![]() | Senators |
GP: 2 | W: 1 | L: 1 | OTL: 0 | P: 2 GF: 7 | GA: 7 | PP%: 21.43% | PK%: 66.67% DG: Farlou Ferland | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #28 vs Maple Leafs |
|
|
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 | Jonathan Toews | 0 | X | 99.00 | 63 | 52 | 84 | 80 | 75 | 76 | 62 | 83 | 99 | 77 | 70 | 81 | 38 | 53 | 53 | 74 | 50 | 0 | 0 | 34 | 1 | 10,500,000$ | ||||
2 | Brian Boyle | 0 | X | X | 100.00 | 79 | 76 | 87 | 72 | 91 | 58 | 61 | 60 | 63 | 62 | 70 | 84 | 25 | 52 | 52 | 71 | 50 | 0 | 0 | 37 | 3 | 1,000,000$ | |||
3 | Jeff Skinner (A) | 0 | X | 99.00 | 63 | 41 | 84 | 87 | 70 | 76 | 92 | 83 | 48 | 79 | 88 | 63 | 40 | 80 | 80 | 81 | 50 | 0 | 0 | 30 | 3 | 11,500,000$ | ||||
4 | Josh Bailey | 0 | X | X | 100.00 | 61 | 42 | 97 | 82 | 74 | 75 | 90 | 70 | 42 | 80 | 71 | 73 | 61 | 84 | 88 | 74 | 50 | 0 | 0 | 32 | 2 | 5,000,000$ | |||
5 | Joel Farabee | 0 | X | X | 100.00 | 77 | 64 | 78 | 84 | 62 | 76 | 85 | 78 | 43 | 72 | 78 | 73 | 25 | 61 | 61 | 77 | 50 | 0 | 0 | 22 | 1 | 1,425,000$ | |||
6 | Mika Zibanejad (A) | 0 | X | 99.00 | 71 | 43 | 94 | 92 | 76 | 83 | 94 | 84 | 93 | 87 | 86 | 83 | 78 | 75 | 75 | 86 | 50 | 0 | 0 | 29 | 2 | 5,350,000$ | ||||
7 | Michael McLeod | 0 | X | X | 100.00 | 84 | 78 | 80 | 84 | 72 | 65 | 90 | 60 | 97 | 64 | 58 | 89 | 25 | 60 | 60 | 69 | 50 | 0 | 0 | 24 | 4 | 975,000$ | |||
8 | Paul Stastny | 0 | X | X | 98.00 | 63 | 41 | 93 | 78 | 70 | 77 | 89 | 74 | 83 | 76 | 81 | 74 | 25 | 85 | 90 | 78 | 50 | 0 | 0 | 36 | 3 | 5,250,000$ | |||
9 | Phillip Danault | 0 | X | 100.00 | 73 | 56 | 85 | 84 | 74 | 78 | 92 | 78 | 95 | 75 | 85 | 75 | 63 | 69 | 71 | 81 | 50 | 0 | 0 | 29 | 1 | 3,083,333$ | ||||
10 | Ryan Carpenter | 0 | X | X | 100.00 | 85 | 65 | 84 | 77 | 74 | 63 | 79 | 65 | 73 | 61 | 56 | 83 | 25 | 64 | 64 | 67 | 50 | 0 | 0 | 31 | 3 | 1,000,000$ | |||
11 | Robert Thomas | 0 | X | X | 99.00 | 59 | 41 | 92 | 86 | 68 | 80 | 78 | 76 | 89 | 92 | 79 | 79 | 25 | 64 | 66 | 80 | 50 | 0 | 0 | 23 | 4 | 2,800,000$ | |||
12 | Ivan Barbashev | 0 | X | X | X | 100.00 | 85 | 45 | 85 | 85 | 68 | 74 | 85 | 71 | 54 | 80 | 83 | 76 | 25 | 67 | 69 | 81 | 50 | 0 | 0 | 26 | 4 | 2,250,000$ | ||
13 | Brent Burns (C) | 88 | X | 98.00 | 69 | 44 | 85 | 86 | 87 | 96 | 95 | 80 | 25 | 73 | 53 | 95 | 66 | 93 | 93 | 73 | 50 | 0 | 0 | 37 | 3 | 10,500,000$ | ||||
14 | Samuel Girard | 0 | X | 100.00 | 75 | 42 | 90 | 88 | 62 | 84 | 83 | 76 | 25 | 69 | 49 | 78 | 25 | 66 | 68 | 66 | 50 | 0 | 0 | 24 | 2 | 5,000,000$ | ||||
15 | Marco Scandella | 0 | X | 100.00 | 80 | 45 | 91 | 80 | 77 | 75 | 85 | 59 | 25 | 52 | 48 | 86 | 25 | 75 | 78 | 64 | 50 | 0 | 0 | 32 | 2 | 3,275,000$ | ||||
16 | Radko Gudas | 0 | X | 100.00 | 99 | 99 | 63 | 75 | 77 | 75 | 91 | 60 | 25 | 52 | 48 | 89 | 25 | 73 | 75 | 65 | 50 | 0 | 0 | 32 | 2 | 2,500,000$ | ||||
17 | Dante Fabbro | 0 | X | 100.00 | 75 | 43 | 88 | 86 | 68 | 77 | 79 | 59 | 25 | 65 | 48 | 75 | 25 | 61 | 61 | 65 | 50 | 0 | 0 | 24 | 1 | 1,491,666$ | ||||
18 | Devon Toews | 0 | X | 97.00 | 71 | 43 | 90 | 83 | 71 | 93 | 85 | 75 | 25 | 77 | 61 | 91 | 75 | 66 | 68 | 75 | 50 | 0 | 0 | 28 | 3 | 4,100,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Alex Turcotte (R) | 0 | X | 100.00 | 75 | 43 | 91 | 74 | 67 | 59 | 61 | 56 | 52 | 50 | 55 | 63 | 25 | 44 | 44 | 60 | 50 | 0 | 0 | 21 | 2 | 2,475,000$ | ||||
2 | Garnet Hathaway | 0 | X | 100.00 | 98 | 58 | 79 | 75 | 78 | 65 | 92 | 62 | 35 | 63 | 71 | 79 | 25 | 68 | 69 | 74 | 50 | 0 | 0 | 30 | 3 | 1,500,000$ | ||||
3 | Marco Rossi (R) | 0 | X | 100.00 | 69 | 64 | 79 | 77 | 64 | 60 | 60 | 64 | 80 | 64 | 60 | 62 | 57 | 44 | 44 | 64 | 50 | 0 | 0 | 21 | 4 | 1,744,167$ | ||||
4 | Drake Caggiula | 0 | X | X | 100.00 | 73 | 42 | 92 | 78 | 63 | 68 | 57 | 60 | 32 | 63 | 60 | 77 | 25 | 65 | 65 | 66 | 50 | 0 | 0 | 28 | 1 | 1,000,000$ | |||
5 | Oskar Lindblom | 0 | X | 100.00 | 76 | 44 | 90 | 77 | 71 | 67 | 90 | 63 | 36 | 64 | 68 | 72 | 25 | 64 | 64 | 71 | 50 | 0 | 0 | 26 | 1 | 3,000,000$ | ||||
6 | Loui Eriksson | 0 | X | X | 100.00 | 59 | 41 | 97 | 74 | 73 | 64 | 66 | 63 | 54 | 67 | 56 | 78 | 25 | 86 | 86 | 65 | 50 | 0 | 0 | 38 | 1 | 1,000,000$ | |||
7 | Luke Glendening | 0 | X | X | 100.00 | 87 | 55 | 93 | 77 | 69 | 67 | 94 | 59 | 91 | 59 | 60 | 82 | 25 | 73 | 73 | 68 | 50 | 0 | 0 | 33 | 1 | 1,000,000$ | |||
8 | Paul Byron | 0 | X | X | X | 100.00 | 89 | 44 | 97 | 85 | 59 | 63 | 63 | 62 | 51 | 60 | 68 | 77 | 80 | 70 | 72 | 71 | 50 | 0 | 0 | 33 | 1 | 1,000,000$ | ||
9 | Kevin Rooney | 0 | X | X | 100.00 | 79 | 44 | 90 | 76 | 72 | 67 | 83 | 55 | 67 | 60 | 59 | 83 | 25 | 63 | 63 | 67 | 50 | 0 | 0 | 29 | 1 | 700,000$ | |||
10 | Ryan Dzingel | 0 | X | X | 100.00 | 67 | 94 | 70 | 78 | 72 | 66 | 63 | 64 | 58 | 59 | 70 | 71 | 25 | 66 | 66 | 69 | 50 | 0 | 0 | 30 | 3 | 1,100,000$ | |||
11 | Tyler Bozak | 0 | X | X | 100.00 | 63 | 42 | 90 | 75 | 72 | 62 | 66 | 61 | 73 | 64 | 57 | 78 | 74 | 78 | 81 | 65 | 50 | 0 | 0 | 36 | 1 | 2,000,000$ | |||
12 | Tyson Jost | 0 | X | X | 100.00 | 69 | 42 | 87 | 85 | 67 | 63 | 93 | 60 | 60 | 62 | 59 | 83 | 75 | 66 | 68 | 67 | 50 | 0 | 0 | 24 | 2 | 1,673,333$ | |||
13 | Ronald Attard | 0 | X | 100.00 | 81 | 45 | 84 | 71 | 77 | 70 | 43 | 69 | 25 | 50 | 54 | 78 | 25 | 45 | 45 | 63 | 50 | 0 | 0 | 23 | 2 | 1,350,000$ | ||||
14 | Nils Lundkvist (R) | 0 | X | 100.00 | 67 | 42 | 99 | 76 | 66 | 64 | 58 | 64 | 25 | 50 | 48 | 66 | 25 | 46 | 46 | 59 | 50 | 0 | 0 | 22 | 4 | 1,775,000$ | ||||
15 | Jacob Bernard-Docker (R) | 0 | X | 100.00 | 65 | 42 | 85 | 75 | 70 | 65 | 62 | 58 | 25 | 50 | 47 | 65 | 25 | 45 | 45 | 58 | 50 | 0 | 0 | 22 | 4 | 1,208,333$ | ||||
16 | Lassi Thomson (R) | 0 | X | 100.00 | 79 | 44 | 95 | 72 | 70 | 72 | 72 | 69 | 25 | 64 | 47 | 69 | 25 | 45 | 45 | 63 | 50 | 0 | 0 | 22 | 2 | 1,350,000$ | ||||
17 | Helge Grans (R) | 0 | X | 100.00 | 82 | 77 | 95 | 60 | 77 | 52 | 52 | 53 | 25 | 46 | 46 | 65 | 44 | 44 | 44 | 57 | 50 | 0 | 0 | 20 | 4 | 925,000$ | ||||
18 | Carl Dahlstrom | 0 | X | 100.00 | 86 | 83 | 93 | 67 | 83 | 59 | 62 | 52 | 25 | 46 | 39 | 71 | 37 | 59 | 59 | 56 | 50 | 0 | 0 | 27 | 3 | 850,000$ | ||||
19 | Carl Grundstrom | 0 | X | 100.00 | 90 | 46 | 85 | 80 | 73 | 58 | 76 | 59 | 35 | 60 | 70 | 61 | 25 | 59 | 59 | 69 | 50 | 0 | 0 | 24 | 4 | 725,000$ | ||||
20 | Greg McKegg | 0 | X | X | X | 100.00 | 77 | 44 | 95 | 71 | 70 | 58 | 56 | 58 | 55 | 57 | 57 | 77 | 25 | 65 | 65 | 64 | 50 | 0 | 0 | 30 | 3 | 750,000$ | ||
21 | Jay Beagle | 0 | X | 100.00 | 80 | 65 | 77 | 74 | 80 | 67 | 60 | 59 | 98 | 53 | 56 | 82 | 25 | 75 | 75 | 64 | 50 | 0 | 0 | 36 | 2 | 3,000,000$ | ||||
22 | Matthew Peca | 0 | X | X | X | 100.00 | 71 | 63 | 91 | 79 | 63 | 72 | 74 | 66 | 80 | 63 | 64 | 65 | 61 | 53 | 53 | 67 | 50 | 0 | 0 | 29 | 1 | 1,300,000$ | ||
23 | Matt Irwin | 0 | X | 94.15 | 86 | 45 | 89 | 73 | 75 | 61 | 52 | 63 | 25 | 53 | 48 | 74 | 25 | 67 | 67 | 62 | 50 | 0 | 0 | 34 | 2 | 700,000$ | ||||
24 | Tyler Tucker (R) | 0 | X | 100.00 | 71 | 76 | 58 | 63 | 76 | 63 | 67 | 48 | 25 | 40 | 40 | 59 | 38 | 44 | 44 | 50 | 50 | 0 | 0 | 22 | 4 | 808,333$ | ||||
MOYENNE D’ÉQUIPE | 99.39 | 74 | 53 | 86 | 83 | 73 | 77 | 84 | 72 | 57 | 72 | 67 | 80 | 39 | 69 | 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 | Anton Forsberg | 100.00 | 78 | 59 | 59 | 68 | 76 | 81 | 83 | 77 | 86 | 79 | 59 | 56 | 56 | 77 | 50 | 0 | 0 | 29 | 3 | 2,150,000$ | |
2 | Jake Allen | 100.00 | 71 | 68 | 68 | 75 | 75 | 66 | 69 | 72 | 75 | 71 | 92 | 67 | 70 | 71 | 50 | 0 | 0 | 32 | 3 | 4,000,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Chris Driedger | 100.00 | 69 | 60 | 59 | 85 | 78 | 60 | 77 | 69 | 67 | 68 | 75 | 51 | 52 | 68 | 50 | 0 | 0 | 28 | 3 | 3,500,000$ | |
2 | Malcolm Subban | 100.00 | 46 | 48 | 60 | 81 | 45 | 91 | 45 | 50 | 90 | 81 | 45 | 55 | 55 | 62 | 50 | 0 | 0 | 28 | 3 | 850,000$ | |
3 | Louis Domingue | 100.00 | 61 | 42 | 53 | 82 | 67 | 61 | 60 | 66 | 64 | 63 | 30 | 59 | 59 | 61 | 50 | 0 | 0 | 30 | 3 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 75 | 64 | 64 | 72 | 76 | 74 | 76 | 75 | 81 | 75 | 76 | 62 | 63 | 74 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 83 | 90 | 84 | 85 | 81 | 76 | 67 | USA | 57 | 3 | 3,500,000$ |
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 | Mika Zibanejad | ![]() | C | 2 | 2 | 2 | 4 | 1 | 2 | 0 | 3 | 7 | 6 | 1 | 5 | 33.33% | 0 | 40 | 20.14 | 0 | 1 | 1 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.14 | 42 | 0 | 0 | 0 | 0 | 1.99 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Robert Thomas | ![]() | C/RW | 2 | 0 | 3 | 3 | 1 | 0 | 0 | 0 | 6 | 7 | 1 | 4 | 0.00% | 0 | 40 | 20.09 | 0 | 0 | 0 | 2 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 20.09 | 3 | 0 | 0 | 0 | 0 | 1.49 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
3 | Brent Burns | ![]() | D | 2 | 1 | 1 | 2 | -3 | 2 | 0 | 3 | 0 | 3 | 3 | 3 | 33.33% | 0 | 49 | 24.76 | 1 | 1 | 2 | 3 | 13 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.81 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Samuel Girard | ![]() | D | 2 | 0 | 2 | 2 | 2 | 0 | 0 | 2 | 4 | 3 | 1 | 1 | 0.00% | 4 | 43 | 21.97 | 0 | 1 | 1 | 1 | 9 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.91 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Phillip Danault | ![]() | C | 2 | 2 | 0 | 2 | -1 | 0 | 0 | 1 | 1 | 8 | 1 | 5 | 25.00% | 0 | 34 | 17.23 | 2 | 0 | 2 | 5 | 10 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 17.23 | 24 | 0 | 0 | 0 | 0 | 1.16 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
6 | Jonathan Toews | ![]() | C | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 3 | 4 | 2 | 2 | 0.00% | 0 | 36 | 18.16 | 0 | 1 | 1 | 1 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 18.16 | 49 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Brian Boyle | ![]() | C/LW | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0.00% | 0 | 15 | 7.92 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 1.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Jeff Skinner | ![]() | LW | 2 | 1 | 0 | 1 | 1 | 0 | 0 | 1 | 2 | 3 | 1 | 4 | 33.33% | 0 | 40 | 20.12 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.50 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Marco Scandella | ![]() | D | 2 | 0 | 1 | 1 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 2 | 0.00% | 1 | 38 | 19.32 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.52 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Paul Stastny | ![]() | C/LW | 2 | 0 | 1 | 1 | -1 | 0 | 0 | 1 | 1 | 3 | 2 | 3 | 0.00% | 0 | 41 | 20.87 | 0 | 1 | 1 | 0 | 10 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 20.87 | 13 | 0 | 0 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Radko Gudas | ![]() | D | 2 | 0 | 1 | 1 | 2 | 8 | 0 | 10 | 0 | 1 | 0 | 0 | 0.00% | 5 | 29 | 14.57 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.69 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Ryan Carpenter | ![]() | C/RW | 2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 2 | 2 | 1 | 2 | 50.00% | 0 | 15 | 7.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 7.53 | 1 | 0 | 0 | 0 | 0 | 1.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | Devon Toews | ![]() | D | 2 | 0 | 1 | 1 | -3 | 0 | 0 | 5 | 2 | 1 | 1 | 2 | 0.00% | 3 | 50 | 25.14 | 0 | 1 | 1 | 1 | 12 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Josh Bailey | ![]() | LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 0 | 3 | 0 | 0 | 1 | 0.00% | 0 | 21 | 10.92 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 10.92 | 3 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Joel Farabee | ![]() | LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 2 | 3 | 0 | 1 | 5 | 0.00% | 0 | 21 | 10.72 | 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 |
16 | Michael McLeod | ![]() | C/RW | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 1 | 0 | 0 | 0.00% | 0 | 18 | 9.09 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 9.09 | 11 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Dante Fabbro | ![]() | D | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0.00% | 0 | 28 | 14.20 | 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 |
18 | Ivan Barbashev | ![]() | C/LW/RW | 2 | 0 | 0 | 0 | -1 | 0 | 0 | 4 | 1 | 5 | 0 | 2 | 0.00% | 0 | 25 | 12.70 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 36 | 7 | 14 | 21 | -5 | 12 | 0 | 37 | 40 | 49 | 17 | 42 | 14.29% | 13 | 590 | 16.41 | 3 | 6 | 9 | 14 | 112 | 0 | 0 | 0 | 0 | 33 | 1 | 0 | 49.66% | 149 | 0 | 0 | 0 | 0 | 0.71 | 0 | 0 | 0 | 0 | 0 | 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 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 | Anton Forsberg | ![]() | 2 | 1 | 1 | 0 | 0.793 | 3.91 | 92 | 0 | 0 | 6 | 29 | 0 | 0 | 0 | 0.00% | 0 | 2 | 0 | 0 | 0 | 0 |
2 | Jake Allen | ![]() | 1 | 0 | 0 | 0 | 0.929 | 2.22 | 27 | 0 | 0 | 1 | 14 | 0 | 0 | 0 | 0.00% | 0 | 0 | 2 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 3 | 1 | 1 | 0 | 0.837 | 3.50 | 120 | 0 | 0 | 7 | 43 | 0 | 0 | 0 | 0 | 2 | 2 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anton Forsberg | ![]() | G | 29 | 1992-11-26 | No | 176 Lbs | 6 ft2 | Yes | No | No | 3 | Pro & Farm | 2,150,000$ | 2,095,223$ | 2,150,000$ | 2,095,223$ | 2,150,000$ | 2,095,223$ | No | 2,150,000$ | 2,150,000$ | Lien | |||||||
Brent Burns | ![]() | D | 37 | 1985-03-08 | No | 230 Lbs | 6 ft5 | Yes | No | No | 3 | Pro & Farm | 10,500,000$ | 10,232,484$ | 10,500,000$ | 10,232,484$ | 10,500,000$ | 10,232,484$ | No | 10,500,000$ | 10,500,000$ | Lien | |||||||
Brian Boyle | ![]() | C/LW | 37 | 1984-12-18 | No | 245 Lbs | 6 ft4 | Yes | No | No | 3 | Pro & Farm | 1,000,000$ | 974,522$ | 1,000,000$ | 974,522$ | 1,000,000$ | 974,522$ | No | 1,000,000$ | 1,000,000$ | Lien | |||||||
Dante Fabbro | ![]() | D | 24 | 1998-06-20 | No | 189 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,491,666$ | 1,453,662$ | 1,491,666$ | 1,453,662$ | 1,491,666$ | 1,453,662$ | No | Lien | |||||||||
Devon Toews | ![]() | D | 28 | 1994-02-21 | No | 191 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 4,100,000$ | 3,995,541$ | 4,100,000$ | 3,995,541$ | 4,100,000$ | 3,995,541$ | No | 4,100,000$ | 4,100,000$ | Lien | |||||||
Ivan Barbashev | ![]() | C/LW/RW | 26 | 1995-12-14 | No | 187 Lbs | 6 ft0 | No | No | No | 4 | 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$ | 2,250,000$ | Lien | ||||||
Jake Allen | ![]() | G | 32 | 1990-08-07 | No | 190 Lbs | 6 ft2 | Yes | No | No | 3 | Pro & Farm | 4,000,000$ | 3,898,089$ | 4,000,000$ | 3,898,089$ | 4,000,000$ | 3,898,089$ | No | 4,000,000$ | 4,000,000$ | Lien | |||||||
Jeff Skinner | ![]() | LW | 30 | 1992-05-16 | No | 197 Lbs | 5 ft11 | Yes | No | No | 3 | Pro & Farm | 11,500,000$ | 11,207,006$ | 11,500,000$ | 11,207,006$ | 11,500,000$ | 11,207,006$ | No | 11,500,000$ | 11,500,000$ | Lien | |||||||
Joel Farabee | ![]() | LW/RW | 22 | 2000-02-25 | No | 164 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,425,000$ | 1,388,694$ | 1,425,000$ | 1,388,694$ | 1,425,000$ | 1,388,694$ | No | Lien | |||||||||
Jonathan Toews | ![]() | C | 34 | 1988-04-29 | No | 201 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 10,500,000$ | 10,232,484$ | 10,500,000$ | 10,232,484$ | 10,500,000$ | 10,232,484$ | No | Lien | |||||||||
Josh Bailey | ![]() | LW/RW | 32 | 1989-10-02 | No | 200 Lbs | 6 ft1 | 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 | ||||||||
Marco Scandella | ![]() | D | 32 | 1990-02-22 | No | 208 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 3,275,000$ | 3,191,561$ | 3,275,000$ | 3,191,561$ | 3,275,000$ | 3,191,561$ | No | 3,275,000$ | Lien | ||||||||
Michael McLeod | ![]() | C/RW | 24 | 1998-02-03 | No | 188 Lbs | 6 ft2 | No | No | No | 4 | Pro & Farm | 975,000$ | 950,159$ | 975,000$ | 950,159$ | 975,000$ | 950,159$ | No | 975,000$ | 975,000$ | 975,000$ | Lien | ||||||
Mika Zibanejad | ![]() | C | 29 | 1993-04-18 | No | 208 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 5,350,000$ | 5,213,694$ | 5,350,000$ | 5,213,694$ | 5,350,000$ | 5,213,694$ | No | 5,350,000$ | Lien | ||||||||
Paul Stastny | ![]() | C/LW | 36 | 1985-12-27 | No | 193 Lbs | 6 ft0 | Yes | No | No | 3 | Pro Only | 5,250,000$ | 5,116,242$ | 5,250,000$ | 5,116,242$ | 5,250,000$ | 5,116,242$ | No | 5,250,000$ | 5,250,000$ | Lien | |||||||
Phillip Danault | ![]() | C | 29 | 1993-02-24 | No | 200 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 3,083,333$ | 3,004,777$ | 3,083,333$ | 3,004,777$ | 3,083,333$ | 3,004,777$ | No | Lien | |||||||||
Radko Gudas | ![]() | D | 32 | 1990-06-05 | No | 208 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 2,500,000$ | 2,436,306$ | 2,500,000$ | 2,436,306$ | 2,500,000$ | 2,436,306$ | No | 2,500,000$ | Lien | ||||||||
Robert Thomas | ![]() | C/RW | 23 | 1999-07-02 | No | 188 Lbs | 6 ft0 | No | No | No | 4 | Pro & Farm | 2,800,000$ | 2,728,662$ | 2,800,000$ | 2,728,662$ | 2,800,000$ | 2,728,662$ | No | 2,800,000$ | 2,800,000$ | 2,800,000$ | Lien | ||||||
Ryan Carpenter | ![]() | C/RW | 31 | 1991-01-18 | No | 200 Lbs | 6 ft0 | Yes | No | No | 3 | Pro & Farm | 1,000,000$ | 974,522$ | 1,000,000$ | 974,522$ | 1,000,000$ | 974,522$ | No | 1,000,000$ | 1,000,000$ | Lien | |||||||
Samuel Girard | ![]() | D | 24 | 1998-05-12 | No | 170 Lbs | 5 ft10 | 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 |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 29.55 | 197 Lbs | 6 ft1 | 2.50 | 4,157,500$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
83,149,999$ | 66,650,000$ | 45,525,000$ | 6,025,000$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jeff Skinner | Mika Zibanejad | Robert Thomas | 35 | 1 | 2 | 2 |
2 | Paul Stastny | Jonathan Toews | Ivan Barbashev | 30 | 1 | 2 | 2 |
3 | Joel Farabee | Phillip Danault | Josh Bailey | 25 | 1 | 2 | 2 |
4 | Brian Boyle | Michael McLeod | Ryan Carpenter | 10 | 1 | 2 | 2 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brent Burns | Devon Toews | 38 | 1 | 2 | 2 | |
2 | Radko Gudas | Samuel Girard | 33 | 1 | 2 | 2 | |
3 | Marco Scandella | Dante Fabbro | 29 | 1 | 2 | 2 | |
4 | Brent Burns | Devon Toews | 0 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Jeff Skinner | Mika Zibanejad | Robert Thomas | 60 | 1 | 2 | 2 |
2 | Paul Stastny | Jonathan Toews | Phillip Danault | 40 | 1 | 2 | 2 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Brent Burns | Devon Toews | 60 | 1 | 2 | 2 | |
2 | Samuel Girard | Marco Scandella | 40 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Paul Stastny | Michael McLeod | 60 | 1 | 2 | 2 |
2 | Ryan Carpenter | Brian Boyle | 40 | 1 | 2 | 2 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Brent Burns | Devon Toews | 60 | 1 | 2 | 2 |
2 | Samuel Girard | Radko Gudas | 40 | 1 | 2 | 2 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Paul Stastny | 60 | 1 | 2 | 2 | Brent Burns | Devon Toews | 60 | 1 | 2 | 2 |
2 | Michael McLeod | 40 | 1 | 2 | 2 | Samuel Girard | Radko Gudas | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jonathan Toews | Jeff Skinner | 60 | 1 | 2 | 2 |
2 | Robert Thomas | Phillip Danault | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Brent Burns | Devon Toews | 60 | 1 | 2 | 2 |
2 | Samuel Girard | Radko Gudas | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Jeff Skinner | Jonathan Toews | Robert Thomas | Brent Burns | Devon Toews |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Phillip Danault | Jonathan Toews | Robert Thomas | Brent Burns | Devon Toews |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Jonathan Toews, Robert Thomas, Phillip Danault | Jonathan Toews, Robert Thomas | Phillip Danault |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Brent Burns, Devon Toews, Samuel Girard | Brent Burns | Devon Toews, Samuel Girard |
Tirs de pénalité |
---|
Jonathan Toews, Jeff Skinner, Devon Toews, Brent Burns, Phillip Danault |
Gardien |
---|
#1 : Anton Forsberg, #2 : Jake Allen |
Lignes d’attaque personnalisées en prolongation |
---|
Jonathan Toews, Jeff Skinner, Robert Thomas, Phillip Danault, Mika Zibanejad, Josh Bailey, Josh Bailey, Joel Farabee, Ryan Carpenter, Paul Stastny, Michael McLeod |
Lignes de défense personnalisées en prolongation |
---|
Brent Burns, Devon Toews, Samuel Girard, Marco Scandella, Radko Gudas |
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 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 1 | 1 | 2 | 0 | 27 | 10 | 13 | 4 | 0 | 14 | 3 | 2 | 21 | 12 | 2 | 16.67% | 1 | 0 | 100.00% | 0 | 31 | 59 | 52.54% | 26 | 55 | 47.27% | 17 | 35 | 48.57% | 24 | 17 | 22 | 7 | 12 | 6 |
2 | ![]() | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 22 | 6 | 9 | 7 | 0 | 29 | 10 | 10 | 16 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 31 | 59 | 52.54% | 26 | 55 | 47.27% | 17 | 35 | 48.57% | 21 | 14 | 25 | 7 | 12 | 6 |
Total | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 2 | 4 | 0 | 49 | 16 | 22 | 11 | 0 | 43 | 13 | 12 | 37 | 14 | 3 | 21.43% | 6 | 2 | 66.67% | 0 | 31 | 59 | 52.54% | 26 | 55 | 47.27% | 17 | 35 | 48.57% | 46 | 32 | 47 | 15 | 25 | 12 | |
_Since Last GM Reset | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 7 | 7 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 2 | 2 | 2 | 0.500 | 7 | 14 | 21 | 0 | 0 | 1 | 2 | 4 | 0 | 49 | 16 | 22 | 11 | 0 | 43 | 13 | 12 | 37 | 14 | 3 | 21.43% | 6 | 2 | 66.67% | 0 | 31 | 59 | 52.54% | 26 | 55 | 47.27% | 17 | 35 | 48.57% | 46 | 32 | 47 | 15 | 25 | 12 | |
_Vs Conference | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 0 | 1 | 2 | 0 | 22 | 6 | 9 | 7 | 0 | 29 | 10 | 10 | 16 | 2 | 1 | 50.00% | 5 | 2 | 60.00% | 0 | 31 | 59 | 52.54% | 26 | 55 | 47.27% | 17 | 35 | 48.57% | 21 | 14 | 25 | 7 | 12 | 6 |
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 | 2 | W1 | 7 | 14 | 21 | 49 | 43 | 13 | 12 | 37 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 7 | 7 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 0 | 1 | 0 | 0 | 0 | 0 | 3 | 5 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
1 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 2 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 1 | 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 |
---|---|---|---|---|---|---|
14 | 3 | 21.43% | 6 | 2 | 66.67% | 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 |
---|---|---|---|---|---|---|---|
16 | 22 | 11 | 0 | 1 | 2 | 4 | 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 |
31 | 59 | 52.54% | 26 | 55 | 47.27% | 17 | 35 | 48.57% |
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 |
46 | 32 | 47 | 15 | 25 | 12 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
3 - 2022-10-11 | 8 | ![]() | 5 | ![]() | 3 | BL | Sommaire du match | |||
4 - 2022-10-12 | 19 | ![]() | 4 | ![]() | 2 | AW | Sommaire du match | |||
7 - 2022-10-15 | 28 | ![]() | - | ![]() | - | |||||
9 - 2022-10-17 | 43 | ![]() | - | ![]() | - | |||||
10 - 2022-10-18 | 54 | ![]() | - | ![]() | - | |||||
12 - 2022-10-20 | 64 | ![]() | - | ![]() | - | |||||
13 - 2022-10-21 | 74 | ![]() | - | ![]() | - | |||||
14 - 2022-10-22 | 83 | ![]() | - | ![]() | - | |||||
16 - 2022-10-24 | 97 | ![]() | - | ![]() | - | |||||
19 - 2022-10-27 | 113 | ![]() | - | ![]() | - | |||||
21 - 2022-10-29 | 121 | ![]() | - | ![]() | - | |||||
22 - 2022-10-30 | 134 | ![]() | - | ![]() | - | |||||
23 - 2022-10-31 | 142 | ![]() | - | ![]() | - | |||||
25 - 2022-11-02 | 156 | ![]() | - | ![]() | - | |||||
26 - 2022-11-03 | 164 | ![]() | - | ![]() | - | |||||
28 - 2022-11-05 | 172 | ![]() | - | ![]() | - | |||||
30 - 2022-11-07 | 184 | ![]() | - | ![]() | - | |||||
32 - 2022-11-09 | 195 | ![]() | - | ![]() | - | |||||
34 - 2022-11-11 | 207 | ![]() | - | ![]() | - | |||||
35 - 2022-11-12 | 217 | ![]() | - | ![]() | - | |||||
37 - 2022-11-14 | 226 | ![]() | - | ![]() | - | |||||
39 - 2022-11-16 | 238 | ![]() | - | ![]() | - | |||||
41 - 2022-11-18 | 248 | ![]() | - | ![]() | - | |||||
43 - 2022-11-20 | 260 | ![]() | - | ![]() | - | |||||
44 - 2022-11-21 | 270 | ![]() | - | ![]() | - | |||||
46 - 2022-11-23 | 279 | ![]() | - | ![]() | - | |||||
48 - 2022-11-25 | 290 | ![]() | - | ![]() | - | |||||
50 - 2022-11-27 | 301 | ![]() | - | ![]() | - | |||||
51 - 2022-11-28 | 306 | ![]() | - | ![]() | - | |||||
54 - 2022-12-01 | 322 | ![]() | - | ![]() | - | |||||
55 - 2022-12-02 | 333 | ![]() | - | ![]() | - | |||||
57 - 2022-12-04 | 343 | ![]() | - | ![]() | - | |||||
61 - 2022-12-08 | 359 | ![]() | - | ![]() | - | |||||
62 - 2022-12-09 | 371 | ![]() | - | ![]() | - | |||||
64 - 2022-12-11 | 382 | ![]() | - | ![]() | - | |||||
65 - 2022-12-12 | 391 | ![]() | - | ![]() | - | |||||
68 - 2022-12-15 | 404 | ![]() | - | ![]() | - | |||||
69 - 2022-12-16 | 410 | ![]() | - | ![]() | - | |||||
71 - 2022-12-18 | 423 | ![]() | - | ![]() | - | |||||
72 - 2022-12-19 | 433 | ![]() | - | ![]() | - | |||||
73 - 2022-12-20 | 437 | ![]() | - | ![]() | - | |||||
76 - 2022-12-23 | 455 | ![]() | - | ![]() | - | |||||
77 - 2022-12-24 | 460 | ![]() | - | ![]() | - | |||||
79 - 2022-12-26 | 477 | ![]() | - | ![]() | - | |||||
81 - 2022-12-28 | 487 | ![]() | - | ![]() | - | |||||
83 - 2022-12-30 | 498 | ![]() | - | ![]() | - | |||||
84 - 2022-12-31 | 502 | ![]() | - | ![]() | - | |||||
87 - 2023-01-03 | 517 | ![]() | - | ![]() | - | |||||
88 - 2023-01-04 | 524 | ![]() | - | ![]() | - | |||||
91 - 2023-01-07 | 538 | ![]() | - | ![]() | - | |||||
92 - 2023-01-08 | 545 | ![]() | - | ![]() | - | |||||
94 - 2023-01-10 | 557 | ![]() | - | ![]() | - | |||||
95 - 2023-01-11 | 568 | ![]() | - | ![]() | - | |||||
97 - 2023-01-13 | 577 | ![]() | - | ![]() | - | |||||
98 - 2023-01-14 | 588 | ![]() | - | ![]() | - | |||||
100 - 2023-01-16 | 598 | ![]() | - | ![]() | - | |||||
101 - 2023-01-17 | 610 | ![]() | - | ![]() | - | |||||
103 - 2023-01-19 | 621 | ![]() | - | ![]() | - | |||||
104 - 2023-01-20 | 632 | ![]() | - | ![]() | - | |||||
107 - 2023-01-23 | 644 | ![]() | - | ![]() | - | |||||
109 - 2023-01-25 | 653 | ![]() | - | ![]() | - | |||||
110 - 2023-01-26 | 659 | ![]() | - | ![]() | - | |||||
112 - 2023-01-28 | 676 | ![]() | - | ![]() | - | |||||
113 - 2023-01-29 | 681 | ![]() | - | ![]() | - | |||||
116 - 2023-02-01 | 697 | ![]() | - | ![]() | - | |||||
117 - 2023-02-02 | 702 | ![]() | - | ![]() | - | |||||
120 - 2023-02-05 | 717 | ![]() | - | ![]() | - | |||||
121 - 2023-02-06 | 725 | ![]() | - | ![]() | - | |||||
122 - 2023-02-07 | 733 | ![]() | - | ![]() | - | |||||
124 - 2023-02-09 | 746 | ![]() | - | ![]() | - | |||||
125 - 2023-02-10 | 755 | ![]() | - | ![]() | - | |||||
128 - 2023-02-13 | 768 | ![]() | - | ![]() | - | |||||
130 - 2023-02-15 | 778 | ![]() | - | ![]() | - | |||||
133 - 2023-02-18 | 789 | ![]() | - | ![]() | - | |||||
Date limite d’échanges --- Les échanges ne peuvent plus se faire après la simulation de cette journée! | ||||||||||
136 - 2023-02-21 | 811 | ![]() | - | ![]() | - | |||||
138 - 2023-02-23 | 825 | ![]() | - | ![]() | - | |||||
140 - 2023-02-25 | 833 | ![]() | - | ![]() | - | |||||
143 - 2023-02-28 | 851 | ![]() | - | ![]() | - | |||||
146 - 2023-03-03 | 865 | ![]() | - | ![]() | - | |||||
147 - 2023-03-04 | 869 | ![]() | - | ![]() | - | |||||
153 - 2023-03-10 | 886 | ![]() | - | ![]() | - | |||||
154 - 2023-03-11 | 890 | ![]() | - | ![]() | - |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 6200 | 5200 | 2200 | 4052 | 1000 |
Prix des billets | 195 | 115 | 80 | 65 | 287 |
Assistance | 6,014 | 5,188 | 2,200 | 3,152 | 1,000 |
Attendance PCT | 97.00% | 99.77% | 100.00% | 77.79% | 100.00% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
40 | 17554 - 94.11% | 2,680,953$ | 2,680,953$ | 18652 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
2,207,644$ | 83,149,999$ | 83,149,999$ | 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 |
---|---|---|---|---|
83,149,999$ | 2,118,472$ | 0$ | 20 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
107,238,120$ | 153 | 551,911$ | 84,442,383$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
89,532,373$ | 20,470,652$ | 41,420,584$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
83,149,999$ | 1,850,001$ | 85,000,000$ | 23,149,999$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 |
Espoir | Nom de l’équipe | Année de repêchage | Choix total | Information | Lien |
---|---|---|---|---|---|
Adam Engstrom | ![]() | 2022 | 102 | ||
Aidan Hreschuk | ![]() | 2021 | 98 | ||
Aidan Thompson | ![]() | 2022 | 94 | ||
Blake McLaughlin | ![]() | 4 | 77 | ||
Brent Johnson | ![]() | 2021 | 76 | ||
Dylan James | ![]() | 2022 | 35 | ||
Elias Pettersson | ![]() | 2022 | 72 | ||
Jan Bednar | ![]() | 2020 | 49 | ||
Jayden Struble | ![]() | 2019 | 51 | ||
John Farinacci | ![]() | 2019 | 62 | ||
Jordan Gustafson | ![]() | 2022 | 74 | ||
Kaiden Guhle | ![]() | 2020 | 27 | ||
Kenny Connors | ![]() | 2022 | 101 | ||
Lane Hutson | ![]() | 2022 | 28 | ||
Luke Evangelista | ![]() | 2020 | 47 | ||
Rodion Amirov | ![]() | 2020 | 26 | ||
Ryan Ellis | ![]() | Lien | |||
Samuel Knazko | ![]() | 2020 | 71 | ||
Sean Farrell | ![]() | 2020 | 78 | ||
Thimo Nickl | ![]() | 2020 | 91 | ||
Topias Leinonen | ![]() | 2022 | 50 | ||
Tuukka Tieksola | ![]() | 2019 | 95 | ||
Tyson Foerster | ![]() | 2020 | 41 | ||
Vincent Iorio | ![]() | 2021 | 54 | ||
Will Cuylle | ![]() | 2020 | 37 | ||
William Stromgren | ![]() | 2021 | 40 | ||
Wyatt Johnston | ![]() | 2021 | 32 | ||
Zachary Bolduc | ![]() | 2021 | 17 |
Année | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|
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 |
# | 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 |
---|
# | Nom du gardien | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|