | No | 198 Lbs | 6 ft3 | No | No | Yes | Yes | 1 | Pro & Farm | 750,000$ | 519,531$ | 0$ | 0$ | No | Lien | |||||||||
Nicolas Beaudin | Heat (Cal) | D | 22 | 1999-10-07 | No | 168 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 894,168$ | 619,398$ | 0$ | 0$ | No | Lien | |||||||||
Riley Tufte | Heat (Cal) | LW | 24 | 1998-04-10 | No | 220 Lbs | 6 ft6 | No | No | Yes | Yes | 1 | Pro & Farm | 950,000$ | 658,073$ | 0$ | 0$ | No | Lien | |||||||||
Ryan Johnson | Heat (Cal) | D | 21 | 2001-07-24 | Yes | 170 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 825,000$ | 571,484$ | 0$ | 0$ | No | 825,000$ | 825,000$ | Lien | |||||||
Ryan MacInnis (contrat à 1 volet) | Heat (Cal) | C/LW | 26 | 1996-02-14 | No | 201 Lbs | 6 ft4 | No | No | Yes | Yes | 3 | Pro & Farm | 850,000$ | 588,802$ | 0$ | 0$ | No | 850,000$ | 850,000$ | Lien | |||||||
Ville Heinola | Heat (Cal) | D | 21 | 2001-03-02 | No | 179 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 925,002$ | 640,757$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
22 | 22.95 | 188 Lbs | 6 ft1 | 1.95 | 755,038$ |
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 |
---|
, , , , |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | 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 | Bears | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 21 | 201 | 207 | 195 | 12 | 28 | 6 | 4 | 15 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
2 | Caroline | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 12 | 0 | 18 | 201 | 207 | 195 | 12 | 18 | 4 | 6 | 23 | 5 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
3 | Chiefs | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 18 | 18 | 12 | 0 | 26 | 201 | 207 | 195 | 12 | 35 | 9 | 8 | 23 | 4 | 2 | 50.00% | 4 | 1 | 75.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
4 | Chill | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 30 | 201 | 207 | 195 | 12 | 55 | 28 | 11 | 23 | 6 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
5 | Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 10 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 7 | 11 | 1 | 0 | 18 | 18 | 12 | 0 | 48 | 201 | 207 | 195 | 12 | 60 | 20 | 6 | 44 | 4 | 1 | 25.00% | 3 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
6 | Cougars | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 25 | 201 | 207 | 195 | 12 | 31 | 8 | 6 | 27 | 1 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
7 | Crunch | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 6 | -5 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 18 | 18 | 12 | 0 | 36 | 201 | 207 | 195 | 12 | 54 | 13 | 2 | 20 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
8 | Las Vegas | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 32 | 201 | 207 | 195 | 12 | 23 | 6 | 2 | 18 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
9 | Manchots | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 18 | 18 | 12 | 0 | 36 | 201 | 207 | 195 | 12 | 26 | 7 | 4 | 29 | 2 | 0 | 0.00% | 2 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
10 | Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | -6 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 12 | 0 | 30 | 201 | 207 | 195 | 12 | 42 | 8 | 2 | 17 | 3 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
11 | Minnesota | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 18 | 18 | 12 | 0 | 32 | 201 | 207 | 195 | 12 | 30 | 10 | 2 | 21 | 4 | 1 | 25.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
12 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 18 | 18 | 12 | 0 | 20 | 201 | 207 | 195 | 12 | 22 | 11 | 2 | 15 | 1 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
13 | Monsters | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 23 | 201 | 207 | 195 | 12 | 33 | 11 | 2 | 15 | 2 | 1 | 50.00% | 1 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
14 | Oceanics | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 20 | 201 | 207 | 195 | 12 | 22 | 2 | 4 | 18 | 4 | 1 | 25.00% | 2 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
15 | Oil Kings | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 15 | 201 | 207 | 195 | 12 | 39 | 8 | 10 | 13 | 2 | 0 | 0.00% | 5 | 1 | 80.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
16 | Rocket | 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 | 18 | 18 | 12 | 0 | 26 | 201 | 207 | 195 | 12 | 22 | 5 | 2 | 17 | 4 | 0 | 0.00% | 0 | 0 | 0% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
17 | Seattle | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 18 | 18 | 12 | 0 | 35 | 201 | 207 | 195 | 12 | 63 | 25 | 6 | 34 | 8 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
18 | Senators | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 15 | 201 | 207 | 195 | 12 | 42 | 5 | 0 | 11 | 3 | 0 | 0.00% | 0 | 0 | 0% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
19 | Sound Tigers | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 4 | 6 | 0 | 0 | 18 | 18 | 12 | 0 | 22 | 201 | 207 | 195 | 12 | 20 | 7 | 6 | 16 | 3 | 0 | 0.00% | 3 | 1 | 66.67% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
20 | Stars | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 6 | 16 | -10 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 6 | 12 | 18 | 0 | 0 | 18 | 18 | 12 | 0 | 75 | 201 | 207 | 195 | 12 | 85 | 24 | 10 | 43 | 11 | 2 | 18.18% | 5 | 2 | 60.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
21 | Wolf Pack | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 18 | 18 | 12 | 0 | 24 | 201 | 207 | 195 | 12 | 32 | 4 | 19 | 17 | 2 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
Total | 26 | 1 | 23 | 0 | 0 | 0 | 0 | 2 | 48 | 112 | -64 | 12 | 0 | 10 | 0 | 0 | 0 | 0 | 2 | 23 | 47 | -24 | 14 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 25 | 65 | -40 | 4 | 0.077 | 48 | 95 | 143 | 1 | 0 | 18 | 18 | 12 | 0 | 609 | 201 | 207 | 195 | 12 | 782 | 221 | 114 | 459 | 75 | 8 | 10.67% | 48 | 8 | 83.33% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 | |
_Since Last GM Reset | 26 | 1 | 23 | 0 | 0 | 0 | 0 | 2 | 48 | 112 | -64 | 12 | 0 | 10 | 0 | 0 | 0 | 0 | 2 | 23 | 47 | -24 | 14 | 1 | 13 | 0 | 0 | 0 | 0 | 0 | 25 | 65 | -40 | 4 | 0.077 | 48 | 95 | 143 | 1 | 0 | 18 | 18 | 12 | 0 | 609 | 201 | 207 | 195 | 12 | 782 | 221 | 114 | 459 | 75 | 8 | 10.67% | 48 | 8 | 83.33% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 | |
_Vs Conference | 16 | 0 | 14 | 0 | 0 | 0 | 0 | 2 | 27 | 71 | -44 | 8 | 0 | 6 | 0 | 0 | 0 | 0 | 2 | 15 | 32 | -17 | 8 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 12 | 39 | -27 | 2 | 0.063 | 27 | 53 | 80 | 1 | 0 | 18 | 18 | 12 | 0 | 391 | 201 | 207 | 195 | 12 | 493 | 143 | 62 | 298 | 49 | 7 | 14.29% | 30 | 4 | 86.67% | 0 | 208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% | 403 | 274 | 882 | 194 | 284 | 109 |
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 |
26 | 4 | L1 | 48 | 95 | 143 | 609 | 782 | 221 | 114 | 459 | 1 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
26 | 1 | 23 | 0 | 0 | 0 | 2 | 48 | 112 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
12 | 0 | 10 | 0 | 0 | 0 | 2 | 23 | 47 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 1 | 13 | 0 | 0 | 0 | 0 | 25 | 65 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 9 | 0 | 0 | 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 |
---|---|---|---|---|---|---|
75 | 8 | 10.67% | 48 | 8 | 83.33% | 0 |
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 |
---|---|---|---|---|---|---|---|
201 | 207 | 195 | 12 | 18 | 18 | 12 | 0 |
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 |
208 | 608 | 34.21% | 237 | 737 | 32.16% | 118 | 360 | 32.78% |
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 |
403 | 274 | 882 | 194 | 284 | 109 |
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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2023-10-11 | 9 | Oceanics | 4 | Heat | 2 | BL | Sommaire du match | |||
5 - 2023-10-14 | 25 | Heat | 4 | Manchots | 3 | AW | Sommaire du match | |||
7 - 2023-10-16 | 39 | Heat | 2 | Bears | 4 | AL | Sommaire du match | |||
10 - 2023-10-19 | 51 | Heat | 1 | Crunch | 6 | AL | Sommaire du match | |||
11 - 2023-10-20 | 63 | Heat | 4 | Monsters | 5 | AL | Sommaire du match | |||
13 - 2023-10-22 | 80 | Heat | 2 | Cougars | 4 | AL | Sommaire du match | |||
15 - 2023-10-24 | 96 | Wolf Pack | 4 | Heat | 3 | BL | Sommaire du match | |||
17 - 2023-10-26 | 109 | Chiefs | 4 | Heat | 3 | BL | X | X | Sommaire du match | |
20 - 2023-10-29 | 129 | Heat | 2 | Oil Kings | 6 | AL | Sommaire du match | |||
23 - 2023-11-01 | 142 | Stars | 3 | Heat | 1 | BL | Sommaire du match | |||
26 - 2023-11-04 | 170 | Heat | 1 | Seattle | 3 | AL | Sommaire du match | |||
29 - 2023-11-07 | 186 | Chill | 4 | Heat | 1 | BL | Sommaire du match | |||
32 - 2023-11-10 | 207 | Heat | 0 | Marlies | 6 | AL | Sommaire du match | |||
33 - 2023-11-11 | 213 | Heat | 2 | Senators | 5 | AL | Sommaire du match | |||
36 - 2023-11-14 | 231 | Heat | 1 | Rocket | 3 | AL | Sommaire du match | |||
38 - 2023-11-16 | 247 | Comets | 6 | Heat | 2 | BL | Sommaire du match | |||
40 - 2023-11-18 | 258 | Sound Tigers | 3 | Heat | 2 | BL | Sommaire du match | |||
42 - 2023-11-20 | 277 | Heat | 0 | Seattle | 6 | AL | Sommaire du match | |||
44 - 2023-11-22 | 288 | Heat | 1 | Chill | 3 | AL | Sommaire du match | |||
46 - 2023-11-24 | 305 | Heat | 3 | Stars | 8 | AL | Sommaire du match | |||
47 - 2023-11-25 | 315 | Heat | 2 | Monsters | 3 | AL | Sommaire du match | |||
49 - 2023-11-27 | 325 | Las Vegas | 3 | Heat | 2 | BL | Sommaire du match | |||
52 - 2023-11-30 | 351 | Stars | 5 | Heat | 2 | BL | Sommaire du match | |||
54 - 2023-12-02 | 368 | Comets | 4 | Heat | 2 | BL | Sommaire du match | |||
57 - 2023-12-05 | 385 | Minnesota | 4 | Heat | 3 | BL | X | X | Sommaire du match | |
59 - 2023-12-07 | 401 | Caroline | 3 | Heat | 0 | BL | Sommaire du match | |||
61 - 2023-12-09 | 409 | Spiders | - | Heat | - | |||||
63 - 2023-12-11 | 431 | Heat | - | Monsters | - | |||||
64 - 2023-12-12 | 439 | Heat | - | Las Vegas | - | |||||
66 - 2023-12-14 | 450 | Heat | - | Minnesota | - | |||||
68 - 2023-12-16 | 472 | Thunder | - | Heat | - | |||||
70 - 2023-12-18 | 483 | Cabaret Lady Mary Ann | - | Heat | - | |||||
73 - 2023-12-21 | 508 | Heat | - | Admirals | - | |||||
75 - 2023-12-23 | 526 | Heat | - | Monarchs | - | |||||
79 - 2023-12-27 | 539 | Seattle | - | Heat | - | |||||
83 - 2023-12-31 | 570 | Phantoms | - | Heat | - | |||||
85 - 2024-01-02 | 578 | Heat | - | Minnesota | - | |||||
87 - 2024-01-04 | 595 | Heat | - | Chill | - | |||||
89 - 2024-01-06 | 605 | Heat | - | Phantoms | - | |||||
90 - 2024-01-07 | 617 | Heat | - | Baby Hawks | - | |||||
92 - 2024-01-09 | 634 | Senators | - | Heat | - | |||||
94 - 2024-01-11 | 649 | Heat | - | Jayhawks | - | |||||
96 - 2024-01-13 | 668 | Heat | - | Las Vegas | - | |||||
99 - 2024-01-16 | 687 | Jayhawks | - | Heat | - | |||||
101 - 2024-01-18 | 697 | Marlies | - | Heat | - | |||||
103 - 2024-01-20 | 716 | Oil Kings | - | Heat | - | |||||
106 - 2024-01-23 | 735 | Chiefs | - | Heat | - | |||||
108 - 2024-01-25 | 753 | Monsters | - | Heat | - | |||||
110 - 2024-01-27 | 772 | Baby Hawks | - | Heat | - | |||||
120 - 2024-02-06 | 783 | Heat | - | Bruins | - | |||||
122 - 2024-02-08 | 796 | Heat | - | Spiders | - | |||||
124 - 2024-02-10 | 807 | Heat | - | Sound Tigers | - | |||||
126 - 2024-02-12 | 820 | Heat | - | Wolf Pack | - | |||||
129 - 2024-02-15 | 846 | Sharks | - | Heat | - | |||||
131 - 2024-02-17 | 852 | Cougars | - | Heat | - | |||||
133 - 2024-02-19 | 873 | Oceanics | - | Heat | - | |||||
136 - 2024-02-22 | 896 | Bruins | - | Heat | - | |||||
138 - 2024-02-24 | 914 | Heat | - | Oil Kings | - | |||||
141 - 2024-02-27 | 935 | Monarchs | - | Heat | - | |||||
145 - 2024-03-02 | 968 | Manchots | - | Heat | - | |||||
147 - 2024-03-04 | 980 | Seattle | - | Heat | - | |||||
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
150 - 2024-03-07 | 999 | Heat | - | Thunder | - | |||||
152 - 2024-03-09 | 1013 | Heat | - | Cabaret Lady Mary Ann | - | |||||
153 - 2024-03-10 | 1024 | Heat | - | Caroline | - | |||||
155 - 2024-03-12 | 1039 | Monsters | - | Heat | - | |||||
157 - 2024-03-14 | 1055 | Las Vegas | - | Heat | - | |||||
159 - 2024-03-16 | 1064 | Rocket | - | Heat | - | |||||
161 - 2024-03-18 | 1080 | Bears | - | Heat | - | |||||
166 - 2024-03-23 | 1120 | Heat | - | Comets | - | |||||
167 - 2024-03-24 | 1133 | Crunch | - | Heat | - | |||||
169 - 2024-03-26 | 1143 | Heat | - | Baby Hawks | - | |||||
171 - 2024-03-28 | 1157 | Heat | - | Chiefs | - | |||||
173 - 2024-03-30 | 1179 | Monarchs | - | Heat | - | |||||
176 - 2024-04-02 | 1195 | Admirals | - | Heat | - | |||||
178 - 2024-04-04 | 1209 | Heat | - | Oceanics | - | |||||
180 - 2024-04-06 | 1227 | Oil Kings | - | Heat | - | |||||
183 - 2024-04-09 | 1251 | Heat | - | Sharks | - | |||||
185 - 2024-04-11 | 1264 | Heat | - | Monarchs | - | |||||
186 - 2024-04-12 | 1268 | Heat | - | Admirals | - | |||||
188 - 2024-04-14 | 1286 | Jayhawks | - | Heat | - | |||||
190 - 2024-04-16 | 1302 | Heat | - | Comets | - | |||||
192 - 2024-04-18 | 1309 | Sharks | - | Heat | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 23,133 | 11,605 |
Assistance PCT | 96.39% | 96.71% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
29 | 2895 - 96.49% | 98,373$ | 1,180,476$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
433,666$ | 1,441,084$ | 1,441,084$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
7,506$ | 433,666$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
2,852,817$ | 133 | 7,506$ | 998,298$ |
# | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
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