![]() | Rocket |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Mathieu Girard | Morale : 50 | Moyenne d'Équipe : 62 |
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 | Tom Kuhnhackl | X | X | 100.00 | 67 | 42 | 83 | 64 | 81 | 74 | 67 | 63 | 59 | 62 | 61 | 69 | 64 | 75 | 66 | 0 | 38 | 64 | 0 | 27 | 1 | 850,000$ | |||
2 | Henrik Borgstrom | X | 100.00 | 64 | 43 | 86 | 64 | 83 | 80 | 77 | 66 | 73 | 61 | 59 | 63 | 66 | 65 | 62 | 0 | 50 | 63 | 0 | 22 | 1 | 1,491,666$ | ||||
3 | Jason Robertson | X | 100.00 | 66 | 46 | 90 | 66 | 85 | 79 | 74 | 63 | 56 | 61 | 61 | 64 | 63 | 61 | 62 | 0 | 50 | 63 | 0 | 20 | 3 | 894,167$ | ||||
4 | Riley Tufte | X | 100.00 | 84 | 55 | 85 | 58 | 99 | 85 | 87 | 56 | 52 | 55 | 53 | 62 | 58 | 63 | 62 | 0 | 52 | 62 | 0 | 21 | 3 | 995,833$ | ||||
5 | Kieffer Bellows | X | 100.00 | 63 | 50 | 84 | 61 | 76 | 83 | 80 | 59 | 52 | 57 | 60 | 58 | 61 | 63 | 65 | 0 | 50 | 61 | 0 | 21 | 2 | 1,106,666$ | ||||
6 | Taro Hirose | X | 100.00 | 56 | 39 | 87 | 64 | 65 | 75 | 71 | 63 | 58 | 64 | 59 | 57 | 63 | 67 | 64 | 0 | 50 | 61 | 0 | 23 | 1 | 1,350,000$ | ||||
7 | Alexander Chmelevski (R) | X | 100.00 | 55 | 45 | 87 | 60 | 71 | 79 | 78 | 59 | 63 | 61 | 58 | 56 | 59 | 61 | 63 | 0 | 50 | 60 | 0 | 20 | 3 | 927,500$ | ||||
8 | Matthew Phillips | X | 100.00 | 53 | 39 | 87 | 61 | 57 | 83 | 78 | 62 | 58 | 60 | 59 | 57 | 62 | 63 | 61 | 0 | 50 | 60 | 0 | 21 | 2 | 750,000$ | ||||
9 | Shane Gersich | X | 100.00 | 55 | 49 | 86 | 58 | 70 | 87 | 89 | 56 | 53 | 54 | 55 | 57 | 56 | 67 | 64 | 0 | 50 | 59 | 0 | 23 | 1 | 700,000$ | ||||
10 | Jonas Siegenthaler | X | 100.00 | 69 | 45 | 76 | 63 | 85 | 82 | 79 | 62 | 30 | 69 | 54 | 84 | 48 | 65 | 64 | 0 | 41 | 65 | 0 | 22 | 1 | 888,333$ | ||||
11 | Adam Boqvist | X | 100.00 | 63 | 39 | 88 | 70 | 69 | 76 | 72 | 68 | 30 | 66 | 61 | 59 | 52 | 61 | 62 | 0 | 50 | 64 | 0 | 19 | 3 | 1,744,167$ | ||||
12 | Kyle Wood | X | 100.00 | 86 | 55 | 84 | 59 | 99 | 88 | 87 | 58 | 30 | 57 | 54 | 62 | 46 | 67 | 64 | 0 | 50 | 63 | 0 | 23 | 1 | 700,000$ | ||||
13 | Sami Niku | X | 100.00 | 58 | 42 | 88 | 66 | 73 | 75 | 69 | 64 | 30 | 65 | 58 | 63 | 54 | 67 | 64 | 0 | 50 | 63 | 0 | 22 | 1 | 916,666$ | ||||
14 | Cal Foote | X | 100.00 | 76 | 55 | 86 | 59 | 91 | 89 | 92 | 58 | 30 | 57 | 55 | 60 | 46 | 63 | 62 | 0 | 50 | 62 | 0 | 20 | 2 | 1,425,000$ | ||||
15 | Kyle Capobianco | X | 100.00 | 61 | 47 | 84 | 64 | 77 | 79 | 73 | 62 | 30 | 63 | 59 | 61 | 55 | 65 | 62 | 0 | 50 | 62 | 0 | 22 | 1 | 894,166$ | ||||
16 | Louie Belpedio | X | 100.00 | 59 | 49 | 84 | 61 | 72 | 81 | 80 | 62 | 30 | 60 | 59 | 63 | 55 | 67 | 64 | 0 | 50 | 62 | 0 | 23 | 1 | 700,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Pavel Shen | X | 100.00 | 58 | 41 | 89 | 56 | 74 | 76 | 75 | 55 | 60 | 53 | 54 | 57 | 56 | 61 | 62 | 0 | 50 | 58 | 0 | 20 | 3 | 925,000$ | ||||
2 | David Quenneville | X | 100.00 | 53 | 41 | 87 | 56 | 66 | 73 | 72 | 54 | 30 | 55 | 52 | 53 | 45 | 63 | 62 | 0 | 50 | 57 | 0 | 21 | 2 | 925,000$ | ||||
MOYENNE D'ÉQUIPE | 100.00 | 64 | 46 | 86 | 62 | 77 | 80 | 78 | 61 | 46 | 60 | 57 | 61 | 56 | 65 | 63 | 0 | 49 | 62 |
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 | 77 | 82 | 80 | 83 | 76 | 75 | 77 | 76 | 75 | 77 | 76 | 61 | 65 | 0 | 50 | 66 | 0 | |
2 | Alex Nedeljkovic | 100.00 | 76 | 70 | 68 | 72 | 75 | 74 | 76 | 75 | 74 | 76 | 75 | 67 | 71 | 0 | 50 | 65 | 0 | |
Rayé | ||||||||||||||||||||
1 | Artyom Zagidulin | 100.00 | 72 | 79 | 77 | 76 | 71 | 70 | 72 | 71 | 70 | 72 | 71 | 69 | 73 | 0 | 50 | 64 | 0 | |
MOYENNE D'ÉQUIPE | 100.00 | 75 | 77 | 75 | 77 | 74 | 73 | 75 | 74 | 73 | 75 | 74 | 66 | 70 | 0 | 50 | 65 |
Nom du Coach | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|
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 |
---|
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 |
---|
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 | Cap Salariale | Cap Salariale Restant | Exclus du Cap Salarial | Salaire Année 2 | Salaire Année 3 | Salaire Année 4 | Salaire Année 5 | Salaire Année 6 | Salaire Année 7 | Salaire Année 8 | Salaire Année 9 | Salaire Année 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Boqvist | ![]() | D | 19 | 2000-08-15 | No | 179 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 1,744,167$ | 0$ | 0$ | No | 1,744,167$ | 1,744,167$ | Lien | |||||||
Alex Nedeljkovic | ![]() | G | 23 | 1996-01-07 | No | 189 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 737,500$ | 0$ | 0$ | No | 737,500$ | Lien / Lien NHL | ||||||||
Alexander Chmelevski | ![]() | C | 20 | 1999-06-09 | Yes | 180 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 927,500$ | 0$ | 0$ | No | 927,500$ | 927,500$ | ||||||||
Artyom Zagidulin | ![]() | G | 24 | 1995-08-08 | No | 180 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
Cal Foote | ![]() | D | 20 | 1998-12-13 | No | 221 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 1,425,000$ | 0$ | 0$ | No | 1,425,000$ | Lien / Lien NHL | ||||||||
Cayden Primeau | ![]() | G | 20 | 1999-08-11 | No | 198 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 966,666$ | 0$ | 0$ | No | 966,666$ | 966,666$ | Lien | |||||||
David Quenneville | ![]() | D | 21 | 1998-03-13 | No | 189 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Henrik Borgstrom | ![]() | C | 22 | 1997-08-06 | No | 199 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 1,491,666$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jason Robertson | ![]() | LW | 20 | 1999-07-22 | No | 210 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 894,167$ | 0$ | 0$ | No | 894,167$ | 894,167$ | Lien | |||||||
Jonas Siegenthaler | ![]() | D | 22 | 1997-05-06 | No | 210 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 888,333$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Kieffer Bellows | ![]() | LW | 21 | 1998-06-10 | No | 195 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 1,106,666$ | 0$ | 0$ | No | 1,106,666$ | Lien / Lien NHL | ||||||||
Kyle Capobianco | ![]() | D | 22 | 1997-08-13 | No | 196 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 894,166$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Kyle Wood | ![]() | D | 23 | 1996-05-04 | No | 235 Lbs | 6 ft7 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Louie Belpedio | ![]() | D | 23 | 1996-05-14 | No | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Matthew Phillips | ![]() | RW | 21 | 1998-04-06 | No | 140 Lbs | 5 ft7 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Pavel Shen | ![]() | C | 20 | 1999-08-14 | No | 183 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | 925,000$ | Lien | |||||||
Riley Tufte | ![]() | LW | 21 | 1998-04-10 | No | 235 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 995,833$ | 0$ | 0$ | No | 995,833$ | 995,833$ | Lien | |||||||
Sami Niku | ![]() | D | 22 | 1996-10-10 | No | 176 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 916,666$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Shane Gersich | ![]() | LW | 23 | 1996-07-10 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Taro Hirose | ![]() | LW | 23 | 1996-06-30 | No | 162 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 1,350,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Tom Kuhnhackl | ![]() | LW/RW | 27 | 1992-01-21 | No | 196 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | Lien / Lien NHL |
Joueurs Total | Âge Moyen | Poids Moyen | Taille Moyenne | Contrat Moyen | Salaire Moyen 1e Année |
---|---|---|---|---|---|
21 | 21.76 | 193 Lbs | 6 ft1 | 1.81 | 991,111$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Jason Robertson | 30 | 1 | 2 | 2 | ||
2 | Riley Tufte | Matthew Phillips | 30 | 1 | 2 | 2 | |
3 | Taro Hirose | Henrik Borgstrom | Kieffer Bellows | 25 | 1 | 2 | 2 |
4 | Kieffer Bellows | Alexander Chmelevski | 15 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Adam Boqvist | Sami Niku | 30 | 1 | 2 | 2 | |
2 | Kyle Wood | Cal Foote | 30 | 1 | 2 | 2 | |
3 | Louie Belpedio | Kyle Capobianco | 25 | 1 | 2 | 2 | |
4 | Adam Boqvist | Sami Niku | 15 | 1 | 2 | 2 |
Attaque en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier Gauche | Centre | Ailier Droit | % Temps | PHY | DF | OF |
1 | Jason Robertson | 60 | 1 | 2 | 2 | ||
2 | Riley Tufte | Matthew Phillips | 40 | 1 | 2 | 2 |
Défense en Avantage Numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF | |
1 | Adam Boqvist | Sami Niku | 60 | 1 | 2 | 2 | |
2 | Kyle Wood | Cal Foote | 40 | 1 | 2 | 2 |
Attaque à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Jason Robertson | 60 | 1 | 2 | 2 | |
2 | Henrik Borgstrom | 40 | 1 | 2 | 2 |
Défense à 4 en Désavantage Numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Adam Boqvist | Sami Niku | 60 | 1 | 2 | 2 |
2 | Kyle Wood | Cal Foote | 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 | Adam Boqvist | Sami Niku | 60 | 1 | 2 | 2 | |
2 | Jason Robertson | 40 | 1 | 2 | 2 | Kyle Wood | Cal Foote | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % Temps | PHY | DF | OF |
1 | Jason Robertson | 60 | 1 | 2 | 2 | |
2 | Henrik Borgstrom | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % Temps | PHY | DF | OF |
1 | Adam Boqvist | Sami Niku | 60 | 1 | 2 | 2 |
2 | Kyle Wood | Cal Foote | 40 | 1 | 2 | 2 |
Attaque Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Jason Robertson | Adam Boqvist | Sami Niku |
Défense Dernière Minute | ||||
---|---|---|---|---|
Ailier Gauche | Centre | Ailier Droit | Défense | Défense |
Jason Robertson | Adam Boqvist | Sami Niku |
Attaquants Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Shane Gersich, Taro Hirose, Alexander Chmelevski | Shane Gersich, Taro Hirose | Alexander Chmelevski |
Défenseurs Supplémentaires | ||
---|---|---|
Normal | Avantage Numérique | Désavantage Numérique |
Louie Belpedio, Kyle Capobianco, Kyle Wood | Louie Belpedio | Kyle Capobianco, Kyle Wood |
Tirs de Pénalité |
---|
, Jason Robertson, , Henrik Borgstrom, Riley Tufte |
Gardien |
---|
#1 : Cayden Primeau, #2 : Alex Nedeljkovic |
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 |
Ligue | 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 Pénalité | Mises en Échec | Buts en Filet Désert | Blanchissage |
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 Éxtérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
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 |
---|
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% |
Revenus | |||||
---|---|---|---|---|---|
Matchs à domicile Restants | Assistance Moyenne - % | Revenus Moyen par Match | Revenus Annuels 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 Coachs |
0$ | 2,081,335$ | 1,056,668$ | 0$ |
Cap Salarial Par Jour | Cap salarial à ce jour | Joueurs Inclut dans la Cap Salariale | Joueurs Exclut dans la Cap Salariale |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Éstimation | |||
---|---|---|---|
Revenus de la Saison Éstimés | Jours Restants de la Saison | Dépenses Par Jour | Dépenses de la Saison Éstimées |
0$ | 8 | 0$ | 0$ |
Ligue | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Saison Régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2 | 82 | 30 | 40 | 0 | 2 | 4 | 3 | 3 | 290 | 279 | 11 | 41 | 19 | 18 | 0 | 0 | 2 | 1 | 1 | 144 | 124 | 20 | 41 | 11 | 22 | 0 | 2 | 2 | 2 | 2 | 146 | 155 | -9 | 60 | 290 | 493 | 783 | 1 | 4 | 135 | 86 | 64 | 9 | 2985 | 1003 | 953 | 1003 | 43 | 2534 | 682 | 609 | 1276 | 353 | 73 | 20.68% | 243 | 47 | 80.66% | 4 | 1624 | 2860 | 56.78% | 1266 | 2387 | 53.04% | 779 | 1329 | 58.62% | 2036 | 1448 | 1887 | 594 | 1036 | 517 |
3 | 82 | 44 | 24 | 0 | 0 | 4 | 3 | 7 | 260 | 193 | 67 | 41 | 21 | 14 | 0 | 0 | 2 | 1 | 3 | 127 | 98 | 29 | 41 | 23 | 10 | 0 | 0 | 2 | 2 | 4 | 133 | 95 | 38 | 88 | 260 | 445 | 705 | 2 | 5 | 106 | 80 | 71 | 4 | 3123 | 1006 | 1018 | 1067 | 65 | 2217 | 660 | 954 | 1540 | 322 | 56 | 17.39% | 373 | 61 | 83.65% | 6 | 1881 | 3047 | 61.73% | 1467 | 2534 | 57.89% | 776 | 1270 | 61.10% | 2196 | 1559 | 1738 | 578 | 1045 | 546 |
4 | 82 | 28 | 38 | 0 | 0 | 4 | 9 | 3 | 199 | 234 | -35 | 41 | 12 | 21 | 0 | 0 | 3 | 4 | 1 | 99 | 119 | -20 | 41 | 16 | 17 | 0 | 0 | 1 | 5 | 2 | 100 | 115 | -15 | 56 | 199 | 327 | 526 | 1 | 2 | 74 | 70 | 46 | 14 | 2120 | 695 | 670 | 738 | 63 | 2616 | 717 | 1266 | 1754 | 566 | 123 | 21.73% | 490 | 95 | 80.61% | 1 | 1247 | 2725 | 45.76% | 1105 | 2977 | 37.12% | 481 | 1186 | 40.56% | 2054 | 1420 | 1933 | 614 | 1001 | 504 |
5 | 82 | 6 | 65 | 0 | 1 | 2 | 5 | 3 | 158 | 390 | -232 | 41 | 4 | 31 | 0 | 0 | 1 | 3 | 2 | 81 | 185 | -104 | 41 | 2 | 34 | 0 | 1 | 1 | 2 | 1 | 77 | 205 | -128 | 12 | 158 | 264 | 422 | 0 | 0 | 63 | 51 | 38 | 10 | 2072 | 665 | 683 | 702 | 51 | 4019 | 1185 | 255 | 1688 | 196 | 55 | 28.06% | 102 | 34 | 66.67% | 3 | 625 | 2124 | 29.43% | 821 | 3125 | 26.27% | 332 | 1296 | 25.62% | 1446 | 998 | 2586 | 587 | 938 | 403 |
6 | 82 | 2 | 76 | 0 | 0 | 2 | 0 | 2 | 163 | 625 | -462 | 41 | 1 | 37 | 0 | 0 | 2 | 0 | 1 | 94 | 310 | -216 | 41 | 1 | 39 | 0 | 0 | 0 | 0 | 1 | 69 | 315 | -246 | 4 | 163 | 306 | 469 | 0 | 0 | 68 | 45 | 50 | 0 | 2430 | 830 | 756 | 822 | 27 | 6396 | 1873 | 206 | 1997 | 133 | 13 | 9.77% | 88 | 24 | 72.73% | 0 | 659 | 2143 | 30.75% | 990 | 3712 | 26.67% | 408 | 1494 | 27.31% | 1088 | 713 | 2962 | 581 | 884 | 338 |
7 | 82 | 35 | 31 | 0 | 8 | 1 | 1 | 6 | 273 | 228 | 45 | 41 | 22 | 15 | 0 | 4 | 0 | 0 | 0 | 142 | 100 | 42 | 41 | 13 | 16 | 0 | 4 | 1 | 1 | 6 | 131 | 128 | 3 | 70 | 273 | 507 | 780 | 2 | 4 | 104 | 90 | 70 | 11 | 3225 | 1074 | 1034 | 1075 | 66 | 2655 | 774 | 506 | 1981 | 235 | 59 | 25.11% | 231 | 40 | 82.68% | 3 | 1923 | 3273 | 58.75% | 1522 | 2854 | 53.33% | 699 | 1282 | 54.52% | 2187 | 1577 | 1750 | 561 | 1040 | 544 |
8 | 82 | 45 | 25 | 0 | 2 | 1 | 4 | 5 | 363 | 230 | 133 | 41 | 21 | 14 | 0 | 1 | 1 | 2 | 2 | 174 | 118 | 56 | 41 | 24 | 11 | 0 | 1 | 0 | 2 | 3 | 189 | 112 | 77 | 90 | 363 | 663 | 1026 | 0 | 7 | 151 | 122 | 84 | 9 | 3731 | 1251 | 1229 | 1228 | 56 | 2764 | 783 | 482 | 2050 | 171 | 36 | 21.05% | 198 | 36 | 81.82% | 6 | 1659 | 3152 | 52.63% | 1329 | 2793 | 47.58% | 702 | 1372 | 51.17% | 2292 | 1722 | 1698 | 514 | 983 | 515 |
8 | 82 | 45 | 25 | 0 | 2 | 1 | 4 | 5 | 363 | 230 | 133 | 41 | 21 | 14 | 0 | 1 | 1 | 2 | 2 | 174 | 118 | 56 | 41 | 24 | 11 | 0 | 1 | 0 | 2 | 3 | 189 | 112 | 77 | 90 | 363 | 663 | 1026 | 0 | 7 | 151 | 122 | 84 | 9 | 3731 | 1251 | 1229 | 1228 | 56 | 2764 | 783 | 482 | 2050 | 171 | 36 | 21.05% | 198 | 36 | 81.82% | 6 | 1659 | 3152 | 52.63% | 1329 | 2793 | 47.58% | 702 | 1372 | 51.17% | 2292 | 1722 | 1698 | 514 | 983 | 515 |
9 | 82 | 34 | 33 | 0 | 4 | 1 | 0 | 10 | 274 | 270 | 4 | 41 | 18 | 18 | 0 | 1 | 0 | 0 | 4 | 144 | 130 | 14 | 41 | 16 | 15 | 0 | 3 | 1 | 0 | 6 | 130 | 140 | -10 | 87 | 274 | 497 | 771 | 3 | 4 | 104 | 75 | 91 | 9 | 2972 | 964 | 966 | 1013 | 73 | 2866 | 814 | 574 | 1997 | 199 | 40 | 20.10% | 217 | 46 | 78.80% | 1 | 1478 | 2970 | 49.76% | 1412 | 2954 | 47.80% | 687 | 1329 | 51.69% | 2088 | 1492 | 1852 | 566 | 1037 | 529 |
Total Saison Régulière | 738 | 269 | 357 | 0 | 19 | 20 | 29 | 44 | 2343 | 2679 | -336 | 369 | 139 | 182 | 0 | 7 | 12 | 13 | 16 | 1179 | 1302 | -123 | 369 | 130 | 175 | 0 | 12 | 8 | 16 | 28 | 1164 | 1377 | -213 | 557 | 2343 | 4165 | 6508 | 9 | 33 | 956 | 741 | 598 | 75 | 26389 | 8739 | 8538 | 8876 | 500 | 28831 | 8271 | 5334 | 16333 | 2346 | 491 | 20.93% | 2140 | 419 | 80.42% | 30 | 12755 | 25446 | 50.13% | 11241 | 26129 | 43.02% | 5566 | 11930 | 46.66% | 17683 | 12656 | 18107 | 5113 | 8949 | 4414 |
Séries | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 21 | -11 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 10 | -5 | 0 | 10 | 19 | 29 | 0 | 0 | 2 | 6 | 2 | 0 | 105 | 22 | 47 | 35 | 1 | 118 | 35 | 40 | 58 | 8 | 3 | 37.50% | 9 | 1 | 88.89% | 0 | 55 | 101 | 54.46% | 48 | 109 | 44.04% | 32 | 78 | 41.03% | 83 | 58 | 104 | 30 | 53 | 24 |
3 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 18 | -8 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 10 | 19 | 29 | 0 | 0 | 5 | 3 | 2 | 0 | 132 | 45 | 58 | 29 | 0 | 160 | 52 | 46 | 107 | 23 | 3 | 13.04% | 22 | 7 | 68.18% | 0 | 69 | 175 | 39.43% | 78 | 179 | 43.58% | 27 | 79 | 34.18% | 108 | 70 | 126 | 39 | 65 | 31 |
7 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 17 | 22 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 10 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 12 | -5 | 2 | 17 | 28 | 45 | 1 | 0 | 7 | 4 | 6 | 0 | 175 | 60 | 54 | 58 | 3 | 196 | 62 | 26 | 137 | 13 | 2 | 15.38% | 11 | 4 | 63.64% | 0 | 79 | 161 | 49.07% | 88 | 194 | 45.36% | 36 | 82 | 43.90% | 120 | 84 | 118 | 35 | 64 | 33 |
8 | 20 | 13 | 7 | 0 | 0 | 0 | 0 | 0 | 73 | 62 | 11 | 10 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 38 | 27 | 11 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 35 | 35 | 0 | 26 | 73 | 133 | 206 | 0 | 0 | 30 | 23 | 18 | 2 | 754 | 216 | 228 | 257 | 53 | 742 | 182 | 133 | 470 | 65 | 16 | 24.62% | 57 | 17 | 70.18% | 1 | 441 | 791 | 55.75% | 380 | 757 | 50.20% | 169 | 333 | 50.75% | 533 | 378 | 478 | 151 | 264 | 134 |
Total Séries | 34 | 15 | 19 | 0 | 0 | 0 | 0 | 0 | 110 | 123 | -13 | 18 | 11 | 7 | 0 | 0 | 0 | 0 | 0 | 60 | 60 | 0 | 16 | 4 | 12 | 0 | 0 | 0 | 0 | 0 | 50 | 63 | -13 | 30 | 110 | 199 | 309 | 1 | 0 | 44 | 36 | 28 | 2 | 1166 | 343 | 387 | 379 | 57 | 1216 | 331 | 245 | 772 | 109 | 24 | 22.02% | 99 | 29 | 70.71% | 1 | 644 | 1228 | 52.44% | 594 | 1239 | 47.94% | 264 | 572 | 46.15% | 845 | 591 | 826 | 257 | 448 | 223 |