![]() | Rochester |
GP: 7 | W: 3 | L: 4 GF: 25 | GA: 28 | PP%: 18.42% | PK%: 65.52% DG: Yanick Morneau | Morale : 50 | Moyenne d’équipe : N/A |
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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 moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Miikka Salomaki | X | X | 100.00 | 68 | 33 | 86 | 78 | 74 | 74 | 91 | 66 | 72 | 66 | 66 | 63 | 76 | 51 | 45 | 47 | 50 | 0 | 0 | 28 | 2 | 750,000$ | |||
2 | Andrew Shaw | X | X | 100.00 | 68 | 40 | 85 | 77 | 75 | 87 | 93 | 65 | 79 | 64 | 71 | 64 | 77 | 55 | 51 | 41 | 50 | 0 | 0 | 29 | 2 | 900,000$ | |||
3 | Petr Vrana | X | X | X | 100.00 | 64 | 30 | 85 | 51 | 69 | 59 | 83 | 66 | 53 | 66 | 65 | 59 | 75 | 83 | 75 | 17 | 50 | 0 | 0 | 37 | 1 | 650,000$ | ||
4 | Devante Smith-Pelly | X | X | X | 100.00 | 66 | 26 | 90 | 72 | 83 | 81 | 90 | 63 | 64 | 64 | 64 | 59 | 82 | 58 | 49 | 41 | 50 | 0 | 0 | 29 | 1 | 550,000$ | ||
5 | Martin Frk | X | X | 100.00 | 73 | 32 | 85 | 80 | 76 | 76 | 91 | 70 | 73 | 67 | 69 | 57 | 82 | 51 | 44 | 52 | 50 | 0 | 0 | 27 | 2 | 800,000$ | |||
6 | Lucas Lessio | X | X | 100.00 | 69 | 34 | 80 | 69 | 87 | 77 | 88 | 66 | 69 | 65 | 66 | 67 | 69 | 49 | 52 | 38 | 50 | 0 | 0 | 28 | 2 | 700,000$ | |||
7 | Teemu Pulkkinen | X | X | 100.00 | 61 | 29 | 96 | 76 | 72 | 74 | 84 | 70 | 71 | 63 | 65 | 57 | 81 | 55 | 50 | 48 | 50 | 0 | 0 | 29 | 1 | 600,000$ | |||
8 | Dakota Joshua (R) | X | X | 100.00 | 92 | 60 | 85 | 74 | 84 | 70 | 83 | 67 | 91 | 67 | 69 | 65 | 75 | 49 | 49 | 65 | 50 | 0 | 0 | 25 | 1 | 500,000$ | |||
9 | Slava Voynov | X | 100.00 | 67 | 46 | 80 | 78 | 74 | 89 | 90 | 50 | 25 | 49 | 48 | 83 | 55 | 60 | 59 | 51 | 50 | 0 | 0 | 31 | 3 | 750,000$ | ||||
10 | Jake Muzzin | X | 100.00 | 74 | 35 | 75 | 70 | 88 | 88 | 98 | 54 | 50 | 50 | 50 | 85 | 75 | 70 | 67 | 42 | 50 | 0 | 0 | 32 | 1 | 852,000$ | ||||
11 | Braydon Coburn | X | 100.00 | 82 | 50 | 45 | 58 | 83 | 76 | 89 | 57 | 34 | 54 | 55 | 84 | 75 | 79 | 76 | 18 | 50 | 0 | 0 | 36 | 1 | 756,000$ | ||||
12 | Julian Melchiori | X | 100.00 | 71 | 38 | 71 | 63 | 95 | 84 | 89 | 47 | 50 | 48 | 46 | 85 | 77 | 56 | 58 | 48 | 50 | 0 | 0 | 29 | 1 | 600,000$ | ||||
13 | Mark Giordano | X | 100.00 | 68 | 33 | 88 | 56 | 72 | 80 | 82 | 56 | 50 | 50 | 47 | 86 | 54 | 92 | 99 | 15 | 50 | 0 | 0 | 37 | 1 | 500,000$ | ||||
14 | Martin Marincin | X | 100.00 | 75 | 31 | 76 | 71 | 93 | 80 | 85 | 44 | 50 | 44 | 43 | 92 | 71 | 63 | 60 | 42 | 50 | 0 | 0 | 29 | 1 | 900,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Josh Norris (R) | X | 100.00 | 82 | 35 | 92 | 87 | 89 | 89 | 93 | 77 | 86 | 72 | 81 | 66 | 87 | 38 | 39 | 83 | 50 | 0 | X | 0 | 22 | 2 | 900,000$ | |||
2 | Nick Merkley (R) | X | 100.00 | 79 | 32 | 87 | 81 | 78 | 78 | 86 | 77 | 73 | 72 | 72 | 65 | 78 | 42 | 41 | 66 | 50 | 0 | 0 | 24 | 1 | 800,000$ | ||||
3 | Max Willman (R) | X | X | 100.00 | 85 | 30 | 87 | 76 | 83 | 76 | 83 | 67 | 70 | 66 | 71 | 67 | 75 | 52 | 52 | 63 | 50 | 0 | 0 | 26 | 1 | 500,000$ | |||
4 | Slater Koekkoek | X | 100.00 | 68 | 32 | 87 | 84 | 82 | 77 | 78 | 42 | 53 | 41 | 42 | 80 | 75 | 49 | 47 | 57 | 50 | 0 | 0 | 27 | 3 | 800,000$ | ||||
5 | Dan Girardi | X | 100.00 | 73 | 30 | 81 | 54 | 88 | 76 | 84 | 50 | 50 | 51 | 49 | 86 | 74 | 87 | 99 | 1 | 50 | 0 | 0 | 37 | 3 | 750,000$ | ||||
6 | Brendan Guhle | X | 100.00 | 73 | 25 | 99 | 85 | 85 | 79 | 72 | 38 | 70 | 38 | 38 | 83 | 75 | 45 | 45 | 59 | 50 | 0 | 0 | 23 | 3 | 500,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 73 | 35 | 83 | 72 | 82 | 79 | 87 | 60 | 62 | 58 | 59 | 73 | 74 | 59 | 58 | 45 | 50 | 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 | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Scott Darling | 100.00 | 59 | 93 | 81 | 97 | 79 | 97 | 95 | 90 | 89 | 90 | 86 | 64 | 64 | 58 | 50 | 0 | 0 | 32 | 3 | 750,000$ | |
Rayé | |||||||||||||||||||||||
1 | Brian Elliott | 100.00 | 66 | 81 | 89 | 91 | 81 | 94 | 97 | 96 | 95 | 84 | 84 | 99 | 95 | 23 | 50 | 0 | 0 | 37 | 1 | 1,200,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 63 | 87 | 85 | 94 | 80 | 96 | 96 | 93 | 92 | 87 | 85 | 82 | 80 | 41 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Brad Shaw | 68 | 74 | 70 | 71 | 87 | 87 | 73 | CAN | 56 | 2 | 500,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Max Willman | ![]() | C/LW | 6 | 7 | 5 | 12 | 2 | 10 | 0 | 12 | 12 | 26 | 6 | 13 | 26.92% | 1 | 133 | 22.29 | 3 | 2 | 5 | 9 | 26 | 0 | 0 | 0 | 0 | 6 | 1 | 0 | 48.78% | 41 | 0 | 0 | 0 | 0 | 1.79 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
2 | Jake Muzzin | ![]() | D | 7 | 1 | 7 | 8 | 1 | 6 | 0 | 12 | 13 | 17 | 10 | 13 | 5.88% | 13 | 173 | 24.79 | 1 | 3 | 4 | 12 | 35 | 0 | 0 | 0 | 0 | 20 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3 | Dan Girardi | ![]() | D | 6 | 3 | 3 | 6 | 6 | 0 | 0 | 11 | 4 | 15 | 4 | 10 | 20.00% | 10 | 154 | 25.79 | 1 | 2 | 3 | 7 | 26 | 0 | 0 | 0 | 0 | 19 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
4 | Martin Frk | ![]() | LW/RW | 7 | 4 | 1 | 5 | 2 | 4 | 0 | 3 | 7 | 23 | 4 | 13 | 17.39% | 1 | 109 | 15.70 | 1 | 0 | 1 | 6 | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67% | 3 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
5 | Lucas Lessio | ![]() | LW/RW | 7 | 1 | 4 | 5 | 3 | 0 | 0 | 2 | 11 | 14 | 1 | 7 | 7.14% | 0 | 116 | 16.69 | 0 | 1 | 1 | 3 | 24 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.86 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
6 | Josh Norris | ![]() | C | 4 | 2 | 2 | 4 | -1 | 4 | 0 | 6 | 12 | 12 | 4 | 8 | 16.67% | 2 | 102 | 25.58 | 0 | 1 | 1 | 3 | 15 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 47.31% | 167 | 0 | 0 | 0 | 0 | 0.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7 | Dakota Joshua | ![]() | C/LW | 7 | 1 | 3 | 4 | 3 | 6 | 0 | 14 | 21 | 17 | 6 | 9 | 5.88% | 0 | 121 | 17.34 | 0 | 1 | 1 | 5 | 24 | 0 | 0 | 0 | 2 | 3 | 0 | 0 | 59.48% | 153 | 0 | 0 | 0 | 0 | 0.66 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Braydon Coburn | ![]() | D | 7 | 1 | 2 | 3 | -2 | 12 | 0 | 25 | 9 | 16 | 4 | 12 | 6.25% | 6 | 146 | 20.98 | 1 | 0 | 1 | 12 | 29 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Nick Merkley | ![]() | RW | 4 | 0 | 3 | 3 | -1 | 2 | 0 | 1 | 5 | 7 | 7 | 7 | 0.00% | 1 | 99 | 24.77 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 0 | 1 | 13 | 0 | 0 | 83.33% | 6 | 0 | 0 | 0 | 0 | 0.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Mark Giordano | ![]() | D | 7 | 2 | 1 | 3 | -3 | 2 | 0 | 3 | 3 | 5 | 1 | 2 | 40.00% | 5 | 95 | 13.70 | 0 | 0 | 0 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.63 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
11 | Miikka Salomaki | ![]() | LW/RW | 7 | 0 | 2 | 2 | 0 | 2 | 0 | 3 | 7 | 11 | 4 | 11 | 0.00% | 1 | 79 | 11.39 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 4 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Andrew Shaw | ![]() | C/RW | 7 | 0 | 2 | 2 | 0 | 0 | 0 | 5 | 3 | 14 | 7 | 14 | 0.00% | 0 | 79 | 11.36 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 53.49% | 86 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Devante Smith-Pelly | ![]() | C/LW/RW | 7 | 1 | 1 | 2 | -1 | 0 | 0 | 4 | 2 | 4 | 2 | 5 | 25.00% | 0 | 39 | 5.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
14 | Martin Marincin | ![]() | D | 7 | 0 | 2 | 2 | 2 | 2 | 0 | 5 | 5 | 20 | 5 | 13 | 0.00% | 17 | 151 | 21.58 | 0 | 1 | 1 | 16 | 28 | 0 | 0 | 0 | 0 | 18 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Slava Voynov | ![]() | D | 7 | 0 | 1 | 1 | 1 | 2 | 0 | 2 | 2 | 1 | 1 | 0 | 0.00% | 3 | 26 | 3.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Petr Vrana | ![]() | C/LW/RW | 7 | 1 | 0 | 1 | -1 | 2 | 0 | 3 | 7 | 6 | 0 | 5 | 16.67% | 0 | 39 | 5.61 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 39 | 0 | 0 | 0 | 0 | 0.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Julian Melchiori | ![]() | D | 7 | 0 | 1 | 1 | -5 | 4 | 0 | 17 | 3 | 4 | 1 | 4 | 0.00% | 12 | 97 | 13.94 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Dominik Kahun | ![]() | LW/RW | 1 | 0 | 1 | 1 | 0 | 0 | 0 | 1 | 1 | 0 | 2 | 6 | 0.00% | 0 | 24 | 24.63 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 75.00% | 4 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Teemu Pulkkinen | ![]() | LW/RW | 7 | 1 | 0 | 1 | -2 | 0 | 0 | 0 | 11 | 5 | 2 | 8 | 20.00% | 2 | 77 | 11.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 36.36% | 11 | 0 | 0 | 0 | 0 | 0.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 119 | 25 | 41 | 66 | 4 | 58 | 0 | 129 | 138 | 217 | 71 | 160 | 11.52% | 74 | 1868 | 15.70 | 7 | 11 | 18 | 78 | 255 | 0 | 0 | 0 | 4 | 137 | 3 | 1 | 50.76% | 528 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 2 | 3 | 5 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brian Elliott | ![]() | 7 | 3 | 2 | 1 | 0.894 | 3.83 | 407 | 2 | 0 | 26 | 245 | 0 | 1 | 0 | 0.00% | 0 | 7 | 0 | 1 | 0 | 0 |
2 | Scott Darling | ![]() | 1 | 0 | 1 | 0 | 0.947 | 1.94 | 31 | 0 | 0 | 1 | 19 | 0 | 0 | 1 | 0.00% | 0 | 0 | 7 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 8 | 3 | 3 | 1 | 0.898 | 3.70 | 438 | 2 | 0 | 27 | 264 | 0 | 1 | 1 | 0 | 7 | 7 | 1 | 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 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Shaw | ![]() | C/RW | 29 | 1991-07-20 | No | 195 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien | |||||||||
Braydon Coburn | ![]() | D | 36 | 1985-02-27 | No | 230 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 756,000$ | 0$ | 0$ | No | |||||||||||
Brendan Guhle | ![]() | D | 23 | 1997-07-29 08:04:16 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 500,000$ | 0$ | 0$ | No | 500,000$ | 500,000$ | Lien | ||||||||
Brian Elliott (contrat à 1 volet) | ![]() | G | 37 | 1984-01-10 17:37:02 | No | 198 Lbs | 6 ft3 | No | No | Yes | 1 | Pro & Farm | 1,200,000$ | 12,000$ | 0$ | No | |||||||||||
Dakota Joshua | ![]() | C/LW | 25 | 1996-05-15 08:36:56 | Yes | 199 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 500,000$ | 0$ | 0$ | No | Lien | ||||||||||
Dan Girardi | ![]() | D | 37 | 1984-04-28 | No | 212 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | ||||||||
Devante Smith-Pelly | ![]() | C/LW/RW | 29 | 1992-06-14 | No | 228 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 550,000$ | 0$ | 0$ | No | Lien | ||||||||||
Jake Muzzin (contrat à 1 volet) | ![]() | D | 32 | 1989-02-21 | No | 219 Lbs | 6 ft3 | No | No | Yes | 1 | Pro & Farm | 852,000$ | 8,520$ | 0$ | No | Lien | ||||||||||
Josh Norris | ![]() | C | 22 | 1999-05-05 | Yes | 194 Lbs | 6 ft2 | No | Yes | No | 2 | Pro & Farm | 900,000$ | 0$ | 0$ | No | 900,000$ | Lien | |||||||||
Julian Melchiori | ![]() | D | 29 | 1991-12-06 | No | 220 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 600,000$ | 0$ | 0$ | No | Lien | ||||||||||
Lucas Lessio | ![]() | LW/RW | 28 | 1993-01-23 | No | 217 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 700,000$ | 0$ | 0$ | No | 700,000$ | Lien | |||||||||
Mark Giordano | ![]() | D | 37 | 1983-10-03 | No | 202 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 500,000$ | 0$ | 0$ | No | Lien | ||||||||||
Martin Frk | ![]() | LW/RW | 27 | 1993-10-05 | No | 212 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | Lien | |||||||||
Martin Marincin | ![]() | D | 29 | 1992-02-18 | No | 218 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | Lien | ||||||||||
Max Willman | ![]() | C/LW | 26 | 1995-02-13 08:44:40 | Yes | 198 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 500,000$ | 0$ | 0$ | No | |||||||||||
Miikka Salomaki | ![]() | LW/RW | 28 | 1993-03-09 | No | 211 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Lien | |||||||||
Nick Merkley | ![]() | RW | 24 | 1997-05-23 | Yes | 198 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Lien | ||||||||||
Petr Vrana | ![]() | C/LW/RW | 37 | 1984-01-10 | No | 186 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 650,000$ | 0$ | 0$ | No | |||||||||||
Scott Darling | ![]() | G | 32 | 1988-12-22 06:40:45 | No | 241 Lbs | 6 ft6 | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | ||||||||
Slater Koekkoek | ![]() | D | 27 | 1994-02-18 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | 800,000$ | Lien | ||||||||
Slava Voynov | ![]() | D | 31 | 1990-01-15 | No | 198 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | Lien | ||||||||
Teemu Pulkkinen | ![]() | LW/RW | 29 | 1992-01-02 | No | 194 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 600,000$ | 0$ | 0$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
22 | 29.73 | 207 Lbs | 6 ft1 | 1.68 | 727,636$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | Lucas Lessio | Dakota Joshua | Martin Frk | 30 | 1 | 2 | 2 |
3 | Miikka Salomaki | Andrew Shaw | Teemu Pulkkinen | 20 | 1 | 2 | 2 |
4 | Devante Smith-Pelly | Petr Vrana | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jake Muzzin | 40 | 1 | 2 | 2 | ||
2 | Braydon Coburn | Martin Marincin | 30 | 1 | 2 | 2 | |
3 | Mark Giordano | Julian Melchiori | 20 | 1 | 2 | 2 | |
4 | Slava Voynov | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Lucas Lessio | Dakota Joshua | Martin Frk | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Jake Muzzin | 60 | 1 | 2 | 2 | ||
2 | Braydon Coburn | Martin Marincin | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Dakota Joshua | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jake Muzzin | 60 | 1 | 2 | 2 | |
2 | Braydon Coburn | Martin Marincin | 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 | Jake Muzzin | 60 | 1 | 2 | 2 | ||
2 | 40 | 1 | 2 | 2 | Braydon Coburn | Martin Marincin | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Dakota Joshua | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Jake Muzzin | 60 | 1 | 2 | 2 | |
2 | Braydon Coburn | Martin Marincin | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jake Muzzin |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jake Muzzin |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Andrew Shaw, Miikka Salomaki, Teemu Pulkkinen | Andrew Shaw, Miikka Salomaki | Teemu Pulkkinen |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Mark Giordano, Julian Melchiori, Slava Voynov | Mark Giordano | Julian Melchiori, Slava Voynov |
Tirs de pénalité |
---|
, , , Dakota Joshua, Lucas Lessio |
Gardien |
---|
#1 : , #2 : Scott Darling |
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 | ![]() | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 0.429 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 |
Total | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 0.429 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 | |
_Since Last GM Reset | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 0.429 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 | |
_Vs Conference | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 0.429 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 | |
_Vs Division | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 0.429 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 |
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 |
7 | 6 | L1 | 25 | 44 | 69 | 225 | 265 | 74 | 60 | 133 | 1 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 3 | 4 | 0 | 0 | 0 | 0 | 25 | 28 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 2 | 2 | 0 | 0 | 0 | 0 | 18 | 18 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
3 | 1 | 2 | 0 | 0 | 0 | 0 | 7 | 10 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 3 | 0 | 1 | 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 |
---|---|---|---|---|---|---|
38 | 7 | 18.42% | 29 | 10 | 65.52% | 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 |
---|---|---|---|---|---|---|---|
71 | 72 | 72 | 10 | 8 | 4 | 12 | 1 |
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 |
118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% |
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 |
163 | 109 | 182 | 55 | 92 | 46 |
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 - 2022-11-25 | 2 | ![]() | 5 | ![]() | 6 | BW | Sommaire du match | |||
3 - 2022-11-26 | 10 | ![]() | 7 | ![]() | 5 | BL | Sommaire du match | |||
5 - 2022-11-27 | 18 | ![]() | 1 | ![]() | 4 | AL | Sommaire du match | |||
7 - 2022-11-28 | 26 | ![]() | 3 | ![]() | 4 | AL | X | Sommaire du match | ||
9 - 2022-11-29 | 34 | ![]() | 2 | ![]() | 5 | BW | Sommaire du match | |||
11 - 2022-11-30 | 42 | ![]() | 3 | ![]() | 2 | AW | X | Sommaire du match | ||
13 - 2022-12-01 | 50 | ![]() | 4 | ![]() | 2 | BL | Sommaire du match |
Capacité de l’aréna - Tendance du prix des billets - % | ||
---|---|---|
Niveau 1 | Niveau 2 | |
Capacité | 2000 | 1000 |
Prix des billets | 45 | 25 |
Assistance | 7,906 | 4,000 |
Assistance PCT | 98.83% | 100.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
37 | 2977 - 99.22% | 153,822$ | 615,289$ | 3000 | 100 |
Dépenses | |||
---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs |
0$ | 1,395,600$ | 1,395,600$ | 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 | Max Willman | 80 | 30 | 36 | 66 | 14 | 76 | 152 | 133 | 226 | 13.27% | 6 | 1576 | 19.70 | 3 | 11 | 14 | 50 | 1 | 0 | 1 | 4 | 5 | 6 | 47.29 | 0 | 0.84 | 0 | 3 |
2 | Martin Frk | 82 | 19 | 39 | 58 | 4 | 30 | 69 | 85 | 213 | 8.92% | 1 | 1304 | 15.91 | 3 | 12 | 15 | 38 | 0 | 0 | 0 | 0 | 1 | 0 | 48.00 | 0 | 0.89 | 0 | 2 |
3 | Dominik Kahun | 51 | 22 | 31 | 53 | 12 | 0 | 32 | 80 | 200 | 11.00% | 5 | 1246 | 24.43 | 5 | 7 | 12 | 37 | 0 | 0 | 0 | 5 | 6 | 2 | 45.28 | 1 | 0.85 | 0 | 2 |
4 | Nick Merkley | 57 | 21 | 32 | 53 | 12 | 16 | 76 | 84 | 205 | 10.24% | 10 | 1169 | 20.52 | 4 | 9 | 13 | 50 | 0 | 0 | 0 | 5 | 0 | 1 | 48.99 | 0 | 0.91 | 1 | 3 |
5 | Tobias Rieder | 39 | 20 | 24 | 44 | 6 | 8 | 38 | 80 | 173 | 11.56% | 17 | 935 | 23.98 | 6 | 7 | 13 | 32 | 0 | 0 | 0 | 3 | 5 | 1 | 51.12 | 1 | 0.94 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brian Elliott | 58 | 33 | 17 | 7 | 0.909 | 3.03 | 3367 | 4 | 4 | 170 | 1858 | 0 | 2 | 1 | 0.538 | 13 |
2 | Scott Darling | 25 | 8 | 11 | 5 | 0.897 | 3.50 | 1423 | 0 | 0 | 83 | 803 | 0 | 1 | 0 | 0.600 | 10 |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
20 | 82 | 35 | 29 | 0 | 6 | 7 | 0 | 5 | 272 | 282 | -10 | 41 | 16 | 15 | 0 | 3 | 2 | 0 | 5 | 142 | 151 | -9 | 41 | 19 | 14 | 0 | 3 | 5 | 0 | 0 | 130 | 131 | -1 | 94 | 272 | 476 | 748 | 1 | 4 | 97 | 87 | 82 | 10 | 2657 | 894 | 867 | 862 | 56 | 2784 | 832 | 763 | 1493 | 320 | 61 | 19.06% | 326 | 62 | 80.98% | 1 | 1475 | 3002 | 49.13% | 1485 | 3125 | 47.52% | 673 | 1395 | 48.24% | 1927 | 1311 | 1956 | 631 | 1080 | 533 |
Total Saison régulière | 82 | 35 | 29 | 0 | 6 | 7 | 0 | 5 | 272 | 282 | -10 | 41 | 16 | 15 | 0 | 3 | 2 | 0 | 5 | 142 | 151 | -9 | 41 | 19 | 14 | 0 | 3 | 5 | 0 | 0 | 130 | 131 | -1 | 94 | 272 | 476 | 748 | 1 | 4 | 97 | 87 | 82 | 10 | 2657 | 894 | 867 | 862 | 56 | 2784 | 832 | 763 | 1493 | 320 | 61 | 19.06% | 326 | 62 | 80.98% | 1 | 1475 | 3002 | 49.13% | 1485 | 3125 | 47.52% | 673 | 1395 | 48.24% | 1927 | 1311 | 1956 | 631 | 1080 | 533 |
Séries éliminatoires | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
20 | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 |
Total Séries éliminatoires | 7 | 3 | 4 | 0 | 0 | 0 | 0 | 0 | 25 | 28 | -3 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 18 | 0 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 7 | 10 | -3 | 6 | 25 | 44 | 69 | 1 | 0 | 8 | 4 | 12 | 1 | 225 | 71 | 72 | 72 | 10 | 265 | 74 | 60 | 133 | 38 | 7 | 18.42% | 29 | 10 | 65.52% | 0 | 118 | 265 | 44.53% | 129 | 282 | 45.74% | 54 | 116 | 46.55% | 163 | 109 | 182 | 55 | 92 | 46 |
# | 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 | Max Willman | 6 | 7 | 5 | 12 | 2 | 10 | 12 | 12 | 26 | 26.92% | 1 | 133 | 22.29 | 3 | 2 | 5 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 48.78 | 0 | 1.79 | 0 | 0 |
2 | Jake Muzzin | 7 | 1 | 7 | 8 | 1 | 6 | 12 | 13 | 17 | 5.88% | 13 | 173 | 24.79 | 1 | 3 | 4 | 12 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.92 | 0 | 0 |
3 | Dan Girardi | 6 | 3 | 3 | 6 | 6 | 0 | 11 | 4 | 15 | 20.00% | 10 | 154 | 25.79 | 1 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 1 | 0 | 0.00% | 0 | 0.78 | 0 | 0 |
4 | Lucas Lessio | 7 | 1 | 4 | 5 | 3 | 0 | 2 | 11 | 14 | 7.14% | 0 | 116 | 16.69 | 0 | 1 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 36.36 | 0 | 0.86 | 0 | 0 |
5 | Martin Frk | 7 | 4 | 1 | 5 | 2 | 4 | 3 | 7 | 23 | 17.39% | 1 | 109 | 15.70 | 1 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 1 | 66.67 | 0 | 0.91 | 0 | 0 |
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brian Elliott | 7 | 3 | 2 | 1 | 0.894 | 3.83 | 407 | 2 | 0 | 26 | 245 | 0 | 1 | 0 | 0.00% | 0 |
2 | Scott Darling | 1 | 0 | 1 | 0 | 0.947 | 1.94 | 31 | 0 | 0 | 1 | 19 | 0 | 0 | 1 | 0.00% | 0 |