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 : Sébastien Tremblay |
|
|
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 | Brayden Schenn (A) | X | X | X | 100.00 | 85 | 45 | 88 | 78 | 82 | 82 | 82 | 82 | 77 | 78 | 74 | 68 | 80 | 99 | 98 | 1 | 50 | 0 | 0 | 32 | 2 | 7,000,000$ | ||
2 | Justin Danforth | X | X | 100.00 | 83 | 25 | 80 | 81 | 74 | 82 | 67 | 83 | 71 | 75 | 76 | 66 | 84 | 75 | 80 | 1 | 50 | 0 | 0 | 30 | 1 | 2,500,000$ | |||
3 | Joakim Nordstrom | X | X | 100.00 | 65 | 35 | 95 | 80 | 77 | 81 | 79 | 78 | 75 | 72 | 70 | 75 | 72 | 92 | 86 | 1 | 50 | 0 | 0 | 31 | 2 | 1,800,000$ | |||
4 | Mikko Rantanen (C) | X | X | X | 100.00 | 84 | 35 | 82 | 87 | 89 | 86 | 84 | 92 | 79 | 85 | 83 | 70 | 84 | 90 | 91 | 9 | 50 | 0 | 0 | 27 | 5 | 9,000,000$ | ||
5 | Sebastian Aho | X | X | X | 100.00 | 78 | 29 | 86 | 90 | 76 | 86 | 83 | 91 | 75 | 87 | 82 | 68 | 80 | 89 | 89 | 9 | 50 | 0 | 0 | 26 | 5 | 9,000,000$ | ||
6 | Lean Bergmann (R) | X | X | X | 100.00 | 89 | 49 | 75 | 77 | 86 | 81 | 83 | 77 | 75 | 73 | 71 | 75 | 71 | 76 | 74 | 6 | 50 | 0 | 0 | 25 | 4 | 1,500,000$ | ||
7 | Mason Marchment | X | 100.00 | 94 | 47 | 76 | 79 | 88 | 80 | 81 | 78 | 64 | 75 | 74 | 71 | 70 | 77 | 80 | 6 | 50 | 0 | 0 | 28 | 3 | 1,850,000$ | ||||
8 | Emerson Etem | X | X | 100.00 | 91 | 47 | 80 | 80 | 88 | 92 | 90 | 82 | 77 | 75 | 75 | 72 | 79 | 99 | 99 | 1 | 50 | 0 | 0 | 31 | 1 | 2,700,000$ | |||
9 | Mikael Granlund | X | X | X | 100.00 | 62 | 23 | 94 | 87 | 78 | 87 | 87 | 84 | 82 | 80 | 76 | 66 | 81 | 99 | 99 | 1 | 50 | 0 | 0 | 31 | 6 | 6,500,000$ | ||
10 | Chandler Stephenson | X | X | X | 100.00 | 77 | 30 | 90 | 86 | 81 | 82 | 80 | 80 | 74 | 74 | 73 | 76 | 72 | 79 | 78 | 1 | 50 | 0 | 0 | 29 | 4 | 3,500,000$ | ||
11 | Joachim Nermark | X | 100.00 | 73 | 25 | 95 | 86 | 81 | 83 | 81 | 79 | 76 | 74 | 74 | 76 | 73 | 90 | 88 | 1 | 50 | 0 | 0 | 30 | 1 | 2,500,000$ | ||||
12 | Olli Juolevi (R) | X | 100.00 | 83 | 43 | 82 | 81 | 80 | 83 | 84 | 81 | 50 | 76 | 65 | 82 | 66 | 73 | 65 | 6 | 50 | 0 | 0 | 25 | 1 | 1,750,000$ | ||||
13 | Mikko Lehtonen | X | 100.00 | 76 | 35 | 87 | 79 | 76 | 83 | 81 | 81 | 50 | 74 | 71 | 86 | 71 | 81 | 87 | 6 | 50 | 0 | 0 | 29 | 1 | 2,200,000$ | ||||
14 | Justin Holl | X | X | 100.00 | 78 | 46 | 82 | 79 | 75 | 78 | 76 | 78 | 62 | 72 | 70 | 85 | 68 | 83 | 82 | 5 | 50 | 0 | 0 | 31 | 2 | 1,000,000$ | |||
15 | Petteri Lindbohm | X | 100.00 | 91 | 40 | 74 | 77 | 84 | 79 | 77 | 81 | 50 | 76 | 66 | 89 | 70 | 93 | 93 | 6 | 50 | 0 | 0 | 30 | 2 | 3,000,000$ | ||||
16 | T.J. Brennan | X | 100.00 | 81 | 45 | 78 | 75 | 77 | 78 | 74 | 79 | 52 | 76 | 73 | 84 | 71 | 99 | 99 | 1 | 50 | 0 | 0 | 34 | 2 | 5,600,000$ | ||||
17 | Morgan Rielly (A) | X | 100.00 | 88 | 38 | 81 | 88 | 85 | 88 | 82 | 88 | 52 | 83 | 74 | 85 | 70 | 97 | 97 | 8 | 50 | 0 | 0 | 29 | 2 | 6,750,000$ | ||||
18 | Sebastian Aho (D) | X | 100.00 | 78 | 40 | 80 | 81 | 78 | 84 | 78 | 79 | 50 | 75 | 69 | 86 | 65 | 76 | 74 | 6 | 50 | 0 | 0 | 27 | 1 | 2,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Dominic Turgeon | X | 100.00 | 80 | 35 | 88 | 79 | 85 | 83 | 78 | 80 | 76 | 73 | 72 | 74 | 71 | 70 | 71 | 5 | 50 | 0 | 0 | 27 | 2 | 1,950,000$ | ||||
2 | Ville Pokka | X | 100.00 | 72 | 29 | 85 | 87 | 82 | 86 | 83 | 85 | 51 | 79 | 73 | 86 | 60 | 98 | 97 | 7 | 50 | 0 | 0 | 29 | 4 | 5,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Justin Kea | X | X | 100.00 | 95 | 42 | 77 | 76 | 90 | 84 | 83 | 78 | 75 | 74 | 72 | 74 | 75 | 80 | 80 | 1 | 50 | 0 | 0 | 29 | 2 | 1,000,000$ | |||
2 | Vinni Lettieri | X | X | 100.00 | 82 | 38 | 82 | 79 | 78 | 84 | 83 | 79 | 72 | 73 | 74 | 69 | 73 | 78 | 72 | 5 | 50 | 0 | 0 | 28 | 1 | 800,000$ | |||
3 | Otto Somppi (R) | X | 100.00 | 69 | 35 | 82 | 77 | 80 | 85 | 80 | 78 | 75 | 72 | 72 | 71 | 70 | 73 | 77 | 6 | 50 | 0 | 0 | 25 | 2 | 1,400,000$ | ||||
4 | Teemu Turunen | X | X | 100.00 | 62 | 28 | 91 | 82 | 74 | 83 | 81 | 81 | 68 | 74 | 72 | 66 | 73 | 74 | 74 | 5 | 50 | 0 | 0 | 28 | 1 | 1,300,000$ | |||
5 | Steven Lorentz | X | X | 100.00 | 84 | 45 | 81 | 79 | 88 | 80 | 84 | 80 | 78 | 73 | 73 | 73 | 71 | 83 | 69 | 5 | 50 | 0 | 0 | 27 | 2 | 1,500,000$ | |||
6 | Aleksi Saarela (R) | X | 100.00 | 62 | 23 | 99 | 89 | 72 | 79 | 77 | 78 | 75 | 73 | 73 | 65 | 74 | 71 | 71 | 5 | 50 | 0 | 0 | 26 | 1 | 1,300,000$ | ||||
7 | Zack MacEwen | X | X | 100.00 | 85 | 48 | 76 | 79 | 85 | 78 | 73 | 78 | 74 | 73 | 74 | 70 | 72 | 84 | 79 | 5 | 50 | 0 | 0 | 27 | 3 | 1,100,000$ | |||
8 | Anton Levtchi | X | 100.00 | 78 | 30 | 72 | 77 | 80 | 82 | 78 | 78 | 73 | 73 | 73 | 67 | 87 | 73 | 73 | 1 | 50 | 0 | 0 | 28 | 3 | 1,500,000$ | ||||
9 | Juuso Ikonen | X | 100.00 | 56 | 22 | 99 | 86 | 73 | 83 | 83 | 79 | 67 | 75 | 72 | 66 | 74 | 72 | 72 | 5 | 50 | 0 | 0 | 28 | 2 | 1,700,000$ | ||||
10 | Vladislav Kotkov (R) | X | X | 100.00 | 67 | 37 | 89 | 75 | 80 | 79 | 74 | 76 | 67 | 70 | 69 | 66 | 73 | 64 | 66 | 5 | 50 | 0 | 0 | 23 | 1 | 850,000$ | |||
11 | Markus Granlund | X | X | 100.00 | 63 | 30 | 95 | 86 | 75 | 81 | 76 | 78 | 75 | 73 | 74 | 68 | 76 | 90 | 91 | 1 | 50 | 0 | 0 | 30 | 1 | 800,000$ | |||
12 | Petrus Palmu (R) | X | X | 100.00 | 78 | 35 | 88 | 86 | 70 | 87 | 86 | 81 | 60 | 72 | 73 | 67 | 75 | 66 | 64 | 5 | 50 | 0 | 0 | 26 | 2 | 1,400,000$ | |||
13 | Oliwer Kaski | X | 100.00 | 66 | 30 | 91 | 79 | 82 | 85 | 85 | 81 | 50 | 76 | 73 | 83 | 71 | 75 | 74 | 6 | 50 | 0 | 0 | 28 | 1 | 1,300,000$ | ||||
14 | Ben Chiarot | X | 100.00 | 92 | 47 | 78 | 71 | 85 | 77 | 74 | 75 | 50 | 72 | 64 | 91 | 62 | 88 | 90 | 1 | 50 | 0 | 0 | 32 | 1 | 850,000$ | ||||
15 | Lassi Thomson (R) | X | 100.00 | 81 | 35 | 83 | 78 | 81 | 82 | 80 | 78 | 50 | 74 | 72 | 84 | 68 | 70 | 75 | 7 | 50 | 0 | 0 | 23 | 1 | 950,000$ | ||||
16 | Joni Jurmo (R) | X | 100.00 | 81 | 45 | 78 | 75 | 79 | 83 | 83 | 76 | 50 | 70 | 64 | 84 | 60 | 65 | 65 | 6 | 50 | 0 | 0 | 21 | 1 | 850,000$ | ||||
17 | Jyrki Jokipakka | X | 100.00 | 80 | 43 | 84 | 74 | 85 | 78 | 73 | 76 | 50 | 71 | 66 | 89 | 60 | 83 | 83 | 1 | 50 | 0 | 0 | 32 | 2 | 900,000$ | ||||
18 | Eetu Sopanen | X | 100.00 | 90 | 43 | 77 | 76 | 87 | 81 | 71 | 77 | 51 | 72 | 65 | 87 | 58 | 74 | 75 | 5 | 50 | 0 | 0 | 27 | 1 | 1,000,000$ | ||||
19 | Kay Schweri | X | X | 100.00 | 57 | 25 | 95 | 85 | 70 | 78 | 73 | 80 | 69 | 68 | 69 | 66 | 72 | 64 | 66 | 2 | 50 | 0 | 0 | 27 | 1 | 900,000$ | |||
20 | Olivier Galipeau (R) | X | 100.00 | 81 | 43 | 88 | 76 | 81 | 84 | 80 | 76 | 50 | 71 | 63 | 83 | 63 | 71 | 80 | 5 | 50 | 0 | 0 | 26 | 1 | 850,000$ | ||||
TEAM AVERAGE | 100.00 | 80 | 37 | 84 | 82 | 81 | 83 | 81 | 82 | 66 | 77 | 73 | 77 | 73 | 87 | 86 | 4 | 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 | Anthony Stolarz | 100.00 | 87 | 85 | 86 | 90 | 93 | 89 | 90 | 89 | 90 | 91 | 85 | 83 | 86 | 8 | 50 | 0 | 0 | 29 | 3 | 1,900,000$ | |
2 | Cal Petersen | 100.00 | 90 | 87 | 86 | 84 | 93 | 90 | 91 | 92 | 90 | 92 | 88 | 80 | 78 | 8 | 50 | 0 | 0 | 29 | 2 | 4,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Christopher Gibson | 100.00 | 86 | 81 | 84 | 84 | 92 | 88 | 87 | 85 | 86 | 86 | 85 | 82 | 89 | 6 | 50 | 0 | 0 | 31 | 1 | 875,000$ | |
2 | Veini Vehvilainen (R) | 100.00 | 91 | 82 | 87 | 81 | 91 | 87 | 87 | 88 | 87 | 87 | 84 | 67 | 67 | 8 | 50 | 0 | 0 | 26 | 1 | 1,500,000$ | |
TEAM AVERAGE | 100.00 | 89 | 86 | 86 | 87 | 93 | 90 | 91 | 91 | 90 | 92 | 87 | 82 | 82 | 8 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Mike Babcock | 82 | 85 | 84 | 82 | 93 | 80 | 70 | CAN | 61 | 2 | 2,500,000$ |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | |||||||||||||
Brayden Schenn | C/LW/RW | 32 | 1990-01-22 18:29:38 | TW | 2 | 8.05% | 7,000,000$ | 7,000,000$ | UFA [Age: 34] | ||||
Chandler Stephenson | C/LW/RW | 29 | 1993-01-22 12:19:07 | NT TW | 4 | 4.02% | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA [Age: 33] | ||
Dominic Turgeon | C | 27 | 1995-01-22 10:48:21 | TW | 2 | 2.24% | 1,950,000$ | 1,950,000$ | UFA [Age: 29] | ||||
Emerson Etem | LW/RW | 31 | 1991-01-22 13:58:02 | TW | 1 | 3.10% | 2,700,000$ | UFA [Age: 32] | |||||
Joachim Nermark | C | 30 | 1992-01-22 07:20:07 | TW | 1 | 2.87% | 2,500,000$ | UFA [Age: 31] | |||||
Joakim Nordstrom | C/LW | 31 | 1991-01-22 03:49:03 | NT TW | 2 | 2.07% | 1,800,000$ | 1,800,000$ | UFA [Age: 33] | ||||
Justin Danforth | C/RW | 30 | 1992-01-02 12:17:41 | TW | 1 | 2.87% | 2,500,000$ | UFA [Age: 31] | |||||
Lean Bergmann | C/LW/RW | 25 | 1997-01-02 00:27:27 | TW | 4 | 1.72% | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | UFA [Age: 29] | ||
Mason Marchment | LW | 28 | 1994-01-22 01:09:03 | NT TW | 3 | 2.13% | 1,850,000$ | 1,850,000$ | 1,850,000$ | UFA [Age: 31] | |||
Mikael Granlund | C/LW/RW | 31 | 1991-01-22 11:37:04 | TW | 6 | 7.47% | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | 6,500,000$ | UFA [Age: 37] |
Mikko Rantanen | C/LW/RW | 27 | 1995-01-22 03:55:07 | TW | 5 | 10.34% | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA [Age: 32] | |
Sebastian Aho | C/LW/RW | 26 | 1996-01-22 04:02:47 | NT TW | 5 | 10.34% | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | 9,000,000$ | UFA [Age: 31] | |
AVERAGE (12) | 28.92 | 57.24% | 49,800,000$ | 42,100,000$ | 31,350,000$ | 29,500,000$ | 24,500,000$ | 6,500,000$ | 0$ | ||||
Defenseman | |||||||||||||
Justin Holl | RW/D | 31 | 1991-01-22 12:30:59 | TW | 2 | 1.15% | 1,000,000$ | 1,000,000$ | UFA [Age: 33] | ||||
Mikko Lehtonen | D | 29 | 1993-01-02 04:12:10 | TW | 1 | 2.53% | 2,200,000$ | UFA [Age: 30] | |||||
Morgan Rielly | D | 29 | 1993-01-22 18:54:05 | TW | 2 | 7.76% | 6,750,000$ | 6,750,000$ | UFA [Age: 31] | ||||
Olli Juolevi | D | 25 | 1997-01-02 03:19:51 | TW | 1 | 2.01% | 1,750,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Petteri Lindbohm | D | 30 | 1992-01-22 13:44:34 | TW | 2 | 3.45% | 3,000,000$ | 3,000,000$ | UFA [Age: 32] | ||||
Sebastian Aho (D) | D | 27 | 1995-01-22 07:59:41 | TW | 1 | 2.30% | 2,000,000$ | UFA [Age: 28] | |||||
T.J. Brennan | D | 34 | 1988-01-22 05:42:21 | TW | 2 | 6.44% | 5,600,000$ | 5,600,000$ | UFA [Age: 36] | ||||
Ville Pokka | D | 29 | 1993-01-22 19:03:56 | TW | 4 | 5.75% | 5,000,000$ | 5,000,000$ | 5,000,000$ | 5,000,000$ | UFA [Age: 33] | ||
AVERAGE (8) | 29.25 | 31.38% | 27,300,000$ | 21,350,000$ | 5,000,000$ | 5,000,000$ | 0$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
Anthony Stolarz | G | 29 | 1993-01-22 05:39:42 | NT TW | 3 | 2.18% | 1,900,000$ | 1,900,000$ | 1,900,000$ | UFA [Age: 32] | |||
Cal Petersen | G | 29 | 1993-01-02 09:56:11 | TW | 2 | 5.17% | 4,500,000$ | 4,500,000$ | UFA [Age: 31] | ||||
AVERAGE (2) | 29.00 | 7.36% | 6,400,000$ | 6,400,000$ | 1,900,000$ | 0$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | 500,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (22) | 96.55% | 84,000,000$ | 69,850,000$ | 38,250,000$ | 34,500,000$ | 24,500,000$ | 6,500,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Aho
20
|
Schenn
0
|
Rantanen
96
| |||||
Etem
26
|
Granlund
64
|
Danforth
0
| |||||
Marchment
0
|
Nermark
0
|
Stephenson
0
| |||||
Bergmann
0
|
Nordstrom
0
|
Holl
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Aho (D)
0
|
Rielly
44
| ||||||
Brennan
39
|
Lehtonen
43
| ||||||
Lindbohm
48
|
Juolevi
4
| ||||||
Aho (D)
0
|
Rielly
44
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Nermark
0
|
Granlund
64
|
Rantanen
96
| |||||
Etem
26
|
Schenn
0
|
Danforth
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Rielly
44
|
Juolevi
4
| ||||||
Aho (D)
0
|
Brennan
39
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Nermark
0
|
Rantanen
96
| |||||
Etem
26
|
Holl
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Lehtonen
43
|
Lindbohm
48
| |||||
Brennan
39
|
Rielly
44
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Nermark
0
|
Lehtonen
43
|
Lindbohm
48
| |||||||||
Rantanen
96
|
Brennan
39
|
Rielly
44
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Rantanen
96
|
Holl
0
| |||||
Nermark
0
|
Etem
26
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Aho (D)
0
|
Lehtonen
43
| |||||
Juolevi
4
|
Brennan
39
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Emerson Etem | Mikael Granlund | Mikko Rantanen | T.J. Brennan | Morgan Rielly |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Mikko Rantanen | Joachim Nermark | Justin Holl | Petteri Lindbohm | Mikko Lehtonen |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mikko Rantanen, Justin Danforth, Emerson Etem | Joachim Nermark, Mikko Rantanen | Justin Holl |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Justin Holl, Sebastian Aho (D), Olli Juolevi | Olli Juolevi | Sebastian Aho (D), Justin Holl |
Penalty Shots |
---|
Mikko Rantanen, Justin Holl, Mikael Granlund, Joachim Nermark, Emerson Etem |
Goalie |
---|
#1 : Cal Petersen, #2 : Anthony Stolarz |
Custom OT Lines Forwards |
---|
Mikko Rantanen, Justin Holl, Mikael Granlund, Brayden Schenn, Emerson Etem, Justin Danforth, Justin Danforth, Joakim Nordstrom, Chandler Stephenson, Joachim Nermark, Sebastian Aho |
Custom OT Lines Defensemen |
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Morgan Rielly, Olli Juolevi, Sebastian Aho (D), Justin Holl, T.J. Brennan |
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 |
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 |
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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 |
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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 | |||||
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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 |
---|---|---|
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 |