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 | Chris Wagner | 0 | X | X | 100.00 | 78 | 40 | 71 | 64 | 73 | 80 | 78 | 62 | 61 | 59 | 63 | 65 | 58 | 75 | 76 | 35 | 50 | 64 | 0 | |||
2 | Jake Leschyshyn | 0 | X | 100.00 | 68 | 38 | 84 | 63 | 72 | 75 | 78 | 59 | 81 | 60 | 58 | 64 | 59 | 65 | 67 | 68 | 50 | 62 | 0 | ||||
3 | Anthony Angello | 0 | X | X | 100.00 | 82 | 44 | 68 | 58 | 91 | 69 | 80 | 57 | 60 | 56 | 55 | 59 | 54 | 68 | 70 | 46 | 50 | 61 | 0 | |||
4 | Nikita Pavlychev | 0 | X | 100.00 | 86 | 43 | 73 | 58 | 95 | 71 | 67 | 56 | 59 | 53 | 57 | 62 | 54 | 67 | 69 | 42 | 50 | 61 | 0 | ||||
5 | Ty Smith | 0 | X | 100.00 | 74 | 37 | 83 | 68 | 70 | 89 | 81 | 66 | 30 | 67 | 62 | 61 | 55 | 64 | 66 | 81 | 50 | 65 | 0 | ||||
6 | Logan Day | 0 | X | 100.00 | 70 | 39 | 85 | 60 | 79 | 69 | 76 | 56 | 30 | 61 | 54 | 58 | 46 | 70 | 72 | 35 | 50 | 62 | 0 | ||||
7 | Josiah Didier | 0 | X | 100.00 | 72 | 41 | 73 | 56 | 81 | 64 | 84 | 55 | 30 | 53 | 54 | 57 | 45 | 71 | 73 | 49 | 50 | 61 | 0 | ||||
8 | Kyle Masters | 0 | X | 100.00 | 61 | 37 | 90 | 56 | 70 | 64 | 62 | 53 | 30 | 55 | 50 | 52 | 45 | 61 | 63 | 60 | 50 | 56 | 0 | ||||
Scratches | |||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 74 | 40 | 78 | 60 | 79 | 73 | 76 | 58 | 48 | 58 | 57 | 60 | 52 | 68 | 70 | 52 | 50 | 62 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Michael Bullion | 100.00 | 73 | 70 | 66 | 78 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 67 | 77 | 37 | 50 | 70 | 0 | |
Scratches | ||||||||||||||||||||
TEAM AVERAGE | 100.00 | 73 | 70 | 66 | 78 | 72 | 71 | 73 | 72 | 71 | 73 | 72 | 67 | 77 | 37 | 50 | 70 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Bob Boughner | 70 | 67 | 73 | 72 | 79 | 74 | 70 | CAN | 53 | 5 | 1,000,000$ |
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 | Ty Smith | Monsters (Clb) | D | 23 | 9 | 18 | 27 | -16 | 39 | 5 | 69 | 32 | 76 | 19 | 53 | 11.84% | 41 | 530 | 23.05 | 7 | 3 | 10 | 51 | 77 | 0 | 1 | 1 | 0 | 62 | 1 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 1.02 | 0 | 0 | 1 | 0 | 0 | 2 | 2 | 0 |
2 | Jake Leschyshyn | Monsters (Clb) | C | 23 | 13 | 10 | 23 | -11 | 30 | 0 | 49 | 67 | 147 | 36 | 84 | 8.84% | 11 | 453 | 19.72 | 1 | 5 | 6 | 24 | 49 | 1 | 0 | 1 | 4 | 76 | 2 | 1 | 62.74% | 416 | 0 | 0 | 0 | 0 | 1.01 | 0 | 0 | 0 | 0 | 0 | 2 | 2 | 2 |
3 | Chris Wagner | Monsters (Clb) | C/RW | 15 | 11 | 8 | 19 | -3 | 10 | 0 | 35 | 39 | 78 | 21 | 45 | 14.10% | 10 | 320 | 21.39 | 3 | 6 | 9 | 18 | 46 | 0 | 0 | 0 | 0 | 53 | 1 | 0 | 57.36% | 401 | 0 | 0 | 0 | 1 | 1.18 | 0 | 0 | 0 | 0 | 0 | 3 | 0 | 1 |
4 | Josiah Didier | Monsters (Clb) | D | 23 | 5 | 11 | 16 | -18 | 52 | 0 | 68 | 41 | 67 | 29 | 45 | 7.46% | 41 | 424 | 18.44 | 4 | 4 | 8 | 40 | 65 | 0 | 1 | 1 | 0 | 47 | 0 | 0 | 0.00% | 1 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 1 | 2 | 2 |
5 | Louie Belpedio | Columbus Jackets | D | 15 | 4 | 8 | 12 | -12 | 33 | 5 | 28 | 27 | 38 | 7 | 22 | 10.53% | 21 | 322 | 21.47 | 2 | 3 | 5 | 25 | 45 | 0 | 0 | 0 | 0 | 37 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.75 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 2 |
6 | Kyle Masters | Monsters (Clb) | D | 15 | 2 | 9 | 11 | -5 | 17 | 5 | 25 | 17 | 19 | 9 | 8 | 10.53% | 18 | 230 | 15.35 | 0 | 1 | 1 | 4 | 9 | 0 | 0 | 0 | 0 | 2 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.96 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
7 | Anthony Angello | Monsters (Clb) | C/RW | 8 | 2 | 1 | 3 | -5 | 12 | 0 | 17 | 7 | 20 | 9 | 15 | 10.00% | 3 | 157 | 19.67 | 1 | 0 | 1 | 6 | 21 | 0 | 0 | 0 | 0 | 18 | 0 | 1 | 44.44% | 18 | 0 | 0 | 0 | 0 | 0.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
8 | Nikita Pavlychev | Monsters (Clb) | C | 7 | 1 | 2 | 3 | -6 | 13 | 5 | 12 | 16 | 19 | 5 | 9 | 5.26% | 2 | 108 | 15.51 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 13 | 0 | 0 | 52.87% | 87 | 0 | 0 | 0 | 0 | 0.55 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 |
9 | Pierrick Dube | Columbus Jackets | RW | 2 | 0 | 1 | 1 | 1 | 0 | 0 | 1 | 1 | 6 | 0 | 2 | 0.00% | 1 | 37 | 18.80 | 0 | 1 | 1 | 3 | 3 | 0 | 0 | 0 | 0 | 3 | 0 | 0 | 100.00% | 4 | 0 | 0 | 0 | 0 | 0.53 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
10 | Logan Day | Monsters (Clb) | D | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 0 | 0 | 0 | 0 | 0.00% | 1 | 7 | 7.38 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 132 | 47 | 68 | 115 | -75 | 206 | 20 | 309 | 247 | 470 | 135 | 283 | 10.00% | 149 | 2591 | 19.64 | 18 | 23 | 41 | 171 | 317 | 1 | 2 | 3 | 4 | 315 | 4 | 2 | 59.22% | 927 | 0 | 0 | 0 | 1 | 0.89 | 0 | 0 | 1 | 2 | 1 | 8 | 7 | 8 |
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 | Michael Bullion | Monsters (Clb) | 2 | 1 | 1 | 0 | 0.896 | 3.42 | 123 | 0 | 0 | 7 | 67 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 1 | 0 |
Team Total or Average | 2 | 1 | 1 | 0 | 0.896 | 3.42 | 123 | 0 | 0 | 7 | 67 | 0 | 0 | 0 | 0.000 | 0 | 2 | 0 | 0 | 1 | 0 |
Priority | Type | Description |
---|---|---|
1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig ) |
4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (= ), single (' ) or double quote (" ) to exactly not match a filter. |
6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
8 | ? | Wildcard for a single, non-space character. |
8 | * | Wildcard for zero or more non-space characters. |
9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
10 | text | Any text entered in the filter will match text found within the column |
Player Name | Team Name | POS | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Anthony Angello | C/RW | 28 | 1996-03-06 | No | 210 Lbs | 6 ft5 | No | No | No | 2 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Chris Wagner | C/RW | 33 | 1991-05-27 | No | 192 Lbs | 6 ft0 | No | No | No | 1 | UFA | Pro & Farm | 400,001$ | 0$ | 0$ | No | Link / NHL Link | |
Jake Leschyshyn | C | 25 | 1999-03-10 | No | 198 Lbs | 5 ft11 | No | No | No | 3 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Josiah Didier | D | 31 | 1993-04-08 | No | 202 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Kyle Masters | D | 21 | 2003-04-09 | No | 177 Lbs | 6 ft0 | No | No | No | 2 | ELC | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Logan Day | D | 30 | 1994-09-19 | No | 209 Lbs | 6 ft1 | No | No | No | 3 | UFA | Pro & Farm | 500,000$ | 0$ | 0$ | No | Link / NHL Link | |
Michael Bullion | G | 27 | 1997-05-14 | No | 204 Lbs | 6 ft1 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Nikita Pavlychev | C | 27 | 1997-03-23 | No | 200 Lbs | 6 ft7 | No | No | No | 2 | RFA | Pro & Farm | 300,000$ | 0$ | 0$ | No | Link / NHL Link | |
Ty Smith | D | 24 | 2000-03-24 | No | 180 Lbs | 5 ft11 | No | No | No | 1 | RFA | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link / NHL Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
9 | 27.33 | 197 Lbs | 6 ft2 | 1.89 | 422,222$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 40 | 1 | 2 | 2 | |||
2 | Jake Leschyshyn | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Jake Leschyshyn | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Ty Smith | 40 | 1 | 2 | 2 | ||
2 | Josiah Didier | 30 | 1 | 2 | 2 | ||
3 | 20 | 1 | 2 | 2 | |||
4 | Ty Smith | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 60 | 1 | 2 | 2 | |||
2 | Jake Leschyshyn | 40 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | Ty Smith | 60 | 1 | 2 | 2 | ||
2 | Josiah Didier | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jake Leschyshyn | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Ty Smith | 60 | 1 | 2 | 2 | |
2 | Josiah Didier | 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 | Ty Smith | 60 | 1 | 2 | 2 | ||
2 | Jake Leschyshyn | 40 | 1 | 2 | 2 | Josiah Didier | 40 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Jake Leschyshyn | 60 | 1 | 2 | 2 | |
2 | 40 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | Ty Smith | 60 | 1 | 2 | 2 | |
2 | Josiah Didier | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Ty Smith |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
Ty Smith |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , | , |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
, , Josiah Didier | , Josiah Didier |
Penalty Shots |
---|
, Jake Leschyshyn, , , |
Goalie |
---|
#1 : , #2 : |
Custom OT Lines Forwards |
---|
, , , , , , , , , , |
Custom OT Lines Defensemen |
---|
, , , , |
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 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
23 | 13 | W2 | 66 | 113 | 179 | 720 | 812 | 219 | 250 | 408 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
23 | 5 | 16 | 1 | 1 | 0 | 0 | 66 | 118 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
10 | 4 | 6 | 0 | 0 | 0 | 0 | 30 | 44 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
13 | 1 | 10 | 1 | 1 | 0 | 0 | 36 | 74 |
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 |
---|---|---|---|---|---|---|
96 | 21 | 21.88% | 103 | 24 | 76.70% | 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 |
---|---|---|---|---|---|---|---|
233 | 261 | 222 | 4 | 27 | 21 | 17 | 1 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
343 | 685 | 50.07% | 304 | 673 | 45.17% | 181 | 396 | 45.71% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
531 | 391 | 607 | 150 | 244 | 117 |
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 |
---|---|---|---|---|---|---|---|---|---|---|
9 - 2024-09-24 | 12 | Monsters | 3 | Bears | 2 | W | X | BoxScore | ||
10 - 2024-09-25 | 28 | Monsters | 2 | Bears | 5 | L | BoxScore | |||
15 - 2024-09-30 | 33 | Monsters | 4 | Checkers | 5 | L | X | BoxScore | ||
16 - 2024-10-01 | 46 | Monsters | 3 | Checkers | 5 | L | BoxScore | |||
20 - 2024-10-05 | 66 | Monsters | 1 | Americans | 8 | L | BoxScore | |||
23 - 2024-10-08 | 86 | Americans | 4 | Monsters | 0 | L | BoxScore | |||
30 - 2024-10-15 | 125 | Marlies | 3 | Monsters | 6 | W | BoxScore | |||
31 - 2024-10-16 | 137 | Griffins | 5 | Monsters | 3 | L | BoxScore | |||
34 - 2024-10-19 | 143 | Americans | 3 | Monsters | 2 | L | BoxScore | |||
36 - 2024-10-21 | 149 | Monsters | 2 | Comets | 3 | L | BoxScore | |||
37 - 2024-10-22 | 160 | Monsters | 7 | Crunch | 4 | W | BoxScore | |||
39 - 2024-10-24 | 180 | Monsters | 0 | Comets | 7 | L | BoxScore | |||
41 - 2024-10-26 | 184 | Marlies | 6 | Monsters | 4 | L | BoxScore | |||
43 - 2024-10-28 | 194 | Monsters | 4 | Bruins | 6 | L | BoxScore | |||
45 - 2024-10-30 | 216 | Monsters | 1 | Bruins | 6 | L | BoxScore | |||
51 - 2024-11-05 | 243 | Admirals | 6 | Monsters | 1 | L | BoxScore | |||
52 - 2024-11-06 | 254 | Admirals | 7 | Monsters | 0 | L | BoxScore | |||
55 - 2024-11-09 | 265 | Monsters | 1 | Americans | 6 | L | BoxScore | |||
57 - 2024-11-11 | 269 | Marlies | 4 | Monsters | 6 | W | BoxScore | |||
59 - 2024-11-13 | 296 | Monsters | 3 | Griffins | 8 | L | BoxScore | |||
61 - 2024-11-15 | 298 | Monsters | 5 | Admirals | 9 | L | BoxScore | |||
64 - 2024-11-18 | 310 | Crunch | 4 | Monsters | 5 | W | BoxScore | |||
65 - 2024-11-19 | 321 | Crunch | 2 | Monsters | 3 | W | BoxScore | |||
70 - 2024-11-24 | 351 | Phantoms | - | Monsters | - | |||||
72 - 2024-11-26 | 367 | Phantoms | - | Monsters | - | |||||
76 - 2024-11-30 | 388 | Comets | - | Monsters | - | |||||
77 - 2024-12-01 | 397 | Comets | - | Monsters | - | |||||
80 - 2024-12-04 | 421 | Americans | - | Monsters | - | |||||
86 - 2024-12-10 | 442 | Griffins | - | Monsters | - | |||||
88 - 2024-12-12 | 456 | Monsters | - | Admirals | - | |||||
89 - 2024-12-13 | 461 | Monsters | - | Griffins | - | |||||
91 - 2024-12-15 | 469 | Griffins | - | Monsters | - | |||||
93 - 2024-12-17 | 481 | Monsters | - | Marlies | - | |||||
94 - 2024-12-18 | 495 | Monsters | - | Marlies | - | |||||
99 - 2024-12-23 | 511 | Rocket | - | Monsters | - | |||||
100 - 2024-12-24 | 526 | Rocket | - | Monsters | - | |||||
106 - 2024-12-30 | 561 | Monsters | - | Griffins | - | |||||
107 - 2024-12-31 | 569 | Monsters | - | Griffins | - | |||||
111 - 2025-01-04 | 593 | Wolves | - | Monsters | - | |||||
112 - 2025-01-05 | 600 | Wolves | - | Monsters | - | |||||
114 - 2025-01-07 | 616 | Monsters | - | Crunch | - | |||||
120 - 2025-01-13 | 648 | Bruins | - | Monsters | - | |||||
121 - 2025-01-14 | 665 | Bruins | - | Monsters | - | |||||
127 - 2025-01-20 | 680 | Monsters | - | Phantoms | - | |||||
128 - 2025-01-21 | 693 | Monsters | - | Penguins | - | |||||
131 - 2025-01-24 | 707 | Americans | - | Monsters | - | |||||
135 - 2025-01-28 | 736 | Monsters | - | Wolves | - | |||||
136 - 2025-01-29 | 748 | Monsters | - | Wolves | - | |||||
139 - 2025-02-01 | 762 | Monsters | - | Americans | - | |||||
143 - 2025-02-05 | 792 | Senators | - | Monsters | - | |||||
144 - 2025-02-06 | 802 | Senators | - | Monsters | - | |||||
148 - 2025-02-10 | 816 | Checkers | - | Monsters | - | |||||
149 - 2025-02-11 | 829 | Checkers | - | Monsters | - | |||||
153 - 2025-02-15 | 852 | Monsters | - | Marlies | - | |||||
155 - 2025-02-17 | 860 | Bears | - | Monsters | - | |||||
156 - 2025-02-18 | 872 | Bears | - | Monsters | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
162 - 2025-02-24 | 909 | Monsters | - | Stars | - | |||||
163 - 2025-02-25 | 920 | Monsters | - | Stars | - | |||||
169 - 2025-03-03 | 947 | Monsters | - | Rocket | - | |||||
170 - 2025-03-04 | 957 | Monsters | - | Rocket | - | |||||
171 - 2025-03-05 | 973 | Monsters | - | Senators | - | |||||
174 - 2025-03-08 | 984 | Monsters | - | Senators | - | |||||
176 - 2025-03-10 | 992 | Stars | - | Monsters | - | |||||
177 - 2025-03-11 | 1005 | Stars | - | Monsters | - | |||||
183 - 2025-03-17 | 1040 | Penguins | - | Monsters | - | |||||
184 - 2025-03-18 | 1054 | Penguins | - | Monsters | - | |||||
188 - 2025-03-22 | 1073 | Griffins | - | Monsters | - | |||||
191 - 2025-03-25 | 1091 | Marlies | - | Monsters | - | |||||
192 - 2025-03-26 | 1108 | Monsters | - | Marlies | - | |||||
195 - 2025-03-29 | 1117 | Monsters | - | Americans | - | |||||
197 - 2025-03-31 | 1128 | Monsters | - | Phantoms | - | |||||
198 - 2025-04-01 | 1139 | Monsters | - | Penguins | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 18,881 | 9,168 |
Attendance PCT | 94.41% | 91.68% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
26 | 2805 - 93.50% | 70,255$ | 702,552$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
351,047$ | 38,000$ | 0$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 14,372$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
1,826,635$ | 132 | 5,216$ | 688,512$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 82 | 53 | 22 | 0 | 2 | 1 | 3 | 1 | 292 | 174 | 118 | 41 | 26 | 12 | 0 | 1 | 0 | 2 | 0 | 151 | 87 | 64 | 41 | 27 | 10 | 0 | 1 | 1 | 1 | 1 | 141 | 87 | 54 | 118 | 292 | 532 | 824 | 2 | 9 | 0 | 123 | 85 | 79 | 2512 | 0 | 825 | 868 | 810 | 1662 | 505 | 1384 | 1810 | 533 | 83 | 15.57% | 572 | 70 | 87.76% | 9 | 1707 | 2710 | 62.99% | 1238 | 2245 | 55.14% | 709 | 1163 | 60.96% | 2372 | 1738 | 1629 | 547 | 947 | 509 |
13 | 76 | 46 | 21 | 0 | 1 | 1 | 3 | 4 | 242 | 150 | 92 | 38 | 21 | 12 | 0 | 0 | 1 | 1 | 3 | 115 | 74 | 41 | 38 | 25 | 9 | 0 | 1 | 0 | 2 | 1 | 127 | 76 | 51 | 105 | 242 | 417 | 659 | 1 | 12 | 0 | 92 | 78 | 68 | 2070 | 0 | 668 | 676 | 715 | 1471 | 445 | 988 | 1406 | 529 | 95 | 17.96% | 431 | 54 | 87.47% | 6 | 1490 | 2443 | 60.99% | 1204 | 2086 | 57.72% | 659 | 1045 | 63.06% | 2135 | 1561 | 1561 | 528 | 899 | 478 |
14 | 76 | 42 | 22 | 0 | 3 | 1 | 4 | 4 | 271 | 156 | 115 | 38 | 23 | 11 | 0 | 1 | 0 | 1 | 2 | 137 | 76 | 61 | 38 | 19 | 11 | 0 | 2 | 1 | 3 | 2 | 134 | 80 | 54 | 103 | 271 | 484 | 755 | 1 | 11 | 0 | 112 | 77 | 75 | 2299 | 0 | 758 | 747 | 773 | 1757 | 503 | 1123 | 1452 | 334 | 54 | 16.17% | 431 | 56 | 87.01% | 4 | 1366 | 2410 | 56.68% | 1321 | 2305 | 57.31% | 640 | 1109 | 57.71% | 2043 | 1478 | 1655 | 527 | 908 | 469 |
15 | 82 | 34 | 34 | 0 | 4 | 3 | 2 | 5 | 227 | 179 | 48 | 41 | 21 | 16 | 0 | 1 | 1 | 1 | 1 | 119 | 80 | 39 | 41 | 13 | 18 | 0 | 3 | 2 | 1 | 4 | 108 | 99 | 9 | 88 | 227 | 424 | 651 | 0 | 8 | 0 | 87 | 78 | 56 | 2350 | 0 | 755 | 746 | 821 | 1907 | 583 | 1137 | 1452 | 405 | 65 | 16.05% | 453 | 66 | 85.43% | 1 | 1490 | 2595 | 57.42% | 1305 | 2357 | 55.37% | 645 | 1139 | 56.63% | 2181 | 1576 | 1808 | 570 | 980 | 504 |
16 | 82 | 44 | 25 | 0 | 3 | 5 | 3 | 2 | 248 | 160 | 88 | 41 | 20 | 13 | 0 | 2 | 3 | 2 | 1 | 119 | 83 | 36 | 41 | 24 | 12 | 0 | 1 | 2 | 1 | 1 | 129 | 77 | 52 | 107 | 248 | 455 | 703 | 0 | 8 | 0 | 89 | 82 | 71 | 2214 | 0 | 767 | 715 | 713 | 1793 | 534 | 960 | 1389 | 457 | 77 | 16.85% | 406 | 48 | 88.18% | 7 | 1469 | 2478 | 59.28% | 1211 | 2264 | 53.49% | 681 | 1133 | 60.11% | 2276 | 1674 | 1741 | 544 | 943 | 502 |
17 | 72 | 31 | 33 | 0 | 2 | 4 | 2 | 0 | 235 | 213 | 22 | 36 | 18 | 14 | 0 | 1 | 3 | 0 | 0 | 117 | 107 | 10 | 36 | 13 | 19 | 0 | 1 | 1 | 2 | 0 | 118 | 106 | 12 | 74 | 235 | 410 | 645 | 3 | 9 | 0 | 92 | 74 | 65 | 1980 | 0 | 646 | 688 | 633 | 1832 | 554 | 823 | 1379 | 365 | 80 | 21.92% | 332 | 69 | 79.22% | 3 | 1131 | 2113 | 53.53% | 1039 | 2027 | 51.26% | 560 | 1087 | 51.52% | 1924 | 1416 | 1601 | 469 | 816 | 425 |
18 | 72 | 25 | 44 | 0 | 2 | 1 | 0 | 0 | 229 | 296 | -67 | 36 | 11 | 22 | 0 | 2 | 1 | 0 | 0 | 111 | 147 | -36 | 36 | 14 | 22 | 0 | 0 | 0 | 0 | 0 | 118 | 149 | -31 | 55 | 229 | 400 | 629 | 1 | 1 | 0 | 99 | 64 | 64 | 2256 | 0 | 756 | 758 | 739 | 2398 | 740 | 835 | 1386 | 294 | 43 | 14.63% | 348 | 71 | 79.60% | 2 | 1072 | 2140 | 50.09% | 981 | 2085 | 47.05% | 565 | 1111 | 50.86% | 1721 | 1261 | 1811 | 474 | 789 | 385 |
19 | 23 | 5 | 16 | 0 | 1 | 1 | 0 | 0 | 66 | 118 | -52 | 10 | 4 | 6 | 0 | 0 | 0 | 0 | 0 | 30 | 44 | -14 | 13 | 1 | 10 | 0 | 1 | 1 | 0 | 0 | 36 | 74 | -38 | 13 | 66 | 113 | 179 | 0 | 0 | 27 | 21 | 17 | 1 | 720 | 233 | 261 | 222 | 4 | 812 | 219 | 250 | 408 | 96 | 21 | 21.88% | 103 | 24 | 76.70% | 2 | 343 | 685 | 50.07% | 304 | 673 | 45.17% | 181 | 396 | 45.71% | 531 | 391 | 607 | 150 | 244 | 117 |
Total Regular Season | 565 | 280 | 217 | 0 | 18 | 17 | 17 | 16 | 1810 | 1446 | 364 | 281 | 144 | 106 | 0 | 8 | 9 | 7 | 7 | 899 | 698 | 201 | 284 | 136 | 111 | 0 | 10 | 8 | 10 | 9 | 911 | 748 | 163 | 663 | 1810 | 3235 | 5045 | 8 | 58 | 27 | 715 | 555 | 479 | 16401 | 233 | 5436 | 5420 | 5208 | 13632 | 4083 | 7500 | 10682 | 3013 | 518 | 17.19% | 3076 | 458 | 85.11% | 34 | 10068 | 17574 | 57.29% | 8603 | 16042 | 53.63% | 4640 | 8183 | 56.70% | 15187 | 11099 | 12417 | 3813 | 6530 | 3392 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
12 | 20 | 16 | 4 | 0 | 0 | 0 | 0 | 0 | 49 | 19 | 30 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 21 | 9 | 12 | 10 | 8 | 2 | 0 | 0 | 0 | 0 | 0 | 28 | 10 | 18 | 32 | 49 | 83 | 132 | 0 | 6 | 0 | 12 | 18 | 17 | 466 | 0 | 143 | 156 | 146 | 405 | 121 | 392 | 396 | 141 | 14 | 9.93% | 166 | 10 | 93.98% | 3 | 381 | 673 | 56.61% | 365 | 666 | 54.80% | 168 | 279 | 60.22% | 509 | 338 | 516 | 168 | 266 | 131 |
13 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 10 | 12 | -2 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 10 | 17 | 27 | 0 | 0 | 0 | 5 | 3 | 2 | 95 | 0 | 38 | 26 | 31 | 122 | 45 | 80 | 75 | 33 | 5 | 15.15% | 36 | 5 | 86.11% | 0 | 58 | 138 | 42.03% | 64 | 163 | 39.26% | 40 | 76 | 52.63% | 108 | 71 | 129 | 38 | 62 | 30 |
14 | 18 | 9 | 9 | 0 | 0 | 0 | 0 | 0 | 37 | 43 | -6 | 10 | 3 | 7 | 0 | 0 | 0 | 0 | 0 | 10 | 26 | -16 | 8 | 6 | 2 | 0 | 0 | 0 | 0 | 0 | 27 | 17 | 10 | 18 | 37 | 69 | 106 | 0 | 2 | 0 | 16 | 10 | 9 | 452 | 0 | 173 | 127 | 134 | 437 | 122 | 262 | 386 | 107 | 13 | 12.15% | 116 | 14 | 87.93% | 1 | 281 | 581 | 48.36% | 301 | 615 | 48.94% | 126 | 258 | 48.84% | 455 | 313 | 458 | 143 | 242 | 118 |
Total Playoff | 43 | 26 | 17 | 0 | 0 | 0 | 0 | 0 | 96 | 74 | 22 | 22 | 12 | 10 | 0 | 0 | 0 | 0 | 0 | 36 | 38 | -2 | 21 | 14 | 7 | 0 | 0 | 0 | 0 | 0 | 60 | 36 | 24 | 52 | 96 | 169 | 265 | 0 | 8 | 0 | 33 | 31 | 28 | 1013 | 0 | 354 | 309 | 311 | 964 | 288 | 734 | 857 | 281 | 32 | 11.39% | 318 | 29 | 90.88% | 4 | 720 | 1392 | 51.72% | 730 | 1444 | 50.55% | 334 | 613 | 54.49% | 1073 | 723 | 1104 | 350 | 570 | 280 |
Players Ratings by Showtime Hockey | WebSim by SimonT Hockey Simulator