![]() | Jets |
GP: 4 | W: 1 | L: 3 GF: 9 | GA: 9 | PP%: 18.18% | PK%: 94.12% DG: dispo | Morale : 50 | Moyenne d’équipe : N/A Prochains matchs #38 vs Stars |
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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 | Noah Cates (R) | 49 | X | X | 100.00 | 75 | 43 | 94 | 74 | 65 | 78 | 66 | 75 | 79 | 75 | 70 | 84 | 25 | 55 | 55 | 75 | 50 | 0 | 0 | 24 | 2 | 2,387,500$ | |||
2 | Auston Matthews | 34 | X | 100.00 | 76 | 45 | 91 | 92 | 82 | 85 | 91 | 91 | 93 | 86 | 95 | 68 | 70 | 71 | 73 | 87 | 50 | 0 | 0 | 25 | 1 | 11,634,000$ | ||||
3 | David Perron | 57 | X | X | 100.00 | 78 | 44 | 82 | 80 | 73 | 74 | 92 | 91 | 30 | 79 | 80 | 63 | 63 | 87 | 88 | 78 | 50 | 0 | 0 | 35 | 1 | 4,000,000$ | |||
4 | Jordan Eberle | 0 | X | 100.00 | 65 | 41 | 87 | 80 | 67 | 74 | 98 | 78 | 42 | 83 | 75 | 63 | 65 | 82 | 85 | 76 | 50 | 0 | N | 0 | 33 | 3 | 6,500,000$ | |||
5 | Jujhar Khaira | 16 | X | X | 100.00 | 86 | 86 | 82 | 78 | 82 | 67 | 59 | 68 | 69 | 63 | 62 | 83 | 25 | 65 | 66 | 69 | 50 | 0 | 0 | 29 | 2 | 1,200,000$ | |||
6 | Mark Scheifele (C) | 55 | X | 100.00 | 67 | 53 | 84 | 87 | 78 | 85 | 91 | 90 | 85 | 76 | 95 | 64 | 69 | 76 | 78 | 84 | 50 | 0 | 0 | 30 | 4 | 6,125,000$ | ||||
7 | Max Pacioretty (A) | 67 | X | 100.00 | 85 | 79 | 68 | 82 | 79 | 47 | 48 | 72 | 80 | 73 | 83 | 55 | 42 | 80 | 84 | 55 | 50 | 0 | 0 | 34 | 1 | 8,500,000$ | ||||
8 | Kyle Connor | 81 | X | 100.00 | 65 | 42 | 91 | 90 | 68 | 85 | 97 | 90 | 33 | 86 | 87 | 64 | 61 | 68 | 70 | 82 | 50 | 0 | 0 | 26 | 4 | 7,142,857$ | ||||
9 | Sam Gagner | 0 | X | X | 100.00 | 61 | 53 | 91 | 76 | 72 | 62 | 82 | 73 | 37 | 61 | 70 | 60 | 61 | 84 | 84 | 68 | 50 | 0 | N | 0 | 34 | 1 | 750,000$ | ||
10 | Artemi Panarin | 0 | X | 100.00 | 61 | 40 | 86 | 94 | 63 | 81 | 96 | 94 | 34 | 91 | 85 | 61 | 85 | 74 | 75 | 82 | 50 | 0 | 0 | 31 | 2 | 11,642,857$ | ||||
11 | Jason Dickinson | 68 | X | X | 100.00 | 79 | 44 | 88 | 85 | 75 | 73 | 87 | 66 | 78 | 72 | 62 | 86 | 25 | 68 | 68 | 73 | 50 | 0 | 0 | 28 | 3 | 2,650,000$ | |||
12 | Tyler Motte | 64 | X | X | 100.00 | 84 | 44 | 96 | 80 | 68 | 63 | 77 | 59 | 39 | 64 | 64 | 86 | 25 | 65 | 66 | 71 | 50 | 0 | 0 | 28 | 2 | 1,225,000$ | |||
13 | Cale Makar (A) | 8 | X | 100.00 | 76 | 43 | 85 | 95 | 67 | 96 | 86 | 95 | 25 | 81 | 67 | 86 | 63 | 64 | 67 | 80 | 50 | 0 | 0 | 24 | 2 | 9,000,000$ | ||||
14 | Christopher Tanev | 0 | X | 100.00 | 71 | 53 | 89 | 82 | 74 | 80 | 91 | 62 | 25 | 53 | 47 | 89 | 25 | 78 | 81 | 65 | 50 | 0 | 0 | 33 | 1 | 4,500,000$ | ||||
15 | Ilya Lyubushkin | 72 | X | 100.00 | 80 | 45 | 83 | 76 | 75 | 67 | 90 | 59 | 25 | 53 | 48 | 88 | 25 | 65 | 66 | 64 | 50 | 0 | 0 | 29 | 2 | 2,850,000$ | ||||
16 | Olli Maatta | 0 | X | 100.00 | 75 | 44 | 93 | 82 | 76 | 77 | 89 | 60 | 25 | 56 | 49 | 83 | 25 | 72 | 73 | 65 | 50 | 0 | N | 0 | 29 | 2 | 3,250,000$ | |||
17 | Robert Bortuzzo | 42 | X | 100.00 | 80 | 58 | 81 | 74 | 82 | 60 | 75 | 57 | 25 | 46 | 48 | 83 | 25 | 70 | 73 | 61 | 50 | 0 | 0 | 34 | 1 | 1,375,000$ | ||||
18 | Travis Sanheim | 6 | X | 100.00 | 71 | 43 | 85 | 82 | 70 | 81 | 98 | 64 | 25 | 54 | 50 | 85 | 25 | 68 | 68 | 65 | 50 | 0 | 0 | 27 | 3 | 4,675,000$ | ||||
Rayé | ||||||||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||||||||
1 | Felix Robert (R) | 0 | X | X | 100.00 | 70 | 64 | 85 | 64 | 64 | 72 | 75 | 62 | 78 | 56 | 64 | 62 | 61 | 44 | 44 | 64 | 50 | 0 | N | 0 | 24 | 1 | 950,000$ | ||
2 | Cole Smith (R) | 91 | X | X | 100.00 | 94 | 97 | 76 | 65 | 77 | 64 | 85 | 60 | 25 | 65 | 57 | 84 | 25 | 54 | 54 | 67 | 50 | 0 | 0 | 27 | 3 | 750,000$ | |||
3 | Tim Gettinger (R) | 0 | X | X | 100.00 | 83 | 83 | 84 | 66 | 83 | 67 | 69 | 62 | 50 | 60 | 60 | 68 | 57 | 44 | 44 | 64 | 50 | 0 | N | 0 | 25 | 1 | 750,000$ | ||
4 | Bobby McMann (R) | 0 | X | X | 100.00 | 78 | 75 | 84 | 60 | 75 | 67 | 68 | 66 | 50 | 54 | 74 | 67 | 70 | 44 | 44 | 69 | 50 | 0 | N | 0 | 27 | 1 | 762,500$ | ||
5 | Otto Koivula | 0 | X | X | X | 100.00 | 80 | 81 | 77 | 71 | 81 | 73 | 76 | 61 | 76 | 55 | 62 | 67 | 59 | 46 | 46 | 65 | 50 | 0 | N | 0 | 24 | 1 | 800,000$ | |
6 | Patrick Maroon | 0 | X | X | 100.00 | 87 | 99 | 50 | 72 | 89 | 56 | 98 | 61 | 30 | 60 | 57 | 60 | 25 | 78 | 86 | 62 | 50 | 0 | N | 0 | 35 | 1 | 1,000,000$ | ||
7 | Steven Lorentz | 0 | X | X | X | 100.00 | 82 | 45 | 93 | 73 | 73 | 62 | 91 | 62 | 71 | 60 | 64 | 81 | 25 | 62 | 63 | 70 | 50 | 0 | N | 0 | 27 | 1 | 1,050,000$ | |
8 | Tanner Jeannot | 84 | X | X | 100.00 | 99 | 99 | 62 | 81 | 80 | 67 | 96 | 61 | 39 | 63 | 58 | 80 | 25 | 61 | 62 | 69 | 50 | 0 | 0 | 26 | 2 | 3,300,000$ | |||
9 | Mathieu Olivier | 25 | X | 100.00 | 92 | 99 | 67 | 64 | 81 | 61 | 78 | 57 | 29 | 62 | 58 | 75 | 25 | 57 | 58 | 65 | 50 | 0 | 0 | 26 | 4 | 750,000$ | ||||
10 | Simon Ryfors (R) | 0 | X | X | X | 100.00 | 72 | 65 | 87 | 63 | 65 | 83 | 88 | 65 | 80 | 61 | 65 | 63 | 62 | 44 | 44 | 67 | 50 | 0 | N | 0 | 26 | 1 | 750,000$ | |
11 | Zachary Sanford | 0 | X | X | 100.00 | 76 | 44 | 91 | 77 | 78 | 65 | 88 | 68 | 32 | 56 | 64 | 71 | 25 | 66 | 68 | 68 | 50 | 0 | N | 0 | 28 | 1 | 850,000$ | ||
12 | Dryden Hunt | 29 | X | X | 100.00 | 92 | 79 | 81 | 72 | 71 | 51 | 89 | 60 | 34 | 50 | 58 | 61 | 41 | 65 | 66 | 62 | 50 | 0 | 0 | 27 | 3 | 762,500$ | |||
13 | Tucker Poolman | 37 | X | 100.00 | 81 | 73 | 81 | 78 | 73 | 45 | 47 | 53 | 59 | 45 | 45 | 76 | 37 | 60 | 61 | 51 | 50 | 0 | 0 | 30 | 2 | 3,500,000$ | ||||
14 | Matt Kiersted (R) | 73 | X | 100.00 | 69 | 42 | 90 | 71 | 67 | 53 | 87 | 58 | 25 | 51 | 48 | 67 | 25 | 45 | 45 | 59 | 50 | 0 | 0 | 25 | 1 | 1,350,000$ | ||||
15 | Scott Harrington | 0 | X | 100.00 | 76 | 44 | 92 | 70 | 75 | 70 | 71 | 59 | 25 | 52 | 50 | 80 | 25 | 64 | 64 | 62 | 50 | 0 | N | 0 | 30 | 1 | 750,000$ | |||
16 | Maxence Guenette (R) | 0 | X | 100.00 | 79 | 74 | 89 | 66 | 74 | 71 | 76 | 54 | 25 | 52 | 41 | 64 | 39 | 44 | 44 | 56 | 50 | 0 | N | 0 | 22 | 1 | 813,333$ | |||
17 | Ben Harpur | 71 | X | 100.00 | 80 | 77 | 85 | 65 | 86 | 64 | 61 | 55 | 25 | 50 | 47 | 71 | 25 | 64 | 65 | 58 | 50 | 0 | 0 | 28 | 1 | 750,000$ | ||||
18 | Dysin Mayo | 61 | X | 100.00 | 85 | 45 | 84 | 78 | 68 | 59 | 80 | 60 | 25 | 39 | 47 | 84 | 75 | 60 | 60 | 61 | 50 | 0 | 0 | 27 | 2 | 3,250,000$ | ||||
19 | Justin Richards (R) | 93 | X | X | 100.00 | 71 | 69 | 75 | 63 | 69 | 77 | 81 | 61 | 76 | 62 | 56 | 62 | 53 | 44 | 44 | 62 | 50 | 0 | 0 | 25 | 1 | 1,425,000$ | |||
20 | David Cotton | 83 | X | 100.00 | 80 | 75 | 92 | 65 | 75 | 53 | 54 | 50 | 63 | 47 | 48 | 64 | 46 | 44 | 44 | 56 | 50 | 0 | 0 | 26 | 1 | 1,350,000$ | ||||
21 | Kyle Olson | 33 | X | 100.00 | 66 | 64 | 72 | 63 | 64 | 55 | 58 | 47 | 50 | 44 | 44 | 56 | 42 | 44 | 44 | 51 | 50 | 0 | 0 | 24 | 1 | 950,000$ | ||||
22 | Jan Mysak (R) | 0 | X | X | 100.00 | 73 | 64 | 93 | 72 | 64 | 64 | 68 | 50 | 63 | 45 | 51 | 60 | 48 | 44 | 44 | 57 | 50 | 0 | 0 | 21 | 3 | 902,500$ | |||
23 | Scott Perunovich (R) | 48 | X | 100.00 | 67 | 61 | 82 | 78 | 61 | 53 | 52 | 57 | 25 | 58 | 42 | 59 | 40 | 44 | 45 | 56 | 50 | 0 | 0 | 25 | 2 | 2,175,000$ | ||||
24 | Ty Emberson (R) | 0 | X | 100.00 | 77 | 72 | 87 | 63 | 72 | 74 | 80 | 51 | 25 | 46 | 42 | 62 | 40 | 44 | 44 | 56 | 50 | 0 | N | 0 | 23 | 1 | 775,000$ | |||
25 | Shakir Mukhamadullin (R) | 0 | X | 100.00 | 74 | 69 | 87 | 68 | 69 | 49 | 48 | 57 | 25 | 57 | 42 | 62 | 40 | 44 | 44 | 55 | 50 | 0 | 0 | 20 | 3 | 1,294,167$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 74 | 50 | 86 | 83 | 73 | 74 | 84 | 75 | 47 | 70 | 69 | 75 | 45 | 72 | 73 | 72 | 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 | Laurent Brossoit | 0 | 100.00 | 68 | 51 | 52 | 81 | 76 | 61 | 86 | 66 | 76 | 68 | 56 | 58 | 58 | 69 | 50 | 0 | N | 0 | 30 | 3 | 3,325,000$ |
2 | Stuart Skinner (R) | 74 | 100.00 | 82 | 79 | 75 | 84 | 85 | 79 | 71 | 81 | 84 | 82 | 75 | 51 | 51 | 80 | 50 | 0 | 0 | 24 | 2 | 750,000$ | |
Rayé | ||||||||||||||||||||||||
Équipe Mineure | ||||||||||||||||||||||||
1 | Magnus Hellberg (R) | 0 | 100.00 | 60 | 58 | 56 | 83 | 65 | 54 | 69 | 61 | 65 | 60 | 75 | 46 | 46 | 62 | 50 | 0 | N | 0 | 32 | 1 | 750,000$ |
2 | Eric Comrie | 1 | 100.00 | 60 | 51 | 51 | 65 | 65 | 54 | 80 | 61 | 65 | 60 | 78 | 48 | 48 | 62 | 50 | 0 | N | 0 | 28 | 2 | 2,050,000$ |
3 | Olle Eriksson Ek (R) | 47 | 100.00 | 44 | 48 | 60 | 82 | 41 | 43 | 50 | 52 | 45 | 46 | 30 | 44 | 44 | 46 | 50 | 0 | 0 | 24 | 2 | 750,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 75 | 65 | 64 | 83 | 81 | 70 | 79 | 74 | 80 | 75 | 66 | 55 | 55 | 75 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Paul Maurice | 85 | 86 | 88 | 70 | 93 | 84 | 65 | CAN | 57 | 2 | 4,500,000$ |
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 | Mark Scheifele | ![]() | C | 4 | 2 | 3 | 5 | 2 | 6 | 0 | 2 | 8 | 17 | 4 | 17 | 11.76% | 1 | 69 | 17.45 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 44.68% | 94 | 0 | 0 | 0 | 0 | 1.43 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
2 | Kyle Connor | ![]() | LW | 4 | 2 | 3 | 5 | 2 | 2 | 0 | 1 | 6 | 11 | 5 | 15 | 18.18% | 1 | 72 | 18.08 | 1 | 0 | 1 | 3 | 10 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 30.00% | 10 | 0 | 0 | 0 | 0 | 1.38 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
3 | Auston Matthews | ![]() | C | 4 | 1 | 2 | 3 | -1 | 2 | 0 | 8 | 15 | 14 | 2 | 12 | 7.14% | 1 | 82 | 20.50 | 1 | 1 | 2 | 5 | 11 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 56.41% | 117 | 0 | 0 | 0 | 0 | 0.73 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
4 | Ilya Lyubushkin | ![]() | D | 4 | 0 | 3 | 3 | 1 | 0 | 0 | 10 | 4 | 1 | 2 | 3 | 0% | 10 | 76 | 19.03 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.79 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
5 | Artemi Panarin | ![]() | LW | 4 | 1 | 2 | 3 | -1 | 0 | 0 | 0 | 14 | 22 | 5 | 14 | 4.55% | 0 | 80 | 20.20 | 0 | 2 | 2 | 1 | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 8 | 0 | 0 | 0 | 0 | 0.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Jordan Eberle | ![]() | RW | 4 | 1 | 1 | 2 | 2 | 0 | 0 | 4 | 2 | 7 | 3 | 5 | 14.29% | 0 | 61 | 15.29 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 71.43% | 7 | 0 | 0 | 0 | 0 | 0.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 |
7 | Travis Sanheim | ![]() | D | 4 | 0 | 2 | 2 | 1 | 4 | 0 | 3 | 3 | 4 | 1 | 5 | 0% | 7 | 74 | 18.75 | 0 | 1 | 1 | 1 | 10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Cale Makar | ![]() | D | 4 | 1 | 0 | 1 | -1 | 4 | 0 | 20 | 6 | 8 | 3 | 2 | 12.50% | 3 | 102 | 25.70 | 0 | 0 | 0 | 2 | 12 | 0 | 0 | 0 | 0 | 14 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
9 | Jason Dickinson | ![]() | C/LW | 4 | 1 | 0 | 1 | 0 | 0 | 0 | 3 | 10 | 9 | 2 | 3 | 11.11% | 1 | 52 | 13.23 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 15 | 0 | 0 | 50.75% | 67 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Tyler Motte | ![]() | LW/RW | 4 | 0 | 1 | 1 | 0 | 2 | 0 | 2 | 1 | 4 | 1 | 5 | 0% | 1 | 49 | 12.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0% | 6 | 0 | 0 | 0 | 0 | 0.40 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
11 | Christopher Tanev | ![]() | D | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 5 | 3 | 5 | 0 | 2 | 0% | 13 | 89 | 22.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Noah Cates | ![]() | C/LW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 1 | 7 | 2 | 1 | 1 | 0% | 1 | 37 | 9.44 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 48.57% | 35 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
13 | David Perron | ![]() | LW/RW | 4 | 0 | 0 | 0 | -1 | 4 | 0 | 5 | 2 | 15 | 1 | 10 | 0% | 0 | 80 | 20.25 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 25.00% | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Jujhar Khaira | ![]() | C/LW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 3 | 1 | 4 | 0 | 1 | 0% | 1 | 32 | 8.11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 63.64% | 11 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Max Pacioretty | ![]() | LW | 4 | 0 | 0 | 0 | 0 | 4 | 0 | 5 | 1 | 8 | 0 | 7 | 0% | 0 | 45 | 11.30 | 0 | 0 | 0 | 1 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
16 | Olli Maatta | ![]() | D | 4 | 0 | 0 | 0 | -1 | 4 | 0 | 7 | 3 | 6 | 3 | 1 | 0% | 6 | 72 | 18.15 | 0 | 0 | 0 | 1 | 7 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
17 | Robert Bortuzzo | ![]() | D | 4 | 0 | 0 | 0 | -1 | 2 | 0 | 12 | 5 | 0 | 1 | 4 | 0% | 7 | 63 | 15.90 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 9 | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Sam Gagner | ![]() | C/RW | 4 | 0 | 0 | 0 | -2 | 0 | 0 | 0 | 0 | 6 | 0 | 4 | 0% | 0 | 25 | 6.31 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0% | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 72 | 9 | 17 | 26 | -5 | 36 | 0 | 91 | 91 | 143 | 34 | 111 | 6.29% | 53 | 1170 | 16.25 | 2 | 4 | 6 | 16 | 99 | 0 | 0 | 0 | 2 | 110 | 1 | 0 | 49.45% | 362 | 0 | 0 | 0 | 0 | 0.44 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
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 | Stuart Skinner | ![]() | 4 | 1 | 3 | 0 | 0.940 | 2.26 | 239 | 0 | 0 | 9 | 151 | 0 | 0 | 0 | 0 | 0 | 4 | 0 | 1 | 0 | 0 |
Statistiques d’équipe totales ou en moyenne | 4 | 1 | 3 | 0 | 0.940 | 2.26 | 239 | 0 | 0 | 9 | 151 | 0 | 0 | 0 | 0 | 4 | 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 joueur | Nom de l’équipe | POS | Âge | Date de naissance | Recrue | Poids | Taille | Non-échange | Disponible pour échange | Acquis Par | Date de la Dernière Transaction | Ballotage forcé | Waiver Possible | Contrat | Date du Signature du Contrat | Forcer UFA | Rappel d'urgence | Type | Salaire actuel | Salaire restant | Salaire moyen | Salaire moyen restant | Plafond salarial Non Activé | Plafond salarial restant | Exclus du plafond salarial | Salaire annuel 2 | Salaire annuel 3 | Salaire annuel 4 | Salaire annuel 5 | Salaire annuel 6 | Salaire annuel 7 | Salaire annuel 8 | Salaire annuel 9 | Salaire annuel 10 | Non-échange Année 2 | Non-échange Année 3 | Non-échange Année 4 | Non-échange Année 5 | Non-échange Année 6 | Non-échange Année 7 | Non-échange Année 8 | Non-échange Année 9 | Non-échange Année 10 | Lien |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Artemi Panarin | ![]() | LW | 31 | 1991-10-29 | No | 170 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 11,642,857$ | 4,989,796$ | 11,642,857$ | 4,989,796$ | 11,642,857$ | 4,989,796$ | No | 11,642,857$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Auston Matthews | ![]() | C | 25 | 1997-09-16 | No | 220 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 11,634,000$ | 4,986,000$ | 11,634,000$ | 4,986,000$ | 11,634,000$ | 4,986,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Cale Makar | ![]() | D | 24 | 1998-10-29 | No | 187 Lbs | 5 ft11 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 9,000,000$ | 3,857,143$ | 9,000,000$ | 3,857,143$ | 9,000,000$ | 3,857,143$ | No | 9,000,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Christopher Tanev | ![]() | D | 33 | 1989-12-20 | No | 197 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,500,000$ | 1,928,571$ | 4,500,000$ | 1,928,571$ | 4,500,000$ | 1,928,571$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
David Perron | ![]() | LW/RW | 35 | 1988-05-28 | No | 200 Lbs | 6 ft0 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,000,000$ | 1,714,286$ | 4,000,000$ | 1,714,286$ | 4,000,000$ | 1,714,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Ilya Lyubushkin | ![]() | D | 29 | 1994-04-06 | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,850,000$ | 1,221,429$ | 2,850,000$ | 1,221,429$ | 2,850,000$ | 1,221,429$ | No | 2,850,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Jason Dickinson | ![]() | C/LW | 28 | 1995-07-04 | No | 200 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 2,650,000$ | 1,135,714$ | 2,650,000$ | 1,135,714$ | 2,650,000$ | 1,135,714$ | No | 2,650,000$ | 2,650,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Jordan Eberle | ![]() | RW | 33 | 1990-05-15 | No | 187 Lbs | 5 ft11 | Yes | No | N/A | No | No | 3 | False | False | Pro & Farm | 6,500,000$ | 2,785,714$ | 6,500,000$ | 2,785,714$ | 6,500,000$ | 2,785,714$ | No | 6,500,000$ | 6,500,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | Lien | ||
Jujhar Khaira | ![]() | C/LW | 29 | 1994-08-13 | No | 212 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,200,000$ | 514,286$ | 1,200,000$ | 514,286$ | 1,200,000$ | 514,286$ | No | 1,200,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Kyle Connor | ![]() | LW | 26 | 1996-12-09 | No | 182 Lbs | 6 ft1 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 7,142,857$ | 3,061,224$ | 7,142,857$ | 3,061,224$ | 7,142,857$ | 3,061,224$ | No | 7,142,857$ | 7,142,857$ | 7,142,857$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||
Laurent Brossoit | ![]() | G | 30 | 1993-03-22 | No | 204 Lbs | 6 ft3 | Yes | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,325,000$ | 1,425,000$ | 3,325,000$ | 1,425,000$ | 3,325,000$ | 1,425,000$ | No | 3,325,000$ | 3,325,000$ | - | - | - | - | - | - | - | Yes | Yes | - | - | - | - | - | - | - | Lien | ||
Mark Scheifele | ![]() | C | 30 | 1993-03-14 | No | 207 Lbs | 6 ft3 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 6,125,000$ | 2,625,000$ | 6,125,000$ | 2,625,000$ | 6,125,000$ | 2,625,000$ | No | 6,125,000$ | 6,125,000$ | 6,125,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | Lien | ||
Max Pacioretty | ![]() | LW | 34 | 1988-11-20 | No | 215 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 8,500,000$ | 3,642,857$ | 8,500,000$ | 3,642,857$ | 8,500,000$ | 3,642,857$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Noah Cates | ![]() | C/LW | 24 | 1999-02-05 | Yes | 170 Lbs | 6 ft1 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 2,387,500$ | 1,023,214$ | 2,387,500$ | 1,023,214$ | 2,387,500$ | 1,023,214$ | No | 2,387,500$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Olli Maatta | ![]() | D | 29 | 1994-08-22 | No | 206 Lbs | 6 ft2 | Yes | No | N/A | No | No | 2 | False | False | Pro & Farm | 3,250,000$ | 1,392,857$ | 3,250,000$ | 1,392,857$ | 3,250,000$ | 1,392,857$ | No | 3,250,000$ | - | - | - | - | - | - | - | - | Yes | - | - | - | - | - | - | - | - | Lien | ||
Robert Bortuzzo | ![]() | D | 34 | 1989-03-18 | No | 216 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,375,000$ | 589,286$ | 1,375,000$ | 589,286$ | 1,375,000$ | 589,286$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Sam Gagner | ![]() | C/RW | 34 | 1989-08-10 | No | 200 Lbs | 5 ft11 | Yes | No | N/A | No | No | 1 | False | False | Pro & Farm | 750,000$ | 321,429$ | 750,000$ | 321,429$ | 750,000$ | 321,429$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | Lien | ||
Stuart Skinner | ![]() | G | 24 | 1998-11-01 | Yes | 207 Lbs | 6 ft4 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 750,000$ | 321,429$ | 750,000$ | 321,429$ | 750,000$ | 321,429$ | No | 750,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien | ||
Travis Sanheim | ![]() | D | 27 | 1996-03-28 | No | 181 Lbs | 6 ft3 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,675,000$ | 2,003,571$ | 4,675,000$ | 2,003,571$ | 4,675,000$ | 2,003,571$ | No | 4,675,000$ | 4,675,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | Lien | ||
Tyler Motte | ![]() | LW/RW | 28 | 1995-03-10 | No | 192 Lbs | 5 ft10 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 1,225,000$ | 525,000$ | 1,225,000$ | 525,000$ | 1,225,000$ | 525,000$ | No | 1,225,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | Lien |
Nombre de joueurs | Âge moyen | Poids moyen | Taille moyenne | Contrat moyen | Salaire moyen 1e année |
---|---|---|---|---|---|
20 | 29.35 | 198 Lbs | 6 ft2 | 2.10 | 4,674,111$ |
Somme salaire 1e année | Somme salaire 2e année | Somme salaire 3e année | Somme salaire 4e année | Somme salaire 5e année |
---|---|---|---|---|
93,482,214$ | 62,723,214$ | 30,417,857$ | 13,267,857$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Auston Matthews | David Perron | 45 | 0 | 1 | 4 |
2 | Kyle Connor | Mark Scheifele | Jordan Eberle | 35 | 0 | 1 | 4 |
3 | Max Pacioretty | Jason Dickinson | Tyler Motte | 15 | 0 | 3 | 2 |
4 | Jujhar Khaira | Noah Cates | Sam Gagner | 5 | 0 | 4 | 1 |
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Christopher Tanev | Cale Makar | 45 | 0 | 2 | 3 | |
2 | Travis Sanheim | Ilya Lyubushkin | 30 | 0 | 3 | 2 | |
3 | Robert Bortuzzo | Olli Maatta | 25 | 0 | 3 | 2 | |
4 | Travis Sanheim | Olli Maatta | 0 | 1 | 2 | 2 |
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Ailier gauche | Centre | Ailier droit | % temps | PHY | DF | OF |
1 | Artemi Panarin | Auston Matthews | Kyle Connor | 60 | 0 | 0 | 5 |
2 | Max Pacioretty | Mark Scheifele | David Perron | 40 | 0 | 0 | 5 |
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF | |
1 | Travis Sanheim | Cale Makar | 90 | 1 | 2 | 2 | |
2 | Ilya Lyubushkin | Olli Maatta | 10 | 1 | 2 | 2 |
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Jason Dickinson | Tyler Motte | 60 | 0 | 4 | 1 |
2 | Jujhar Khaira | Noah Cates | 40 | 0 | 4 | 1 |
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Robert Bortuzzo | Ilya Lyubushkin | 70 | 0 | 4 | 1 |
2 | Cale Makar | Christopher Tanev | 30 | 0 | 4 | 1 |
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ligne # | Ailier | % temps | PHY | DF | OF | Défense | Défense | % temps | PHY | DF | OF |
1 | Jason Dickinson | 60 | 1 | 2 | 2 | Robert Bortuzzo | Cale Makar | 60 | 1 | 2 | 2 |
2 | Noah Cates | 40 | 1 | 2 | 2 | Travis Sanheim | Christopher Tanev | 40 | 1 | 2 | 2 |
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Centre | Ailier | % temps | PHY | DF | OF |
1 | Auston Matthews | Artemi Panarin | 60 | 1 | 2 | 2 |
2 | Mark Scheifele | Kyle Connor | 40 | 1 | 2 | 2 |
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Ligne # | Défense | Défense | % temps | PHY | DF | OF |
1 | Cale Makar | Travis Sanheim | 60 | 1 | 2 | 2 |
2 | Olli Maatta | Ilya Lyubushkin | 40 | 1 | 2 | 2 |
Attaque dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Auston Matthews | David Perron | Olli Maatta | Cale Makar |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Artemi Panarin | Auston Matthews | David Perron | Christopher Tanev | Cale Makar |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Max Pacioretty, Jason Dickinson, Noah Cates | Max Pacioretty, Jason Dickinson | Noah Cates |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Robert Bortuzzo, Cale Makar, Christopher Tanev | Robert Bortuzzo | Olli Maatta, Christopher Tanev |
Tirs de pénalité |
---|
Auston Matthews, Artemi Panarin, Mark Scheifele, Kyle Connor, David Perron |
Gardien |
---|
#1 : Stuart Skinner, #2 : Laurent Brossoit |
Lignes d’attaque personnalisées en prolongation |
---|
Auston Matthews, Artemi Panarin, Mark Scheifele, Kyle Connor, David Perron, Jordan Eberle, Jordan Eberle, Max Pacioretty, Jason Dickinson, Noah Cates, Tyler Motte |
Lignes de défense personnalisées en prolongation |
---|
Travis Sanheim, Olli Maatta, Christopher Tanev, Ilya Lyubushkin, Robert Bortuzzo |
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 | ![]() | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.250 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 143 | 47 | 47 | 49 | 0 | 151 | 53 | 36 | 91 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 72 | 157 | 45.86% | 83 | 156 | 53.21% | 24 | 49 | 48.98% | 92 | 64 | 99 | 29 | 47 | 24 |
Total | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.250 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 143 | 47 | 47 | 49 | 0 | 151 | 53 | 36 | 91 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 72 | 157 | 45.86% | 83 | 156 | 53.21% | 24 | 49 | 48.98% | 92 | 64 | 99 | 29 | 47 | 24 | |
_Since Last GM Reset | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.250 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 143 | 47 | 47 | 49 | 0 | 151 | 53 | 36 | 91 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 72 | 157 | 45.86% | 83 | 156 | 53.21% | 24 | 49 | 48.98% | 92 | 64 | 99 | 29 | 47 | 24 | |
_Vs Conference | 4 | 1 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 9 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 2 | 0.250 | 9 | 17 | 26 | 0 | 0 | 4 | 2 | 3 | 0 | 143 | 47 | 47 | 49 | 0 | 151 | 53 | 36 | 91 | 11 | 2 | 18.18% | 17 | 1 | 94.12% | 0 | 72 | 157 | 45.86% | 83 | 156 | 53.21% | 24 | 49 | 48.98% | 92 | 64 | 99 | 29 | 47 | 24 |
Total pour les joueurs | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
4 | 2 | W1 | 9 | 17 | 26 | 143 | 151 | 53 | 36 | 91 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 1 | 3 | 0 | 0 | 0 | 0 | 9 | 9 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 3 | 6 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 1 | 1 | 0 | 0 | 0 | 0 | 6 | 3 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 3 | 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 |
---|---|---|---|---|---|---|
11 | 2 | 18.18% | 17 | 1 | 94.12% | 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 |
---|---|---|---|---|---|---|---|
47 | 47 | 49 | 0 | 4 | 2 | 3 | 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 |
72 | 157 | 45.86% | 83 | 156 | 53.21% | 24 | 49 | 48.98% |
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 |
92 | 64 | 99 | 29 | 47 | 24 |
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 | 6 | ![]() | 2 | ![]() | 1 | L | Sommaire du match | |||
4 | 14 | ![]() | 4 | ![]() | 2 | L | Sommaire du match | |||
6 | 22 | ![]() | 1 | ![]() | 2 | L | Sommaire du match | |||
8 | 30 | ![]() | 5 | ![]() | 1 | W | Sommaire du match | |||
10 | 38 | ![]() | - | ![]() | - | |||||
12 | 46 | ![]() | - | ![]() | - | |||||
14 | 54 | ![]() | - | ![]() | - |
Capacité de l’aréna - Tendance du prix des billets - % | |||||
---|---|---|---|---|---|
Niveau 1 | Niveau 2 | Niveau 3 | Niveau 4 | Luxe | |
Capacité | 5100 | 4100 | 2100 | 3021 | 1000 |
Prix des billets | 350 | 300 | 250 | 100 | 500 |
Assistance | 7,348 | 5,379 | 2,418 | 5,020 | 1,452 |
Attendance PCT | 72.04% | 65.60% | 57.57% | 83.09% | 72.60% |
Revenu | |||||
---|---|---|---|---|---|
Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
39 | 10809 - 70.55% | 4,483,410$ | 8,966,820$ | 15321 | 100 |
Dépenses | ||||
---|---|---|---|---|
Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
0$ | 93,482,214$ | 93,482,214$ | 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 |
---|---|---|---|---|
0$ | 0$ | 0$ | 20 | 0 |
Estimation | |||
---|---|---|---|
Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
0$ | 6 | 0$ | 0$ |
Total de l’équipe estimé | ||
---|---|---|
Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
0$ | 117,298,507$ | 117,298,507$ |
Cap Salarial de la Saison estimé | Plafond salarial disponible | Plafond salarial maximum | Au dessus du plancher salarial |
---|---|---|---|
0$ | 93,500,000$ | 93,500,000$ | -70,000,000$ |
Ailier gauche | Centre | Ailier droit | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Défense #1 | Défense #2 | Gardien | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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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 | Date de la Dernière Transaction | Lien |
---|---|---|---|---|---|---|
Bryce McConnell-Barker | ![]() | 2022 | 90 | |||
Bulat Shafigullin | ![]() | 2018 | 105 | |||
Dylan MacKinnon | ![]() | 2023 | 96 | |||
Jack Phelan | ![]() | 2023 | 108 | |||
Jakub Malek | ![]() | 2021 | 105 | |||
Joel Blomqvist | ![]() | 2020 | 63 | |||
Noah Dower Nilsson | ![]() | 2023 | 69 | |||
Parker Foo | ![]() | 2017 | 101 | |||
Patrik Hamrla | ![]() | 2021 | 84 | |||
Pavel Kraskovsky | ![]() | 0 | 0 | |||
Quinn Finley | ![]() | 2022 | 87 | |||
Talyn Boyko | ![]() | 2021 | 106 |
Année | R1 | R2 | R3 | R4 | R5 |
---|---|---|---|---|---|
2024 | ![]() ![]() | ||||
2025 | ![]() | ![]() | ![]() | ||
2026 | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() |
Choix au repêchage conditionnel |
# | 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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