Day : 0 |
Day : 1 |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
(0-0-0) - N/A |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Dominik Cocozza |
|
|
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kaapo Kakko | X | 100.00 | 76 | 30 | 89 | 87 | 87 | 87 | 85 | 88 | 65 | 77 | 77 | 70 | 73 | 76 | 74 | 8 | 50 | 0 | 0 | 22 | 2 | 3,700,000$ | ||||
2 | Cole Perfetti (R) | X | X | 100.00 | 66 | 35 | 91 | 80 | 76 | 83 | 83 | 81 | 76 | 76 | 73 | 66 | 78 | 74 | 70 | 8 | 50 | 0 | 0 | 21 | 1 | 950,000$ | |||
3 | Dylan Gambrell | X | X | 100.00 | 85 | 40 | 83 | 84 | 83 | 84 | 85 | 83 | 75 | 77 | 76 | 74 | 72 | 86 | 89 | 6 | 50 | 0 | 0 | 27 | 5 | 3,400,000$ | |||
4 | Martin Necas | X | X | 100.00 | 68 | 33 | 89 | 85 | 81 | 87 | 87 | 84 | 76 | 77 | 76 | 68 | 74 | 81 | 79 | 8 | 50 | 0 | 0 | 24 | 2 | 3,750,000$ | |||
5 | Rhett Gardner | X | X | 100.00 | 89 | 43 | 81 | 77 | 86 | 80 | 78 | 79 | 74 | 74 | 72 | 77 | 69 | 78 | 77 | 5 | 50 | 0 | 0 | 27 | 3 | 2,000,000$ | |||
6 | Andrew Copp | X | X | 100.00 | 85 | 38 | 91 | 83 | 89 | 86 | 85 | 80 | 79 | 75 | 74 | 77 | 73 | 83 | 82 | 1 | 50 | 0 | 0 | 29 | 3 | 2,500,000$ | |||
7 | Jansen Harkins | X | X | X | 100.00 | 76 | 35 | 87 | 83 | 82 | 84 | 82 | 82 | 78 | 75 | 73 | 71 | 73 | 84 | 87 | 6 | 50 | 0 | 0 | 26 | 1 | 1,300,000$ | ||
8 | Rickard Rakell | X | X | X | 100.00 | 74 | 33 | 95 | 87 | 82 | 86 | 85 | 84 | 78 | 77 | 75 | 68 | 78 | 98 | 97 | 1 | 50 | 0 | 0 | 30 | 2 | 5,000,000$ | ||
9 | Angelo Miceli | X | X | 100.00 | 76 | 38 | 84 | 85 | 75 | 81 | 73 | 82 | 73 | 74 | 71 | 68 | 75 | 74 | 75 | 1 | 50 | 0 | 0 | 29 | 1 | 2,000,001$ | |||
10 | Kasperi Kapanen | X | X | 100.00 | 62 | 28 | 99 | 85 | 77 | 82 | 82 | 83 | 68 | 78 | 77 | 68 | 76 | 78 | 78 | 7 | 50 | 0 | 0 | 27 | 3 | 4,125,000$ | |||
11 | Roope Hintz | X | X | 100.00 | 80 | 38 | 86 | 82 | 87 | 85 | 87 | 84 | 71 | 77 | 74 | 68 | 73 | 80 | 78 | 6 | 50 | 0 | 0 | 27 | 2 | 2,750,000$ | |||
12 | K'Andre Miller | X | 100.00 | 85 | 40 | 84 | 83 | 84 | 83 | 83 | 79 | 50 | 74 | 63 | 87 | 60 | 76 | 81 | 7 | 50 | 0 | 0 | 23 | 1 | 950,000$ | ||||
13 | Jake Bean | X | 100.00 | 78 | 38 | 83 | 83 | 80 | 86 | 86 | 84 | 50 | 75 | 67 | 84 | 65 | 81 | 79 | 7 | 50 | 0 | 0 | 25 | 1 | 950,000$ | ||||
14 | Marcus Pettersson | X | 100.00 | 85 | 45 | 76 | 82 | 77 | 85 | 84 | 79 | 50 | 74 | 65 | 86 | 65 | 75 | 76 | 6 | 50 | 0 | 0 | 27 | 4 | 3,500,000$ | ||||
15 | Joe Morrow | X | 100.00 | 93 | 45 | 72 | 79 | 85 | 84 | 86 | 80 | 52 | 77 | 73 | 87 | 69 | 98 | 99 | 6 | 50 | 0 | 0 | 31 | 2 | 2,000,000$ | ||||
16 | David Musil | X | 100.00 | 95 | 48 | 72 | 77 | 88 | 84 | 79 | 79 | 50 | 76 | 71 | 96 | 60 | 96 | 97 | 7 | 50 | 0 | 0 | 30 | 4 | 5,800,000$ | ||||
17 | Ryan Sproul | X | 100.00 | 88 | 40 | 74 | 77 | 84 | 81 | 75 | 79 | 55 | 78 | 74 | 85 | 76 | 92 | 94 | 6 | 50 | 0 | 0 | 30 | 2 | 1,500,000$ | ||||
18 | Zachary Werenski (C) | X | 100.00 | 88 | 38 | 76 | 90 | 88 | 85 | 79 | 90 | 50 | 83 | 79 | 88 | 71 | 81 | 80 | 9 | 50 | 0 | 0 | 26 | 1 | 5,750,000$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Steven Fogarty | X | X | 100.00 | 81 | 42 | 85 | 78 | 84 | 83 | 77 | 77 | 76 | 72 | 71 | 69 | 72 | 84 | 88 | 1 | 50 | 0 | 0 | 30 | 1 | 1,900,000$ | |||
2 | Jordan Weal | X | X | X | 100.00 | 74 | 30 | 87 | 79 | 74 | 83 | 77 | 79 | 78 | 72 | 71 | 68 | 77 | 95 | 96 | 1 | 50 | 0 | 0 | 31 | 1 | 2,100,000$ | ||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Jimmy Vesey | X | X | 100.00 | 78 | 33 | 87 | 80 | 81 | 79 | 77 | 78 | 68 | 73 | 73 | 67 | 77 | 78 | 80 | 1 | 50 | 0 | 0 | 30 | 2 | 1,000,000$ | |||
2 | Mike Hardman (R) | X | X | 100.00 | 77 | 40 | 86 | 77 | 81 | 79 | 74 | 77 | 67 | 70 | 72 | 69 | 70 | 69 | 67 | 5 | 50 | 0 | 0 | 24 | 2 | 1,750,000$ | |||
3 | Dominic Toninato | X | X | X | 100.00 | 82 | 50 | 78 | 80 | 83 | 78 | 71 | 80 | 74 | 72 | 72 | 69 | 73 | 79 | 79 | 70 | 50 | 0 | 0 | 29 | 2 | 950,000$ | ||
4 | Jesper Frödén | X | 100.00 | 68 | 30 | 79 | 78 | 73 | 82 | 78 | 81 | 67 | 73 | 73 | 63 | 81 | 75 | 68 | 1 | 50 | 0 | 0 | 29 | 2 | 950,000$ | ||||
5 | Noah Cates (R) | X | 100.00 | 75 | 30 | 89 | 82 | 75 | 83 | 81 | 82 | 65 | 76 | 76 | 68 | 78 | 70 | 73 | 6 | 50 | 0 | 0 | 24 | 2 | 1,500,000$ | ||||
6 | Thomas Novak (R) | X | 100.00 | 61 | 33 | 93 | 81 | 76 | 84 | 84 | 80 | 75 | 74 | 72 | 67 | 73 | 74 | 76 | 6 | 50 | 0 | 0 | 26 | 3 | 1,000,000$ | ||||
7 | Max Willman | X | X | 100.00 | 75 | 35 | 82 | 82 | 78 | 81 | 81 | 80 | 76 | 76 | 75 | 68 | 76 | 75 | 77 | 6 | 50 | 0 | 0 | 28 | 2 | 1,950,000$ | |||
8 | Sheldon Rempal | X | X | 100.00 | 68 | 38 | 80 | 79 | 69 | 83 | 84 | 80 | 71 | 74 | 74 | 71 | 77 | 80 | 74 | 5 | 50 | 0 | 0 | 28 | 2 | 1,950,000$ | |||
9 | Gustav Nyquist | X | X | 100.00 | 49 | 25 | 99 | 81 | 73 | 76 | 80 | 81 | 60 | 72 | 73 | 63 | 84 | 93 | 90 | 70 | 50 | 0 | 0 | 34 | 1 | 950,000$ | |||
10 | Danick Martel | X | 100.00 | 71 | 35 | 88 | 82 | 75 | 80 | 81 | 80 | 66 | 72 | 72 | 68 | 75 | 74 | 78 | 70 | 50 | 0 | 0 | 29 | 3 | 1,000,000$ | ||||
11 | Adam Helewka | X | X | 100.00 | 91 | 38 | 78 | 80 | 85 | 86 | 83 | 81 | 62 | 75 | 75 | 69 | 75 | 78 | 78 | 6 | 50 | 0 | 0 | 28 | 2 | 1,700,000$ | |||
12 | Brad Morrison | X | 100.00 | 75 | 35 | 86 | 84 | 76 | 80 | 77 | 77 | 74 | 73 | 73 | 69 | 72 | 68 | 68 | 6 | 50 | 0 | 0 | 26 | 1 | 1,500,000$ | ||||
13 | Calen Addison (R) | X | 100.00 | 74 | 35 | 82 | 83 | 76 | 81 | 78 | 84 | 52 | 77 | 65 | 83 | 66 | 75 | 71 | 8 | 50 | 0 | 0 | 23 | 3 | 950,000$ | ||||
14 | Justin Barron (R) | X | 100.00 | 76 | 30 | 76 | 84 | 80 | 82 | 75 | 79 | 53 | 74 | 67 | 83 | 66 | 72 | 75 | 7 | 50 | 0 | 0 | 22 | 3 | 925,000$ | ||||
15 | Steven Kampfer | X | 100.00 | 68 | 35 | 92 | 80 | 78 | 73 | 74 | 80 | 50 | 74 | 72 | 80 | 72 | 98 | 99 | 70 | 50 | 0 | 0 | 35 | 2 | 950,000$ | ||||
16 | T.J. Brodie | X | 100.00 | 73 | 40 | 87 | 77 | 75 | 75 | 74 | 76 | 51 | 73 | 63 | 86 | 60 | 94 | 99 | 70 | 50 | 0 | 0 | 33 | 2 | 1,500,000$ | ||||
17 | Jan Rutta | X | 100.00 | 79 | 38 | 81 | 74 | 80 | 76 | 75 | 79 | 50 | 74 | 69 | 87 | 68 | 73 | 82 | 1 | 50 | 0 | 0 | 33 | 3 | 1,500,000$ | ||||
18 | David Savard | X | 100.00 | 79 | 38 | 81 | 76 | 78 | 77 | 75 | 80 | 50 | 76 | 63 | 88 | 65 | 96 | 99 | 1 | 50 | 0 | 0 | 33 | 2 | 1,300,000$ | ||||
19 | Carl Dahlstrom | X | 100.00 | 87 | 35 | 86 | 75 | 87 | 80 | 76 | 75 | 50 | 72 | 63 | 89 | 60 | 79 | 75 | 5 | 50 | 0 | 0 | 28 | 2 | 1,250,000$ | ||||
20 | Kyle Olson (R) | X | 100.00 | 74 | 49 | 77 | 77 | 72 | 80 | 66 | 78 | 66 | 72 | 70 | 68 | 71 | 68 | 78 | 5 | 50 | 0 | 0 | 24 | 1 | 800,000$ | ||||
21 | Alexander Barabanov | X | 100.00 | 63 | 28 | 98 | 85 | 78 | 83 | 84 | 78 | 66 | 73 | 74 | 68 | 77 | 73 | 71 | 1 | 50 | 0 | 0 | 29 | 1 | 950,000$ | ||||
22 | Dominik Simon | X | X | 100.00 | 65 | 27 | 87 | 85 | 73 | 78 | 75 | 81 | 72 | 72 | 71 | 66 | 72 | 78 | 79 | 70 | 50 | 0 | 0 | 29 | 3 | 950,000$ | |||
23 | Karl Alzner | X | 100.00 | 90 | 45 | 76 | 70 | 84 | 88 | 87 | 70 | 50 | 68 | 62 | 90 | 62 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 950,000$ | ||||
24 | Kyle Wood | X | 100.00 | 85 | 41 | 82 | 75 | 93 | 80 | 73 | 79 | 50 | 73 | 67 | 88 | 60 | 77 | 76 | 6 | 50 | 0 | 0 | 27 | 3 | 1,250,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 80 | 38 | 84 | 82 | 82 | 84 | 82 | 82 | 66 | 76 | 73 | 76 | 71 | 84 | 84 | 5 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du gardien | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Erik Källgren | 100.00 | 84 | 81 | 85 | 85 | 87 | 87 | 88 | 86 | 87 | 86 | 84 | 68 | 66 | 8 | 50 | 0 | 0 | 27 | 3 | 2,000,000$ | |
2 | Vitek Vanecek | 100.00 | 88 | 85 | 87 | 83 | 92 | 91 | 92 | 93 | 91 | 93 | 86 | 77 | 76 | 9 | 50 | 0 | 0 | 27 | 1 | 2,500,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Kirill Ustimenko (R) | 100.00 | 82 | 80 | 84 | 85 | 87 | 85 | 84 | 83 | 84 | 84 | 83 | 70 | 67 | 8 | 50 | 0 | 0 | 24 | 1 | 850,000$ | |
2 | Lars Volden | 100.00 | 85 | 82 | 83 | 88 | 87 | 85 | 86 | 86 | 87 | 86 | 86 | 64 | 64 | 6 | 50 | 0 | 0 | 31 | 1 | 750,000$ | |
3 | Hannibal Weitzmann | 100.00 | 84 | 78 | 82 | 80 | 82 | 78 | 77 | 77 | 79 | 79 | 80 | 57 | 56 | 2 | 50 | 0 | 0 | 28 | 2 | 775,000$ | |
MOYENNE D’ÉQUIPE | 100.00 | 86 | 83 | 86 | 84 | 90 | 89 | 90 | 90 | 89 | 90 | 85 | 73 | 71 | 9 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter DeBoer | 88 | 88 | 87 | 86 | 86 | 84 | 70 | CAN | 56 | 3 | 3,000,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | Nom de l’équipe | POS | GP | G | A | P | +/- | PIM | PIM5 | HIT | HTT | SHT | OSB | OSM | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PPM | PKG | PKA | PKP | PKS | PKM | GW | GT | FO% | FOT | GA | TA | EG | HT | P/20 | PSG | PSS | FW | FL | FT | S1 | S2 | S3 |
---|
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 |
---|
Nom du joueur | POS | Âge | Date de naissance | Termes | Contrat | Cap % | Année 2023 | Année 2024 | Année 2025 | Année 2026 | Année 2027 | Année 2028 | Année 2029 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Attaquant | |||||||||||||
Andrew Copp | C/LW | 29 | 1993-01-22 02:53:11 | TW | 3 | 2.87% | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA [Age: 32] | |||
Angelo Miceli | C/LW | 29 | 1993-01-22 06:32:10 | TW | 1 | 2.30% | 2,000,001$ | UFA [Age: 30] | |||||
Cole Perfetti | C/LW | 21 | 2001-01-02 21:36:42 | TW | 1 | 1.09% | 950,000$ | RFA ( Groupe: 1 )[Age: 22] | |||||
Dylan Gambrell | C/RW | 27 | 1995-01-02 00:34:29 | TW | 5 | 3.91% | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | 3,400,000$ | UFA [Age: 32] | |
Jansen Harkins | C/LW/RW | 26 | 1996-01-02 02:04:32 | TW | 1 | 1.49% | 1,300,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Jordan Weal | C/LW/RW | 31 | 1991-01-22 12:27:05 | TW | 1 | 2.41% | 2,100,000$ | UFA [Age: 32] | |||||
Kaapo Kakko | RW | 22 | 2000-01-22 03:05:09 | TW | 2 | 4.25% | 3,700,000$ | 3,700,000$ | RFA ( Groupe: 2 ) [Age: 24] | ||||
Kasperi Kapanen | LW/RW | 27 | 1995-01-22 04:55:38 | TW | 3 | 4.74% | 4,125,000$ | 4,125,000$ | 4,125,000$ | UFA [Age: 30] | |||
Martin Necas | C/RW | 24 | 1998-01-02 04:26:56 | TW | 2 | 4.31% | 3,750,000$ | 3,750,000$ | RFA ( Groupe: 2 ) [Age: 26] | ||||
Rhett Gardner | C/LW | 27 | 1995-01-02 00:30:54 | TW | 3 | 2.30% | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA [Age: 30] | |||
Rickard Rakell | C/LW/RW | 30 | 1992-01-22 11:45:18 | TW | 2 | 5.75% | 5,000,000$ | 5,000,000$ | UFA [Age: 32] | ||||
Roope Hintz | C/LW | 27 | 1995-01-22 10:42:47 | TW | 2 | 3.16% | 2,750,000$ | 2,750,000$ | UFA [Age: 29] | ||||
Steven Fogarty | C/RW | 30 | 1992-01-02 23:48:25 | TW | 1 | 2.18% | 1,900,000$ | UFA [Age: 31] | |||||
MOYENNE (13) | 26.92 | 40.78% | 35,475,001$ | 27,225,000$ | 12,025,000$ | 3,400,000$ | 3,400,000$ | 0$ | 0$ | ||||
Défenseur | |||||||||||||
David Musil | D | 30 | 1992-01-22 08:42:58 | TW | 4 | 6.67% | 5,800,000$ | 5,800,000$ | 5,800,000$ | 5,800,000$ | UFA [Age: 34] | ||
Jake Bean | D | 25 | 1997-01-02 03:58:18 | TW | 1 | 1.09% | 950,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Joe Morrow | D | 31 | 1991-01-22 08:22:49 | TW | 2 | 2.30% | 2,000,000$ | 2,000,000$ | UFA [Age: 33] | ||||
K'Andre Miller | D | 23 | 1999-01-02 22:56:56 | TW | 1 | 1.09% | 950,000$ | RFA ( Groupe: 2 ) [Age: 24] | |||||
Marcus Pettersson | D | 27 | 1995-01-20 07:37:36 | TW | 4 | 4.02% | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA [Age: 31] | ||
Ryan Sproul | D | 30 | 1992-01-22 04:03:39 | TW | 2 | 1.72% | 1,500,000$ | 1,500,000$ | UFA [Age: 32] | ||||
Zachary Werenski | D | 26 | 1996-01-22 03:49:12 | TW | 1 | 6.61% | 5,750,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
MOYENNE (7) | 27.43 | 23.51% | 20,450,000$ | 12,800,000$ | 9,300,000$ | 9,300,000$ | 0$ | 0$ | 0$ | ||||
Gardiens | |||||||||||||
Erik Källgren | G | 27 | 1995-01-02 12:21:39 | NT TW | 3 | 2.30% | 2,000,000$ | 2,000,000$ | 2,000,000$ | UFA [Age: 30] | |||
Vitek Vanecek | G | 27 | 1995-01-22 05:06:53 | TW | 1 | 2.87% | 2,500,000$ | UFA [Age: 28] | |||||
MOYENNE (2) | 27.00 | 5.17% | 4,500,000$ | 2,000,000$ | 2,000,000$ | 0$ | 0$ | 0$ | 0$ | ||||
Valeur du plafond salarial spécial | 4,500,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTALE (22) | 74.63% | 64,925,001$ | 42,025,000$ | 23,325,000$ | 12,700,000$ | 3,400,000$ | 0$ | 0$ |
Attaque à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | |||||
Perfetti
91
|
Rakell
0
|
Kakko
0
| |||||
Hintz
0
|
Necas
0
|
Kapanen
0
| |||||
Gardner
0
|
Copp
10
|
Gambrell
0
| |||||
Miceli
0
|
Harkins
58
|
Gambrell
0
|
Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Défense | Défense | ||||||
Werenski
3
|
Pettersson
0
| ||||||
Miller
0
|
Musil
0
| ||||||
Morrow
0
|
Bean
0
| ||||||
Miller
0
|
Sproul
0
|
Attaque en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | |||||
Kapanen
0
|
Necas
0
|
Kakko
0
| |||||
Perfetti
91
|
Rakell
0
|
Gambrell
0
|
Défense en avantage numérique | |||||||
---|---|---|---|---|---|---|---|
Défense | Défense | ||||||
Sproul
0
|
Werenski
3
| ||||||
Morrow
0
|
Miller
0
|
Attaque à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Centre | Ailier | |||||
Copp
10
|
Gardner
0
| |||||
Kakko
0
|
Gambrell
0
|
Défense à 4 en désavantage numérique | ||||||
---|---|---|---|---|---|---|
Défense | Défense | |||||
Miller
0
|
Musil
0
| |||||
Werenski
3
|
Bean
0
|
3 joueurs en désavantage numérique | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Ailier | Défense | Défense | |||||||||
Copp
10
|
Miller
0
|
Musil
0
| |||||||||
Gardner
0
|
Werenski
3
|
Bean
0
|
Attaque à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Centre | Ailier | |||||
Copp
10
|
Kakko
0
| |||||
Gambrell
0
|
Necas
0
|
Défense à 4 contre 4 | ||||||
---|---|---|---|---|---|---|
Défense | Défense | |||||
Pettersson
0
|
Musil
0
| |||||
Werenski
3
|
Bean
0
|
Attaque dernière minute | ||||
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Ailier gauche | Centre | Ailier droit | Défense | Défense |
Kasperi Kapanen | Martin Necas | Kaapo Kakko | Zachary Werenski | Ryan Sproul |
Défense dernière minute | ||||
---|---|---|---|---|
Ailier gauche | Centre | Ailier droit | Défense | Défense |
Rhett Gardner | Andrew Copp | Angelo Miceli | Zachary Werenski | David Musil |
Attaquants supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Kaapo Kakko, Andrew Copp, Martin Necas | Cole Perfetti, Kaapo Kakko | Jansen Harkins |
Défenseurs supplémentaires | ||
---|---|---|
Normal | Avantage numérique | Désavantage numérique |
Zachary Werenski, Joe Morrow, K'Andre Miller | David Musil | Ryan Sproul, Joe Morrow |
Tirs de pénalité |
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Kaapo Kakko, Martin Necas, Rhett Gardner, Cole Perfetti, Rickard Rakell |
Gardien |
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#1 : Vitek Vanecek, #2 : Erik Källgren |
Lignes d’attaque personnalisées en prolongation |
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Martin Necas, Kaapo Kakko, Rickard Rakell, Kasperi Kapanen, Dylan Gambrell, Cole Perfetti, Cole Perfetti, Roope Hintz, Angelo Miceli, Andrew Copp, Rhett Gardner |
Lignes de défense personnalisées en prolongation |
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Zachary Werenski, Ryan Sproul, K'Andre Miller, Joe Morrow, David Musil |
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 |
Total | Domicile | Visiteur | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Équipe | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total pour les joueurs | ||||||||||||
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Matchs joués | Points | Séquence | Buts | Passes | Points | Tirs pour | Tirs contre | Tirs bloqués | Minutes de pénalités | Mises en échec | Buts en filet désert | Blanchissages |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Tous les matchs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs locaux | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Matchs extérieurs | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Derniers 10 matchs | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 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 |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Tirs en 1e période | Tirs en 2e période | Tirs en 3e période | Tirs en 4e période | Buts en 1e période | Buts en 2e période | Buts en 3e période | Buts en 4e période |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Mises en jeu | ||||||||
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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 |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
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 |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Jour | Match | Équipe visiteuse | Score | Équipe locale | Score | ST | OT | SO | RI | Lien |
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Revenu | |||||
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Matchs à domicile restants | Assistance moyenne - % | Revenu moyen par match | Revenu annuel à ce jour | Capacité | Popularité de l’équipe |
Dépenses | ||||
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Dépenses annuelles à ce jour | Salaire total des joueurs | Salaire total moyen des joueurs | Salaire des entraineurs | Valeur du plafond salarial spécial |
Plafond salarial par jour | Plafond salarial à ce jour | Taxe de luxe totale | Joueurs Inclus dans le plafond salarial | Joueurs exclut du plafond Salarial |
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Estimation | |||
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Revenus de la saison estimés | Jours restants de la saison | Dépenses par jour | Dépenses de la saison estimées |
Total de l’équipe estimé | ||
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Dépenses de la saison estimées | Compte bancaire actuel | Compte bancaire projeté |
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 |
Année | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
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 |