Syracuse Crunch | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% DG: Tony Chiu | Morale : 50 | Moyenne d’équipe : 61 |
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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 | Lukas Reichel (R) | X | 100.00 | 62 | 45 | 80 | 66 | 62 | 72 | 59 | 66 | 55 | 73 | 69 | 65 | 57 | 55 | 56 | 0 | 50 | 67 | 0 | 21 | 3 | 975,000$ | ||||
2 | Nathan Walker | X | 100.00 | 72 | 70 | 88 | 66 | 78 | 60 | 72 | 58 | 78 | 72 | 59 | 69 | 54 | 58 | 58 | 0 | 50 | 65 | 0 | 29 | 2 | 900,000$ | ||||
3 | Nils Hoglander | X | X | 100.00 | 60 | 53 | 73 | 65 | 65 | 63 | 64 | 60 | 54 | 64 | 60 | 63 | 58 | 58 | 55 | 0 | 50 | 62 | 0 | 22 | 1 | 925,000$ | |||
4 | Connor Zary | X | 100.00 | 55 | 58 | 63 | 63 | 61 | 68 | 66 | 64 | 70 | 61 | 62 | 62 | 60 | 55 | 53 | 0 | 50 | 62 | 0 | 22 | 2 | 975,000$ | ||||
5 | Cole Reinhardt | X | 100.00 | 56 | 55 | 61 | 61 | 67 | 67 | 66 | 60 | 55 | 58 | 58 | 60 | 54 | 57 | 54 | 0 | 50 | 60 | 0 | 23 | 1 | 725,000$ | ||||
6 | Kyle MacLean | X | 100.00 | 56 | 57 | 62 | 59 | 63 | 67 | 66 | 58 | 70 | 57 | 58 | 60 | 54 | 59 | 55 | 0 | 50 | 59 | 0 | 24 | 1 | 625,000$ | ||||
7 | Pierrick Dube (R) | X | 100.00 | 55 | 58 | 66 | 61 | 56 | 62 | 61 | 59 | 55 | 57 | 60 | 62 | 57 | 55 | 53 | 0 | 50 | 59 | 0 | 22 | 2 | 625,000$ | ||||
8 | Alexander Kisakov (R) | X | 100.00 | 55 | 55 | 66 | 56 | 52 | 63 | 62 | 55 | 55 | 54 | 56 | 59 | 60 | 54 | 52 | 0 | 50 | 56 | 0 | 20 | 3 | 925,000$ | ||||
9 | Rory Kerins | X | 100.00 | 54 | 54 | 68 | 54 | 57 | 55 | 55 | 54 | 70 | 54 | 54 | 61 | 54 | 54 | 52 | 0 | 50 | 55 | 0 | 21 | 1 | 725,000$ | ||||
10 | David Goyette (R) | X | 100.00 | 54 | 54 | 68 | 54 | 58 | 54 | 54 | 54 | 55 | 54 | 54 | 60 | 54 | 50 | 50 | 0 | 50 | 55 | 0 | 19 | 3 | 925,000$ | ||||
11 | Adam Sykora (R) | X | 100.00 | 54 | 54 | 68 | 54 | 57 | 54 | 54 | 54 | 55 | 54 | 54 | 60 | 54 | 50 | 50 | 0 | 50 | 55 | 0 | 19 | 3 | 925,000$ | ||||
12 | Yegor Zamula | X | 100.00 | 57 | 40 | 76 | 56 | 59 | 75 | 56 | 51 | 40 | 63 | 54 | 81 | 54 | 54 | 58 | 0 | 50 | 62 | 0 | 23 | 2 | 775,000$ | ||||
13 | Brandt Clarke (R) | X | 100.00 | 60 | 45 | 69 | 65 | 67 | 65 | 56 | 54 | 40 | 68 | 54 | 67 | 54 | 53 | 55 | 0 | 50 | 61 | 0 | 20 | 3 | 975,000$ | ||||
14 | John Ludvig | X | 100.00 | 56 | 55 | 63 | 57 | 68 | 64 | 63 | 57 | 40 | 57 | 55 | 64 | 54 | 57 | 54 | 0 | 50 | 59 | 0 | 23 | 1 | 700,000$ | ||||
15 | Lukas Cormier (R) | X | 100.00 | 55 | 57 | 65 | 61 | 58 | 66 | 64 | 60 | 40 | 59 | 58 | 58 | 54 | 54 | 52 | 0 | 50 | 59 | 0 | 21 | 3 | 925,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Jonatan Berggren | X | X | 100.00 | 68 | 41 | 85 | 68 | 79 | 66 | 70 | 63 | 54 | 72 | 67 | 68 | 54 | 56 | 57 | 0 | 50 | 68 | 0 | 23 | 1 | 925,000$ | |||
2 | Riley Stillman | X | 100.00 | 70 | 74 | 84 | 67 | 77 | 70 | 75 | 58 | 40 | 72 | 58 | 80 | 54 | 59 | 58 | 0 | 50 | 68 | 0 | 25 | 2 | 975,000$ | ||||
3 | Declan Chisholm | X | 100.00 | 55 | 55 | 66 | 59 | 63 | 65 | 63 | 61 | 40 | 61 | 56 | 58 | 54 | 57 | 54 | 0 | 50 | 59 | 0 | 23 | 1 | 700,000$ | ||||
4 | Sam Malinski | X | 100.00 | 54 | 54 | 68 | 55 | 61 | 55 | 55 | 55 | 40 | 54 | 55 | 61 | 54 | 61 | 56 | 0 | 50 | 57 | 0 | 25 | 2 | 700,000$ | ||||
5 | Max Wanner (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 35 | 50 | 50 | 50 | 50 | 25 | 25 | 0 | 50 | 49 | 0 | 20 | 3 | 350,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 58 | 54 | 69 | 60 | 63 | 63 | 62 | 58 | 52 | 61 | 58 | 63 | 55 | 54 | 53 | 0 | 50 | 60 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cayden Primeau | 100.00 | 62 | 65 | 65 | 71 | 67 | 62 | 66 | 67 | 58 | 60 | 62 | 58 | 54 | 0 | 50 | 64 | 0 | 24 | 2 | 750,000$ | |
Rayé | |||||||||||||||||||||||
1 | Alex Stalock | 100.00 | 75 | 71 | 72 | 69 | 83 | 82 | 84 | 72 | 83 | 73 | 74 | 64 | 57 | 0 | 50 | 77 | 0 | 36 | 2 | 950,000$ | |
2 | Lukas Dostal | 100.00 | 59 | 64 | 65 | 71 | 70 | 70 | 72 | 68 | 65 | 65 | 69 | 56 | 53 | 0 | 50 | 67 | 0 | 23 | 1 | 875,000$ | |
3 | Remi Poirier | 100.00 | 57 | 58 | 59 | 67 | 66 | 54 | 67 | 58 | 57 | 57 | 67 | 54 | 51 | 0 | 50 | 60 | 0 | 22 | 2 | 675,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 63 | 65 | 65 | 70 | 72 | 67 | 72 | 66 | 66 | 64 | 68 | 58 | 54 | 0 | 50 | 67 |
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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Sykora | Syracuse Crunch (TB ) | C | 19 | 2004-09-07 | Yes | 172 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 99,107$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Alex Stalock | Syracuse Crunch (TB ) | G | 36 | 1987-07-28 | No | 170 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 950,000$ | 101,786$ | 0$ | 0$ | No | 950,000$ | Lien | ||||||||
Alexander Kisakov | Syracuse Crunch (TB ) | RW | 20 | 2002-11-01 | Yes | 150 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 99,107$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Brandt Clarke | Syracuse Crunch (TB ) | D | 20 | 2003-02-09 | Yes | 185 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 975,000$ | 104,464$ | 0$ | 0$ | No | 975,000$ | 975,000$ | ||||||||
Cayden Primeau | Syracuse Crunch (TB ) | G | 24 | 1999-08-11 | No | 199 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 750,000$ | 80,357$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Cole Reinhardt | Syracuse Crunch (TB ) | C | 23 | 2000-02-01 | No | 207 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 725,000$ | 77,679$ | 0$ | 0$ | No | Lien | |||||||||
Connor Zary | Syracuse Crunch (TB ) | C | 22 | 2001-09-25 | No | 185 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 975,000$ | 104,464$ | 0$ | 0$ | No | 975,000$ | Lien | ||||||||
David Goyette | Syracuse Crunch (TB ) | C | 19 | 2004-03-27 | Yes | 174 Lbs | 5 ft11 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 99,107$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Declan Chisholm | Syracuse Crunch (TB ) | D | 23 | 2000-01-12 | No | 190 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 75,000$ | 0$ | 0$ | No | Lien | |||||||||
John Ludvig | Syracuse Crunch (TB ) | D | 23 | 2000-08-02 | No | 214 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 700,000$ | 75,000$ | 0$ | 0$ | No | Lien | |||||||||
Jonatan Berggren | Syracuse Crunch (TB ) | C/LW | 23 | 2000-07-16 | No | 197 Lbs | 5 ft11 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 99,107$ | 0$ | 0$ | No | Lien | |||||||||
Kyle MacLean | Syracuse Crunch (TB ) | C | 24 | 1999-04-29 | No | 190 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 625,000$ | 66,964$ | 0$ | 0$ | No | Lien | |||||||||
Lukas Cormier | Syracuse Crunch (TB ) | D | 21 | 2002-03-27 | Yes | 176 Lbs | 5 ft10 | No | No | No | No | 3 | Pro & Farm | 925,000$ | 99,107$ | 0$ | 0$ | No | 925,000$ | 925,000$ | ||||||||
Lukas Dostal | Syracuse Crunch (TB ) | G | 23 | 2000-06-22 | No | 174 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 875,000$ | 93,750$ | 0$ | 0$ | No | Lien | |||||||||
Lukas Reichel | Syracuse Crunch (TB ) | C | 21 | 2002-05-17 | Yes | 170 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 975,000$ | 104,464$ | 0$ | 0$ | No | 975,000$ | 975,000$ | ||||||||
Max Wanner | Syracuse Crunch (TB ) | D | 20 | 2003-03-12 11:10:54 AM | Yes | 185 Lbs | 6 ft5 | No | No | No | No | 3 | Pro & Farm | 350,000$ | 37,500$ | 0$ | 0$ | No | 350,000$ | 350,000$ | ||||||||
Nathan Walker | Syracuse Crunch (TB ) | C | 29 | 1994-02-07 | No | 187 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 900,000$ | 96,429$ | 0$ | 0$ | No | 900,000$ | Lien | ||||||||
Nils Hoglander | Syracuse Crunch (TB ) | LW/RW | 22 | 2000-12-20 | No | 185 Lbs | 5 ft9 | No | No | No | No | 1 | Pro & Farm | 925,000$ | 99,107$ | 0$ | 0$ | No | Lien | |||||||||
Pierrick Dube | Syracuse Crunch (TB ) | RW | 22 | 2001-01-07 | Yes | 172 Lbs | 5 ft9 | No | No | No | No | 2 | Pro & Farm | 625,000$ | 66,964$ | 0$ | 0$ | No | 625,000$ | |||||||||
Remi Poirier | Syracuse Crunch (TB ) | G | 22 | 2001-10-06 | No | 201 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 675,000$ | 72,321$ | 0$ | 0$ | No | 675,000$ | Lien | ||||||||
Riley Stillman | Syracuse Crunch (TB ) | D | 25 | 1998-03-09 | No | 196 Lbs | 6 ft1 | No | No | No | No | 2 | Pro & Farm | 975,000$ | 104,464$ | 0$ | 0$ | No | 975,000$ | Lien | ||||||||
Rory Kerins | Syracuse Crunch (TB ) | LW | 21 | 2002-04-23 | No | 174 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 725,000$ | 77,679$ | 0$ | 0$ | No | Lien | |||||||||
Sam Malinski | Syracuse Crunch (TB ) | D | 25 | 1998-07-27 | No | 190 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 700,000$ | 75,000$ | 0$ | 0$ | No | 700,000$ | Lien | ||||||||
Yegor Zamula | Syracuse Crunch (TB ) | D | 23 | 2000-03-30 | No | 177 Lbs | 6 ft3 | No | No | No | No | 2 | Pro & Farm | 775,000$ | 83,036$ | 0$ | 0$ | No | 775,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
24 | 22.92 | 184 Lbs | 6 ft0 | 1.96 | 813,542$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nils Hoglander | 35 | 1 | 2 | 2 | ||
2 | Rory Kerins | Pierrick Dube | 30 | 1 | 2 | 2 | |
3 | Connor Zary | Alexander Kisakov | 25 | 1 | 2 | 2 | |
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 35 | 1 | 2 | 2 | |||
2 | Yegor Zamula | Brandt Clarke | 30 | 1 | 2 | 2 | |
3 | John Ludvig | 25 | 1 | 2 | 2 | ||
4 | Lukas Cormier | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nils Hoglander | 60 | 1 | 2 | 2 | ||
2 | Rory Kerins | Pierrick Dube | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Yegor Zamula | Brandt Clarke | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Connor Zary | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Yegor Zamula | Brandt Clarke | 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 | Yegor Zamula | Brandt Clarke | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Connor Zary | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Yegor Zamula | Brandt Clarke | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nils Hoglander |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nils Hoglander |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , Alexander Kisakov | , | Alexander Kisakov |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, John Ludvig, Lukas Cormier | John Ludvig, Lukas Cormier |
Tirs de pénalité |
---|
, , , Connor Zary, Nils Hoglander |
Gardien |
---|
#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 |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
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 |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0% | 0 | 0 | 0% | 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 |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% |
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 |
0 | 0 | 0 | 0 | 0 | 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 |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
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% | 0% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 1,952,500$ | 1,925,000$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 3 | 0$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nils Hoglander | 58 | 26 | 29 | 55 | -4 | 37 | 122 | 116 | 277 | 9.39% | 12 | 1093 | 18.85 | 6 | 16 | 22 | 76 | 0 | 0 | 0 | 1 | 4 | 4 | 51.72% | 1 | 1.01 | 1 | 2 |
2 | Pierrick Dube | 58 | 17 | 28 | 45 | 10 | 27 | 79 | 79 | 183 | 9.29% | 2 | 898 | 15.50 | 7 | 7 | 14 | 40 | 0 | 0 | 0 | 0 | 3 | 3 | 52.00% | 0 | 1.00 | 0 | 0 |
3 | Connor Zary | 82 | 22 | 15 | 37 | 11 | 66 | 75 | 153 | 172 | 12.79% | 10 | 796 | 9.71 | 1 | 1 | 2 | 11 | 0 | 0 | 0 | 0 | 4 | 0 | 58.51% | 0 | 0.93 | 2 | 5 |
4 | Rory Kerins | 58 | 15 | 17 | 32 | 10 | 18 | 59 | 43 | 123 | 12.20% | 11 | 899 | 15.51 | 3 | 7 | 10 | 32 | 0 | 0 | 0 | 0 | 3 | 1 | 58.93% | 0 | 0.71 | 0 | 0 |
5 | Alexander Kisakov | 58 | 15 | 12 | 27 | -1 | 26 | 49 | 55 | 99 | 15.15% | 6 | 696 | 12.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 47.17% | 0 | 0.78 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Lukas Dostal | 36 | 18 | 16 | 2 | 0.903 | 3.29 | 2173 | 0 | 1 | 119 | 1231 | 0 | 0 | 1 | 0.833 | 6 |
2 | Cayden Primeau | 6 | 1 | 4 | 1 | 0.900 | 3.73 | 370 | 6 | 0 | 23 | 230 | 0 | 0 | 0 | 0.333 | 6 |
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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2023 | 82 | 36 | 37 | 0 | 1 | 2 | 4 | 2 | 274 | 278 | -4 | 41 | 19 | 19 | 0 | 0 | 0 | 2 | 1 | 131 | 129 | 2 | 41 | 17 | 18 | 0 | 1 | 2 | 2 | 1 | 143 | 149 | -6 | 86 | 274 | 501 | 775 | 1 | 3 | 115 | 72 | 82 | 8 | 2966 | 952 | 1042 | 945 | 46 | 2916 | 864 | 874 | 1965 | 369 | 69 | 18.70% | 367 | 69 | 81.20% | 7 | 1518 | 3030 | 50.10% | 1440 | 3008 | 47.87% | 627 | 1347 | 46.55% | 1996 | 1408 | 1957 | 590 | 1002 | 497 |
Total Saison régulière | 82 | 36 | 37 | 0 | 1 | 2 | 4 | 2 | 274 | 278 | -4 | 41 | 19 | 19 | 0 | 0 | 0 | 2 | 1 | 131 | 129 | 2 | 41 | 17 | 18 | 0 | 1 | 2 | 2 | 1 | 143 | 149 | -6 | 86 | 274 | 501 | 775 | 1 | 3 | 115 | 72 | 82 | 8 | 2966 | 952 | 1042 | 945 | 46 | 2916 | 864 | 874 | 1965 | 369 | 69 | 18.70% | 367 | 69 | 81.20% | 7 | 1518 | 3030 | 50.10% | 1440 | 3008 | 47.87% | 627 | 1347 | 46.55% | 1996 | 1408 | 1957 | 590 | 1002 | 497 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 23 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 14 | 26 | 40 | 0 | 0 | 6 | 5 | 3 | 0 | 140 | 50 | 37 | 53 | 0 | 155 | 37 | 50 | 96 | 21 | 3 | 14.29% | 21 | 7 | 66.67% | 1 | 65 | 148 | 43.92% | 70 | 141 | 49.65% | 36 | 76 | 47.37% | 96 | 68 | 96 | 27 | 46 | 22 |
Total Séries éliminatoires | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 14 | 23 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 13 | -6 | 0 | 14 | 26 | 40 | 0 | 0 | 6 | 5 | 3 | 0 | 140 | 50 | 37 | 53 | 0 | 155 | 37 | 50 | 96 | 21 | 3 | 14.29% | 21 | 7 | 66.67% | 1 | 65 | 148 | 43.92% | 70 | 141 | 49.65% | 36 | 76 | 47.37% | 96 | 68 | 96 | 27 | 46 | 22 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cole Schwindt | 4 | 4 | 3 | 7 | 4 | 4 | 15 | 9 | 27 | 14.81% | 1 | 75 | 18.97 | 1 | 0 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 1.85 | 0 | 0 |
2 | Jesper Boqvist | 4 | 1 | 1 | 2 | -8 | 0 | 7 | 20 | 12 | 8.33% | 3 | 88 | 22.25 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 46.71% | 0 | 0.45 | 0 | 0 |
3 | Nils Hoglander | 4 | 1 | 1 | 2 | -8 | 4 | 10 | 4 | 8 | 12.50% | 0 | 86 | 21.60 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 45.45% | 0 | 0.46 | 0 | 0 |
4 | Jonatan Berggren | 4 | 1 | 1 | 2 | -2 | 2 | 5 | 11 | 11 | 9.09% | 1 | 52 | 13.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.83% | 0 | 0.76 | 0 | 0 |
5 | Joey Anderson | 4 | 0 | 1 | 1 | -4 | 2 | 9 | 9 | 8 | 0% | 2 | 75 | 18.93 | 0 | 0 | 0 | 4 | 0 | 1 | 1 | 0 | 0 | 0 | 40.00% | 0 | 0.26 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|