![]() | Ontario Reign |
GP: 19 | W: 16 | L: 3 | OTL: 0 | P: 32 GF: 94 | GA: 61 | PP%: 16.67% | PK%: 76.60% GM : Dustin Mooy | Morale : 60 | Team Overall : 54 Next Games #323 vs Calgary Wranglers |
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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 | Nicolas Deslauriers | 25 | X | X | 100.00 | 91 | 86 | 84 | 61 | 90 | 60 | 94 | 58 | 53 | 68 | 61 | 72 | 54 | 72 | 60 | 0 | 60 | 67 | 0 | 32 | 4 | 1,750,000$ | |||
2 | Michael Raffl | 19 | X | X | 100.00 | 71 | 38 | 86 | 67 | 76 | 67 | 86 | 57 | 56 | 64 | 59 | 76 | 54 | 69 | 56 | 0 | 60 | 66 | 0 | 34 | 1 | 750,000$ | |||
3 | Mason Shaw (C) | 26 | X | 100.00 | 69 | 71 | 75 | 64 | 70 | 63 | 69 | 61 | 59 | 68 | 63 | 73 | 54 | 57 | 57 | 0 | 60 | 65 | 0 | 25 | 1 | 750,000$ | ||||
4 | Carl Hagelin (A) | 13 | X | X | 100.00 | 61 | 38 | 81 | 60 | 64 | 66 | 79 | 59 | 50 | 67 | 57 | 69 | 51 | 73 | 57 | 0 | 60 | 63 | 0 | 35 | 1 | 750,000$ | |||
5 | Adam Beckman | 23 | X | 100.00 | 55 | 56 | 69 | 64 | 63 | 66 | 62 | 59 | 54 | 58 | 61 | 61 | 56 | 55 | 53 | 0 | 60 | 60 | 0 | 22 | 2 | 894,167$ | ||||
6 | Tyler Benson | 81 | X | 100.00 | 62 | 51 | 73 | 59 | 66 | 60 | 61 | 56 | 54 | 60 | 57 | 62 | 54 | 59 | 57 | 0 | 60 | 60 | 0 | 25 | 1 | 750,000$ | ||||
7 | Parker Bell | 79 | X | 100.00 | 51 | 51 | 65 | 51 | 62 | 51 | 51 | 51 | 52 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 60 | 52 | 0 | 20 | 1 | 750,000$ | ||||
8 | Amadeus Lombardi | 76 | X | 100.00 | 51 | 51 | 65 | 51 | 52 | 51 | 51 | 51 | 67 | 51 | 51 | 57 | 51 | 49 | 48 | 0 | 60 | 52 | 0 | 20 | 1 | 750,000$ | ||||
9 | Maximilian Kilpinen (R) | 77 | X | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | |||
10 | Joshua Bloom (R) | 24 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
11 | Mikey Milne (R) | 78 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 21 | 4 | 750,000$ | ||||
12 | Bryce McConnell-Barker (R) | 83 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
13 | Mark Borowiecki | 80 | X | 100.00 | 72 | 68 | 74 | 59 | 79 | 67 | 69 | 52 | 40 | 61 | 54 | 68 | 54 | 69 | 65 | 0 | 60 | 62 | 0 | 34 | 1 | 900,000$ | ||||
14 | Christian Kyrou (R) | 85 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | ||||
15 | Elias Pettersson (R) | 70 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
16 | Marek Alscher (R) | 84 | X | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 19 | 4 | 750,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 56 | 52 | 62 | 53 | 59 | 54 | 59 | 51 | 50 | 54 | 52 | 57 | 50 | 54 | 51 | 0 | 60 | 54 |
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 | Cayden Primeau | 34 | 100.00 | 62 | 64 | 65 | 70 | 66 | 62 | 66 | 66 | 60 | 60 | 63 | 58 | 54 | 0 | 60 | 64 | 0 | 24 | 3 | 890,000$ | |
2 | Mason Beaupit (R) | 39 | 100.00 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 45 | 0 | 60 | 45 | 0 | 20 | 4 | 750,000$ | |
Scratches | ||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 54 | 55 | 55 | 58 | 56 | 54 | 56 | 56 | 53 | 53 | 54 | 52 | 50 | 0 | 60 | 55 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Hynes | 75 | 75 | 75 | 75 | 75 | 75 | 75 | USA | 48 | 3 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Mason Shaw | ![]() | C | 19 | 12 | 14 | 26 | 14 | 24 | 10 | 46 | 71 | 138 | 32 | 100 | 8.70% | 18 | 378 | 19.95 | 1 | 1 | 2 | 19 | 48 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 54.21% | 487 | 0 | 0 | 0 | 0 | 1.37 | 0 | 0 | 1 | 0 | 1 | 6 | 3 | 0 |
2 | Adam Beckman | ![]() | C | 19 | 15 | 6 | 21 | 9 | 4 | 0 | 23 | 51 | 75 | 23 | 58 | 20.00% | 3 | 276 | 14.56 | 2 | 0 | 2 | 9 | 28 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 51.44% | 416 | 0 | 0 | 0 | 0 | 1.52 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 1 |
3 | Carl Hagelin | ![]() | LW/RW | 19 | 5 | 16 | 21 | 9 | 0 | 0 | 17 | 51 | 83 | 20 | 56 | 6.02% | 11 | 280 | 14.77 | 1 | 2 | 3 | 16 | 28 | 0 | 0 | 0 | 0 | 2 | 3 | 1 | 53.13% | 32 | 0 | 0 | 0 | 0 | 1.50 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 3 |
4 | Tyler Benson | ![]() | LW | 19 | 9 | 12 | 21 | 5 | 7 | 5 | 29 | 43 | 88 | 22 | 54 | 10.23% | 10 | 287 | 15.15 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 | 62.50% | 24 | 0 | 0 | 0 | 1 | 1.46 | 0 | 0 | 0 | 0 | 1 | 2 | 2 | 2 |
5 | Amadeus Lombardi | ![]() | C | 19 | 6 | 12 | 18 | 5 | 6 | 0 | 19 | 25 | 50 | 16 | 50 | 12.00% | 2 | 284 | 14.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 50.00% | 18 | 0 | 0 | 0 | 0 | 1.27 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 2 |
6 | Maximilian Kilpinen | ![]() | C/LW | 19 | 2 | 5 | 7 | 16 | 10 | 0 | 26 | 14 | 9 | 7 | 12 | 22.22% | 3 | 367 | 19.36 | 0 | 0 | 0 | 2 | 28 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 45.75% | 153 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
7 | Bryce McConnell-Barker | ![]() | C | 19 | 2 | 5 | 7 | 5 | 4 | 0 | 17 | 34 | 21 | 4 | 16 | 9.52% | 0 | 284 | 14.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.69% | 403 | 0 | 0 | 0 | 0 | 0.49 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 |
8 | Christian Kyrou | ![]() | D | 19 | 2 | 3 | 5 | 18 | 10 | 0 | 36 | 10 | 7 | 4 | 3 | 28.57% | 19 | 292 | 15.37 | 1 | 0 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
9 | Marek Alscher | ![]() | D | 19 | 2 | 3 | 5 | 4 | 12 | 0 | 32 | 10 | 7 | 1 | 12 | 28.57% | 11 | 242 | 12.75 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.41 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 |
10 | Joshua Bloom | ![]() | LW | 19 | 1 | 3 | 4 | 8 | 4 | 0 | 7 | 11 | 9 | 2 | 17 | 11.11% | 0 | 100 | 5.26 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 62.50% | 8 | 0 | 0 | 0 | 0 | 0.80 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 |
11 | Parker Bell | ![]() | LW | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0.00% | 0 | 2 | 0.13 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 2 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
12 | Mikey Milne | ![]() | LW | 19 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 2 | 2 | 0 | 1 | 0.00% | 0 | 26 | 1.37 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 31.03% | 29 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 228 | 56 | 79 | 135 | 93 | 81 | 15 | 258 | 322 | 490 | 132 | 379 | 11.43% | 77 | 2822 | 12.38 | 5 | 3 | 8 | 48 | 145 | 0 | 0 | 0 | 0 | 6 | 9 | 3 | 48.79% | 1572 | 0 | 0 | 0 | 1 | 0.96 | 0 | 0 | 1 | 0 | 2 | 16 | 14 | 12 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Adam Beckman | ![]() | C | 22 | 5/10/2001 | No | 182 Lbs | 6 ft2 | No | No | No | No | 2 | Pro & Farm | 894,167$ | 0$ | 0$ | No | 894,167$ | Link | ||||||||
Amadeus Lombardi | ![]() | C | 20 | 6/5/2003 | No | 165 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Bryce McConnell-Barker | ![]() | C | 19 | 6/4/2004 2:31:23 AM | Yes | 194 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Carl Hagelin | ![]() | LW/RW | 35 | 8/23/1988 | No | 183 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Cayden Primeau | ![]() | G | 24 | 8/11/1999 | No | 199 Lbs | 6 ft2 | No | No | No | No | 3 | Pro & Farm | 890,000$ | 0$ | 0$ | No | 890,000$ | 890,000$ | Link | |||||||
Christian Kyrou | ![]() | D | 20 | 9/16/2003 3:24:38 AM | Yes | 72 Lbs | 5 ft10 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Elias Pettersson | ![]() | D | 19 | 2/16/2004 8:14:59 AM | Yes | 185 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Joshua Bloom | ![]() | LW | 20 | 6/8/2003 10:27:09 AM | Yes | 183 Lbs | 6 ft2 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Marek Alscher | ![]() | D | 19 | 4/7/2004 2:30:04 AM | Yes | 198 Lbs | 6 ft3 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Mark Borowiecki | ![]() | D | 34 | 7/12/1989 | No | 204 Lbs | 6 ft2 | No | No | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link | |||||||||
Mason Beaupit | ![]() | G | 20 | 9/23/2003 2:47:38 AM | Yes | 185 Lbs | 6 ft5 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Mason Shaw | ![]() | C | 25 | 11/3/1998 | No | 184 Lbs | 5 ft10 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Maximilian Kilpinen | ![]() | C/LW | 19 | 2/13/2004 2:55:57 AM | Yes | 174 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Michael Raffl | ![]() | LW/RW | 34 | 12/1/1988 | No | 205 Lbs | 6 ft1 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Mikey Milne | ![]() | LW | 21 | 9/21/2002 5:13:06 AM | Yes | 85 Lbs | 5 ft11 | No | No | No | No | 4 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | 750,000$ | 750,000$ | |||||||
Nicolas Deslauriers (1 Way Contract) | ![]() | LW/RW | 32 | 2/22/1991 | No | 220 Lbs | 6 ft1 | No | No | No | No | 4 | Pro & Farm | 1,750,000$ | 1,750,000$ | 1,303,385$ | No | 1,750,000$ | 1,750,000$ | 1,750,000$ | Link | ||||||
Parker Bell | ![]() | LW | 20 | 9/26/2003 | No | 192 Lbs | 6 ft4 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Tyler Benson | ![]() | LW | 25 | 3/15/1998 | No | 190 Lbs | 6 ft0 | No | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
18 | 23.78 | 178 Lbs | 6 ft1 | 2.67 | 829,676$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Mason Shaw | 30 | 1 | 2 | 2 | ||
2 | Carl Hagelin | Adam Beckman | Maximilian Kilpinen | 30 | 1 | 2 | 2 |
3 | Tyler Benson | Bryce McConnell-Barker | Amadeus Lombardi | 25 | 1 | 2 | 2 |
4 | Joshua Bloom | Maximilian Kilpinen | 15 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 30 | 1 | 2 | 2 | |||
2 | Christian Kyrou | 30 | 1 | 2 | 2 | ||
3 | Marek Alscher | 25 | 1 | 2 | 2 | ||
4 | 15 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Mason Shaw | 60 | 1 | 2 | 2 | ||
2 | Carl Hagelin | Adam Beckman | Maximilian Kilpinen | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 1 | 2 | 2 | |||
2 | Christian Kyrou | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Carl Hagelin | Tyler Benson | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Christian Kyrou | 40 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
2 | 40 | 1 | 2 | 2 | Christian Kyrou | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Carl Hagelin | Tyler Benson | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Christian Kyrou | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Mason Shaw |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Mason Shaw |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Mikey Milne, Parker Bell, Bryce McConnell-Barker | Mikey Milne, Parker Bell | Bryce McConnell-Barker |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, Christian Kyrou, Marek Alscher | , Christian Kyrou |
Penalty Shots |
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, , Carl Hagelin, Tyler Benson, Mason Shaw |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, , Carl Hagelin, Tyler Benson, Mason Shaw, Adam Beckman, Adam Beckman, Bryce McConnell-Barker, Maximilian Kilpinen, Amadeus Lombardi, Joshua Bloom |
Custom OT Lines Defensemen |
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, , , Christian Kyrou, Marek Alscher |
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 |
1 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 3 | 5 | 8 | 0 | 0 | 41 | 32 | 19 | 2 | 39 | 285 | 297 | 289 | 11 | 33 | 17 | 8 | 20 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
2 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 1.000 | 5 | 9 | 14 | 0 | 0 | 41 | 32 | 19 | 2 | 38 | 285 | 297 | 289 | 11 | 29 | 9 | 0 | 23 | 3 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
3 | ![]() | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 17 | 8 | 9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 5 | 4 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 4 | 8 | 6 | 1.000 | 17 | 31 | 48 | 0 | 0 | 41 | 32 | 19 | 2 | 152 | 285 | 297 | 289 | 11 | 138 | 38 | 15 | 68 | 9 | 4 | 44.44% | 5 | 1 | 80.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
4 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 11 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 8 | -4 | 2 | 0.500 | 8 | 15 | 23 | 0 | 0 | 41 | 32 | 19 | 2 | 90 | 285 | 297 | 289 | 11 | 82 | 25 | 10 | 32 | 4 | 0 | 0.00% | 5 | 2 | 60.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
5 | ![]() | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 16 | 8 | 8 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 11 | 7 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 1 | 4 | 4 | 0.667 | 16 | 30 | 46 | 0 | 0 | 41 | 32 | 19 | 2 | 174 | 285 | 297 | 289 | 11 | 126 | 35 | 16 | 77 | 11 | 3 | 27.27% | 7 | 2 | 71.43% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
6 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 2 | 3 | 2 | 1.000 | 5 | 10 | 15 | 0 | 0 | 41 | 32 | 19 | 2 | 40 | 285 | 297 | 289 | 11 | 29 | 7 | 6 | 28 | 4 | 0 | 0.00% | 3 | 0 | 100.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
7 | ![]() | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 4 | 3 | 1 | 2 | 1.000 | 4 | 8 | 12 | 0 | 0 | 41 | 32 | 19 | 2 | 36 | 285 | 297 | 289 | 11 | 34 | 5 | 8 | 23 | 5 | 0 | 0.00% | 4 | 2 | 50.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
8 | ![]() | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1.000 | 5 | 7 | 12 | 0 | 0 | 41 | 32 | 19 | 2 | 47 | 285 | 297 | 289 | 11 | 48 | 7 | 7 | 22 | 0 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
9 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 41 | 32 | 19 | 2 | 88 | 285 | 297 | 289 | 11 | 74 | 15 | 16 | 48 | 3 | 0 | 0.00% | 7 | 2 | 71.43% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
10 | ![]() | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 10 | 6 | 4 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 3 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 4 | 1.000 | 10 | 19 | 29 | 0 | 0 | 41 | 32 | 19 | 2 | 88 | 285 | 297 | 289 | 11 | 72 | 23 | 10 | 52 | 4 | 0 | 0.00% | 5 | 0 | 100.00% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
11 | ![]() | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 9 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0.500 | 10 | 18 | 28 | 0 | 0 | 41 | 32 | 19 | 2 | 90 | 285 | 297 | 289 | 11 | 64 | 28 | 17 | 51 | 4 | 1 | 25.00% | 6 | 2 | 66.67% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
Total | 19 | 14 | 3 | 0 | 2 | 0 | 0 | 0 | 94 | 61 | 33 | 10 | 7 | 2 | 0 | 1 | 0 | 0 | 0 | 48 | 34 | 14 | 9 | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 46 | 27 | 19 | 32 | 0.842 | 94 | 172 | 266 | 0 | 0 | 41 | 32 | 19 | 2 | 882 | 285 | 297 | 289 | 11 | 729 | 209 | 113 | 444 | 48 | 8 | 16.67% | 47 | 11 | 76.60% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 | |
_Since Last GM Reset | 19 | 14 | 3 | 0 | 2 | 0 | 0 | 0 | 94 | 61 | 33 | 10 | 7 | 2 | 0 | 1 | 0 | 0 | 0 | 48 | 34 | 14 | 9 | 7 | 1 | 0 | 1 | 0 | 0 | 0 | 46 | 27 | 19 | 32 | 0.842 | 94 | 172 | 266 | 0 | 0 | 41 | 32 | 19 | 2 | 882 | 285 | 297 | 289 | 11 | 729 | 209 | 113 | 444 | 48 | 8 | 16.67% | 47 | 11 | 76.60% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 | |
_Vs Conference | 17 | 12 | 3 | 0 | 2 | 0 | 0 | 0 | 86 | 57 | 29 | 9 | 6 | 2 | 0 | 1 | 0 | 0 | 0 | 45 | 32 | 13 | 8 | 6 | 1 | 0 | 1 | 0 | 0 | 0 | 41 | 25 | 16 | 28 | 0.824 | 86 | 157 | 243 | 0 | 0 | 41 | 32 | 19 | 2 | 803 | 285 | 297 | 289 | 11 | 667 | 185 | 99 | 396 | 43 | 8 | 18.60% | 40 | 11 | 72.50% | 0 | 376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% | 458 | 332 | 455 | 131 | 230 | 113 |
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 |
19 | 32 | W11 | 94 | 172 | 266 | 882 | 729 | 209 | 113 | 444 | 0 | 0 |
All Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
19 | 14 | 3 | 2 | 0 | 0 | 0 | 94 | 61 |
Home Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 7 | 2 | 1 | 0 | 0 | 0 | 48 | 34 |
Visitor Games | ||||||||
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GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
9 | 7 | 1 | 1 | 0 | 0 | 0 | 46 | 27 |
Last 10 Games | |||||
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W | L | OTW | OTL | SOW | SOL |
10 | 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 |
---|---|---|---|---|---|---|
48 | 8 | 16.67% | 47 | 11 | 76.60% | 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 |
---|---|---|---|---|---|---|---|
285 | 297 | 289 | 11 | 41 | 32 | 19 | 2 |
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 % |
376 | 771 | 48.77% | 335 | 679 | 49.34% | 152 | 318 | 47.80% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
458 | 332 | 455 | 131 | 230 | 113 |
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 |
Arena Capacity - Ticket Price Attendance - % | ||
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Level 1 | Level 2 | |
Capacity | 4500 | 3500 |
Ticket Price | 35 | 0 |
Attendance | 44,004 | 34,564 |
Attendance PCT | 97.79% | 98.75% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
24 | 7857 - 98.21% | 154,014$ | 1,540,140$ | 8000 | 100 |
Expenses | |||
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Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
365,001$ | 1,318,417$ | 718,417$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 365,001$ | 0 | 0 |
Estimate | |||
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Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,696,336$ | 128 | 7,449$ | 953,472$ |
# | 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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