Senators | |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0% | PK%: 0% GM : NFHL | Morale : 99 | Team Overall : N/A |
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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 |
# | Player Name | C | L | R | D | CON | PT | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Brendan Gallagher | X | X | 100.00 | 68 | 52 | 86 | 83 | 69 | 80 | 93 | 75 | 61 | 69 | 72 | 68 | 66 | 63 | 66 | 0 | 99 | 0 | 0 | 32 | 1 | 1,250,000$ | ||||
2 | Dylan Guenther | X | X | 100.00 | 67 | 50 | 92 | 90 | 68 | 83 | 92 | 80 | 61 | 75 | 80 | 73 | 65 | 48 | 55 | 0 | 99 | 0 | 0 | 21 | 1 | 1,500,000$ | ||||
3 | Andrew Copp | X | 100.00 | 64 | 50 | 92 | 82 | 77 | 83 | 94 | 75 | 84 | 71 | 70 | 81 | 65 | 58 | 61 | 0 | 99 | 0 | 0 | 30 | 1 | 4,750,000$ | |||||
4 | Warren Foegele | X | X | 100.00 | 70 | 52 | 90 | 85 | 77 | 80 | 95 | 76 | 61 | 71 | 73 | 73 | 65 | 56 | 64 | 0 | 99 | 0 | 0 | 28 | 1 | 2,450,000$ | ||||
5 | Travis Sanheim | X | 100.00 | 71 | 50 | 90 | 89 | 84 | 90 | 94 | 82 | 25 | 78 | 74 | 83 | 65 | 53 | 61 | 0 | 99 | 0 | 0 | 28 | 3 | 3,850,000$ | |||||
6 | Michael Koster | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 75 | 0 | 0 | 23 | 1 | 700,000$ | |||||
Scratches | ||||||||||||||||||||||||||||||
1 | Rasmus Asplund | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 55 | 60 | 0 | 20 | 0 | 0 | 27 | 0 | 0$ | |||||
2 | Rafael Harvey-Pinard | X | X | 100.00 | 70 | 50 | 94 | 74 | 69 | 79 | 83 | 71 | 61 | 69 | 66 | 81 | 65 | 56 | 62 | 0 | 99 | 0 | 0 | 25 | 3 | 1,350,000$ | ||||
3 | Kevin Fiala | X | X | 100.00 | 68 | 50 | 88 | 89 | 77 | 85 | 95 | 82 | 61 | 81 | 78 | 68 | 69 | 56 | 61 | 0 | 99 | 0 | 0 | 28 | 4 | 5,650,000$ | ||||
4 | Lukas Reichel | X | X | 100.00 | 64 | 50 | 94 | 77 | 65 | 81 | 92 | 71 | 64 | 68 | 67 | 68 | 66 | 47 | 57 | 0 | 99 | 0 | 0 | 22 | 3 | 1,700,000$ | ||||
5 | Matthew Boldy | X | X | 100.00 | 64 | 50 | 89 | 90 | 76 | 85 | 92 | 83 | 64 | 81 | 79 | 68 | 75 | 47 | 57 | 0 | 99 | 0 | 0 | 23 | 3 | 4,900,000$ | ||||
6 | Ben Hutton | X | 100.00 | 64 | 54 | 91 | 81 | 77 | 83 | 82 | 74 | 25 | 69 | 67 | 70 | 65 | 63 | 67 | 0 | 99 | 0 | 0 | 31 | 1 | 1,500,000$ | |||||
7 | Philip Broberg | X | 100.00 | 60 | 50 | 92 | 73 | 81 | 78 | 89 | 69 | 25 | 72 | 65 | 73 | 65 | 50 | 60 | 0 | 99 | 0 | 0 | 23 | 1 | 950,000$ | |||||
8 | Nikolai Knyzhov | X | 100.00 | 63 | 50 | 89 | 67 | 84 | 84 | 86 | 65 | 25 | 66 | 64 | 73 | 65 | 49 | 59 | 0 | 99 | 0 | 0 | 26 | 2 | 882,000$ | |||||
9 | Noah Juulsen | X | 100.00 | 85 | 50 | 91 | 73 | 76 | 81 | 86 | 70 | 25 | 66 | 65 | 83 | 65 | 60 | 64 | 0 | 99 | 0 | 0 | 27 | 1 | 1,962,750$ | |||||
Farm Team | ||||||||||||||||||||||||||||||
1 | Joshua Roy | X | X | 100.00 | 65 | 50 | 95 | 82 | 73 | 79 | 89 | 74 | 61 | 70 | 70 | 68 | 66 | 48 | 57 | 0 | 99 | 0 | 0 | 21 | 1 | 750,000$ | ||||
2 | Tanner Dickinson | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 48 | 57 | 0 | 79 | 0 | 0 | 22 | 1 | 750,000$ | |||||
3 | Olle Lycksell | X | X | 100.00 | 60 | 50 | 92 | 73 | 62 | 76 | 87 | 71 | 61 | 71 | 71 | 66 | 65 | 52 | 60 | 0 | 99 | 0 | 0 | 25 | 1 | 787,500$ | ||||
4 | Otto Koivula | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 56 | 63 | 0 | 71 | 0 | 0 | 26 | 1 | 854,438$ | ||||
5 | Lucas Ciona | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 84 | 0 | 0 | 21 | 2 | 700,000$ | ||||
6 | Nolan Allan | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 50 | 57 | 0 | 74 | 0 | 0 | 21 | 1 | 1,250,000$ | |||||
7 | Noah Warren | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 51 | 0 | 0 | 20 | 2 | 1,250,000$ | |||||
8 | Gavin White | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 42 | 0 | 0 | 22 | 2 | 750,000$ | |||||
9 | Drew Bavaro | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 24 | 2 | 750,000$ | |||||
10 | Kirill Tyutyayev | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 45 | 59 | 0 | 20 | 0 | 0 | 24 | 0 | 0$ | |||
11 | Aidan McDonough | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 50 | 64 | 0 | 74 | 0 | 0 | 25 | 1 | 882,000$ | ||||
12 | Raivis Ansons | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 48 | 57 | 0 | 20 | 0 | 0 | 22 | 1 | 650,000$ | ||||
13 | Bradley Marek | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 44 | 57 | 0 | 44 | 0 | 0 | 24 | 1 | 650,000$ | |||
14 | Ruslan Iskhakov | X | 100.00 | 60 | 50 | 91 | 71 | 64 | 81 | 92 | 64 | 61 | 65 | 63 | 65 | 65 | 52 | 62 | 0 | 99 | 0 | 0 | 24 | 0 | 0$ | |||||
15 | Mathias Laferriere | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 56 | 62 | 0 | 75 | 0 | 0 | 24 | 1 | 716,625$ | ||||
16 | Luke Henman | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 56 | 62 | 0 | 75 | 0 | 0 | 24 | 1 | 909,563$ | |||||
17 | Carsen Twarynski | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 60 | 65 | 0 | 80 | 0 | 0 | 27 | 0 | 0$ | ||||
18 | Jamieson Rees | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 53 | 59 | 0 | 74 | 0 | 0 | 23 | 1 | 1,312,500$ | |||||
19 | Taylor Makar | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 45 | 59 | 0 | 19 | 0 | 0 | 23 | 0 | 0$ | |||
20 | Givani Smith | X | X | 100.00 | 79 | 62 | 84 | 65 | 81 | 75 | 80 | 69 | 61 | 65 | 65 | 70 | 65 | 56 | 63 | 0 | 99 | 0 | 0 | 26 | 1 | 950,000$ | ||||
21 | Sean Tschigerl | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 56 | 0 | 0 | 21 | 2 | 975,000$ | ||||
22 | Carter Mazur | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 27 | 0 | 0 | 22 | 2 | 975,000$ | ||||
23 | Marcus Sylvegard | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 0 | 25 | 1 | 750,000$ | ||||
24 | Dalibor Dvorsky (R) | X | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 1,500,000$ | |||
25 | Cutter Gauthier (R) | X | X | X | 100.00 | 15 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 1,500,000$ | |||
26 | Jesse Nurmi (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 750,000$ | ||||
27 | Topi Ronni (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 20 | 3 | 975,000$ | |||||
28 | Simon Lundmark | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 53 | 59 | 0 | 68 | 0 | 0 | 24 | 1 | 1,023,750$ | |||||
29 | Santtu Kinnunen | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 54 | 54 | 0 | 81 | 0 | 0 | 25 | 0 | 0$ | |||||
30 | Michael Callahan | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 62 | 0 | 78 | 0 | 0 | 25 | 1 | 771,750$ | |||||
31 | Linus Hogberg | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 58 | 62 | 0 | 30 | 0 | 0 | 26 | 0 | 0$ | |||||
32 | Mason Lohrei | X | 100.00 | 67 | 50 | 91 | 84 | 81 | 83 | 88 | 77 | 25 | 70 | 72 | 73 | 65 | 40 | 55 | 0 | 99 | 0 | 0 | 23 | 1 | 975,000$ | |||||
33 | Theo Lindstein (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 1,250,000$ | ||||
34 | Frederic Brunet (R) | X | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 21 | 3 | 825,000$ | ||||
35 | Scott Morrow (R) | X | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 22 | 2 | 1,250,000$ | |||||
TEAM AVERAGE | 100.00 | 25 | 19 | 33 | 29 | 27 | 30 | 33 | 27 | 19 | 26 | 26 | 27 | 24 | 42 | 49 | 0 | 62 | 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 | PT | SK | DU | EN | SZ | AG | RB | SC | HS | RT | PH | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||||||
1 | Ivan Prosvetov | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 52 | 63 | 0 | 53 | 0 | 0 | 25 | 1 | 787,500$ | ||
Farm Team | ||||||||||||||||||||||||
1 | Anson Thornton | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 40 | 55 | 0 | 74 | 0 | 0 | 21 | 2 | 650,000$ | ||
2 | Gustavs Davis Grigals | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 50 | 57 | 0 | 81 | 0 | 0 | 26 | 0 | 0$ | ||
3 | Ivan Fedotov | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 57 | 69 | 0 | 49 | 0 | 0 | 28 | 1 | 1,502,456$ | ||
4 | Frederik Nissen Dichow | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 46 | 57 | 0 | 50 | 0 | 0 | 23 | 1 | 650,000$ | ||
5 | Damian Clara (R) | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 0 | 1 | 0 | 1 | 19 | 3 | 975,000$ | ||
TEAM AVERAGE | 100.00 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 1 | 41 | 50 | 0 | 51 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Darryl Sutter | 76 | 77 | 78 | 81 | 99 | 99 | 1 | CAN | 66 | 1 | 1,000,000$ |
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 |
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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 |
# | 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 |
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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 |
Player Name | Team Name | POS | Age | Birthday | Country | Rookie | Weight | Height | No Trade | Available For Trade | Acquired By | Last Trade Date | Force Waivers | Waiver Possible | Contract | Contract Signature Date | Force UFA | Emergency Recall | Type | Current Salary | Salary Remaining | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Salary Year 2 | Salary Year 3 | Salary Year 4 | Salary Year 5 | Salary Year 6 | Salary Year 7 | Salary Year 8 | Salary Year 9 | Salary Year 10 | Salary Cap Year 2 | Salary Cap Year 3 | Salary Cap Year 4 | Salary Cap Year 5 | Salary Cap Year 6 | Salary Cap Year 7 | Salary Cap Year 8 | Salary Cap Year 9 | Salary Cap Year 10 | No Trade Year 2 | No Trade Year 3 | No Trade Year 4 | No Trade Year 5 | No Trade Year 6 | No Trade Year 7 | No Trade Year 8 | No Trade Year 9 | No Trade Year 10 | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Copp | Senators | C | 30 | 1994-07-08 | USA | No | 203 Lbs | 6 ft1 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 4,750,000$ | 4,750,000$ | 4,750,000$ | 4,750,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ben Hutton | Senators | D | 31 | 1993-04-20 | CAN | No | 201 Lbs | 6 ft3 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Brendan Gallagher | Senators | LW/RW | 32 | 1992-05-06 | CAN | No | 183 Lbs | 5 ft9 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,250,000$ | 1,250,000$ | 1,250,000$ | 1,250,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Dylan Guenther | Senators | LW/RW | 21 | 2003-04-10 | CAN | No | 175 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Ivan Prosvetov | Senators | G | 25 | 1999-03-05 | RUS | No | 176 Lbs | 6 ft5 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 787,500$ | 787,500$ | 787,500$ | 787,500$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Kevin Fiala | Senators | LW/RW | 28 | 1996-07-22 | SUI | No | 205 Lbs | 6 ft0 | No | No | N/A | No | No | 4 | False | False | Pro & Farm | 5,650,000$ | 5,650,000$ | 5,650,000$ | 5,650,000$ | No | 5,650,000$ | 5,650,000$ | 5,650,000$ | - | - | - | - | - | - | 5,650,000$ | 5,650,000$ | 5,650,000$ | - | - | - | - | - | - | No | No | No | - | - | - | - | - | - | |||
Lukas Reichel | Senators | LW/RW | 22 | 2002-05-17 | GER | No | 170 Lbs | 6 ft0 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,700,000$ | 1,700,000$ | 1,700,000$ | 1,700,000$ | No | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | 1,700,000$ | 1,700,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Matthew Boldy | Senators | LW/RW | 23 | 2001-04-05 | USA | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 4,900,000$ | 4,900,000$ | 4,900,000$ | 4,900,000$ | No | 4,900,000$ | 4,900,000$ | - | - | - | - | - | - | - | 4,900,000$ | 4,900,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Michael Koster | Senators | D | 23 | 2001-04-13 | USA | No | 181 Lbs | 5 ft10 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 700,000$ | 700,000$ | 700,000$ | 700,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Nikolai Knyzhov | Senators | D | 26 | 1998-03-20 | RUS | No | 222 Lbs | 6 ft3 | No | No | N/A | No | No | 2 | False | False | Pro & Farm | 882,000$ | 882,000$ | 882,000$ | 882,000$ | No | 882,000$ | - | - | - | - | - | - | - | - | 882,000$ | - | - | - | - | - | - | - | - | No | - | - | - | - | - | - | - | - | |||
Noah Juulsen | Senators | D | 27 | 1997-04-02 | CAN | No | 201 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 1,962,750$ | 1,962,750$ | 1,962,750$ | 1,962,750$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Philip Broberg | Senators | D | 23 | 2001-06-25 | SWE | No | 212 Lbs | 6 ft4 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 950,000$ | 950,000$ | 950,000$ | 950,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||
Rafael Harvey-Pinard | Senators | LW/RW | 25 | 1999-01-06 | CAN | No | 184 Lbs | 5 ft9 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 1,350,000$ | 1,350,000$ | 1,350,000$ | 1,350,000$ | No | 1,350,000$ | 1,350,000$ | - | - | - | - | - | - | - | 1,350,000$ | 1,350,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Rasmus Asplund (1 Way Contract) | Senators | C | 27 | 1997-12-03 | SWE | No | 185 Lbs | 5 ft11 | No | No | N/A | No | No | 0 | False | False | Pro & Farm | 0$ | 0$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | |||||
Travis Sanheim | Senators | D | 28 | 1996-03-29 | CAN | No | 222 Lbs | 6 ft4 | No | No | N/A | No | No | 3 | False | False | Pro & Farm | 3,850,000$ | 3,850,000$ | 3,850,000$ | 3,850,000$ | No | 3,850,000$ | 3,850,000$ | - | - | - | - | - | - | - | 3,850,000$ | 3,850,000$ | - | - | - | - | - | - | - | No | No | - | - | - | - | - | - | - | |||
Warren Foegele | Senators | LW/RW | 28 | 1996-04-01 | CAN | No | 204 Lbs | 6 ft2 | No | No | N/A | No | No | 1 | False | False | Pro & Farm | 2,450,000$ | 2,450,000$ | 2,450,000$ | 2,450,000$ | No | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - | - |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
16 | 26.19 | 195 Lbs | 6 ft1 | 1.69 | 2,136,391$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
34,182,250$ | 18,332,000$ | 17,450,000$ | 5,650,000$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Andrew Copp | 28 | 1 | 2 | 2 | ||
2 | Brendan Gallagher | Warren Foegele | 28 | 1 | 2 | 2 | |
3 | 25 | 1 | 2 | 2 | |||
4 | Dylan Guenther | 19 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Travis Sanheim | 28 | 1 | 2 | 2 | ||
2 | 28 | 1 | 2 | 2 | |||
3 | Michael Koster | 25 | 1 | 2 | 2 | ||
4 | Travis Sanheim | 19 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Andrew Copp | 50 | 1 | 2 | 2 | ||
2 | Warren Foegele | 50 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Travis Sanheim | 50 | 1 | 2 | 2 | ||
2 | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 50 | 1 | 2 | 2 | ||
2 | Warren Foegele | Andrew Copp | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Travis Sanheim | 50 | 1 | 2 | 2 | |
2 | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Andrew Copp | 50 | 1 | 2 | 2 | Travis Sanheim | 50 | 1 | 2 | 2 | |
2 | 50 | 1 | 2 | 2 | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 50 | 1 | 2 | 2 | ||
2 | Andrew Copp | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Travis Sanheim | 50 | 1 | 2 | 2 | |
2 | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Andrew Copp | Travis Sanheim |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Andrew Copp | Travis Sanheim |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Travis Sanheim | Travis Sanheim | Travis Sanheim, |
Penalty Shots |
---|
, , , Andrew Copp, Warren Foegele |
Goalie |
---|
#1 : , #2 : |
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% | 0 | 0 | 0% | 0 | 0 | 0 | 0% | 0 | 0 | 0% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 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% | 0 | 0 | 0% | 0 | 0 | 0% |
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 |
---|
Arena Capacity - Ticket Price Attendance - % | |||||
---|---|---|---|---|---|
Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6250 | 5250 | 2600 | 4200 | 1200 |
Ticket Price | 87 | 48 | 27 | 15 | 192 |
Attendance | 0% | 0% | 0% | 0% | 0% |
Attendance PCT | 0% | 0% | 0% | 0% | 0% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0% | 0$ | 0$ | 19500 | 100 |
Expenses | ||||
---|---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Salaries Cap | Coaches Salaries | Special Salary Cap Value |
0$ | 34,182,250$ | 34,182,250$ | 1,000,000$0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|---|
0$ | 0$ | 0$ | 15 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
---|---|---|
Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 37,133,887$ | 37,133,887$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
---|---|---|---|
0$ | 82,000,000$ | 82,000,000$ | -52,000,000$ |
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 |
Prospect | Team Name | Draft Year | Overall Pick | Information | Last Trade Date | Link |
---|---|---|---|---|---|---|
Alex Bump | Senators | 0 | 0 | |||
Andrei Loshko | Senators | 0 | 0 | |||
Anton Silayev | Senators | 0 | 0 | |||
Brodie Ziemer | Senators | 0 | 0 | |||
Charlie Elick | Senators | 0 | 0 | |||
Dominik Badinka | Senators | 0 | 0 | |||
Joey Willis | Senators | 0 | 0 | |||
Kevin Reidler | Senators | 0 | 0 | |||
Konnor Smith | Senators | 0 | 0 | |||
Marek Vanacker | Senators | 0 | 0 | |||
Matvei Shuravin | Senators | 0 | 0 | |||
Maxim Strbak | Senators | 0 | 0 | |||
Oskar Vuollet | Senators | 0 | 0 | |||
Philip Svedeback | Senators | 0 | 0 | |||
Roman Shokhrin | Senators | 0 | 0 | |||
Ty Henry | Senators | 0 | 0 | |||
Vadim Moroz | Senators | 0 | 0 | |||
Vojtech Port | Senators | 0 | 0 |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
---|---|---|---|---|---|---|---|
2024 | OTT ANA | OTT WPG | OTT | OTT | OTT | DET | FLA |
2025 | OTT | OTT | OTT | OTT | OTT NJD | OTT | |
2026 | OTT | OTT | OTT | OTT | OTT | OTT | OTT |
2027 | OTT | OTT | OTT | OTT | OTT | OTT | OTT |
2028 | OTT | OTT | OTT | OTT | OTT | OTT | OTT |
Conditional Draft Picks |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 |
# | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
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# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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