![]() | Barracuda |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Dominic Joyal | Morale : 50 | Moyenne d’équipe : 63 |
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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 | Jesper Bratt | 0 | X | X | 100.00 | 61 | 40 | 92 | 91 | 63 | 76 | 87 | 81 | 25 | 57 | 52 | 62 | 75 | 66 | 66 | 0 | 50 | 69 | 0 | 24 | 3 | 2,750,000$ | |||
2 | Max Comtois | 0 | X | 100.00 | 86 | 69 | 75 | 78 | 80 | 67 | 79 | 72 | 43 | 49 | 47 | 62 | 25 | 59 | 59 | 0 | 50 | 66 | 0 | 23 | 1 | 925,000$ | ||||
3 | Tyler Ennis | 0 | X | X | 100.00 | 77 | 42 | 90 | 85 | 58 | 63 | 69 | 73 | 57 | 51 | 47 | 65 | 61 | 75 | 77 | 0 | 50 | 66 | 0 | 32 | 1 | 1,200,000$ | |||
4 | Philipp Kurashev | 0 | X | X | X | 100.00 | 65 | 42 | 93 | 76 | 70 | 63 | 88 | 65 | 44 | 50 | 46 | 64 | 25 | 58 | 58 | 0 | 50 | 64 | 0 | 22 | 1 | 925,000$ | ||
5 | Evgeny Svechnikov | 0 | X | X | 100.00 | 80 | 45 | 84 | 77 | 77 | 57 | 74 | 59 | 37 | 49 | 47 | 64 | 25 | 56 | 56 | 0 | 50 | 62 | 0 | 25 | 1 | 874,125$ | |||
6 | Jesse Ylonen (R) | 0 | X | 100.00 | 63 | 41 | 95 | 66 | 69 | 59 | 74 | 68 | 25 | 50 | 47 | 61 | 25 | 45 | 45 | 0 | 50 | 61 | 0 | 22 | 1 | 925,000$ | ||||
7 | Aleksi Heponiemi | 0 | X | X | 100.00 | 65 | 57 | 85 | 72 | 57 | 63 | 64 | 62 | 50 | 44 | 44 | 59 | 53 | 45 | 45 | 0 | 50 | 60 | 0 | 23 | 1 | 1,775,000$ | |||
8 | Alexander Romanov | 0 | X | 100.00 | 94 | 70 | 81 | 82 | 75 | 81 | 92 | 61 | 25 | 41 | 38 | 91 | 25 | 59 | 60 | 0 | 50 | 66 | 0 | 22 | 1 | 1,177,500$ | ||||
9 | Ty Smith | 0 | X | 100.00 | 69 | 42 | 89 | 84 | 64 | 74 | 83 | 67 | 25 | 43 | 39 | 66 | 25 | 57 | 57 | 0 | 50 | 63 | 0 | 22 | 1 | 1,263,333$ | ||||
10 | Logan Stanley | 0 | X | 100.00 | 88 | 91 | 78 | 73 | 89 | 68 | 73 | 57 | 25 | 43 | 38 | 84 | 25 | 56 | 57 | 0 | 50 | 62 | 0 | 24 | 1 | 863,333$ | ||||
11 | Calen Addison (R) | 0 | X | 100.00 | 71 | 42 | 95 | 81 | 66 | 63 | 72 | 76 | 25 | 41 | 40 | 64 | 25 | 45 | 46 | 0 | 50 | 61 | 0 | 22 | 1 | 910,833$ | ||||
12 | Connor Clifton | 0 | X | 100.00 | 91 | 66 | 84 | 76 | 65 | 69 | 78 | 59 | 25 | 41 | 38 | 77 | 45 | 60 | 62 | 0 | 50 | 61 | 0 | 27 | 1 | 1,000,000$ | ||||
13 | Jacob Larsson | 0 | X | 100.00 | 74 | 72 | 79 | 77 | 72 | 72 | 79 | 50 | 25 | 32 | 32 | 65 | 38 | 63 | 63 | 0 | 50 | 57 | 0 | 25 | 1 | 1,200,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
1 | Keegan Kolesar | 0 | X | X | X | 100.00 | 97 | 99 | 75 | 75 | 82 | 63 | 86 | 60 | 46 | 50 | 46 | 72 | 25 | 59 | 60 | 0 | 50 | 68 | 0 | 25 | 0 | 0$ | ||
2 | Curtis Lazar | 0 | X | X | 100.00 | 92 | 46 | 92 | 80 | 70 | 62 | 86 | 56 | 59 | 48 | 47 | 81 | 25 | 69 | 70 | 0 | 50 | 67 | 0 | 27 | 0 | 0$ | |||
3 | Ryan Poehling (R) | 0 | X | X | 100.00 | 69 | 43 | 96 | 74 | 73 | 62 | 72 | 69 | 76 | 48 | 48 | 68 | 25 | 55 | 55 | 0 | 50 | 65 | 0 | 23 | 2 | 750,000$ | |||
4 | Brett Seney (R) | 0 | X | X | 100.00 | 59 | 56 | 65 | 77 | 56 | 71 | 73 | 67 | 80 | 46 | 46 | 59 | 59 | 49 | 49 | 0 | 50 | 64 | 0 | 26 | 2 | 750,000$ | |||
5 | Connor Dewar (R) | 0 | X | X | 100.00 | 79 | 63 | 80 | 65 | 66 | 56 | 69 | 62 | 56 | 48 | 46 | 74 | 25 | 47 | 47 | 0 | 50 | 63 | 0 | 23 | 2 | 925,000$ | |||
6 | Mike Vecchione (R) | 0 | X | X | 100.00 | 72 | 68 | 82 | 66 | 68 | 64 | 65 | 64 | 80 | 42 | 42 | 63 | 59 | 44 | 44 | 0 | 50 | 63 | 0 | 29 | 2 | 750,000$ | |||
7 | Bobby Brink (R) | 0 | X | 100.00 | 80 | 43 | 99 | 73 | 58 | 70 | 41 | 84 | 57 | 53 | 45 | 56 | 25 | 44 | 44 | 0 | 50 | 63 | 0 | 21 | 2 | 1,137,500$ | ||||
8 | Jack Drury (R) | 0 | X | 100.00 | 67 | 63 | 75 | 71 | 63 | 62 | 62 | 63 | 79 | 42 | 42 | 60 | 57 | 44 | 44 | 0 | 50 | 61 | 0 | 22 | 2 | 925,000$ | ||||
9 | Tim Gettinger (R) | 0 | X | 100.00 | 84 | 46 | 99 | 66 | 83 | 55 | 65 | 57 | 46 | 46 | 45 | 65 | 25 | 44 | 44 | 0 | 50 | 60 | 0 | 24 | 2 | 750,000$ | ||||
10 | Gabriel Fortier (R) | 0 | X | X | 100.00 | 89 | 45 | 87 | 66 | 62 | 54 | 82 | 62 | 25 | 46 | 47 | 61 | 25 | 44 | 44 | 0 | 50 | 59 | 0 | 22 | 2 | 880,000$ | |||
11 | Gustav Lindstrom | 0 | X | 100.00 | 73 | 43 | 89 | 75 | 72 | 69 | 70 | 59 | 25 | 42 | 38 | 78 | 25 | 55 | 55 | 0 | 50 | 61 | 0 | 23 | 0 | 0$ | ||||
12 | Derrick Pouliot (R) | 0 | X | 100.00 | 73 | 43 | 87 | 77 | 71 | 67 | 64 | 63 | 25 | 44 | 38 | 71 | 25 | 63 | 63 | 0 | 50 | 61 | 0 | 28 | 2 | 750,000$ | ||||
13 | Dylan Samberg (R) | 0 | X | 100.00 | 79 | 45 | 90 | 70 | 81 | 65 | 65 | 58 | 25 | 45 | 38 | 78 | 25 | 45 | 45 | 0 | 50 | 60 | 0 | 23 | 2 | 1,175,000$ | ||||
14 | Cale Fleury (R) | 0 | X | 100.00 | 86 | 46 | 99 | 74 | 77 | 65 | 70 | 60 | 25 | 39 | 38 | 75 | 25 | 48 | 48 | 0 | 50 | 59 | 0 | 23 | 2 | 750,000$ | ||||
15 | Alex Vlasic (R) | 0 | X | 100.00 | 75 | 44 | 95 | 75 | 77 | 64 | 43 | 55 | 25 | 40 | 39 | 73 | 25 | 45 | 45 | 0 | 50 | 57 | 0 | 21 | 2 | 1,491,667$ | ||||
16 | Slater Koekkoek | 0 | X | 100.00 | 76 | 44 | 76 | 76 | 72 | 57 | 52 | 54 | 25 | 43 | 38 | 70 | 25 | 60 | 62 | 0 | 50 | 57 | 0 | 28 | 0 | 0$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 77 | 54 | 86 | 75 | 70 | 65 | 72 | 64 | 41 | 45 | 43 | 69 | 34 | 54 | 54 | 0 | 50 | 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 | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ville Husso | 100.00 | 79 | 62 | 60 | 81 | 81 | 78 | 88 | 79 | 87 | 80 | 75 | 50 | 50 | 0 | 50 | 77 | 0 | 27 | 1 | 750,000$ | |
2 | Scott Wedgewood | 100.00 | 73 | 60 | 60 | 79 | 73 | 72 | 83 | 73 | 80 | 73 | 73 | 59 | 59 | 0 | 50 | 73 | 0 | 30 | 1 | 700,000$ | |
3 | Alex Nedeljkovic | 100.00 | 69 | 76 | 73 | 70 | 68 | 70 | 69 | 70 | 67 | 69 | 75 | 55 | 56 | 0 | 50 | 69 | 0 | 26 | 1 | 737,500$ | |
Rayé | |||||||||||||||||||||||
1 | Malcolm Subban | 100.00 | 46 | 48 | 60 | 81 | 45 | 91 | 45 | 50 | 90 | 81 | 45 | 55 | 55 | 0 | 50 | 64 | 0 | 28 | 0 | 0$ | |
2 | Connor Ingram (R) | 100.00 | 56 | 42 | 53 | 77 | 62 | 61 | 54 | 60 | 63 | 61 | 30 | 44 | 44 | 0 | 50 | 59 | 0 | 25 | 2 | 733,333$ | |
MOYENNE D’ÉQUIPE | 100.00 | 65 | 58 | 61 | 78 | 66 | 74 | 68 | 66 | 77 | 73 | 60 | 53 | 53 | 0 | 50 | 68 |
Nom de l’entraîneur | 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 | Salaire restant | Plafond salarial | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Aleksi Heponiemi | ![]() | LW/RW | 23 | 1/8/1999 | No | 155 Lbs | 178 CM | No | No | No | 1 | Pro & Farm | 1,775,000$ | 1,775,000$ | 0$ | 0$ | No | Lien | |||||||||
Alex Nedeljkovic | ![]() | G | 26 | 1/7/1996 | No | 189 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 737,500$ | 737,500$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Alex Vlasic | ![]() | D | 21 | 6/5/2001 | Yes | 198 Lbs | 198 CM | No | No | No | 2 | Pro & Farm | 1,491,667$ | 1,491,667$ | 0$ | 0$ | No | 1,491,667$ | Lien | ||||||||
Alexander Romanov | ![]() | D | 22 | 1/5/2000 | No | 208 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 1,177,500$ | 1,177,500$ | 0$ | 0$ | No | Lien | |||||||||
Bobby Brink | ![]() | RW | 21 | 7/8/2001 | Yes | 163 Lbs | 175 CM | No | No | No | 2 | Pro & Farm | 1,137,500$ | 1,137,500$ | 0$ | 0$ | No | 1,137,500$ | Lien | ||||||||
Brett Seney | ![]() | C/LW | 26 | 2/27/1996 | Yes | 156 Lbs | 175 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Cale Fleury | ![]() | D | 23 | 11/18/1998 | Yes | 213 Lbs | 185 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Calen Addison | ![]() | D | 22 | 4/10/2000 | Yes | 180 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 910,833$ | 910,833$ | 0$ | 0$ | No | Lien | |||||||||
Connor Clifton | ![]() | D | 27 | 4/28/1995 | No | 175 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Connor Dewar | ![]() | C/LW | 23 | 6/26/1999 | Yes | 182 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Connor Ingram | ![]() | G | 25 | 3/30/1997 | Yes | 196 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 733,333$ | 733,333$ | 0$ | 0$ | No | 733,333$ | |||||||||
Curtis Lazar | ![]() | C/RW | 27 | 2/2/1995 | No | 193 Lbs | 183 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Derrick Pouliot | ![]() | D | 28 | 1/16/1994 | Yes | 196 Lbs | 183 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Dylan Samberg | ![]() | D | 23 | 1/24/1999 | Yes | 216 Lbs | 193 CM | No | No | No | 2 | Pro & Farm | 1,175,000$ | 1,175,000$ | 0$ | 0$ | No | 1,175,000$ | Lien | ||||||||
Evgeny Svechnikov | ![]() | LW/RW | 25 | 10/31/1996 | No | 208 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 874,125$ | 874,125$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Gabriel Fortier | ![]() | C/LW | 22 | 2/6/2000 | Yes | 174 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 880,000$ | 880,000$ | 0$ | 0$ | No | 880,000$ | Lien | ||||||||
Gustav Lindstrom | ![]() | D | 23 | 10/20/1998 | No | 190 Lbs | 188 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Jack Drury | ![]() | C | 22 | 2/3/2000 | Yes | 174 Lbs | 180 CM | No | No | No | 2 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | 925,000$ | Lien | ||||||||
Jacob Larsson | ![]() | D | 25 | 4/29/1997 | No | 190 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Jesper Bratt | ![]() | LW/RW | 24 | 7/30/1998 | No | 175 Lbs | 178 CM | No | No | No | 3 | Pro & Farm | 2,750,000$ | 2,750,000$ | 0$ | 0$ | No | 2,750,000$ | 2,750,000$ | Lien / Lien NHL | |||||||
Jesse Ylonen | ![]() | RW | 22 | 10/3/1999 | Yes | 187 Lbs | 185 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
Keegan Kolesar | ![]() | C/LW/RW | 25 | 4/8/1997 | No | 217 Lbs | 188 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Logan Stanley | ![]() | D | 24 | 5/25/1998 | No | 228 Lbs | 201 CM | No | No | No | 1 | Pro & Farm | 863,333$ | 863,333$ | 0$ | 0$ | No | Lien | |||||||||
Malcolm Subban | ![]() | G | 28 | 12/21/1993 | No | 215 Lbs | 188 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Max Comtois | ![]() | LW | 23 | 1/8/1999 | No | 215 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Mike Vecchione | ![]() | C/RW | 29 | 2/25/1993 | Yes | 194 Lbs | 178 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Philipp Kurashev | ![]() | C/LW/RW | 22 | 10/12/1999 | No | 190 Lbs | 183 CM | No | No | No | 1 | Pro & Farm | 925,000$ | 925,000$ | 0$ | 0$ | No | Lien | |||||||||
Ryan Poehling | ![]() | C/LW | 23 | 1/3/1999 | Yes | 197 Lbs | 188 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Scott Wedgewood | ![]() | G | 30 | 8/13/1992 | No | 207 Lbs | 188 CM | No | No | No | 1 | Pro & Farm | 700,000$ | 700,000$ | 0$ | 0$ | No | Lien | |||||||||
Slater Koekkoek | ![]() | D | 28 | 2/18/1994 | No | 193 Lbs | 188 CM | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Lien / Lien NHL | |||||||||||
Tim Gettinger | ![]() | LW | 24 | 4/13/1998 | Yes | 218 Lbs | 198 CM | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | ||||||||
Ty Smith | ![]() | D | 22 | 3/23/2000 | No | 175 Lbs | 180 CM | No | No | No | 1 | Pro & Farm | 1,263,333$ | 1,263,333$ | 0$ | 0$ | No | Lien | |||||||||
Tyler Ennis | ![]() | LW/RW | 32 | 10/6/1989 | No | 161 Lbs | 175 CM | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Lien / Lien NHL | |||||||||
Ville Husso | ![]() | G | 27 | 2/5/1995 | No | 205 Lbs | 191 CM | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
34 | 24.62 | 192 Lbs | 185 CM | 1.29 | 874,827$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jesper Bratt | 40 | 1 | 2 | 2 | ||
2 | Max Comtois | Tyler Ennis | 30 | 1 | 2 | 2 | |
3 | Evgeny Svechnikov | Philipp Kurashev | Jesse Ylonen | 20 | 1 | 2 | 2 |
4 | Aleksi Heponiemi | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ty Smith | 40 | 1 | 2 | 2 | ||
2 | Jacob Larsson | 30 | 1 | 2 | 2 | ||
3 | Connor Clifton | 20 | 1 | 2 | 2 | ||
4 | Ty Smith | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jesper Bratt | 60 | 1 | 2 | 2 | ||
2 | Max Comtois | Tyler Ennis | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Ty Smith | 60 | 1 | 2 | 2 | ||
2 | Jacob Larsson | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Jesper Bratt | Max Comtois | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Ty Smith | 60 | 1 | 2 | 2 | |
2 | Jacob Larsson | 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 | Ty Smith | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 | Jacob Larsson | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Jesper Bratt | Max Comtois | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Ty Smith | 60 | 1 | 2 | 2 | |
2 | Jacob Larsson | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jesper Bratt | Ty Smith |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jesper Bratt | Ty Smith |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Philipp Kurashev, Evgeny Svechnikov, Jesse Ylonen | Philipp Kurashev, Evgeny Svechnikov | Jesse Ylonen |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, Connor Clifton, Jacob Larsson | Connor Clifton, Jacob Larsson |
Tirs de pénalité |
---|
, , Jesper Bratt, Max Comtois, |
Gardien |
---|
#1 : Alex Nedeljkovic, #2 : |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Tentatives en avantage numérique | Buts en avantage numérique | % en avantage numérique | Tentatives en désavantage numérique | Buts contre en désavantage numérique | % en désavantage numérique | Buts pour en désavantage numérique |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
---|---|---|---|---|---|---|---|---|
Gagnées en zone offensive | Total en zone offensive | % gagnées en zone offensive | Gagnées en zone défensive | Total en zone défensive | % gagnées en zone défensive | Gagnées en zone neutre | Total en zone neutre | % gagnées en zone neutre |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Temps avec la rondelle | |||||
---|---|---|---|---|---|
En zone offensive | Contrôle en zone offensive | En zone défensive | Contrôle en zone défensive | En zone neutre | Contrôle en zone neutre |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
---|
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 35 | 15 |
Assistance | 0.00% | 0.00% |
Assistance PCT | 0.00% | 0.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
42 | 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$ | 2,974,411$ | 2,354,329$ | 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 | Nikolay Goldobin | 332 | 209 | 191 | 400 | 86 | 42 | 148 | 410 | 1055 | 19.81% | 173 | 6253 | 18.84 | 49 | 39 | 88 | 179 | 5 | 7 | 12 | 26 | 25 | 7 | 39.56 | 17 | 1.28 | 2 | 7 |
2 | Alex Chiasson | 187 | 91 | 162 | 253 | 57 | 126 | 318 | 405 | 638 | 14.26% | 214 | 4446 | 23.78 | 11 | 38 | 49 | 99 | 4 | 8 | 12 | 35 | 9 | 4 | 43.98 | 10 | 1.14 | 3 | 15 |
3 | Derrick Pouliot | 333 | 46 | 151 | 197 | -18 | 164 | 452 | 387 | 607 | 7.58% | 424 | 8127 | 24.41 | 17 | 30 | 47 | 137 | 4 | 10 | 14 | 36 | 6 | 2 | 37.93 | 4 | 0.48 | 0 | 1 |
4 | Jordan Nolan | 167 | 51 | 123 | 174 | 44 | 201 | 276 | 232 | 420 | 12.14% | 86 | 3001 | 17.97 | 12 | 18 | 30 | 69 | 0 | 4 | 4 | 9 | 2 | 2 | 45.89 | 6 | 1.16 | 2 | 5 |
5 | Michael McCarron | 229 | 68 | 103 | 171 | 7 | 491 | 762 | 377 | 598 | 11.37% | 175 | 4478 | 19.56 | 14 | 18 | 32 | 97 | 2 | 3 | 5 | 16 | 6 | 2 | 63.10 | 8 | 0.76 | 5 | 10 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Garret Sparks | 167 | 50 | 102 | 15 | 0.902 | 3.11 | 10009 | 10 | 5 | 519 | 5289 | 2764 | 9 | 2 | 0.758 | 66 |
2 | Malcolm Subban | 101 | 42 | 36 | 6 | 0.908 | 3.27 | 5395 | 0 | 2 | 294 | 3186 | 1698 | 4 | 3 | 0.636 | 22 |
3 | Michael Hutchinson | 81 | 33 | 42 | 6 | 0.911 | 3.26 | 4784 | 2 | 1 | 260 | 2920 | 1580 | 2 | 2 | 0.765 | 17 |
4 | Carter Hutton | 84 | 31 | 50 | 1 | 0.861 | 4.88 | 4619 | 4 | 0 | 376 | 2698 | 1620 | 7 | 0 | 0.667 | 12 |
5 | Al Montoya | 1 | 1 | 0 | 0 | 0.750 | 7.74 | 31 | 0 | 0 | 4 | 16 | 7 | 0 | 0 | 0.00% | 0 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Année | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Saison régulière | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 83 | 20 | 48 | 0 | 1 | 5 | 7 | 2 | 274 | 308 | -34 | 41 | 10 | 23 | 0 | 1 | 3 | 3 | 1 | 153 | 138 | 15 | 42 | 10 | 25 | 0 | 0 | 2 | 4 | 1 | 121 | 170 | -49 | 63 | 274 | 450 | 724 | 1 | 0 | 82 | 114 | 70 | 13 | 2242 | 753 | 750 | 717 | 54 | 2801 | 1068 | 1206 | 1190 | 239 | 42 | 17.57% | 315 | 91 | 71.11% | 8 | 664 | 1483 | 44.77% | 722 | 1883 | 38.34% | 481 | 1171 | 41.08% | 1684 | 1083 | 2135 | 666 | 1216 | 579 |
2017 | 84 | 15 | 54 | 0 | 2 | 4 | 5 | 4 | 258 | 239 | 19 | 42 | 11 | 22 | 0 | 1 | 2 | 3 | 3 | 155 | 112 | 43 | 42 | 4 | 32 | 0 | 1 | 2 | 2 | 1 | 103 | 127 | -24 | 52 | 258 | 448 | 706 | 1 | 5 | 90 | 82 | 79 | 12 | 2063 | 645 | 660 | 725 | 64 | 2563 | 879 | 734 | 1580 | 254 | 44 | 17.32% | 353 | 69 | 80.45% | 18 | 669 | 1466 | 45.63% | 774 | 1738 | 44.53% | 513 | 1057 | 48.53% | 1739 | 1019 | 1989 | 726 | 1367 | 684 |
2018 | 82 | 30 | 43 | 0 | 1 | 3 | 2 | 3 | 346 | 321 | 25 | 41 | 16 | 20 | 0 | 1 | 2 | 1 | 1 | 177 | 173 | 4 | 41 | 14 | 23 | 0 | 0 | 1 | 1 | 2 | 169 | 148 | 21 | 72 | 346 | 586 | 932 | 2 | 1 | 119 | 121 | 103 | 4 | 2507 | 810 | 808 | 851 | 55 | 3025 | 1037 | 514 | 1650 | 284 | 60 | 21.13% | 242 | 59 | 75.62% | 5 | 653 | 1532 | 42.62% | 765 | 1830 | 41.80% | 526 | 1206 | 43.62% | 1686 | 1005 | 1958 | 677 | 1306 | 666 |
2019 | 84 | 37 | 35 | 0 | 5 | 1 | 1 | 5 | 290 | 255 | 35 | 42 | 26 | 13 | 0 | 2 | 0 | 0 | 1 | 177 | 107 | 70 | 42 | 11 | 22 | 0 | 3 | 1 | 1 | 4 | 113 | 148 | -35 | 92 | 290 | 508 | 798 | 3 | 2 | 88 | 89 | 107 | 9 | 2677 | 858 | 884 | 908 | 50 | 2981 | 1025 | 684 | 1922 | 293 | 76 | 25.94% | 332 | 66 | 80.12% | 13 | 851 | 1787 | 47.62% | 874 | 1924 | 45.43% | 526 | 1113 | 47.26% | 1815 | 1143 | 2030 | 665 | 1232 | 614 |
2020 | 84 | 26 | 52 | 0 | 2 | 0 | 3 | 1 | 366 | 447 | -81 | 42 | 15 | 24 | 0 | 2 | 0 | 1 | 0 | 210 | 200 | 10 | 42 | 11 | 28 | 0 | 0 | 0 | 2 | 1 | 156 | 247 | -91 | 63 | 366 | 600 | 966 | 0 | 0 | 129 | 122 | 110 | 6 | 2964 | 1032 | 1024 | 904 | 16 | 2943 | 1180 | 589 | 1580 | 320 | 97 | 30.31% | 290 | 104 | 64.14% | 7 | 430 | 1656 | 25.97% | 387 | 1485 | 26.06% | 377 | 1400 | 26.93% | 1858 | 1228 | 1989 | 655 | 1215 | 580 |
Total Saison régulière | 416 | 124 | 245 | 0 | 6 | 14 | 13 | 14 | 1471 | 1734 | -263 | 209 | 69 | 113 | 0 | 3 | 9 | 8 | 7 | 790 | 821 | -31 | 207 | 55 | 132 | 0 | 3 | 5 | 5 | 7 | 681 | 913 | -232 | 314 | 1471 | 2388 | 3859 | 7 | 7 | 494 | 522 | 436 | 31 | 12966 | 4279 | 4259 | 4337 | 190 | 14409 | 5137 | 2768 | 7538 | 1615 | 289 | 17.89% | 1276 | 335 | 73.75% | 27 | 3422 | 8251 | 41.47% | 3313 | 8520 | 38.88% | 2447 | 5943 | 41.17% | 8874 | 5675 | 10092 | 3334 | 6164 | 3012 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2016 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 6 | 12 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 3 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 3 | 9 | -6 | 2 | 6 | 9 | 15 | 0 | 0 | 0 | 4 | 1 | 1 | 119 | 33 | 37 | 48 | 1 | 185 | 65 | 26 | 69 | 15 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 31 | 85 | 36.47% | 45 | 128 | 35.16% | 19 | 56 | 33.93% | 90 | 58 | 139 | 42 | 73 | 29 |
Total Séries éliminatoires | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 4 | 26 | -22 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 8 | -6 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 2 | 18 | -16 | 0 | 4 | 7 | 11 | 0 | 0 | 1 | 2 | 1 | 0 | 93 | 31 | 35 | 27 | 0 | 172 | 39 | 22 | 70 | 8 | 0 | 0.00% | 11 | 1 | 90.91% | 0 | 10 | 67 | 14.93% | 15 | 92 | 16.30% | 9 | 53 | 16.98% | 63 | 41 | 127 | 28 | 48 | 19 |
# | 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 | Kyle Clifford | 5 | 2 | 1 | 3 | 1 | 11 | 9 | 2 | 18 | 11.11% | 4 | 63 | 12.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 66.67 | 0 | 0.95 | 0 | 0 |
2 | Jordan Nolan | 5 | 1 | 2 | 3 | 1 | 0 | 4 | 9 | 12 | 8.33% | 5 | 62 | 12.56 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 52.75 | 0 | 0.96 | 0 | 0 |
3 | Dylan Olsen | 5 | 0 | 2 | 2 | -1 | 2 | 8 | 8 | 13 | 0.00% | 9 | 76 | 15.22 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.53 | 0 | 0 |
4 | Jordan Schroeder | 5 | 1 | 1 | 2 | 1 | 2 | 0 | 8 | 20 | 5.00% | 0 | 48 | 9.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33 | 0 | 0.82 | 0 | 0 |
5 | Tyler Randell | 5 | 2 | 0 | 2 | 1 | 4 | 3 | 1 | 17 | 11.76% | 2 | 46 | 9.36 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.85 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Garret Sparks | 5 | 1 | 3 | 1 | 0.935 | 2.38 | 303 | 0 | 0 | 12 | 185 | 103 | 0 | 0 | 0.00% | 0 |