Monkeys | |
GP: 4 | W: 0 | L: 4 GF: 7 | GA: 30 | PP%: 41.67% | PK%: 26.67% DG: Fred Joanis | Morale : 32 | Moyenne d’équipe : 67 |
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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 | Derek Grant | X | X | 100.00 | 74 | 66 | 88 | 82 | 85 | 80 | 51 | 72 | 75 | 75 | 68 | 84 | 50 | 76 | 77 | 0 | 70 | 71 | 0 | 34 | 1 | 1,500,000$ | |||
2 | Pius Suter | X | X | 100.00 | 70 | 53 | 98 | 87 | 74 | 80 | 88 | 70 | 67 | 66 | 74 | 81 | 64 | 70 | 74 | 0 | 75 | 70 | 0 | 28 | 1 | 1,975,000$ | |||
3 | Hudson Fasching (R) | X | 100.00 | 77 | 61 | 95 | 88 | 81 | 78 | 54 | 73 | 50 | 69 | 76 | 76 | 53 | 69 | 71 | 0 | 85 | 70 | 0 | 29 | 1 | 750,000$ | ||||
4 | Matt Nieto | X | X | 100.00 | 70 | 56 | 95 | 86 | 79 | 79 | 90 | 69 | 60 | 67 | 71 | 77 | 50 | 81 | 79 | 0 | 76 | 70 | 0 | 31 | 1 | 850,000$ | |||
5 | Janne Kuokkanen (R) | X | X | 100.00 | 71 | 55 | 96 | 80 | 75 | 79 | 62 | 71 | 50 | 71 | 71 | 76 | 50 | 69 | 72 | 0 | 78 | 69 | 0 | 26 | 1 | 1,825,000$ | |||
6 | Connor McMichael (R) | X | X | 100.00 | 73 | 56 | 96 | 87 | 75 | 76 | 73 | 71 | 61 | 68 | 73 | 71 | 51 | 68 | 69 | 0 | 76 | 69 | 0 | 23 | 2 | 925,000$ | |||
7 | Julien Gauthier (R) | X | 100.00 | 91 | 74 | 96 | 82 | 92 | 76 | 53 | 67 | 50 | 66 | 67 | 69 | 50 | 69 | 69 | 0 | 77 | 68 | 0 | 26 | 1 | 1,225,000$ | ||||
8 | Boris Katchouk (R) | X | 100.00 | 86 | 62 | 90 | 84 | 85 | 78 | 64 | 68 | 50 | 69 | 66 | 73 | 50 | 69 | 70 | 0 | 76 | 68 | 0 | 26 | 2 | 758,333$ | ||||
9 | Filip Zadina (R) | X | X | 100.00 | 74 | 55 | 93 | 87 | 77 | 79 | 40 | 67 | 50 | 67 | 67 | 72 | 50 | 71 | 72 | 0 | 74 | 67 | 0 | 24 | 3 | 1,825,000$ | |||
10 | Nils Aman (R) | X | 100.00 | 72 | 55 | 94 | 90 | 75 | 78 | 75 | 66 | 58 | 68 | 64 | 76 | 50 | 68 | 70 | 0 | 72 | 67 | 0 | 24 | 2 | 925,000$ | ||||
11 | Fredrik Olofsson (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 38 | 49 | 0 | 28 | 1 | 750,000$ | ||||
12 | Jack Studnicka (R) | X | 100.00 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 50 | 0 | 21 | 49 | 0 | 25 | 2 | 762,500$ | ||||
13 | Henri Jokiharju (R) | X | 100.00 | 79 | 59 | 89 | 89 | 81 | 87 | 70 | 67 | 50 | 68 | 65 | 73 | 50 | 72 | 76 | 0 | 67 | 71 | 0 | 25 | 2 | 2,500,000$ | ||||
14 | Cale Fleury (R) | X | 100.00 | 92 | 64 | 96 | 84 | 88 | 79 | 40 | 62 | 50 | 64 | 60 | 65 | 50 | 70 | 70 | 0 | 70 | 67 | 0 | 25 | 1 | 883,333$ | ||||
15 | Ryan Merkley (R) | X | 100.00 | 63 | 55 | 95 | 88 | 73 | 81 | 43 | 67 | 50 | 68 | 66 | 59 | 50 | 66 | 69 | 0 | 75 | 66 | 0 | 24 | 1 | 1,225,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Philipp Kurashev (R) | X | X | X | 100.00 | 71 | 56 | 95 | 93 | 76 | 83 | 80 | 71 | 59 | 71 | 70 | 70 | 63 | 70 | 71 | 0 | 70 | 69 | 0 | 24 | 1 | 925,000$ | ||
MOYENNE D’ÉQUIPE | 100.00 | 73 | 58 | 89 | 82 | 76 | 76 | 61 | 66 | 55 | 66 | 66 | 70 | 52 | 68 | 69 | 0 | 69 | 66 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Laurent Brossoit | 100.00 | 75 | 66 | 64 | 91 | 72 | 75 | 71 | 75 | 75 | 72 | 77 | 71 | 73 | 0 | 78 | 71 | 0 | 31 | 1 | 1,750,000$ | |
Rayé | |||||||||||||||||||||||
MOYENNE D’ÉQUIPE | 100.00 | 75 | 66 | 64 | 91 | 72 | 75 | 71 | 75 | 75 | 72 | 77 | 71 | 73 | 0 | 78 | 71 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Dean Evason | 76 | 89 | 80 | 89 | 73 | 70 | 99 | CAN | 59 | 1 | 550,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Nieto | Monkeys (IDS) | LW/RW | 4 | 1 | 2 | 3 | -4 | 0 | 0 | 1 | 4 | 24 | 9 | 18 | 4.17% | 8 | 82 | 20.67 | 1 | 2 | 3 | 4 | 9 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.14% | 7 | 5 | 2 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Janne Kuokkanen | Monkeys (IDS) | LW/RW | 4 | 2 | 0 | 2 | -3 | 5 | 5 | 1 | 5 | 14 | 1 | 7 | 14.29% | 1 | 35 | 8.86 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 85.71% | 7 | 3 | 2 | 0 | 0 | 1.13 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
3 | Connor McMichael | Monkeys (IDS) | C/LW | 4 | 0 | 2 | 2 | -3 | 2 | 0 | 1 | 7 | 11 | 1 | 7 | 0% | 1 | 35 | 8.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.98% | 82 | 1 | 1 | 0 | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Julien Gauthier | Monkeys (IDS) | RW | 4 | 0 | 0 | 0 | -3 | 5 | 5 | 1 | 1 | 7 | 3 | 2 | 0% | 1 | 34 | 8.72 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
5 | Ryan Merkley | Monkeys (IDS) | D | 4 | 0 | 0 | 0 | -3 | 0 | 0 | 1 | 0 | 10 | 7 | 3 | 0% | 9 | 63 | 15.99 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Boris Katchouk | Monkeys (IDS) | LW | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 1 | 0.32 | 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 |
Statistiques d’équipe totales ou en moyenne | 24 | 3 | 4 | 7 | -16 | 12 | 10 | 5 | 17 | 66 | 21 | 37 | 4.55% | 20 | 254 | 10.58 | 1 | 2 | 3 | 4 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.61% | 99 | 14 | 12 | 0 | 0 | 0.55 | 0 | 0 | 1 | 0 | 1 | 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 |
# | 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 | 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 | Type | Salaire actuel | Salaire restant | Plafond salarial Non Activé | 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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Boris Katchouk | Monkeys (IDS) | LW | 26 | 1998-06-18 12:12:50 | Yes | 206 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 758,333$ | 0$ | 0$ | No | 758,333$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||||
Cale Fleury | Monkeys (IDS) | D | 25 | 1998-11-19 15:04:50 | Yes | 205 Lbs | 6 ft1 | No | No | Free Agent | No | No | 1 | 2024-03-03 | Pro & Farm | 883,333$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Connor McMichael | Monkeys (IDS) | C/LW | 23 | 2001-01-15 15:26:21 | Yes | 180 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||||
Derek Grant | Monkeys (IDS) | C/LW | 34 | 1990-04-20 16:02:45 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 1,500,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Filip Zadina | Monkeys (IDS) | LW/RW | 24 | 1999-11-27 15:09:35 | Yes | 189 Lbs | 6 ft0 | No | No | Free Agent | No | No | 3 | 2024-03-03 | Pro & Farm | 1,825,000$ | 0$ | 0$ | No | 1,825,000$ | 1,825,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Fredrik Olofsson | Monkeys (IDS) | LW | 28 | 1996-05-27 12:19:10 | Yes | 190 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Henri Jokiharju | Monkeys (IDS) | D | 25 | 1999-06-17 14:47:01 | Yes | 195 Lbs | 6 ft0 | No | No | N/A | No | No | 2 | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | 2,500,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | |||
Hudson Fasching | Monkeys (IDS) | RW | 29 | 1995-07-28 10:56:00 | Yes | 209 Lbs | 6 ft3 | No | No | Trade | 2024-06-24 | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Jack Studnicka | Monkeys (IDS) | C | 25 | 1999-02-18 12:28:57 | Yes | 187 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||||
Janne Kuokkanen | Monkeys (IDS) | LW/RW | 26 | 1998-05-25 14:47:44 | Yes | 193 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | Pro & Farm | 1,825,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Julien Gauthier | Monkeys (IDS) | RW | 26 | 1997-10-15 15:17:21 | Yes | 227 Lbs | 6 ft4 | No | No | Free Agent | No | No | 1 | 2024-03-03 | Pro & Farm | 1,225,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Laurent Brossoit | Monkeys (IDS) | G | 31 | 1993-03-23 17:36:37 | No | 215 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | Pro & Farm | 1,750,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | ||||
Matt Nieto | Monkeys (IDS) | LW/RW | 31 | 1992-11-05 15:26:19 | No | 190 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 850,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Nils Aman | Monkeys (IDS) | C | 24 | 2000-02-07 12:35:33 | Yes | 179 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | ||||
Philipp Kurashev | Monkeys (IDS) | C/LW/RW | 24 | 1999-10-12 15:29:07 | Yes | 190 Lbs | 6 ft0 | No | No | Free Agent | No | No | 1 | 2024-03-03 | Pro & Farm | 925,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Pius Suter | Monkeys (IDS) | C/LW | 28 | 1996-05-24 15:52:51 | No | 174 Lbs | 5 ft11 | No | No | N/A | No | No | 1 | Pro & Farm | 1,975,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | |||
Ryan Merkley | Monkeys (IDS) | D | 24 | 2000-08-14 15:31:58 | Yes | 186 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | Pro & Farm | 1,225,000$ | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
17 | 26.65 | 196 Lbs | 6 ft1 | 1.41 | 1,256,127$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Matt Nieto | 40 | 1 | 2 | 2 | ||
2 | 30 | 1 | 2 | 2 | |||
3 | Janne Kuokkanen | Connor McMichael | Julien Gauthier | 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 | Ryan Merkley | 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 | Matt Nieto | 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 | Ryan Merkley | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Matt Nieto | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Ryan Merkley | 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 | Ryan Merkley | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Matt Nieto | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Ryan Merkley | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matt Nieto |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Matt Nieto |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Boris Katchouk, Connor McMichael, Janne Kuokkanen | Boris Katchouk, Connor McMichael | Janne Kuokkanen |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
, Ryan Merkley, | Ryan Merkley, |
Tirs de pénalité |
---|
, , , Matt Nieto, |
Gardien |
---|
#1 : , #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 |
1 | Dynamos | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 30 | -23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 120 | 34 | 50 | 36 | 0 | 182 | 81 | 40 | 42 | 12 | 5 | 41.67% | 15 | 11 | 26.67% | 0 | 43 | 78 | 55.13% | 35 | 76 | 46.05% | 41 | 91 | 45.05% | 71 | 43 | 107 | 35 | 60 | 26 |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 30 | -23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 120 | 34 | 50 | 36 | 0 | 182 | 81 | 40 | 42 | 12 | 5 | 41.67% | 15 | 11 | 26.67% | 0 | 43 | 78 | 55.13% | 35 | 76 | 46.05% | 41 | 91 | 45.05% | 71 | 43 | 107 | 35 | 60 | 26 | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 30 | -23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 120 | 34 | 50 | 36 | 0 | 182 | 81 | 40 | 42 | 12 | 5 | 41.67% | 15 | 11 | 26.67% | 0 | 43 | 78 | 55.13% | 35 | 76 | 46.05% | 41 | 91 | 45.05% | 71 | 43 | 107 | 35 | 60 | 26 | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 7 | 30 | -23 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 120 | 34 | 50 | 36 | 0 | 182 | 81 | 40 | 42 | 12 | 5 | 41.67% | 15 | 11 | 26.67% | 0 | 43 | 78 | 55.13% | 35 | 76 | 46.05% | 41 | 91 | 45.05% | 71 | 43 | 107 | 35 | 60 | 26 | |
_Vs Division | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 30 | -23 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 11 | -8 | 0 | 0.000 | 7 | 12 | 19 | 0 | 0 | 1 | 5 | 1 | 0 | 120 | 34 | 50 | 36 | 0 | 182 | 81 | 40 | 42 | 12 | 5 | 41.67% | 15 | 11 | 26.67% | 0 | 43 | 78 | 55.13% | 35 | 76 | 46.05% | 41 | 91 | 45.05% | 71 | 43 | 107 | 35 | 60 | 26 |
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 |
4 | 0 | L4 | 7 | 12 | 19 | 120 | 182 | 81 | 40 | 42 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 4 | 0 | 0 | 0 | 0 | 7 | 30 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 4 | 19 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 11 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 4 | 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 |
---|---|---|---|---|---|---|
12 | 5 | 41.67% | 15 | 11 | 26.67% | 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 |
---|---|---|---|---|---|---|---|
34 | 50 | 36 | 0 | 1 | 5 | 1 | 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 |
43 | 78 | 55.13% | 35 | 76 | 46.05% | 41 | 91 | 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 |
71 | 43 | 107 | 35 | 60 | 26 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 | 2 | Dynamos | 11 | Monkeys | 1 | BL | Sommaire du match | |||
3 | 10 | Dynamos | 8 | Monkeys | 3 | BL | Sommaire du match | |||
5 | 18 | Monkeys | 2 | Dynamos | 5 | AL | Sommaire du match | |||
7 | 26 | Monkeys | 1 | Dynamos | 6 | AL | Sommaire du match |
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 |
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$ | 2,135,416$ | 2,135,416$ | 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 | Adam Gaudette | 153 | 178 | 215 | 393 | 136 | 7 | 241 | 197 | 1015 | 17.54% | 71 | 3140 | 20.53 | 51 | 101 | 152 | 93 | 1 | 0 | 1 | 10 | 23 | 5 | 70.52% | 22 | 2.50 | 0 | 1 |
2 | Micheal Ferland | 205 | 152 | 228 | 380 | 157 | 251 | 286 | 164 | 813 | 18.70% | 126 | 3703 | 18.07 | 54 | 94 | 148 | 91 | 5 | 1 | 6 | 10 | 21 | 8 | 62.36% | 12 | 2.05 | 1 | 4 |
3 | Ryan Poehling | 200 | 147 | 157 | 304 | 129 | 124 | 269 | 182 | 891 | 16.50% | 91 | 3813 | 19.07 | 41 | 50 | 91 | 78 | 4 | 2 | 6 | 9 | 10 | 4 | 61.82% | 11 | 1.59 | 3 | 5 |
4 | Ty Dellandrea | 166 | 130 | 147 | 277 | 110 | 135 | 286 | 206 | 753 | 17.26% | 71 | 2986 | 17.99 | 40 | 57 | 97 | 72 | 2 | 2 | 4 | 13 | 21 | 2 | 66.96% | 10 | 1.86 | 0 | 2 |
5 | Erik Brannstrom | 131 | 52 | 183 | 235 | 129 | 102 | 190 | 151 | 542 | 9.59% | 196 | 3384 | 25.83 | 38 | 66 | 104 | 90 | 0 | 2 | 2 | 5 | 3 | 2 | 75.00% | 0 | 1.39 | 0 | 2 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Braden Holtby | 140 | 119 | 13 | 4 | 0.902 | 2.99 | 8287 | 8 | 4 | 413 | 4210 | 2196 | 18 | 1 | 0.870 | 23 |
2 | Cayden Primeau | 60 | 54 | 4 | 0 | 0.915 | 2.31 | 3564 | 4 | 4 | 137 | 1606 | 920 | 5 | 0 | 1.000 | 6 |
3 | Cory Schneider | 60 | 52 | 3 | 3 | 0.909 | 3.15 | 3546 | 8 | 2 | 186 | 2033 | 1046 | 4 | 0 | 0.667 | 15 |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 66 | 9 | 0 | 0 | 2 | 3 | 2 | 580 | 323 | 257 | 41 | 34 | 4 | 0 | 0 | 1 | 1 | 1 | 298 | 158 | 140 | 41 | 32 | 5 | 0 | 0 | 1 | 2 | 1 | 282 | 165 | 117 | 142 | 580 | 973 | 1553 | 0 | 2 | 113 | 254 | 210 | 9 | 3515 | 1160 | 1234 | 1115 | 30 | 2794 | 897 | 725 | 1305 | 309 | 194 | 62.78% | 243 | 93 | 61.73% | 14 | 1048 | 1591 | 65.87% | 1032 | 1629 | 63.35% | 1166 | 1816 | 64.21% | 1999 | 1249 | 1633 | 622 | 1320 | 734 |
2021 | 82 | 62 | 14 | 0 | 2 | 2 | 2 | 0 | 535 | 265 | 270 | 41 | 31 | 6 | 0 | 2 | 2 | 0 | 0 | 257 | 120 | 137 | 41 | 31 | 8 | 0 | 0 | 0 | 2 | 0 | 278 | 145 | 133 | 134 | 535 | 890 | 1425 | 1 | 2 | 115 | 215 | 201 | 6 | 3441 | 1106 | 1166 | 1164 | 17 | 2490 | 836 | 769 | 1506 | 310 | 189 | 60.97% | 265 | 87 | 67.17% | 12 | 978 | 1658 | 58.99% | 926 | 1654 | 55.99% | 1018 | 1658 | 61.40% | 1951 | 1180 | 1605 | 657 | 1380 | 749 |
2022 | 82 | 66 | 11 | 0 | 2 | 1 | 1 | 1 | 601 | 319 | 282 | 41 | 35 | 4 | 0 | 1 | 0 | 1 | 0 | 290 | 142 | 148 | 41 | 31 | 7 | 0 | 1 | 1 | 0 | 1 | 311 | 177 | 134 | 140 | 601 | 998 | 1599 | 1 | 2 | 137 | 245 | 216 | 3 | 3646 | 1286 | 1241 | 1114 | 15 | 2557 | 834 | 767 | 1545 | 319 | 183 | 57.37% | 249 | 93 | 62.65% | 6 | 1020 | 1596 | 63.91% | 899 | 1527 | 58.87% | 1129 | 1814 | 62.24% | 2088 | 1327 | 1532 | 600 | 1314 | 742 |
2023 | 82 | 65 | 11 | 0 | 1 | 3 | 2 | 0 | 560 | 268 | 292 | 41 | 33 | 6 | 0 | 1 | 0 | 1 | 0 | 282 | 144 | 138 | 41 | 32 | 5 | 0 | 0 | 3 | 1 | 0 | 278 | 124 | 154 | 139 | 560 | 944 | 1504 | 0 | 4 | 97 | 236 | 224 | 3 | 3750 | 1216 | 1305 | 1226 | 9 | 2321 | 744 | 449 | 1632 | 319 | 223 | 69.91% | 212 | 75 | 64.62% | 6 | 1110 | 1728 | 64.24% | 819 | 1324 | 61.86% | 1141 | 1750 | 65.20% | 2122 | 1330 | 1488 | 602 | 1320 | 753 |
Total Saison régulière | 328 | 194 | 110 | 0 | 10 | 7 | 4 | 3 | 2179 | 1715 | 464 | 164 | 103 | 48 | 0 | 6 | 4 | 3 | 0 | 1102 | 810 | 292 | 164 | 91 | 62 | 0 | 4 | 3 | 1 | 3 | 1077 | 905 | 172 | 426 | 2179 | 3677 | 5856 | 3 | 3 | 543 | 838 | 784 | 21 | 13284 | 4497 | 4490 | 4273 | 54 | 10436 | 3351 | 2233 | 5277 | 1274 | 681 | 53.45% | 941 | 447 | 52.50% | 45 | 3730 | 6230 | 59.87% | 2814 | 4989 | 56.40% | 4410 | 7426 | 59.39% | 7955 | 4980 | 6391 | 2534 | 5397 | 2958 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 22 | 13 | 9 | 0 | 0 | 0 | 0 | 0 | 133 | 129 | 4 | 13 | 7 | 6 | 0 | 0 | 0 | 0 | 0 | 84 | 80 | 4 | 9 | 6 | 3 | 0 | 0 | 0 | 0 | 0 | 49 | 49 | 0 | 26 | 133 | 217 | 350 | 0 | 0 | 35 | 49 | 48 | 1 | 973 | 328 | 315 | 329 | 1 | 680 | 218 | 120 | 382 | 79 | 36 | 45.57% | 48 | 25 | 47.92% | 1 | 273 | 418 | 65.31% | 180 | 260 | 69.23% | 363 | 513 | 70.76% | 578 | 369 | 393 | 148 | 349 | 206 |
2021 | 19 | 14 | 5 | 0 | 0 | 0 | 0 | 0 | 118 | 80 | 38 | 10 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 73 | 39 | 34 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 45 | 41 | 4 | 28 | 118 | 208 | 326 | 0 | 0 | 28 | 43 | 46 | 1 | 816 | 280 | 257 | 274 | 5 | 715 | 225 | 241 | 340 | 65 | 44 | 67.69% | 64 | 31 | 51.56% | 1 | 205 | 383 | 53.52% | 215 | 414 | 51.93% | 232 | 399 | 58.15% | 437 | 277 | 402 | 150 | 302 | 154 |
2022 | 19 | 14 | 5 | 0 | 0 | 0 | 0 | 0 | 124 | 91 | 33 | 10 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 71 | 40 | 31 | 9 | 5 | 4 | 0 | 0 | 0 | 0 | 0 | 53 | 51 | 2 | 28 | 124 | 215 | 339 | 0 | 1 | 30 | 45 | 48 | 1 | 760 | 242 | 285 | 232 | 1 | 716 | 234 | 249 | 326 | 73 | 44 | 60.27% | 58 | 23 | 60.34% | 1 | 198 | 372 | 53.23% | 205 | 414 | 49.52% | 222 | 405 | 54.81% | 417 | 260 | 411 | 158 | 311 | 152 |
2023 | 12 | 8 | 4 | 0 | 0 | 0 | 0 | 0 | 79 | 66 | 13 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 41 | 39 | 2 | 6 | 4 | 2 | 0 | 0 | 0 | 0 | 0 | 38 | 27 | 11 | 16 | 79 | 136 | 215 | 0 | 0 | 15 | 37 | 27 | 0 | 555 | 186 | 211 | 158 | 0 | 369 | 121 | 79 | 244 | 55 | 33 | 60.00% | 27 | 13 | 51.85% | 1 | 192 | 303 | 63.37% | 99 | 152 | 65.13% | 193 | 286 | 67.48% | 313 | 198 | 219 | 82 | 187 | 109 |
Total Séries éliminatoires | 33 | 15 | 18 | 0 | 0 | 0 | 0 | 0 | 194 | 223 | -29 | 17 | 7 | 10 | 0 | 0 | 0 | 0 | 0 | 98 | 121 | -23 | 16 | 8 | 8 | 0 | 0 | 0 | 0 | 0 | 96 | 102 | -6 | 30 | 194 | 325 | 519 | 0 | 0 | 45 | 87 | 60 | 2 | 1156 | 366 | 418 | 369 | 3 | 1263 | 426 | 261 | 470 | 114 | 67 | 58.77% | 114 | 66 | 42.11% | 8 | 344 | 583 | 59.01% | 267 | 547 | 48.81% | 413 | 760 | 54.34% | 725 | 451 | 731 | 262 | 524 | 271 |
# | 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 | Micheal Ferland | 57 | 46 | 49 | 95 | -15 | 94 | 91 | 57 | 253 | 18.18% | 39 | 1057 | 18.55 | 22 | 24 | 46 | 41 | 0 | 0 | 0 | 3 | 4 | 2 | 51.04% | 4 | 1.80 | 0 | 0 |
2 | Erik Brannstrom | 37 | 19 | 65 | 84 | 2 | 25 | 51 | 52 | 187 | 10.16% | 53 | 965 | 26.09 | 14 | 31 | 45 | 40 | 0 | 0 | 0 | 1 | 5 | 1 | 100.00% | 1 | 1.74 | 0 | 1 |
3 | Ty Dellandrea | 42 | 37 | 44 | 81 | 24 | 34 | 57 | 60 | 196 | 18.88% | 25 | 755 | 17.98 | 14 | 14 | 28 | 29 | 2 | 0 | 2 | 5 | 1 | 1 | 60.31% | 2 | 2.14 | 0 | 0 |
4 | Adam Gaudette | 25 | 30 | 31 | 61 | 6 | 5 | 41 | 29 | 176 | 17.05% | 13 | 476 | 19.06 | 10 | 16 | 26 | 13 | 0 | 0 | 0 | 1 | 2 | 0 | 59.30% | 2 | 2.56 | 0 | 0 |
5 | Valeri Nichushkin | 23 | 28 | 29 | 57 | 13 | 9 | 40 | 25 | 122 | 22.95% | 11 | 458 | 19.95 | 9 | 8 | 17 | 21 | 0 | 0 | 0 | 1 | 1 | 0 | 71.77% | 2 | 2.49 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Braden Holtby | 25 | 23 | 1 | 1 | 0.915 | 3.08 | 1500 | 0 | 1 | 77 | 902 | 471 | 2 | 0 | 0 | 0 |
2 | Cory Schneider | 1 | 1 | 0 | 0 | 0.929 | 2.00 | 60 | 0 | 0 | 2 | 28 | 18 | 0 | 0 | 0 | 0 |