Day : 23 |
NYR - 2 |
OTT - 3 |
QUE - 4 |
CLB - 3 |
BNG - 2 |
TRL - 7 |
Day : 24 |
(6-3-0) - W2 |
(6-5-0) - L2 |
(7-1-0) - W3 |
(5-5-0) - L3 |
(6-3-0) - L1 |
(6-5-0) - W1 |
(6-5-0) - W2 |
(6-3-0) - L2 |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Stéphane Paquette |
|
|
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 |
# | Player Name | 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 | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Anthony Angello | X | X | 100.00 | 93 | 44 | 76 | 79 | 87 | 80 | 84 | 80 | 75 | 74 | 74 | 72 | 73 | 83 | 78 | 5 | 50 | 0 | 0 | 27 | 4 | 2,500,000$ | |||
2 | Noah Rod | X | X | X | 100.00 | 84 | 37 | 83 | 83 | 82 | 86 | 86 | 81 | 75 | 77 | 76 | 69 | 77 | 80 | 79 | 6 | 50 | 0 | 0 | 27 | 4 | 2,750,000$ | ||
3 | Jeffrey Viel | X | X | 100.00 | 87 | 46 | 77 | 80 | 83 | 84 | 84 | 79 | 66 | 75 | 74 | 70 | 72 | 82 | 84 | 6 | 50 | 0 | 0 | 26 | 1 | 1,750,000$ | |||
4 | Charles Hudon | X | X | 100.00 | 76 | 35 | 88 | 77 | 80 | 80 | 77 | 85 | 73 | 75 | 74 | 70 | 77 | 84 | 94 | 1 | 50 | 0 | 0 | 29 | 3 | 2,900,000$ | |||
5 | Boris Katchouk (R) | X | 100.00 | 85 | 40 | 82 | 79 | 81 | 82 | 85 | 80 | 68 | 75 | 75 | 68 | 75 | 81 | 73 | 6 | 50 | 0 | 0 | 25 | 1 | 900,000$ | ||||
6 | Otto Koivula (R) | X | X | 100.00 | 78 | 39 | 83 | 80 | 84 | 83 | 86 | 80 | 77 | 76 | 75 | 67 | 78 | 78 | 83 | 6 | 50 | 0 | 0 | 25 | 1 | 900,000$ | |||
7 | Patrick Brown | X | X | 100.00 | 78 | 40 | 88 | 78 | 81 | 79 | 79 | 79 | 76 | 74 | 73 | 69 | 78 | 90 | 90 | 1 | 50 | 0 | 0 | 31 | 1 | 1,100,000$ | |||
8 | Eetu Luostarinen (R) (C) | X | 100.00 | 79 | 30 | 92 | 84 | 82 | 83 | 81 | 80 | 77 | 76 | 74 | 70 | 73 | 75 | 76 | 6 | 50 | 0 | 0 | 25 | 3 | 1,900,000$ | ||||
9 | Johan Larsson | X | X | X | 100.00 | 75 | 35 | 89 | 79 | 76 | 80 | 77 | 78 | 73 | 71 | 70 | 66 | 76 | 97 | 95 | 1 | 50 | 0 | 0 | 31 | 2 | 2,250,000$ | ||
10 | Matthew Nieto | X | X | 100.00 | 73 | 33 | 88 | 82 | 80 | 83 | 79 | 81 | 70 | 75 | 75 | 72 | 82 | 97 | 96 | 1 | 50 | 0 | 0 | 31 | 3 | 6,000,000$ | |||
11 | Alex Iafallo | X | X | 100.00 | 67 | 30 | 97 | 81 | 76 | 79 | 77 | 78 | 74 | 73 | 73 | 71 | 70 | 87 | 85 | 1 | 50 | 0 | 0 | 30 | 1 | 2,500,000$ | |||
12 | Vitali Abramov (R) | X | X | 100.00 | 69 | 30 | 89 | 84 | 72 | 83 | 81 | 88 | 65 | 76 | 74 | 66 | 77 | 68 | 67 | 6 | 50 | 0 | 0 | 25 | 3 | 1,750,000$ | |||
13 | Jamie McBain | X | 100.00 | 72 | 40 | 87 | 71 | 80 | 80 | 81 | 75 | 50 | 72 | 67 | 84 | 75 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 5,500,000$ | ||||
14 | Marc Staal | X | 100.00 | 89 | 45 | 76 | 70 | 80 | 81 | 81 | 72 | 50 | 71 | 62 | 94 | 67 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 1 | 3,000,000$ | ||||
15 | Jake Gardiner | X | 100.00 | 83 | 43 | 77 | 78 | 77 | 78 | 79 | 82 | 51 | 76 | 67 | 85 | 72 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 2 | 1,950,000$ | ||||
16 | Griffin Reinhart | X | 100.00 | 95 | 45 | 75 | 74 | 86 | 81 | 75 | 76 | 50 | 75 | 65 | 89 | 60 | 92 | 95 | 1 | 50 | 0 | 0 | 29 | 1 | 3,000,000$ | ||||
17 | Michael Paliotta | X | 100.00 | 95 | 46 | 73 | 75 | 90 | 84 | 79 | 77 | 50 | 73 | 69 | 87 | 65 | 91 | 89 | 1 | 50 | 0 | 0 | 30 | 2 | 1,650,000$ | ||||
18 | Steve Weinstein | X | 100.00 | 71 | 35 | 87 | 74 | 70 | 75 | 73 | 75 | 50 | 71 | 64 | 84 | 62 | 82 | 82 | 1 | 50 | 0 | 0 | 33 | 1 | 1,250,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Garnet Hathaway | X | X | 100.00 | 92 | 53 | 77 | 74 | 91 | 77 | 78 | 76 | 75 | 73 | 72 | 72 | 75 | 97 | 98 | 1 | 50 | 0 | 0 | 32 | 1 | 2,800,000$ | |||
2 | Simon Despres | X | 100.00 | 93 | 46 | 72 | 76 | 82 | 81 | 80 | 80 | 50 | 76 | 65 | 87 | 68 | 99 | 99 | 1 | 50 | 0 | 0 | 32 | 1 | 2,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Mason Appleton | X | X | 100.00 | 84 | 38 | 87 | 82 | 89 | 88 | 84 | 80 | 75 | 76 | 75 | 71 | 73 | 79 | 81 | 6 | 50 | 0 | 0 | 27 | 2 | 1,650,000$ | |||
2 | Jesper Boqvist (R) | X | X | 100.00 | 60 | 33 | 91 | 84 | 74 | 83 | 77 | 78 | 68 | 71 | 73 | 63 | 80 | 76 | 73 | 5 | 50 | 0 | 0 | 25 | 2 | 1,100,000$ | |||
3 | Dennis Yan | X | 100.00 | 83 | 45 | 80 | 80 | 84 | 84 | 82 | 79 | 64 | 74 | 73 | 65 | 70 | 75 | 73 | 6 | 50 | 0 | 0 | 26 | 1 | 1,250,000$ | ||||
4 | Marcus Kruger | X | X | X | 100.00 | 77 | 35 | 91 | 78 | 73 | 75 | 78 | 77 | 76 | 70 | 71 | 71 | 74 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 1,300,000$ | ||
5 | Givani Smith | X | X | 100.00 | 90 | 52 | 71 | 80 | 88 | 79 | 76 | 78 | 68 | 73 | 75 | 68 | 67 | 84 | 89 | 6 | 50 | 0 | 0 | 25 | 2 | 1,600,000$ | |||
6 | Ben McCartney (R) | X | 100.00 | 83 | 45 | 76 | 79 | 80 | 83 | 85 | 79 | 63 | 74 | 73 | 67 | 72 | 69 | 67 | 6 | 50 | 0 | 0 | 22 | 1 | 875,000$ | ||||
7 | Turner Elson | X | X | 100.00 | 71 | 42 | 81 | 78 | 76 | 80 | 80 | 77 | 77 | 71 | 71 | 71 | 76 | 86 | 86 | 1 | 50 | 0 | 0 | 31 | 2 | 900,000$ | |||
8 | Ilya Usov (R) | X | 100.00 | 76 | 40 | 87 | 79 | 80 | 82 | 86 | 79 | 76 | 73 | 72 | 70 | 75 | 70 | 68 | 6 | 50 | 0 | 0 | 22 | 1 | 1,200,000$ | ||||
9 | Ryan McAllister (R) | X | 100.00 | 66 | 35 | 83 | 78 | 74 | 80 | 80 | 77 | 76 | 71 | 71 | 69 | 77 | 64 | 66 | 6 | 50 | 0 | 0 | 22 | 1 | 1,250,000$ | ||||
10 | Sean Kuraly | X | X | 100.00 | 88 | 38 | 78 | 75 | 86 | 83 | 81 | 77 | 78 | 71 | 71 | 65 | 74 | 82 | 78 | 1 | 50 | 0 | 0 | 30 | 1 | 1,225,000$ | |||
11 | Fredrik Karlström (R) | X | 100.00 | 69 | 25 | 98 | 80 | 83 | 83 | 82 | 80 | 77 | 74 | 76 | 66 | 80 | 72 | 68 | 6 | 50 | 0 | 0 | 25 | 2 | 1,500,000$ | ||||
12 | Brock Nelson | X | X | 100.00 | 76 | 35 | 89 | 80 | 80 | 77 | 76 | 79 | 77 | 73 | 71 | 73 | 75 | 96 | 94 | 1 | 50 | 0 | 0 | 32 | 3 | 1,900,000$ | |||
13 | Matt Kiersted (R) | X | 100.00 | 88 | 47 | 76 | 79 | 83 | 83 | 75 | 75 | 55 | 73 | 64 | 88 | 60 | 73 | 82 | 6 | 50 | 0 | 0 | 25 | 1 | 900,000$ | ||||
14 | Michael Brodzinski | X | 100.00 | 76 | 42 | 78 | 77 | 79 | 80 | 78 | 77 | 50 | 71 | 62 | 84 | 58 | 76 | 75 | 4 | 50 | 0 | 0 | 28 | 2 | 925,000$ | ||||
15 | Michael Vukojevic (R) | X | 100.00 | 90 | 49 | 75 | 77 | 85 | 82 | 87 | 78 | 50 | 73 | 64 | 86 | 60 | 72 | 71 | 6 | 50 | 0 | 0 | 22 | 1 | 925,000$ | ||||
16 | Declan Chisholm (R) | X | 100.00 | 83 | 40 | 79 | 79 | 81 | 84 | 87 | 78 | 50 | 75 | 66 | 85 | 63 | 70 | 75 | 6 | 50 | 0 | 0 | 23 | 3 | 1,500,000$ | ||||
17 | Paul LaDue | X | 100.00 | 87 | 35 | 77 | 74 | 79 | 72 | 75 | 75 | 52 | 69 | 63 | 85 | 63 | 83 | 77 | 1 | 50 | 0 | 0 | 31 | 2 | 900,000$ | ||||
18 | Peter Stoykewych | X | 100.00 | 90 | 40 | 77 | 75 | 81 | 78 | 76 | 76 | 51 | 72 | 65 | 84 | 57 | 85 | 88 | 1 | 50 | 0 | 0 | 31 | 1 | 1,250,000$ | ||||
19 | Ralfs Freibergs | X | 100.00 | 75 | 40 | 78 | 71 | 75 | 75 | 70 | 73 | 51 | 68 | 63 | 83 | 68 | 80 | 80 | 1 | 50 | 0 | 0 | 32 | 1 | 850,000$ | ||||
20 | Vilmos Gallo | X | X | 100.00 | 75 | 37 | 92 | 81 | 77 | 78 | 74 | 78 | 60 | 73 | 72 | 66 | 71 | 71 | 72 | 4 | 50 | 0 | 0 | 27 | 4 | 1,300,000$ | |||
21 | Ville Leskinen | X | X | 100.00 | 69 | 27 | 93 | 76 | 78 | 81 | 79 | 77 | 65 | 71 | 71 | 68 | 73 | 77 | 75 | 1 | 50 | 0 | 0 | 29 | 2 | 950,000$ | |||
22 | Odeen Tufto (R) | X | 100.00 | 60 | 35 | 79 | 76 | 66 | 80 | 75 | 76 | 74 | 70 | 67 | 65 | 75 | 67 | 77 | 3 | 50 | 0 | 0 | 26 | 2 | 825,000$ | ||||
23 | Ben Zloty (R) | X | 100.00 | 76 | 20 | 88 | 74 | 78 | 78 | 78 | 76 | 50 | 74 | 62 | 79 | 65 | 63 | 63 | 6 | 50 | 0 | 0 | 21 | 2 | 850,000$ | ||||
TEAM AVERAGE | 100.00 | 82 | 40 | 83 | 78 | 81 | 81 | 80 | 79 | 65 | 74 | 71 | 76 | 73 | 88 | 88 | 3 | 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 |
# | Goalie Name | CON | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary Average |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Jaroslav Halak | 100.00 | 84 | 82 | 78 | 81 | 91 | 89 | 90 | 87 | 86 | 92 | 94 | 99 | 99 | 1 | 50 | 0 | 0 | 38 | 2 | 6,250,000$ | |
2 | Filip Gustavsson (R) | 100.00 | 90 | 85 | 88 | 85 | 92 | 88 | 88 | 90 | 89 | 91 | 86 | 74 | 74 | 8 | 50 | 0 | 0 | 25 | 6 | 4,208,334$ | |
Scratches | |||||||||||||||||||||||
1 | Marek Mazanec | 100.00 | 87 | 81 | 85 | 83 | 89 | 87 | 88 | 87 | 89 | 91 | 87 | 88 | 85 | 1 | 50 | 0 | 0 | 32 | 2 | 3,000,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Connor Ingram (R) | 100.00 | 88 | 84 | 85 | 86 | 87 | 86 | 87 | 86 | 85 | 85 | 85 | 76 | 73 | 8 | 50 | 0 | 0 | 26 | 1 | 950,000$ | |
2 | Marcus Hogberg | 100.00 | 87 | 86 | 86 | 92 | 88 | 86 | 88 | 87 | 86 | 86 | 83 | 77 | 75 | 1 | 50 | 0 | 0 | 29 | 1 | 1,950,000$ | |
TEAM AVERAGE | 100.00 | 87 | 83 | 84 | 83 | 91 | 88 | 89 | 88 | 88 | 91 | 89 | 87 | 86 | 3 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Joe Sacco | 80 | 80 | 82 | 82 | 81 | 81 | 70 | USA | 55 | 2 | 1,600,000$ |
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 |
# | Player Name | Team Name | 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 |
# | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
---|
Player Name | POS | Age | Birthday | Terms | Contract | Cap % | Year 2023 | Year 2024 | Year 2025 | Year 2026 | Year 2027 | Year 2028 | Year 2029 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Forward | |||||||||||||
Alex Iafallo | C/LW | 30 | 1992-01-22 08:13:58 | TW | 1 | 2.87% | 2,500,000$ | UFA [Age: 31] | |||||
Anthony Angello | C/RW | 27 | 1995-01-02 12:43:10 | TW | 4 | 2.87% | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA [Age: 31] | ||
Boris Katchouk | LW | 25 | 1997-01-02 02:12:56 | TW | 1 | 1.03% | 900,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Charles Hudon | C/LW | 29 | 1993-01-22 06:05:34 | TW | 3 | 3.33% | 2,900,000$ | 2,900,000$ | 2,900,000$ | UFA [Age: 32] | |||
Eetu Luostarinen | C | 25 | 1997-01-02 12:11:07 | TW | 3 | 2.18% | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA [Age: 28] | |||
Garnet Hathaway | LW/RW | 32 | 1990-01-02 21:01:54 | TW | 1 | 3.22% | 2,800,000$ | UFA [Age: 33] | |||||
Jeffrey Viel | LW/RW | 26 | 1996-01-02 00:36:47 | TW | 1 | 2.01% | 1,750,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Johan Larsson | C/LW/RW | 31 | 1991-01-22 13:03:33 | TW | 2 | 2.59% | 2,250,000$ | 2,250,000$ | UFA [Age: 33] | ||||
Matthew Nieto | LW/RW | 31 | 1991-01-22 06:58:09 | TW | 3 | 6.90% | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA [Age: 34] | |||
Noah Rod | C/LW/RW | 27 | 1995-01-22 07:41:23 | TW | 4 | 3.16% | 2,750,000$ | 2,750,000$ | 2,750,000$ | 2,750,000$ | UFA [Age: 31] | ||
Otto Koivula | C/LW | 25 | 1997-01-02 10:51:46 | TW | 1 | 1.03% | 900,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Patrick Brown | C/RW | 31 | 1991-01-02 12:55:30 | TW | 1 | 1.26% | 1,100,000$ | UFA [Age: 32] | |||||
Vitali Abramov | LW/RW | 25 | 1997-01-22 04:17:20 | TW | 3 | 2.01% | 1,750,000$ | 1,750,000$ | 1,750,000$ | UFA [Age: 28] | |||
AVERAGE (13) | 28.00 | 34.48% | 30,000,000$ | 20,050,000$ | 17,800,000$ | 5,250,000$ | 0$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Griffin Reinhart | D | 29 | 1993-01-22 05:22:04 | TW | 1 | 3.45% | 3,000,000$ | UFA [Age: 30] | |||||
Jake Gardiner | D | 33 | 1989-01-22 12:08:54 | TW | 2 | 2.24% | 1,950,000$ | 1,950,000$ | UFA [Age: 35] | ||||
Jamie McBain | D | 35 | 1987-01-22 00:29:38 | TW | 1 | 6.32% | 5,500,000$ | UFA [Age: 36] | |||||
Marc Staal | D | 36 | 1986-01-22 18:29:38 | TW | 1 | 3.45% | 3,000,000$ | UFA [Age: 37] | |||||
Michael Paliotta | D | 30 | 1992-01-22 16:21:00 | TW | 2 | 1.90% | 1,650,000$ | 1,650,000$ | UFA [Age: 32] | ||||
Simon Despres | D | 32 | 1990-01-22 08:00:13 | TW | 1 | 2.30% | 2,000,000$ | UFA [Age: 33] | |||||
Steve Weinstein | D | 33 | 1989-01-22 10:27:11 | TW | 1 | 1.44% | 1,250,000$ | UFA [Age: 34] | |||||
AVERAGE (7) | 32.57 | 21.09% | 18,350,000$ | 3,600,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
Filip Gustavsson | G | 25 | 1997-01-22 03:32:02 | TW | 6 | 4.84% | 2,250,000$ | 3,000,000$ | 3,500,000$ | 4,500,000$ | 5,500,000$ | 6,500,000$ | UFA [Age: 31] |
Jaroslav Halak | G | 38 | 1984-01-22 12:29:38 | TW | 2 | 7.18% | 6,250,000$ | 6,250,000$ | UFA [Age: 40] | ||||
Marek Mazanec | G | 32 | 1990-01-22 17:21:07 | TW | 2 | 3.45% | 3,000,000$ | 3,000,000$ | UFA [Age: 34] | ||||
AVERAGE (3) | 31.67 | 15.47% | 13,458,334$ | 13,458,334$ | 4,208,334$ | 4,208,334$ | 4,208,334$ | 4,208,334$ | 0$ | ||||
Special Salary Cap Value | 5,000,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (23) | 76.79% | 66,808,334$ | 37,108,334$ | 22,008,334$ | 9,458,334$ | 4,208,334$ | 4,208,334$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Larsson
0
|
Luostarinen
0
|
Brown
0
| |||||
Hudon
0
|
Rod
0
|
Angello
0
| |||||
Katchouk
0
|
Iafallo
0
|
Nieto
0
| |||||
Abramov
0
|
Koivula
0
|
Viel
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Reinhart
0
|
Staal
0
| ||||||
Paliotta
0
|
Gardiner
0
| ||||||
McBain
0
|
Weinstein
0
| ||||||
Reinhart
0
|
Staal
0
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Viel
0
|
Brown
0
|
Nieto
0
| |||||
Hudon
0
|
Rod
0
|
Angello
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Reinhart
0
|
Staal
0
| ||||||
Paliotta
0
|
Gardiner
0
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Larsson
0
|
Angello
0
| |||||
Brown
0
|
Rod
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Weinstein
0
|
Staal
0
| |||||
Paliotta
0
|
Gardiner
0
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Larsson
0
|
Weinstein
0
|
Staal
0
| |||||||||
Koivula
0
|
Paliotta
0
|
Gardiner
0
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Larsson
0
|
Nieto
0
| |||||
Brown
0
|
Rod
0
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Reinhart
0
|
Staal
0
| |||||
Paliotta
0
|
Gardiner
0
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Charles Hudon | Patrick Brown | Matthew Nieto | Steve Weinstein | Marc Staal |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Charles Hudon | Patrick Brown | Jeffrey Viel | Steve Weinstein | Marc Staal |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Eetu Luostarinen, Boris Katchouk, Jeffrey Viel | Eetu Luostarinen, Boris Katchouk | Jeffrey Viel |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jamie McBain, Steve Weinstein, Michael Paliotta | Jamie McBain | Steve Weinstein, Michael Paliotta |
Penalty Shots |
---|
Steve Weinstein, Jeffrey Viel, Patrick Brown, Noah Rod, Charles Hudon |
Goalie |
---|
#1 : Filip Gustavsson, #2 : Jaroslav Halak |
Custom OT Lines Forwards |
---|
Johan Larsson, Matthew Nieto, Patrick Brown, Noah Rod, Charles Hudon, Anthony Angello, Anthony Angello, Boris Katchouk, Jeffrey Viel, Alex Iafallo, Otto Koivula |
Custom OT Lines Defensemen |
---|
Charles Hudon, Marc Staal, Michael Paliotta, Jake Gardiner, Jamie McBain |
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 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
# | VS Team | 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 For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
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 |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
---|
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
|
|
|
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 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | 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 |