Lake Erie Monsters | |
GP: 10 | W: 1 | L: 7 | OTL: 2 | P: 4 GF: 31 | GA: 47 | PP%: 38.71% | PK%: 44.83% GM : Remi Souliere | Morale : 41 | Team Overall : 56 |
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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 | Andrew Agozzino (A) | X | 100.00 | 69 | 66 | 76 | 67 | 66 | 70 | 72 | 67 | 80 | 61 | 67 | 66 | 64 | 59 | 59 | 67 | 44 | 62 | 0 | 30 | 1 | 800,000$ | ||||
2 | Lukas Elvenes (R) | X | X | 100.00 | 70 | 65 | 83 | 61 | 65 | 71 | 74 | 61 | 50 | 62 | 56 | 61 | 53 | 44 | 44 | 61 | 55 | 58 | X | 0 | 21 | 1 | 776,667$ | ||
3 | Turner Elson | X | 100.00 | 70 | 67 | 78 | 65 | 67 | 67 | 70 | 58 | 50 | 60 | 51 | 61 | 48 | 44 | 44 | 59 | 43 | 57 | 0 | 28 | 1 | 750,000$ | ||||
4 | Will Bitten (R) | X | X | 100.00 | 67 | 60 | 82 | 66 | 60 | 64 | 65 | 61 | 76 | 59 | 59 | 60 | 56 | 44 | 44 | 61 | 44 | 57 | 0 | 22 | 1 | 805,000$ | |||
5 | Oskar Steen | X | 100.00 | 71 | 65 | 85 | 68 | 65 | 64 | 66 | 58 | 73 | 53 | 58 | 61 | 55 | 44 | 44 | 60 | 44 | 57 | 0 | 23 | 1 | 809,167$ | ||||
6 | Ryan Suzuki (R) | X | 100.00 | 75 | 65 | 97 | 77 | 65 | 59 | 60 | 55 | 69 | 49 | 57 | 62 | 54 | 44 | 44 | 60 | 44 | 57 | 0 | 20 | 3 | 863,333$ | ||||
7 | Eduards Tralmaks (R) | X | X | 100.00 | 82 | 78 | 91 | 59 | 78 | 50 | 48 | 59 | 74 | 53 | 61 | 67 | 58 | 44 | 44 | 62 | 44 | 57 | 0 | 24 | 1 | 700,000$ | |||
8 | Marko Dano | X | X | 100.00 | 76 | 75 | 78 | 76 | 75 | 54 | 56 | 50 | 50 | 47 | 46 | 65 | 44 | 58 | 58 | 55 | 41 | 56 | 0 | 26 | 1 | 700,000$ | |||
9 | Bob Carpenter | X | X | 100.00 | 78 | 72 | 92 | 61 | 72 | 52 | 52 | 55 | 69 | 47 | 58 | 64 | 55 | 44 | 44 | 59 | 44 | 55 | 0 | 24 | 1 | 700,000$ | |||
10 | Jan Drozg | X | 100.00 | 73 | 66 | 89 | 63 | 66 | 64 | 67 | 52 | 50 | 43 | 56 | 61 | 53 | 44 | 44 | 58 | 45 | 54 | 0 | 22 | 1 | 809,166$ | ||||
11 | Giorgio Estephan | X | 100.00 | 79 | 71 | 96 | 52 | 71 | 58 | 60 | 53 | 66 | 53 | 48 | 64 | 46 | 44 | 44 | 56 | 40 | 54 | 0 | 24 | 1 | 700,000$ | ||||
12 | Micheal Haley | X | X | X | 100.00 | 77 | 94 | 42 | 66 | 72 | 41 | 42 | 50 | 53 | 48 | 54 | 56 | 25 | 62 | 63 | 59 | 40 | 53 | 0 | 35 | 1 | 700,000$ | ||
13 | Brandon Baddock | X | 100.00 | 69 | 82 | 39 | 66 | 82 | 59 | 62 | 49 | 50 | 46 | 46 | 58 | 44 | 44 | 44 | 52 | 44 | 53 | 0 | 26 | 1 | 750,000$ | ||||
14 | Zachary Gallant (R) | X | 100.00 | 67 | 70 | 59 | 62 | 70 | 61 | 65 | 49 | 61 | 47 | 45 | 57 | 43 | 44 | 44 | 52 | 40 | 52 | 0 | 22 | 1 | 786,667$ | ||||
15 | Albin Grewe (R) | X | X | 100.00 | 71 | 65 | 84 | 63 | 65 | 51 | 52 | 49 | 50 | 48 | 44 | 59 | 42 | 44 | 44 | 52 | 40 | 51 | 0 | 20 | 1 | 700,000$ | |||
16 | Zackary Hayes (R) | X | 100.00 | 80 | 80 | 79 | 64 | 80 | 67 | 73 | 47 | 25 | 37 | 41 | 63 | 39 | 44 | 44 | 53 | 49 | 58 | 0 | 22 | 2 | 805,000$ | ||||
17 | Joe Hicketts (A) | X | 100.00 | 69 | 63 | 83 | 67 | 63 | 63 | 66 | 54 | 25 | 53 | 40 | 60 | 38 | 49 | 49 | 54 | 45 | 57 | 0 | 25 | 2 | 750,000$ | ||||
18 | Dysin Mayo | X | 100.00 | 76 | 73 | 82 | 64 | 73 | 66 | 72 | 45 | 25 | 34 | 40 | 62 | 38 | 51 | 51 | 52 | 45 | 57 | 0 | 24 | 1 | 750,000$ | ||||
19 | Mikko Kokkonen (R) | X | 100.00 | 78 | 69 | 99 | 59 | 69 | 54 | 54 | 56 | 25 | 54 | 43 | 64 | 41 | 44 | 44 | 56 | 40 | 56 | 0 | 20 | 1 | 700,000$ | ||||
20 | Alexander Yelesin | X | 100.00 | 74 | 71 | 81 | 68 | 71 | 59 | 62 | 47 | 25 | 38 | 41 | 60 | 39 | 44 | 44 | 52 | 48 | 55 | 0 | 25 | 1 | 700,000$ | ||||
21 | Tyler Tucker (R) | X | 100.00 | 73 | 76 | 66 | 59 | 76 | 61 | 65 | 48 | 25 | 40 | 40 | 60 | 38 | 44 | 44 | 51 | 40 | 55 | 0 | 21 | 2 | 808,333$ | ||||
22 | Mitchell Vande Sompel (R) | X | 100.00 | 75 | 70 | 87 | 62 | 70 | 43 | 42 | 49 | 25 | 43 | 39 | 61 | 37 | 44 | 44 | 51 | 45 | 53 | 0 | 24 | 1 | 725,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Ondrej Kase | X | X | 100.00 | 56 | 39 | 86 | 86 | 70 | 70 | 34 | 69 | 31 | 71 | 61 | 59 | 75 | 59 | 60 | 57 | 46 | 62 | 0 | 25 | 1 | 1,250,000$ | |||
2 | Patrick Harper (R) | X | 100.00 | 66 | 53 | 95 | 63 | 53 | 50 | 51 | 48 | 60 | 46 | 44 | 56 | 42 | 44 | 44 | 51 | 40 | 50 | 0 | 22 | 1 | 925,000$ | ||||
TEAM AVERAGE | 100.00 | 73 | 69 | 80 | 65 | 69 | 59 | 60 | 54 | 49 | 50 | 50 | 61 | 47 | 47 | 47 | 56 | 44 | 56 |
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 | Pheonix Copley | 100.00 | 54 | 57 | 71 | 82 | 51 | 57 | 56 | 61 | 58 | 58 | 30 | 46 | 46 | 56 | 45 | 58 | 0 | 29 | 1 | 1,100,000$ | |
2 | Ryan Bednard (R) | 100.00 | 56 | 51 | 64 | 86 | 58 | 56 | 54 | 60 | 56 | 55 | 30 | 44 | 44 | 56 | 52 | 57 | 0 | 24 | 1 | 817,500$ | |
3 | Daniil Tarasov (R) | 100.00 | 50 | 55 | 69 | 80 | 49 | 51 | 50 | 55 | 49 | 49 | 30 | 44 | 44 | 51 | 44 | 53 | 0 | 22 | 1 | 925,000$ | |
Scratches | |||||||||||||||||||||||
1 | Angus Redmond (R) | 100.00 | 47 | 47 | 59 | 76 | 46 | 46 | 51 | 53 | 48 | 48 | 30 | 44 | 44 | 48 | 40 | 51 | 0 | 25 | 1 | 750,000$ | |
TEAM AVERAGE | 100.00 | 52 | 53 | 66 | 81 | 51 | 53 | 53 | 57 | 53 | 53 | 30 | 45 | 45 | 53 | 45 | 55 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Brunette | 65 | 70 | 75 | 66 | 71 | 66 | 78 | CAN | 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 | Andrew Agozzino | Lake Erie Monsters (CLF) | C | 10 | 3 | 10 | 13 | -4 | 38 | 10 | 13 | 26 | 64 | 16 | 35 | 4.69% | 5 | 235 | 23.54 | 1 | 3 | 4 | 3 | 19 | 0 | 0 | 0 | 0 | 16 | 0 | 0 | 56.80% | 250 | 10 | 5 | 0 | 0 | 1.10 | 1 | 2 | 1 | 0 | 1 | 0 | 0 | 0 |
2 | Ondrej Kase | Lake Erie Monsters (CLF) | LW/RW | 9 | 7 | 5 | 12 | -3 | 2 | 0 | 15 | 11 | 44 | 9 | 27 | 15.91% | 7 | 222 | 24.76 | 2 | 2 | 4 | 7 | 21 | 0 | 0 | 0 | 0 | 17 | 0 | 0 | 58.33% | 12 | 10 | 3 | 0 | 0 | 1.08 | 0 | 2 | 0 | 0 | 0 | 1 | 2 | 0 |
3 | Turner Elson | Lake Erie Monsters (CLF) | LW | 10 | 6 | 5 | 11 | 1 | 21 | 5 | 9 | 17 | 24 | 8 | 15 | 25.00% | 3 | 180 | 18.03 | 3 | 2 | 5 | 3 | 16 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 77.78% | 9 | 7 | 4 | 0 | 0 | 1.22 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 1 |
4 | Will Bitten | Lake Erie Monsters (CLF) | C/RW | 10 | 5 | 6 | 11 | 1 | 2 | 0 | 17 | 21 | 39 | 9 | 22 | 12.82% | 2 | 196 | 19.65 | 3 | 4 | 7 | 6 | 18 | 0 | 0 | 0 | 1 | 8 | 1 | 2 | 59.12% | 137 | 13 | 7 | 0 | 0 | 1.12 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
5 | Marko Dano | Lake Erie Monsters (CLF) | LW/RW | 10 | 2 | 3 | 5 | 1 | 11 | 5 | 18 | 13 | 21 | 5 | 10 | 9.52% | 5 | 182 | 18.24 | 1 | 1 | 2 | 2 | 17 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 28.57% | 7 | 3 | 6 | 0 | 0 | 0.55 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
6 | Lukas Elvenes | Lake Erie Monsters (CLF) | LW/RW | 10 | 2 | 3 | 5 | -2 | 25 | 25 | 14 | 10 | 23 | 8 | 15 | 8.70% | 6 | 161 | 16.13 | 0 | 2 | 2 | 1 | 21 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 50.00% | 14 | 3 | 4 | 0 | 0 | 0.62 | 0 | 1 | 2 | 0 | 3 | 0 | 0 | 0 |
7 | Oskar Steen | Lake Erie Monsters (CLF) | C | 10 | 3 | 1 | 4 | -5 | 0 | 0 | 4 | 19 | 17 | 5 | 10 | 17.65% | 5 | 132 | 13.23 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 67.57% | 74 | 4 | 2 | 0 | 0 | 0.60 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 |
8 | Zackary Hayes | Lake Erie Monsters (CLF) | D | 10 | 1 | 3 | 4 | -3 | 29 | 25 | 16 | 14 | 20 | 3 | 4 | 5.00% | 14 | 263 | 26.36 | 1 | 1 | 2 | 2 | 26 | 0 | 0 | 0 | 1 | 21 | 0 | 0 | 0.00% | 0 | 1 | 10 | 0 | 0 | 0.30 | 0 | 0 | 1 | 1 | 3 | 0 | 0 | 0 |
9 | Mitchell Vande Sompel | Lake Erie Monsters (CLF) | D | 10 | 0 | 3 | 3 | -2 | 9 | 5 | 7 | 9 | 2 | 3 | 3 | 0.00% | 6 | 142 | 14.22 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 0.00% | 0 | 0 | 3 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
10 | Jan Drozg | Lake Erie Monsters (CLF) | LW | 10 | 1 | 1 | 2 | -2 | 7 | 5 | 4 | 9 | 5 | 0 | 3 | 20.00% | 2 | 89 | 8.97 | 0 | 0 | 0 | 0 | 4 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 32.35% | 34 | 0 | 3 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
11 | Joe Hicketts | Lake Erie Monsters (CLF) | D | 10 | 0 | 2 | 2 | -4 | 9 | 5 | 4 | 9 | 6 | 3 | 4 | 0.00% | 10 | 203 | 20.37 | 0 | 1 | 1 | 0 | 15 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 0.00% | 0 | 0 | 1 | 0 | 0 | 0.20 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
12 | Thomas Harley | Golden Seals | D | 7 | 0 | 2 | 2 | -7 | 11 | 5 | 17 | 13 | 14 | 5 | 2 | 0.00% | 9 | 190 | 27.15 | 0 | 1 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 10 | 0 | 0 | 0.00% | 0 | 4 | 7 | 0 | 0 | 0.21 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
13 | Eduards Tralmaks | Lake Erie Monsters (CLF) | C/LW | 10 | 0 | 2 | 2 | -5 | 0 | 0 | 8 | 7 | 8 | 3 | 8 | 0.00% | 1 | 109 | 10.92 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 60.00% | 5 | 8 | 3 | 0 | 0 | 0.37 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Mikko Kokkonen | Lake Erie Monsters (CLF) | D | 3 | 1 | 1 | 2 | 3 | 5 | 5 | 2 | 5 | 3 | 1 | 1 | 33.33% | 4 | 74 | 24.91 | 1 | 0 | 1 | 1 | 4 | 0 | 0 | 0 | 0 | 8 | 0 | 0 | 0.00% | 0 | 2 | 3 | 0 | 0 | 0.54 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
15 | Alexander Yelesin | Lake Erie Monsters (CLF) | D | 10 | 0 | 1 | 1 | -5 | 26 | 10 | 7 | 7 | 4 | 1 | 4 | 0.00% | 5 | 137 | 13.75 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0.00% | 0 | 0 | 8 | 0 | 0 | 0.15 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 |
16 | Dysin Mayo | Lake Erie Monsters (CLF) | D | 10 | 0 | 1 | 1 | -2 | 9 | 5 | 13 | 12 | 4 | 2 | 5 | 0.00% | 11 | 196 | 19.63 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 12 | 0 | 0 | 0.00% | 0 | 0 | 6 | 0 | 0 | 0.10 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 |
17 | Brandon Baddock | Lake Erie Monsters (CLF) | LW | 10 | 0 | 0 | 0 | -2 | 2 | 0 | 7 | 2 | 2 | 0 | 3 | 0.00% | 0 | 36 | 3.64 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 50.00% | 2 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
18 | Ryan Suzuki | Lake Erie Monsters (CLF) | C | 10 | 0 | 0 | 0 | -5 | 0 | 0 | 10 | 8 | 10 | 9 | 8 | 0.00% | 7 | 97 | 9.77 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 65.71% | 35 | 3 | 6 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
19 | Bob Carpenter | Lake Erie Monsters (CLF) | C/LW | 10 | 0 | 0 | 0 | -5 | 0 | 0 | 8 | 8 | 14 | 0 | 7 | 0.00% | 1 | 97 | 9.78 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 100.00% | 2 | 2 | 2 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 179 | 31 | 49 | 80 | -50 | 206 | 110 | 193 | 220 | 324 | 90 | 186 | 9.57% | 103 | 2949 | 16.48 | 12 | 17 | 29 | 26 | 206 | 0 | 0 | 0 | 4 | 142 | 1 | 3 | 57.83% | 581 | 70 | 83 | 0 | 0 | 0.54 | 1 | 5 | 5 | 4 | 13 | 2 | 3 | 1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Pheonix Copley | Lake Erie Monsters (CLF) | 10 | 1 | 6 | 2 | 0.860 | 4.64 | 530 | 0 | 0 | 41 | 292 | 167 | 2 | 0 | 0.200 | 5 | 10 | 0 | 0 | 0 | 1 |
2 | Daniil Tarasov | Lake Erie Monsters (CLF) | 3 | 0 | 1 | 0 | 0.923 | 3.04 | 79 | 0 | 0 | 4 | 52 | 27 | 0 | 0 | 0.000 | 0 | 0 | 10 | 0 | 0 | 0 |
Team Total or Average | 13 | 1 | 7 | 2 | 0.869 | 4.43 | 610 | 0 | 0 | 45 | 344 | 194 | 2 | 0 | 0.200 | 5 | 10 | 10 | 0 | 0 | 1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Albin Grewe | Lake Erie Monsters (CLF) | LW/RW | 20 | 2001-03-22 | Yes | 176 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | ||||||||||
Alexander Yelesin | Lake Erie Monsters (CLF) | D | 25 | 1996-02-06 | No | 195 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Andrew Agozzino | Lake Erie Monsters (CLF) | C | 30 | 1991-01-02 | No | 187 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link | |||||||||
Angus Redmond | Lake Erie Monsters (CLF) | G | 25 | 1995-10-02 | Yes | 197 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Bob Carpenter | Lake Erie Monsters (CLF) | C/LW | 24 | 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 | 26 | 1995-03-28 | No | 221 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Daniil Tarasov | Lake Erie Monsters (CLF) | G | 22 | 1999-03-27 | Yes | 185 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | ||||||||||
Dysin Mayo | Lake Erie Monsters (CLF) | D | 24 | 1996-08-17 | No | 195 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Eduards Tralmaks | Lake Erie Monsters (CLF) | C/LW | 24 | 1997-02-17 | Yes | 209 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Giorgio Estephan | Lake Erie Monsters (CLF) | C | 24 | 1997-02-03 | No | 196 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Jan Drozg | Lake Erie Monsters (CLF) | LW | 22 | 1999-04-01 | No | 174 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 809,166$ | 0$ | 0$ | No | Link | |||||||||
Joe Hicketts | Lake Erie Monsters (CLF) | D | 25 | 1996-05-04 | No | 180 Lbs | 5 ft8 | No | No | No | 2 | Pro & Farm | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
Lukas Elvenes | Lake Erie Monsters (CLF) | LW/RW | 21 | 1999-08-18 | Yes | 172 Lbs | 6 ft1 | No | Yes | No | 1 | Pro & Farm | 776,667$ | 0$ | 0$ | No | Link | |||||||||
Marko Dano | Lake Erie Monsters (CLF) | LW/RW | 26 | 1994-11-30 | No | 212 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Micheal Haley | Lake Erie Monsters (CLF) | C/LW/RW | 35 | 1986-03-30 | No | 202 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link | |||||||||
Mikko Kokkonen | Lake Erie Monsters (CLF) | D | 20 | 2001-01-18 | Yes | 194 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 700,000$ | 0$ | 0$ | No | ||||||||||
Mitchell Vande Sompel | Lake Erie Monsters (CLF) | D | 24 | 1997-02-11 | Yes | 198 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 725,000$ | 0$ | 0$ | No | Link | |||||||||
Ondrej Kase | Lake Erie Monsters (CLF) | LW/RW | 25 | 1995-11-08 | No | 190 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,250,000$ | 0$ | 0$ | No | Link | |||||||||
Oskar Steen | Lake Erie Monsters (CLF) | C | 23 | 1998-03-09 | No | 188 Lbs | 5 ft9 | No | No | No | 1 | Pro & Farm | 809,167$ | 0$ | 0$ | No | Link | |||||||||
Patrick Harper | Lake Erie Monsters (CLF) | C | 22 | 1998-07-29 | Yes | 150 Lbs | 5 ft7 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | ||||||||||
Pheonix Copley | Lake Erie Monsters (CLF) | G | 29 | 1992-01-18 | No | 198 Lbs | 6 ft4 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | Link | |||||||||
Ryan Bednard | Lake Erie Monsters (CLF) | G | 24 | 1997-03-31 | Yes | 205 Lbs | 6 ft5 | No | No | No | 1 | Pro & Farm | 817,500$ | 0$ | 0$ | No | Link | |||||||||
Ryan Suzuki | Lake Erie Monsters (CLF) | C | 20 | 2001-05-28 | Yes | 176 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 863,333$ | 0$ | 0$ | No | 863,333$ | 863,333$ | ||||||||
Turner Elson | Lake Erie Monsters (CLF) | LW | 28 | 1992-09-12 | No | 184 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link | |||||||||
Tyler Tucker | Lake Erie Monsters (CLF) | D | 21 | 2000-03-01 | Yes | 205 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 808,333$ | 0$ | 0$ | No | 808,333$ | |||||||||
Will Bitten | Lake Erie Monsters (CLF) | C/RW | 22 | 1998-07-10 | Yes | 168 Lbs | 5 ft10 | No | No | No | 1 | Pro & Farm | 805,000$ | 0$ | 0$ | No | Link | |||||||||
Zachary Gallant | Lake Erie Monsters (CLF) | C | 22 | 1999-03-06 | Yes | 188 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 786,667$ | 0$ | 0$ | No | ||||||||||
Zackary Hayes | Lake Erie Monsters (CLF) | D | 22 | 1999-04-24 | Yes | 218 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 805,000$ | 0$ | 0$ | No | 805,000$ | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
28 | 24.11 | 192 Lbs | 6 ft1 | 1.18 | 798,423$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Andrew Agozzino | 40 | 0 | 2 | 3 | ||
2 | Will Bitten | Marko Dano | 30 | 0 | 2 | 3 | |
3 | Eduards Tralmaks | Oskar Steen | Andrew Agozzino | 20 | 0 | 2 | 3 |
4 | Bob Carpenter | Ryan Suzuki | 10 | 0 | 2 | 3 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mikko Kokkonen | 44 | 1 | 2 | 2 | ||
2 | Joe Hicketts | Dysin Mayo | 33 | 1 | 2 | 2 | |
3 | Alexander Yelesin | Mitchell Vande Sompel | 23 | 1 | 2 | 2 | |
4 | 0 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Andrew Agozzino | 60 | 0 | 0 | 5 | ||
2 | Will Bitten | Marko Dano | 40 | 0 | 0 | 5 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Mikko Kokkonen | 60 | 0 | 0 | 5 | ||
2 | Joe Hicketts | Dysin Mayo | 40 | 0 | 0 | 5 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Andrew Agozzino | 60 | 0 | 4 | 1 | |
2 | Will Bitten | 40 | 0 | 4 | 1 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mikko Kokkonen | 60 | 2 | 3 | 0 | |
2 | Joe Hicketts | Dysin Mayo | 40 | 2 | 3 | 0 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | Andrew Agozzino | 60 | 1 | 2 | 2 | Mikko Kokkonen | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 | Joe Hicketts | Dysin Mayo | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Andrew Agozzino | 60 | 1 | 2 | 2 | |
2 | Will Bitten | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Mikko Kokkonen | 60 | 1 | 2 | 2 | |
2 | Joe Hicketts | Dysin Mayo | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Andrew Agozzino | Mikko Kokkonen |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Andrew Agozzino | Mikko Kokkonen |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Jan Drozg, Brandon Baddock, Oskar Steen | Jan Drozg, Brandon Baddock | Oskar Steen |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Alexander Yelesin, Mitchell Vande Sompel, Joe Hicketts | Alexander Yelesin | Mitchell Vande Sompel, Joe Hicketts |
Penalty Shots |
---|
Andrew Agozzino, , , Will Bitten, |
Goalie |
---|
#1 : , #2 : Daniil Tarasov |
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 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 9 | 17 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 4 | 6 | -2 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 5 | 11 | -6 | 0 | 0.000 | 9 | 13 | 22 | 0 | 0 | 5 | 12 | 14 | 1 | 92 | 97 | 139 | 90 | 6 | 95 | 33 | 63 | 61 | 6 | 1 | 16.67% | 9 | 4 | 55.56% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 |
2 | London Knights | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 6 | 10 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 0 | 0.000 | 6 | 11 | 17 | 0 | 0 | 5 | 12 | 14 | 1 | 66 | 97 | 139 | 90 | 6 | 69 | 16 | 21 | 27 | 7 | 2 | 28.57% | 3 | 1 | 66.67% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 |
3 | Sherbrooke Phoenix | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | 7 | -2 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 2 | -1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | 5 | -1 | 2 | 0.500 | 5 | 7 | 12 | 0 | 0 | 5 | 12 | 14 | 1 | 61 | 97 | 139 | 90 | 6 | 56 | 18 | 52 | 58 | 10 | 5 | 50.00% | 6 | 3 | 50.00% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 |
4 | Toronto Marlies | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 5 | 12 | 14 | 1 | 54 | 97 | 139 | 90 | 6 | 45 | 13 | 17 | 18 | 2 | 1 | 50.00% | 6 | 5 | 16.67% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 |
5 | TroisRivieres Lions | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 8 | 7 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 3 | 3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 4 | -2 | 2 | 0.500 | 8 | 12 | 20 | 0 | 0 | 5 | 12 | 14 | 1 | 54 | 97 | 139 | 90 | 6 | 79 | 24 | 55 | 31 | 6 | 3 | 50.00% | 5 | 3 | 40.00% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 |
Total | 10 | 1 | 7 | 0 | 0 | 0 | 0 | 2 | 31 | 47 | -16 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 17 | 22 | -5 | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 14 | 25 | -11 | 4 | 0.200 | 31 | 49 | 80 | 0 | 0 | 5 | 12 | 14 | 1 | 327 | 97 | 139 | 90 | 6 | 344 | 104 | 208 | 195 | 31 | 12 | 38.71% | 29 | 16 | 44.83% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 | |
_Since Last GM Reset | 10 | 1 | 7 | 0 | 0 | 0 | 0 | 2 | 31 | 47 | -16 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 17 | 22 | -5 | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 14 | 25 | -11 | 4 | 0.200 | 31 | 49 | 80 | 0 | 0 | 5 | 12 | 14 | 1 | 327 | 97 | 139 | 90 | 6 | 344 | 104 | 208 | 195 | 31 | 12 | 38.71% | 29 | 16 | 44.83% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 | |
_Vs Conference | 10 | 1 | 7 | 0 | 0 | 0 | 0 | 2 | 31 | 47 | -16 | 5 | 1 | 3 | 0 | 0 | 0 | 0 | 1 | 17 | 22 | -5 | 5 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 14 | 25 | -11 | 4 | 0.200 | 31 | 49 | 80 | 0 | 0 | 5 | 12 | 14 | 1 | 327 | 97 | 139 | 90 | 6 | 344 | 104 | 208 | 195 | 31 | 12 | 38.71% | 29 | 16 | 44.83% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 | |
_Vs Division | 3 | 1 | 6 | 0 | 0 | 0 | 0 | 2 | 9 | 17 | -8 | 1 | 1 | 2 | 0 | 0 | 0 | 0 | 1 | 4 | 6 | -2 | 2 | 0 | 4 | 0 | 0 | 0 | 0 | 1 | 5 | 11 | -6 | 4 | 0.667 | 9 | 13 | 22 | 0 | 0 | 5 | 12 | 14 | 1 | 92 | 97 | 139 | 90 | 6 | 95 | 33 | 63 | 61 | 6 | 1 | 16.67% | 9 | 4 | 55.56% | 0 | 114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% | 219 | 115 | 192 | 91 | 198 | 105 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
10 | 4 | L1 | 31 | 49 | 80 | 327 | 344 | 104 | 208 | 195 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 1 | 7 | 0 | 0 | 0 | 2 | 31 | 47 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 1 | 3 | 0 | 0 | 0 | 1 | 17 | 22 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 0 | 4 | 0 | 0 | 0 | 1 | 14 | 25 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
1 | 7 | 0 | 0 | 0 | 2 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
31 | 12 | 38.71% | 29 | 16 | 44.83% | 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 |
---|---|---|---|---|---|---|---|
97 | 139 | 90 | 6 | 5 | 12 | 14 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
114 | 191 | 59.69% | 121 | 210 | 57.62% | 101 | 182 | 55.49% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
219 | 115 | 192 | 91 | 198 | 105 |
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 - 2021-09-13 | 5 | London Knights | 5 | Lake Erie Monsters | 3 | BL | BoxScore | |||
2 - 2021-09-14 | 17 | Lake Erie Monsters | 3 | Calgary Hitman | 7 | AL | BoxScore | |||
3 - 2021-09-15 | 42 | Sherbrooke Phoenix | 2 | Lake Erie Monsters | 1 | BL | X | X | BoxScore | |
4 - 2021-09-16 | 49 | Lake Erie Monsters | 3 | London Knights | 5 | AL | BoxScore | |||
5 - 2021-09-17 | 65 | Lake Erie Monsters | 2 | Calgary Hitman | 4 | AL | BoxScore | |||
7 - 2021-09-19 | 89 | Calgary Hitman | 6 | Lake Erie Monsters | 4 | BL | BoxScore | |||
8 - 2021-09-20 | 108 | Lake Erie Monsters | 4 | Sherbrooke Phoenix | 5 | AL | X | X | BoxScore | |
9 - 2021-09-21 | 116 | Lake Erie Monsters | 2 | TroisRivieres Lions | 4 | AL | BoxScore | |||
10 - 2021-09-22 | 126 | TroisRivieres Lions | 3 | Lake Erie Monsters | 6 | BW | BoxScore | |||
12 - 2021-09-24 | 153 | Toronto Marlies | 6 | Lake Erie Monsters | 3 | BL | 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$ | 2,235,584$ | 2,235,584$ | 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 |
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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 |
---|