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 : Alexandre Brabant |
|
|
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 | Nick Paul | X | X | 100.00 | 90 | 38 | 82 | 79 | 87 | 84 | 84 | 79 | 75 | 74 | 74 | 75 | 73 | 82 | 76 | 5 | 50 | 0 | 0 | 28 | 2 | 2,500,000$ | |||
2 | Mathieu Olivier (R) | X | 100.00 | 97 | 52 | 72 | 79 | 91 | 82 | 86 | 78 | 65 | 74 | 73 | 75 | 69 | 82 | 91 | 6 | 50 | 0 | 0 | 26 | 3 | 1,100,000$ | ||||
3 | Barrett Hayton (R) | X | X | 100.00 | 83 | 30 | 74 | 80 | 77 | 83 | 78 | 84 | 76 | 78 | 77 | 73 | 78 | 80 | 84 | 8 | 50 | 0 | 0 | 23 | 1 | 1,500,000$ | |||
4 | Tanner Laczynski | X | 100.00 | 69 | 40 | 96 | 81 | 81 | 82 | 76 | 81 | 76 | 74 | 74 | 68 | 78 | 74 | 78 | 6 | 50 | 0 | 0 | 26 | 3 | 2,500,000$ | ||||
5 | Jordan Eberle | X | 100.00 | 63 | 25 | 99 | 88 | 73 | 87 | 86 | 92 | 62 | 79 | 75 | 69 | 92 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 3 | 4,000,000$ | ||||
6 | Marcus Johansson (A) | X | X | 100.00 | 66 | 33 | 98 | 84 | 78 | 85 | 86 | 82 | 81 | 78 | 73 | 68 | 82 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 5,500,000$ | |||
7 | Yakov Trenin | X | X | X | 100.00 | 73 | 35 | 84 | 82 | 85 | 85 | 82 | 81 | 74 | 74 | 74 | 68 | 73 | 79 | 78 | 6 | 50 | 0 | 0 | 26 | 1 | 1,500,000$ | ||
8 | J.T. Miller (A) | X | X | 100.00 | 88 | 48 | 82 | 84 | 81 | 86 | 87 | 83 | 78 | 78 | 75 | 70 | 77 | 98 | 99 | 1 | 50 | 0 | 0 | 30 | 4 | 4,500,000$ | |||
9 | Evgeny Kuznetsov | X | X | X | 100.00 | 65 | 30 | 88 | 86 | 80 | 87 | 86 | 89 | 77 | 79 | 76 | 64 | 89 | 98 | 93 | 1 | 50 | 0 | 0 | 31 | 2 | 7,500,000$ | ||
10 | Nick Ritchie | X | 100.00 | 93 | 45 | 81 | 79 | 89 | 86 | 81 | 82 | 65 | 77 | 76 | 72 | 75 | 79 | 78 | 6 | 50 | 0 | 0 | 28 | 3 | 3,000,000$ | ||||
11 | Victor Olofsson | X | X | 100.00 | 61 | 23 | 99 | 88 | 73 | 84 | 83 | 84 | 65 | 76 | 76 | 66 | 76 | 75 | 74 | 6 | 50 | 0 | 0 | 28 | 3 | 3,500,000$ | |||
12 | Marcus Davidsson | X | X | X | 100.00 | 70 | 30 | 91 | 86 | 81 | 86 | 83 | 81 | 73 | 73 | 73 | 72 | 72 | 74 | 73 | 6 | 50 | 0 | 0 | 25 | 2 | 1,250,000$ | ||
13 | J.J. Moser (R) | X | 100.00 | 73 | 40 | 82 | 80 | 81 | 82 | 81 | 80 | 55 | 77 | 65 | 86 | 71 | 72 | 84 | 7 | 50 | 0 | 0 | 23 | 3 | 950,000$ | ||||
14 | Andrew Peeke (R) | X | 100.00 | 76 | 35 | 84 | 79 | 83 | 83 | 78 | 79 | 50 | 75 | 67 | 87 | 59 | 75 | 78 | 7 | 50 | 0 | 0 | 25 | 1 | 875,000$ | ||||
15 | Andreas Englund | X | 100.00 | 88 | 42 | 81 | 79 | 82 | 78 | 77 | 81 | 52 | 75 | 69 | 88 | 64 | 80 | 77 | 6 | 50 | 0 | 0 | 27 | 3 | 4,000,000$ | ||||
16 | Jani Hakanpaa | X | 100.00 | 94 | 46 | 72 | 75 | 87 | 82 | 79 | 77 | 50 | 74 | 66 | 89 | 63 | 92 | 92 | 5 | 50 | 0 | 0 | 31 | 1 | 3,500,000$ | ||||
17 | Mac Weegar | X | 100.00 | 85 | 38 | 86 | 79 | 87 | 86 | 85 | 82 | 50 | 75 | 70 | 91 | 61 | 78 | 78 | 7 | 50 | 0 | 0 | 29 | 4 | 6,000,000$ | ||||
18 | Juuso Välimäki | X | 100.00 | 84 | 38 | 81 | 83 | 87 | 84 | 76 | 80 | 50 | 74 | 68 | 82 | 69 | 76 | 75 | 6 | 50 | 0 | 0 | 25 | 2 | 1,500,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Zach Sanford | X | X | X | 100.00 | 84 | 40 | 86 | 80 | 88 | 84 | 82 | 81 | 70 | 75 | 75 | 72 | 73 | 83 | 82 | 1 | 50 | 0 | 0 | 29 | 1 | 2,300,000$ | ||
2 | Mike Reilly | X | 100.00 | 80 | 35 | 83 | 87 | 79 | 81 | 79 | 87 | 50 | 76 | 71 | 83 | 70 | 78 | 79 | 7 | 50 | 0 | 0 | 30 | 2 | 3,000,000$ | ||||
3 | Yann Sauve | X | 100.00 | 79 | 41 | 91 | 75 | 83 | 76 | 72 | 78 | 51 | 73 | 64 | 88 | 60 | 98 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 4,575,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Joel L'Esperance | X | X | 100.00 | 83 | 46 | 80 | 78 | 82 | 79 | 75 | 78 | 74 | 72 | 74 | 66 | 75 | 77 | 75 | 5 | 50 | 0 | 0 | 28 | 1 | 950,000$ | |||
2 | Vadim Vasjonkin | X | 100.00 | 96 | 44 | 79 | 76 | 90 | 80 | 81 | 80 | 60 | 74 | 75 | 68 | 75 | 70 | 71 | 6 | 50 | 0 | 0 | 27 | 3 | 1,100,000$ | ||||
3 | Adam Mascherin (R) | X | 100.00 | 73 | 35 | 82 | 77 | 83 | 79 | 77 | 77 | 65 | 70 | 71 | 67 | 72 | 71 | 70 | 4 | 50 | 0 | 0 | 25 | 3 | 900,000$ | ||||
4 | Jeremy Bracco (R) | X | X | 100.00 | 60 | 25 | 97 | 83 | 69 | 85 | 78 | 79 | 63 | 71 | 69 | 64 | 72 | 72 | 70 | 5 | 50 | 0 | 0 | 26 | 3 | 1,000,000$ | |||
5 | Justin Auger | X | 100.00 | 95 | 47 | 77 | 75 | 90 | 85 | 84 | 79 | 69 | 74 | 75 | 71 | 72 | 85 | 84 | 1 | 50 | 0 | 0 | 29 | 1 | 2,000,000$ | ||||
6 | Brendan Warren (R) | X | 100.00 | 65 | 35 | 82 | 76 | 77 | 80 | 77 | 75 | 60 | 69 | 67 | 66 | 68 | 70 | 70 | 3 | 50 | 0 | 0 | 26 | 1 | 700,000$ | ||||
7 | Keegan Iverson | X | X | 100.00 | 85 | 46 | 78 | 77 | 86 | 82 | 76 | 76 | 73 | 70 | 70 | 66 | 68 | 72 | 73 | 3 | 50 | 0 | 0 | 27 | 2 | 900,000$ | |||
8 | Oskar Bäck (R) | X | 100.00 | 73 | 38 | 99 | 79 | 82 | 78 | 82 | 79 | 78 | 74 | 72 | 72 | 75 | 68 | 69 | 6 | 50 | 0 | 0 | 23 | 2 | 900,000$ | ||||
9 | Ryan Tesink | X | X | 100.00 | 89 | 43 | 81 | 78 | 80 | 79 | 78 | 78 | 77 | 72 | 71 | 72 | 74 | 85 | 88 | 1 | 50 | 0 | 0 | 30 | 2 | 1,000,000$ | |||
10 | Anders Lee | X | X | 100.00 | 80 | 38 | 83 | 76 | 83 | 83 | 85 | 81 | 76 | 74 | 75 | 68 | 78 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 1,000,000$ | |||
11 | Nikita Scherbak | X | X | 100.00 | 82 | 33 | 85 | 84 | 80 | 85 | 81 | 82 | 62 | 75 | 74 | 65 | 77 | 76 | 71 | 6 | 50 | 0 | 0 | 28 | 1 | 1,000,000$ | |||
12 | Sam Miletic (R) | X | 100.00 | 68 | 33 | 91 | 80 | 79 | 83 | 79 | 79 | 67 | 72 | 73 | 68 | 72 | 65 | 65 | 5 | 50 | 0 | 0 | 26 | 3 | 1,000,000$ | ||||
13 | Christoph Bertschy | X | X | X | 100.00 | 72 | 35 | 88 | 80 | 74 | 82 | 79 | 78 | 74 | 72 | 71 | 68 | 70 | 69 | 69 | 1 | 50 | 0 | 0 | 29 | 1 | 1,000,000$ | ||
14 | Christian Djoos | X | 100.00 | 71 | 26 | 94 | 80 | 74 | 82 | 75 | 79 | 50 | 73 | 67 | 87 | 67 | 77 | 84 | 5 | 50 | 0 | 0 | 29 | 1 | 1,000,000$ | ||||
15 | Niklas Hjalmarsson | X | 100.00 | 74 | 38 | 83 | 75 | 81 | 82 | 81 | 74 | 50 | 76 | 63 | 88 | 63 | 99 | 99 | 1 | 50 | 0 | 0 | 36 | 1 | 1,800,000$ | ||||
16 | Jacob Middleton | X | 100.00 | 86 | 47 | 75 | 75 | 86 | 76 | 75 | 77 | 50 | 72 | 62 | 87 | 59 | 86 | 87 | 6 | 50 | 0 | 0 | 27 | 1 | 1,300,000$ | ||||
17 | Xavier Bernard (R) | X | 100.00 | 76 | 45 | 80 | 74 | 81 | 80 | 80 | 72 | 52 | 69 | 60 | 81 | 60 | 64 | 63 | 5 | 50 | 0 | 0 | 23 | 2 | 750,000$ | ||||
18 | Karlis Cukste (R) | X | 100.00 | 94 | 47 | 73 | 77 | 89 | 82 | 82 | 76 | 50 | 73 | 65 | 87 | 63 | 71 | 70 | 6 | 50 | 0 | 0 | 26 | 1 | 1,800,000$ | ||||
19 | Kyle Capobianco (R) | X | 100.00 | 75 | 35 | 86 | 82 | 80 | 80 | 77 | 82 | 50 | 74 | 67 | 84 | 64 | 71 | 71 | 6 | 50 | 0 | 0 | 26 | 3 | 1,200,000$ | ||||
20 | Gustav Olofsson | X | 100.00 | 77 | 32 | 85 | 78 | 85 | 78 | 71 | 78 | 50 | 71 | 67 | 89 | 62 | 75 | 75 | 6 | 50 | 0 | 0 | 29 | 1 | 1,500,000$ | ||||
21 | Brett Budgell (R) | X | 100.00 | 61 | 47 | 86 | 75 | 76 | 80 | 79 | 75 | 63 | 69 | 67 | 66 | 72 | 62 | 68 | 5 | 50 | 0 | 0 | 22 | 1 | 900,000$ | ||||
22 | Ivan Morozov | X | 100.00 | 72 | 45 | 81 | 79 | 78 | 83 | 82 | 78 | 75 | 74 | 73 | 68 | 81 | 70 | 68 | 7 | 50 | 0 | 0 | 23 | 2 | 900,000$ | ||||
TEAM AVERAGE | 100.00 | 79 | 37 | 85 | 82 | 83 | 83 | 81 | 82 | 64 | 76 | 72 | 76 | 73 | 83 | 84 | 5 | 50 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
# | 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 | Philipp Grubauer | 100.00 | 88 | 84 | 83 | 84 | 93 | 91 | 92 | 91 | 91 | 90 | 88 | 81 | 83 | 8 | 50 | 0 | 0 | 32 | 3 | 6,000,000$ | |
2 | Colton Point (R) | 100.00 | 88 | 89 | 88 | 93 | 91 | 87 | 87 | 88 | 88 | 89 | 88 | 67 | 67 | 8 | 50 | 0 | 0 | 25 | 1 | 1,500,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Mitchell Gibson (R) | 100.00 | 85 | 82 | 82 | 82 | 82 | 81 | 81 | 81 | 81 | 82 | 82 | 61 | 61 | 6 | 50 | 0 | 0 | 24 | 2 | 800,000$ | |
2 | Matej Tomek (R) | 100.00 | 83 | 81 | 83 | 85 | 84 | 82 | 81 | 82 | 82 | 83 | 81 | 57 | 56 | 4 | 50 | 0 | 0 | 26 | 3 | 1,300,000$ | |
TEAM AVERAGE | 100.00 | 88 | 87 | 86 | 89 | 92 | 89 | 90 | 90 | 90 | 90 | 88 | 74 | 75 | 8 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Sheldon Keefe | 81 | 82 | 85 | 83 | 80 | 80 | 70 | CAN | 43 | 3 | 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 | |||||||||||||
Barrett Hayton | C/LW | 23 | 1999-01-02 09:04:36 | TW | 1 | 1.72% | 1,500,000$ | RFA ( Groupe: 2 ) [Age: 24] | |||||
Evgeny Kuznetsov | C/LW/RW | 31 | 1991-01-22 14:33:54 | TW | 2 | 8.62% | 7,500,000$ | 7,500,000$ | UFA [Age: 33] | ||||
J.T. Miller | C/LW | 30 | 1992-01-22 09:41:51 | NT TW | 4 | 5.17% | 4,500,000$ | 4,500,000$ | 4,500,000$ | 4,500,000$ | UFA [Age: 34] | ||
Jordan Eberle | RW | 33 | 1989-01-22 12:29:38 | NT TW | 3 | 4.60% | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA [Age: 36] | |||
Marcus Davidsson | C/LW/RW | 25 | 1997-01-22 07:48:02 | TW | 2 | 1.44% | 1,250,000$ | 1,250,000$ | RFA ( Groupe: 2 ) [Age: 27] | ||||
Marcus Johansson | C/LW | 33 | 1989-01-22 12:29:38 | TW | 1 | 6.32% | 5,500,000$ | UFA [Age: 34] | |||||
Mathieu Olivier | RW | 26 | 1996-01-22 01:54:36 | TW | 3 | 1.26% | 1,100,000$ | 1,100,000$ | 1,100,000$ | UFA [Age: 29] | |||
Nick Paul | C/LW | 28 | 1994-01-22 07:57:31 | NT TW | 2 | 2.87% | 2,500,000$ | 2,500,000$ | UFA [Age: 30] | ||||
Nick Ritchie | LW | 28 | 1994-01-22 05:42:44 | NT TW | 3 | 3.45% | 3,000,000$ | 3,000,000$ | 3,000,000$ | UFA [Age: 31] | |||
Tanner Laczynski | C | 26 | 1996-01-02 12:06:56 | NT TW | 3 | 2.87% | 2,500,000$ | 2,500,000$ | 2,500,000$ | UFA [Age: 29] | |||
Victor Olofsson | LW/RW | 28 | 1994-01-22 05:02:42 | NT TW | 3 | 4.02% | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA [Age: 31] | |||
Yakov Trenin | C/LW/RW | 26 | 1996-01-02 02:16:55 | TW | 1 | 1.72% | 1,500,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Zach Sanford | C/LW/RW | 29 | 1993-01-22 02:26:23 | TW | 1 | 2.64% | 2,300,000$ | UFA [Age: 30] | |||||
AVERAGE (13) | 28.15 | 46.72% | 40,650,000$ | 29,850,000$ | 18,600,000$ | 4,500,000$ | 0$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Andreas Englund | D | 27 | 1995-01-22 04:21:05 | TW | 3 | 4.60% | 4,000,000$ | 4,000,000$ | 4,000,000$ | UFA [Age: 30] | |||
Andrew Peeke | D | 25 | 1997-01-02 00:46:38 | TW | 1 | 1.01% | 875,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
J.J. Moser | D | 23 | 1999-01-02 08:38:33 | TW | 3 | 1.09% | 950,000$ | 950,000$ | 950,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||
Jani Hakanpaa | D | 31 | 1991-01-22 19:55:51 | TW | 1 | 4.02% | 3,500,000$ | UFA [Age: 32] | |||||
Juuso Välimäki | D | 25 | 1997-01-22 09:08:44 | TW | 2 | 1.72% | 1,500,000$ | 1,500,000$ | RFA ( Groupe: 2 ) [Age: 27] | ||||
Mac Weegar | D | 29 | 1993-01-22 06:37:39 | NT TW | 4 | 6.90% | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA [Age: 33] | ||
Mike Reilly | D | 30 | 1992-01-22 05:30:13 | TW | 2 | 3.45% | 3,000,000$ | 3,000,000$ | UFA [Age: 32] | ||||
Yann Sauve | D | 33 | 1989-01-22 12:29:38 | TW | 1 | 5.26% | 4,575,000$ | UFA [Age: 34] | |||||
AVERAGE (8) | 27.88 | 28.05% | 24,400,000$ | 15,450,000$ | 10,950,000$ | 6,000,000$ | 0$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
Colton Point | G | 25 | 1997-01-22 08:49:30 | TW | 1 | 1.72% | 1,500,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Philipp Grubauer | G | 32 | 1990-01-22 02:27:36 | TW | 3 | 6.90% | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA [Age: 35] | |||
AVERAGE (2) | 28.50 | 8.62% | 7,500,000$ | 6,000,000$ | 6,000,000$ | 0$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | 5,000,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (23) | 89.14% | 77,550,000$ | 51,300,000$ | 35,550,000$ | 10,500,000$ | 0$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Kuznetsov
0
|
Hayton
0
|
Eberle
67
| |||||
Miller
0
|
Laczynski
0
|
Olofsson
0
| |||||
Ritchie
0
|
Paul
0
|
Trenin
94
| |||||
Olivier
11
|
Johansson
0
|
Davidsson
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Peeke
0
|
Weegar
0
| ||||||
Englund
39
|
Moser
0
| ||||||
Välimäki
0
|
Hakanpaa
2
| ||||||
Moser
0
|
Weegar
0
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Miller
0
|
Hayton
0
|
Eberle
67
| |||||
Olofsson
0
|
Laczynski
0
|
Kuznetsov
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Peeke
0
|
Weegar
0
| ||||||
Englund
39
|
Moser
0
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Paul
0
|
Ritchie
0
| |||||
Miller
0
|
Davidsson
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Englund
39
|
Weegar
0
| |||||
Moser
0
|
Hakanpaa
2
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Ritchie
0
|
Moser
0
|
Weegar
0
| |||||||||
Paul
0
|
Englund
39
|
Hakanpaa
2
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Miller
0
|
Kuznetsov
0
| |||||
Hayton
0
|
Eberle
67
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Weegar
0
|
Moser
0
| |||||
Hakanpaa
2
|
Englund
39
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
J.T. Miller | Barrett Hayton | Evgeny Kuznetsov | Andreas Englund | Mac Weegar |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nick Paul | Barrett Hayton | Jordan Eberle | Mac Weegar | Jani Hakanpaa |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
J.T. Miller, Jordan Eberle, Evgeny Kuznetsov | J.T. Miller, Barrett Hayton | J.T. Miller |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mac Weegar, Andreas Englund, J.J. Moser | Mac Weegar | Andreas Englund, J.J. Moser |
Penalty Shots |
---|
Jordan Eberle, Evgeny Kuznetsov, Victor Olofsson, J.T. Miller, Barrett Hayton |
Goalie |
---|
#1 : Colton Point, #2 : Philipp Grubauer |
Custom OT Lines Forwards |
---|
Barrett Hayton, Evgeny Kuznetsov, Tanner Laczynski, J.T. Miller, Victor Olofsson, Jordan Eberle, Jordan Eberle, Nick Paul, Marcus Davidsson, Mathieu Olivier, Nick Ritchie |
Custom OT Lines Defensemen |
---|
Andreas Englund, Mac Weegar, J.J. Moser, Andrew Peeke, Jani Hakanpaa |
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 |