Lake Erie Monsters | |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Remi Souliere | Morale : 1 | Moyenne d’équipe : 55 |
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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 | Will Bitten (R) | X | X | 100.00 | 67 | 60 | 82 | 66 | 60 | 64 | 65 | 61 | 76 | 59 | 59 | 60 | 56 | 44 | 44 | 61 | 72 | 58 | 0 | 22 | 1 | 805,000$ | |||
2 | Lukas Elvenes (R) (A) | X | X | 100.00 | 70 | 65 | 83 | 61 | 65 | 71 | 74 | 61 | 50 | 62 | 56 | 61 | 53 | 44 | 44 | 61 | 71 | 58 | X | 0 | 21 | 1 | 776,667$ | ||
3 | Turner Elson | X | 100.00 | 70 | 67 | 78 | 65 | 67 | 67 | 70 | 58 | 50 | 60 | 51 | 61 | 48 | 44 | 44 | 59 | 30 | 57 | 0 | 28 | 1 | 750,000$ | ||||
4 | Oskar Steen | X | 100.00 | 71 | 65 | 85 | 68 | 65 | 64 | 66 | 58 | 73 | 53 | 58 | 61 | 55 | 44 | 44 | 60 | 51 | 57 | 0 | 23 | 1 | 809,167$ | ||||
5 | Ryan Suzuki (R) | X | 100.00 | 75 | 65 | 97 | 77 | 65 | 59 | 60 | 55 | 69 | 49 | 57 | 62 | 54 | 44 | 44 | 60 | 50 | 57 | 0 | 20 | 3 | 863,333$ | ||||
6 | Eduards Tralmaks (R) | X | X | 100.00 | 82 | 78 | 91 | 59 | 78 | 50 | 48 | 59 | 74 | 53 | 61 | 67 | 58 | 44 | 44 | 62 | 46 | 57 | 0 | 24 | 1 | 700,000$ | |||
7 | Marko Dano | X | X | 100.00 | 76 | 75 | 78 | 76 | 75 | 54 | 56 | 50 | 50 | 47 | 46 | 65 | 44 | 58 | 58 | 55 | 82 | 56 | 0 | 26 | 1 | 700,000$ | |||
8 | Jan Drozg | X | 100.00 | 73 | 66 | 89 | 63 | 66 | 64 | 67 | 52 | 50 | 43 | 56 | 61 | 53 | 44 | 44 | 58 | 70 | 55 | 0 | 22 | 1 | 809,166$ | ||||
9 | Bob Carpenter | X | X | 100.00 | 78 | 72 | 92 | 61 | 72 | 52 | 52 | 55 | 69 | 47 | 58 | 64 | 55 | 44 | 44 | 59 | 74 | 55 | 0 | 24 | 1 | 700,000$ | |||
10 | Giorgio Estephan | X | 100.00 | 79 | 71 | 96 | 52 | 71 | 58 | 60 | 53 | 66 | 53 | 48 | 64 | 46 | 44 | 44 | 56 | 70 | 54 | 0 | 24 | 1 | 700,000$ | ||||
11 | Micheal Haley (C) | X | X | X | 100.00 | 77 | 94 | 42 | 66 | 72 | 41 | 42 | 50 | 53 | 48 | 54 | 56 | 25 | 62 | 63 | 59 | 63 | 53 | 0 | 35 | 1 | 700,000$ | ||
12 | Brandon Baddock | X | 100.00 | 69 | 82 | 39 | 66 | 82 | 59 | 62 | 49 | 50 | 46 | 46 | 58 | 44 | 44 | 44 | 52 | 51 | 53 | 0 | 26 | 1 | 750,000$ | ||||
13 | Thomas Harley (R) | X | 100.00 | 74 | 73 | 77 | 66 | 73 | 71 | 75 | 59 | 25 | 51 | 53 | 63 | 50 | 44 | 45 | 61 | 90 | 60 | 0 | 19 | 3 | 863,333$ | ||||
14 | Dysin Mayo | X | 100.00 | 76 | 73 | 82 | 70 | 73 | 70 | 72 | 45 | 25 | 42 | 50 | 61 | 38 | 51 | 51 | 52 | 57 | 59 | 0 | 24 | 1 | 750,000$ | ||||
15 | Zackary Hayes (R) | X | 100.00 | 80 | 80 | 79 | 64 | 80 | 67 | 73 | 47 | 25 | 37 | 41 | 63 | 39 | 44 | 44 | 53 | 80 | 58 | 0 | 22 | 2 | 805,000$ | ||||
16 | Joe Hicketts | X | 100.00 | 69 | 63 | 83 | 67 | 63 | 63 | 66 | 54 | 25 | 53 | 40 | 60 | 38 | 49 | 49 | 54 | 76 | 57 | 0 | 25 | 2 | 750,000$ | ||||
17 | Alexander Yelesin | X | 100.00 | 74 | 71 | 81 | 68 | 71 | 59 | 62 | 47 | 25 | 38 | 41 | 60 | 39 | 44 | 44 | 52 | 75 | 56 | 0 | 25 | 1 | 700,000$ | ||||
18 | Mikko Kokkonen (R) | X | 100.00 | 78 | 69 | 99 | 59 | 69 | 54 | 54 | 56 | 25 | 54 | 43 | 64 | 41 | 44 | 44 | 56 | 60 | 56 | 0 | 20 | 1 | 700,000$ | ||||
19 | Tyler Tucker (R) | X | 100.00 | 73 | 76 | 66 | 59 | 76 | 61 | 65 | 48 | 25 | 40 | 40 | 60 | 38 | 44 | 44 | 51 | 25 | 55 | 0 | 21 | 2 | 808,333$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Zachary Gallant (R) | X | 100.00 | 67 | 70 | 59 | 62 | 70 | 61 | 65 | 49 | 61 | 47 | 45 | 57 | 43 | 44 | 44 | 52 | 35 | 52 | 0 | 22 | 1 | 786,667$ | ||||
2 | Albin Grewe (R) | X | X | 100.00 | 71 | 65 | 84 | 63 | 65 | 51 | 52 | 49 | 50 | 48 | 44 | 59 | 42 | 44 | 44 | 52 | 35 | 51 | 0 | 20 | 1 | 700,000$ | |||
3 | Patrick Harper (R) | X | 100.00 | 66 | 53 | 95 | 63 | 53 | 50 | 51 | 48 | 60 | 46 | 44 | 56 | 42 | 44 | 44 | 51 | 20 | 50 | 0 | 22 | 1 | 925,000$ | ||||
4 | Mitchell Vande Sompel (R) | X | 100.00 | 75 | 70 | 87 | 62 | 70 | 43 | 42 | 49 | 25 | 43 | 39 | 61 | 37 | 44 | 44 | 51 | 20 | 53 | 0 | 24 | 1 | 725,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 73 | 71 | 80 | 64 | 70 | 59 | 61 | 53 | 48 | 49 | 49 | 61 | 45 | 46 | 46 | 56 | 57 | 56 |
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 | Pheonix Copley | 100.00 | 54 | 57 | 71 | 82 | 51 | 57 | 56 | 61 | 58 | 58 | 30 | 46 | 46 | 56 | 77 | 58 | 0 | 29 | 1 | 1,100,000$ | |
2 | Ryan Bednard (R) | 100.00 | 56 | 51 | 64 | 86 | 58 | 56 | 54 | 60 | 56 | 55 | 30 | 44 | 44 | 56 | 73 | 57 | 0 | 24 | 1 | 817,500$ | |
Rayé | |||||||||||||||||||||||
1 | Daniil Tarasov (R) | 100.00 | 50 | 55 | 69 | 80 | 49 | 51 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 51 | 62 | 53 | 0 | 22 | 1 | 925,000$ | |
2 | Angus Redmond (R) | 100.00 | 47 | 47 | 59 | 76 | 46 | 46 | 51 | 53 | 48 | 48 | 30 | 44 | 44 | 48 | 50 | 51 | 0 | 25 | 1 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 52 | 53 | 66 | 81 | 51 | 53 | 53 | 57 | 53 | 53 | 30 | 45 | 45 | 53 | 66 | 55 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Brunette | 65 | 70 | 75 | 66 | 71 | 66 | 78 | CAN | 47 | 1 | 60,000$ |
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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Albin Grewe | Lake Erie Monsters (CLF) | LW/RW | 20 | 2001-03-22 | Yes | 176 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien NHL | |||||||||
Alexander Yelesin | Lake Erie Monsters (CLF) | D | 25 | 1996-02-06 | No | 195 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Angus Redmond | Lake Erie Monsters (CLF) | G | 25 | 1995-10-02 | Yes | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien | |||||||||
Bob Carpenter | Lake Erie Monsters (CLF) | C/LW | 24 | 1996-08-15 | No | 200 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
Brandon Baddock | Lake Erie Monsters (CLF) | LW | 26 | 1995-03-28 | No | 221 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Daniil Tarasov | Lake Erie Monsters (CLF) | G | 22 | 1999-03-27 | Yes | 185 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien NHL | |||||||||
Dysin Mayo | Lake Erie Monsters (CLF) | D | 24 | 1996-08-17 | No | 195 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Eduards Tralmaks | Lake Erie Monsters (CLF) | C/LW | 24 | 1997-02-17 | Yes | 209 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
Giorgio Estephan | Lake Erie Monsters (CLF) | C | 24 | 1997-02-03 | No | 196 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jan Drozg | Lake Erie Monsters (CLF) | LW | 22 | 1999-04-01 | No | 174 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 809,166$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Joe Hicketts | Lake Erie Monsters (CLF) | D | 25 | 1996-05-04 | No | 180 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien / Lien NHL | ||||||||
Lukas Elvenes | Lake Erie Monsters (CLF) | LW/RW | 21 | 1999-08-18 | Yes | 172 Lbs | 6 ft1 | No | Yes | No | 1 | Pro & Farm | 776,667$ | 0$ | 0$ | No | Lien | |||||||||
Marko Dano | Lake Erie Monsters (CLF) | LW/RW | 26 | 1994-11-30 | No | 212 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Micheal Haley | Lake Erie Monsters (CLF) | C/LW/RW | 35 | 1986-03-30 | No | 202 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Mikko Kokkonen | Lake Erie Monsters (CLF) | D | 20 | 2001-01-18 | Yes | 194 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Lien NHL | |||||||||
Mitchell Vande Sompel | Lake Erie Monsters (CLF) | D | 24 | 1997-02-11 | Yes | 198 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 725,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Oskar Steen | Lake Erie Monsters (CLF) | C | 23 | 1998-03-09 | No | 188 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 809,167$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Patrick Harper | Lake Erie Monsters (CLF) | C | 22 | 1998-07-29 | Yes | 150 Lbs | 5 ft7 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Lien NHL | |||||||||
Pheonix Copley | Lake Erie Monsters (CLF) | G | 29 | 1992-01-18 | No | 198 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Ryan Bednard | Lake Erie Monsters (CLF) | G | 24 | 1997-03-31 | Yes | 205 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 817,500$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Ryan Suzuki | Lake Erie Monsters (CLF) | C | 20 | 2001-05-28 | Yes | 176 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | Lien NHL | |||||||
Thomas Harley | Lake Erie Monsters (CLF) | D | 19 | 2001-08-18 | Yes | 190 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | Lien NHL | |||||||
Turner Elson | Lake Erie Monsters (CLF) | LW | 28 | 1992-09-12 | No | 184 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Tyler Tucker | Lake Erie Monsters (CLF) | D | 21 | 2000-03-01 | Yes | 205 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 808,333$ | 0$ | 0$ | No | 808,333$ | Lien NHL | ||||||||
Will Bitten | Lake Erie Monsters (CLF) | C/RW | 22 | 1998-07-10 | Yes | 168 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 805,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Zachary Gallant | Lake Erie Monsters (CLF) | C | 22 | 1999-03-06 | Yes | 188 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 786,667$ | 0$ | 0$ | No | Lien NHL | |||||||||
Zackary Hayes | Lake Erie Monsters (CLF) | D | 22 | 1999-04-24 | Yes | 218 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 805,000$ | 0$ | 0$ | No | 805,000$ | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
27 | 23.67 | 192 Lbs | 6 ft1 | 1.26 | 784,043$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Eduards Tralmaks | Will Bitten | Lukas Elvenes | 40 | 0 | 2 | 3 |
2 | Bob Carpenter | Marko Dano | 30 | 0 | 2 | 3 | |
3 | Jan Drozg | Giorgio Estephan | Micheal Haley | 20 | 1 | 2 | 2 |
4 | Brandon Baddock | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Dysin Mayo | 44 | 1 | 2 | 1 | ||
2 | Joe Hicketts | 33 | 1 | 3 | 1 | ||
3 | Alexander Yelesin | Mikko Kokkonen | 23 | 1 | 3 | 1 | |
4 | Dysin Mayo | 0 | 1 | 2 | 2 |
Attaque en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Eduards Tralmaks | Will Bitten | Lukas Elvenes | 60 | 0 | 0 | 5 |
2 | Bob Carpenter | Marko Dano | 40 | 0 | 0 | 5 |
Défense en svantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | 60 | 0 | 0 | 5 | |||
2 | Joe Hicketts | Dysin Mayo | 40 | 0 | 0 | 5 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Eduards Tralmaks | Marko Dano | 60 | 0 | 4 | 1 |
2 | Giorgio Estephan | Jan Drozg | 40 | 0 | 4 | 1 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 2 | 3 | 0 | ||
2 | Joe Hicketts | Dysin Mayo | 40 | 2 | 3 | 0 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Eduards Tralmaks | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | ||
2 | Eduards Tralmaks | 40 | 1 | 2 | 2 | Joe Hicketts | Dysin Mayo | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Will Bitten | Lukas Elvenes | 60 | 1 | 2 | 2 |
2 | Eduards Tralmaks | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Joe Hicketts | Dysin Mayo | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Eduards Tralmaks | Will Bitten | Lukas Elvenes |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Eduards Tralmaks | Lukas Elvenes |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jan Drozg, , Micheal Haley | Jan Drozg, | Micheal Haley |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Alexander Yelesin, Mikko Kokkonen, Joe Hicketts | Alexander Yelesin | Mikko Kokkonen, Joe Hicketts |
Tirs de pénalité |
---|
, Eduards Tralmaks, Lukas Elvenes, Will Bitten, Jan Drozg |
Gardien |
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#1 : , #2 : Ryan Bednard |
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 | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 30 | 10 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 2,116,917$ | 2,116,917$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 0 | 0$ | 0$ |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Lukas Elvenes | 394 | 294 | 404 | 698 | 71 | 583 | 557 | 521 | 1689 | 17.41% | 275 | 7677 | 19.49 | 50 | 119 | 169 | 210 | 0 | 0 | 0 | 1 | 33 | 21 | 42.97% | 14 | 1.82 | 4 | 20 |
2 | Andrew Agozzino | 324 | 248 | 392 | 640 | 52 | 108 | 540 | 516 | 1260 | 19.68% | 176 | 6638 | 20.49 | 48 | 100 | 148 | 116 | 8 | 0 | 8 | 8 | 20 | 8 | 52.30% | 8 | 1.93 | 8 | 20 |
3 | Matt Puempel | 320 | 256 | 240 | 496 | 108 | 544 | 592 | 384 | 1424 | 17.98% | 216 | 5793 | 18.11 | 40 | 44 | 84 | 116 | 0 | 0 | 0 | 0 | 20 | 20 | 46.76% | 12 | 1.71 | 16 | 28 |
4 | Jason Robertson | 164 | 140 | 184 | 324 | -40 | 244 | 276 | 216 | 744 | 18.82% | 140 | 3311 | 20.19 | 52 | 36 | 88 | 100 | 0 | 0 | 0 | 0 | 12 | 4 | 45.88% | 4 | 1.96 | 4 | 16 |
5 | JC Lipon | 320 | 164 | 160 | 324 | 40 | 504 | 612 | 348 | 1092 | 15.02% | 96 | 5046 | 15.77 | 20 | 28 | 48 | 80 | 0 | 0 | 0 | 0 | 12 | 0 | 46.77% | 12 | 1.28 | 4 | 4 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan Bednard | 198 | 118 | 71 | 9 | 0.875 | 4.88 | 11965 | 26 | 0 | 974 | 7774 | 4745 | 5 | 4 | 0.689 | 45 |
2 | Pheonix Copley | 101 | 56 | 29 | 16 | 0.890 | 4.02 | 6127 | 2 | 0 | 410 | 3738 | 2131 | 4 | 2 | 0.489 | 45 |
3 | Daniil Tarasov | 3 | 0 | 3 | 0 | 0.826 | 6.33 | 180 | 0 | 0 | 19 | 109 | 65 | 1 | 0 | 0.000 | 0 |
Total | 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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 82 | 42 | 27 | 0 | 5 | 2 | 0 | 6 | 437 | 407 | 30 | 41 | 19 | 16 | 0 | 2 | 2 | 0 | 2 | 212 | 207 | 5 | 41 | 23 | 11 | 0 | 3 | 0 | 0 | 4 | 225 | 200 | 25 | 84 | 437 | 706 | 1143 | 2 | 0 | 103 | 191 | 138 | 6 | 3336 | 1074 | 1211 | 1025 | 46 | 3090 | 1022 | 1935 | 1749 | 229 | 79 | 34.50% | 149 | 57 | 61.74% | 4 | 1059 | 1993 | 53.14% | 914 | 1726 | 52.95% | 862 | 1646 | 52.37% | 1732 | 968 | 1695 | 752 | 1539 | 773 |
2017 | 82 | 37 | 35 | 0 | 2 | 4 | 2 | 2 | 371 | 373 | -2 | 41 | 18 | 19 | 0 | 2 | 0 | 0 | 2 | 176 | 188 | -12 | 41 | 19 | 16 | 0 | 0 | 4 | 2 | 0 | 195 | 185 | 10 | 74 | 371 | 623 | 994 | 2 | 0 | 92 | 133 | 142 | 7 | 3149 | 1031 | 1107 | 998 | 24 | 3025 | 1022 | 1639 | 2002 | 225 | 73 | 32.44% | 143 | 59 | 58.74% | 8 | 960 | 1873 | 51.25% | 789 | 1617 | 48.79% | 752 | 1511 | 49.77% | 1746 | 972 | 1659 | 741 | 1547 | 774 |
2018 | 82 | 45 | 27 | 0 | 5 | 2 | 2 | 1 | 396 | 320 | 76 | 41 | 24 | 14 | 0 | 2 | 0 | 1 | 0 | 195 | 143 | 52 | 41 | 21 | 13 | 0 | 3 | 2 | 1 | 1 | 201 | 177 | 24 | 90 | 396 | 654 | 1050 | 5 | 1 | 94 | 165 | 130 | 12 | 3257 | 1057 | 1194 | 987 | 28 | 2720 | 914 | 1617 | 1889 | 247 | 78 | 31.58% | 202 | 69 | 65.84% | 5 | 1033 | 1830 | 56.45% | 828 | 1547 | 53.52% | 817 | 1512 | 54.03% | 1820 | 1047 | 1595 | 749 | 1530 | 767 |
2019 | 82 | 47 | 26 | 0 | 5 | 1 | 2 | 1 | 449 | 387 | 62 | 41 | 27 | 12 | 0 | 0 | 0 | 2 | 0 | 225 | 189 | 36 | 41 | 20 | 14 | 0 | 5 | 1 | 0 | 1 | 224 | 198 | 26 | 94 | 449 | 742 | 1191 | 1 | 2 | 95 | 204 | 143 | 9 | 3202 | 998 | 1197 | 994 | 24 | 3076 | 980 | 2065 | 1853 | 227 | 92 | 40.53% | 285 | 99 | 65.26% | 3 | 887 | 1740 | 50.98% | 890 | 1775 | 50.14% | 807 | 1610 | 50.12% | 1731 | 975 | 1700 | 755 | 1515 | 742 |
2020 | 82 | 32 | 34 | 0 | 5 | 4 | 4 | 3 | 436 | 447 | -11 | 41 | 13 | 18 | 0 | 2 | 2 | 3 | 3 | 211 | 230 | -19 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 225 | 217 | 8 | 89 | 436 | 705 | 1141 | 2 | 0 | 98 | 168 | 161 | 15 | 3161 | 927 | 1127 | 1073 | 55 | 3117 | 1033 | 1896 | 1850 | 219 | 72 | 32.88% | 266 | 104 | 60.90% | 6 | 880 | 1743 | 50.49% | 886 | 1655 | 53.53% | 855 | 1646 | 51.94% | 1723 | 955 | 1718 | 763 | 1528 | 759 |
2020 | 82 | 32 | 34 | 0 | 5 | 4 | 4 | 3 | 436 | 447 | -11 | 41 | 13 | 18 | 0 | 2 | 2 | 3 | 3 | 211 | 230 | -19 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 225 | 217 | 8 | 89 | 436 | 705 | 1141 | 2 | 0 | 98 | 168 | 161 | 15 | 3161 | 927 | 1127 | 1073 | 55 | 3117 | 1033 | 1896 | 1850 | 219 | 72 | 32.88% | 266 | 104 | 60.90% | 6 | 880 | 1743 | 50.49% | 886 | 1655 | 53.53% | 855 | 1646 | 51.94% | 1723 | 955 | 1718 | 763 | 1528 | 759 |
2021 | 78 | 31 | 31 | 0 | 2 | 8 | 1 | 5 | 326 | 342 | -16 | 39 | 12 | 17 | 0 | 1 | 5 | 1 | 3 | 153 | 174 | -21 | 39 | 19 | 14 | 0 | 1 | 3 | 0 | 2 | 173 | 168 | 5 | 81 | 326 | 537 | 863 | 2 | 0 | 60 | 125 | 138 | 5 | 2925 | 894 | 1055 | 966 | 27 | 2963 | 982 | 1507 | 1628 | 201 | 62 | 30.85% | 226 | 59 | 73.89% | 2 | 821 | 1650 | 49.76% | 881 | 1727 | 51.01% | 747 | 1432 | 52.16% | 1600 | 880 | 1658 | 751 | 1470 | 717 |
Total Saison régulière | 570 | 266 | 214 | 0 | 29 | 25 | 15 | 21 | 2851 | 2723 | 128 | 285 | 126 | 114 | 0 | 11 | 11 | 10 | 13 | 1383 | 1361 | 22 | 285 | 140 | 100 | 0 | 18 | 14 | 5 | 8 | 1468 | 1362 | 106 | 601 | 2851 | 4672 | 7523 | 16 | 3 | 640 | 1154 | 1013 | 69 | 22191 | 6908 | 8018 | 7116 | 259 | 21108 | 6986 | 12555 | 12821 | 1567 | 528 | 33.69% | 1537 | 551 | 64.15% | 34 | 6520 | 12572 | 51.86% | 6074 | 11702 | 51.91% | 5695 | 11003 | 51.76% | 12079 | 6756 | 11745 | 5275 | 10660 | 5294 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 15 | 22 | 37 | 0 | 0 | 4 | 6 | 4 | 1 | 162 | 47 | 63 | 48 | 4 | 199 | 67 | 102 | 95 | 23 | 8 | 34.78% | 11 | 3 | 72.73% | 0 | 62 | 113 | 54.87% | 54 | 122 | 44.26% | 33 | 83 | 39.76% | 98 | 52 | 116 | 50 | 93 | 45 |
Total Séries éliminatoires | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 15 | 22 | 37 | 0 | 0 | 4 | 6 | 4 | 1 | 162 | 47 | 63 | 48 | 4 | 199 | 67 | 102 | 95 | 23 | 8 | 34.78% | 11 | 3 | 72.73% | 0 | 62 | 113 | 54.87% | 54 | 122 | 44.26% | 33 | 83 | 39.76% | 98 | 52 | 116 | 50 | 93 | 45 |
# | Nom du joueur | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Puempel | 5 | 5 | 6 | 11 | -1 | 10 | 4 | 9 | 19 | 26.32% | 7 | 99 | 19.94 | 3 | 3 | 6 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 44.44% | 1 | 2.21 | 0 | 0 |
2 | Lukas Elvenes | 5 | 5 | 4 | 9 | -2 | 7 | 5 | 11 | 21 | 23.81% | 3 | 99 | 19.85 | 3 | 1 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50% | 0 | 1.81 | 0 | 0 |
3 | Andrew Agozzino | 5 | 1 | 6 | 7 | -1 | 5 | 6 | 4 | 7 | 14.29% | 2 | 100 | 20.18 | 1 | 5 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 49.03% | 0 | 1.39 | 0 | 0 |
4 | Marko Dano | 5 | 0 | 2 | 2 | -1 | 4 | 9 | 5 | 11 | 0.00% | 3 | 74 | 15.00 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33% | 0 | 0.53 | 0 | 0 |
5 | JC Lipon | 5 | 1 | 1 | 2 | -6 | 14 | 7 | 3 | 20 | 5.00% | 2 | 82 | 16.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.49 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pheonix Copley | 5 | 1 | 3 | 1 | 0.894 | 4.12 | 306 | 0 | 0 | 21 | 199 | 117 | 0 | 0 | 0.000 | 0 |