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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Daniel Sprong (A) | X | 100.00 | 67 | 42 | 94 | 82 | 67 | 61 | 85 | 66 | 33 | 62 | 73 | 57 | 75 | 60 | 60 | 69 | 48 | 64 | 0 | ||||
2 | Matt Puempel | X | 100.00 | 77 | 75 | 81 | 72 | 75 | 78 | 82 | 67 | 50 | 62 | 66 | 69 | 63 | 55 | 55 | 68 | 50 | 64 | 0 | ||||
3 | Barclay Goodrow | X | X | X | 100.00 | 80 | 90 | 74 | 70 | 80 | 59 | 83 | 61 | 80 | 60 | 59 | 73 | 25 | 64 | 65 | 65 | 46 | 63 | 0 | ||
4 | Marko Dano | X | X | 100.00 | 72 | 78 | 59 | 76 | 78 | 59 | 59 | 62 | 50 | 57 | 61 | 66 | 58 | 58 | 58 | 63 | 48 | 61 | 0 | |||
5 | Andrew Agozzino | X | 100.00 | 78 | 43 | 99 | 67 | 66 | 50 | 86 | 58 | 52 | 59 | 59 | 63 | 75 | 56 | 56 | 63 | 45 | 60 | 0 | ||||
6 | Ryan Haggerty | X | 100.00 | 75 | 73 | 81 | 68 | 73 | 71 | 74 | 62 | 50 | 56 | 64 | 64 | 61 | 44 | 44 | 65 | 49 | 60 | 0 | ||||
7 | Robby Fabbri | X | X | X | 100.00 | 73 | 43 | 93 | 73 | 68 | 63 | 44 | 62 | 34 | 61 | 57 | 59 | 25 | 60 | 61 | 62 | 49 | 58 | 0 | ||
8 | JC Lipon | X | 100.00 | 60 | 67 | 44 | 65 | 67 | 76 | 81 | 58 | 50 | 53 | 57 | 56 | 54 | 47 | 47 | 58 | 47 | 57 | 0 | ||||
9 | Turner Elson | X | 100.00 | 67 | 67 | 68 | 61 | 67 | 61 | 61 | 61 | 50 | 56 | 61 | 60 | 58 | 44 | 44 | 61 | 52 | 56 | 0 | ||||
10 | Mitch Hults | X | 100.00 | 82 | 80 | 88 | 63 | 80 | 55 | 56 | 55 | 69 | 59 | 47 | 66 | 45 | 44 | 44 | 58 | 46 | 56 | 0 | ||||
11 | Hunter Shinkaruk | X | 100.00 | 72 | 65 | 88 | 70 | 65 | 68 | 74 | 49 | 50 | 45 | 47 | 61 | 45 | 52 | 52 | 55 | 48 | 55 | X | 0 | |||
12 | Julien Nantel | X | X | 100.00 | 77 | 70 | 93 | 68 | 70 | 66 | 72 | 46 | 58 | 43 | 44 | 61 | 42 | 45 | 45 | 53 | 48 | 54 | 0 | |||
13 | Joe Hicketts | X | 100.00 | 80 | 43 | 99 | 66 | 61 | 76 | 87 | 57 | 25 | 40 | 47 | 95 | 25 | 48 | 48 | 63 | 45 | 66 | 0 | ||||
14 | Mitchell Vande Sompel | X | 100.00 | 74 | 68 | 87 | 66 | 68 | 74 | 80 | 53 | 25 | 46 | 45 | 61 | 43 | 44 | 44 | 57 | 47 | 59 | 0 | ||||
15 | Frederic Allard | X | 100.00 | 71 | 66 | 81 | 64 | 66 | 72 | 78 | 53 | 25 | 49 | 41 | 61 | 39 | 50 | 50 | 54 | 51 | 58 | 0 | ||||
16 | Dysin Mayo | X | 100.00 | 75 | 73 | 80 | 65 | 73 | 74 | 82 | 44 | 25 | 32 | 40 | 61 | 38 | 51 | 51 | 51 | 52 | 58 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
1 | Chase Balisy | X | 100.00 | 71 | 64 | 86 | 66 | 64 | 82 | 91 | 51 | 64 | 50 | 46 | 62 | 44 | 54 | 54 | 56 | 36 | 57 | 0 | ||||
2 | Brendan Woods | X | X | 100.00 | 72 | 80 | 53 | 65 | 80 | 53 | 54 | 52 | 50 | 48 | 50 | 63 | 48 | 54 | 54 | 55 | 36 | 54 | 0 | |||
3 | Kurtis MacDermid | X | 100.00 | 89 | 98 | 72 | 66 | 82 | 51 | 80 | 62 | 25 | 49 | 47 | 57 | 25 | 45 | 45 | 57 | 44 | 59 | 0 | ||||
4 | Maxim Lamarche | X | 100.00 | 81 | 80 | 83 | 62 | 80 | 72 | 78 | 48 | 25 | 41 | 40 | 64 | 38 | 44 | 44 | 54 | 36 | 59 | 0 | ||||
TEAM AVERAGE | 100.00 | 75 | 68 | 80 | 68 | 72 | 66 | 74 | 56 | 45 | 51 | 53 | 64 | 46 | 51 | 51 | 59 | 46 | 59 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Scratches | ||||||||||||||||||||
1 | Anthony Peters | 100.00 | 50 | 59 | 74 | 74 | 47 | 52 | 50 | 55 | 50 | 50 | 30 | 44 | 44 | 52 | 36 | 53 | 0 | |
TEAM AVERAGE | 100.00 | 50 | 59 | 74 | 74 | 47 | 52 | 50 | 55 | 50 | 50 | 30 | 44 | 44 | 52 | 36 | 53 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 82 | 60 | 87 | 76 | 68 | 57 | 72 | CAN | 48 | 1 | 726,000$ |
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 | Daniel Sprong | Lake Erie Monsters (CLF) | RW | 14 | 17 | 15 | 32 | -13 | 0 | 0 | 12 | 9 | 84 | 28 | 60 | 20.24% | 10 | 318 | 22.77 | 4 | 5 | 9 | 10 | 29 | 0 | 0 | 0 | 1 | 34 | 1 | 0 | 55.00% | 20 | 28 | 10 | 0 | 2 | 2.01 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 |
2 | Barclay Goodrow | Lake Erie Monsters (CLF) | C/LW/RW | 14 | 12 | 16 | 28 | -14 | 34 | 20 | 38 | 19 | 86 | 22 | 53 | 13.95% | 15 | 288 | 20.64 | 3 | 6 | 9 | 12 | 29 | 0 | 0 | 0 | 1 | 7 | 0 | 1 | 71.04% | 259 | 19 | 10 | 0 | 1 | 1.94 | 0 | 0 | 1 | 2 | 1 | 1 | 0 | 2 |
3 | Matt Puempel | Lake Erie Monsters (CLF) | LW | 14 | 14 | 9 | 23 | -6 | 22 | 20 | 16 | 13 | 61 | 20 | 26 | 22.95% | 5 | 219 | 15.71 | 3 | 4 | 7 | 8 | 18 | 0 | 0 | 0 | 2 | 12 | 2 | 0 | 66.67% | 18 | 18 | 8 | 0 | 1 | 2.09 | 0 | 0 | 1 | 1 | 2 | 0 | 1 | 1 |
4 | Andrew Agozzino | Lake Erie Monsters (CLF) | C | 14 | 7 | 13 | 20 | -5 | 17 | 5 | 7 | 18 | 20 | 5 | 12 | 35.00% | 3 | 206 | 14.77 | 2 | 2 | 4 | 2 | 18 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 57.34% | 293 | 6 | 7 | 0 | 0 | 1.93 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 |
5 | Marko Dano | Lake Erie Monsters (CLF) | LW/RW | 14 | 5 | 15 | 20 | -5 | 30 | 10 | 20 | 11 | 45 | 16 | 22 | 11.11% | 9 | 213 | 15.27 | 1 | 3 | 4 | 2 | 17 | 0 | 0 | 0 | 1 | 1 | 0 | 0 | 64.29% | 14 | 13 | 5 | 0 | 0 | 1.87 | 0 | 0 | 1 | 1 | 0 | 0 | 0 | 1 |
6 | Joe Hicketts | Lake Erie Monsters (CLF) | D | 14 | 1 | 13 | 14 | -37 | 5 | 5 | 18 | 30 | 47 | 24 | 17 | 2.13% | 40 | 423 | 30.23 | 1 | 3 | 4 | 7 | 29 | 0 | 0 | 0 | 1 | 38 | 0 | 0 | 0.00% | 0 | 8 | 37 | 0 | 0 | 0.66 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
7 | Ryan Haggerty | Lake Erie Monsters (CLF) | RW | 14 | 9 | 4 | 13 | -8 | 7 | 5 | 16 | 17 | 41 | 7 | 18 | 21.95% | 8 | 167 | 11.94 | 1 | 0 | 1 | 1 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 14 | 11 | 4 | 0 | 1 | 1.56 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 0 |
8 | Mitch Hults | Lake Erie Monsters (CLF) | C | 14 | 3 | 6 | 9 | -7 | 44 | 10 | 21 | 12 | 22 | 4 | 16 | 13.64% | 11 | 169 | 12.10 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 0 | 0 | 13 | 1 | 0 | 73.74% | 99 | 3 | 5 | 0 | 0 | 1.06 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 1 |
9 | Mitchell Vande Sompel | Lake Erie Monsters (CLF) | D | 14 | 1 | 7 | 8 | 0 | 31 | 15 | 26 | 15 | 19 | 12 | 15 | 5.26% | 25 | 315 | 22.54 | 0 | 0 | 0 | 1 | 19 | 0 | 0 | 0 | 1 | 19 | 0 | 0 | 0.00% | 0 | 8 | 15 | 0 | 0 | 0.51 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 |
10 | Frederic Allard | Lake Erie Monsters (CLF) | D | 14 | 1 | 5 | 6 | -7 | 13 | 5 | 25 | 18 | 32 | 10 | 14 | 3.13% | 20 | 326 | 23.31 | 1 | 1 | 2 | 4 | 18 | 0 | 0 | 0 | 2 | 19 | 0 | 0 | 0.00% | 0 | 3 | 20 | 0 | 0 | 0.37 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 |
11 | Oskar Lindblom | Golden Seals | LW | 2 | 3 | 2 | 5 | 1 | 0 | 0 | 5 | 2 | 11 | 5 | 4 | 27.27% | 2 | 47 | 23.65 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 0 | 1 | 6 | 0 | 0 | 62.50% | 16 | 1 | 2 | 0 | 1 | 2.11 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 |
12 | JC Lipon | Lake Erie Monsters (CLF) | RW | 14 | 3 | 2 | 5 | -12 | 21 | 15 | 15 | 7 | 52 | 9 | 24 | 5.77% | 5 | 152 | 10.90 | 0 | 0 | 0 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 15 | 8 | 4 | 0 | 0 | 0.66 | 0 | 0 | 0 | 1 | 2 | 0 | 0 | 0 |
13 | Hunter Shinkaruk | Lake Erie Monsters (CLF) | LW | 14 | 1 | 2 | 3 | -7 | 6 | 0 | 7 | 6 | 8 | 2 | 5 | 12.50% | 9 | 141 | 10.10 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 40.00% | 5 | 3 | 2 | 0 | 0 | 0.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
14 | Julien Nantel | Lake Erie Monsters (CLF) | C/LW | 14 | 1 | 2 | 3 | -10 | 0 | 0 | 8 | 3 | 25 | 10 | 13 | 4.00% | 0 | 134 | 9.59 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 52.00% | 25 | 8 | 1 | 0 | 0 | 0.45 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
15 | Kurtis MacDermid | Lake Erie Monsters (CLF) | D | 6 | 0 | 3 | 3 | -12 | 6 | 0 | 18 | 9 | 7 | 6 | 2 | 0.00% | 10 | 174 | 29.06 | 0 | 0 | 0 | 0 | 15 | 0 | 0 | 0 | 0 | 11 | 0 | 0 | 0.00% | 0 | 1 | 11 | 0 | 0 | 0.34 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 190 | 78 | 114 | 192 | -142 | 236 | 110 | 252 | 189 | 560 | 180 | 301 | 13.93% | 172 | 3299 | 17.37 | 16 | 24 | 40 | 50 | 220 | 0 | 0 | 0 | 10 | 166 | 4 | 1 | 63.62% | 778 | 138 | 141 | 0 | 6 | 1.16 | 0 | 0 | 4 | 8 | 10 | 5 | 2 | 5 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
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 | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Status | Type | Current Salary | Salary Cap | Salary Cap Remaining | Exclude from Salary Cap | Link |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Andrew Agozzino | Lake Erie Monsters (CLF) | C | 27 | 1991-01-02 | No | 187 Lbs | 5 ft10 | No | No | No | 2 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link |
Anthony Peters | Lake Erie Monsters (CLF) | G | 27 | 1990-12-31 | No | 196 Lbs | 6 ft1 | No | No | No | 0 | RFA | Pro & Farm | 0$ | 0$ | No | Link | |
Barclay Goodrow | Lake Erie Monsters (CLF) | C/LW/RW | 25 | 1993-02-26 | No | 210 Lbs | 6 ft2 | No | No | No | 2 | RFA | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link |
Brendan Woods | Lake Erie Monsters (CLF) | C/LW | 26 | 1992-06-11 | No | 210 Lbs | 6 ft4 | No | No | No | 0 | RFA | Pro & Farm | 0$ | 0$ | No | Link | |
Chase Balisy | Lake Erie Monsters (CLF) | C | 26 | 1992-02-02 | No | 179 Lbs | 5 ft11 | No | No | No | 0 | RFA | Pro & Farm | 0$ | 0$ | No | Link | |
Daniel Sprong | Lake Erie Monsters (CLF) | RW | 21 | 1997-03-17 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | ELC | Pro & Farm | 750,000$ | 0$ | 0$ | No | Link |
Dysin Mayo | Lake Erie Monsters (CLF) | D | 21 | 1996-08-17 | No | 195 Lbs | 6 ft2 | No | No | No | 1 | ELC | Pro & Farm | 715,000$ | 0$ | 0$ | No | Link |
Frederic Allard | Lake Erie Monsters (CLF) | D | 20 | 1997-12-27 | No | 179 Lbs | 6 ft1 | No | No | No | 1 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link |
Hunter Shinkaruk | Lake Erie Monsters (CLF) | LW | 23 | 1994-10-13 | No | 181 Lbs | 5 ft10 | No | Yes | No | 1 | ELC | Pro & Farm | 650,000$ | 0$ | 0$ | No | Link |
JC Lipon | Lake Erie Monsters (CLF) | RW | 24 | 1993-07-10 | No | 183 Lbs | 6 ft0 | No | No | No | 1 | ELC | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link |
Joe Hicketts | Lake Erie Monsters (CLF) | D | 22 | 1996-05-04 | No | 175 Lbs | 5 ft8 | No | No | No | 2 | ELC | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link |
Julien Nantel | Lake Erie Monsters (CLF) | C/LW | 21 | 1996-09-06 | No | 193 Lbs | 6 ft0 | No | No | No | 1 | ELC | Pro & Farm | 680,000$ | 0$ | 0$ | No | Link |
Kurtis MacDermid | Lake Erie Monsters (CLF) | D | 24 | 1994-03-25 | No | 208 Lbs | 6 ft5 | No | No | No | 1 | ELC | Pro & Farm | 675,000$ | 0$ | 0$ | No | Link |
Marko Dano | Lake Erie Monsters (CLF) | LW/RW | 23 | 1994-11-30 | No | 212 Lbs | 5 ft11 | No | No | No | 1 | ELC | Pro & Farm | 800,000$ | 0$ | 0$ | No | Link |
Matt Puempel | Lake Erie Monsters (CLF) | LW | 25 | 1993-01-24 | No | 205 Lbs | 6 ft1 | No | No | No | 1 | RFA | Pro & Farm | 675,000$ | 0$ | 0$ | No | Link |
Maxim Lamarche | Lake Erie Monsters (CLF) | D | 25 | 1992-07-11 | No | 218 Lbs | 6 ft3 | No | No | No | 0 | RFA | Pro & Farm | 0$ | 0$ | No | Link | |
Mitch Hults | Lake Erie Monsters (CLF) | C | 23 | 1994-11-13 | No | 218 Lbs | 6 ft3 | No | No | No | 1 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link |
Mitchell Vande Sompel | Lake Erie Monsters (CLF) | D | 21 | 1997-02-11 | No | 192 Lbs | 5 ft10 | No | No | No | 1 | ELC | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link |
Robby Fabbri | Lake Erie Monsters (CLF) | C/LW/RW | 22 | 1996-01-22 | No | 190 Lbs | 5 ft10 | No | No | No | 1 | ELC | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link |
Ryan Haggerty | Lake Erie Monsters (CLF) | RW | 25 | 1993-03-04 | No | 201 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 675,000$ | 0$ | 0$ | No | Link |
Turner Elson | Lake Erie Monsters (CLF) | LW | 25 | 1992-09-12 | No | 184 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
21 | 23.62 | 195 Lbs | 6 ft0 | 0.95 | 620,000$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Barclay Goodrow | Daniel Sprong | 40 | 1 | 2 | 2 | |
2 | Matt Puempel | Andrew Agozzino | Marko Dano | 30 | 1 | 2 | 2 |
3 | Hunter Shinkaruk | Mitch Hults | Ryan Haggerty | 20 | 1 | 2 | 2 |
4 | Julien Nantel | JC Lipon | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Joe Hicketts | 40 | 1 | 2 | 2 | ||
2 | Mitchell Vande Sompel | Frederic Allard | 30 | 1 | 2 | 2 | |
3 | Joe Hicketts | 20 | 1 | 2 | 2 | ||
4 | Mitchell Vande Sompel | Frederic Allard | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | Barclay Goodrow | Daniel Sprong | 60 | 1 | 2 | 2 | |
2 | Matt Puempel | Andrew Agozzino | Marko Dano | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Joe Hicketts | 60 | 1 | 2 | 2 | ||
2 | Mitchell Vande Sompel | Frederic Allard | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Daniel Sprong | 60 | 1 | 2 | 2 | |
2 | Matt Puempel | Barclay Goodrow | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Joe Hicketts | 60 | 1 | 2 | 2 | |
2 | Mitchell Vande Sompel | Frederic Allard | 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 | Joe Hicketts | 60 | 1 | 2 | 2 | ||
2 | Daniel Sprong | 40 | 1 | 2 | 2 | Mitchell Vande Sompel | Frederic Allard | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Daniel Sprong | 60 | 1 | 2 | 2 | |
2 | Matt Puempel | Barclay Goodrow | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Joe Hicketts | 60 | 1 | 2 | 2 | |
2 | Mitchell Vande Sompel | Frederic Allard | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Barclay Goodrow | Daniel Sprong | Joe Hicketts |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Barclay Goodrow | Daniel Sprong | Joe Hicketts |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Ryan Haggerty, JC Lipon, Mitch Hults | Ryan Haggerty, JC Lipon | Mitch Hults |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Joe Hicketts, , Mitchell Vande Sompel | Joe Hicketts | , Mitchell Vande Sompel |
Penalty Shots |
---|
, Daniel Sprong, Matt Puempel, Barclay Goodrow, Marko Dano |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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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 | Calgary Hitman | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 13 | 29 | -16 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 11 | -1 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 18 | -15 | 0 | 0.000 | 13 | 21 | 34 | 0 | 0 | 21 | 32 | 27 | 0 | 117 | 201 | 193 | 196 | 0 | 125 | 35 | 51 | 52 | 7 | 2 | 28.57% | 13 | 8 | 38.46% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
2 | Drummondville Voltigeurs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 21 | 32 | 27 | 0 | 48 | 201 | 193 | 196 | 0 | 45 | 23 | 7 | 38 | 4 | 1 | 25.00% | 1 | 1 | 0.00% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
3 | Las Vegas Wranglers | 3 | 2 | 1 | 0 | 0 | 0 | 0 | 0 | 27 | 24 | 3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 4 | 0.667 | 27 | 41 | 68 | 0 | 0 | 21 | 32 | 27 | 0 | 111 | 201 | 193 | 196 | 0 | 120 | 52 | 10 | 57 | 14 | 7 | 50.00% | 5 | 4 | 20.00% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
4 | London Knights | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 20 | 35 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 17 | 23 | -6 | 2 | 0.333 | 20 | 32 | 52 | 0 | 0 | 21 | 32 | 27 | 0 | 145 | 201 | 193 | 196 | 0 | 144 | 48 | 117 | 54 | 2 | 1 | 50.00% | 11 | 6 | 45.45% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
5 | Quebec Rempart | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 12 | -10 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 2 | 2 | 4 | 0 | 0 | 21 | 32 | 27 | 0 | 43 | 201 | 193 | 196 | 0 | 51 | 13 | 23 | 21 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
6 | Sherbrooke Phoenix | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 15 | 21 | -6 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 7 | -2 | 2 | 0.333 | 15 | 22 | 37 | 0 | 0 | 21 | 32 | 27 | 0 | 126 | 201 | 193 | 196 | 0 | 94 | 39 | 49 | 58 | 10 | 5 | 50.00% | 12 | 7 | 41.67% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
Total | 14 | 4 | 10 | 0 | 0 | 0 | 0 | 0 | 80 | 129 | -49 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 44 | 67 | -23 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 36 | 62 | -26 | 8 | 0.286 | 80 | 123 | 203 | 0 | 0 | 21 | 32 | 27 | 0 | 590 | 201 | 193 | 196 | 0 | 579 | 210 | 257 | 280 | 40 | 17 | 42.50% | 46 | 28 | 39.13% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 | |
_Since Last GM Reset | 14 | 4 | 10 | 0 | 0 | 0 | 0 | 0 | 80 | 129 | -49 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 44 | 67 | -23 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 36 | 62 | -26 | 8 | 0.286 | 80 | 123 | 203 | 0 | 0 | 21 | 32 | 27 | 0 | 590 | 201 | 193 | 196 | 0 | 579 | 210 | 257 | 280 | 40 | 17 | 42.50% | 46 | 28 | 39.13% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 | |
_Vs Conference | 14 | 4 | 10 | 0 | 0 | 0 | 0 | 0 | 80 | 129 | -49 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 44 | 67 | -23 | 7 | 2 | 5 | 0 | 0 | 0 | 0 | 0 | 36 | 62 | -26 | 8 | 0.286 | 80 | 123 | 203 | 0 | 0 | 21 | 32 | 27 | 0 | 590 | 201 | 193 | 196 | 0 | 579 | 210 | 257 | 280 | 40 | 17 | 42.50% | 46 | 28 | 39.13% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 | |
_Vs Division | 3 | 4 | 8 | 0 | 0 | 0 | 0 | 0 | 27 | 24 | 3 | 2 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 19 | 18 | 1 | 1 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 8 | 6 | 2 | 8 | 1.333 | 27 | 41 | 68 | 0 | 0 | 21 | 32 | 27 | 0 | 111 | 201 | 193 | 196 | 0 | 120 | 52 | 10 | 57 | 14 | 7 | 50.00% | 5 | 4 | 20.00% | 0 | 175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% | 309 | 184 | 294 | 110 | 235 | 123 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
14 | 8 | L1 | 80 | 123 | 203 | 590 | 579 | 210 | 257 | 280 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
14 | 4 | 10 | 0 | 0 | 0 | 0 | 80 | 129 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 2 | 5 | 0 | 0 | 0 | 0 | 44 | 67 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
7 | 2 | 5 | 0 | 0 | 0 | 0 | 36 | 62 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
3 | 7 | 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 |
---|---|---|---|---|---|---|
40 | 17 | 42.50% | 46 | 28 | 39.13% | 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 |
---|---|---|---|---|---|---|---|
201 | 193 | 196 | 0 | 21 | 32 | 27 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
175 | 301 | 58.14% | 123 | 210 | 58.57% | 222 | 342 | 64.91% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
309 | 184 | 294 | 110 | 235 | 123 |
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 - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 20 | 7 |
Attendance | 0 | 0 |
Attendance PCT | 0.00% | 0.00% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena 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$ | 1,302,000$ | 1,302,000$ | 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$ | 1 | 0$ | 0$ |
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 |