Day : 17 |
NYR - 1 |
OTT - 2 |
QUE - 4 |
CLB - 3 |
LAV - 3 |
BBA - 4 |
BNG - 1 |
TRL - 4 |
Day : 18 |
(4-2-0) - L1 |
(5-3-0) - W2 |
(4-1-0) - OTL1 |
(5-2-0) - W4 |
(4-2-0) - L1 |
(4-3-0) - W2 |
(4-4-0) - L1 |
(4-1-0) - W2 |
GP: 0 | W: 0 | L: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Benjamin Girouard |
|
|
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 | Owen Tippett (R) | X | X | 100.00 | 84 | 35 | 91 | 86 | 84 | 84 | 80 | 85 | 65 | 79 | 79 | 70 | 81 | 80 | 78 | 8 | 50 | 0 | 0 | 24 | 1 | 1,750,000$ | |||
2 | Paul Stastny | X | 100.00 | 68 | 35 | 86 | 73 | 74 | 77 | 75 | 81 | 84 | 74 | 71 | 67 | 81 | 99 | 99 | 1 | 50 | 0 | 0 | 38 | 1 | 2,250,000$ | ||||
3 | Max Jones | X | X | 100.00 | 92 | 45 | 82 | 83 | 89 | 83 | 83 | 83 | 69 | 77 | 77 | 76 | 73 | 84 | 84 | 7 | 50 | 0 | 0 | 25 | 1 | 925,000$ | |||
4 | Theodor Blueger | X | X | X | 100.00 | 78 | 35 | 89 | 86 | 76 | 85 | 83 | 83 | 79 | 77 | 75 | 67 | 77 | 97 | 97 | 1 | 50 | 0 | 0 | 29 | 1 | 3,000,000$ | ||
5 | Valeri Nichushkin | X | X | 100.00 | 88 | 32 | 79 | 88 | 86 | 87 | 84 | 89 | 65 | 84 | 79 | 71 | 82 | 93 | 87 | 8 | 50 | 0 | 0 | 28 | 1 | 5,500,000$ | |||
6 | William Karlsson (A) | X | X | 100.00 | 60 | 30 | 99 | 86 | 76 | 87 | 88 | 86 | 79 | 80 | 80 | 67 | 87 | 98 | 94 | 1 | 50 | 0 | 0 | 30 | 5 | 6,000,000$ | |||
7 | Curtis Lazar (A) | X | X | X | 100.00 | 94 | 47 | 77 | 83 | 87 | 87 | 85 | 85 | 75 | 80 | 77 | 74 | 74 | 94 | 96 | 7 | 50 | 0 | 0 | 28 | 2 | 4,000,000$ | ||
8 | Joel Eriksson Ek | X | X | X | 100.00 | 84 | 33 | 89 | 86 | 82 | 83 | 76 | 83 | 78 | 77 | 75 | 73 | 72 | 79 | 78 | 6 | 50 | 0 | 0 | 26 | 1 | 1,200,000$ | ||
9 | Lawson Crouse | X | X | 100.00 | 95 | 45 | 77 | 81 | 90 | 86 | 86 | 81 | 76 | 77 | 75 | 72 | 73 | 82 | 86 | 6 | 50 | 0 | 0 | 26 | 1 | 2,500,000$ | |||
10 | Jesper Bratt | X | X | 100.00 | 71 | 33 | 90 | 91 | 76 | 85 | 82 | 89 | 63 | 80 | 80 | 67 | 78 | 79 | 78 | 8 | 50 | 0 | 0 | 25 | 1 | 4,850,000$ | |||
11 | Daniel Sprong | X | X | 100.00 | 69 | 33 | 89 | 87 | 81 | 87 | 83 | 85 | 60 | 76 | 77 | 67 | 79 | 76 | 75 | 7 | 50 | 0 | 0 | 26 | 5 | 4,400,000$ | |||
12 | Trey Fix-Wolansky | X | 100.00 | 80 | 40 | 82 | 83 | 84 | 84 | 82 | 80 | 60 | 75 | 72 | 67 | 75 | 75 | 76 | 6 | 50 | 0 | 0 | 24 | 2 | 2,500,000$ | ||||
13 | Sean Durzi | X | 100.00 | 79 | 40 | 80 | 81 | 79 | 83 | 76 | 82 | 50 | 77 | 70 | 84 | 67 | 76 | 78 | 6 | 50 | 0 | 0 | 25 | 1 | 2,500,000$ | ||||
14 | Matt Roy | X | 100.00 | 85 | 40 | 77 | 80 | 87 | 85 | 87 | 80 | 50 | 75 | 67 | 89 | 64 | 85 | 84 | 6 | 50 | 0 | 0 | 28 | 3 | 2,400,000$ | ||||
15 | Tyler Myers | X | 100.00 | 97 | 48 | 71 | 75 | 92 | 88 | 88 | 83 | 50 | 81 | 77 | 90 | 76 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 7,500,000$ | ||||
16 | Darren Dietz | X | 100.00 | 92 | 45 | 74 | 78 | 88 | 81 | 82 | 81 | 50 | 76 | 70 | 87 | 62 | 99 | 99 | 1 | 50 | 0 | 0 | 30 | 2 | 2,750,000$ | ||||
17 | Eric Gelinas | X | 100.00 | 89 | 45 | 75 | 76 | 79 | 80 | 78 | 81 | 50 | 74 | 74 | 87 | 69 | 99 | 98 | 1 | 50 | 0 | 0 | 32 | 4 | 3,500,000$ | ||||
18 | Madison Bowey | X | 100.00 | 94 | 45 | 73 | 83 | 87 | 81 | 78 | 80 | 52 | 76 | 70 | 87 | 69 | 89 | 90 | 6 | 50 | 0 | 0 | 28 | 1 | 3,000,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Max Pacioretty | X | 100.00 | 78 | 33 | 80 | 77 | 75 | 75 | 74 | 81 | 55 | 74 | 76 | 66 | 81 | 99 | 99 | 1 | 50 | 0 | 0 | 35 | 1 | 2,210,000$ | ||||
2 | JC Lipon | X | 100.00 | 84 | 42 | 84 | 86 | 81 | 85 | 84 | 81 | 68 | 75 | 75 | 69 | 81 | 98 | 96 | 1 | 50 | 0 | 0 | 30 | 1 | 4,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Dylan Sikura | X | X | X | 100.00 | 59 | 23 | 98 | 86 | 72 | 87 | 86 | 80 | 74 | 75 | 74 | 70 | 73 | 80 | 80 | 5 | 50 | 0 | 0 | 28 | 2 | 1,000,000$ | ||
2 | Evgeny Grachev | X | X | 100.00 | 71 | 40 | 90 | 76 | 86 | 78 | 77 | 79 | 82 | 73 | 72 | 68 | 82 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 1 | 700,000$ | |||
3 | Nazem Kadri | X | X | X | 100.00 | 67 | 35 | 97 | 80 | 77 | 78 | 78 | 82 | 78 | 75 | 75 | 65 | 83 | 99 | 99 | 1 | 50 | 0 | 0 | 33 | 3 | 1,300,000$ | ||
4 | Trevor Cox | X | X | 100.00 | 78 | 35 | 88 | 86 | 74 | 81 | 80 | 80 | 77 | 75 | 75 | 67 | 76 | 82 | 82 | 1 | 50 | 0 | 0 | 28 | 1 | 2,000,000$ | |||
5 | Malte Strömwall | X | 100.00 | 71 | 35 | 84 | 81 | 79 | 82 | 78 | 80 | 73 | 73 | 73 | 69 | 79 | 85 | 82 | 1 | 50 | 0 | 0 | 29 | 2 | 1,200,000$ | ||||
6 | Sakari Manninen | X | X | 100.00 | 62 | 38 | 90 | 81 | 65 | 81 | 76 | 78 | 76 | 72 | 72 | 67 | 82 | 86 | 86 | 1 | 50 | 0 | 0 | 31 | 2 | 1,500,000$ | |||
7 | Radim Zohorna | X | X | X | 100.00 | 79 | 35 | 91 | 82 | 90 | 84 | 84 | 82 | 75 | 77 | 75 | 68 | 78 | 80 | 78 | 6 | 50 | 0 | 0 | 27 | 2 | 1,500,000$ | ||
8 | Brock McGinn | X | X | 100.00 | 90 | 48 | 77 | 81 | 84 | 82 | 78 | 80 | 70 | 72 | 72 | 71 | 74 | 86 | 85 | 1 | 50 | 0 | 0 | 29 | 3 | 1,250,000$ | |||
9 | Joe Veleno | X | X | 100.00 | 75 | 33 | 88 | 85 | 81 | 83 | 81 | 81 | 76 | 76 | 75 | 68 | 73 | 68 | 67 | 7 | 50 | 0 | 0 | 23 | 1 | 1,300,000$ | |||
10 | Scott Laughton | X | X | 100.00 | 87 | 38 | 79 | 79 | 83 | 84 | 81 | 79 | 77 | 75 | 73 | 71 | 73 | 83 | 83 | 1 | 50 | 0 | 0 | 29 | 1 | 1,200,000$ | |||
11 | Samuel Blais | X | X | 100.00 | 89 | 38 | 86 | 80 | 85 | 82 | 82 | 82 | 67 | 74 | 75 | 70 | 75 | 79 | 79 | 6 | 50 | 0 | 0 | 27 | 3 | 1,800,000$ | |||
12 | Nathan Bastian | X | X | 100.00 | 90 | 49 | 76 | 79 | 89 | 81 | 77 | 80 | 65 | 74 | 74 | 70 | 73 | 76 | 76 | 6 | 50 | 0 | 0 | 26 | 3 | 1,200,000$ | |||
13 | Niko Mikkola | X | 100.00 | 86 | 44 | 77 | 76 | 85 | 81 | 82 | 78 | 50 | 74 | 64 | 89 | 61 | 75 | 73 | 6 | 50 | 0 | 0 | 27 | 3 | 1,900,000$ | ||||
14 | Frédéric Allard (R) | X | 100.00 | 84 | 40 | 81 | 80 | 82 | 82 | 78 | 79 | 50 | 74 | 66 | 87 | 62 | 75 | 75 | 6 | 50 | 0 | 0 | 26 | 2 | 1,400,000$ | ||||
15 | Lucas Carlsson (R) | X | 100.00 | 79 | 43 | 79 | 79 | 82 | 85 | 85 | 81 | 50 | 75 | 70 | 88 | 66 | 74 | 73 | 6 | 50 | 0 | 0 | 26 | 3 | 1,250,000$ | ||||
16 | Timothy Liljegren (R) | X | 100.00 | 72 | 30 | 79 | 83 | 77 | 84 | 86 | 83 | 52 | 76 | 66 | 84 | 68 | 84 | 79 | 7 | 50 | 0 | 0 | 24 | 1 | 1,500,000$ | ||||
17 | Ty Emberson (R) | X | 100.00 | 73 | 35 | 81 | 75 | 81 | 78 | 77 | 76 | 50 | 71 | 63 | 85 | 57 | 67 | 73 | 6 | 50 | 0 | 0 | 23 | 1 | 800,000$ | ||||
18 | Alexander Alexeyev (R) | X | 100.00 | 81 | 40 | 80 | 80 | 87 | 86 | 83 | 81 | 50 | 77 | 72 | 85 | 64 | 77 | 74 | 7 | 50 | 0 | 0 | 24 | 1 | 1,750,000$ | ||||
19 | Ryan Lomberg | X | 100.00 | 90 | 55 | 71 | 82 | 82 | 75 | 69 | 76 | 65 | 69 | 69 | 67 | 71 | 81 | 79 | 1 | 50 | 0 | 0 | 29 | 2 | 975,000$ | ||||
20 | Buddy Robinson | X | 100.00 | 86 | 47 | 76 | 77 | 91 | 78 | 79 | 80 | 62 | 73 | 72 | 67 | 79 | 86 | 82 | 1 | 50 | 0 | 0 | 32 | 2 | 1,100,000$ | ||||
21 | Ivan Ivan (R) | X | 100.00 | 64 | 30 | 86 | 77 | 71 | 76 | 79 | 75 | 76 | 69 | 69 | 65 | 74 | 62 | 62 | 5 | 50 | 0 | 0 | 21 | 1 | 800,000$ | ||||
22 | Semyon Chistyakov (R) | X | 100.00 | 77 | 41 | 84 | 80 | 81 | 83 | 83 | 76 | 50 | 71 | 63 | 86 | 60 | 78 | 74 | 6 | 50 | 0 | 0 | 22 | 1 | 850,000$ | ||||
23 | Tyler Tucker (R) | X | 100.00 | 88 | 48 | 73 | 75 | 85 | 81 | 80 | 78 | 50 | 73 | 64 | 87 | 60 | 73 | 70 | 6 | 50 | 0 | 0 | 23 | 1 | 800,000$ | ||||
24 | Gregorio Gios (R) | X | 100.00 | 84 | 40 | 82 | 72 | 84 | 78 | 75 | 72 | 50 | 67 | 60 | 84 | 54 | 72 | 71 | 5 | 50 | 0 | 0 | 24 | 2 | 900,000$ | ||||
TEAM AVERAGE | 100.00 | 83 | 39 | 82 | 82 | 83 | 84 | 82 | 83 | 64 | 77 | 75 | 75 | 75 | 89 | 89 | 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 | Chris Driedger | 100.00 | 87 | 85 | 85 | 91 | 90 | 89 | 91 | 90 | 89 | 88 | 88 | 81 | 76 | 1 | 50 | 0 | 0 | 29 | 4 | 7,200,000$ | |
2 | Yaniv Perets (R) | 100.00 | 85 | 82 | 82 | 82 | 85 | 83 | 82 | 82 | 82 | 83 | 83 | 66 | 64 | 6 | 50 | 0 | 0 | 23 | 1 | 750,000$ | |
Scratches | |||||||||||||||||||||||
1 | Pheonix Copley | 100.00 | 86 | 82 | 85 | 88 | 89 | 90 | 91 | 89 | 89 | 87 | 86 | 85 | 82 | 1 | 50 | 0 | 0 | 31 | 3 | 2,100,000$ | |
Farm Team | |||||||||||||||||||||||
1 | Mason McDonald | 100.00 | 88 | 83 | 84 | 88 | 91 | 88 | 87 | 88 | 87 | 89 | 84 | 71 | 72 | 6 | 50 | 0 | 0 | 27 | 1 | 1,100,000$ | |
2 | Brendan Burke | 100.00 | 87 | 85 | 85 | 85 | 89 | 89 | 89 | 89 | 87 | 89 | 86 | 81 | 86 | 6 | 50 | 0 | 0 | 28 | 2 | 1,250,000$ | |
TEAM AVERAGE | 100.00 | 86 | 83 | 84 | 87 | 88 | 87 | 88 | 87 | 87 | 86 | 86 | 77 | 74 | 3 | 50 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Jared Bednar | 83 | 86 | 90 | 85 | 87 | 86 | 70 | CAN | 52 | 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 | |||||||||||||
Curtis Lazar | C/LW/RW | 28 | 1994-01-22 04:06:06 | TW | 2 | 4.60% | 4,000,000$ | 4,000,000$ | UFA [Age: 30] | ||||
Daniel Sprong | LW/RW | 26 | 1996-01-22 10:38:08 | TW | 5 | 5.06% | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | 4,400,000$ | UFA [Age: 31] | |
JC Lipon | RW | 30 | 1992-01-22 06:09:51 | TW | 1 | 4.60% | 4,000,000$ | UFA [Age: 31] | |||||
Jesper Bratt | LW/RW | 25 | 1997-01-22 05:06:19 | TW | 1 | 5.57% | 4,850,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Joel Eriksson Ek | C/LW/RW | 26 | 1996-01-22 02:48:17 | TW | 1 | 1.38% | 1,200,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Lawson Crouse | LW/RW | 26 | 1996-01-22 02:59:40 | TW | 1 | 2.87% | 2,500,000$ | RFA ( Groupe: 2 ) [Age: 27] | |||||
Max Jones | LW/RW | 25 | 1997-01-02 02:26:02 | TW | 1 | 1.06% | 925,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Max Pacioretty | LW | 35 | 1987-01-22 00:29:38 | TW | 1 | 2.54% | 2,210,000$ | UFA [Age: 36] | |||||
Owen Tippett | LW/RW | 24 | 1998-01-02 15:18:56 | TW | 1 | 2.01% | 1,750,000$ | RFA ( Groupe: 2 ) [Age: 25] | |||||
Paul Stastny | C | 38 | 1984-01-22 06:29:38 | TW | 1 | 2.59% | 2,250,000$ | UFA [Age: 39] | |||||
Theodor Blueger | C/LW/RW | 29 | 1993-01-22 06:04:00 | TW | 1 | 3.45% | 3,000,000$ | UFA [Age: 30] | |||||
Trey Fix-Wolansky | RW | 24 | 1998-01-22 00:26:05 | TW | 2 | 2.87% | 2,500,000$ | 2,500,000$ | RFA ( Groupe: 2 ) [Age: 26] | ||||
Valeri Nichushkin | LW/RW | 28 | 1994-01-22 15:26:37 | TW | 1 | 6.32% | 5,500,000$ | UFA [Age: 29] | |||||
William Karlsson | C/LW | 30 | 1992-01-22 13:12:31 | TW | 5 | 6.90% | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | 6,000,000$ | UFA [Age: 35] | |
AVERAGE (14) | 28.14 | 51.82% | 45,085,000$ | 16,900,000$ | 10,400,000$ | 10,400,000$ | 10,400,000$ | 0$ | 0$ | ||||
Defenseman | |||||||||||||
Darren Dietz | D | 30 | 1992-01-22 12:33:34 | TW | 2 | 3.16% | 2,750,000$ | 2,750,000$ | UFA [Age: 32] | ||||
Eric Gelinas | D | 32 | 1990-01-22 17:45:42 | NT TW | 4 | 4.02% | 3,500,000$ | 3,500,000$ | 3,500,000$ | 3,500,000$ | UFA [Age: 36] | ||
Madison Bowey | D | 28 | 1994-01-22 04:30:08 | TW | 1 | 3.45% | 3,000,000$ | UFA [Age: 29] | |||||
Matt Roy | D | 28 | 1994-01-02 05:33:47 | TW | 3 | 2.76% | 2,400,000$ | 2,400,000$ | 2,400,000$ | UFA [Age: 31] | |||
Sean Durzi | D | 25 | 1997-01-22 05:42:20 | TW | 1 | 2.87% | 2,500,000$ | RFA ( Groupe: 2 ) [Age: 26] | |||||
Tyler Myers | D | 33 | 1989-01-22 12:29:38 | TW | 1 | 8.62% | 7,500,000$ | UFA [Age: 34] | |||||
AVERAGE (6) | 29.33 | 24.89% | 21,650,000$ | 8,650,000$ | 5,900,000$ | 3,500,000$ | 0$ | 0$ | 0$ | ||||
Goalies | |||||||||||||
Chris Driedger | G | 29 | 1993-01-02 00:31:12 | TW | 4 | 8.28% | 7,200,000$ | 7,200,000$ | 7,200,000$ | 7,200,000$ | UFA [Age: 33] | ||
Pheonix Copley | G | 31 | 1991-01-02 12:27:49 | NT TW | 3 | 2.41% | 2,100,000$ | 2,100,000$ | 2,100,000$ | UFA [Age: 34] | |||
Yaniv Perets | G | 23 | 1999-01-02 21:10:44 | TW | 1 | 0.86% | 750,000$ | RFA ( Groupe: 2 ) [Age: 24] | |||||
AVERAGE (3) | 27.67 | 11.55% | 10,050,000$ | 9,300,000$ | 9,300,000$ | 7,200,000$ | 0$ | 0$ | 0$ | ||||
Special Salary Cap Value | 5,000,000$ | 0$ | 0$ | 0$ | 0$ | 0$ | 0$ | ||||||
TOTAL (23) | 94.01% | 81,785,000$ | 34,850,000$ | 25,600,000$ | 21,100,000$ | 10,400,000$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Nichushkin
0
|
Lazar
0
|
Bratt
0
| |||||
Jones
0
|
Karlsson
0
|
Tippett
0
| |||||
Blueger
0
|
Eriksson Ek
0
|
Sprong
0
| |||||
Crouse
0
|
Stastny
0
|
Fix-Wolansky
0
|
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Durzi
0
|
Myers
0
| ||||||
Gelinas
0
|
Bowey
0
| ||||||
Roy
0
|
Dietz
0
| ||||||
Gelinas
0
|
Myers
0
|
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Left Wing | Center | Right Wing | |||||
Tippett
0
|
Karlsson
0
|
Bratt
0
| |||||
Sprong
0
|
Eriksson Ek
0
|
Lazar
0
|
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Defense | Defense | ||||||
Myers
0
|
Nichushkin
0
| ||||||
Jones
0
|
Gelinas
0
|
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Lazar
0
|
Jones
0
| |||||
Eriksson Ek
0
|
Crouse
0
|
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Roy
0
|
Myers
0
| |||||
Gelinas
0
|
Dietz
0
|
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Wing | Defense | Defense | |||||||||
Lazar
0
|
Roy
0
|
Myers
0
| |||||||||
Eriksson Ek
0
|
Gelinas
0
|
Dietz
0
|
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Center | Wing | |||||
Karlsson
0
|
Nichushkin
0
| |||||
Lazar
0
|
Bratt
0
|
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Defense | Defense | |||||
Bowey
0
|
Myers
0
| |||||
Gelinas
0
|
Durzi
0
|
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Owen Tippett | William Karlsson | Jesper Bratt | Tyler Myers | Valeri Nichushkin |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Curtis Lazar | Joel Eriksson Ek | Max Jones | Matt Roy | Tyler Myers |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Valeri Nichushkin, Owen Tippett, William Karlsson | Max Jones, Valeri Nichushkin | Curtis Lazar |
Extra Defensemen | ||
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Normal | PowerPlay | Penalty Kill |
Tyler Myers, Eric Gelinas, Madison Bowey | Tyler Myers | Eric Gelinas, Tyler Myers |
Penalty Shots |
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William Karlsson, Paul Stastny, Owen Tippett, Valeri Nichushkin, Daniel Sprong |
Goalie |
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#1 : Yaniv Perets, #2 : Chris Driedger |
Custom OT Lines Forwards |
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Valeri Nichushkin, Jesper Bratt, Owen Tippett, William Karlsson, Curtis Lazar, Max Jones, Max Jones, Joel Eriksson Ek, Daniel Sprong, Lawson Crouse, Trey Fix-Wolansky |
Custom OT Lines Defensemen |
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Tyler Myers, Eric Gelinas, Madison Bowey, Sean Durzi, Matt 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 |
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 | |||||
---|---|---|---|---|---|
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 |
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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 |