Barracuda | |
GP: 55 | W: 26 | L: 24 | OTL: 5 | P: 57 GF: 271 | GA: 282 | PP%: 23.33% | PK%: 71.01% DG: Jake Graas | Morale : 48 | Moyenne d’équipe : 61 Prochains matchs #622 vs Marlies |
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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 | Evgenii Dadonov | X | X | 100.00 | 65 | 55 | 91 | 71 | 65 | 72 | 69 | 79 | 50 | 65 | 70 | 61 | 51 | 80 | 77 | 0 | 67 | 65 | 0 | 35 | 1 | 500,000$ | |||
2 | Filip Zadina | X | 100.00 | 66 | 56 | 88 | 71 | 67 | 73 | 83 | 75 | 50 | 62 | 66 | 56 | 54 | 60 | 62 | 0 | 64 | 63 | 0 | 25 | 1 | 500,000$ | ||||
3 | Rafael Harvey Pinard | X | 100.00 | 69 | 54 | 92 | 67 | 64 | 71 | 65 | 69 | 50 | 64 | 50 | 74 | 50 | 62 | 65 | 0 | 64 | 62 | 0 | 26 | 3 | 500,000$ | ||||
4 | Ty Dellandrea | X | 100.00 | 74 | 62 | 78 | 68 | 68 | 71 | 64 | 73 | 58 | 63 | 50 | 71 | 50 | 61 | 64 | 0 | 64 | 62 | 0 | 24 | 3 | 500,000$ | ||||
5 | Ben Meyers | X | 100.00 | 72 | 56 | 86 | 65 | 69 | 64 | 55 | 68 | 60 | 58 | 50 | 61 | 50 | 63 | 63 | 0 | 64 | 58 | 0 | 26 | 1 | 500,000$ | ||||
6 | Walker Duehr | X | 100.00 | 74 | 56 | 91 | 65 | 75 | 60 | 61 | 67 | 50 | 59 | 50 | 59 | 50 | 64 | 63 | 0 | 64 | 58 | 0 | 27 | 3 | 500,000$ | ||||
7 | Connor Clifton | X | 100.00 | 81 | 65 | 77 | 62 | 68 | 70 | 90 | 65 | 50 | 61 | 50 | 76 | 55 | 72 | 73 | 0 | 69 | 66 | 0 | 29 | 1 | 500,000$ | ||||
8 | Mark Giordano | X | 100.00 | 71 | 63 | 74 | 62 | 72 | 70 | 68 | 65 | 50 | 58 | 51 | 77 | 56 | 93 | 88 | 0 | 64 | 66 | 0 | 41 | 1 | 500,000$ | ||||
9 | Daniil Miromanov | X | 100.00 | 57 | 59 | 83 | 67 | 75 | 75 | 60 | 66 | 50 | 58 | 58 | 66 | 56 | 67 | 67 | 0 | 64 | 62 | 0 | 27 | 1 | 500,000$ | ||||
10 | Ilya Solovyov | X | 100.00 | 56 | 59 | 79 | 57 | 75 | 52 | 54 | 52 | 50 | 52 | 50 | 54 | 55 | 62 | 65 | 0 | 64 | 54 | 0 | 24 | 2 | 500,000$ | ||||
11 | Jake Christiansen | X | 100.00 | 50 | 57 | 90 | 57 | 69 | 50 | 53 | 50 | 50 | 50 | 50 | 50 | 55 | 63 | 64 | 0 | 64 | 52 | 0 | 25 | 1 | 500,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 67 | 58 | 84 | 65 | 70 | 66 | 66 | 66 | 52 | 59 | 54 | 64 | 53 | 68 | 68 | 0 | 65 | 61 |
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 | Ilya Samsonov | 100.00 | 75 | 80 | 78 | 79 | 73 | 77 | 76 | 73 | 73 | 58 | 73 | 66 | 69 | 0 | 76 | 71 | 0 | 27 | 3 | 500,000$ | |
2 | Dan Vladar | 100.00 | 65 | 70 | 68 | 79 | 67 | 63 | 63 | 64 | 62 | 50 | 60 | 66 | 66 | 0 | 78 | 64 | 0 | 27 | 3 | 500,000$ | |
3 | Chris Driedger (R) | 100.00 | 50 | 61 | 59 | 78 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 70 | 70 | 0 | 78 | 55 | 0 | 30 | 3 | 500,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 63 | 70 | 68 | 79 | 63 | 63 | 63 | 62 | 62 | 53 | 61 | 67 | 68 | 0 | 77 | 63 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Hartley | 85 | 82 | 95 | 95 | 63 | 68 | 1 | CAN | 64 | 6 | 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 | Pays | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Plafond salarial | Plafond salarial restant | Exclus du plafond 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 | Plafond salarial année 2 | Plafond salarial année 3 | Plafond salarial année 4 | Plafond salarial année 5 | Plafond salarial année 6 | Plafond salarial année 7 | Plafond salarial année 8 | Plafond salarial année 9 | Plafond salarial année 10 | Non-échange année 2 | Non-échange année 3 | Non-échange année 4 | Non-échange année 5 | Non-échange année 6 | Non-échange année 7 | Non-échange année 8 | Non-échange année 9 | Non-échange année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Ben Meyers | Barracuda (CGY) | C | 26 | 1998-11-15 | USA | No | 194 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
Chris Driedger | Barracuda (CGY) | G | 30 | 1994-05-18 | CAN | Yes | 208 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
Connor Clifton | Barracuda (CGY) | D | 29 | 1995-04-28 | USA | No | 192 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | 2024-08-19 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Dan Vladar | Barracuda (CGY) | G | 27 | 1997-08-20 | CZE | No | 209 Lbs | 6 ft5 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
Daniil Miromanov | Barracuda (CGY) | D | 27 | 1997-07-11 | RUS | No | 207 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
Evgenii Dadonov | Barracuda (CGY) | LW/RW | 35 | 1989-03-12 | RUS | No | 185 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
Filip Zadina | Barracuda (CGY) | RW | 25 | 1999-11-27 | CZE | No | 190 Lbs | 6 ft0 | No | No | Free Agent | No | No | 1 | 2024-09-11 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Ilya Samsonov | Barracuda (CGY) | G | 27 | 1997-02-22 | RUS | No | 217 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | 2024-08-19 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | |
Ilya Solovyov | Barracuda (CGY) | D | 24 | 2000-07-20 | BLR | No | 208 Lbs | 6 ft3 | No | No | Free Agent | No | No | 2 | 2024-09-12 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | - | - | - | - | - | - | - | - | 500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||
Jake Christiansen | Barracuda (CGY) | D | 25 | 1999-09-12 | CAN | No | 193 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | ||
Mark Giordano | Barracuda (CGY) | D | 41 | 1983-10-03 | CAN | No | 202 Lbs | 6 ft0 | No | No | Free Agent | No | No | 1 | 2024-09-09 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien NHL | |
Rafael Harvey Pinard | Barracuda (CGY) | LW | 26 | 1999-01-06 | CAN | No | 184 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien / Lien NHL | ||
Ty Dellandrea | Barracuda (CGY) | C | 24 | 2000-07-21 | CAN | No | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL | ||
Walker Duehr | Barracuda (CGY) | RW | 27 | 1997-11-23 | USA | No | 210 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 500,000$ | 50,000$ | 17,143$ | No | 500,000$ | 500,000$ | - | - | - | - | - | - | - | 500,000$ | 500,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien NHL |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
14 | 28.07 | 199 Lbs | 6 ft1 | 1.93 | 500,000$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 40 | 1 | 2 | 2 | |||
2 | 30 | 1 | 2 | 2 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, , | , |
Tirs de pénalité |
---|
, , , , |
Gardien |
---|
#1 : , #2 : |
Lignes d’attaque personnalisées en prolongation |
---|
, , , , , , , , , , |
Lignes de défense personnalisées en prolongation |
---|
, , , , |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | Aces | 4 | 1 | 2 | 0 | 0 | 1 | 0 | 0 | 14 | 20 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 8 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 12 | -5 | 3 | 0.375 | 14 | 26 | 40 | 0 | 0 | 103 | 81 | 80 | 7 | 146 | 868 | 886 | 860 | 29 | 129 | 42 | 17 | 49 | 15 | 2 | 13.33% | 5 | 0 | 100.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
2 | Admirals | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 14 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 6 | -4 | 0 | 0.000 | 7 | 13 | 20 | 0 | 0 | 103 | 81 | 80 | 7 | 130 | 868 | 886 | 860 | 29 | 93 | 23 | 10 | 57 | 5 | 0 | 0.00% | 5 | 2 | 60.00% | 1 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
3 | Americiens | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 7 | 6 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 7 | 14 | 21 | 0 | 0 | 103 | 81 | 80 | 7 | 76 | 868 | 886 | 860 | 29 | 51 | 17 | 6 | 18 | 2 | 1 | 50.00% | 3 | 0 | 100.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
4 | Barons | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 5 | 0 | 4 | 0.667 | 8 | 16 | 24 | 0 | 0 | 103 | 81 | 80 | 7 | 128 | 868 | 886 | 860 | 29 | 71 | 22 | 18 | 63 | 4 | 0 | 0.00% | 9 | 1 | 88.89% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
5 | Broncos | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 103 | 81 | 80 | 7 | 41 | 868 | 886 | 860 | 29 | 28 | 5 | 0 | 18 | 5 | 2 | 40.00% | 0 | 0 | 0% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
6 | Bruins | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 16 | 17 | -1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 11 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 2 | 0.333 | 16 | 30 | 46 | 1 | 0 | 103 | 81 | 80 | 7 | 145 | 868 | 886 | 860 | 29 | 141 | 39 | 10 | 81 | 4 | 3 | 75.00% | 8 | 3 | 62.50% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
7 | Butter Knives | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 103 | 81 | 80 | 7 | 49 | 868 | 886 | 860 | 29 | 63 | 19 | 6 | 31 | 3 | 1 | 33.33% | 3 | 1 | 66.67% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
8 | Canucks | 4 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 14 | 17 | -3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 5 | 6 | -1 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 11 | -2 | 3 | 0.375 | 14 | 26 | 40 | 0 | 0 | 103 | 81 | 80 | 7 | 147 | 868 | 886 | 860 | 29 | 138 | 37 | 40 | 82 | 6 | 0 | 0.00% | 15 | 1 | 93.33% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
9 | Fighting Pandas | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 13 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 4 | 2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0.333 | 11 | 19 | 30 | 0 | 0 | 103 | 81 | 80 | 7 | 105 | 868 | 886 | 860 | 29 | 121 | 39 | 21 | 68 | 3 | 0 | 0.00% | 6 | 2 | 66.67% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
10 | Firebirds | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 14 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 6 | 1 | 2 | 0.500 | 11 | 22 | 33 | 0 | 0 | 103 | 81 | 80 | 7 | 109 | 868 | 886 | 860 | 29 | 104 | 30 | 10 | 54 | 5 | 1 | 20.00% | 4 | 3 | 25.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
11 | Griffins | 4 | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 30 | 26 | 4 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 15 | 14 | 1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 12 | 3 | 6 | 0.750 | 30 | 58 | 88 | 0 | 0 | 103 | 81 | 80 | 7 | 238 | 868 | 886 | 860 | 29 | 204 | 60 | 16 | 100 | 12 | 5 | 41.67% | 6 | 4 | 33.33% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
12 | Ice Bats | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 12 | 7 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 12 | 23 | 35 | 0 | 0 | 103 | 81 | 80 | 7 | 106 | 868 | 886 | 860 | 29 | 113 | 42 | 10 | 48 | 5 | 3 | 60.00% | 4 | 1 | 75.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
13 | Lions | 5 | 1 | 3 | 0 | 1 | 0 | 0 | 0 | 19 | 24 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 17 | -5 | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 7 | 7 | 0 | 4 | 0.400 | 19 | 34 | 53 | 0 | 0 | 103 | 81 | 80 | 7 | 246 | 868 | 886 | 860 | 29 | 214 | 60 | 34 | 113 | 4 | 0 | 0.00% | 16 | 6 | 62.50% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
14 | Lynx | 4 | 2 | 0 | 0 | 1 | 1 | 0 | 0 | 24 | 22 | 2 | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 18 | 17 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 5 | 1 | 7 | 0.875 | 24 | 46 | 70 | 0 | 0 | 103 | 81 | 80 | 7 | 161 | 868 | 886 | 860 | 29 | 145 | 41 | 20 | 74 | 10 | 4 | 40.00% | 10 | 3 | 70.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
15 | Nordiks | 3 | 1 | 0 | 0 | 1 | 1 | 0 | 0 | 20 | 18 | 2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 5 | 6 | -1 | 2 | 1 | 0 | 0 | 1 | 0 | 0 | 0 | 15 | 12 | 3 | 5 | 0.833 | 20 | 38 | 58 | 0 | 0 | 103 | 81 | 80 | 7 | 164 | 868 | 886 | 860 | 29 | 157 | 51 | 30 | 84 | 6 | 1 | 16.67% | 15 | 7 | 53.33% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
16 | Punishers | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 17 | 22 | -5 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 15 | -8 | 4 | 0.500 | 17 | 31 | 48 | 0 | 0 | 103 | 81 | 80 | 7 | 181 | 868 | 886 | 860 | 29 | 144 | 47 | 16 | 72 | 9 | 1 | 11.11% | 8 | 2 | 75.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
17 | Roadrunners | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 4 | 3 | 2 | 1.000 | 7 | 12 | 19 | 0 | 0 | 103 | 81 | 80 | 7 | 54 | 868 | 886 | 860 | 29 | 37 | 20 | 4 | 25 | 2 | 1 | 50.00% | 2 | 0 | 100.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
18 | Tomahawks | 3 | 0 | 2 | 0 | 0 | 1 | 0 | 0 | 14 | 17 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 13 | 15 | -2 | 1 | 0.167 | 14 | 26 | 40 | 0 | 0 | 103 | 81 | 80 | 7 | 180 | 868 | 886 | 860 | 29 | 155 | 48 | 16 | 64 | 10 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
19 | Wombats | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 7 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 3 | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 103 | 81 | 80 | 7 | 79 | 868 | 886 | 860 | 29 | 85 | 23 | 16 | 50 | 8 | 2 | 25.00% | 8 | 1 | 87.50% | 1 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
20 | Wranglers | 3 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 21 | 16 | 5 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 9 | 8 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 8 | 4 | 6 | 1.000 | 21 | 39 | 60 | 0 | 0 | 103 | 81 | 80 | 7 | 152 | 868 | 886 | 860 | 29 | 164 | 44 | 6 | 72 | 2 | 1 | 50.00% | 3 | 1 | 66.67% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
Total | 55 | 19 | 24 | 0 | 6 | 4 | 1 | 1 | 271 | 282 | -11 | 28 | 10 | 11 | 0 | 3 | 2 | 1 | 1 | 146 | 145 | 1 | 27 | 9 | 13 | 0 | 3 | 2 | 0 | 0 | 125 | 137 | -12 | 57 | 0.518 | 271 | 509 | 780 | 1 | 0 | 103 | 81 | 80 | 7 | 2637 | 868 | 886 | 860 | 29 | 2357 | 709 | 306 | 1223 | 120 | 28 | 23.33% | 138 | 40 | 71.01% | 2 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 | |
_Since Last GM Reset | 55 | 19 | 24 | 0 | 6 | 4 | 1 | 1 | 271 | 282 | -11 | 28 | 10 | 11 | 0 | 3 | 2 | 1 | 1 | 146 | 145 | 1 | 27 | 9 | 13 | 0 | 3 | 2 | 0 | 0 | 125 | 137 | -12 | 57 | 0.518 | 271 | 509 | 780 | 1 | 0 | 103 | 81 | 80 | 7 | 2637 | 868 | 886 | 860 | 29 | 2357 | 709 | 306 | 1223 | 120 | 28 | 23.33% | 138 | 40 | 71.01% | 2 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 | |
_Vs Conference | 35 | 12 | 14 | 0 | 4 | 3 | 1 | 1 | 169 | 174 | -5 | 16 | 6 | 6 | 0 | 1 | 1 | 1 | 1 | 79 | 77 | 2 | 19 | 6 | 8 | 0 | 3 | 2 | 0 | 0 | 90 | 97 | -7 | 38 | 0.543 | 169 | 317 | 486 | 0 | 0 | 103 | 81 | 80 | 7 | 1688 | 868 | 886 | 860 | 29 | 1489 | 453 | 203 | 747 | 73 | 13 | 17.81% | 89 | 25 | 71.91% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 | |
_Vs Division | 15 | 7 | 7 | 0 | 1 | 1 | 1 | 1 | 66 | 75 | -9 | 6 | 3 | 1 | 0 | 1 | 0 | 1 | 1 | 31 | 29 | 2 | 9 | 4 | 6 | 0 | 0 | 1 | 0 | 0 | 35 | 46 | -11 | 20 | 0.667 | 66 | 122 | 188 | 0 | 0 | 103 | 81 | 80 | 7 | 626 | 868 | 886 | 860 | 29 | 575 | 170 | 79 | 275 | 32 | 4 | 12.50% | 31 | 4 | 87.10% | 0 | 1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% | 1184 | 843 | 1477 | 386 | 662 | 309 |
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 |
55 | 57 | W1 | 271 | 509 | 780 | 2637 | 2357 | 709 | 306 | 1223 | 1 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
55 | 19 | 24 | 6 | 4 | 1 | 1 | 271 | 282 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
28 | 10 | 11 | 3 | 2 | 1 | 1 | 146 | 145 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
27 | 9 | 13 | 3 | 2 | 0 | 0 | 125 | 137 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 4 | 0 | 2 | 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 |
---|---|---|---|---|---|---|
120 | 28 | 23.33% | 138 | 40 | 71.01% | 2 |
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 |
---|---|---|---|---|---|---|---|
868 | 886 | 860 | 29 | 103 | 81 | 80 | 7 |
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 |
1037 | 2254 | 46.01% | 935 | 2124 | 44.02% | 473 | 1050 | 45.05% |
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 |
1184 | 843 | 1477 | 386 | 662 | 309 |
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 |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0 | 0 |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
13 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Plafond Salariale total des joueurs | Salaire des entraineurs |
799,423$ | 700,000$ | 700,000$ | 500,000$0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
700,000$ | 470,868$ | 14 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 60 | 6,857$ | 411,420$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
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 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|