Day : 0 |
Day : 1 |
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GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% DG: Tony Roy |
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Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | Nom du joueur | C | L | R | D | CON | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Âge | Contrat | Salaire moyen |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Kiefer Sherwood | X | X | X | 100.00 | 83 | 35 | 85 | 80 | 86 | 88 | 88 | 79 | 76 | 75 | 73 | 75 | 71 | 86 | 84 | 1 | 50 | 0 | 0 | 30 | 1 | 1,400,000$ | ||
2 | Jakub Voracek | X | X | 100.00 | 64 | 30 | 98 | 79 | 79 | 85 | 85 | 82 | 65 | 75 | 75 | 66 | 82 | 96 | 95 | 1 | 50 | 0 | 0 | 36 | 1 | 2,500,000$ | |||
3 | Brendan Lemieux | X | 100.00 | 97 | 47 | 77 | 83 | 95 | 87 | 87 | 81 | 70 | 77 | 76 | 72 | 74 | 86 | 84 | 1 | 50 | 0 | 0 | 29 | 4 | 4,700,000$ | ||||
4 | Magnus Paajarvi | X | X | 100.00 | 62 | 33 | 98 | 76 | 85 | 90 | 91 | 80 | 63 | 74 | 74 | 65 | 77 | 90 | 90 | 1 | 50 | 0 | 0 | 34 | 0 | 0$ | |||
5 | Nicolas Roy | X | 100.00 | 82 | 35 | 88 | 82 | 90 | 92 | 92 | 84 | 78 | 78 | 76 | 73 | 72 | 86 | 90 | 1 | 50 | 0 | 0 | 28 | 2 | 2,400,000$ | ||||
6 | Michael McCarron | X | X | 100.00 | 95 | 47 | 78 | 76 | 92 | 81 | 80 | 77 | 75 | 75 | 75 | 75 | 72 | 86 | 85 | 1 | 50 | 0 | 0 | 30 | 2 | 2,860,000$ | |||
7 | Ryan Johansen | X | 100.00 | 78 | 40 | 85 | 81 | 79 | 81 | 80 | 85 | 80 | 78 | 77 | 65 | 84 | 93 | 91 | 1 | 50 | 0 | 0 | 33 | 0 | 0$ | ||||
8 | Joseph Blandisi | X | X | 100.00 | 89 | 45 | 81 | 78 | 86 | 80 | 79 | 78 | 72 | 74 | 74 | 71 | 73 | 87 | 88 | 1 | 50 | 0 | 0 | 31 | 2 | 1,100,000$ | |||
9 | Émile Poirier | X | X | 100.00 | 92 | 35 | 81 | 86 | 84 | 87 | 89 | 85 | 62 | 80 | 78 | 67 | 79 | 91 | 90 | 1 | 50 | 0 | 0 | 31 | 1 | 6,250,000$ | |||
10 | Carter Verhaeghe | X | X | X | 100.00 | 75 | 35 | 81 | 82 | 82 | 82 | 78 | 83 | 75 | 76 | 75 | 69 | 73 | 85 | 94 | 1 | 50 | 0 | 0 | 30 | 0 | 0$ | ||
11 | Jake DeBrusk (C) | X | X | 100.00 | 75 | 30 | 95 | 89 | 82 | 86 | 84 | 88 | 63 | 81 | 79 | 68 | 74 | 87 | 85 | 1 | 50 | 0 | 0 | 29 | 2 | 5,000,000$ | |||
12 | Andreas Englund | X | 100.00 | 90 | 42 | 79 | 81 | 83 | 79 | 78 | 82 | 52 | 77 | 69 | 89 | 64 | 86 | 83 | 6 | 50 | 0 | 0 | 29 | 1 | 4,000,000$ | ||||
13 | Vyacheslav Voynov (A) | X | 100.00 | 91 | 45 | 75 | 79 | 78 | 79 | 79 | 81 | 50 | 79 | 76 | 87 | 65 | 94 | 91 | 1 | 50 | 0 | 0 | 35 | 1 | 7,000,000$ | ||||
14 | Dillon Heatherington | X | 100.00 | 93 | 38 | 79 | 79 | 86 | 86 | 81 | 80 | 51 | 77 | 72 | 92 | 60 | 93 | 96 | 1 | 50 | 0 | 0 | 30 | 1 | 3,900,000$ | ||||
15 | Connor Carrick | X | 100.00 | 88 | 39 | 77 | 83 | 80 | 83 | 83 | 84 | 53 | 78 | 75 | 85 | 71 | 93 | 94 | 1 | 50 | 0 | 0 | 31 | 0 | 0$ | ||||
Rayé | |||||||||||||||||||||||||||||
1 | Sheldon Dries | X | X | X | 100.00 | 78 | 35 | 79 | 81 | 81 | 82 | 84 | 80 | 79 | 75 | 74 | 67 | 76 | 89 | 88 | 1 | 50 | 0 | 0 | 31 | 0 | 0$ | ||
2 | Brady Skjei (A) | X | 100.00 | 87 | 35 | 78 | 82 | 86 | 86 | 82 | 83 | 52 | 81 | 71 | 90 | 68 | 96 | 96 | 1 | 50 | 0 | 0 | 31 | 4 | 6,500,000$ | ||||
Équipe Mineure | |||||||||||||||||||||||||||||
1 | Josh Williams (R) | X | 100.00 | 71 | 45 | 85 | 78 | 79 | 81 | 80 | 76 | 65 | 72 | 71 | 65 | 73 | 69 | 67 | 5 | 50 | 0 | 0 | 24 | 2 | 800,000$ | ||||
2 | Conor Sheary | X | X | 100.00 | 62 | 25 | 97 | 82 | 75 | 81 | 81 | 80 | 71 | 73 | 72 | 67 | 79 | 91 | 90 | 1 | 50 | 0 | 0 | 33 | 1 | 1,000,000$ | |||
3 | Taylor Ward | X | 100.00 | 80 | 55 | 80 | 78 | 84 | 81 | 83 | 77 | 71 | 72 | 72 | 64 | 77 | 75 | 77 | 4 | 50 | 0 | 0 | 27 | 1 | 1,200,000$ | ||||
4 | Florian Elias (R) | X | 100.00 | 64 | 40 | 90 | 77 | 73 | 83 | 81 | 76 | 74 | 73 | 70 | 65 | 73 | 69 | 68 | 5 | 50 | 0 | 0 | 23 | 0 | 0$ | ||||
5 | Elliot Desnoyers (R) | X | 100.00 | 76 | 25 | 80 | 77 | 82 | 82 | 81 | 76 | 63 | 71 | 71 | 66 | 76 | 72 | 67 | 5 | 50 | 0 | 0 | 23 | 2 | 850,000$ | ||||
6 | Ilya Usov (R) | X | 100.00 | 79 | 40 | 87 | 80 | 81 | 83 | 86 | 80 | 75 | 74 | 73 | 68 | 75 | 72 | 70 | 6 | 50 | 0 | 0 | 24 | 2 | 800,000$ | ||||
7 | Brayden Tracey (R) | X | X | 100.00 | 77 | 25 | 78 | 80 | 76 | 78 | 83 | 80 | 68 | 74 | 72 | 65 | 77 | 78 | 80 | 5 | 50 | 0 | 0 | 24 | 2 | 850,000$ | |||
8 | Kai Uchacz (R) | X | 100.00 | 77 | 30 | 78 | 76 | 82 | 77 | 79 | 75 | 73 | 71 | 71 | 65 | 72 | 67 | 67 | 6 | 50 | 0 | 0 | 22 | 2 | 850,000$ | ||||
9 | Daniil Zharkov | X | 100.00 | 78 | 35 | 87 | 79 | 82 | 83 | 82 | 81 | 60 | 72 | 72 | 67 | 77 | 87 | 85 | 1 | 50 | 0 | 0 | 31 | 0 | 0$ | ||||
10 | Matt Schmalz | X | X | 100.00 | 87 | 45 | 78 | 73 | 81 | 76 | 68 | 72 | 74 | 70 | 68 | 66 | 67 | 67 | 66 | 1 | 50 | 0 | 0 | 29 | 1 | 850,000$ | |||
11 | Reilly Smith | X | X | 100.00 | 77 | 35 | 90 | 74 | 79 | 80 | 76 | 76 | 67 | 72 | 73 | 67 | 78 | 97 | 97 | 1 | 50 | 0 | 0 | 34 | 0 | 0$ | |||
12 | Kevin Roy | X | X | 100.00 | 54 | 22 | 99 | 79 | 70 | 80 | 78 | 83 | 63 | 72 | 72 | 65 | 81 | 74 | 75 | 1 | 50 | 0 | 0 | 32 | 1 | 950,000$ | |||
13 | Skyler McKenzie | X | 100.00 | 66 | 35 | 88 | 85 | 75 | 83 | 79 | 78 | 65 | 73 | 73 | 69 | 73 | 71 | 70 | 5 | 50 | 0 | 0 | 27 | 1 | 1,600,000$ | ||||
14 | Nick Baptiste | X | 100.00 | 81 | 35 | 90 | 80 | 87 | 84 | 81 | 80 | 68 | 73 | 73 | 68 | 74 | 76 | 75 | 1 | 50 | 0 | 0 | 30 | 1 | 850,000$ | ||||
15 | Jonathon Blum | X | 100.00 | 74 | 37 | 91 | 76 | 76 | 75 | 75 | 75 | 50 | 75 | 71 | 87 | 75 | 90 | 91 | 1 | 50 | 0 | 0 | 36 | 0 | 0$ | ||||
16 | Sam Jardine | X | 100.00 | 90 | 38 | 77 | 75 | 80 | 81 | 79 | 77 | 50 | 75 | 70 | 88 | 62 | 89 | 88 | 1 | 50 | 0 | 0 | 32 | 0 | 0$ | ||||
17 | Marcus Björk | X | 100.00 | 84 | 35 | 77 | 79 | 85 | 85 | 78 | 78 | 53 | 74 | 70 | 86 | 62 | 77 | 77 | 5 | 50 | 0 | 0 | 28 | 1 | 1,500,000$ | ||||
18 | Dylan Olsen | X | 100.00 | 86 | 45 | 78 | 77 | 79 | 79 | 77 | 77 | 50 | 72 | 71 | 86 | 75 | 90 | 90 | 1 | 50 | 0 | 0 | 34 | 1 | 1,100,000$ | ||||
19 | Matthew Finn | X | 100.00 | 85 | 40 | 80 | 78 | 80 | 81 | 74 | 76 | 50 | 73 | 68 | 86 | 63 | 92 | 90 | 1 | 50 | 0 | 0 | 31 | 0 | 0$ | ||||
20 | Tyler Cuma | X | 100.00 | 83 | 35 | 80 | 73 | 76 | 75 | 73 | 77 | 51 | 74 | 71 | 88 | 60 | 91 | 91 | 1 | 50 | 0 | 0 | 35 | 0 | 0$ | ||||
21 | Jack Johnson | X | 100.00 | 83 | 43 | 76 | 72 | 81 | 86 | 85 | 80 | 50 | 76 | 72 | 86 | 76 | 97 | 96 | 1 | 50 | 0 | 0 | 38 | 1 | 1,750,000$ | ||||
MOYENNE D’ÉQUIPE | 100.00 | 83 | 38 | 83 | 81 | 84 | 84 | 84 | 82 | 66 | 77 | 75 | 75 | 73 | 90 | 90 | 1 | 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 | Tyler Bunz | 100.00 | 83 | 81 | 82 | 86 | 90 | 87 | 88 | 87 | 87 | 87 | 87 | 83 | 88 | 1 | 50 | 0 | 0 | 33 | 0 | 0$ | |
2 | Ken Appleby | 100.00 | 89 | 87 | 87 | 91 | 93 | 93 | 93 | 93 | 92 | 92 | 92 | 84 | 83 | 9 | 50 | 0 | 0 | 30 | 4 | 6,750,000$ | |
Rayé | |||||||||||||||||||||||
Équipe Mineure | |||||||||||||||||||||||
1 | Anders Lindback | 100.00 | 80 | 81 | 84 | 94 | 87 | 84 | 86 | 83 | 84 | 86 | 85 | 90 | 89 | 1 | 50 | 0 | 0 | 37 | 0 | 0$ | |
2 | Darcy Kuemper | 100.00 | 83 | 81 | 83 | 87 | 88 | 86 | 88 | 85 | 85 | 87 | 85 | 86 | 88 | 1 | 50 | 0 | 0 | 35 | 0 | 0$ | |
3 | Andrew Hammond | 100.00 | 82 | 81 | 83 | 86 | 85 | 86 | 88 | 84 | 85 | 88 | 88 | 82 | 83 | 1 | 50 | 0 | 0 | 37 | 0 | 0$ | |
MOYENNE D’ÉQUIPE | 100.00 | 86 | 84 | 85 | 89 | 92 | 90 | 91 | 90 | 90 | 90 | 90 | 84 | 86 | 5 | 50 | 0 |
Nom de l’entraîneur | PH | DF | OF | PD | EX | LD | PO | CNT | Âge | Contrat | Salaire |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 83 | 83 | 87 | 84 | 85 | 83 | 70 | USA | 58 | 1 | 3,000,000$ |
# | Nom du joueur | POS | Team | 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 |
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# | 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 |
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Nom du joueur | POS | Âge | Date de naissance | Termes | Contrat | Cap % | Année 2025-2026 | Année 2026-2027 | Année 2027-2028 | Année 2028-2029 | Année 2029-2030 | Année 2030-2031 | Année 2031-2032 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Attaquant | |||||||||||||
Brendan Lemieux | LW | 29 | 1996-01-22 | TW | 4 | 4.92% | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA [Age: 33] | ||
Carter Verhaeghe | C/LW/RW | 30 | 1995-01-22 | TW | 0 | 0.00% | UFA [Age: 30] | ||||||
Jake DeBrusk | LW/RW | 29 | 1996-01-22 | TW | 2 | 5.24% | 5,000,000$ | 5,000,000$ | UFA [Age: 31] | ||||
Jakub Voracek | LW/RW | 36 | 1989-01-22 | TW | 1 | 2.62% | 2,500,000$ | UFA [Age: 37] | |||||
Joseph Blandisi | C/LW | 31 | 1994-01-22 | TW | 2 | 1.15% | 1,100,000$ | 1,100,000$ | UFA [Age: 33] | ||||
Kiefer Sherwood | C/LW/RW | 30 | 1995-01-22 | TW | 1 | 1.47% | 1,400,000$ | UFA [Age: 31] | |||||
Magnus Paajarvi | LW/RW | 34 | 1991-01-22 | TW | 0 | 0.00% | UFA [Age: 34] | ||||||
Michael McCarron | C/RW | 30 | 1995-01-22 | TW | 2 | 2.99% | 3,200,000$ | 3,200,000$ | UFA [Age: 32] | ||||
Nicolas Roy | C | 28 | 1997-01-02 | TW | 2 | 2.51% | 2,400,000$ | 2,400,000$ | UFA [Age: 30] | ||||
Ryan Johansen | C | 33 | 1992-01-22 | TW | 0 | 0.00% | UFA [Age: 33] | ||||||
Sheldon Dries | C/LW/RW | 31 | 1994-01-02 | TW | 0 | 0.00% | UFA [Age: 31] | ||||||
Émile Poirier | LW/RW | 31 | 1994-01-22 | TW | 1 | 6.54% | 6,250,000$ | UFA [Age: 32] | |||||
MOYENNE (12) | 31.00 | 27.45% | 26,210,000$ | 16,060,000$ | 4,700,000$ | 4,700,000$ | 0$ | 0$ | 0$ | ||||
Défenseur | |||||||||||||
Andreas Englund | D | 29 | 1996-01-22 | TW | 1 | 4.19% | 4,000,000$ | UFA [Age: 30] | |||||
Brady Skjei | D | 31 | 1994-01-22 | TW | 4 | 6.81% | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA [Age: 35] | ||
Connor Carrick | D | 31 | 1994-01-22 | TW | 0 | 0.00% | UFA [Age: 31] | ||||||
Dillon Heatherington | D | 30 | 1995-01-22 | TW | 1 | 4.08% | 3,900,000$ | UFA [Age: 31] | |||||
Vyacheslav Voynov | D | 35 | 1990-01-22 | TW | 1 | 7.33% | 7,000,000$ | UFA [Age: 36] | |||||
MOYENNE (5) | 31.20 | 22.41% | 21,400,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 0$ | 0$ | 0$ | ||||
Gardiens | |||||||||||||
Ken Appleby | G | 30 | 1995-01-22 | TW | 4 | 7.07% | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | UFA [Age: 34] | ||
Tyler Bunz | G | 33 | 1992-01-22 | TW | 0 | 0.00% | UFA [Age: 33] | ||||||
MOYENNE (2) | 31.50 | 7.07% | 6,750,000$ | 6,750,000$ | 6,750,000$ | 6,750,000$ | 0$ | 0$ | 0$ | ||||
Valeur du plafond salarial spécial | 2,550,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTALE (19) | 59.59% | 56,910,000$ | 29,310,000$ | 17,950,000$ | 17,950,000$ | 0$ | 0$ | 0$ |
Attaque à 5 contre 5 | |||||||
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Ailier gauche | Centre | Ailier droit | |||||
![]() DeBrusk
0
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![]() Johansen
0
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![]() Poirier
0
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![]() Verhaeghe
0
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![]() Roy
0
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![]() Voracek
0
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![]() Lemieux
0
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![]() McCarron
0
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![]() Sherwood
0
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![]() Blandisi
0
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![]() Paajarvi
0
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![]() Sherwood
0
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Défense à 5 contre 5 | |||||||
---|---|---|---|---|---|---|---|
Défense | Défense | ||||||
![]() Voynov
0
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![]() Carrick
0
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![]() Englund
0
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![]() Heatherington
0
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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 |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0 | 0 | 0 | 0 |
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 |
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% | 0 | 0 | 0% | 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 | ||||||||
---|---|---|---|---|---|---|---|---|
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% | 0 | 0 | 0% | 0 | 0 | 0% |
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 |
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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 |
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 | ||||
---|---|---|---|---|
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 | |||
---|---|---|---|
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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2025 | ![]() | ![]() | ![]() | ![]() | ![]() ![]() | ![]() | |
2026 | ![]() | ![]() | ![]() ![]() | ![]() | ![]() | ![]() ![]() | |
2027 | ![]() ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2029 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
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 |