Checkers | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: PKayne | Morale : 40 | Moyenne d’équipe : 59 Prochain matchs #14 vs Islanders |
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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 | Alex Chiasson | 0 | X | 100.00 | 70 | 47 | 88 | 62 | 87 | 78 | 71 | 64 | 55 | 65 | 67 | 62 | 64 | 67 | 75 | 0 | 40 | 63 | 0 | 32 | 2 | 1,000,000$ | ||||
2 | Martin Frk | 0 | X | 100.00 | 87 | 48 | 76 | 60 | 86 | 60 | 51 | 69 | 40 | 68 | 73 | 59 | 67 | 64 | 75 | 0 | 40 | 62 | 0 | 29 | 1 | 950,000$ | ||||
3 | Kiefer Sherwood | 0 | X | X | 100.00 | 72 | 44 | 76 | 63 | 82 | 60 | 53 | 69 | 67 | 69 | 70 | 61 | 65 | 59 | 67 | 0 | 40 | 62 | 0 | 27 | 3 | 900,000$ | |||
4 | Jansen Harkins | 0 | X | 100.00 | 58 | 46 | 88 | 62 | 80 | 74 | 72 | 54 | 64 | 61 | 60 | 63 | 60 | 53 | 63 | 0 | 40 | 59 | 0 | 25 | 1 | 900,000$ | ||||
5 | Zac Dalpe | 36 | X | 100.00 | 90 | 54 | 75 | 57 | 84 | 60 | 54 | 59 | 50 | 61 | 65 | 56 | 63 | 69 | 79 | 0 | 40 | 59 | 0 | 32 | 1 | 925,000$ | ||||
6 | Taro Hirose | 0 | X | 100.00 | 57 | 36 | 77 | 66 | 74 | 60 | 56 | 63 | 58 | 69 | 61 | 61 | 61 | 52 | 63 | 0 | 40 | 59 | 0 | 26 | 1 | 900,000$ | ||||
7 | Carson Meyer (R) | 0 | X | 100.00 | 91 | 46 | 77 | 60 | 79 | 60 | 54 | 58 | 40 | 62 | 62 | 61 | 61 | 51 | 64 | 0 | 40 | 58 | 0 | 25 | 1 | 800,000$ | ||||
8 | Frederik Gauthier | 0 | X | X | X | 100.00 | 90 | 60 | 77 | 49 | 95 | 60 | 49 | 58 | 66 | 65 | 58 | 61 | 59 | 66 | 76 | 0 | 40 | 58 | 0 | 27 | 2 | 800,000$ | ||
9 | Anthony Richard | 0 | X | 100.00 | 50 | 42 | 75 | 57 | 79 | 60 | 49 | 58 | 40 | 64 | 61 | 62 | 61 | 59 | 68 | 0 | 40 | 57 | 0 | 25 | 1 | 750,000$ | ||||
10 | Nate Schnarr | 0 | X | 100.00 | 50 | 41 | 75 | 58 | 82 | 60 | 41 | 59 | 60 | 64 | 62 | 62 | 61 | 54 | 63 | 0 | 40 | 57 | 0 | 23 | 1 | 900,000$ | ||||
11 | Danick Martel (A) | 0 | X | 100.00 | 50 | 44 | 75 | 59 | 76 | 60 | 48 | 57 | 40 | 62 | 61 | 62 | 61 | 62 | 70 | 0 | 40 | 57 | 0 | 27 | 2 | 850,000$ | ||||
12 | Connor Bunnaman | 0 | X | 100.00 | 73 | 47 | 77 | 52 | 85 | 60 | 53 | 52 | 79 | 60 | 57 | 62 | 59 | 55 | 65 | 0 | 40 | 56 | 0 | 24 | 1 | 800,000$ | ||||
13 | Jani Hakanpaa | 0 | X | 100.00 | 98 | 50 | 86 | 57 | 91 | 78 | 77 | 64 | 20 | 63 | 61 | 77 | 61 | 56 | 69 | 0 | 40 | 67 | 0 | 30 | 4 | 1,100,000$ | ||||
14 | Mark Borowiecki | 0 | X | 100.00 | 99 | 76 | 79 | 58 | 85 | 73 | 61 | 66 | 20 | 62 | 56 | 76 | 58 | 58 | 72 | 0 | 40 | 66 | 0 | 33 | 1 | 1,000,000$ | ||||
15 | Erik Brannstrom | 0 | X | 100.00 | 60 | 41 | 87 | 64 | 79 | 79 | 69 | 65 | 20 | 69 | 57 | 71 | 59 | 53 | 63 | 0 | 40 | 63 | 0 | 23 | 2 | 1,000,000$ | ||||
16 | Ville Heinola | 0 | X | 100.00 | 61 | 40 | 76 | 62 | 78 | 60 | 46 | 73 | 20 | 70 | 60 | 67 | 60 | 52 | 62 | 0 | 40 | 60 | 0 | 21 | 1 | 1,250,000$ | ||||
17 | Dennis Cholowski | 0 | X | 100.00 | 55 | 44 | 80 | 57 | 84 | 61 | 41 | 71 | 20 | 68 | 59 | 66 | 60 | 56 | 65 | 0 | 40 | 59 | 0 | 24 | 2 | 850,000$ | ||||
18 | Ty Emberson (R) | 0 | X | 100.00 | 50 | 49 | 75 | 53 | 82 | 60 | 36 | 65 | 20 | 61 | 59 | 68 | 60 | 51 | 61 | 0 | 40 | 56 | 0 | 22 | 2 | 850,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Jayden Halbgewachs | 0 | X | 100.00 | 70 | 35 | 75 | 65 | 73 | 60 | 50 | 61 | 40 | 66 | 62 | 59 | 61 | 55 | 65 | 0 | 40 | 58 | 0 | 25 | 2 | 950,000$ | ||||
2 | Cameron Hughes | 0 | X | 100.00 | 50 | 45 | 75 | 60 | 79 | 60 | 37 | 62 | 40 | 68 | 61 | 62 | 61 | 54 | 64 | 0 | 40 | 57 | 0 | 25 | 2 | 850,000$ | ||||
3 | Bokondji Imama | 0 | X | 100.00 | 94 | 80 | 75 | 50 | 88 | 60 | 48 | 52 | 40 | 60 | 58 | 59 | 59 | 53 | 66 | 0 | 40 | 55 | 0 | 26 | 1 | 800,000$ | ||||
4 | Ivan Lodnia (R) | 0 | X | 100.00 | 50 | 44 | 75 | 53 | 82 | 60 | 16 | 52 | 40 | 60 | 57 | 62 | 59 | 53 | 62 | 0 | 40 | 53 | 0 | 23 | 2 | 850,000$ | ||||
5 | Xavier Bernard (R) | 0 | X | 100.00 | 50 | 45 | 75 | 51 | 86 | 60 | 24 | 64 | 20 | 60 | 57 | 68 | 59 | 52 | 61 | 0 | 40 | 56 | 0 | 22 | 2 | 750,000$ | ||||
6 | Josh Brook | 0 | X | 100.00 | 50 | 43 | 75 | 52 | 82 | 60 | 10 | 62 | 20 | 59 | 57 | 68 | 59 | 53 | 63 | 0 | 40 | 55 | 0 | 23 | 1 | 910,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 68 | 48 | 78 | 58 | 82 | 63 | 49 | 62 | 41 | 64 | 61 | 64 | 61 | 57 | 67 | 0 | 40 | 59 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Cayden Primeau | 100.00 | 63 | 74 | 71 | 86 | 67 | 67 | 64 | 68 | 67 | 65 | 66 | 66 | 67 | 0 | 40 | 67 | 0 | |
2 | Michael Houser | 100.00 | 56 | 67 | 64 | 84 | 60 | 60 | 59 | 61 | 61 | 57 | 59 | 80 | 73 | 0 | 40 | 63 | 0 | |
Rayé | ||||||||||||||||||||
1 | Hunter Shepard (R) | 100.00 | 53 | 60 | 57 | 84 | 58 | 57 | 56 | 58 | 58 | 55 | 56 | 75 | 70 | 0 | 40 | 60 | 0 | |
2 | Alexei Melnichuk | 100.00 | 49 | 65 | 62 | 84 | 52 | 53 | 50 | 53 | 53 | 50 | 52 | 70 | 68 | 0 | 40 | 57 | 0 | |
MOYENNE D’ÉQUIPE | 100.00 | 55 | 67 | 64 | 85 | 59 | 59 | 57 | 60 | 60 | 57 | 58 | 73 | 70 | 0 | 40 | 62 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Pascal Vincent | 75 | 75 | 75 | 75 | 75 | 75 | 75 | CAN | 50 | 8 | 500,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | Nom de l’équipe | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Nom du joueur | Nom de l’équipe | POS | Âge | Date de naissance | Nouveau joueur | Poids | Taille | Non-échange | Disponible pour échange | Ballotage forcé | Contrat | Type | Salaire actuel | Salaire restant | Salaire moyen | 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 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Chiasson | Checkers (FLA) | RW | 32 | 10/1/1990 | No | 208 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | 1,000,000$ | Lien | ||||||||
Alexei Melnichuk | Checkers (FLA) | G | 24 | 7/1/1998 | No | 192 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Lien | |||||||||
Anthony Richard | Checkers (FLA) | LW | 25 | 12/20/1996 | No | 186 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Lien | |||||||||
Bokondji Imama | Checkers (FLA) | LW | 26 | 8/3/1996 | No | 221 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Lien | |||||||||
Cameron Hughes | Checkers (FLA) | LW | 25 | 10/9/1996 | No | 181 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Carson Meyer | Checkers (FLA) | RW | 25 | 8/18/1997 | Yes | 184 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Lien | |||||||||
Cayden Primeau | Checkers (FLA) | G | 23 | 8/11/1999 | No | 198 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,250,000$ | 1,236,772$ | 1,250,000$ | 1,236,772$ | 0$ | 0$ | No | Lien | |||||||||
Connor Bunnaman | Checkers (FLA) | C | 24 | 4/16/1998 | No | 207 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | Lien | |||||||||
Danick Martel | Checkers (FLA) | LW | 27 | 12/12/1994 | No | 176 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Dennis Cholowski | Checkers (FLA) | D | 24 | 2/15/1998 | No | 197 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Erik Brannstrom (contrat à 1 volet) | Checkers (FLA) | D | 23 | 9/2/1999 | No | 185 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | 1,000,000$ | Lien | ||||||||
Frederik Gauthier | Checkers (FLA) | C/LW/RW | 27 | 4/26/1995 | No | 239 Lbs | 6 ft5 | No | No | No | 2 | Pro & Farm | 800,000$ | 791,534$ | 800,000$ | 791,534$ | 0$ | 0$ | No | 800,000$ | Lien | ||||||||
Hunter Shepard | Checkers (FLA) | G | 27 | 7/1/1995 | Yes | 209 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien | |||||||||||||
Ivan Lodnia | Checkers (FLA) | RW | 23 | 8/31/1999 | Yes | 195 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Jani Hakanpaa (contrat à 1 volet) | Checkers (FLA) | D | 30 | 3/31/1992 | No | 220 Lbs | 6 ft6 | No | No | No | 4 | Pro & Farm | 1,100,000$ | 1,088,360$ | 1,100,000$ | 1,088,360$ | 0$ | 0$ | No | 1,100,000$ | 1,100,000$ | 1,100,000$ | Lien | ||||||
Jansen Harkins | Checkers (FLA) | C | 25 | 5/23/1997 | No | 182 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | Lien | |||||||||
Jayden Halbgewachs | Checkers (FLA) | LW | 25 | 3/22/1997 | No | 160 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 950,000$ | 939,947$ | 950,000$ | 939,947$ | 0$ | 0$ | No | 950,000$ | Lien | ||||||||
Josh Brook | Checkers (FLA) | D | 23 | 6/17/1999 | No | 192 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 910,000$ | 900,370$ | 910,000$ | 900,370$ | 0$ | 0$ | No | Lien | |||||||||
Kiefer Sherwood | Checkers (FLA) | LW/RW | 27 | 3/31/1995 | No | 194 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | 900,000$ | 900,000$ | Lien | |||||||
Mark Borowiecki | Checkers (FLA) | D | 33 | 7/12/1989 | No | 204 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 989,418$ | 1,000,000$ | 989,418$ | 0$ | 0$ | No | Lien | |||||||||
Martin Frk | Checkers (FLA) | RW | 29 | 10/5/1993 | No | 210 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 950,000$ | 939,947$ | 950,000$ | 939,947$ | 0$ | 0$ | No | Lien | |||||||||
Michael Houser | Checkers (FLA) | G | 30 | 7/1/1992 | No | 185 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | Lien | |||||||||
Nate Schnarr | Checkers (FLA) | C | 23 | 2/25/1999 | No | 185 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | Lien | |||||||||
Taro Hirose | Checkers (FLA) | LW | 26 | 6/30/1996 | No | 162 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 900,000$ | 890,476$ | 900,000$ | 890,476$ | 0$ | 0$ | No | Lien | |||||||||
Ty Emberson | Checkers (FLA) | D | 22 | 5/24/2000 | Yes | 194 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 850,000$ | 841,005$ | 850,000$ | 841,005$ | 0$ | 0$ | No | 850,000$ | Lien | ||||||||
Ville Heinola | Checkers (FLA) | D | 21 | 3/2/2001 | No | 178 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,250,000$ | 1,236,772$ | 1,250,000$ | 1,236,772$ | 0$ | 0$ | No | Lien | |||||||||
Xavier Bernard | Checkers (FLA) | D | 22 | 1/6/2000 | Yes | 200 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 750,000$ | 742,063$ | 750,000$ | 742,063$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Zac Dalpe | Checkers (FLA) | C | 32 | 11/1/1989 | No | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 915,212$ | 925,000$ | 915,212$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
28 | 25.82 | 194 Lbs | 6 ft1 | 1.50 | 877,143$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Kiefer Sherwood | Zac Dalpe | Martin Frk | 42 | 1 | 1 | 3 |
2 | Taro Hirose | Jansen Harkins | Alex Chiasson | 30 | 1 | 1 | 3 |
3 | Danick Martel | Frederik Gauthier | Carson Meyer | 20 | 1 | 2 | 2 |
4 | Anthony Richard | Connor Bunnaman | Nate Schnarr | 8 | 1 | 3 | 1 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Erik Brannstrom | Jani Hakanpaa | 39 | 1 | 2 | 2 | |
2 | Ville Heinola | Mark Borowiecki | 37 | 1 | 2 | 2 | |
3 | Dennis Cholowski | Ty Emberson | 24 | 1 | 2 | 2 | |
4 | Mark Borowiecki | Jani Hakanpaa | 0 | 1 | 2 | 2 |
Attaque en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Kiefer Sherwood | Zac Dalpe | Martin Frk | 60 | 0 | 0 | 5 |
2 | Taro Hirose | Jansen Harkins | Alex Chiasson | 40 | 0 | 0 | 5 |
Défense en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ville Heinola | Erik Brannstrom | 60 | 1 | 0 | 4 | |
2 | Dennis Cholowski | Jani Hakanpaa | 40 | 1 | 0 | 4 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jansen Harkins | Alex Chiasson | 60 | 1 | 4 | 0 |
2 | Connor Bunnaman | Nate Schnarr | 40 | 1 | 4 | 0 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Mark Borowiecki | Jani Hakanpaa | 60 | 1 | 4 | 0 |
2 | Erik Brannstrom | Ty Emberson | 40 | 1 | 4 | 0 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jansen Harkins | 60 | 1 | 4 | 0 | Mark Borowiecki | Jani Hakanpaa | 60 | 1 | 4 | 0 |
2 | Connor Bunnaman | 40 | 1 | 4 | 0 | Erik Brannstrom | Ty Emberson | 40 | 1 | 4 | 0 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jansen Harkins | Alex Chiasson | 60 | 1 | 2 | 2 |
2 | Zac Dalpe | Kiefer Sherwood | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Ville Heinola | Mark Borowiecki | 60 | 1 | 2 | 2 |
2 | Erik Brannstrom | Jani Hakanpaa | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Kiefer Sherwood | Jansen Harkins | Martin Frk | Ville Heinola | Erik Brannstrom |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jansen Harkins | Connor Bunnaman | Alex Chiasson | Mark Borowiecki | Jani Hakanpaa |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Martin Frk, Kiefer Sherwood, Alex Chiasson | Taro Hirose, Martin Frk | Connor Bunnaman |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Erik Brannstrom, Jani Hakanpaa, Mark Borowiecki | Mark Borowiecki | Dennis Cholowski, Jani Hakanpaa |
Tirs de pénalité |
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Martin Frk, Kiefer Sherwood, Alex Chiasson, Zac Dalpe, Danick Martel |
Gardien |
---|
#1 : Cayden Primeau, #2 : Michael Houser |
Lignes d’attaque personnalisées en prolongation |
---|
Jansen Harkins, Martin Frk, Kiefer Sherwood, Alex Chiasson, Zac Dalpe, Taro Hirose, Taro Hirose, Carson Meyer, Frederik Gauthier, Nate Schnarr, Anthony Richard |
Lignes de défense personnalisées en prolongation |
---|
Erik Brannstrom, Jani Hakanpaa, Ville Heinola, Mark Borowiecki, Dennis Cholowski |
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 |
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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 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 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 |
---|---|---|---|---|---|---|---|---|---|---|
7 - 2022-09-15 | 14 | Checkers | - | Islanders | - | |||||
9 - 2022-09-17 | 25 | Checkers | - | Americans | - | |||||
11 - 2022-09-19 | 41 | Checkers | - | Bruins | - | |||||
13 - 2022-09-21 | 56 | Phantoms | - | Checkers | - | |||||
15 - 2022-09-23 | 71 | Crunch | - | Checkers | - | |||||
17 - 2022-09-25 | 90 | Islanders | - | Checkers | - | |||||
19 - 2022-09-27 | 103 | Checkers | - | IceHogs | - | |||||
21 - 2022-09-29 | 112 | Checkers | - | Phantoms | - | |||||
23 - 2022-10-01 | 129 | Senators | - | Checkers | - | |||||
26 - 2022-10-04 | 156 | Checkers | - | Roadrunners | - | |||||
28 - 2022-10-06 | 173 | Checkers | - | Barracuda | - | |||||
30 - 2022-10-08 | 189 | Checkers | - | Reign | - | |||||
31 - 2022-10-09 | 192 | Checkers | - | Gulls | - | |||||
34 - 2022-10-12 | 207 | Wolves | - | Checkers | - | |||||
37 - 2022-10-15 | 226 | Condors | - | Checkers | - | |||||
40 - 2022-10-18 | 253 | Bears | - | Checkers | - | |||||
42 - 2022-10-20 | 262 | Stars | - | Checkers | - | |||||
44 - 2022-10-22 | 275 | Heat | - | Checkers | - | |||||
45 - 2022-10-23 | 289 | Checkers | - | Monsters | - | |||||
48 - 2022-10-26 | 305 | Bruins | - | Checkers | - | |||||
51 - 2022-10-29 | 334 | Thunderbirds | - | Checkers | - | |||||
53 - 2022-10-31 | 351 | Checkers | - | Condors | - | |||||
54 - 2022-11-01 | 358 | Checkers | - | Heat | - | |||||
56 - 2022-11-03 | 373 | Checkers | - | Canucks | - | |||||
58 - 2022-11-05 | 389 | Checkers | - | Firebirds | - | |||||
61 - 2022-11-08 | 408 | Checkers | - | Moose | - | |||||
63 - 2022-11-10 | 419 | Griffins | - | Checkers | - | |||||
65 - 2022-11-12 | 436 | Checkers | - | Crunch | - | |||||
66 - 2022-11-13 | 444 | Firebirds | - | Checkers | - | |||||
68 - 2022-11-15 | 455 | Monsters | - | Checkers | - | |||||
70 - 2022-11-17 | 474 | Penguins | - | Checkers | - | |||||
72 - 2022-11-19 | 488 | Checkers | - | Comets | - | |||||
74 - 2022-11-21 | 504 | Checkers | - | Bruins | - | |||||
76 - 2022-11-23 | 518 | Comets | - | Checkers | - | |||||
78 - 2022-11-25 | 538 | Checkers | - | Islanders | - | |||||
84 - 2022-12-01 | 564 | Rocket | - | Checkers | - | |||||
85 - 2022-12-02 | 575 | Checkers | - | Wolves | - | |||||
87 - 2022-12-04 | 591 | Wolf Pack | - | Checkers | - | |||||
89 - 2022-12-06 | 598 | Roadrunners | - | Checkers | - | |||||
92 - 2022-12-09 | 623 | Checkers | - | Griffins | - | |||||
94 - 2022-12-11 | 637 | Checkers | - | Stars | - | |||||
96 - 2022-12-13 | 656 | Checkers | - | Eagles | - | |||||
98 - 2022-12-15 | 673 | Checkers | - | Silver Knights | - | |||||
100 - 2022-12-17 | 684 | Canucks | - | Checkers | - | |||||
102 - 2022-12-19 | 694 | Checkers | - | Americans | - | |||||
103 - 2022-12-20 | 706 | Checkers | - | Marlies | - | |||||
105 - 2022-12-22 | 720 | Checkers | - | Rocket | - | |||||
107 - 2022-12-24 | 734 | Wild | - | Checkers | - | |||||
109 - 2022-12-26 | 751 | Checkers | - | Wolf Pack | - | |||||
110 - 2022-12-27 | 756 | Checkers | - | Penguins | - | |||||
113 - 2022-12-30 | 781 | Reign | - | Checkers | - | |||||
114 - 2022-12-31 | 789 | Bruins | - | Checkers | - | |||||
123 - 2023-01-09 | 808 | Crunch | - | Checkers | - | |||||
126 - 2023-01-12 | 823 | Barracuda | - | Checkers | - | |||||
128 - 2023-01-14 | 839 | Eagles | - | Checkers | - | |||||
130 - 2023-01-16 | 852 | Checkers | - | Wild | - | |||||
131 - 2023-01-17 | 859 | Checkers | - | Thunderbirds | - | |||||
133 - 2023-01-19 | 870 | Checkers | - | Bears | - | |||||
135 - 2023-01-21 | 884 | Checkers | - | Admirals | - | |||||
137 - 2023-01-23 | 902 | Gulls | - | Checkers | - | |||||
141 - 2023-01-27 | 930 | Americans | - | Checkers | - | |||||
145 - 2023-01-31 | 960 | Checkers | - | Crunch | - | |||||
147 - 2023-02-02 | 975 | Admirals | - | Checkers | - | |||||
149 - 2023-02-04 | 993 | Penguins | - | Checkers | - | |||||
152 - 2023-02-07 | 1016 | Silver Knights | - | Checkers | - | |||||
155 - 2023-02-10 | 1036 | IceHogs | - | Checkers | - | |||||
156 - 2023-02-11 | 1047 | Moose | - | Checkers | - | |||||
161 - 2023-02-16 | 1081 | Rocket | - | Checkers | - | |||||
163 - 2023-02-18 | 1100 | Comets | - | Checkers | - | |||||
165 - 2023-02-20 | 1116 | Checkers | - | Griffins | - | |||||
166 - 2023-02-21 | 1122 | Checkers | - | Phantoms | - | |||||
168 - 2023-02-23 | 1140 | Marlies | - | Checkers | - | |||||
170 - 2023-02-25 | 1156 | Wolf Pack | - | Checkers | - | |||||
172 - 2023-02-27 | 1170 | Checkers | - | Senators | - | |||||
174 - 2023-03-01 | 1186 | Checkers | - | Marlies | - | |||||
175 - 2023-03-02 | 1190 | Checkers | - | Rocket | - | |||||
177 - 2023-03-04 | 1208 | Checkers | - | Monsters | - | |||||
180 - 2023-03-07 | 1229 | Americans | - | Checkers | - | |||||
182 - 2023-03-09 | 1245 | Senators | - | Checkers | - | |||||
184 - 2023-03-11 | 1262 | Checkers | - | Bears | - | |||||
186 - 2023-03-13 | 1279 | Marlies | - | Checkers | - | |||||
189 - 2023-03-16 | 1299 | Wolves | - | Checkers | - |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
41 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
23,768$ | 2,246,000$ | 2,246,000$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
11,884$ | 23,768$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 187 | 11,884$ | 2,222,308$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 82 | 37 | 23 | 0 | 6 | 5 | 5 | 6 | 218 | 177 | 41 | 41 | 19 | 10 | 0 | 5 | 3 | 2 | 2 | 116 | 86 | 30 | 41 | 18 | 13 | 0 | 1 | 2 | 3 | 4 | 102 | 91 | 11 | 107 | 218 | 367 | 585 | 5 | 8 | 49 | 99 | 59 | 20 | 3101 | 1012 | 1099 | 952 | 82 | 2423 | 838 | 76 | 1924 | 115 | 35 | 30.43% | 33 | 9 | 72.73% | 0 | 945 | 1856 | 50.92% | 805 | 1541 | 52.24% | 575 | 1076 | 53.44% | 1759 | 979 | 1591 | 783 | 1646 | 810 |
11 | 82 | 37 | 23 | 0 | 6 | 5 | 5 | 6 | 218 | 177 | 41 | 41 | 19 | 10 | 0 | 5 | 3 | 2 | 2 | 116 | 86 | 30 | 41 | 18 | 13 | 0 | 1 | 2 | 3 | 4 | 102 | 91 | 11 | 107 | 218 | 367 | 585 | 5 | 8 | 49 | 99 | 59 | 20 | 3101 | 1012 | 1099 | 952 | 82 | 2423 | 838 | 76 | 1924 | 115 | 35 | 30.43% | 33 | 9 | 72.73% | 0 | 945 | 1856 | 50.92% | 805 | 1541 | 52.24% | 575 | 1076 | 53.44% | 1759 | 979 | 1591 | 783 | 1646 | 810 |
Total Saison régulière | 164 | 74 | 46 | 0 | 12 | 10 | 10 | 12 | 436 | 354 | 82 | 82 | 38 | 20 | 0 | 10 | 6 | 4 | 4 | 232 | 172 | 60 | 82 | 36 | 26 | 0 | 2 | 4 | 6 | 8 | 204 | 182 | 22 | 214 | 436 | 734 | 1170 | 10 | 16 | 98 | 198 | 118 | 40 | 6202 | 2024 | 2198 | 1904 | 164 | 4846 | 1676 | 152 | 3848 | 230 | 70 | 30.43% | 66 | 18 | 72.73% | 0 | 1890 | 3712 | 50.92% | 1610 | 3082 | 52.24% | 1150 | 2152 | 53.44% | 3518 | 1959 | 3182 | 1567 | 3292 | 1621 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
11 | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 72 | 50 | 22 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 31 | 28 | 3 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 41 | 22 | 19 | 32 | 72 | 123 | 195 | 2 | 3 | 14 | 26 | 29 | 3 | 999 | 294 | 339 | 358 | 8 | 906 | 280 | 51 | 599 | 28 | 7 | 25.00% | 17 | 0 | 100.00% | 0 | 296 | 639 | 46.32% | 253 | 532 | 47.56% | 132 | 312 | 42.31% | 535 | 303 | 513 | 228 | 468 | 231 |
11 | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 72 | 50 | 22 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 31 | 28 | 3 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 41 | 22 | 19 | 32 | 72 | 123 | 195 | 2 | 3 | 14 | 26 | 29 | 3 | 999 | 294 | 339 | 358 | 8 | 906 | 280 | 51 | 599 | 28 | 7 | 25.00% | 17 | 0 | 100.00% | 0 | 296 | 639 | 46.32% | 253 | 532 | 47.56% | 132 | 312 | 42.31% | 535 | 303 | 513 | 228 | 468 | 231 |
Total Séries éliminatoires | 50 | 32 | 18 | 0 | 0 | 0 | 0 | 0 | 144 | 100 | 44 | 24 | 14 | 10 | 0 | 0 | 0 | 0 | 0 | 62 | 56 | 6 | 26 | 18 | 8 | 0 | 0 | 0 | 0 | 0 | 82 | 44 | 38 | 64 | 144 | 246 | 390 | 4 | 6 | 28 | 52 | 58 | 6 | 1998 | 588 | 678 | 716 | 16 | 1812 | 560 | 102 | 1198 | 56 | 14 | 25.00% | 34 | 0 | 100.00% | 0 | 592 | 1278 | 46.32% | 506 | 1064 | 47.56% | 264 | 624 | 42.31% | 1071 | 607 | 1027 | 457 | 936 | 462 |