![]() | Sharks |
GP: 2 | W: 0 | L: 1 | OTL: 1 | P: 1 GF: 4 | GA: 6 | PP%: 25.00% | PK%: 80.00% DG: Dave Mirandette | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #29 vs Blackhawks |
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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 | Alexander Wennberg | 0 | X | X | X | 100.00 | 67 | 42 | 89 | 85 | 73 | 78 | 93 | 76 | 84 | 76 | 64 | 75 | 66 | 73 | 73 | 72 | 50 | 0 | 0 | 28 | 3 | 2,250,000$ | ||
2 | Evgenii Dadonov | 0 | X | 100.00 | 71 | 42 | 92 | 82 | 67 | 72 | 92 | 78 | 30 | 74 | 77 | 59 | 57 | 69 | 69 | 75 | 50 | 0 | 0 | 33 | 2 | 5,000,000$ | ||||
3 | Danton Heinen | 0 | X | X | 100.00 | 73 | 43 | 92 | 80 | 69 | 63 | 85 | 67 | 25 | 65 | 75 | 64 | 25 | 67 | 67 | 72 | 50 | 0 | 0 | 27 | 4 | 1,110,000$ | |||
4 | Jonathan Drouin | 0 | X | X | 100.00 | 71 | 63 | 80 | 85 | 73 | 76 | 65 | 77 | 47 | 80 | 71 | 66 | 69 | 68 | 68 | 73 | 50 | 0 | 0 | 27 | 2 | 5,500,000$ | |||
5 | Jordan Staal (C) | 0 | X | 100.00 | 92 | 47 | 92 | 78 | 83 | 74 | 91 | 66 | 98 | 69 | 73 | 79 | 25 | 87 | 93 | 75 | 50 | 0 | 0 | 34 | 2 | 6,000,000$ | ||||
6 | Mikael Backlund | 0 | X | X | 100.00 | 71 | 43 | 88 | 84 | 73 | 76 | 93 | 71 | 90 | 76 | 68 | 83 | 32 | 78 | 78 | 75 | 50 | 0 | 0 | 33 | 2 | 3,500,000$ | |||
7 | Ross Colton | 0 | X | X | 100.00 | 84 | 45 | 90 | 79 | 70 | 64 | 82 | 71 | 81 | 67 | 79 | 68 | 53 | 57 | 59 | 75 | 50 | 0 | 0 | 26 | 2 | 700,000$ | |||
8 | Taylor Hall (A) | 0 | X | 100.00 | 69 | 43 | 84 | 90 | 75 | 74 | 93 | 81 | 40 | 83 | 76 | 62 | 53 | 77 | 79 | 76 | 50 | 0 | 0 | 30 | 3 | 6,000,000$ | ||||
9 | Troy Terry | 0 | X | X | 100.00 | 57 | 40 | 89 | 82 | 65 | 79 | 87 | 79 | 28 | 79 | 92 | 67 | 42 | 62 | 62 | 82 | 50 | 0 | 0 | 25 | 2 | 1,450,000$ | |||
10 | Nikolaj Ehlers | 0 | X | X | 99.00 | 65 | 41 | 89 | 93 | 64 | 78 | 80 | 78 | 55 | 81 | 91 | 63 | 25 | 68 | 70 | 82 | 50 | 0 | 0 | 26 | 4 | 6,000,000$ | |||
11 | Timo Meier | 0 | X | X | 100.00 | 86 | 46 | 80 | 88 | 77 | 81 | 91 | 85 | 43 | 84 | 90 | 70 | 25 | 66 | 66 | 85 | 50 | 0 | 0 | 25 | 3 | 6,000,000$ | |||
12 | Tage Thompson | 0 | X | X | 100.00 | 71 | 54 | 86 | 83 | 85 | 78 | 84 | 81 | 78 | 79 | 92 | 72 | 80 | 61 | 61 | 83 | 50 | 0 | 0 | 24 | 2 | 1,400,000$ | |||
13 | Justin Faulk (A) | 0 | X | 100.00 | 85 | 56 | 83 | 84 | 78 | 88 | 92 | 73 | 25 | 69 | 61 | 80 | 25 | 77 | 79 | 73 | 50 | 0 | 0 | 30 | 2 | 6,500,000$ | ||||
14 | MacKenzie Weegar | 0 | X | 100.00 | 87 | 56 | 72 | 84 | 78 | 88 | 93 | 64 | 25 | 70 | 50 | 93 | 25 | 64 | 65 | 70 | 50 | 0 | 0 | 28 | 1 | 1,600,000$ | ||||
15 | Mark Pysyk | 0 | X | 100.00 | 67 | 42 | 91 | 78 | 74 | 75 | 78 | 60 | 25 | 50 | 48 | 87 | 25 | 70 | 70 | 63 | 50 | 0 | 0 | 30 | 1 | 2,733,333$ | ||||
16 | Tyler Myers | 0 | X | 99.00 | 83 | 59 | 77 | 81 | 89 | 85 | 94 | 61 | 25 | 55 | 47 | 89 | 53 | 79 | 79 | 66 | 50 | 0 | 0 | 32 | 2 | 6,000,000$ | ||||
17 | Noah Hanifin | 0 | X | 99.00 | 71 | 54 | 92 | 88 | 81 | 83 | 90 | 74 | 25 | 71 | 53 | 82 | 63 | 70 | 70 | 70 | 50 | 0 | 0 | 25 | 1 | 4,950,000$ | ||||
18 | Vince Dunn | 0 | X | 100.00 | 75 | 68 | 76 | 85 | 74 | 81 | 84 | 76 | 25 | 68 | 50 | 68 | 25 | 65 | 65 | 66 | 50 | 0 | 0 | 25 | 1 | 1,875,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Jonathan Dahlen (R) | 0 | X | 100.00 | 61 | 41 | 93 | 80 | 66 | 67 | 59 | 76 | 25 | 63 | 72 | 67 | 25 | 51 | 51 | 70 | 50 | 0 | 0 | 24 | 2 | 750,000$ | ||||
2 | Calle Jarnkrok | 0 | X | X | X | 100.00 | 67 | 42 | 96 | 80 | 67 | 73 | 83 | 73 | 79 | 72 | 71 | 74 | 69 | 74 | 77 | 73 | 50 | 0 | 0 | 31 | 1 | 2,000,000$ | ||
3 | Brayden Burke | 0 | X | X | 100.00 | 68 | 60 | 85 | 62 | 60 | 58 | 58 | 60 | 75 | 62 | 54 | 60 | 51 | 44 | 44 | 59 | 50 | 0 | 0 | 25 | 1 | 925,000$ | |||
4 | Brett Seney | 0 | X | X | 100.00 | 59 | 56 | 65 | 77 | 56 | 71 | 73 | 67 | 80 | 67 | 62 | 59 | 59 | 49 | 49 | 65 | 50 | 0 | 0 | 26 | 4 | 750,000$ | |||
5 | Beck Malenstyn (R) | 0 | X | X | 100.00 | 93 | 96 | 79 | 68 | 78 | 53 | 64 | 60 | 31 | 50 | 58 | 74 | 25 | 45 | 45 | 63 | 50 | 0 | 0 | 24 | 2 | 750,000$ | |||
6 | Filip Zadina | 0 | X | X | 100.00 | 71 | 42 | 95 | 80 | 68 | 67 | 87 | 75 | 44 | 65 | 66 | 63 | 25 | 60 | 60 | 69 | 50 | 0 | 0 | 22 | 4 | 1,744,167$ | |||
7 | Jordan Greenway | 0 | X | X | 100.00 | 90 | 79 | 70 | 80 | 92 | 68 | 85 | 63 | 38 | 72 | 70 | 72 | 25 | 65 | 66 | 73 | 50 | 0 | 0 | 25 | 1 | 2,100,000$ | |||
8 | Otto Koivula | 0 | X | X | 100.00 | 75 | 45 | 99 | 71 | 84 | 58 | 68 | 62 | 67 | 70 | 55 | 63 | 25 | 45 | 45 | 63 | 50 | 0 | 0 | 24 | 1 | 925,000$ | |||
9 | Sam Steel | 0 | X | X | 100.00 | 65 | 41 | 91 | 81 | 67 | 63 | 81 | 63 | 69 | 66 | 59 | 68 | 25 | 62 | 62 | 66 | 50 | 0 | 0 | 24 | 2 | 874,125$ | |||
10 | Victor Rask | 0 | X | X | 100.00 | 61 | 41 | 98 | 76 | 73 | 62 | 81 | 65 | 62 | 71 | 72 | 62 | 36 | 70 | 71 | 71 | 50 | 0 | 0 | 29 | 1 | 1,000,000$ | |||
11 | Travis Boyd | 0 | X | X | X | 100.00 | 75 | 43 | 86 | 70 | 67 | 74 | 82 | 72 | 80 | 69 | 74 | 71 | 25 | 62 | 62 | 74 | 50 | 0 | 0 | 29 | 1 | 800,000$ | ||
12 | Shane Bowers (R) | 0 | X | 100.00 | 76 | 70 | 89 | 66 | 70 | 54 | 55 | 52 | 65 | 44 | 56 | 62 | 53 | 44 | 44 | 58 | 50 | 0 | 0 | 23 | 1 | 1,075,000$ | ||||
13 | Ian Mitchell (R) | 0 | X | 100.00 | 61 | 40 | 99 | 76 | 63 | 58 | 80 | 56 | 25 | 50 | 47 | 73 | 25 | 48 | 48 | 60 | 50 | 0 | 0 | 23 | 3 | 1,775,000$ | ||||
14 | Connor Clifton | 0 | X | 100.00 | 91 | 66 | 84 | 76 | 65 | 69 | 78 | 59 | 25 | 50 | 48 | 77 | 45 | 60 | 62 | 63 | 50 | 0 | 0 | 27 | 3 | 1,000,000$ | ||||
15 | Noah Juulsen | 0 | X | 100.00 | 90 | 46 | 99 | 68 | 75 | 65 | 61 | 53 | 25 | 59 | 47 | 78 | 25 | 47 | 47 | 63 | 50 | 0 | 0 | 25 | 1 | 750,000$ | ||||
16 | Jared McIsaac (R) | 0 | X | 100.00 | 75 | 71 | 85 | 67 | 71 | 58 | 60 | 50 | 25 | 44 | 41 | 61 | 39 | 44 | 44 | 54 | 50 | 0 | 0 | 22 | 4 | 896,667$ | ||||
17 | Nikita Okhotyuk (R) | 0 | X | 100.00 | 71 | 71 | 70 | 76 | 71 | 68 | 74 | 47 | 25 | 37 | 41 | 58 | 39 | 44 | 44 | 52 | 50 | 0 | 0 | 21 | 4 | 905,000$ | ||||
18 | Rasmus Sandin | 0 | X | 100.00 | 82 | 44 | 97 | 83 | 66 | 72 | 59 | 70 | 25 | 56 | 50 | 68 | 25 | 55 | 56 | 63 | 50 | 0 | 0 | 22 | 1 | 894,167$ | ||||
19 | Trevor van Riemsdyk | 0 | X | 100.00 | 61 | 55 | 83 | 80 | 71 | 72 | 72 | 58 | 25 | 56 | 47 | 89 | 25 | 68 | 68 | 63 | 50 | 0 | 0 | 31 | 2 | 800,000$ | ||||
20 | Josh Brown | 0 | X | 100.00 | 88 | 99 | 80 | 76 | 88 | 65 | 65 | 57 | 25 | 50 | 47 | 83 | 25 | 62 | 62 | 62 | 50 | 0 | 0 | 28 | 3 | 1,275,000$ | ||||
21 | Alan Quine | 0 | X | 100.00 | 79 | 73 | 92 | 75 | 73 | 50 | 48 | 62 | 78 | 64 | 54 | 69 | 51 | 55 | 56 | 63 | 50 | 0 | 0 | 29 | 1 | 735,000$ | ||||
22 | Jordy Bellerive (R) | 0 | X | 100.00 | 66 | 69 | 58 | 63 | 69 | 65 | 68 | 54 | 68 | 56 | 48 | 58 | 46 | 44 | 44 | 55 | 50 | 0 | 0 | 23 | 3 | 733,333$ | ||||
23 | Brett Leason | 0 | X | 100.00 | 63 | 42 | 96 | 70 | 77 | 52 | 76 | 59 | 36 | 58 | 58 | 67 | 25 | 47 | 47 | 62 | 50 | 0 | 0 | 23 | 1 | 925,000$ | ||||
24 | Max Gildon (R) | 0 | X | 100.00 | 78 | 73 | 91 | 70 | 73 | 50 | 51 | 47 | 25 | 38 | 41 | 62 | 39 | 44 | 44 | 52 | 50 | 0 | 0 | 23 | 3 | 925,000$ | ||||
25 | Tobias Geisser (R) | 0 | X | 100.00 | 81 | 77 | 90 | 63 | 77 | 54 | 56 | 46 | 25 | 37 | 40 | 63 | 38 | 44 | 44 | 52 | 50 | 0 | 0 | 23 | 3 | 873,778$ | ||||
MOYENNE D’ÉQUIPE | 99.83 | 75 | 49 | 86 | 84 | 75 | 77 | 87 | 73 | 47 | 72 | 70 | 74 | 43 | 70 | 71 | 74 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Braden Holtby | 100.00 | 74 | 56 | 58 | 81 | 80 | 68 | 83 | 74 | 80 | 74 | 78 | 72 | 76 | 74 | 50 | 0 | 0 | 33 | 3 | 4,300,000$ | |
2 | Frederik Andersen | 100.00 | 84 | 75 | 74 | 94 | 83 | 84 | 99 | 83 | 88 | 84 | 74 | 70 | 73 | 85 | 50 | 0 | 0 | 32 | 2 | 5,000,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | David Rittich | 100.00 | 60 | 53 | 54 | 82 | 65 | 54 | 72 | 58 | 65 | 60 | 45 | 60 | 61 | 61 | 50 | 0 | 0 | 30 | 2 | 2,750,000$ | |
2 | Jonathan Bernier | 100.00 | 65 | 53 | 55 | 68 | 75 | 55 | 79 | 64 | 69 | 65 | 64 | 69 | 69 | 66 | 50 | 0 | 0 | 34 | 1 | 1,000,000$ | |
3 | Maxime Lagace | 100.00 | 57 | 44 | 55 | 75 | 60 | 61 | 63 | 65 | 66 | 65 | 30 | 44 | 44 | 60 | 50 | 0 | 0 | 29 | 2 | 875,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 79 | 66 | 66 | 88 | 82 | 76 | 91 | 79 | 84 | 79 | 76 | 71 | 75 | 80 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Michel Therrien | 70 | 68 | 67 | 71 | 85 | 79 | 62 | CAN | 58 | 3 | 4,000,000$ |
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 | Nikolaj Ehlers | ![]() | LW/RW | 2 | 0 | 3 | 3 | -1 | 0 | 0 | 0 | 4 | 5 | 1 | 4 | 0.00% | 1 | 42 | 21.15 | 0 | 2 | 2 | 0 | 7 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 21.15 | 12 | 0 | 0 | 0 | 0 | 1.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Tage Thompson | ![]() | LW/RW | 2 | 1 | 2 | 3 | 0 | 0 | 0 | 9 | 6 | 10 | 3 | 5 | 10.00% | 0 | 39 | 19.55 | 1 | 1 | 2 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
3 | Troy Terry | ![]() | C/RW | 2 | 1 | 1 | 2 | 0 | 0 | 0 | 1 | 4 | 6 | 2 | 2 | 16.67% | 0 | 40 | 20.16 | 0 | 1 | 1 | 0 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.16 | 40 | 0 | 0 | 0 | 0 | 0.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Evgenii Dadonov | ![]() | RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 1 | 0.00% | 0 | 26 | 13.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13.40 | 3 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Jonathan Drouin | ![]() | LW/RW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 2 | 3 | 3 | 0 | 3 | 0.00% | 0 | 26 | 13.40 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Justin Faulk | ![]() | D | 2 | 1 | 0 | 1 | -4 | 2 | 0 | 8 | 3 | 6 | 1 | 0 | 16.67% | 3 | 47 | 23.77 | 1 | 0 | 1 | 4 | 8 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Tyler Myers | ![]() | D | 2 | 1 | 0 | 1 | 2 | 0 | 0 | 2 | 1 | 1 | 0 | 1 | 100.00% | 1 | 44 | 22.21 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Alexander Wennberg | ![]() | C/LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 1 | 0.00% | 0 | 17 | 8.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 8.95 | 10 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Danton Heinen | ![]() | LW/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 11 | 5.80 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5.80 | 1 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Jordan Staal | ![]() | C | 2 | 0 | 0 | 0 | 0 | 4 | 0 | 6 | 2 | 0 | 0 | 1 | 0.00% | 1 | 28 | 14.18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 14.18 | 31 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | MacKenzie Weegar | ![]() | D | 2 | 0 | 0 | 0 | 2 | 0 | 0 | 3 | 2 | 0 | 0 | 0 | 0.00% | 1 | 35 | 17.82 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Mark Pysyk | ![]() | D | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 3 | 1 | 2 | 0 | 0 | 0.00% | 5 | 30 | 15.21 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Mikael Backlund | ![]() | C/RW | 2 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 6 | 3 | 0 | 2 | 0.00% | 0 | 37 | 18.61 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 18.61 | 42 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Ross Colton | ![]() | C/LW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 | 0 | 0 | 0.00% | 0 | 11 | 5.59 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Taylor Hall | ![]() | LW | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 2 | 1 | 2 | 0 | 2 | 0.00% | 0 | 35 | 17.66 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 3 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Noah Hanifin | ![]() | D | 2 | 0 | 0 | 0 | -3 | 0 | 0 | 4 | 4 | 3 | 1 | 2 | 0.00% | 3 | 47 | 23.74 | 0 | 0 | 0 | 2 | 8 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Timo Meier | ![]() | LW/RW | 2 | 0 | 0 | 0 | -2 | 2 | 0 | 2 | 3 | 7 | 0 | 1 | 0.00% | 0 | 34 | 17.19 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Vince Dunn | ![]() | D | 2 | 0 | 0 | 0 | -1 | 4 | 0 | 3 | 1 | 1 | 0 | 0 | 0.00% | 1 | 33 | 16.69 | 0 | 0 | 0 | 0 | 6 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 36 | 4 | 8 | 12 | -13 | 12 | 0 | 48 | 45 | 51 | 9 | 25 | 7.84% | 19 | 590 | 16.39 | 2 | 4 | 6 | 12 | 74 | 0 | 0 | 0 | 0 | 32 | 0 | 0 | 48.97% | 145 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 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 |
# | 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 | Frederik Andersen | ![]() | 2 | 0 | 1 | 1 | 0.860 | 3.03 | 119 | 0 | 0 | 6 | 43 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 2 | 0 | 1 | 1 | 0.860 | 3.03 | 119 | 0 | 0 | 6 | 43 | 0 | 0 | 0 | 0 | 2 | 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 |
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 | Salaire moyen | Salaire moyen 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alexander Wennberg | ![]() | C/LW/RW | 28 | 1994-09-22 | No | 197 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 2,250,000$ | 2,192,675$ | 2,250,000$ | 2,192,675$ | 2,250,000$ | 2,192,675$ | No | 2,250,000$ | 2,250,000$ | Lien | |||||||
Braden Holtby | ![]() | G | 33 | 1989-09-16 | No | 214 Lbs | 6 ft2 | Yes | No | No | 3 | Pro & Farm | 4,300,000$ | 4,190,446$ | 4,300,000$ | 4,190,446$ | 4,300,000$ | 4,190,446$ | No | 4,300,000$ | 4,300,000$ | Lien | |||||||
Danton Heinen | ![]() | LW/RW | 27 | 1995-07-05 | No | 188 Lbs | 6 ft1 | No | No | No | 4 | Pro & Farm | 1,110,000$ | 1,081,720$ | 1,110,000$ | 1,081,720$ | 1,110,000$ | 1,081,720$ | No | 1,110,000$ | 1,110,000$ | 1,110,000$ | Lien | ||||||
Evgenii Dadonov | ![]() | RW | 33 | 1989-03-12 | No | 185 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 5,000,000$ | 4,872,611$ | 5,000,000$ | 4,872,611$ | 5,000,000$ | 4,872,611$ | No | 5,000,000$ | Lien | ||||||||
Frederik Andersen | ![]() | G | 32 | 1989-10-02 | No | 238 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 5,000,000$ | 4,872,611$ | 5,000,000$ | 4,872,611$ | 5,000,000$ | 4,872,611$ | No | 5,000,000$ | Lien | ||||||||
Jonathan Drouin | ![]() | LW/RW | 27 | 1995-03-28 | No | 201 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 5,500,000$ | 5,359,873$ | 5,500,000$ | 5,359,873$ | 5,500,000$ | 5,359,873$ | No | 5,500,000$ | Lien | ||||||||
Jordan Staal | ![]() | C | 34 | 1988-09-10 | No | 220 Lbs | 6 ft4 | No | No | No | 2 | Pro & Farm | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | No | 6,000,000$ | Lien | ||||||||
Justin Faulk | ![]() | D | 30 | 1992-03-20 | No | 217 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 6,500,000$ | 6,334,395$ | 6,500,000$ | 6,334,395$ | 6,500,000$ | 6,334,395$ | No | 6,500,000$ | Lien | ||||||||
MacKenzie Weegar | ![]() | D | 28 | 1994-01-07 | No | 212 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,600,000$ | 1,559,236$ | 1,600,000$ | 1,559,236$ | 1,600,000$ | 1,559,236$ | No | Lien | |||||||||
Mark Pysyk | ![]() | D | 30 | 1992-01-11 | No | 200 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 2,733,333$ | 2,663,694$ | 2,733,333$ | 2,663,694$ | 2,733,333$ | 2,663,694$ | No | Lien | |||||||||
Mikael Backlund | ![]() | C/RW | 33 | 1989-03-17 | No | 200 Lbs | 6 ft0 | Yes | No | No | 2 | Pro & Farm | 3,500,000$ | 3,410,828$ | 3,500,000$ | 3,410,828$ | 3,500,000$ | 3,410,828$ | No | 3,500,000$ | Lien | ||||||||
Nikolaj Ehlers | ![]() | LW/RW | 26 | 1996-02-14 | No | 172 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | No | 6,000,000$ | 6,000,000$ | 6,000,000$ | Lien | ||||||
Noah Hanifin | ![]() | D | 25 | 1997-01-25 | No | 215 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 4,950,000$ | 4,823,885$ | 4,950,000$ | 4,823,885$ | 4,950,000$ | 4,823,885$ | No | Lien | |||||||||
Ross Colton | ![]() | C/LW | 26 | 1996-09-11 | No | 191 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 700,000$ | 682,166$ | 700,000$ | 682,166$ | 700,000$ | 682,166$ | No | 700,000$ | Lien | ||||||||
Tage Thompson | ![]() | LW/RW | 24 | 1997-10-30 | No | 219 Lbs | 6 ft7 | No | No | No | 2 | Pro & Farm | 1,400,000$ | 1,364,331$ | 1,400,000$ | 1,364,331$ | 1,400,000$ | 1,364,331$ | No | 1,400,000$ | Lien | ||||||||
Taylor Hall | ![]() | LW | 30 | 1991-11-13 | No | 205 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | No | 6,000,000$ | 6,000,000$ | Lien | |||||||
Timo Meier | ![]() | LW/RW | 25 | 1996-10-08 | No | 215 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | No | 6,000,000$ | 6,000,000$ | Lien | |||||||
Troy Terry | ![]() | C/RW | 25 | 1997-09-10 | No | 174 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 1,450,000$ | 1,413,057$ | 1,450,000$ | 1,413,057$ | 1,450,000$ | 1,413,057$ | No | 1,450,000$ | Lien | ||||||||
Tyler Myers | ![]() | D | 32 | 1990-02-01 | No | 229 Lbs | 6 ft8 | No | No | No | 2 | Pro & Farm | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | 6,000,000$ | 5,847,134$ | No | 6,000,000$ | Lien | ||||||||
Vince Dunn | ![]() | D | 25 | 1996-10-29 | No | 203 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,875,000$ | 1,827,229$ | 1,875,000$ | 1,827,229$ | 1,875,000$ | 1,827,229$ | No | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 28.65 | 205 Lbs | 6 ft2 | 2.20 | 3,893,417$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
77,868,333$ | 66,710,000$ | 25,660,000$ | 7,110,000$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nikolaj Ehlers | Troy Terry | Tage Thompson | 35 | 1 | 2 | 2 |
2 | Taylor Hall | Mikael Backlund | Timo Meier | 30 | 1 | 2 | 2 |
3 | Jonathan Drouin | Jordan Staal | Evgenii Dadonov | 25 | 1 | 2 | 2 |
4 | Ross Colton | Alexander Wennberg | Danton Heinen | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Justin Faulk | Noah Hanifin | 35 | 1 | 2 | 2 | |
2 | MacKenzie Weegar | Tyler Myers | 30 | 1 | 2 | 2 | |
3 | Vince Dunn | Mark Pysyk | 25 | 1 | 2 | 2 | |
4 | Justin Faulk | Noah Hanifin | 10 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Nikolaj Ehlers | Troy Terry | Tage Thompson | 60 | 1 | 2 | 2 |
2 | Taylor Hall | Mikael Backlund | Timo Meier | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Justin Faulk | Noah Hanifin | 60 | 1 | 2 | 2 | |
2 | Vince Dunn | Tyler Myers | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jordan Staal | Alexander Wennberg | 60 | 1 | 2 | 2 |
2 | Mikael Backlund | Ross Colton | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Justin Faulk | Noah Hanifin | 60 | 1 | 2 | 2 |
2 | Mark Pysyk | Tyler Myers | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jordan Staal | 60 | 1 | 2 | 2 | Justin Faulk | Noah Hanifin | 60 | 1 | 2 | 2 |
2 | Alexander Wennberg | 40 | 1 | 2 | 2 | Mark Pysyk | Tyler Myers | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Nikolaj Ehlers | Taylor Hall | 60 | 1 | 2 | 2 |
2 | Troy Terry | Jordan Staal | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Justin Faulk | Noah Hanifin | 60 | 1 | 2 | 2 |
2 | Vince Dunn | Tyler Myers | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nikolaj Ehlers | Troy Terry | Mikael Backlund | Justin Faulk | Noah Hanifin |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Nikolaj Ehlers | Troy Terry | Mikael Backlund | Justin Faulk | Noah Hanifin |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Evgenii Dadonov, Jonathan Drouin, Troy Terry | Evgenii Dadonov, Jonathan Drouin | Nikolaj Ehlers |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Vince Dunn, Mark Pysyk, Noah Hanifin | Vince Dunn | Mark Pysyk, Justin Faulk |
Tirs de pénalité |
---|
Nikolaj Ehlers, Taylor Hall, Troy Terry, Jordan Staal, Mikael Backlund |
Gardien |
---|
#1 : Frederik Andersen, #2 : Braden Holtby |
Lignes d’attaque personnalisées en prolongation |
---|
Nikolaj Ehlers, Taylor Hall, Troy Terry, Jordan Staal, Mikael Backlund, Alexander Wennberg, Alexander Wennberg, Evgenii Dadonov, Jonathan Drouin, Timo Meier, Ross Colton |
Lignes de défense personnalisées en prolongation |
---|
Justin Faulk, Noah Hanifin, MacKenzie Weegar, Tyler Myers, Vince Dunn |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
1 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 1 | 0 | 0 | 0 | 22 | 11 | 6 | 5 | 0 | 25 | 14 | 10 | 21 | 2 | 0 | 0.00% | 4 | 1 | 75.00% | 0 | 27 | 54 | 50.00% | 33 | 58 | 56.90% | 11 | 32 | 34.38% | 22 | 15 | 24 | 7 | 13 | 6 |
2 | ![]() | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 2 | 0 | 1 | 0 | 29 | 11 | 8 | 10 | 0 | 18 | 5 | 2 | 27 | 6 | 2 | 33.33% | 1 | 0 | 100.00% | 0 | 27 | 54 | 50.00% | 33 | 58 | 56.90% | 11 | 32 | 34.38% | 25 | 18 | 21 | 7 | 13 | 6 |
Total | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 51 | 22 | 14 | 15 | 0 | 43 | 19 | 12 | 48 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 27 | 54 | 50.00% | 33 | 58 | 56.90% | 11 | 32 | 34.38% | 47 | 33 | 45 | 14 | 26 | 13 | |
_Since Last GM Reset | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 51 | 22 | 14 | 15 | 0 | 43 | 19 | 12 | 48 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 27 | 54 | 50.00% | 33 | 58 | 56.90% | 11 | 32 | 34.38% | 47 | 33 | 45 | 14 | 26 | 13 | |
_Vs Conference | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 4 | 6 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0.250 | 4 | 8 | 12 | 0 | 0 | 3 | 0 | 1 | 0 | 51 | 22 | 14 | 15 | 0 | 43 | 19 | 12 | 48 | 8 | 2 | 25.00% | 5 | 1 | 80.00% | 0 | 27 | 54 | 50.00% | 33 | 58 | 56.90% | 11 | 32 | 34.38% | 47 | 33 | 45 | 14 | 26 | 13 |
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 |
2 | 1 | L1 | 4 | 8 | 12 | 51 | 43 | 19 | 12 | 48 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 1 | 0 | 1 | 0 | 0 | 4 | 6 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 2 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 1 | 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 |
---|---|---|---|---|---|---|
8 | 2 | 25.00% | 5 | 1 | 80.00% | 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 |
---|---|---|---|---|---|---|---|
22 | 14 | 15 | 0 | 3 | 0 | 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 |
27 | 54 | 50.00% | 33 | 58 | 56.90% | 11 | 32 | 34.38% |
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 |
47 | 33 | 45 | 14 | 26 | 13 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
2 - 2022-10-10 | 4 | ![]() | 3 | ![]() | 4 | AL | X | Sommaire du match | ||
4 - 2022-10-12 | 17 | ![]() | 2 | ![]() | 1 | BL | Sommaire du match | |||
7 - 2022-10-15 | 29 | ![]() | - | ![]() | - | |||||
9 - 2022-10-17 | 45 | ![]() | - | ![]() | - | |||||
10 - 2022-10-18 | 53 | ![]() | - | ![]() | - | |||||
12 - 2022-10-20 | 63 | ![]() | - | ![]() | - | |||||
13 - 2022-10-21 | 76 | ![]() | - | ![]() | - | |||||
14 - 2022-10-22 | 86 | ![]() | - | ![]() | - | |||||
15 - 2022-10-23 | 93 | ![]() | - | ![]() | - | |||||
17 - 2022-10-25 | 106 | ![]() | - | ![]() | - | |||||
20 - 2022-10-28 | 118 | ![]() | - | ![]() | - | |||||
22 - 2022-10-30 | 133 | ![]() | - | ![]() | - | |||||
23 - 2022-10-31 | 143 | ![]() | - | ![]() | - | |||||
25 - 2022-11-02 | 152 | ![]() | - | ![]() | - | |||||
26 - 2022-11-03 | 161 | ![]() | - | ![]() | - | |||||
28 - 2022-11-05 | 171 | ![]() | - | ![]() | - | |||||
29 - 2022-11-06 | 175 | ![]() | - | ![]() | - | |||||
31 - 2022-11-08 | 189 | ![]() | - | ![]() | - | |||||
34 - 2022-11-11 | 205 | ![]() | - | ![]() | - | |||||
35 - 2022-11-12 | 211 | ![]() | - | ![]() | - | |||||
36 - 2022-11-13 | 219 | ![]() | - | ![]() | - | |||||
39 - 2022-11-16 | 237 | ![]() | - | ![]() | - | |||||
41 - 2022-11-18 | 246 | ![]() | - | ![]() | - | |||||
42 - 2022-11-19 | 255 | ![]() | - | ![]() | - | |||||
44 - 2022-11-21 | 263 | ![]() | - | ![]() | - | |||||
46 - 2022-11-23 | 277 | ![]() | - | ![]() | - | |||||
47 - 2022-11-24 | 284 | ![]() | - | ![]() | - | |||||
49 - 2022-11-26 | 297 | ![]() | - | ![]() | - | |||||
51 - 2022-11-28 | 309 | ![]() | - | ![]() | - | |||||
53 - 2022-11-30 | 314 | ![]() | - | ![]() | - | |||||
55 - 2022-12-02 | 327 | ![]() | - | ![]() | - | |||||
56 - 2022-12-03 | 342 | ![]() | - | ![]() | - | |||||
59 - 2022-12-06 | 350 | ![]() | - | ![]() | - | |||||
61 - 2022-12-08 | 361 | ![]() | - | ![]() | - | |||||
62 - 2022-12-09 | 369 | ![]() | - | ![]() | - | |||||
64 - 2022-12-11 | 382 | ![]() | - | ![]() | - | |||||
65 - 2022-12-12 | 392 | ![]() | - | ![]() | - | |||||
68 - 2022-12-15 | 405 | ![]() | - | ![]() | - | |||||
70 - 2022-12-17 | 414 | ![]() | - | ![]() | - | |||||
72 - 2022-12-19 | 430 | ![]() | - | ![]() | - | |||||
73 - 2022-12-20 | 434 | ![]() | - | ![]() | - | |||||
75 - 2022-12-22 | 450 | ![]() | - | ![]() | - | |||||
76 - 2022-12-23 | 456 | ![]() | - | ![]() | - | |||||
78 - 2022-12-25 | 469 | ![]() | - | ![]() | - | |||||
79 - 2022-12-26 | 479 | ![]() | - | ![]() | - | |||||
81 - 2022-12-28 | 490 | ![]() | - | ![]() | - | |||||
84 - 2022-12-31 | 499 | ![]() | - | ![]() | - | |||||
86 - 2023-01-02 | 508 | ![]() | - | ![]() | - | |||||
87 - 2023-01-03 | 521 | ![]() | - | ![]() | - | |||||
90 - 2023-01-06 | 531 | ![]() | - | ![]() | - | |||||
92 - 2023-01-08 | 541 | ![]() | - | ![]() | - | |||||
93 - 2023-01-09 | 549 | ![]() | - | ![]() | - | |||||
94 - 2023-01-10 | 565 | ![]() | - | ![]() | - | |||||
96 - 2023-01-12 | 573 | ![]() | - | ![]() | - | |||||
98 - 2023-01-14 | 584 | ![]() | - | ![]() | - | |||||
99 - 2023-01-15 | 592 | ![]() | - | ![]() | - | |||||
101 - 2023-01-17 | 608 | ![]() | - | ![]() | - | |||||
102 - 2023-01-18 | 614 | ![]() | - | ![]() | - | |||||
103 - 2023-01-19 | 623 | ![]() | - | ![]() | - | |||||
105 - 2023-01-21 | 636 | ![]() | - | ![]() | - | |||||
108 - 2023-01-24 | 648 | ![]() | - | ![]() | - | |||||
110 - 2023-01-26 | 657 | ![]() | - | ![]() | - | |||||
111 - 2023-01-27 | 666 | ![]() | - | ![]() | - | |||||
113 - 2023-01-29 | 679 | ![]() | - | ![]() | - | |||||
116 - 2023-02-01 | 693 | ![]() | - | ![]() | - | |||||
117 - 2023-02-02 | 703 | ![]() | - | ![]() | - | |||||
118 - 2023-02-03 | 714 | ![]() | - | ![]() | - | |||||
121 - 2023-02-06 | 724 | ![]() | - | ![]() | - | |||||
123 - 2023-02-08 | 740 | ![]() | - | ![]() | - | |||||
124 - 2023-02-09 | 747 | ![]() | - | ![]() | - | |||||
127 - 2023-02-12 | 763 | ![]() | - | ![]() | - | |||||
128 - 2023-02-13 | 769 | ![]() | - | ![]() | - | |||||
130 - 2023-02-15 | 780 | ![]() | - | ![]() | - | |||||
133 - 2023-02-18 | 791 | ![]() | - | ![]() | - | |||||
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
136 - 2023-02-21 | 808 | ![]() | - | ![]() | - | |||||
137 - 2023-02-22 | 815 | ![]() | - | ![]() | - | |||||
140 - 2023-02-25 | 831 | ![]() | - | ![]() | - | |||||
143 - 2023-02-28 | 852 | ![]() | - | ![]() | - | |||||
146 - 2023-03-03 | 868 | ![]() | - | ![]() | - | |||||
149 - 2023-03-06 | 875 | ![]() | - | ![]() | - | |||||
154 - 2023-03-11 | 890 | ![]() | - | ![]() | - | |||||
156 - 2023-03-13 | 900 | ![]() | - | ![]() | - |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6150 | 4150 | 2131 | 4131 | 1000 |
Prix des billets | 120 | 110 | 80 | 70 | 130 |
Assistance | 6,150 | 4,150 | 2,131 | 2,816 | 1,000 |
Attendance PCT | 100.00% | 100.00% | 100.00% | 68.17% | 100.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
40 | 16247 - 92.51% | 1,861,310$ | 1,861,310$ | 17562 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
2,083,842$ | 77,868,333$ | 77,868,333$ | 0$ | 0$ |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
---|---|---|---|---|
77,868,333$ | 1,981,933$ | 0$ | 20 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
74,452,400$ | 153 | 521,454$ | 79,782,462$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
83,751,220$ | 31,367,440$ | 25,281,060$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
77,868,333$ | 7,131,667$ | 85,000,000$ | 17,868,333$ |
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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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Lien |
---|---|---|---|---|---|
Miles Wood | ![]() | Lien | |||
Olen Zellweger | ![]() | 2021 | 48 | ||
Ozzy Wiesblatt | ![]() | 2020 | 67 | ||
Riley Stotts | ![]() | 4 | 92 | ||
Ronan Seeley | ![]() | 2020 | 89 | ||
Ryan Winterton | ![]() | 2021 | 70 | ||
Sean Walker | ![]() | Lien | |||
Shane Pinto | ![]() | 2019 | 6 |
Année | R1 | R2 | R3 | R4 | R5 |
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2023 | ![]() | ![]() | ![]() | ![]() | |
2024 | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
# | 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 |
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# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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