 | Wolves |
| GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0 GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00% GM : Geoff Ford | Morale : 50 | Team Overall : 58 Next Games #8 vs Devils |
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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 | Ryan Lohin (R) | X | 100.00 | 77 | 70 | 94 | 66 | 70 | 52 | 50 | 62 | 78 | 57 | 63 | 65 | 60 | 44 | 44 | 64 | 50 | 59 | 0 | 25 | 3 | 962,481$ | ||||
| 2 | Michael Eyssimont (R) | X | X | 100.00 | 67 | 67 | 67 | 61 | 67 | 71 | 75 | 56 | 70 | 49 | 59 | 59 | 56 | 44 | 44 | 59 | 50 | 57 | 0 | 25 | 3 | 822,755$ | |||
| 3 | Kristian Reichel | X | 100.00 | 73 | 65 | 90 | 67 | 65 | 59 | 60 | 56 | 70 | 50 | 58 | 62 | 55 | 44 | 44 | 60 | 47 | 57 | 0 | 23 | 1 | 1,525,000$ | ||||
| 4 | Andrew Oglevie | X | 100.00 | 67 | 63 | 77 | 63 | 63 | 57 | 57 | 61 | 76 | 57 | 61 | 60 | 58 | 44 | 44 | 61 | 47 | 57 | 0 | 26 | 2 | 934,000$ | ||||
| 5 | Jack Quinn (R) | X | 100.00 | 71 | 65 | 84 | 66 | 65 | 60 | 61 | 59 | 50 | 62 | 51 | 61 | 48 | 44 | 44 | 59 | 50 | 57 | 0 | 19 | 3 | 890,042$ | ||||
| 6 | Mitch McLain | X | 100.00 | 67 | 71 | 59 | 63 | 71 | 55 | 56 | 54 | 68 | 44 | 59 | 58 | 56 | 44 | 44 | 57 | 47 | 55 | 0 | 27 | 2 | 900,000$ | ||||
| 7 | Ridly Greig (R) | X | 100.00 | 69 | 60 | 90 | 62 | 60 | 55 | 55 | 57 | 50 | 56 | 53 | 60 | 50 | 44 | 44 | 58 | 50 | 55 | 0 | 19 | 3 | 940,684$ | ||||
| 8 | Carsen Twarynski | X | X | 100.00 | 81 | 73 | 99 | 66 | 73 | 51 | 53 | 44 | 50 | 38 | 44 | 63 | 42 | 46 | 46 | 53 | 47 | 52 | 0 | 23 | 1 | 750,000$ | |||
| 9 | Joakim Ryan | X | 100.00 | 72 | 67 | 85 | 70 | 67 | 49 | 49 | 54 | 25 | 52 | 39 | 64 | 37 | 58 | 60 | 54 | 47 | 58 | 0 | 28 | 2 | 1,258,000$ | ||||
| 10 | Kaedan Korczak (R) | X | 100.00 | 76 | 74 | 79 | 59 | 74 | 55 | 58 | 46 | 25 | 38 | 39 | 61 | 37 | 44 | 44 | 50 | 50 | 55 | 0 | 20 | 3 | 753,793$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Austin Wagner | X | X | 100.00 | 87 | 45 | 89 | 62 | 69 | 56 | 82 | 59 | 25 | 59 | 59 | 61 | 25 | 61 | 61 | 63 | 50 | 60 | 0 | 24 | 0 | 0$ | |||
| TEAM AVERAGE | 100.00 | 73 | 65 | 83 | 64 | 68 | 56 | 60 | 55 | 53 | 51 | 53 | 61 | 48 | 47 | 47 | 58 | 49 | 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 | Zachary Fucale | 100.00 | 67 | 52 | 65 | 74 | 70 | 70 | 72 | 76 | 75 | 74 | 30 | 44 | 44 | 69 | 50 | 66 | 0 | |
| 2 | Evan Fitzpatrick (R) | 100.00 | 65 | 44 | 55 | 82 | 70 | 64 | 72 | 74 | 71 | 71 | 30 | 44 | 44 | 66 | 50 | 65 | 0 | |
| Scratches | ||||||||||||||||||||
| TEAM AVERAGE | 100.00 | 66 | 48 | 60 | 78 | 70 | 67 | 72 | 75 | 73 | 73 | 30 | 44 | 44 | 68 | 50 | 66 | |||
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Andrew Oglevie | Wolves (HAR) | C | 26 | 2/15/1995 | No | 176 Lbs | 5 ft10 | No | No | No | 2 | Pro & Farm | 934,000$ | 934,000$ | 0$ | 0$ | No | 934,000$ | Link / NHL Link | ||||||||
| Austin Wagner | Wolves (HAR) | LW/RW | 24 | 6/22/1997 | No | 185 Lbs | 6 ft1 | No | No | No | 0 | Pro & Farm | 0$ | 0$ | No | Link / NHL Link | |||||||||||
| Carsen Twarynski | Wolves (HAR) | LW/RW | 23 | 11/24/1997 | No | 198 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Evan Fitzpatrick | Wolves (HAR) | G | 23 | 1/27/1998 | Yes | 206 Lbs | 6 ft3 | No | No | No | 3 | Pro & Farm | 842,906$ | 842,906$ | 0$ | 0$ | No | 842,906$ | 842,906$ | ||||||||
| Jack Quinn | Wolves (HAR) | RW | 19 | 9/19/2001 | Yes | 176 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 890,042$ | 890,042$ | 0$ | 0$ | No | 890,042$ | 890,042$ | ||||||||
| Joakim Ryan | Wolves (HAR) | D | 28 | 6/17/1993 | No | 185 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 1,258,000$ | 1,258,000$ | 0$ | 0$ | No | 1,258,000$ | Link / NHL Link | ||||||||
| Kaedan Korczak | Wolves (HAR) | D | 20 | 1/29/2001 | Yes | 192 Lbs | 6 ft4 | No | No | No | 3 | Pro & Farm | 753,793$ | 753,793$ | 0$ | 0$ | No | 753,793$ | 753,793$ | ||||||||
| Kristian Reichel | Wolves (HAR) | C | 23 | 6/11/1998 | No | 176 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,525,000$ | 1,525,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Michael Eyssimont | Wolves (HAR) | C/LW | 25 | 9/9/1996 | Yes | 181 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 822,755$ | 822,755$ | 0$ | 0$ | No | 822,755$ | 822,755$ | ||||||||
| Mitch McLain | Wolves (HAR) | C | 27 | 12/9/1993 | No | 196 Lbs | 6 ft0 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Link | ||||||||
| Ridly Greig | Wolves (HAR) | LW | 19 | 8/8/2002 | Yes | 163 Lbs | 5 ft11 | No | No | No | 3 | Pro & Farm | 940,684$ | 940,684$ | 0$ | 0$ | No | 940,684$ | 940,684$ | ||||||||
| Ryan Lohin | Wolves (HAR) | C | 25 | 6/26/1996 | Yes | 192 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 962,481$ | 962,481$ | 0$ | 0$ | No | 962,481$ | 962,481$ | ||||||||
| Zachary Fucale | Wolves (HAR) | G | 26 | 5/27/1995 | No | 187 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,000,000$ | 1,000,000$ | 0$ | 0$ | No |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 13 | 23.69 | 186 Lbs | 6 ft1 | 2.08 | 890,743$ |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 - 2021-09-15 | 8 | Devils | - | Wolves | - | |||||
| 2 - 2021-09-16 | 16 | Wolves | - | Monsters | - | |||||
| 3 - 2021-09-17 | 35 | Wolves | - | Rocket | - | |||||
| 5 - 2021-09-19 | 48 | Wolves | - | Devils | - | |||||
| 6 - 2021-09-20 | 61 | Rocket | - | Wolves | - | |||||
| 8 - 2021-09-22 | 79 | Monsters | - | Wolves | - | |||||
| 9 - 2021-09-23 | 94 | Wolves | - | IceHogs | - | |||||
| 11 - 2021-09-25 | 114 | Senators | - | Wolves | - | |||||
| 12 - 2021-09-26 | 137 | IceHogs | - | Wolves | - | |||||
| 14 - 2021-09-28 | 159 | Devils | - | Wolves | - | |||||
| 15 - 2021-09-29 | 162 | Wolves | - | Barracuda | - | |||||
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 18 - 2021-10-02 | 193 | Barracuda | - | Wolves | - | |||||
| 20 - 2021-10-04 | 203 | Wolves | - | Senators | - | |||||
| 21 - 2021-10-05 | 213 | Wolves | - | Monsters | - | |||||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 35 | 16 |
| 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$ | 1,157,966$ | 1,157,966$ | 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 | 53 | 17 | 0 | 4 | 6 | 8 | 2 | 354 | 246 | 108 | 45 | 26 | 11 | 0 | 1 | 2 | 4 | 1 | 176 | 125 | 51 | 45 | 27 | 6 | 0 | 3 | 4 | 4 | 1 | 178 | 121 | 57 | 138 | 354 | 583 | 937 | 2 | 6 | 80 | 134 | 128 | 20 | 2807 | 791 | 1080 | 923 | 43 | 2172 | 730 | 1845 | 2107 | 234 | 65 | 27.78% | 330 | 80 | 75.76% | 8 | 984 | 1838 | 53.54% | 910 | 1715 | 53.06% | 680 | 1253 | 54.27% | 1786 | 854 | 1655 | 963 | 2013 | 950 |
| 2020 | 90 | 21 | 46 | 0 | 9 | 6 | 4 | 4 | 188 | 238 | -50 | 45 | 12 | 23 | 0 | 3 | 3 | 2 | 2 | 92 | 115 | -23 | 45 | 9 | 23 | 0 | 6 | 3 | 2 | 2 | 96 | 123 | -27 | 78 | 188 | 290 | 478 | 3 | 10 | 30 | 64 | 81 | 20 | 1356 | 272 | 440 | 622 | 48 | 1805 | 612 | 1091 | 1634 | 188 | 47 | 25.00% | 229 | 64 | 72.05% | 10 | 574 | 1156 | 49.65% | 709 | 1498 | 47.33% | 438 | 923 | 47.45% | 1529 | 518 | 1658 | 991 | 2264 | 1165 |
| Total Regular Season | 180 | 74 | 63 | 0 | 13 | 12 | 12 | 6 | 542 | 484 | 58 | 90 | 38 | 34 | 0 | 4 | 5 | 6 | 3 | 268 | 240 | 28 | 90 | 36 | 29 | 0 | 9 | 7 | 6 | 3 | 274 | 244 | 30 | 216 | 542 | 873 | 1415 | 5 | 16 | 110 | 198 | 209 | 40 | 4163 | 1063 | 1520 | 1545 | 91 | 3977 | 1342 | 2936 | 3741 | 422 | 112 | 26.54% | 559 | 144 | 74.24% | 18 | 1558 | 2994 | 52.04% | 1619 | 3213 | 50.39% | 1118 | 2176 | 51.38% | 3315 | 1373 | 3314 | 1954 | 4277 | 2116 |
| Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
| 2020 | 24 | 13 | 11 | 0 | 0 | 0 | 0 | 0 | 83 | 75 | 8 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 57 | 47 | 10 | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 28 | -2 | 26 | 83 | 137 | 220 | 2 | 2 | 16 | 33 | 32 | 2 | 884 | 251 | 314 | 296 | 23 | 695 | 230 | 407 | 635 | 53 | 10 | 18.87% | 100 | 20 | 80.00% | 4 | 281 | 554 | 50.72% | 279 | 523 | 53.35% | 203 | 359 | 56.55% | 481 | 251 | 503 | 253 | 485 | 217 |
| Total Playoff | 24 | 13 | 11 | 0 | 0 | 0 | 0 | 0 | 83 | 75 | 8 | 13 | 9 | 4 | 0 | 0 | 0 | 0 | 0 | 57 | 47 | 10 | 11 | 4 | 7 | 0 | 0 | 0 | 0 | 0 | 26 | 28 | -2 | 26 | 83 | 137 | 220 | 2 | 2 | 16 | 33 | 32 | 2 | 884 | 251 | 314 | 296 | 23 | 695 | 230 | 407 | 635 | 53 | 10 | 18.87% | 100 | 20 | 80.00% | 4 | 281 | 554 | 50.72% | 279 | 523 | 53.35% | 203 | 359 | 56.55% | 481 | 251 | 503 | 253 | 485 | 217 |
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