Day : 18 |
NSH - 2 |
VEG - 3 |
VAN - 6 |
DET - 3 |
WBS - 4 |
HAM - 3 |
PAR - 3 |
CTW - 5 |
Day : 19 |
(6-2-0) - W6 |
(4-3-0) - OTL1 |
(4-2-0) - L2 |
(6-3-0) - W5 |
(6-0-0) - W6 |
(6-5-0) - L2 |
(6-2-0) - W4 |
(6-2-0) - L1 |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Tony Roy |
|
|
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 | Colin Wilson | X | X | X | 100.00 | 65 | 40 | 97 | 81 | 82 | 89 | 89 | 82 | 71 | 75 | 76 | 65 | 84 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 1 | 5,000,000$ | ||
2 | Darren Helm | X | X | X | 100.00 | 71 | 36 | 99 | 77 | 74 | 84 | 84 | 79 | 83 | 70 | 70 | 73 | 76 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 1 | 925,000$ | ||
3 | Jakub Voracek | X | X | 100.00 | 69 | 30 | 96 | 83 | 81 | 88 | 87 | 85 | 63 | 77 | 75 | 65 | 85 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 3 | 2,500,000$ | |||
4 | Brendan Lemieux | X | 100.00 | 99 | 49 | 77 | 83 | 93 | 85 | 84 | 81 | 68 | 75 | 76 | 73 | 74 | 80 | 78 | 6 | 50 | 0 | 0 | 27 | 6 | 4,700,000$ | ||||
5 | Magnus Paajarvi | X | X | 100.00 | 62 | 33 | 99 | 78 | 87 | 94 | 93 | 82 | 59 | 75 | 74 | 64 | 79 | 98 | 98 | 1 | 50 | 0 | 0 | 32 | 2 | 1,000,000$ | |||
6 | Nicolas Roy (A) | X | 100.00 | 81 | 35 | 86 | 80 | 88 | 90 | 90 | 82 | 77 | 77 | 74 | 74 | 72 | 80 | 84 | 6 | 50 | 0 | 0 | 26 | 1 | 1,750,000$ | ||||
7 | Phil Kessel | X | 100.00 | 58 | 30 | 98 | 77 | 76 | 85 | 83 | 85 | 59 | 70 | 76 | 63 | 86 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 1 | 1,300,000$ | ||||
8 | Taylor Hall (A) | X | 100.00 | 77 | 35 | 94 | 93 | 83 | 91 | 89 | 88 | 62 | 84 | 83 | 66 | 87 | 99 | 99 | 1 | 50 | 0 | 0 | 32 | 2 | 8,250,000$ | ||||
9 | Tyler Seguin | X | X | 100.00 | 66 | 35 | 99 | 86 | 84 | 91 | 90 | 91 | 82 | 82 | 80 | 67 | 87 | 99 | 97 | 1 | 50 | 0 | 0 | 31 | 3 | 8,500,000$ | |||
10 | Ryan Johansen | X | 100.00 | 78 | 40 | 84 | 83 | 81 | 83 | 80 | 87 | 80 | 78 | 78 | 67 | 85 | 99 | 99 | 1 | 50 | 0 | 0 | 31 | 2 | 7,500,000$ | ||||
11 | Émile Poirier | X | X | 100.00 | 91 | 35 | 80 | 87 | 84 | 88 | 89 | 86 | 66 | 80 | 78 | 67 | 82 | 91 | 91 | 1 | 50 | 0 | 0 | 29 | 3 | 6,250,000$ | |||
12 | Kevin Fiala | X | X | 100.00 | 62 | 25 | 99 | 90 | 78 | 86 | 85 | 91 | 65 | 83 | 80 | 68 | 82 | 85 | 83 | 8 | 50 | 0 | 0 | 27 | 6 | 7,500,000$ | |||
13 | Dylan Olsen | X | 100.00 | 87 | 47 | 77 | 79 | 81 | 81 | 80 | 79 | 50 | 74 | 73 | 86 | 75 | 99 | 99 | 1 | 50 | 0 | 0 | 32 | 3 | 1,100,000$ | ||||
14 | Vyacheslav Voynov | X | 100.00 | 89 | 45 | 75 | 81 | 80 | 81 | 80 | 83 | 50 | 80 | 75 | 89 | 65 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 3 | 7,000,000$ | ||||
15 | Jake Dotchin | X | 100.00 | 96 | 44 | 73 | 76 | 89 | 80 | 78 | 79 | 50 | 78 | 68 | 94 | 63 | 81 | 82 | 6 | 50 | 0 | 0 | 29 | 5 | 2,500,000$ | ||||
16 | Brady Skjei (C) | X | 100.00 | 86 | 35 | 81 | 83 | 86 | 86 | 82 | 84 | 52 | 82 | 71 | 91 | 68 | 97 | 96 | 8 | 50 | 0 | 0 | 29 | 1 | 5,500,000$ | ||||
17 | Dillon Heatherington | X | 100.00 | 91 | 38 | 78 | 79 | 85 | 84 | 77 | 79 | 51 | 76 | 68 | 93 | 60 | 90 | 93 | 7 | 50 | 0 | 0 | 28 | 3 | 3,900,000$ | ||||
18 | Connor Carrick | X | 100.00 | 86 | 39 | 79 | 84 | 80 | 83 | 82 | 85 | 53 | 78 | 74 | 87 | 71 | 89 | 93 | 7 | 50 | 0 | 0 | 29 | 2 | 2,500,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||||||||
1 | Conor Sheary | X | X | 100.00 | 62 | 25 | 98 | 84 | 76 | 83 | 83 | 80 | 67 | 73 | 72 | 67 | 78 | 87 | 87 | 1 | 50 | 0 | 0 | 31 | 3 | 1,000,000$ | |||
2 | Ross Johnston | X | X | 100.00 | 95 | 63 | 72 | 76 | 95 | 77 | 75 | 77 | 68 | 72 | 71 | 73 | 70 | 79 | 82 | 1 | 50 | 0 | 0 | 29 | 1 | 900,000$ | |||
3 | Taylor Ward (R) | X | 100.00 | 79 | 65 | 79 | 77 | 83 | 80 | 83 | 76 | 71 | 71 | 71 | 62 | 81 | 71 | 73 | 5 | 50 | 0 | 0 | 25 | 3 | 1,200,000$ | ||||
4 | Kevin Hayes | X | X | X | 100.00 | 77 | 38 | 87 | 75 | 84 | 80 | 78 | 79 | 75 | 72 | 72 | 71 | 74 | 88 | 89 | 1 | 50 | 0 | 0 | 31 | 1 | 850,000$ | ||
5 | Sheldon Dries | X | X | X | 100.00 | 78 | 35 | 80 | 82 | 82 | 83 | 85 | 79 | 78 | 74 | 74 | 67 | 78 | 86 | 86 | 1 | 50 | 0 | 0 | 29 | 2 | 1,500,000$ | ||
6 | Joseph Blandisi | X | X | 100.00 | 90 | 40 | 83 | 79 | 87 | 80 | 78 | 79 | 72 | 74 | 74 | 70 | 72 | 82 | 84 | 1 | 50 | 0 | 0 | 29 | 4 | 1,100,000$ | |||
7 | Alexander Killorn | X | X | 100.00 | 78 | 42 | 83 | 69 | 77 | 75 | 73 | 73 | 77 | 69 | 69 | 70 | 76 | 90 | 91 | 1 | 50 | 0 | 0 | 34 | 1 | 1,400,000$ | |||
8 | Matt Schmalz | X | X | 100.00 | 87 | 45 | 77 | 73 | 82 | 78 | 70 | 73 | 72 | 69 | 68 | 66 | 67 | 63 | 62 | 3 | 50 | 0 | 0 | 27 | 3 | 850,000$ | |||
9 | Jérôme Verrier | X | X | 100.00 | 88 | 40 | 82 | 79 | 84 | 86 | 84 | 79 | 76 | 77 | 75 | 71 | 74 | 78 | 79 | 1 | 50 | 0 | 0 | 29 | 1 | 1,500,000$ | |||
10 | Adam Tambellini | X | X | 100.00 | 84 | 33 | 89 | 81 | 83 | 81 | 78 | 79 | 77 | 74 | 76 | 72 | 74 | 76 | 76 | 1 | 50 | 0 | 0 | 29 | 1 | 1,800,000$ | |||
11 | Kevin Roy | X | X | 100.00 | 54 | 22 | 98 | 81 | 70 | 81 | 80 | 85 | 60 | 72 | 73 | 65 | 83 | 70 | 71 | 1 | 50 | 0 | 0 | 30 | 3 | 950,000$ | |||
12 | Skyler McKenzie (R) | X | 100.00 | 70 | 35 | 86 | 83 | 73 | 82 | 78 | 77 | 65 | 71 | 72 | 68 | 71 | 66 | 66 | 5 | 50 | 0 | 0 | 25 | 3 | 1,600,000$ | ||||
13 | Jack Johnson | X | 100.00 | 82 | 43 | 78 | 74 | 83 | 89 | 89 | 84 | 50 | 78 | 68 | 87 | 77 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 3 | 1,750,000$ | ||||
14 | Colin Miller | X | 100.00 | 86 | 45 | 80 | 77 | 78 | 74 | 72 | 79 | 50 | 73 | 64 | 88 | 60 | 81 | 83 | 5 | 50 | 0 | 0 | 31 | 1 | 900,000$ | ||||
15 | Philip Larsen | X | 100.00 | 68 | 40 | 89 | 78 | 77 | 75 | 69 | 77 | 50 | 71 | 60 | 87 | 57 | 97 | 99 | 1 | 50 | 0 | 0 | 34 | 1 | 975,000$ | ||||
16 | Magnus Nygren | X | 100.00 | 82 | 41 | 79 | 78 | 79 | 79 | 74 | 80 | 52 | 73 | 69 | 84 | 66 | 81 | 86 | 1 | 50 | 0 | 0 | 33 | 1 | 900,000$ | ||||
17 | Tyler Cuma | X | 100.00 | 83 | 35 | 80 | 75 | 78 | 77 | 75 | 79 | 51 | 75 | 65 | 89 | 60 | 88 | 89 | 1 | 50 | 0 | 0 | 33 | 2 | 950,000$ | ||||
18 | Kevin Lidström | X | 100.00 | 76 | 37 | 87 | 78 | 78 | 81 | 78 | 75 | 51 | 71 | 66 | 87 | 61 | 75 | 76 | 5 | 50 | 0 | 0 | 29 | 1 | 1,000,000$ | ||||
19 | Devante Smith-Pelly | X | X | 100.00 | 93 | 48 | 79 | 76 | 83 | 87 | 81 | 81 | 64 | 74 | 72 | 73 | 74 | 99 | 99 | 1 | 50 | 0 | 0 | 31 | 1 | 975,000$ | |||
20 | Brent Pedersen | X | 100.00 | 92 | 44 | 80 | 79 | 88 | 86 | 86 | 81 | 66 | 75 | 74 | 72 | 74 | 79 | 78 | 5 | 50 | 0 | 0 | 28 | 1 | 1,700,000$ | ||||
21 | Ian Cole | X | 100.00 | 84 | 42 | 80 | 76 | 84 | 76 | 74 | 75 | 51 | 74 | 67 | 86 | 73 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 1 | 1,000,000$ | ||||
22 | Sam Jardine | X | 100.00 | 89 | 38 | 75 | 76 | 80 | 82 | 81 | 78 | 50 | 76 | 69 | 88 | 62 | 87 | 86 | 6 | 50 | 0 | 0 | 30 | 2 | 950,000$ | ||||
23 | Marcus Björk (R) | X | 100.00 | 84 | 30 | 76 | 78 | 84 | 84 | 81 | 77 | 53 | 72 | 66 | 84 | 62 | 73 | 73 | 6 | 50 | 0 | 0 | 26 | 3 | 1,500,000$ | ||||
TEAM AVERAGE | 100.00 | 79 | 37 | 87 | 82 | 83 | 86 | 85 | 84 | 63 | 77 | 75 | 75 | 77 | 93 | 94 | 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 | Jonathan Quick | 100.00 | 91 | 81 | 80 | 83 | 90 | 90 | 93 | 88 | 87 | 91 | 88 | 99 | 99 | 1 | 50 | 0 | 0 | 37 | 1 | 2,500,000$ | |
2 | Sergei Bobrovsky | 100.00 | 93 | 83 | 83 | 90 | 94 | 91 | 94 | 91 | 91 | 95 | 89 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 2 | 8,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Anders Lindback | 100.00 | 81 | 82 | 86 | 94 | 89 | 86 | 87 | 85 | 86 | 88 | 87 | 96 | 98 | 1 | 50 | 0 | 0 | 35 | 2 | 1,250,000$ | |
2 | Darcy Kuemper | 100.00 | 85 | 81 | 85 | 87 | 89 | 87 | 89 | 87 | 86 | 90 | 89 | 82 | 85 | 1 | 50 | 0 | 0 | 33 | 2 | 950,000$ | |
3 | Antti Niemi | 100.00 | 83 | 78 | 79 | 87 | 86 | 85 | 87 | 83 | 82 | 85 | 92 | 99 | 98 | 1 | 50 | 0 | 0 | 40 | 2 | 950,000$ | |
TEAM AVERAGE | 100.00 | 92 | 82 | 82 | 87 | 92 | 91 | 94 | 90 | 89 | 93 | 89 | 99 | 99 | 1 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Sullivan | 83 | 83 | 87 | 84 | 85 | 83 | 70 | USA | 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 |
# | 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 | |||||||||||||
Brendan Lemieux | LW | 27 | 1995-01-22 08:57:41 | TW | 6 | 5.40% | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | 4,700,000$ | UFA [Age: 33] |
Colin Wilson | C/LW/RW | 34 | 1988-01-22 06:29:38 | TW | 1 | 5.75% | 5,000,000$ | UFA [Age: 35] | |||||
Darren Helm | C/LW/RW | 36 | 1986-01-22 18:29:38 | TW | 1 | 1.06% | 925,000$ | UFA [Age: 37] | |||||
Jakub Voracek | LW/RW | 34 | 1988-01-22 06:29:38 | NT TW | 3 | 2.87% | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA [Age: 37] | |||
Kevin Fiala | LW/RW | 27 | 1995-01-22 02:14:50 | TW | 6 | 8.62% | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | 7,500,000$ | UFA [Age: 33] |
Magnus Paajarvi | LW/RW | 32 | 1990-01-22 18:29:38 | NT TW | 2 | 1.15% | 1,000,000$ | 1,000,000$ | UFA [Age: 34] | ||||
Nicolas Roy | C | 26 | 1996-01-02 01:47:04 | TW | 1 | 2.01% | 1,750,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Phil Kessel | RW | 36 | 1986-01-22 18:29:38 | TW | 1 | 1.49% | 1,300,000$ | UFA [Age: 37] | |||||
Ryan Johansen | C | 31 | 1991-01-22 15:11:57 | TW | 2 | 8.62% | 7,500,000$ | 7,500,000$ | UFA [Age: 33] | ||||
Taylor Hall | LW | 32 | 1990-01-22 18:29:38 | NT TW | 2 | 9.48% | 8,250,000$ | 8,250,000$ | UFA [Age: 34] | ||||
Tyler Seguin | C/RW | 31 | 1991-01-22 00:29:38 | TW | 3 | 9.77% | 8,500,000$ | 8,500,000$ | 8,500,000$ | UFA [Age: 34] | |||
Émile Poirier | LW/RW | 29 | 1993-01-22 09:42:39 | TW | 3 | 7.18% | 6,250,000$ | 6,250,000$ | 6,250,000$ | UFA [Age: 32] | |||
AVERAGE (12) | 31.25 | 63.42% | 55,175,000$ | 46,200,000$ | 29,450,000$ | 12,200,000$ | 12,200,000$ | 12,200,000$ | 0$ | ||||
Defenseman | |||||||||||||
Brady Skjei | D | 29 | 1993-01-22 19:00:36 | TW | 1 | 6.32% | 5,500,000$ | UFA [Age: 30] | |||||
Connor Carrick | D | 29 | 1993-01-22 13:06:35 | TW | 2 | 2.87% | 2,500,000$ | 2,500,000$ | UFA [Age: 31] | ||||
Dillon Heatherington | D | 28 | 1994-01-22 15:57:20 | TW | 3 | 4.48% | 3,900,000$ | 3,900,000$ | 3,900,000$ | UFA [Age: 31] | |||
Dylan Olsen | D | 32 | 1990-01-22 11:18:02 | NT TW | 3 | 1.26% | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA [Age: 35] | |||
Jake Dotchin | D | 29 | 1993-01-22 13:39:52 | TW | 5 | 2.87% | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA [Age: 34] | |
Vyacheslav Voynov | D | 33 | 1989-01-22 12:15:44 | TW | 3 | 8.05% | 7,000,000$ | 7,000,000$ | 7,000,000$ | UFA [Age: 36] | |||
AVERAGE (6) | 30.00 | 25.86% | 22,500,000$ | 17,000,000$ | 14,500,000$ | 2,500,000$ | 2,500,000$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
Jonathan Quick | G | 37 | 1985-01-22 18:29:38 | TW | 1 | 2.87% | 2,500,000$ | UFA [Age: 38] | |||||
Sergei Bobrovsky | G | 35 | 1987-01-22 06:29:38 | TW | 2 | 9.77% | 8,500,000$ | 8,500,000$ | UFA [Age: 37] | ||||
AVERAGE (2) | 36.00 | 12.64% | 11,000,000$ | 8,500,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | -2,500,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (20) | 99.05% | 86,175,000$ | 71,700,000$ | 43,950,000$ | 14,700,000$ | 14,700,000$ | 12,200,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Poirier
0
|
Seguin
0
|
Fiala
0
| |||||
Hall
0
|
Johansen
0
|
Voracek
0
| |||||
Helm
0
|
Roy
0
|
Lemieux
0
| |||||
Paajarvi
0
|
Wilson
0
|
Kessel
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Voynov
0
|
Skjei
0
| ||||||
Heatherington
0
|
Dotchin
0
| ||||||
Olsen
0
|
Carrick
0
| ||||||
Voynov
0
|
Skjei
0
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Poirier
0
|
Seguin
0
|
Fiala
0
| |||||
Lemieux
0
|
Johansen
0
|
Voracek
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Hall
0
|
Voynov
0
| ||||||
Carrick
0
|
Olsen
0
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Roy
0
|
Lemieux
0
| |||||
Helm
0
|
Seguin
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Heatherington
0
|
Dotchin
0
| |||||
Skjei
0
|
Olsen
0
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Roy
0
|
Heatherington
0
|
Dotchin
0
| |||||||||
Lemieux
0
|
Skjei
0
|
Olsen
0
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Seguin
0
|
Fiala
0
| |||||
Hall
0
|
Poirier
0
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Voynov
0
|
Skjei
0
| |||||
Carrick
0
|
Heatherington
0
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Taylor Hall | Tyler Seguin | Kevin Fiala | Vyacheslav Voynov | Brady Skjei |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Brendan Lemieux | Nicolas Roy | Tyler Seguin | Dillon Heatherington | Jake Dotchin |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Émile Poirier, Ryan Johansen, Tyler Seguin | Nicolas Roy, Jakub Voracek | Brendan Lemieux |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Dylan Olsen, Vyacheslav Voynov, Brady Skjei | Vyacheslav Voynov | Brady Skjei, Jake Dotchin |
Penalty Shots |
---|
Tyler Seguin, Taylor Hall, Phil Kessel, Ryan Johansen, Jakub Voracek |
Goalie |
---|
#1 : Sergei Bobrovsky, #2 : Jonathan Quick |
Custom OT Lines Forwards |
---|
Tyler Seguin, Taylor Hall, Kevin Fiala, Émile Poirier, Ryan Johansen, Jakub Voracek, Jakub Voracek, Nicolas Roy, Brendan Lemieux, Colin Wilson, Phil Kessel |
Custom OT Lines Defensemen |
---|
Vyacheslav Voynov, Brady Skjei, Connor Carrick, Dillon Heatherington, Jake Dotchin |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | ||||||||||||
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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 | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
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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 | ||||||||
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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 |
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Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
Expenses | ||||
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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 |
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Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
Team Total Estimate | ||
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Estimated Season Expenses | Current Bank Account | Projected Bank Account |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2024 | |||||||
2025 | |||||||
2026 | |||||||
2027 | |||||||
2028 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 |