![]() | Vegas Golden Knights |
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Nathan Erb | Morale : 50 | Team Overall : 77 |
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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 | CK | FG | DI | SK | ST | EN | DU | PH | FO | PA | SC | DF | PS | EX | LD | PO | MO | OV | TA | SP | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Nino Niederreiter | X | X | 100.00 | 75 | 30 | 83 | 79 | 85 | 91 | 97 | 81 | 67 | 79 | 82 | 76 | 76 | 97 | 99 | 0 | 50 | 77 | 2 | 31 | 2 | 5,000,000$ | |||
2 | Andreas Athanasiou | X | X | X | 100.00 | 75 | 42 | 86 | 88 | 76 | 95 | 99 | 78 | 76 | 78 | 76 | 75 | 70 | 99 | 96 | 0 | 50 | 77 | 2 | 29 | 1 | 4,000,000$ | ||
3 | Chris Tierney | X | X | 100.00 | 68 | 30 | 92 | 76 | 78 | 94 | 99 | 80 | 77 | 81 | 77 | 79 | 73 | 98 | 95 | 0 | 50 | 76 | 2 | 29 | 1 | 3,000,000$ | |||
4 | Mats Zuccarello | X | X | 100.00 | 75 | 38 | 83 | 81 | 71 | 91 | 95 | 80 | 55 | 79 | 79 | 77 | 75 | 99 | 99 | 0 | 50 | 76 | 2 | 36 | 1 | 5,500,000$ | |||
5 | Joel Armia | X | 100.00 | 79 | 30 | 82 | 76 | 85 | 89 | 94 | 76 | 64 | 74 | 75 | 79 | 72 | 97 | 95 | 0 | 50 | 74 | 1 | 30 | 3 | 2,500,000$ | ||||
6 | Lars Eller | X | 100.00 | 66 | 30 | 90 | 77 | 80 | 86 | 91 | 76 | 78 | 77 | 73 | 76 | 70 | 99 | 99 | 0 | 50 | 74 | 1 | 34 | 1 | 2,200,000$ | ||||
7 | Zach Aston-Reese | X | X | 100.00 | 79 | 54 | 83 | 76 | 78 | 88 | 93 | 77 | 75 | 76 | 74 | 80 | 69 | 88 | 80 | 0 | 50 | 74 | 1 | 29 | 1 | 1,500,000$ | |||
8 | Filip Zadina | X | X | 100.00 | 69 | 30 | 92 | 82 | 76 | 87 | 91 | 79 | 72 | 76 | 74 | 73 | 75 | 80 | 73 | 0 | 50 | 73 | 1 | 24 | 2 | 2,250,000$ | |||
9 | Brenden Dillon | X | 100.00 | 84 | 54 | 65 | 75 | 85 | 97 | 99 | 77 | 30 | 77 | 72 | 83 | 52 | 99 | 99 | 0 | 50 | 78 | 2 | 33 | 1 | 4,000,000$ | ||||
10 | Neal Pionk | X | 100.00 | 76 | 57 | 84 | 80 | 77 | 97 | 99 | 81 | 30 | 84 | 76 | 81 | 37 | 90 | 85 | 0 | 50 | 78 | 2 | 28 | 2 | 4,000,000$ | ||||
11 | Philippe Myers | X | 100.00 | 78 | 44 | 75 | 77 | 84 | 90 | 96 | 72 | 30 | 70 | 67 | 79 | 53 | 89 | 83 | 0 | 50 | 75 | 1 | 26 | 1 | 2,200,000$ | ||||
12 | Wyatt Kalynuk (R) | X | 100.00 | 73 | 30 | 90 | 82 | 72 | 89 | 90 | 75 | 30 | 73 | 71 | 77 | 56 | 71 | 68 | 0 | 50 | 73 | 1 | 26 | 1 | 475,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Brandon Hagel | X | 100.00 | 69 | 38 | 80 | 84 | 71 | 93 | 95 | 82 | 65 | 80 | 82 | 80 | 70 | 86 | 84 | 0 | 50 | 76 | 1 | 25 | 2 | 3,750,000$ | ||||
2 | Luke Schenn | X | 100.00 | 83 | 53 | 70 | 72 | 82 | 86 | 88 | 68 | 30 | 67 | 57 | 80 | 57 | 99 | 99 | 0 | 50 | 74 | 1 | 34 | 1 | 2,000,000$ | ||||
Farm Team | |||||||||||||||||||||||||||||
1 | Jordan Martinook | X | X | 100.00 | 72 | 35 | 99 | 73 | 76 | 87 | 94 | 74 | 75 | 73 | 71 | 76 | 62 | 84 | 84 | 0 | 50 | 72 | 1 | 31 | 1 | 1,300,000$ | |||
2 | Nathan Smith (R) | X | 100.00 | 88 | 30 | 86 | 81 | 71 | 85 | 86 | 74 | 75 | 72 | 70 | 72 | 70 | 73 | 69 | 0 | 50 | 71 | 0 | 25 | 2 | 800,000$ | ||||
3 | Zack MacEwen (R) | X | X | 100.00 | 81 | 78 | 73 | 76 | 84 | 84 | 90 | 71 | 78 | 70 | 67 | 70 | 70 | 80 | 74 | 0 | 50 | 71 | 0 | 27 | 1 | 975,000$ | |||
4 | Aliaksei Protas (R) | X | 100.00 | 68 | 30 | 96 | 78 | 88 | 86 | 89 | 75 | 72 | 73 | 71 | 74 | 68 | 70 | 70 | 0 | 50 | 71 | 0 | 22 | 2 | 800,000$ | ||||
5 | Vinni Lettieri (R) | X | X | 100.00 | 73 | 32 | 91 | 74 | 75 | 86 | 90 | 72 | 69 | 72 | 69 | 72 | 70 | 74 | 71 | 0 | 50 | 70 | 0 | 28 | 1 | 1,200,000$ | |||
6 | Alex Turcotte (R) | X | X | 100.00 | 72 | 30 | 80 | 80 | 72 | 82 | 80 | 74 | 74 | 70 | 67 | 73 | 67 | 68 | 72 | 0 | 50 | 69 | 0 | 22 | 2 | 1,000,000$ | |||
7 | Dominik Bokk (R) | X | X | 100.00 | 73 | 30 | 84 | 80 | 73 | 79 | 82 | 71 | 63 | 68 | 67 | 71 | 70 | 67 | 67 | 0 | 50 | 68 | 0 | 23 | 1 | 1,000,000$ | |||
8 | Calen Addison (R) | X | 100.00 | 60 | 30 | 88 | 84 | 68 | 88 | 88 | 75 | 30 | 75 | 65 | 76 | 55 | 77 | 75 | 0 | 50 | 72 | 0 | 23 | 1 | 950,000$ | ||||
9 | Juuso Riikola | X | X | 100.00 | 73 | 30 | 85 | 78 | 75 | 87 | 88 | 68 | 50 | 67 | 63 | 76 | 63 | 86 | 82 | 0 | 50 | 72 | 1 | 30 | 1 | 1,600,000$ | |||
10 | Austin Strand (R) | X | 100.00 | 76 | 42 | 79 | 77 | 85 | 86 | 84 | 67 | 30 | 65 | 62 | 74 | 52 | 78 | 78 | 0 | 50 | 71 | 0 | 26 | 1 | 1,250,000$ | ||||
11 | Jordan Harris (R) | X | 100.00 | 72 | 30 | 80 | 84 | 70 | 85 | 87 | 68 | 30 | 66 | 60 | 77 | 50 | 66 | 70 | 0 | 50 | 71 | 0 | 23 | 2 | 700,000$ | ||||
12 | Gabriel Carlsson (R) | X | 100.00 | 70 | 30 | 87 | 76 | 79 | 85 | 87 | 67 | 30 | 66 | 54 | 74 | 48 | 78 | 80 | 0 | 50 | 70 | 0 | 26 | 1 | 1,400,000$ | ||||
13 | Jasper Weatherby (R) | X | X | 100.00 | 75 | 45 | 82 | 75 | 85 | 84 | 88 | 74 | 79 | 73 | 72 | 74 | 71 | 70 | 70 | 0 | 50 | 71 | 0 | 25 | 2 | 700,000$ | |||
14 | Tyson Foerster (R) | X | 100.00 | 73 | 35 | 76 | 74 | 75 | 78 | 80 | 72 | 74 | 67 | 69 | 70 | 70 | 66 | 66 | 0 | 50 | 67 | 0 | 21 | 1 | 1,000,000$ | ||||
15 | Michael Sgarbossa | X | 100.00 | 73 | 50 | 70 | 71 | 69 | 80 | 75 | 67 | 68 | 68 | 68 | 69 | 59 | 48 | 44 | 0 | 50 | 65 | 0 | 31 | 1 | 675,000$ | ||||
16 | Darren Raddysh (R) | X | 100.00 | 74 | 38 | 75 | 73 | 78 | 79 | 83 | 63 | 30 | 62 | 57 | 72 | 46 | 75 | 77 | 0 | 50 | 68 | 0 | 27 | 1 | 880,000$ | ||||
17 | Jalen Chatfield (R) | X | 100.00 | 70 | 30 | 82 | 76 | 73 | 78 | 81 | 65 | 30 | 64 | 48 | 73 | 40 | 72 | 69 | 0 | 50 | 67 | 0 | 27 | 2 | 950,000$ | ||||
18 | Alexander Green (R) | X | 100.00 | 76 | 30 | 82 | 75 | 76 | 76 | 78 | 65 | 30 | 64 | 50 | 71 | 45 | 64 | 62 | 0 | 50 | 67 | 0 | 25 | 1 | 700,000$ | ||||
TEAM AVERAGE | 100.00 | 74 | 38 | 83 | 78 | 77 | 87 | 89 | 73 | 55 | 72 | 68 | 75 | 62 | 81 | 79 | 0 | 50 | 72 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Semyon Varlamov | 100.00 | 91 | 92 | 93 | 85 | 90 | 91 | 91 | 91 | 91 | 86 | 90 | 99 | 99 | 0 | 50 | 89 | 2 | 35 | 2 | 5,000,000$ | |
2 | Alex Nedeljkovic (R) | 100.00 | 94 | 86 | 90 | 81 | 95 | 92 | 93 | 92 | 93 | 92 | 92 | 86 | 82 | 0 | 50 | 88 | 1 | 27 | 3 | 3,000,000$ | |
Scratches | |||||||||||||||||||||||
Farm Team | |||||||||||||||||||||||
1 | Josef Korenar (R) | 100.00 | 86 | 83 | 82 | 82 | 87 | 84 | 85 | 85 | 86 | 83 | 81 | 71 | 68 | 0 | 50 | 81 | 0 | 25 | 1 | 750,000$ | |
TEAM AVERAGE | 100.00 | 90 | 87 | 88 | 83 | 91 | 89 | 90 | 89 | 90 | 87 | 88 | 85 | 83 | 0 | 50 | 86 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Peter Laviolette | 81 | 93 | 83 | 81 | 99 | 99 | 50 | USA | 59 | 3 | 2,750,000$ |
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 | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Waiver Possible | Contract | Type | Current Salary | 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 | Link |
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Alex Nedeljkovic | ![]() | G | 27 | 1/7/1996 5:10:31 PM | Yes | 189 Lbs | 6 ft0 | No | No | No | No | 3 | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | 3,500,000$ | 4,000,000$ | Link / NHL Link | |||||||
Andreas Athanasiou | ![]() | C/LW/RW | 29 | 8/6/1994 7:24:20 AM | No | 188 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 4,000,000$ | 4,000,000$ | 4,000,000$ | No | Link / NHL Link | |||||||||
Brandon Hagel | ![]() | LW | 25 | 8/27/1998 5:17:49 PM | No | 174 Lbs | 5 ft11 | No | No | No | No | 2 | Pro & Farm | 3,750,000$ | 3,750,000$ | 3,750,000$ | No | 3,750,000$ | Link / NHL Link | ||||||||
Brenden Dillon | ![]() | D | 33 | 11/13/1990 9:09:47 AM | No | 225 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 4,000,000$ | 4,000,000$ | 4,000,000$ | No | Link / NHL Link | |||||||||
Chris Tierney | ![]() | C/LW | 29 | 7/1/1994 4:00:25 AM | No | 195 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 3,000,000$ | 3,000,000$ | 3,000,000$ | No | Link / NHL Link | |||||||||
Filip Zadina | ![]() | LW/RW | 24 | 11/27/1999 6:15:00 AM | No | 195 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 2,250,000$ | 2,250,000$ | 2,250,000$ | No | 2,750,000$ | Link / NHL Link | ||||||||
Joel Armia | ![]() | RW | 30 | 5/31/1993 5:27:56 AM | No | 210 Lbs | 6 ft4 | No | No | No | No | 3 | Pro & Farm | 2,500,000$ | 2,500,000$ | 2,500,000$ | No | 2,500,000$ | 2,500,000$ | Link / NHL Link | |||||||
Lars Eller | ![]() | C | 34 | 5/8/1989 5:20:47 AM | No | 207 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 2,200,000$ | 2,200,000$ | 2,200,000$ | No | Link / NHL Link | |||||||||
Luke Schenn | ![]() | D | 34 | 7/12/1989 2:10:27 AM | No | 221 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 2,000,000$ | 2,000,000$ | 2,000,000$ | No | Link / NHL Link | |||||||||
Mats Zuccarello | ![]() | LW/RW | 36 | 7/12/1987 2:10:27 PM | No | 184 Lbs | 5 ft8 | No | No | No | No | 1 | Pro & Farm | 5,500,000$ | 5,500,000$ | 5,500,000$ | No | Link / NHL Link | |||||||||
Neal Pionk | ![]() | D | 28 | 7/29/1995 10:15:25 AM | No | 186 Lbs | 6 ft0 | No | No | No | No | 2 | Pro & Farm | 4,000,000$ | 4,000,000$ | 4,000,000$ | No | 4,500,000$ | Link / NHL Link | ||||||||
Nino Niederreiter | ![]() | LW/RW | 31 | 9/8/1992 5:11:04 AM | No | 218 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 5,000,000$ | 5,000,000$ | 5,000,000$ | No | 5,000,000$ | Link / NHL Link | ||||||||
Philippe Myers | ![]() | D | 26 | 1/25/1997 9:26:28 AM | No | 210 Lbs | 6 ft5 | No | No | No | No | 1 | Pro & Farm | 2,200,000$ | 2,200,000$ | 2,200,000$ | No | Link / NHL Link | |||||||||
Semyon Varlamov | ![]() | G | 35 | 4/27/1988 8:10:28 PM | No | 205 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 5,000,000$ | 5,000,000$ | 5,000,000$ | No | 5,000,000$ | Link / NHL Link | ||||||||
Wyatt Kalynuk | ![]() | D | 26 | 4/14/1997 7:01:15 AM | Yes | 180 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 475,000$ | 475,000$ | 475,000$ | No | Link / NHL Link | |||||||||
Zach Aston-Reese | ![]() | C/LW | 29 | 8/10/1994 11:01:36 AM | No | 204 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 1,500,000$ | 1,500,000$ | 1,500,000$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
16 | 29.75 | 199 Lbs | 6 ft1 | 1.56 | 3,148,438$ |
Sum Year 1 Salary | Sum Year 2 Salary | Sum Year 3 Salary | Sum Year 4 Salary | Sum Year 5 Salary |
---|---|---|---|---|
50,375,000$ | 27,000,000$ | 6,500,000$ | 0$ | 0$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Mats Zuccarello | Andreas Athanasiou | Nino Niederreiter | 25 | 1 | 2 | 2 |
2 | Chris Tierney | Lars Eller | 25 | 1 | 2 | 2 | |
3 | Zach Aston-Reese | Joel Armia | 25 | 1 | 2 | 2 | |
4 | Filip Zadina | 25 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Brenden Dillon | Neal Pionk | 25 | 1 | 2 | 2 | |
2 | 25 | 1 | 2 | 2 | |||
3 | Philippe Myers | Wyatt Kalynuk | 25 | 1 | 2 | 2 | |
4 | Brenden Dillon | Neal Pionk | 25 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Nino Niederreiter | Andreas Athanasiou | Mats Zuccarello | 50 | 1 | 2 | 2 |
2 | Chris Tierney | 50 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Brenden Dillon | Neal Pionk | 50 | 1 | 2 | 2 | |
2 | Philippe Myers | Wyatt Kalynuk | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Zach Aston-Reese | 50 | 1 | 2 | 2 | |
2 | Andreas Athanasiou | Joel Armia | 50 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Brenden Dillon | 50 | 1 | 2 | 2 | |
2 | Philippe Myers | 50 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Lars Eller | 50 | 1 | 2 | 2 | Brenden Dillon | Neal Pionk | 50 | 1 | 2 | 2 |
2 | Zach Aston-Reese | 50 | 1 | 2 | 2 | Philippe Myers | 50 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Andreas Athanasiou | Chris Tierney | 50 | 1 | 2 | 2 |
2 | Lars Eller | 50 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Brenden Dillon | Neal Pionk | 50 | 1 | 2 | 2 |
2 | Philippe Myers | 50 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nino Niederreiter | Andreas Athanasiou | Mats Zuccarello | Brenden Dillon | Neal Pionk |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Nino Niederreiter | Chris Tierney | Mats Zuccarello | Brenden Dillon | Neal Pionk |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Joel Armia, Zach Aston-Reese, | Andreas Athanasiou, Zach Aston-Reese |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Philippe Myers, , Brenden Dillon | Philippe Myers | , Brenden Dillon |
Penalty Shots |
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Nino Niederreiter, Chris Tierney, Mats Zuccarello, , Andreas Athanasiou |
Goalie |
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#1 : Alex Nedeljkovic, #2 : Semyon Varlamov |
Custom OT Lines Forwards |
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Nino Niederreiter, Chris Tierney, Mats Zuccarello, , Andreas Athanasiou, Lars Eller, Lars Eller, Joel Armia, Zach Aston-Reese, , Filip Zadina |
Custom OT Lines Defensemen |
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Brenden Dillon, Neal Pionk, , , Philippe Myers |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 |
Total For Players | ||||||||||||
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Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
All Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Last 10 Games | |||||
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W | L | OTW | OTL | SOW | SOL |
0 | 0 | 0 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
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0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
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0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Face Offs | ||||||||
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Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
Puck Time | |||||
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In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
0 | 0 | 0 | 0 | 0 | 0 |
Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
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Arena Capacity - Ticket Price Attendance - % | |||||
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Level 1 | Level 2 | Level 3 | Level 4 | Luxury | |
Capacity | 6000 | 5000 | 2000 | 3500 | 1000 |
Ticket Price | 58 | 30 | 20 | 10 | 130 |
Attendance | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Attendance PCT | 0.00% | 0.00% | 0.00% | 0.00% | 0.00% |
Income | |||||
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Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
41 | 0 - 0.00% | 0$ | 0$ | 17500 | 112 |
Expenses | ||||
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Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries | Special Salary Cap Value |
0$ | 50,375,000$ | 49,594,643$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Luxury Taxe Total | Players In Salary Cap | Players Out of Salary Cap |
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0$ | 0$ | 0$ | 16 | 0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
0$ | 0 | 0$ | 0$ |
Team Total Estimate | ||
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Estimated Season Expenses | Current Bank Account | Projected Bank Account |
0$ | 23,639,991$ | 23,639,991$ |
Estimated Season Salary Cap | Available Salary Cap | Maximum Salary Cap | Over Minimum Salary Cap |
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0$ | 70,000,000$ | 70,000,000$ | -43,000,000$ |
Left Wing | Center | Right Wing | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Defense #1 | Defense #2 | Goalie | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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Priority | Type | Description |
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1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Prospect | Team Name | Draft Year | Overall Pick | Information | Lien |
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Aaron Huglen | ![]() | 2019 | 116 | Link | |
Andrew Gibson | ![]() | 2023 | 47 | ||
Arttu Karki | ![]() | 2023 | 79 | ||
Brayden Yager | ![]() | 2023 | 15 | ||
Christopher Pelosi | ![]() | 2023 | 118 | ||
Conor Geekie | ![]() | 2022 | 12 | Link | |
Corson Ceulemans | ![]() | 2021 | 27 | Link | |
Daniel Torgersson | ![]() | 2020 | 42 | Link | |
Demetrios Koumontzis | ![]() | 2018 | 158 | Link | |
Dmitri Rashevsky | ![]() | 2021 | 151 | Link | |
Filip Sveningsson | ![]() | Link | |||
Hunter McDonald | ![]() | 2022 | 204 | Link | |
Jesper Sellgren | ![]() | 2018 | 189 | Link | |
Jesper Vikman | ![]() | 2020 | 146 | Link | |
Julian Lutz | ![]() | 2022 | 44 | Link | |
Kalan Lind | ![]() | 2023 | 42 | ||
Kristian Roykas Marthinsen | ![]() | Link | |||
Magnus Chrona | ![]() | 2018 | 164 | Link | |
Manix Landry | ![]() | 2021 | 148 | Link | |
Mason Langenbrunner | ![]() | 2020 | 137 | Link | |
Mason Millman | ![]() | 2019 | 146 | Link | |
Mathias Laferriere | ![]() | 2018 | 195 | Link | |
Matthew Hellickson | ![]() | Link | |||
Michael Vukojevic | ![]() | 2019 | 89 | Link | |
Nate Benoit | ![]() | 2021 | 210 | Link | |
Oliver Johansson | ![]() | 2021 | 86 | Link | |
Oskar Pettersson | ![]() | 2022 | 76 | Link | |
Philippe Daoust | ![]() | 2020 | 177 | Link | |
Robbie Stucker | ![]() | Link | |||
Samuel Walker | ![]() | Link | |||
Stanislav Yarovoi | ![]() | 2023 | 175 | ||
Terrell Goldsmith | ![]() | 2023 | 143 | ||
Tyrel Bauer | ![]() | 2020 | 184 | Link | |
Vadim Moroz | ![]() | 2023 | 111 | ||
Warren Clark | ![]() | 2023 | 207 | ||
William Francis | ![]() | 2019 | 193 | Link | |
William Reilly | ![]() | Link | |||
Wyatt Johnston | ![]() | 2021 | 24 | Link | |
Wyatt Kaiser | ![]() | 2020 | 84 | Link |
Year | R1 | R2 | R3 | R4 | R5 | R6 | R7 |
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2024 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2025 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2026 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2027 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
2028 | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() | ![]() |
# | 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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1 | Neal Pionk | 82 | 12 | 45 | 57 | -1 | 34 | 86 | 141 | 124 | 9.68% | 119 | 1937 | 23.63 | 9 | 9 | 18 | 65 | 0 | 0 | 0 | 0 | 1 | 1 | 0.00% | 0 | 0.59 | 0 | 0 |
2 | Mats Zuccarello | 82 | 25 | 30 | 55 | 12 | 40 | 121 | 100 | 211 | 11.85% | 10 | 1230 | 15.01 | 6 | 9 | 15 | 38 | 0 | 0 | 0 | 0 | 5 | 1 | 33.66 | 0 | 0.89 | 2 | 8 |
3 | Chris Tierney | 82 | 21 | 34 | 55 | 11 | 14 | 70 | 121 | 190 | 11.05% | 10 | 1335 | 16.28 | 1 | 16 | 17 | 35 | 0 | 0 | 0 | 0 | 4 | 2 | 48.29 | 0 | 0.82 | 3 | 9 |
4 | Nino Niederreiter | 82 | 27 | 24 | 51 | -2 | 34 | 109 | 96 | 201 | 13.43% | 10 | 1262 | 15.40 | 7 | 3 | 10 | 37 | 0 | 0 | 0 | 0 | 6 | 2 | 48.87 | 0 | 0.81 | 2 | 10 |
5 | Andreas Athanasiou | 84 | 17 | 34 | 51 | 4 | 26 | 138 | 113 | 197 | 8.63% | 14 | 1429 | 17.01 | 3 | 6 | 9 | 32 | 0 | 1 | 1 | 2 | 2 | 1 | 52.93 | 0 | 0.71 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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1 | Semyon Varlamov | 51 | 20 | 18 | 7 | 0.903 | 3.08 | 2768 | 6 | 4 | 142 | 1468 | 0 | 0 | 0 | 0.625 | 16 |
2 | Alex Nedeljkovic | 39 | 17 | 15 | 5 | 0.904 | 3.08 | 2223 | 6 | 2 | 114 | 1192 | 0 | 0 | 0 | 0.750 | 12 |
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 |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2022 | 82 | 29 | 33 | 0 | 4 | 6 | 4 | 6 | 232 | 262 | -30 | 41 | 15 | 14 | 0 | 3 | 4 | 1 | 4 | 127 | 130 | -3 | 41 | 14 | 19 | 0 | 1 | 2 | 3 | 2 | 105 | 132 | -27 | 86 | 232 | 409 | 641 | 0 | 6 | 78 | 80 | 66 | 12 | 2397 | 796 | 754 | 811 | 65 | 2660 | 814 | 705 | 2066 | 232 | 46 | 19.83% | 320 | 63 | 80.31% | 5 | 1350 | 2802 | 48.18% | 1496 | 3017 | 49.59% | 620 | 1275 | 48.63% | 1923 | 1331 | 2040 | 604 | 1033 | 507 |
Total Regular Season | 82 | 29 | 33 | 0 | 4 | 6 | 4 | 6 | 232 | 262 | -30 | 41 | 15 | 14 | 0 | 3 | 4 | 1 | 4 | 127 | 130 | -3 | 41 | 14 | 19 | 0 | 1 | 2 | 3 | 2 | 105 | 132 | -27 | 86 | 232 | 409 | 641 | 0 | 6 | 78 | 80 | 66 | 12 | 2397 | 796 | 754 | 811 | 65 | 2660 | 814 | 705 | 2066 | 232 | 46 | 19.83% | 320 | 63 | 80.31% | 5 | 1350 | 2802 | 48.18% | 1496 | 3017 | 49.59% | 620 | 1275 | 48.63% | 1923 | 1331 | 2040 | 604 | 1033 | 507 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Total Playoff | 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 | 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 |
# | 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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