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Astuces sur les filtres (anglais seulement)
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 | Ivan Miroshnichenko (R) | X | 100.00 | 96 | 46 | 84 | 79 | 56 | 75 | 57 | 57 | 40 | 56 | 58 | 64 | 40 | 64 | 70 | 90 | 44 | 62 | 0 | 20 | 3 | 925,000$ | ||||
2 | Alex Chiasson | X | 100.00 | 56 | 54 | 84 | 79 | 73 | 60 | 50 | 63 | 40 | 42 | 55 | 52 | 58 | 92 | 76 | 20 | 35 | 58 | 0 | 34 | 2 | 2,250,000$ | ||||
3 | Colin White | X | 100.00 | 58 | 48 | 87 | 75 | 60 | 71 | 62 | 45 | 73 | 40 | 50 | 66 | 40 | 78 | 75 | 55 | 26 | 57 | 0 | 27 | 1 | 2,178,000$ | ||||
4 | Laurent Dauphin | X | 100.00 | 59 | 45 | 80 | 75 | 54 | 60 | 50 | 47 | 89 | 40 | 44 | 60 | 40 | 82 | 71 | 45 | 75 | 55 | 0 | 29 | 3 | 950,000$ | ||||
5 | Luke Toporowski | X | 100.00 | 55 | 51 | 78 | 75 | 49 | 75 | 65 | 42 | 40 | 40 | 45 | 57 | 40 | 70 | 73 | 75 | 41 | 54 | 0 | 23 | 3 | 575,000$ | ||||
6 | Jared Davidson (R) | X | 100.00 | 51 | 49 | 74 | 88 | 53 | 60 | 50 | 42 | 40 | 31 | 54 | 61 | 40 | 68 | 64 | 80 | 20 | 54 | 0 | 22 | 3 | 925,000$ | ||||
7 | William Dufour | X | 100.00 | 47 | 45 | 77 | 75 | 73 | 64 | 54 | 44 | 40 | 35 | 52 | 50 | 40 | 68 | 66 | 80 | 75 | 53 | 0 | 22 | 2 | 925,000$ | ||||
8 | Ryder Rolston (R) | X | 100.00 | 57 | 49 | 89 | 83 | 65 | 71 | 61 | 38 | 40 | 32 | 43 | 55 | 40 | 70 | 71 | 75 | 42 | 53 | 0 | 23 | 3 | 575,000$ | ||||
9 | Avery Hayes (R) | X | 100.00 | 43 | 40 | 86 | 91 | 45 | 60 | 50 | 38 | 40 | 28 | 47 | 59 | 40 | 68 | 64 | 80 | 44 | 52 | 0 | 22 | 3 | 575,000$ | ||||
10 | Gavin Hain (R) | X | 100.00 | 56 | 55 | 81 | 88 | 56 | 60 | 50 | 34 | 70 | 27 | 40 | 63 | 40 | 66 | 63 | 85 | 44 | 52 | 0 | 21 | 3 | 575,000$ | ||||
11 | Jaxsen Wiebe (R) | X | 100.00 | 64 | 63 | 70 | 84 | 65 | 60 | 50 | 34 | 40 | 23 | 44 | 59 | 40 | 68 | 64 | 80 | 35 | 51 | 0 | 22 | 3 | 575,000$ | ||||
12 | Philippe Daoust | X | 100.00 | 44 | 41 | 85 | 75 | 46 | 60 | 50 | 39 | 70 | 47 | 30 | 55 | 40 | 70 | 65 | 75 | 32 | 50 | 0 | 23 | 3 | 575,000$ | ||||
13 | Troy Stecher | X | 100.00 | 69 | 42 | 78 | 78 | 49 | 80 | 80 | 51 | 40 | 49 | 52 | 78 | 40 | 84 | 82 | 40 | 38 | 67 | 0 | 30 | 3 | 1,750,000$ | ||||
14 | William Trudeau | X | 100.00 | 51 | 52 | 70 | 75 | 56 | 74 | 69 | 41 | 40 | 39 | 44 | 54 | 40 | 68 | 71 | 80 | 75 | 57 | 0 | 22 | 2 | 925,000$ | ||||
15 | Lleyton Moore (R) | X | 100.00 | 43 | 44 | 81 | 91 | 41 | 55 | 50 | 40 | 40 | 32 | 48 | 65 | 40 | 68 | 62 | 80 | 40 | 56 | 0 | 22 | 3 | 575,000$ | ||||
16 | Mason Millman | X | 100.00 | 61 | 49 | 77 | 75 | 56 | 55 | 50 | 36 | 40 | 42 | 30 | 57 | 40 | 70 | 63 | 75 | 39 | 55 | 0 | 23 | 3 | 575,000$ | ||||
17 | Ronan Seeley | X | 100.00 | 74 | 61 | 84 | 75 | 59 | 62 | 57 | 36 | 40 | 37 | 34 | 50 | 40 | 68 | 65 | 80 | 42 | 55 | 0 | 22 | 3 | 575,000$ | ||||
18 | Tyrel Bauer | X | 100.00 | 55 | 70 | 60 | 75 | 71 | 60 | 55 | 31 | 40 | 27 | 34 | 50 | 40 | 68 | 64 | 80 | 36 | 53 | 0 | 22 | 3 | 575,000$ | ||||
19 | Xavier Bouchard (R) | X | 100.00 | 62 | 59 | 75 | 75 | 65 | 55 | 50 | 31 | 40 | 31 | 30 | 50 | 40 | 72 | 64 | 70 | 35 | 53 | 0 | 24 | 1 | 750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 58 | 51 | 79 | 80 | 57 | 64 | 56 | 42 | 47 | 37 | 44 | 58 | 41 | 72 | 68 | 71 | 43 | 55 |
Astuces sur les filtres (anglais seulement)
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 | Adam Huska | 100.00 | 75 | 50 | 60 | 97 | 50 | 50 | 50 | 50 | 50 | 50 | 87 | 78 | 64 | 55 | 69 | 59 | 0 | 27 | 1 | 935,000$ | |
2 | Filip Lindberg (R) | 100.00 | 77 | 50 | 60 | 82 | 50 | 50 | 50 | 50 | 50 | 50 | 40 | 74 | 62 | 65 | 42 | 57 | 0 | 25 | 1 | 750,000$ | |
Rayé | |||||||||||||||||||||||
1 | Amir Miftakhov | 100.00 | 77 | 50 | 60 | 82 | 50 | 50 | 50 | 50 | 50 | 50 | 60 | 72 | 61 | 70 | 30 | 56 | 0 | 24 | 1 | 825,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 76 | 50 | 60 | 87 | 50 | 50 | 50 | 50 | 50 | 50 | 62 | 75 | 62 | 63 | 47 | 57 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Jeff Hackett | 51 | 64 | 49 | 47 | 86 | 87 | 58 | CAN | 56 | 2 | 100,000$ |
Astuces sur les filtres (anglais seulement)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Laurent Dauphin | ![]() | C | 20 | 2 | 5 | 7 | -5 | 14 | 0 | 21 | 38 | 19 | 6 | 13 | 10.53% | 3 | 175 | 8.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 64.29% | 238 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 4 |
2 | William Trudeau | ![]() | D | 20 | 3 | 2 | 5 | -6 | 12 | 0 | 19 | 17 | 10 | 1 | 4 | 30.00% | 14 | 175 | 8.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.57 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
3 | William Dufour | ![]() | LW | 20 | 1 | 3 | 4 | -5 | 0 | 0 | 9 | 12 | 5 | 6 | 11 | 20.00% | 1 | 175 | 8.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 30.77% | 13 | 0 | 0 | 0 | 0 | 0.46 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 |
Statistiques d’équipe totales ou en moyenne | 60 | 6 | 10 | 16 | -16 | 26 | 0 | 49 | 67 | 34 | 13 | 28 | 17.65% | 18 | 526 | 8.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 62.55% | 251 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 3 | 7 | 7 |
Astuces sur les filtres (anglais seulement)
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Statistiques d’équipe totales ou en moyenne | 0.000 | 0.00 | 0 | 0.000 |
Astuces sur les filtres (anglais seulement)
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 | 2038 | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | 2039 | 2040 | 2041 | 2042 | 2043 | 2044 | 2045 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Huska | ![]() | G | 27 | 1997-05-12 | No | 218 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 935,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Alex Chiasson | ![]() | RW | 34 | 1990-10-01 | No | 208 Lbs | 6 ft4 | No | No | Yes | 2 | Pro & Farm | 2,250,000$ | 0$ | 0$ | No | 2,250,000$ | Lien / Lien NHL | ||||||||
Amir Miftakhov | ![]() | G | 24 | 2000-04-26 | No | 182 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 825,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Avery Hayes | ![]() | RW | 22 | 2002-10-10 | Yes | 175 Lbs | 5 ft10 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Colin White | ![]() | C | 27 | 1997-01-30 | No | 194 Lbs | 6 ft1 | No | No | Yes | 1 | Pro & Farm | 2,178,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Filip Lindberg | ![]() | G | 25 | 1999-01-31 | Yes | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Gavin Hain | ![]() | C | 21 | 2003-04-03 | Yes | 194 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Ivan Miroshnichenko | ![]() | LW | 20 | 2004-02-04 | Yes | 185 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien NHL | |||||||
Jared Davidson | ![]() | LW | 22 | 2002-07-07 | Yes | 183 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien NHL | |||||||
Jaxsen Wiebe | ![]() | RW | 22 | 2002-05-16 | Yes | 203 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Laurent Dauphin | ![]() | C | 29 | 1995-03-27 | No | 186 Lbs | 6 ft0 | Yes | No | No | 3 | Pro & Farm | 950,000$ | 0$ | 0$ | No | 950,000$ | 950,000$ | Lien / Lien NHL | |||||||
Lleyton Moore | ![]() | D | 22 | 2002-02-27 | Yes | 176 Lbs | 5 ft8 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Luke Toporowski | ![]() | LW | 23 | 2001-04-12 | No | 180 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Mason Millman | ![]() | D | 23 | 2001-07-18 | No | 186 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Philippe Daoust | ![]() | C | 23 | 2001-05-11 | No | 169 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Ronan Seeley | ![]() | D | 22 | 2002-08-02 | No | 192 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
Ryder Rolston | ![]() | LW | 23 | 2001-10-31 | Yes | 200 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien NHL | |||||||
Troy Stecher | ![]() | D | 30 | 1994-04-07 | No | 184 Lbs | 5 ft10 | Yes | No | No | 3 | Pro & Farm | 1,750,000$ | 0$ | 0$ | No | 1,750,000$ | 1,750,000$ | Lien / Lien NHL | |||||||
Tyrel Bauer | ![]() | D | 22 | 2002-03-23 | No | 207 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 575,000$ | 0$ | 0$ | No | 575,000$ | 575,000$ | Lien / Lien NHL | |||||||
William Dufour | ![]() | LW | 22 | 2002-01-28 | No | 212 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||
William Trudeau | ![]() | D | 22 | 2002-10-11 | No | 190 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien / Lien NHL | ||||||||
Xavier Bouchard | ![]() | D | 24 | 2000-02-28 | Yes | 198 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
22 | 24.05 | 191 Lbs | 6 ft1 | 2.41 | 901,727$ |
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 | Laurent Dauphin | William Dufour | 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 | William Trudeau | 20 | 1 | 2 | 2 | ||
4 | 10 | 1 | 2 | 2 |
Attaque en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en svantage 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 |
, Laurent Dauphin, William Dufour | , Laurent Dauphin | William Dufour |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, William Trudeau, | William Trudeau, |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Astuces sur les filtres (anglais seulement)
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 | ![]() | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 26 | 23 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 8 | 0.667 | 26 | 49 | 75 | 0 | 0 | 24 | 27 | 20 | 6 | 207 | 210 | 224 | 216 | 45 | 196 | 45 | 46 | 162 | 25 | 4 | 16.00% | 21 | 3 | 85.71% | 1 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 |
2 | ![]() | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 29 | 29 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 20 | 18 | 2 | 8 | 0.571 | 29 | 55 | 84 | 0 | 0 | 24 | 27 | 20 | 6 | 273 | 210 | 224 | 216 | 45 | 260 | 73 | 56 | 168 | 34 | 6 | 17.65% | 27 | 3 | 88.89% | 2 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 |
3 | ![]() | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 22 | 22 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 8 | 0.571 | 22 | 43 | 65 | 0 | 0 | 24 | 27 | 20 | 6 | 215 | 210 | 224 | 216 | 45 | 179 | 61 | 99 | 180 | 23 | 3 | 13.04% | 41 | 7 | 82.93% | 0 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 |
Total | 20 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 77 | 74 | 3 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 33 | 0 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 44 | 41 | 3 | 24 | 0.600 | 77 | 147 | 224 | 0 | 0 | 24 | 27 | 20 | 6 | 695 | 210 | 224 | 216 | 45 | 635 | 179 | 201 | 510 | 82 | 13 | 15.85% | 89 | 13 | 85.39% | 3 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 | |
_Since Last GM Reset | 20 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 77 | 74 | 3 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 33 | 0 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 44 | 41 | 3 | 24 | 0.600 | 77 | 147 | 224 | 0 | 0 | 24 | 27 | 20 | 6 | 695 | 210 | 224 | 216 | 45 | 635 | 179 | 201 | 510 | 82 | 13 | 15.85% | 89 | 13 | 85.39% | 3 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 | |
_Vs Conference | 20 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 77 | 74 | 3 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 33 | 0 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 44 | 41 | 3 | 24 | 0.600 | 77 | 147 | 224 | 0 | 0 | 24 | 27 | 20 | 6 | 695 | 210 | 224 | 216 | 45 | 635 | 179 | 201 | 510 | 82 | 13 | 15.85% | 89 | 13 | 85.39% | 3 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 | |
_Vs Division | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 26 | 23 | 3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 13 | 12 | 1 | 8 | 0.667 | 26 | 49 | 75 | 0 | 0 | 24 | 27 | 20 | 6 | 207 | 210 | 224 | 216 | 45 | 196 | 45 | 46 | 162 | 25 | 4 | 16.00% | 21 | 3 | 85.71% | 1 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 |
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 |
20 | 24 | W1 | 77 | 147 | 224 | 695 | 635 | 179 | 201 | 510 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
20 | 12 | 8 | 0 | 0 | 0 | 0 | 77 | 74 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
9 | 5 | 4 | 0 | 0 | 0 | 0 | 33 | 33 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 7 | 4 | 0 | 0 | 0 | 0 | 44 | 41 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 4 | 2 | 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 |
---|---|---|---|---|---|---|
82 | 13 | 15.85% | 89 | 13 | 85.39% | 3 |
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 |
---|---|---|---|---|---|---|---|
210 | 224 | 216 | 45 | 24 | 27 | 20 | 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 |
301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% |
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 |
448 | 315 | 579 | 153 | 244 | 113 |
Derniers matchs joués
Astuces sur les filtres (anglais seulement)
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 | 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 | Alexei Tereschenko | 1334 | 263 | 402 | 665 | 79 | 928 | 1779 | 1772 | 2370 | 11.10% | 807 | 21731 | 16.29 | 54 | 91 | 145 | 254 | 7 | 10 | 17 | 68 | 41 | 17 | 52.28% | 7 | 0.61 | 5 | 29 |
2 | Denis Parshin | 551 | 202 | 198 | 400 | -67 | 129 | 455 | 1012 | 1755 | 11.51% | 158 | 11570 | 21.00 | 44 | 67 | 111 | 282 | 8 | 1 | 9 | 51 | 26 | 13 | 35.58% | 3 | 0.69 | 13 | 39 |
3 | Jori Lehtera | 162 | 109 | 121 | 230 | 14 | 180 | 323 | 507 | 701 | 15.55% | 100 | 4033 | 24.90 | 29 | 36 | 65 | 110 | 1 | 3 | 4 | 19 | 11 | 7 | 58.62% | 3 | 1.14 | 5 | 17 |
4 | Luca Caputi | 383 | 65 | 115 | 180 | -86 | 245 | 463 | 621 | 638 | 10.19% | 69 | 6498 | 16.97 | 12 | 35 | 47 | 112 | 1 | 1 | 2 | 9 | 8 | 6 | 40.97% | 2 | 0.55 | 1 | 7 |
5 | Craig MacDonald | 326 | 64 | 94 | 158 | -1 | 76 | 288 | 599 | 682 | 9.38% | 78 | 5677 | 17.42 | 11 | 19 | 30 | 105 | 0 | 2 | 2 | 11 | 11 | 8 | 41.90% | 0 | 0.56 | 10 | 26 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Yann Danis | 342 | 158 | 143 | 34 | 0.903 | 2.53 | 20245 | 67 | 24 | 852 | 8767 | 2214 | 14 | 6 | 0.741 | 158 |
2 | Christopher Gibson | 82 | 47 | 29 | 6 | 0.900 | 2.48 | 4930 | 6 | 6 | 204 | 2046 | 0 | 1 | 1 | 0.800 | 25 |
3 | Jamie Storr | 83 | 44 | 31 | 7 | 0.905 | 3.00 | 4966 | 0 | 1 | 248 | 2617 | 1173 | 4 | 0 | 0.630 | 27 |
4 | Magnus Hellberg | 81 | 43 | 29 | 9 | 0.889 | 2.67 | 4840 | 2 | 8 | 215 | 1940 | 0 | 2 | 3 | 0.783 | 23 |
5 | Carter Hutton | 117 | 42 | 60 | 12 | 0.896 | 2.54 | 6892 | 4 | 6 | 292 | 2818 | 0 | 2 | 0 | 0.719 | 64 |
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 |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2017 | 82 | 40 | 31 | 0 | 2 | 1 | 2 | 6 | 276 | 254 | 22 | 41 | 22 | 13 | 0 | 1 | 1 | 1 | 3 | 139 | 116 | 23 | 41 | 18 | 18 | 0 | 1 | 0 | 1 | 3 | 137 | 138 | -1 | 85 | 276 | 461 | 737 | 0 | 1 | 0 | 64 | 104 | 104 | 2644 | 0 | 804 | 943 | 877 | 2617 | 937 | 1079 | 1902 | 270 | 58 | 21.48% | 257 | 52 | 79.77% | 7 | 976 | 1809 | 53.95% | 1024 | 1991 | 51.43% | 714 | 1392 | 51.29% | 1640 | 831 | 1853 | 882 | 1652 | 822 |
2018 | 82 | 16 | 51 | 0 | 3 | 5 | 3 | 4 | 247 | 356 | -109 | 41 | 7 | 27 | 0 | 1 | 3 | 2 | 1 | 122 | 182 | -60 | 41 | 9 | 24 | 0 | 2 | 2 | 1 | 3 | 125 | 174 | -49 | 43 | 247 | 399 | 646 | 1 | 0 | 0 | 52 | 105 | 84 | 2532 | 0 | 639 | 998 | 878 | 2801 | 898 | 873 | 1703 | 198 | 40 | 20.20% | 225 | 60 | 73.33% | 3 | 911 | 1770 | 51.47% | 891 | 1646 | 54.13% | 748 | 1406 | 53.20% | 1585 | 788 | 1686 | 802 | 1695 | 864 |
2019 | 81 | 27 | 36 | 0 | 7 | 4 | 6 | 1 | 261 | 273 | -12 | 41 | 15 | 18 | 0 | 3 | 1 | 4 | 0 | 151 | 148 | 3 | 40 | 12 | 18 | 0 | 4 | 3 | 2 | 1 | 110 | 125 | -15 | 72 | 261 | 409 | 670 | 4 | 4 | 0 | 71 | 92 | 85 | 2493 | 0 | 699 | 867 | 866 | 2442 | 802 | 1110 | 1727 | 201 | 53 | 26.37% | 234 | 60 | 74.36% | 5 | 916 | 1863 | 49.17% | 916 | 1837 | 49.86% | 604 | 1165 | 51.85% | 1577 | 774 | 1626 | 815 | 1719 | 849 |
2020 | 82 | 31 | 32 | 0 | 4 | 5 | 4 | 6 | 232 | 243 | -11 | 41 | 16 | 19 | 0 | 3 | 1 | 1 | 1 | 125 | 133 | -8 | 41 | 15 | 13 | 0 | 1 | 4 | 3 | 5 | 107 | 110 | -3 | 75 | 232 | 362 | 594 | 1 | 2 | 0 | 40 | 99 | 85 | 2282 | 0 | 543 | 927 | 788 | 2474 | 789 | 1419 | 1595 | 229 | 63 | 27.51% | 217 | 54 | 75.12% | 5 | 889 | 1778 | 50.00% | 914 | 1894 | 48.26% | 576 | 1128 | 51.06% | 1535 | 713 | 1690 | 833 | 1758 | 888 |
2021 | 82 | 36 | 36 | 0 | 0 | 2 | 3 | 5 | 153 | 164 | -11 | 41 | 23 | 15 | 0 | 0 | 2 | 0 | 1 | 86 | 80 | 6 | 41 | 13 | 21 | 0 | 0 | 0 | 3 | 4 | 67 | 84 | -17 | 74 | 153 | 273 | 426 | 0 | 10 | 0 | 42 | 60 | 48 | 1645 | 0 | 594 | 516 | 527 | 1825 | 481 | 964 | 1924 | 382 | 48 | 12.57% | 419 | 44 | 89.50% | 4 | 1201 | 2336 | 51.41% | 1175 | 2485 | 47.28% | 564 | 1118 | 50.45% | 1856 | 1244 | 2076 | 633 | 1034 | 503 |
2022 | 81 | 30 | 33 | 0 | 2 | 3 | 6 | 7 | 166 | 178 | -12 | 40 | 16 | 14 | 0 | 1 | 1 | 3 | 5 | 79 | 83 | -4 | 41 | 14 | 19 | 0 | 1 | 2 | 3 | 2 | 87 | 95 | -8 | 67 | 166 | 280 | 446 | 1 | 8 | 0 | 64 | 56 | 38 | 1581 | 0 | 539 | 541 | 476 | 1807 | 525 | 1030 | 1738 | 356 | 39 | 10.96% | 416 | 54 | 87.02% | 5 | 1124 | 2192 | 51.28% | 1169 | 2443 | 47.85% | 587 | 1115 | 52.65% | 1823 | 1231 | 2092 | 629 | 1017 | 486 |
2023 | 82 | 20 | 41 | 0 | 4 | 1 | 7 | 9 | 149 | 196 | -47 | 41 | 13 | 22 | 0 | 3 | 0 | 2 | 1 | 78 | 91 | -13 | 41 | 7 | 19 | 0 | 1 | 1 | 5 | 8 | 71 | 105 | -34 | 49 | 149 | 259 | 408 | 1 | 5 | 0 | 48 | 48 | 42 | 1491 | 0 | 474 | 494 | 491 | 1844 | 515 | 1092 | 1950 | 429 | 56 | 13.05% | 450 | 56 | 87.56% | 1 | 1279 | 2234 | 57.25% | 1361 | 2471 | 55.08% | 699 | 1166 | 59.95% | 2005 | 1361 | 1963 | 624 | 1045 | 531 |
2024 | 82 | 20 | 48 | 0 | 2 | 2 | 3 | 7 | 147 | 226 | -79 | 41 | 11 | 20 | 0 | 2 | 1 | 2 | 5 | 82 | 107 | -25 | 41 | 9 | 28 | 0 | 0 | 1 | 1 | 2 | 65 | 119 | -54 | 59 | 147 | 258 | 405 | 0 | 3 | 0 | 52 | 51 | 39 | 1362 | 0 | 460 | 447 | 440 | 2025 | 599 | 1138 | 2154 | 356 | 53 | 14.89% | 470 | 75 | 84.04% | 4 | 1092 | 2071 | 52.73% | 1230 | 2557 | 48.10% | 611 | 1158 | 52.76% | 1935 | 1303 | 2015 | 617 | 1034 | 513 |
2025 | 82 | 34 | 36 | 0 | 4 | 1 | 4 | 3 | 253 | 256 | -3 | 41 | 18 | 17 | 0 | 2 | 0 | 2 | 2 | 133 | 133 | 0 | 41 | 16 | 19 | 0 | 2 | 1 | 2 | 1 | 120 | 123 | -3 | 88 | 253 | 462 | 715 | 3 | 4 | 0 | 98 | 74 | 73 | 2402 | 0 | 784 | 810 | 774 | 2115 | 653 | 841 | 1996 | 343 | 55 | 16.03% | 341 | 62 | 81.82% | 3 | 1460 | 2654 | 55.01% | 1271 | 2471 | 51.44% | 685 | 1258 | 54.45% | 2009 | 1450 | 1992 | 574 | 965 | 472 |
2026 | 82 | 34 | 34 | 0 | 7 | 2 | 0 | 5 | 275 | 282 | -7 | 41 | 20 | 18 | 0 | 1 | 0 | 0 | 2 | 138 | 142 | -4 | 41 | 14 | 16 | 0 | 6 | 2 | 0 | 3 | 137 | 140 | -3 | 89 | 275 | 520 | 795 | 1 | 1 | 0 | 107 | 88 | 73 | 2821 | 0 | 935 | 937 | 909 | 2244 | 587 | 966 | 2080 | 355 | 56 | 15.77% | 364 | 72 | 80.22% | 5 | 1247 | 2864 | 43.54% | 1110 | 2600 | 42.69% | 565 | 1292 | 43.73% | 1805 | 1275 | 2193 | 617 | 968 | 449 |
2027 | 82 | 32 | 31 | 0 | 6 | 3 | 3 | 7 | 287 | 301 | -14 | 41 | 15 | 15 | 0 | 5 | 1 | 1 | 4 | 137 | 147 | -10 | 41 | 17 | 16 | 0 | 1 | 2 | 2 | 3 | 150 | 154 | -4 | 92 | 287 | 535 | 822 | 2 | 0 | 0 | 116 | 79 | 83 | 2932 | 0 | 964 | 945 | 975 | 2530 | 678 | 853 | 2187 | 386 | 73 | 18.91% | 362 | 67 | 81.49% | 2 | 1328 | 2946 | 45.08% | 1179 | 2737 | 43.08% | 566 | 1345 | 42.08% | 1843 | 1303 | 2177 | 603 | 963 | 449 |
2030 | 82 | 36 | 32 | 0 | 4 | 1 | 3 | 6 | 281 | 256 | 25 | 41 | 17 | 18 | 0 | 1 | 1 | 0 | 4 | 141 | 130 | 11 | 41 | 19 | 14 | 0 | 3 | 0 | 3 | 2 | 140 | 126 | 14 | 93 | 281 | 516 | 797 | 1 | 3 | 0 | 106 | 93 | 75 | 2987 | 0 | 936 | 1029 | 981 | 2261 | 632 | 803 | 2025 | 397 | 57 | 14.36% | 352 | 65 | 81.53% | 4 | 1312 | 2929 | 44.79% | 1158 | 2634 | 43.96% | 556 | 1263 | 44.02% | 1859 | 1319 | 2152 | 606 | 965 | 454 |
2031 | 82 | 40 | 29 | 0 | 1 | 4 | 2 | 6 | 299 | 262 | 37 | 41 | 21 | 13 | 0 | 0 | 2 | 0 | 5 | 153 | 132 | 21 | 41 | 19 | 16 | 0 | 1 | 2 | 2 | 1 | 146 | 130 | 16 | 96 | 299 | 569 | 868 | 1 | 1 | 0 | 94 | 104 | 98 | 2842 | 0 | 908 | 935 | 951 | 2115 | 594 | 857 | 1996 | 350 | 60 | 17.14% | 341 | 53 | 84.46% | 2 | 1300 | 2799 | 46.45% | 1092 | 2450 | 44.57% | 601 | 1312 | 45.81% | 1803 | 1275 | 2195 | 608 | 971 | 452 |
2032 | 82 | 43 | 29 | 0 | 0 | 2 | 4 | 4 | 217 | 210 | 7 | 41 | 25 | 8 | 0 | 0 | 2 | 3 | 3 | 119 | 93 | 26 | 41 | 18 | 21 | 0 | 0 | 0 | 1 | 1 | 98 | 117 | -19 | 100 | 217 | 372 | 589 | 1 | 5 | 0 | 72 | 78 | 63 | 1923 | 0 | 625 | 632 | 645 | 2056 | 629 | 862 | 1948 | 312 | 43 | 13.78% | 368 | 49 | 86.68% | 4 | 1061 | 2283 | 46.47% | 1173 | 2588 | 45.32% | 553 | 1186 | 46.63% | 1824 | 1251 | 2125 | 610 | 1015 | 486 |
2033 | 82 | 38 | 31 | 0 | 0 | 4 | 6 | 3 | 307 | 273 | 34 | 41 | 23 | 14 | 0 | 0 | 0 | 2 | 2 | 164 | 126 | 38 | 41 | 15 | 17 | 0 | 0 | 4 | 4 | 1 | 143 | 147 | -4 | 95 | 307 | 578 | 885 | 1 | 1 | 0 | 112 | 107 | 82 | 3058 | 0 | 1013 | 1016 | 998 | 2579 | 715 | 844 | 2240 | 301 | 39 | 12.96% | 353 | 61 | 82.72% | 4 | 1226 | 2832 | 43.29% | 1232 | 2743 | 44.91% | 564 | 1320 | 42.73% | 1847 | 1317 | 2162 | 585 | 961 | 452 |
2034 | 82 | 34 | 31 | 0 | 2 | 3 | 5 | 7 | 310 | 299 | 11 | 41 | 19 | 13 | 0 | 1 | 3 | 2 | 3 | 159 | 142 | 17 | 41 | 15 | 18 | 0 | 1 | 0 | 3 | 4 | 151 | 157 | -6 | 92 | 310 | 590 | 900 | 0 | 3 | 0 | 112 | 91 | 100 | 2982 | 0 | 993 | 961 | 992 | 2647 | 762 | 807 | 2173 | 339 | 50 | 14.75% | 349 | 66 | 81.09% | 6 | 1231 | 2857 | 43.09% | 1233 | 2774 | 44.45% | 596 | 1387 | 42.97% | 1868 | 1334 | 2157 | 587 | 962 | 456 |
2035 | 82 | 46 | 29 | 0 | 4 | 1 | 1 | 1 | 323 | 267 | 56 | 41 | 25 | 13 | 0 | 2 | 1 | 0 | 0 | 171 | 128 | 43 | 41 | 21 | 16 | 0 | 2 | 0 | 1 | 1 | 152 | 139 | 13 | 104 | 323 | 616 | 939 | 0 | 4 | 0 | 126 | 91 | 101 | 3021 | 0 | 990 | 1003 | 1006 | 2411 | 636 | 761 | 2173 | 337 | 62 | 18.40% | 327 | 49 | 85.02% | 4 | 1286 | 2871 | 44.79% | 1205 | 2591 | 46.51% | 641 | 1358 | 47.20% | 1897 | 1362 | 2088 | 579 | 958 | 459 |
2036 | 80 | 44 | 27 | 0 | 3 | 2 | 2 | 2 | 334 | 277 | 57 | 40 | 26 | 11 | 0 | 1 | 0 | 0 | 2 | 174 | 136 | 38 | 40 | 18 | 16 | 0 | 2 | 2 | 2 | 0 | 160 | 141 | 19 | 102 | 334 | 635 | 969 | 1 | 3 | 0 | 134 | 110 | 85 | 2954 | 0 | 1004 | 969 | 963 | 2652 | 737 | 797 | 2082 | 350 | 66 | 18.86% | 352 | 61 | 82.67% | 6 | 1230 | 2751 | 44.71% | 1192 | 2732 | 43.63% | 611 | 1311 | 46.61% | 1798 | 1287 | 2119 | 570 | 916 | 433 |
2037 | 82 | 39 | 30 | 0 | 1 | 5 | 3 | 4 | 234 | 226 | 8 | 41 | 21 | 13 | 0 | 1 | 1 | 2 | 3 | 123 | 105 | 18 | 41 | 18 | 17 | 0 | 0 | 4 | 1 | 1 | 111 | 121 | -10 | 95 | 234 | 420 | 654 | 3 | 8 | 73 | 83 | 74 | 5 | 1978 | 614 | 680 | 673 | 33 | 1999 | 602 | 891 | 1949 | 358 | 61 | 17.04% | 384 | 65 | 83.07% | 3 | 1193 | 2358 | 50.59% | 1191 | 2369 | 50.27% | 596 | 1204 | 49.50% | 2013 | 1406 | 1948 | 590 | 1004 | 511 |
2038 | 78 | 40 | 27 | 0 | 4 | 2 | 4 | 1 | 309 | 268 | 41 | 39 | 20 | 12 | 0 | 3 | 1 | 2 | 1 | 169 | 135 | 34 | 39 | 20 | 15 | 0 | 1 | 1 | 2 | 0 | 140 | 133 | 7 | 99 | 309 | 578 | 887 | 2 | 1 | 97 | 103 | 101 | 8 | 2652 | 864 | 905 | 860 | 35 | 2304 | 689 | 758 | 2068 | 321 | 59 | 18.38% | 337 | 51 | 84.87% | 1 | 1263 | 2602 | 48.54% | 1127 | 2420 | 46.57% | 601 | 1283 | 46.84% | 1753 | 1246 | 2066 | 555 | 902 | 424 |
Total Saison régulière | 1632 | 680 | 674 | 0 | 60 | 53 | 71 | 94 | 5060 | 5067 | -7 | 816 | 373 | 313 | 0 | 31 | 22 | 29 | 48 | 2643 | 2489 | 154 | 816 | 307 | 361 | 0 | 29 | 31 | 42 | 46 | 2417 | 2578 | -161 | 1669 | 5060 | 9092 | 14152 | 24 | 67 | 170 | 1696 | 1705 | 1371 | 48582 | 1478 | 15489 | 16503 | 14605 | 45748 | 13460 | 18745 | 39610 | 6570 | 1091 | 16.61% | 6918 | 1176 | 83.00% | 78 | 23525 | 48799 | 48.21% | 22843 | 48433 | 47.16% | 12238 | 25167 | 48.63% | 36283 | 24080 | 40386 | 12929 | 22513 | 10960 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2017 | 23 | 14 | 9 | 0 | 0 | 0 | 0 | 0 | 84 | 67 | 17 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 41 | 32 | 9 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 43 | 35 | 8 | 28 | 84 | 134 | 218 | 0 | 0 | 0 | 18 | 33 | 31 | 721 | 0 | 206 | 279 | 227 | 795 | 253 | 395 | 530 | 81 | 18 | 22.22% | 86 | 19 | 77.91% | 0 | 307 | 561 | 54.72% | 319 | 628 | 50.80% | 227 | 416 | 54.57% | 455 | 224 | 2342 | 1109 | 460 | 231 |
2025 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 7 | 13 | 20 | 0 | 0 | 0 | 3 | 1 | 3 | 119 | 0 | 29 | 36 | 27 | 120 | 29 | 60 | 118 | 20 | 2 | 10.00% | 24 | 5 | 79.17% | 0 | 62 | 154 | 40.26% | 53 | 141 | 37.59% | 31 | 67 | 46.27% | 110 | 77 | 138 | 37 | 60 | 27 |
2026 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 13 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 4 | 8 | 12 | 0 | 0 | 0 | 2 | 0 | 2 | 132 | 0 | 50 | 27 | 47 | 82 | 21 | 28 | 89 | 26 | 1 | 3.85% | 13 | 4 | 69.23% | 0 | 74 | 158 | 46.84% | 37 | 107 | 34.58% | 20 | 45 | 44.44% | 87 | 63 | 113 | 30 | 46 | 20 |
2027 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 0 | 7 | 14 | 21 | 0 | 0 | 0 | 4 | 1 | 2 | 108 | 0 | 29 | 31 | 30 | 153 | 43 | 63 | 107 | 12 | 2 | 16.67% | 25 | 3 | 88.00% | 0 | 35 | 130 | 26.92% | 60 | 163 | 36.81% | 18 | 64 | 28.13% | 82 | 54 | 144 | 36 | 56 | 22 |
2031 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 23 | -6 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 11 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 12 | -1 | 4 | 17 | 34 | 51 | 0 | 0 | 0 | 9 | 5 | 2 | 221 | 0 | 74 | 79 | 65 | 215 | 67 | 54 | 158 | 29 | 5 | 17.24% | 25 | 5 | 80.00% | 0 | 138 | 235 | 58.72% | 92 | 205 | 44.88% | 42 | 87 | 48.28% | 137 | 96 | 156 | 41 | 68 | 32 |
2032 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 16 | 17 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 7 | 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 2 | 16 | 30 | 46 | 0 | 0 | 0 | 8 | 5 | 3 | 155 | 0 | 41 | 52 | 52 | 143 | 31 | 34 | 143 | 19 | 1 | 5.26% | 16 | 2 | 87.50% | 0 | 89 | 167 | 53.29% | 93 | 180 | 51.67% | 42 | 82 | 51.22% | 123 | 86 | 145 | 42 | 69 | 32 |
2033 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 19 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 0 | 8 | 16 | 24 | 0 | 0 | 0 | 3 | 3 | 2 | 153 | 0 | 41 | 46 | 66 | 166 | 43 | 34 | 98 | 14 | 1 | 7.14% | 17 | 1 | 94.12% | 0 | 68 | 115 | 59.13% | 67 | 146 | 45.89% | 36 | 62 | 58.06% | 95 | 72 | 104 | 23 | 40 | 19 |
2034 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 28 | 28 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 13 | 11 | 2 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 17 | -2 | 6 | 28 | 55 | 83 | 0 | 1 | 0 | 9 | 8 | 11 | 251 | 0 | 78 | 74 | 89 | 199 | 53 | 75 | 187 | 34 | 5 | 14.71% | 31 | 5 | 83.87% | 0 | 78 | 232 | 33.62% | 80 | 239 | 33.47% | 43 | 126 | 34.13% | 146 | 103 | 204 | 55 | 85 | 39 |
2035 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 27 | -8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 10 | 17 | -7 | 2 | 19 | 35 | 54 | 0 | 0 | 0 | 6 | 5 | 8 | 204 | 0 | 63 | 71 | 70 | 223 | 64 | 42 | 142 | 17 | 4 | 23.53% | 18 | 3 | 83.33% | 1 | 88 | 186 | 47.31% | 101 | 191 | 52.88% | 36 | 94 | 38.30% | 114 | 83 | 130 | 32 | 55 | 26 |
2036 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 51 | 45 | 6 | 5 | 4 | 1 | 0 | 0 | 0 | 0 | 0 | 24 | 15 | 9 | 6 | 3 | 3 | 0 | 0 | 0 | 0 | 0 | 27 | 30 | -3 | 14 | 51 | 99 | 150 | 0 | 0 | 0 | 22 | 14 | 13 | 478 | 0 | 149 | 158 | 144 | 401 | 103 | 106 | 279 | 44 | 8 | 18.18% | 46 | 10 | 78.26% | 1 | 224 | 418 | 53.59% | 182 | 382 | 47.64% | 94 | 205 | 45.85% | 261 | 191 | 298 | 76 | 125 | 61 |
2037 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 16 | -9 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 7 | -5 | 0 | 7 | 13 | 20 | 0 | 0 | 3 | 1 | 3 | 0 | 73 | 23 | 23 | 26 | 1 | 106 | 31 | 48 | 107 | 25 | 1 | 4.00% | 18 | 5 | 72.22% | 0 | 43 | 110 | 39.09% | 45 | 132 | 34.09% | 25 | 65 | 38.46% | 88 | 59 | 111 | 33 | 52 | 25 |
2038 | 20 | 12 | 8 | 0 | 0 | 0 | 0 | 0 | 77 | 74 | 3 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 33 | 33 | 0 | 11 | 7 | 4 | 0 | 0 | 0 | 0 | 0 | 44 | 41 | 3 | 24 | 77 | 147 | 224 | 0 | 0 | 24 | 27 | 20 | 6 | 695 | 210 | 224 | 216 | 45 | 635 | 179 | 201 | 510 | 82 | 13 | 15.85% | 89 | 13 | 85.39% | 3 | 301 | 649 | 46.38% | 284 | 684 | 41.52% | 158 | 359 | 44.01% | 448 | 315 | 579 | 153 | 244 | 113 |
Total Séries éliminatoires | 97 | 40 | 57 | 0 | 0 | 0 | 0 | 0 | 325 | 359 | -34 | 45 | 20 | 25 | 0 | 0 | 0 | 0 | 0 | 153 | 156 | -3 | 52 | 20 | 32 | 0 | 0 | 0 | 0 | 0 | 172 | 203 | -31 | 80 | 325 | 598 | 923 | 0 | 1 | 27 | 112 | 98 | 83 | 3310 | 233 | 1007 | 1095 | 863 | 3238 | 917 | 1140 | 2468 | 403 | 61 | 15.14% | 408 | 75 | 81.62% | 5 | 1507 | 3115 | 48.38% | 1413 | 3198 | 44.18% | 772 | 1672 | 46.17% | 2152 | 1429 | 4470 | 1672 | 1366 | 651 |
# | 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 | Alexei Tereschenko | 414 | 84 | 134 | 218 | 87 | 395 | 530 | 607 | 721 | 11.65% | 253 | 6844 | 16.53 | 18 | 30 | 48 | 107 | 0 | 0 | 0 | 17 | 14 | 6 | 53.15% | 0 | 0.64 | 0 | 0 |
2 | Laurent Dauphin | 24 | 3 | 5 | 8 | -8 | 14 | 23 | 43 | 22 | 13.64% | 4 | 230 | 9.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.99% | 0 | 0.69 | 0 | 0 |
3 | Radek Smolenak | 5 | 0 | 6 | 6 | 0 | 2 | 10 | 14 | 12 | 0.00% | 0 | 118 | 23.77 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 1.01 | 0 | 0 |
4 | Kirill Gotovets | 5 | 1 | 4 | 5 | 1 | 2 | 20 | 15 | 10 | 10.00% | 3 | 116 | 23.25 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.86 | 0 | 0 |
5 | William Dufour | 24 | 1 | 4 | 5 | -7 | 2 | 10 | 16 | 8 | 12.50% | 1 | 234 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.84% | 0 | 0.43 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Yann Danis | 23 | 14 | 8 | 1 | 0.916 | 2.87 | 1401 | 2 | 0 | 67 | 795 | 343 | 2 | 0 | 0.000 | 0 |
2 | Christopher Gibson | 5 | 1 | 2 | 2 | 0.881 | 3.03 | 337 | 2 | 0 | 17 | 143 | 0 | 0 | 0 | 0.000 | 0 |
3 | Magnus Hellberg | 4 | 0 | 3 | 1 | 0.849 | 3.81 | 252 | 0 | 0 | 16 | 106 | 0 | 0 | 0 | 0.000 | 0 |