![]() | Hurricanes |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Christopher Dorion | Morale : 50 | Moyenne d’équipe : 70 |
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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 | Anze Kopitar (C) | X | 100.00 | 63 | 38 | 95 | 73 | 88 | 91 | 87 | 79 | 93 | 84 | 72 | 81 | 76 | 89 | 93 | 0 | 50 | 75 | 0 | 33 | 3 | 10,000,000$ | ||||
2 | Artemi Panarin (A) | X | 100.00 | 56 | 34 | 94 | 84 | 69 | 90 | 93 | 91 | 58 | 95 | 77 | 62 | 86 | 75 | 74 | 0 | 50 | 75 | 0 | 28 | 5 | 11,642,857$ | ||||
3 | Filip Forsberg | X | 100.00 | 73 | 36 | 89 | 81 | 78 | 89 | 87 | 83 | 59 | 82 | 86 | 62 | 88 | 73 | 74 | 0 | 50 | 75 | 0 | 26 | 1 | 6,000,000$ | ||||
4 | David Pastrnak | X | 100.00 | 62 | 35 | 89 | 83 | 73 | 90 | 87 | 84 | 52 | 81 | 86 | 63 | 88 | 70 | 72 | 0 | 50 | 74 | 0 | 24 | 2 | 6,666,666$ | ||||
5 | Mathieu Joseph | X | 100.00 | 74 | 38 | 90 | 76 | 73 | 81 | 87 | 73 | 63 | 68 | 71 | 76 | 69 | 66 | 68 | 0 | 50 | 70 | 0 | 23 | 1 | 737,500$ | ||||
6 | Anthony Beauvillier | X | 100.00 | 64 | 38 | 92 | 76 | 68 | 87 | 91 | 71 | 59 | 73 | 72 | 67 | 76 | 68 | 71 | 0 | 50 | 69 | 0 | 23 | 0 | 0$ | ||||
7 | Artturi Lehkonen | X | 100.00 | 73 | 34 | 92 | 73 | 69 | 84 | 87 | 68 | 63 | 67 | 71 | 82 | 68 | 70 | 69 | 0 | 50 | 69 | 0 | 25 | 0 | 0$ | ||||
8 | Dylan Strome | X | 100.00 | 55 | 37 | 88 | 74 | 83 | 87 | 89 | 76 | 84 | 73 | 75 | 65 | 77 | 66 | 67 | 0 | 50 | 69 | 0 | 23 | 1 | 3,000,000$ | ||||
9 | Tanner Jeannot | X | 100.00 | 90 | 83 | 63 | 67 | 82 | 86 | 84 | 68 | 59 | 67 | 73 | 82 | 59 | 64 | 68 | 0 | 50 | 69 | 0 | 23 | 0 | 0$ | ||||
10 | Kevin Labanc | X | 100.00 | 68 | 37 | 82 | 73 | 69 | 86 | 81 | 75 | 58 | 72 | 70 | 64 | 75 | 69 | 71 | 0 | 50 | 68 | 0 | 24 | 3 | 4,725,000$ | ||||
11 | Noel Acciari | X | 100.00 | 86 | 38 | 84 | 64 | 72 | 80 | 79 | 65 | 84 | 67 | 64 | 90 | 62 | 73 | 72 | 0 | 50 | 68 | 0 | 28 | 1 | 1,666,667$ | ||||
12 | Tyson Jost | X | 100.00 | 64 | 35 | 86 | 72 | 71 | 82 | 87 | 66 | 76 | 67 | 65 | 79 | 72 | 66 | 73 | 0 | 50 | 67 | 0 | 22 | 0 | 0$ | ||||
13 | Kevin Shattenkirk (A) | X | 100.00 | 64 | 35 | 90 | 73 | 77 | 92 | 87 | 71 | 30 | 76 | 62 | 77 | 53 | 83 | 74 | 0 | 50 | 70 | 0 | 31 | 2 | 3,900,000$ | ||||
14 | Tony DeAngelo | X | 100.00 | 59 | 40 | 73 | 76 | 68 | 90 | 79 | 74 | 30 | 84 | 71 | 66 | 57 | 68 | 70 | 0 | 50 | 69 | 0 | 24 | 1 | 4,800,000$ | ||||
15 | Vince Dunn | X | 100.00 | 64 | 59 | 78 | 77 | 75 | 91 | 89 | 73 | 30 | 78 | 69 | 65 | 57 | 68 | 69 | 0 | 50 | 69 | 0 | 23 | 0 | 0$ | ||||
16 | Brandon Carlo | X | 100.00 | 78 | 42 | 86 | 67 | 96 | 90 | 87 | 63 | 30 | 66 | 64 | 88 | 52 | 69 | 67 | 0 | 50 | 68 | 0 | 23 | 0 | 0$ | ||||
17 | Matt Grzelcyk | X | 100.00 | 57 | 33 | 87 | 74 | 65 | 90 | 87 | 71 | 30 | 77 | 64 | 61 | 55 | 70 | 72 | 0 | 50 | 67 | 0 | 26 | 3 | 3,687,500$ | ||||
18 | Nicolas Beaudin | X | 100.00 | 59 | 38 | 91 | 69 | 66 | 79 | 86 | 66 | 30 | 67 | 65 | 62 | 55 | 63 | 65 | 0 | 50 | 65 | 0 | 21 | 1 | 1,135,833$ | ||||
19 | Keaton Thompson | X | 100.00 | 62 | 41 | 69 | 56 | 71 | 66 | 68 | 55 | 30 | 54 | 53 | 56 | 45 | 67 | 69 | 0 | 50 | 58 | 0 | 25 | 0 | 0$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 68 | 41 | 84 | 67 | 75 | 82 | 83 | 66 | 54 | 68 | 65 | 67 | 62 | 69 | 71 | 0 | 50 | 66 |
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 | Andrei Vasilevskiy | 100.00 | 97 | 95 | 90 | 88 | 96 | 95 | 97 | 96 | 95 | 97 | 96 | 76 | 81 | 0 | 50 | 77 | 0 | 26 | 7 | 9,500,000$ | |
2 | Brian Elliott | 100.00 | 86 | 79 | 73 | 82 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 87 | 91 | 0 | 50 | 71 | 0 | 35 | 0 | 0$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 86 | 85 | 82 | 82 | 85 | 84 | 86 | 85 | 84 | 86 | 85 | 79 | 86 | 0 | 50 | 71 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Ken Hitchcock | 82 | 75 | 77 | 75 | 99 | 95 | 39 | CAN | 70 | 4 | 100,000$ |
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 | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
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Andrei Vasilevskiy | ![]() | G | 26 | 1994-07-25 | No | 225 Lbs | 6 ft3 | No | No | No | 7 | Pro & Farm | 9,500,000$ | 9,500,000$ | 9,500,000$ | No | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | 9,500,000$ | Lien / Lien NHL | |||
Anthony Beauvillier | ![]() | LW | 23 | 1997-06-08 | No | 180 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Anze Kopitar | ![]() | C | 33 | 1987-08-24 | No | 225 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 10,000,000$ | 10,000,000$ | 10,000,000$ | No | 10,000,000$ | 10,000,000$ | Lien / Lien NHL | |||||||
Artemi Panarin | ![]() | LW | 28 | 1991-10-30 | No | 175 Lbs | 6 ft0 | No | No | No | 5 | Pro & Farm | 11,642,857$ | 11,642,857$ | 11,642,857$ | No | 11,642,857$ | 11,642,857$ | 11,642,857$ | 11,642,857$ | Lien / Lien NHL | |||||
Artturi Lehkonen | ![]() | LW | 25 | 1995-07-04 | No | 179 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Brandon Carlo | ![]() | D | 23 | 1996-11-26 | No | 220 Lbs | 6 ft6 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Brian Elliott | ![]() | G | 35 | 1985-04-09 | No | 209 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
David Pastrnak | ![]() | RW | 24 | 1996-05-25 | No | 195 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 6,666,666$ | 6,666,666$ | 6,666,666$ | No | 6,666,666$ | Lien / Lien NHL | ||||||||
Dylan Strome | ![]() | C | 23 | 1997-03-07 | No | 200 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | Lien / Lien NHL | |||||||||
Filip Forsberg | ![]() | LW | 26 | 1994-08-13 | No | 205 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 6,000,000$ | 6,000,000$ | 6,000,000$ | No | Lien / Lien NHL | |||||||||
Keaton Thompson | ![]() | D | 25 | 1995-09-14 | No | 182 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Kevin Labanc | ![]() | RW | 24 | 1995-12-12 | No | 185 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 4,725,000$ | 4,725,000$ | 4,725,000$ | No | 4,725,000$ | 4,725,000$ | Lien / Lien NHL | |||||||
Kevin Shattenkirk | ![]() | D | 31 | 1989-01-29 | No | 212 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 3,900,000$ | 3,900,000$ | 3,900,000$ | No | 3,900,000$ | Lien / Lien NHL | ||||||||
Mathieu Joseph | ![]() | RW | 23 | 1997-02-09 | No | 190 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 737,500$ | 737,500$ | 737,500$ | No | Lien / Lien NHL | |||||||||
Matt Grzelcyk | ![]() | D | 26 | 1994-01-05 | No | 178 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 3,687,500$ | 3,687,500$ | 3,687,500$ | No | 3,687,500$ | 3,687,500$ | Lien / Lien NHL | |||||||
Nicolas Beaudin | ![]() | D | 21 | 1999-10-07 | No | 168 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,135,833$ | 1,135,833$ | 1,135,833$ | No | Lien / Lien NHL | |||||||||
Noel Acciari | ![]() | C | 28 | 1991-12-01 | No | 209 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 1,666,667$ | 1,666,667$ | 1,666,667$ | No | Lien / Lien NHL | |||||||||
Tanner Jeannot | ![]() | LW | 23 | 1997-05-29 | No | 208 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Tony DeAngelo | ![]() | D | 24 | 1995-10-24 | No | 180 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 4,800,000$ | 4,800,000$ | 4,800,000$ | No | Lien / Lien NHL | |||||||||
Tyson Jost | ![]() | C | 22 | 1998-03-14 | No | 187 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | ||||||||||
Vince Dunn | ![]() | D | 23 | 1996-10-29 | No | 203 Lbs | 6 ft0 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
21 | 25.52 | 196 Lbs | 6 ft0 | 1.48 | 3,212,477$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
67,462,023$ | 50,122,023$ | 39,555,357$ | 21,142,857$ | 21,142,857$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Anze Kopitar | David Pastrnak | 30 | 0 | 1 | 4 |
2 | Artturi Lehkonen | Noel Acciari | Filip Forsberg | 30 | 0 | 1 | 4 |
3 | Anthony Beauvillier | Dylan Strome | Mathieu Joseph | 25 | 1 | 1 | 3 |
4 | Tanner Jeannot | Tyson Jost | Kevin Labanc | 15 | 1 | 1 | 3 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brandon Carlo | Tony DeAngelo | 40 | 1 | 3 | 1 | |
2 | Kevin Shattenkirk | Matt Grzelcyk | 35 | 1 | 3 | 1 | |
3 | Vince Dunn | Nicolas Beaudin | 25 | 1 | 4 | 0 | |
4 | Kevin Shattenkirk | Nicolas Beaudin | 0 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Anthony Beauvillier | Mathieu Joseph | 60 | 2 | 0 | 3 |
2 | Filip Forsberg | Noel Acciari | Artturi Lehkonen | 40 | 2 | 0 | 3 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | David Pastrnak | Kevin Shattenkirk | 60 | 1 | 2 | 2 | |
2 | Brandon Carlo | Tony DeAngelo | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Noel Acciari | Artturi Lehkonen | 60 | 1 | 3 | 1 |
2 | Anthony Beauvillier | David Pastrnak | 40 | 1 | 3 | 1 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Vince Dunn | Brandon Carlo | 60 | 1 | 2 | 2 |
2 | Vince Dunn | Matt Grzelcyk | 40 | 1 | 3 | 1 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Noel Acciari | 60 | 1 | 3 | 1 | Vince Dunn | Kevin Shattenkirk | 60 | 1 | 3 | 1 |
2 | Dylan Strome | 40 | 1 | 3 | 1 | Brandon Carlo | Matt Grzelcyk | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Noel Acciari | David Pastrnak | 60 | 1 | 3 | 1 |
2 | Anthony Beauvillier | Artturi Lehkonen | 40 | 1 | 3 | 1 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Matt Grzelcyk | Brandon Carlo | 60 | 2 | 2 | 1 |
2 | Nicolas Beaudin | Kevin Shattenkirk | 40 | 2 | 2 | 1 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Kevin Labanc | Noel Acciari | David Pastrnak | Vince Dunn | Kevin Shattenkirk |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Kevin Labanc | Noel Acciari | David Pastrnak | Vince Dunn | Brandon Carlo |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Artemi Panarin, Mathieu Joseph, Kevin Labanc | Artemi Panarin, Mathieu Joseph | Artemi Panarin |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Matt Grzelcyk, Kevin Shattenkirk, Vince Dunn | Matt Grzelcyk | Kevin Shattenkirk, Matt Grzelcyk |
Tirs de pénalité |
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Kevin Labanc, David Pastrnak, Anthony Beauvillier, Artturi Lehkonen, Artemi Panarin |
Gardien |
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#1 : Brian Elliott, #2 : Andrei Vasilevskiy |
Lignes d’attaque personnalisées en prolongation |
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Artemi Panarin, David Pastrnak, Anthony Beauvillier, Anze Kopitar, Noel Acciari, Mathieu Joseph, Mathieu Joseph, Kevin Labanc, Dylan Strome, Artturi Lehkonen, Tanner Jeannot |
Lignes de défense personnalisées en prolongation |
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Brandon Carlo, Tony DeAngelo, Vince Dunn, Kevin Shattenkirk, Matt Grzelcyk |
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 | 0.00% | 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 | ||||||||
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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 | ||||||||
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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 |
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Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6000 | 5000 | 2000 | 4000 | 1000 |
Prix des billets | 100 | 60 | 35 | 25 | 200 |
Assistance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 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$ | 18000 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 67,462,023$ | 22,666,666$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
0$ | 0$ | 0$ | 13 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 968,722,832$ | 968,722,832$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 81,500,000$ | 81,500,000$ | -60,200,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Lien |
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Adam Carlson | ![]() | Lien | |||
Anthony Peluso | ![]() | Lien | |||
Cameron Darcy | ![]() | Lien | |||
Colton Beck | ![]() | Lien | |||
Corey Tropp | ![]() | Lien | |||
Leo Loof | ![]() | 10 | 86 | ||
Myles Powell | ![]() | Lien | |||
Taylor Leier | ![]() | Lien |
Année | R1 | R2 | R3 | R4 | R5 | R6 |
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11 | ![]() | |||||
12 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | |
13 | ![]() | ![]() | ![]() | |||
14 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
15 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
Notre premier article de notre nouveau journal ''The Lhsrsm Insider'' sera sur les Ducks de Anaheim et leur DG Olivier Paquin
Q:Quel est ton objectif cette année?
R:Mon objectif cette année c'est la coupe.
Q:Comment explique-tu que ton équipe fonctionne autant a plein de niveau?
R:Mon équipe marche autant car elle est super bien balancer.
J'ai une bonne force de frappe et j'accorde bcp de valeur au bon contrat.
A.K.A. un joueur a 10M vaut pas cher lol.
J'ai un bon équilibre d'expérience de def et de jeune.
Les équipes rempli de jeunes vedettes ne fonctionne jamais.
Q:Rumeur de transaction en vue ?
R:Si j'ai une offre qui vaut la peine je vais échanger un des mes top 3 RW.
Les équipes booster ne gagnent jamais.
J'essaie de m'affaiblir un petit peu.
J'aime drafter alors j essaie de ramasser un first ou deux de plus.
Je me suis quand même déjà pas mal affaibli, une dernière petite shot et on essaie ça comme ça haha.
Je suis toujours a l'affût d'une jeune star aussi
Ou d'un top top RW.
Q:Qu elle a été ta formule au cours des dernières année?
R:Ma formule çà été la patience, j'avais hérité de la pire équipe de la ligue. J'ai gérer ça comme une business pendant quelques années que j'étais dans cave (buy low sell high)
Mais là je dois gérer une équipe c'est plus difficile haha
Merci a Olivier de Anaheim d'avoir eu la gentillesse de répondre a mes questions .
Mon analyse des Ducks en quelques mots.
Une des meilleurs équipes de ligue. Comme Olivier a dis la patience es de mise pour bien bâtir son équipe.
Olivier es un vrai requin en affaire se qui a pu mener a certains conflits dans le passer.
Je vous donne rendez-vous pour nos prochains articles.
JF Gibo (![]() Good job :) |
Mathieu Turgeon (![]() Sa stratégie c'est plus le harcèlement...
#AllOfUsToo |
Nouveau commentaire |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2 | 82 | 37 | 32 | 0 | 3 | 2 | 5 | 3 | 238 | 227 | 11 | 41 | 19 | 14 | 0 | 1 | 1 | 3 | 3 | 111 | 102 | 9 | 41 | 18 | 18 | 0 | 2 | 1 | 2 | 0 | 127 | 125 | 2 | 95 | 238 | 414 | 652 | 1 | 4 | 0 | 81 | 77 | 72 | 2392 | 0 | 798 | 772 | 794 | 2348 | 715 | 878 | 1492 | 401 | 67 | 16.71% | 300 | 50 | 83.33% | 1 | 1510 | 2915 | 51.80% | 1430 | 2783 | 51.38% | 675 | 1302 | 51.84% | 2026 | 1414 | 1912 | 606 | 1033 | 519 |
3 | 82 | 17 | 48 | 0 | 1 | 3 | 4 | 9 | 155 | 254 | -99 | 41 | 11 | 21 | 0 | 1 | 1 | 2 | 5 | 75 | 107 | -32 | 41 | 6 | 27 | 0 | 0 | 2 | 2 | 4 | 80 | 147 | -67 | 56 | 155 | 271 | 426 | 2 | 4 | 0 | 48 | 47 | 55 | 1939 | 0 | 637 | 643 | 626 | 2327 | 708 | 786 | 1551 | 342 | 40 | 11.70% | 282 | 51 | 81.91% | 0 | 1199 | 2570 | 46.65% | 1264 | 2686 | 47.06% | 540 | 1216 | 44.41% | 1887 | 1283 | 2059 | 618 | 1046 | 516 |
4 | 82 | 39 | 29 | 0 | 3 | 0 | 4 | 7 | 217 | 202 | 15 | 41 | 18 | 16 | 0 | 3 | 0 | 1 | 3 | 102 | 107 | -5 | 41 | 21 | 13 | 0 | 0 | 0 | 3 | 4 | 115 | 95 | 20 | 99 | 217 | 389 | 606 | 1 | 4 | 0 | 78 | 61 | 71 | 2162 | 0 | 712 | 692 | 735 | 2177 | 674 | 462 | 1690 | 223 | 40 | 17.94% | 197 | 38 | 80.71% | 3 | 1325 | 2600 | 50.96% | 1335 | 2518 | 53.02% | 603 | 1208 | 49.92% | 2052 | 1448 | 1876 | 582 | 1051 | 535 |
5 | 82 | 16 | 47 | 0 | 5 | 9 | 2 | 3 | 189 | 277 | -88 | 41 | 9 | 23 | 0 | 3 | 5 | 0 | 1 | 94 | 140 | -46 | 41 | 7 | 24 | 0 | 2 | 4 | 2 | 2 | 95 | 137 | -42 | 58 | 189 | 324 | 513 | 2 | 2 | 0 | 65 | 60 | 57 | 1954 | 0 | 640 | 665 | 627 | 2627 | 789 | 642 | 1598 | 266 | 50 | 18.80% | 251 | 53 | 78.88% | 2 | 1191 | 2471 | 48.20% | 1350 | 2792 | 48.35% | 644 | 1274 | 50.55% | 1866 | 1262 | 2047 | 614 | 1061 | 517 |
6 | 82 | 34 | 32 | 0 | 2 | 9 | 4 | 1 | 240 | 244 | -4 | 41 | 16 | 15 | 0 | 1 | 5 | 3 | 1 | 128 | 121 | 7 | 41 | 18 | 17 | 0 | 1 | 4 | 1 | 0 | 112 | 123 | -11 | 90 | 240 | 428 | 668 | 1 | 4 | 0 | 81 | 89 | 64 | 2692 | 0 | 817 | 921 | 925 | 2779 | 814 | 571 | 1924 | 324 | 73 | 22.53% | 244 | 49 | 79.92% | 1 | 1345 | 2976 | 45.19% | 1422 | 3037 | 46.82% | 604 | 1288 | 46.89% | 1884 | 1311 | 2066 | 601 | 1022 | 503 |
7 | 82 | 35 | 30 | 0 | 4 | 5 | 4 | 4 | 254 | 210 | 44 | 41 | 18 | 17 | 0 | 1 | 1 | 2 | 2 | 130 | 111 | 19 | 41 | 17 | 13 | 0 | 3 | 4 | 2 | 2 | 124 | 99 | 25 | 95 | 254 | 448 | 702 | 2 | 8 | 0 | 87 | 79 | 80 | 2802 | 0 | 928 | 910 | 921 | 2514 | 688 | 503 | 1858 | 267 | 52 | 19.48% | 224 | 43 | 80.80% | 4 | 1643 | 3087 | 53.22% | 1482 | 2815 | 52.65% | 669 | 1243 | 53.82% | 1992 | 1415 | 1971 | 578 | 1017 | 506 |
8 | 82 | 26 | 43 | 0 | 3 | 4 | 2 | 4 | 175 | 208 | -33 | 41 | 13 | 21 | 0 | 2 | 2 | 1 | 2 | 97 | 109 | -12 | 41 | 13 | 22 | 0 | 1 | 2 | 1 | 2 | 78 | 99 | -21 | 70 | 175 | 314 | 489 | 1 | 4 | 0 | 63 | 55 | 52 | 2313 | 0 | 764 | 757 | 772 | 2226 | 602 | 755 | 1812 | 326 | 46 | 14.11% | 318 | 60 | 81.13% | 2 | 1469 | 2833 | 51.85% | 1421 | 2753 | 51.62% | 571 | 1118 | 51.07% | 1979 | 1363 | 1946 | 612 | 1040 | 518 |
9 | 82 | 36 | 31 | 0 | 5 | 8 | 0 | 2 | 237 | 227 | 10 | 41 | 18 | 14 | 0 | 4 | 5 | 0 | 0 | 114 | 107 | 7 | 41 | 18 | 17 | 0 | 1 | 3 | 0 | 2 | 123 | 120 | 3 | 92 | 237 | 439 | 676 | 2 | 7 | 0 | 77 | 73 | 82 | 2322 | 0 | 790 | 759 | 749 | 2396 | 750 | 711 | 1884 | 311 | 58 | 18.65% | 295 | 50 | 83.05% | 1 | 1385 | 2773 | 49.95% | 1407 | 2803 | 50.20% | 650 | 1253 | 51.88% | 1973 | 1375 | 1952 | 599 | 1035 | 514 |
10 | 82 | 30 | 37 | 0 | 5 | 5 | 2 | 3 | 267 | 266 | 1 | 41 | 15 | 21 | 0 | 2 | 1 | 1 | 1 | 127 | 123 | 4 | 41 | 15 | 16 | 0 | 3 | 4 | 1 | 2 | 140 | 143 | -3 | 82 | 267 | 474 | 741 | 1 | 1 | 101 | 80 | 79 | 11 | 2835 | 907 | 951 | 945 | 47 | 2608 | 820 | 456 | 1863 | 239 | 58 | 24.27% | 193 | 43 | 77.72% | 1 | 1495 | 3031 | 49.32% | 1514 | 2926 | 51.74% | 675 | 1311 | 51.49% | 1925 | 1347 | 1991 | 592 | 1044 | 518 |
Total Saison régulière | 738 | 270 | 329 | 0 | 31 | 45 | 27 | 36 | 1972 | 2115 | -143 | 369 | 137 | 162 | 0 | 18 | 21 | 13 | 18 | 978 | 1027 | -49 | 369 | 133 | 167 | 0 | 13 | 24 | 14 | 18 | 994 | 1088 | -94 | 737 | 1972 | 3501 | 5473 | 13 | 38 | 101 | 660 | 620 | 544 | 21411 | 907 | 7037 | 7064 | 6196 | 22002 | 6560 | 5764 | 15672 | 2699 | 484 | 17.93% | 2304 | 437 | 81.03% | 15 | 12562 | 25256 | 49.74% | 12625 | 25113 | 50.27% | 5631 | 11213 | 50.22% | 17587 | 12221 | 17823 | 5407 | 9352 | 4651 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
4 | 25 | 16 | 9 | 0 | 0 | 0 | 0 | 0 | 75 | 59 | 16 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 36 | 28 | 8 | 13 | 8 | 5 | 0 | 0 | 0 | 0 | 0 | 39 | 31 | 8 | 32 | 75 | 138 | 213 | 0 | 1 | 0 | 29 | 24 | 22 | 668 | 0 | 206 | 232 | 223 | 694 | 202 | 168 | 500 | 68 | 13 | 19.12% | 68 | 12 | 82.35% | 0 | 414 | 805 | 51.43% | 402 | 828 | 48.55% | 188 | 378 | 49.74% | 645 | 458 | 563 | 177 | 319 | 164 |
6 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 18 | 24 | -6 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 9 | 10 | -1 | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 14 | -5 | 6 | 18 | 32 | 50 | 0 | 0 | 0 | 8 | 7 | 3 | 210 | 0 | 75 | 72 | 63 | 244 | 68 | 58 | 147 | 24 | 5 | 20.83% | 21 | 6 | 71.43% | 0 | 123 | 244 | 50.41% | 108 | 239 | 45.19% | 53 | 119 | 44.54% | 156 | 112 | 178 | 48 | 85 | 40 |
7 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 19 | -4 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 4 | 15 | 28 | 43 | 0 | 0 | 0 | 9 | 1 | 5 | 199 | 0 | 76 | 52 | 70 | 188 | 47 | 34 | 134 | 23 | 4 | 17.39% | 15 | 2 | 86.67% | 0 | 114 | 227 | 50.22% | 104 | 214 | 48.60% | 54 | 97 | 55.67% | 141 | 99 | 145 | 41 | 73 | 35 |
Total Séries éliminatoires | 38 | 21 | 17 | 0 | 0 | 0 | 0 | 0 | 108 | 102 | 6 | 18 | 10 | 8 | 0 | 0 | 0 | 0 | 0 | 53 | 49 | 4 | 20 | 11 | 9 | 0 | 0 | 0 | 0 | 0 | 55 | 53 | 2 | 42 | 108 | 198 | 306 | 0 | 1 | 0 | 46 | 32 | 30 | 1077 | 0 | 357 | 356 | 356 | 1126 | 317 | 260 | 781 | 115 | 22 | 19.13% | 104 | 20 | 80.77% | 0 | 651 | 1276 | 51.02% | 614 | 1281 | 47.93% | 295 | 594 | 49.66% | 943 | 669 | 886 | 268 | 477 | 239 |