| Wolf Pack | |
| GP: 18 | W: 0 | L: 17 | OTL: 1 | P: 1 GF: 34 | GA: 156 | PP%: 10.91% | PK%: 61.11% GM : Daniel | Morale : 50 | Team Overall : 58 |
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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 | Nicholas Caamano (R) | X | 100.00 | 74 | 73 | 76 | 63 | 73 | 56 | 57 | 53 | 50 | 46 | 56 | 62 | 53 | 45 | 45 | 58 | 50 | 56 | 0 | 24 | 2 | 750,000$ | ||||
| 2 | Dominik Bokk (R) | X | X | 100.00 | 76 | 69 | 91 | 67 | 69 | 52 | 53 | 51 | 50 | 50 | 47 | 62 | 45 | 44 | 44 | 55 | 50 | 55 | 0 | 22 | 2 | 1,137,500$ | |||
| 3 | Jarred Tinordi | X | 100.00 | 80 | 91 | 54 | 68 | 91 | 56 | 59 | 47 | 25 | 36 | 40 | 66 | 38 | 56 | 57 | 52 | 50 | 60 | 0 | 30 | 2 | 900,000$ | ||||
| 4 | Linus Hogberg (R) | X | 100.00 | 74 | 66 | 91 | 65 | 66 | 65 | 70 | 46 | 25 | 37 | 39 | 60 | 37 | 44 | 44 | 52 | 50 | 57 | 0 | 24 | 2 | 900,000$ | ||||
| 5 | Max Gildon (R) | X | 100.00 | 78 | 73 | 91 | 70 | 73 | 50 | 51 | 47 | 25 | 38 | 41 | 62 | 39 | 44 | 44 | 52 | 50 | 57 | 0 | 23 | 2 | 853,333$ | ||||
| Scratches | |||||||||||||||||||||||||||||
| 1 | Rem Pitlick (R) | X | X | X | 100.00 | 63 | 41 | 88 | 75 | 70 | 69 | 68 | 67 | 46 | 76 | 74 | 73 | 75 | 54 | 54 | 73 | 50 | 68 | 0 | 25 | 1 | 1,200,000$ | ||
| 2 | Ian McCoshen | X | 100.00 | 78 | 80 | 72 | 60 | 80 | 54 | 57 | 46 | 25 | 37 | 39 | 63 | 37 | 50 | 50 | 50 | 50 | 57 | 0 | 27 | 1 | 750,000$ | ||||
| TEAM AVERAGE | 100.00 | 75 | 70 | 80 | 67 | 75 | 57 | 59 | 51 | 35 | 46 | 48 | 64 | 46 | 48 | 48 | 56 | 50 | 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 | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Scratches | |||||||||||||||||||||||
| 1 | Jean-Francois Berube | 100.00 | 47 | 51 | 64 | 66 | 44 | 48 | 50 | 53 | 48 | 48 | 30 | 47 | 47 | 49 | 50 | 51 | 0 | 31 | 1 | 3,500,000$ | |
| TEAM AVERAGE | 100.00 | 47 | 51 | 64 | 66 | 44 | 48 | 50 | 53 | 48 | 48 | 30 | 47 | 47 | 49 | 50 | 51 | ||||||
| Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Pascal Vincent | 67 | 68 | 66 | 69 | 76 | 71 | 76 | CAN | 50 | 1 | 900,000$ |
| 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 |
|---|
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dominik Bokk | Wolf Pack (NYR) | LW/RW | 22 | 2000-02-03 | Yes | 181 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 1,137,500$ | 1,137,500$ | 0$ | 0$ | No | 1,137,500$ | Link | ||||||||
| Ian McCoshen | Wolf Pack (NYR) | D | 27 | 1995-08-05 | No | 218 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | Link / NHL Link | |||||||||
| Jarred Tinordi | Wolf Pack (NYR) | D | 30 | 1992-02-20 | No | 230 Lbs | 6 ft6 | Yes | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Link / NHL Link | ||||||||
| Jean-Francois Berube (1 Way Contract) | Wolf Pack (NYR) | G | 31 | 1991-07-13 | No | 177 Lbs | 6 ft1 | Yes | No | No | 1 | Pro & Farm | 3,500,000$ | 3,500,000$ | 2,375,000$ | 2,375,000$ | No | Link | |||||||||
| Linus Hogberg | Wolf Pack (NYR) | D | 24 | 1998-09-04 | Yes | 176 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 900,000$ | 900,000$ | 0$ | 0$ | No | 900,000$ | Link | ||||||||
| Max Gildon | Wolf Pack (NYR) | D | 23 | 1999-05-17 | Yes | 194 Lbs | 6 ft3 | No | No | No | 2 | Pro & Farm | 853,333$ | 853,333$ | 0$ | 0$ | No | 853,333$ | Link | ||||||||
| Nicholas Caamano | Wolf Pack (NYR) | RW | 24 | 1998-09-07 | Yes | 195 Lbs | 6 ft2 | No | No | No | 2 | Pro & Farm | 750,000$ | 750,000$ | 0$ | 0$ | No | 750,000$ | Link | ||||||||
| Rem Pitlick | Wolf Pack (NYR) | C/LW/RW | 25 | 1997-04-02 | Yes | 196 Lbs | 5 ft11 | No | No | No | 1 | Pro & Farm | 1,200,000$ | 1,200,000$ | 0$ | 0$ | No | Link / NHL Link |
| Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
|---|---|---|---|---|---|
| 8 | 25.75 | 196 Lbs | 6 ft2 | 1.63 | 1,248,854$ |
| 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 : |
| 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 |
| Overall | Home | Visitor | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| # | VS Team | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | GP | W | L | T | OTW | OTL | SOW | SOL | GF | GA | Diff | P | PCT | G | A | TP | SO | EG | GP1 | GP2 | GP3 | GP4 | SHF | SH1 | SP2 | SP3 | SP4 | SHA | SHB | Pim | Hit | PPA | PPG | PP% | PKA | PK GA | PK% | PK GF | W OF FO | T OF FO | OF FO% | W DF FO | T DF FO | DF FO% | W NT FO | T NT FO | NT FO% | PZ DF | PZ OF | PZ NT | PC DF | PC OF | PC NT |
| 1 | Admirals | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 1 | 1 | 2 | 0 | 0 | 16 | 7 | 11 | 0 | 22 | 143 | 99 | 132 | 3 | 58 | 18 | 8 | 22 | 1 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 2 | Canucks | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 17 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 8 | -5 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 9 | -8 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 16 | 7 | 11 | 0 | 47 | 143 | 99 | 132 | 3 | 106 | 24 | 8 | 29 | 4 | 1 | 25.00% | 4 | 3 | 25.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 3 | Comets | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 14 | -13 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 3 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 16 | 7 | 11 | 0 | 27 | 143 | 99 | 132 | 3 | 104 | 29 | 14 | 33 | 5 | 0 | 0.00% | 7 | 3 | 57.14% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 4 | Crunch | 2 | 0 | 1 | 0 | 0 | 1 | 0 | 0 | 7 | 10 | -3 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 5 | -2 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.250 | 7 | 14 | 21 | 0 | 0 | 16 | 7 | 11 | 0 | 69 | 143 | 99 | 132 | 3 | 119 | 37 | 10 | 64 | 2 | 0 | 0.00% | 4 | 0 | 100.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 5 | Griffins | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 20 | -17 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 11 | -10 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 9 | -7 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 16 | 7 | 11 | 0 | 22 | 143 | 99 | 132 | 3 | 118 | 38 | 10 | 19 | 3 | 1 | 33.33% | 4 | 2 | 50.00% | 1 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 6 | IceHogs | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | -8 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 0 | 0 | 0 | 0 | 0 | 16 | 7 | 11 | 0 | 22 | 143 | 99 | 132 | 3 | 55 | 10 | 12 | 18 | 5 | 0 | 0.00% | 6 | 3 | 50.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 7 | Marlies | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 1 | 23 | -22 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 12 | -11 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | -11 | 0 | 0.000 | 1 | 2 | 3 | 0 | 0 | 16 | 7 | 11 | 0 | 32 | 143 | 99 | 132 | 3 | 102 | 31 | 6 | 15 | 12 | 0 | 0.00% | 2 | 1 | 50.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 8 | Monsters | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 10 | 14 | -4 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 6 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 5 | 8 | -3 | 0 | 0.000 | 10 | 19 | 29 | 0 | 0 | 16 | 7 | 11 | 0 | 84 | 143 | 99 | 132 | 3 | 125 | 28 | 4 | 54 | 2 | 2 | 100.00% | 2 | 1 | 50.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 9 | Rocket | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 3 | 22 | -19 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 8 | -7 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 2 | 14 | -12 | 0 | 0.000 | 3 | 6 | 9 | 0 | 0 | 16 | 7 | 11 | 0 | 20 | 143 | 99 | 132 | 3 | 118 | 34 | 19 | 24 | 8 | 1 | 12.50% | 1 | 0 | 100.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| 10 | Senators | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 19 | -15 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 12 | -9 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 7 | -6 | 0 | 0.000 | 4 | 8 | 12 | 0 | 0 | 16 | 7 | 11 | 0 | 32 | 143 | 99 | 132 | 3 | 112 | 25 | 4 | 33 | 13 | 1 | 7.69% | 2 | 1 | 50.00% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 |
| Total | 18 | 0 | 17 | 0 | 0 | 1 | 0 | 0 | 34 | 156 | -122 | 9 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 17 | 73 | -56 | 9 | 0 | 8 | 0 | 0 | 1 | 0 | 0 | 17 | 83 | -66 | 1 | 0.028 | 34 | 66 | 100 | 0 | 0 | 16 | 7 | 11 | 0 | 377 | 143 | 99 | 132 | 3 | 1017 | 274 | 95 | 311 | 55 | 6 | 10.91% | 36 | 14 | 61.11% | 1 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 | |
| _Since Last GM Reset | 18 | 0 | 17 | 0 | 0 | 1 | 0 | 0 | 34 | 156 | -122 | 9 | 0 | 9 | 0 | 0 | 0 | 0 | 0 | 17 | 73 | -56 | 9 | 0 | 8 | 0 | 0 | 1 | 0 | 0 | 17 | 83 | -66 | 1 | 0.028 | 34 | 66 | 100 | 0 | 0 | 16 | 7 | 11 | 0 | 377 | 143 | 99 | 132 | 3 | 1017 | 274 | 95 | 311 | 55 | 6 | 10.91% | 36 | 14 | 61.11% | 1 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 | |
| _Vs Conference | 16 | 0 | 15 | 0 | 0 | 1 | 0 | 0 | 33 | 139 | -106 | 8 | 0 | 8 | 0 | 0 | 0 | 0 | 0 | 17 | 65 | -48 | 8 | 0 | 7 | 0 | 0 | 1 | 0 | 0 | 16 | 74 | -58 | 1 | 0.031 | 33 | 65 | 98 | 0 | 0 | 16 | 7 | 11 | 0 | 333 | 143 | 99 | 132 | 3 | 904 | 246 | 75 | 271 | 49 | 6 | 12.24% | 26 | 11 | 57.69% | 1 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 | |
| _Vs Division | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 28 | -17 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 9 | -4 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 6 | 19 | -13 | 0 | 0.000 | 11 | 21 | 32 | 0 | 0 | 16 | 7 | 11 | 0 | 111 | 143 | 99 | 132 | 3 | 229 | 57 | 18 | 87 | 7 | 2 | 28.57% | 9 | 4 | 55.56% | 0 | 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% | 216 | 141 | 688 | 124 | 179 | 64 | |
| Total For Players | ||||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
| 18 | 1 | L16 | 34 | 66 | 100 | 377 | 1017 | 274 | 95 | 311 | 0 | 0 |
| All Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 18 | 0 | 17 | 0 | 1 | 0 | 0 | 34 | 156 |
| Home Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 0 | 9 | 0 | 0 | 0 | 0 | 17 | 73 |
| Visitor Games | ||||||||
|---|---|---|---|---|---|---|---|---|
| GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
| 9 | 0 | 8 | 0 | 1 | 0 | 0 | 17 | 83 |
| Last 10 Games | |||||
|---|---|---|---|---|---|
| W | L | OTW | OTL | SOW | SOL |
| 0 | 10 | 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 |
|---|---|---|---|---|---|---|
| 55 | 6 | 10.91% | 36 | 14 | 61.11% | 1 |
| Shots 1 Period | Shots 2 Period | Shots 3 Period | Shots 4+ Period | Goals 1 Period | Goals 2 Period | Goals 3 Period | Goals 4+ Period |
|---|---|---|---|---|---|---|---|
| 143 | 99 | 132 | 3 | 16 | 7 | 11 | 0 |
| Face Offs | ||||||||
|---|---|---|---|---|---|---|---|---|
| Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
| 107 | 305 | 35.08% | 175 | 551 | 31.76% | 108 | 333 | 32.43% |
| Puck Time | |||||
|---|---|---|---|---|---|
| In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
| 216 | 141 | 688 | 124 | 179 | 64 |
| 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 |
|---|---|---|---|---|---|---|---|---|---|---|
| Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
| 1 - 2022-11-21 | 9 | IceHogs | 8 | Wolf Pack | 0 | BL | BoxScore | |||
| 2 - 2022-11-22 | 23 | Wolf Pack | 4 | Crunch | 5 | AL | X | BoxScore | ||
| 3 - 2022-11-23 | 39 | Comets | 3 | Wolf Pack | 0 | BL | BoxScore | |||
| 6 - 2022-11-26 | 62 | Wolf Pack | 5 | Monsters | 8 | AL | BoxScore | |||
| 7 - 2022-11-27 | 78 | Wolf Pack | 1 | Admirals | 9 | AL | BoxScore | |||
| 8 - 2022-11-28 | 93 | Senators | 12 | Wolf Pack | 3 | BL | BoxScore | |||
| 9 - 2022-11-29 | 112 | Monsters | 6 | Wolf Pack | 5 | BL | BoxScore | |||
| 10 - 2022-11-30 | 133 | Rocket | 8 | Wolf Pack | 1 | BL | BoxScore | |||
| 12 - 2022-12-02 | 157 | Wolf Pack | 2 | Rocket | 14 | AL | BoxScore | |||
| 13 - 2022-12-03 | 164 | Griffins | 11 | Wolf Pack | 1 | BL | BoxScore | |||
| 14 - 2022-12-04 | 176 | Wolf Pack | 0 | Marlies | 11 | AL | BoxScore | |||
| 15 - 2022-12-05 | 195 | Marlies | 12 | Wolf Pack | 1 | BL | BoxScore | |||
| 16 - 2022-12-06 | 209 | Wolf Pack | 1 | Comets | 11 | AL | BoxScore | |||
| 18 - 2022-12-08 | 228 | Canucks | 8 | Wolf Pack | 3 | BL | BoxScore | |||
| 19 - 2022-12-09 | 237 | Wolf Pack | 1 | Canucks | 9 | AL | BoxScore | |||
| 21 - 2022-12-11 | 259 | Crunch | 5 | Wolf Pack | 3 | BL | BoxScore | |||
| 22 - 2022-12-12 | 269 | Wolf Pack | 2 | Griffins | 9 | AL | BoxScore | |||
| 23 - 2022-12-13 | 285 | Wolf Pack | 1 | Senators | 7 | AL | BoxScore | |||
| Arena Capacity - Ticket Price Attendance - % | ||
|---|---|---|
| Level 1 | Level 2 | |
| Capacity | 2000 | 1000 |
| Ticket Price | 19 | 0 |
| Attendance | 0 | 0 |
| Attendance PCT | 0.00% | 0.00% |
| Income | |||||
|---|---|---|---|---|---|
| Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Capacity | Team Popularity |
| 0 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
| Expenses | |||
|---|---|---|---|
| Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
| 0$ | 649,083$ | 649,083$ | 0$ |
| Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
|---|---|---|---|
| 0$ | 0$ | 0 | 0 |
| Estimate | |||
|---|---|---|---|
| Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
| 0$ | 0 | 0$ | 0$ |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|
| 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 |
| # | Player Name | GP | G | A | P | +/- | PIM | HIT | HTT | SHT | SHT% | SB | MP | AMG | PPG | PPA | PPP | PPS | PKG | PKA | PKP | PKS | GW | GT | FO% | HT | P/20 | PSG | PSS |
|---|
| # | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
|---|