 | Monsters |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Brett Barton | Morale : 50 | Team Overall : 57 Next Games #16 vs Wolves |
|
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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 | Luke Johnson | X | X | 100.00 | 86 | 45 | 88 | 67 | 70 | 56 | 68 | 58 | 73 | 50 | 58 | 69 | 25 | 47 | 47 | 62 | 47 | 59 | 0 | 26 | 2 | 767,000$ | |||
| 2 | Givani Smith | X | X | 100.00 | 83 | 45 | 65 | 66 | 78 | 57 | 76 | 61 | 25 | 65 | 57 | 59 | 25 | 47 | 47 | 60 | 47 | 59 | 0 | 23 | 1 | 779,512$ | |||
| 3 | Glenn Gawdin | X | 100.00 | 75 | 71 | 83 | 64 | 71 | 64 | 65 | 61 | 76 | 60 | 57 | 64 | 54 | 44 | 44 | 61 | 47 | 59 | 0 | 24 | 1 | 851,741$ | ||||
| 4 | C.J. Suess | X | 100.00 | 75 | 69 | 89 | 60 | 69 | 66 | 69 | 58 | 50 | 49 | 62 | 63 | 59 | 44 | 44 | 62 | 47 | 58 | 0 | 27 | 1 | 750,000$ | ||||
| 5 | Antti Suomela | X | X | 100.00 | 73 | 67 | 86 | 74 | 67 | 55 | 55 | 56 | 70 | 60 | 46 | 63 | 44 | 49 | 49 | 57 | 47 | 57 | 0 | 27 | 1 | 750,000$ | |||
| 6 | Bobby Lynch (R) | X | 100.00 | 73 | 66 | 88 | 75 | 66 | 61 | 64 | 53 | 50 | 47 | 54 | 61 | 51 | 44 | 44 | 59 | 50 | 57 | 0 | 23 | 3 | 959,649$ | ||||
| 7 | Michal Teply (R) | X | X | 100.00 | 76 | 71 | 89 | 63 | 71 | 57 | 59 | 52 | 50 | 55 | 44 | 62 | 42 | 44 | 44 | 55 | 50 | 55 | 0 | 20 | 3 | 885,010$ | |||
| 8 | Rourke Chartier (R) | X | 100.00 | 77 | 69 | 95 | 64 | 69 | 47 | 47 | 50 | 63 | 50 | 46 | 62 | 44 | 44 | 44 | 54 | 50 | 54 | 0 | 25 | 3 | 873,441$ | ||||
| 9 | Dmitry Zavgorodniy (R) | X | 100.00 | 72 | 61 | 97 | 66 | 61 | 57 | 60 | 48 | 50 | 45 | 45 | 59 | 43 | 44 | 44 | 54 | 50 | 53 | 0 | 21 | 3 | 798,675$ | ||||
| 10 | Frederic Allard | X | 100.00 | 70 | 66 | 79 | 61 | 66 | 65 | 67 | 58 | 25 | 55 | 45 | 62 | 43 | 51 | 51 | 57 | 50 | 59 | 0 | 23 | 3 | 1,058,000$ | ||||
| 11 | Joey Keane | X | 100.00 | 73 | 68 | 84 | 61 | 68 | 62 | 65 | 53 | 25 | 53 | 39 | 61 | 37 | 44 | 44 | 54 | 47 | 57 | 0 | 22 | 2 | 750,000$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 76 | 63 | 86 | 66 | 69 | 59 | 63 | 55 | 51 | 54 | 50 | 62 | 42 | 46 | 46 | 58 | 48 | 57 | ||||||||||
| 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 | Christopher Gibson | 100.00 | 62 | 50 | 63 | 82 | 67 | 63 | 58 | 66 | 63 | 62 | 30 | 45 | 45 | 61 | 47 | 61 | 0 | |
| 2 | Connor LaCouvee (R) | 100.00 | 51 | 56 | 70 | 75 | 49 | 51 | 50 | 56 | 49 | 49 | 30 | 44 | 44 | 51 | 50 | 53 | 0 | |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 57 | 53 | 67 | 79 | 58 | 57 | 54 | 61 | 56 | 56 | 30 | 45 | 45 | 56 | 49 | 57 | |||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|
| 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 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| # | Goalie Name | Team Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA | ST | BG | S1 | S2 | S3 |
|---|
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Player Name | Team Name | POS | Age | Birthday | Rookie | Weight | Height | No Trade | Available For Trade | Force Waivers | Contract | Type | Current Salary | Salary Remaining | 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Antti Suomela | Monsters (CBJ) | C/LW | 27 | 3/16/1994 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Bobby Lynch | Monsters (CBJ) | RW | 23 | 6/16/1998 | Yes | 172 Lbs | 6 ft2 | No | No | No | 3 | Pro & Farm | 959,649$ | 959,649$ | 0$ | 0$ | No | 959,649$ | 959,649$ | ||||||||
| C.J. Suess | Monsters (CBJ) | LW | 27 | 3/16/1994 | No | 190 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link | |||||||||
| Christopher Gibson | Monsters (CBJ) | G | 28 | 12/27/1992 | No | 217 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 969,000$ | 969,000$ | 0$ | 0$ | No | 872,000$ | Link / NHL Link | ||||||||
| Connor LaCouvee | Monsters (CBJ) | G | 27 | 5/24/1994 | Yes | 201 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 900,240$ | 900,240$ | 0$ | 0$ | No | 900,240$ | 900,240$ | ||||||||
| Dmitry Zavgorodniy | Monsters (CBJ) | LW | 21 | 8/11/2000 | Yes | 173 Lbs | 5 ft9 | No | No | No | 3 | Pro & Farm | 798,675$ | 798,675$ | 0$ | 0$ | No | 798,675$ | 798,675$ | ||||||||
| Frederic Allard | Monsters (CBJ) | D | 23 | 12/27/1997 | No | 179 Lbs | 6 ft1 | No | No | No | 3 | Pro & Farm | 1,058,000$ | 1,058,000$ | 0$ | 0$ | No | 1,058,000$ | 1,058,000$ | Link / NHL Link | |||||||
| Givani Smith | Monsters (CBJ) | LW/RW | 23 | 2/27/1998 | No | 210 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 779,512$ | 779,512$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Glenn Gawdin | Monsters (CBJ) | C | 24 | 3/25/1997 | No | 191 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 851,741$ | 851,741$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Joey Keane | Monsters (CBJ) | D | 22 | 7/2/1999 | No | 187 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Luke Johnson | Monsters (CBJ) | C/RW | 26 | 9/18/1994 | No | 198 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 767,000$ | 767,000$ | 0$ | 0$ | No | 767,000$ | Link / NHL Link | ||||||||
| Michal Teply | Monsters (CBJ) | LW/RW | 20 | 5/27/2001 | Yes | 187 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 885,010$ | 885,010$ | 0$ | 0$ | No | 885,010$ | 885,010$ | ||||||||
| Rourke Chartier | Monsters (CBJ) | C | 25 | 4/3/1996 | Yes | 190 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 873,441$ | 873,441$ | 0$ | 0$ | No | 873,441$ | 873,441$ |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 13 | 24.31 | 190 Lbs | 6 ft0 | 2.15 | 853,251$ |
| 5 vs 5 Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| 5 vs 5 Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 40 | 1 | 2 | 2 | |||
| 2 | 30 | 1 | 2 | 2 | |||
| 3 | 20 | 1 | 2 | 2 | |||
| 4 | 10 | 1 | 2 | 2 | |||
| Power Play Forward | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Power Play Defense | |||||||
|---|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF | |
| 1 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | |||
| Penalty Kill 4 Players Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 4 Players Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Penalty Kill 3 Players | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|
| Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | 60 | 1 | 2 | 2 | |||
| 2 | 40 | 1 | 2 | 2 | 40 | 1 | 2 | 2 | |||
| 4 vs 4 Forward | ||||||
|---|---|---|---|---|---|---|
| Line # | Center | Wing | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| 4 vs 4 Defense | ||||||
|---|---|---|---|---|---|---|
| Line # | Defense | Defense | Time % | PHY | DF | OF |
| 1 | 60 | 1 | 2 | 2 | ||
| 2 | 40 | 1 | 2 | 2 | ||
| Last Minutes Offensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Last Minutes Defensive | ||||
|---|---|---|---|---|
| Left Wing | Center | Right Wing | Defense | Defense |
| Extra Forwards | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Extra Defensemen | ||
|---|---|---|
| Normal | PowerPlay | Penalty Kill |
| , , | , | |
| Penalty Shots |
|---|
| , , , , |
| Goalie |
|---|
| #1 : , #2 : |
| Priority | Type | Description |
|---|---|---|
| 1 | | or OR | Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar |
| 2 | && or AND | Logical "and". Filter the column for content that matches text from either side of the operator. |
| 3 | /\d/ | Add any regex to the query to use in the query ("mig" flags can be included /\w/mig) |
| 4 | < <= >= > | Find alphabetical or numerical values less than or greater than or equal to the filtered query |
| 5 | ! or != | Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter. |
| 6 | " or = | To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query |
| 7 | - or to | Find a range of values. Make sure there is a space before and after the dash (or the word "to") |
| 8 | ? | Wildcard for a single, non-space character. |
| 8 | * | Wildcard for zero or more non-space characters. |
| 9 | ~ | Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query |
| 10 | text | Any text entered in the filter will match text found within the column |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| Total | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0 | 0 | 0 | 0 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 0 | 0 | N/A | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 0 | 0 | 0 | 0 | 0 |
| Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
|---|---|---|---|---|---|---|
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 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 |
|---|---|---|---|---|---|---|---|
| 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 0 | 0 | 0.00% | 0 | 0 | 0.00% | 0 | 0 | 0.00% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 0 | 0 | 0 | 0 | 0 | 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 |
| Day | Game | Visitor Team | Score | Home Team | Score | ST | OT | SO | RI | Link |
|---|---|---|---|---|---|---|---|---|---|---|
| 2 - 2021-09-16 | 16 | Wolves | - | Monsters | - | |||||
| 3 - 2021-09-17 | 28 | Monsters | - | Senators | - | |||||
| 4 - 2021-09-18 | 47 | Senators | - | Monsters | - | |||||
| 6 - 2021-09-20 | 62 | Monsters | - | Senators | - | |||||
| 7 - 2021-09-21 | 71 | Barracuda | - | Monsters | - | |||||
| 8 - 2021-09-22 | 79 | Monsters | - | Wolves | - | |||||
| 9 - 2021-09-23 | 99 | Rocket | - | Monsters | - | |||||
| 11 - 2021-09-25 | 122 | Monsters | - | IceHogs | - | |||||
| 12 - 2021-09-26 | 128 | Monsters | - | Barracuda | - | |||||
| 13 - 2021-09-27 | 142 | IceHogs | - | Monsters | - | |||||
| 14 - 2021-09-28 | 152 | Monsters | - | Rocket | - | |||||
| 16 - 2021-09-30 | 176 | Devils | - | Monsters | - | |||||
| 17 - 2021-10-01 | 180 | Monsters | - | Devils | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 21 - 2021-10-05 | 213 | Wolves | - | Monsters | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 35 | 15 |
| Attendance | 0.00% | 0.00% |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 7 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 1,109,226$ | 1,109,193$ | 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$ | 22 | 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 |
| Regular Season | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2020 | 90 | 40 | 25 | 0 | 6 | 6 | 6 | 7 | 296 | 248 | 48 | 45 | 17 | 11 | 0 | 2 | 5 | 4 | 6 | 152 | 128 | 24 | 45 | 23 | 14 | 0 | 4 | 1 | 2 | 1 | 144 | 120 | 24 | 117 | 296 | 454 | 750 | 1 | 9 | 68 | 108 | 108 | 23 | 2001 | 565 | 709 | 692 | 82 | 1939 | 736 | 834 | 1568 | 232 | 70 | 30.17% | 139 | 49 | 64.75% | 3 | 711 | 1408 | 50.50% | 702 | 1378 | 50.94% | 589 | 1134 | 51.94% | 1679 | 705 | 1633 | 951 | 2161 | 1104 |
| Total Regular Season | 90 | 40 | 25 | 0 | 6 | 6 | 6 | 7 | 296 | 248 | 48 | 45 | 17 | 11 | 0 | 2 | 5 | 4 | 6 | 152 | 128 | 24 | 45 | 23 | 14 | 0 | 4 | 1 | 2 | 1 | 144 | 120 | 24 | 117 | 296 | 454 | 750 | 1 | 9 | 68 | 108 | 108 | 23 | 2001 | 565 | 709 | 692 | 82 | 1939 | 736 | 834 | 1568 | 232 | 70 | 30.17% | 139 | 49 | 64.75% | 3 | 711 | 1408 | 50.50% | 702 | 1378 | 50.94% | 589 | 1134 | 51.94% | 1679 | 705 | 1633 | 951 | 2161 | 1104 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2020 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 3 | 4 | 7 | 0 | 1 | 0 | 0 | 3 | 0 | 63 | 6 | 21 | 28 | 8 | 75 | 19 | 14 | 58 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 35 | 65 | 53.85% | 29 | 53 | 54.72% | 13 | 35 | 37.14% | 87 | 27 | 93 | 60 | 146 | 74 |
| Total Playoff | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 3 | 6 | -3 | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 0 | 3 | 0 | 3 | 0 | 0 | 0 | 0 | 0 | 2 | 5 | -3 | 2 | 3 | 4 | 7 | 0 | 1 | 0 | 0 | 3 | 0 | 63 | 6 | 21 | 28 | 8 | 75 | 19 | 14 | 58 | 9 | 2 | 22.22% | 2 | 1 | 50.00% | 0 | 35 | 65 | 53.85% | 29 | 53 | 54.72% | 13 | 35 | 37.14% | 87 | 27 | 93 | 60 | 146 | 74 |
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