Lake Erie Monsters | |
GP: 10 | W: 6 | L: 4 | OTL: 0 | P: 12 GF: 62 | GA: 69 | PP%: 35.71% | PK%: 48.28% GM : Remi Souliere | Morale : 66 | Team Overall : 55 |
|
|
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 | Oskar Steen | 0 | X | 100.00 | 81 | 44 | 90 | 68 | 65 | 59 | 73 | 60 | 31 | 65 | 59 | 70 | 25 | 46 | 46 | 65 | 50 | 60 | 0 | 24 | 2 | 800,000$ | ||||
2 | Jonatan Berggren (R) | 0 | X | X | X | 100.00 | 75 | 69 | 89 | 69 | 69 | 57 | 56 | 65 | 80 | 65 | 61 | 65 | 58 | 44 | 44 | 65 | 50 | 60 | 0 | 21 | 1 | 700,000$ | ||
3 | Turner Elson | 0 | X | 100.00 | 73 | 67 | 87 | 65 | 67 | 75 | 79 | 61 | 50 | 57 | 60 | 63 | 57 | 44 | 44 | 63 | 50 | 59 | 0 | 29 | 2 | 762,500$ | ||||
4 | Lukas Elvenes | 0 | X | X | 100.00 | 72 | 65 | 89 | 70 | 65 | 55 | 54 | 61 | 50 | 62 | 56 | 62 | 53 | 44 | 44 | 61 | 50 | 57 | 0 | 22 | 1 | 700,000$ | |||
5 | Will Bitten (R) | 0 | X | X | 100.00 | 74 | 66 | 91 | 63 | 66 | 56 | 56 | 58 | 73 | 55 | 57 | 63 | 54 | 44 | 44 | 61 | 50 | 56 | 0 | 23 | 2 | 762,500$ | |||
6 | Ryan Suzuki (R) | 0 | X | 100.00 | 70 | 65 | 83 | 77 | 65 | 53 | 53 | 56 | 70 | 50 | 58 | 60 | 55 | 44 | 44 | 60 | 50 | 56 | 0 | 21 | 2 | 863,333$ | ||||
7 | Ryan Olsen (R) | 0 | X | 100.00 | 74 | 69 | 86 | 69 | 69 | 38 | 37 | 45 | 56 | 38 | 46 | 59 | 44 | 44 | 44 | 51 | 50 | 50 | 0 | 28 | 1 | 700,000$ | ||||
8 | Bob Carpenter | 0 | X | X | 100.00 | 78 | 72 | 93 | 65 | 72 | 36 | 35 | 44 | 55 | 38 | 44 | 61 | 42 | 44 | 44 | 50 | 50 | 49 | 0 | 25 | 1 | 700,000$ | |||
9 | Joe Hicketts | 0 | X | 100.00 | 69 | 63 | 83 | 67 | 63 | 62 | 64 | 57 | 25 | 46 | 53 | 61 | 50 | 49 | 49 | 59 | 50 | 57 | 0 | 26 | 1 | 750,000$ | ||||
10 | Tyler Tucker (R) | 0 | X | 100.00 | 71 | 76 | 58 | 63 | 76 | 63 | 67 | 48 | 25 | 40 | 40 | 59 | 38 | 44 | 44 | 50 | 50 | 55 | 0 | 22 | 1 | 808,333$ | ||||
11 | Jacob Friend (R) | 0 | X | 100.00 | 62 | 68 | 49 | 64 | 68 | 38 | 37 | 44 | 25 | 32 | 41 | 53 | 39 | 44 | 44 | 46 | 50 | 49 | 0 | 24 | 1 | 700,000$ | ||||
Scratches | ||||||||||||||||||||||||||||||
1 | Eduards Tralmaks | 0 | X | X | 100.00 | 80 | 78 | 83 | 59 | 78 | 54 | 53 | 60 | 75 | 53 | 62 | 66 | 59 | 44 | 44 | 63 | 50 | 57 | 0 | 25 | 0 | 0$ | |||
2 | Jan Drozg (R) | 0 | X | 100.00 | 73 | 66 | 89 | 63 | 66 | 54 | 56 | 50 | 50 | 48 | 48 | 60 | 46 | 44 | 44 | 54 | 50 | 53 | 0 | 23 | 0 | 0$ | ||||
3 | Brandon Baddock | 0 | X | 100.00 | 70 | 82 | 42 | 66 | 82 | 64 | 69 | 48 | 50 | 44 | 46 | 58 | 44 | 44 | 44 | 52 | 50 | 53 | 0 | 27 | 0 | 0$ | ||||
4 | Zachary Gallant (R) | 0 | X | 100.00 | 71 | 72 | 67 | 61 | 72 | 50 | 51 | 50 | 63 | 49 | 46 | 59 | 44 | 44 | 44 | 53 | 50 | 52 | 0 | 23 | 0 | 0$ | ||||
5 | Mitchell Vande Sompel | 0 | X | 100.00 | 75 | 70 | 88 | 62 | 70 | 56 | 58 | 50 | 25 | 46 | 40 | 61 | 38 | 44 | 44 | 53 | 50 | 55 | 0 | 25 | 0 | 0$ | ||||
TEAM AVERAGE | 100.00 | 73 | 68 | 79 | 66 | 70 | 54 | 56 | 54 | 50 | 49 | 51 | 61 | 47 | 44 | 44 | 57 | 50 | 55 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | |||||||||||||||||||||||
1 | Ryan Bednard (R) | 100.00 | 44 | 40 | 50 | 86 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 45 | 50 | 49 | 0 | 25 | 0 | 0$ | |
TEAM AVERAGE | 100.00 | 44 | 40 | 50 | 86 | 45 | 44 | 45 | 49 | 45 | 45 | 45 | 44 | 44 | 45 | 50 | 49 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Anders Sorensen | 69 | 66 | 69 | 66 | 73 | 68 | 78 | SWE | 47 | 1 | 60,000$ |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Will Bitten | Lake Erie Monsters (CLF) | C/RW | 10 | 5 | 12 | 17 | -5 | 0 | 0 | 10 | 15 | 80 | 32 | 47 | 6.25% | 3 | 210 | 21.09 | 1 | 4 | 5 | 5 | 21 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 21.09 | 216 | 14 | 3 | 0 | 0 | 1.61 | 0 | 0 | 0 | 0 | 0 | 3 | 1 | 1 |
2 | Joe Hicketts | Lake Erie Monsters (CLF) | D | 10 | 0 | 12 | 12 | -12 | 4 | 0 | 8 | 9 | 40 | 25 | 21 | 0.00% | 8 | 171 | 17.12 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 3 | 9 | 0 | 0 | 1.40 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | 2 |
3 | Dysin Mayo | Golden Seals | D | 7 | 0 | 5 | 5 | 0 | 10 | 10 | 6 | 6 | 37 | 18 | 23 | 0.00% | 6 | 141 | 20.16 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 6 | 4 | 0 | 0 | 0.71 | 0 | 0 | 1 | 1 | 0 | 1 | 1 | 0 |
Team Total or Average | 27 | 5 | 29 | 34 | -17 | 14 | 10 | 24 | 30 | 157 | 75 | 91 | 3.18% | 17 | 523 | 19.38 | 1 | 4 | 5 | 5 | 21 | 0 | 0 | 0 | 0 | 4 | 3 | 0 | 67.13% | 216 | 23 | 16 | 0 | 0 | 1.30 | 0 | 0 | 1 | 1 | 0 | 4 | 5 | 3 |
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 |
---|
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 | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Bob Carpenter | Lake Erie Monsters (CLF) | C/LW | 25 | 1996-08-15 | No | 200 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Brandon Baddock | Lake Erie Monsters (CLF) | LW | 27 | 1995-03-28 | No | 221 Lbs | 6 ft3 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
Eduards Tralmaks | Lake Erie Monsters (CLF) | C/LW | 25 | 1997-02-17 | No | 209 Lbs | 6 ft4 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link | ||||||||||
Jacob Friend | Lake Erie Monsters (CLF) | D | 24 | 1997-07-28 | Yes | 182 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | ||||||||||
Jan Drozg | Lake Erie Monsters (CLF) | LW | 23 | 1999-04-01 | Yes | 174 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
Joe Hicketts | Lake Erie Monsters (CLF) | D | 26 | 1996-05-04 | No | 180 Lbs | 5 ft8 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Jonatan Berggren | Lake Erie Monsters (CLF) | C/LW/RW | 21 | 2000-07-16 | Yes | 194 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | ||||||||||
Lukas Elvenes | Lake Erie Monsters (CLF) | LW/RW | 22 | 1999-08-18 | No | 172 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Mitchell Vande Sompel | Lake Erie Monsters (CLF) | D | 25 | 1997-02-11 | No | 198 Lbs | 5 ft11 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
Oskar Steen | Lake Erie Monsters (CLF) | C | 24 | 1998-03-09 | No | 188 Lbs | 5 ft9 | No | No | No | 2 | Pro & Farm | 800,000$ | 0$ | 0$ | No | 800,000$ | Link / NHL Link | ||||||||
Ryan Bednard | Lake Erie Monsters (CLF) | G | 25 | 1997-03-31 | Yes | 205 Lbs | 6 ft5 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | ||||||||||
Ryan Olsen | Lake Erie Monsters (CLF) | C | 28 | 1994-03-25 | Yes | 187 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Ryan Suzuki | Lake Erie Monsters (CLF) | C | 21 | 2001-05-28 | Yes | 176 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | Link / NHL Link | ||||||||
Turner Elson | Lake Erie Monsters (CLF) | LW | 29 | 1992-09-12 | No | 184 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | Link / NHL Link | ||||||||
Tyler Tucker | Lake Erie Monsters (CLF) | D | 22 | 2000-03-01 | Yes | 205 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 808,333$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
Will Bitten | Lake Erie Monsters (CLF) | C/RW | 23 | 1998-07-10 | Yes | 181 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 762,500$ | 0$ | 0$ | No | 762,500$ | Link / NHL Link | ||||||||
Zachary Gallant | Lake Erie Monsters (CLF) | C | 23 | 1999-03-06 | Yes | 194 Lbs | 6 ft2 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
17 | 24.29 | 191 Lbs | 6 ft1 | 0.88 | 485,098$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Will Bitten | 40 | 0 | 2 | 3 | ||
2 | 30 | 0 | 2 | 3 | |||
3 | 20 | 1 | 2 | 2 | |||
4 | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 44 | 1 | 2 | 1 | |||
2 | Joe Hicketts | 33 | 1 | 3 | 1 | ||
3 | 23 | 1 | 3 | 1 | |||
4 | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Will Bitten | 60 | 0 | 0 | 5 | ||
2 | 40 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | 60 | 0 | 0 | 5 | |||
2 | Joe Hicketts | 40 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | 60 | 0 | 4 | 1 | ||
2 | 40 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 2 | 3 | 0 | ||
2 | Joe Hicketts | 40 | 2 | 3 | 0 |
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 | Joe Hicketts | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Will Bitten | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | ||
2 | Joe Hicketts | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Will Bitten |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Joe Hicketts | , Joe Hicketts |
Penalty Shots |
---|
, , , Will Bitten, |
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 |
1 | Calgary Hitman | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 13 | -2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 0.500 | 11 | 21 | 32 | 0 | 0 | 12 | 22 | 24 | 4 | 74 | 129 | 114 | 116 | 5 | 56 | 13 | 13 | 25 | 9 | 3 | 33.33% | 4 | 2 | 50.00% | 1 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 |
2 | Chicoutimi Sagueneens | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 5 | 10 | 15 | 0 | 0 | 12 | 22 | 24 | 4 | 37 | 129 | 114 | 116 | 5 | 39 | 13 | 13 | 10 | 1 | 1 | 100.00% | 4 | 1 | 75.00% | 0 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 |
3 | London Knights | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 0 | 26 | 17 | 9 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 18 | 10 | 8 | 6 | 1.000 | 26 | 48 | 74 | 0 | 0 | 12 | 22 | 24 | 4 | 113 | 129 | 114 | 116 | 5 | 50 | 22 | 4 | 47 | 12 | 5 | 41.67% | 2 | 0 | 100.00% | 0 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 |
4 | Sherbrooke Phoenix | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 11 | 21 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 14 | -11 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 8 | 7 | 1 | 2 | 0.500 | 11 | 21 | 32 | 0 | 0 | 12 | 22 | 24 | 4 | 74 | 129 | 114 | 116 | 5 | 108 | 25 | 24 | 34 | 0 | 0 | 0.00% | 12 | 6 | 50.00% | 0 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 |
5 | TroisRivieres Lions | 2 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 9 | 10 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 6 | 5 | 1 | 2 | 0.500 | 9 | 18 | 27 | 1 | 0 | 12 | 22 | 24 | 4 | 66 | 129 | 114 | 116 | 5 | 39 | 18 | 14 | 36 | 6 | 1 | 16.67% | 7 | 6 | 14.29% | 1 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 |
Total | 10 | 2 | 4 | 0 | 4 | 0 | 0 | 0 | 62 | 69 | -7 | 5 | 0 | 3 | 0 | 2 | 0 | 0 | 0 | 27 | 41 | -14 | 5 | 2 | 1 | 0 | 2 | 0 | 0 | 0 | 35 | 28 | 7 | 12 | 0.600 | 62 | 118 | 180 | 1 | 0 | 12 | 22 | 24 | 4 | 364 | 129 | 114 | 116 | 5 | 292 | 91 | 68 | 152 | 28 | 10 | 35.71% | 29 | 15 | 48.28% | 2 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 | |
_Since Last GM Reset | 10 | 2 | 4 | 0 | 4 | 0 | 0 | 0 | 62 | 69 | -7 | 5 | 0 | 3 | 0 | 2 | 0 | 0 | 0 | 27 | 41 | -14 | 5 | 2 | 1 | 0 | 2 | 0 | 0 | 0 | 35 | 28 | 7 | 12 | 0.600 | 62 | 118 | 180 | 1 | 0 | 12 | 22 | 24 | 4 | 364 | 129 | 114 | 116 | 5 | 292 | 91 | 68 | 152 | 28 | 10 | 35.71% | 29 | 15 | 48.28% | 2 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 | |
_Vs Conference | 9 | 2 | 3 | 0 | 4 | 0 | 0 | 0 | 57 | 61 | -4 | 4 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 22 | 33 | -11 | 5 | 2 | 1 | 0 | 2 | 0 | 0 | 0 | 35 | 28 | 7 | 12 | 0.667 | 57 | 108 | 165 | 1 | 0 | 12 | 22 | 24 | 4 | 327 | 129 | 114 | 116 | 5 | 253 | 78 | 55 | 142 | 27 | 9 | 33.33% | 25 | 14 | 44.00% | 2 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 | |
_Vs Division | 2 | 2 | 3 | 0 | 4 | 0 | 0 | 0 | 11 | 13 | -2 | 1 | 0 | 2 | 0 | 2 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 2 | 1 | 0 | 2 | 0 | 0 | 0 | 3 | 6 | -3 | 12 | 3.000 | 11 | 21 | 32 | 0 | 0 | 12 | 22 | 24 | 4 | 74 | 129 | 114 | 116 | 5 | 56 | 13 | 13 | 25 | 9 | 3 | 33.33% | 4 | 2 | 50.00% | 1 | 77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% | 224 | 137 | 201 | 97 | 178 | 83 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
10 | 12 | OTW1 | 62 | 118 | 180 | 364 | 292 | 91 | 68 | 152 | 1 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 2 | 4 | 4 | 0 | 0 | 0 | 62 | 69 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 0 | 3 | 2 | 0 | 0 | 0 | 27 | 41 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 2 | 1 | 2 | 0 | 0 | 0 | 35 | 28 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
2 | 4 | 4 | 0 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
28 | 10 | 35.71% | 29 | 15 | 48.28% | 2 |
Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
---|---|---|---|---|---|---|---|
129 | 114 | 116 | 5 | 12 | 22 | 24 | 4 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
77 | 169 | 45.56% | 68 | 137 | 49.64% | 133 | 244 | 54.51% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
224 | 137 | 201 | 97 | 178 | 83 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
1 - 2022-09-25 | 5 | Sherbrooke Phoenix | 14 | Lake Erie Monsters | 3 | BL | BoxScore | |||
2 - 2022-09-26 | 21 | Lake Erie Monsters | 6 | TroisRivieres Lions | 5 | AW | X | BoxScore | ||
4 - 2022-09-28 | 40 | Chicoutimi Sagueneens | 8 | Lake Erie Monsters | 5 | BL | BoxScore | |||
6 - 2022-09-30 | 67 | TroisRivieres Lions | 5 | Lake Erie Monsters | 3 | BL | BoxScore | |||
7 - 2022-10-01 | 72 | Lake Erie Monsters | 3 | Calgary Hitman | 6 | AL | BoxScore | |||
9 - 2022-10-03 | 93 | Lake Erie Monsters | 8 | Sherbrooke Phoenix | 7 | AW | X | BoxScore | ||
10 - 2022-10-04 | 104 | London Knights | 7 | Lake Erie Monsters | 8 | BW | X | BoxScore | ||
11 - 2022-10-05 | 114 | Lake Erie Monsters | 10 | London Knights | 4 | AW | BoxScore | |||
13 - 2022-10-07 | 138 | Lake Erie Monsters | 8 | London Knights | 6 | AW | BoxScore | |||
14 - 2022-10-08 | 146 | Calgary Hitman | 7 | Lake Erie Monsters | 8 | BW | X | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 30 | 10 |
Attendance | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 824,666$ | 824,666$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 0$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Lukas Elvenes | 394 | 294 | 404 | 698 | 71 | 583 | 557 | 521 | 1689 | 17.41% | 275 | 7677 | 19.49 | 50 | 119 | 169 | 210 | 0 | 0 | 0 | 1 | 33 | 21 | 42.97 | 14 | 1.82 | 4 | 20 |
2 | Andrew Agozzino | 324 | 248 | 392 | 640 | 52 | 108 | 540 | 516 | 1260 | 19.68% | 176 | 6638 | 20.49 | 48 | 100 | 148 | 116 | 8 | 0 | 8 | 8 | 20 | 8 | 52.30 | 8 | 1.93 | 8 | 20 |
3 | Matt Puempel | 320 | 256 | 240 | 496 | 108 | 544 | 592 | 384 | 1424 | 17.98% | 216 | 5793 | 18.11 | 40 | 44 | 84 | 116 | 0 | 0 | 0 | 0 | 20 | 20 | 46.76 | 12 | 1.71 | 16 | 28 |
4 | Jason Robertson | 164 | 140 | 184 | 324 | -40 | 244 | 276 | 216 | 744 | 18.82% | 140 | 3311 | 20.19 | 52 | 36 | 88 | 100 | 0 | 0 | 0 | 0 | 12 | 4 | 45.88 | 4 | 1.96 | 4 | 16 |
5 | JC Lipon | 320 | 164 | 160 | 324 | 40 | 504 | 612 | 348 | 1092 | 15.02% | 96 | 5046 | 15.77 | 20 | 28 | 48 | 80 | 0 | 0 | 0 | 0 | 12 | 0 | 46.77 | 12 | 1.28 | 4 | 4 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Ryan Bednard | 198 | 118 | 71 | 9 | 0.875 | 4.88 | 11965 | 26 | 0 | 974 | 7774 | 4745 | 5 | 4 | 0.689 | 45 |
2 | Pheonix Copley | 101 | 56 | 29 | 16 | 0.890 | 4.02 | 6127 | 2 | 0 | 410 | 3738 | 2131 | 4 | 2 | 0.489 | 45 |
3 | Daniil Tarasov | 3 | 0 | 3 | 0 | 0.826 | 6.33 | 180 | 0 | 0 | 19 | 109 | 65 | 1 | 0 | 0.00% | 0 |
Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Year | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 82 | 32 | 34 | 0 | 5 | 4 | 4 | 3 | 436 | 447 | -11 | 41 | 13 | 18 | 0 | 2 | 2 | 3 | 3 | 211 | 230 | -19 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 225 | 217 | 8 | 89 | 436 | 705 | 1141 | 2 | 0 | 98 | 168 | 161 | 15 | 3161 | 927 | 1127 | 1073 | 55 | 3117 | 1033 | 1896 | 1850 | 219 | 72 | 32.88% | 266 | 104 | 60.90% | 6 | 880 | 1743 | 50.49% | 886 | 1655 | 53.53% | 855 | 1646 | 51.94% | 1723 | 955 | 1718 | 763 | 1528 | 759 |
2020 | 82 | 32 | 34 | 0 | 5 | 4 | 4 | 3 | 436 | 447 | -11 | 41 | 13 | 18 | 0 | 2 | 2 | 3 | 3 | 211 | 230 | -19 | 41 | 19 | 16 | 0 | 3 | 2 | 1 | 0 | 225 | 217 | 8 | 89 | 436 | 705 | 1141 | 2 | 0 | 98 | 168 | 161 | 15 | 3161 | 927 | 1127 | 1073 | 55 | 3117 | 1033 | 1896 | 1850 | 219 | 72 | 32.88% | 266 | 104 | 60.90% | 6 | 880 | 1743 | 50.49% | 886 | 1655 | 53.53% | 855 | 1646 | 51.94% | 1723 | 955 | 1718 | 763 | 1528 | 759 |
2021 | 78 | 31 | 31 | 0 | 2 | 8 | 1 | 5 | 326 | 342 | -16 | 39 | 12 | 17 | 0 | 1 | 5 | 1 | 3 | 153 | 174 | -21 | 39 | 19 | 14 | 0 | 1 | 3 | 0 | 2 | 173 | 168 | 5 | 81 | 326 | 537 | 863 | 2 | 0 | 60 | 125 | 138 | 5 | 2925 | 894 | 1055 | 966 | 27 | 2963 | 982 | 1507 | 1628 | 201 | 62 | 30.85% | 226 | 59 | 73.89% | 2 | 821 | 1650 | 49.76% | 881 | 1727 | 51.01% | 747 | 1432 | 52.16% | 1600 | 880 | 1658 | 751 | 1470 | 717 |
Total Regular Season | 242 | 95 | 99 | 0 | 12 | 16 | 9 | 11 | 1198 | 1236 | -38 | 121 | 38 | 53 | 0 | 5 | 9 | 7 | 9 | 575 | 634 | -59 | 121 | 57 | 46 | 0 | 7 | 7 | 2 | 2 | 623 | 602 | 21 | 259 | 1198 | 1947 | 3145 | 6 | 0 | 256 | 461 | 460 | 35 | 9247 | 2748 | 3309 | 3112 | 137 | 9197 | 3048 | 5299 | 5328 | 639 | 206 | 32.24% | 758 | 267 | 64.78% | 14 | 2581 | 5136 | 50.25% | 2653 | 5037 | 52.67% | 2457 | 4724 | 52.01% | 5047 | 2791 | 5095 | 2277 | 4527 | 2236 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 15 | 22 | 37 | 0 | 0 | 4 | 6 | 4 | 1 | 162 | 47 | 63 | 48 | 4 | 199 | 67 | 102 | 95 | 23 | 8 | 34.78% | 11 | 3 | 72.73% | 0 | 62 | 113 | 54.87% | 54 | 122 | 44.26% | 33 | 83 | 39.76% | 98 | 52 | 116 | 50 | 93 | 45 |
Total Playoff | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 6 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 15 | -6 | 2 | 15 | 22 | 37 | 0 | 0 | 4 | 6 | 4 | 1 | 162 | 47 | 63 | 48 | 4 | 199 | 67 | 102 | 95 | 23 | 8 | 34.78% | 11 | 3 | 72.73% | 0 | 62 | 113 | 54.87% | 54 | 122 | 44.26% | 33 | 83 | 39.76% | 98 | 52 | 116 | 50 | 93 | 45 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Matt Puempel | 5 | 5 | 6 | 11 | -1 | 10 | 4 | 9 | 19 | 26.32% | 7 | 99 | 19.94 | 3 | 3 | 6 | 5 | 0 | 0 | 0 | 0 | 1 | 1 | 44.44 | 1 | 2.21 | 0 | 0 |
2 | Lukas Elvenes | 5 | 5 | 4 | 9 | -2 | 7 | 5 | 11 | 21 | 23.81% | 3 | 99 | 19.85 | 3 | 1 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 0 | 37.50 | 0 | 1.81 | 0 | 0 |
3 | Andrew Agozzino | 5 | 1 | 6 | 7 | -1 | 5 | 6 | 4 | 7 | 14.29% | 2 | 100 | 20.18 | 1 | 5 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 49.03 | 0 | 1.39 | 0 | 0 |
4 | JC Lipon | 5 | 1 | 1 | 2 | -6 | 14 | 7 | 3 | 20 | 5.00% | 2 | 82 | 16.47 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0.49 | 0 | 0 |
5 | Marko Dano | 5 | 0 | 2 | 2 | -1 | 4 | 9 | 5 | 11 | 0.00% | 3 | 74 | 15.00 | 0 | 1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 33.33 | 0 | 0.53 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pheonix Copley | 5 | 1 | 3 | 1 | 0.894 | 4.12 | 306 | 0 | 0 | 21 | 199 | 117 | 0 | 0 | 0.00% | 0 |