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 | Cole Koepke (R) | X | 100.00 | 82 | 45 | 92 | 76 | 66 | 50 | 40 | 47 | 30 | 40 | 54 | 55 | 50 | 84 | 71 | 0 | 90 | 55 | 0 | ||||
2 | Alex Galchenyuk | X | 100.00 | 57 | 45 | 90 | 77 | 65 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 89 | 76 | 0 | 90 | 54 | 0 | ||||
3 | Marian Studenic | X | 100.00 | 50 | 45 | 95 | 77 | 63 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 84 | 71 | 0 | 90 | 53 | 0 | ||||
4 | Markus Granlund | X | 100.00 | 50 | 45 | 95 | 78 | 56 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 90 | 77 | 0 | 90 | 53 | 0 | ||||
5 | John Persson | X | 100.00 | 50 | 45 | 95 | 74 | 75 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 91 | 78 | 0 | 90 | 58 | 0 | ||||
6 | Paul Ladue | X | 100.00 | 50 | 45 | 95 | 76 | 67 | 50 | 40 | 45 | 30 | 40 | 50 | 55 | 50 | 91 | 78 | 0 | 90 | 57 | 0 | ||||
Scratches | ||||||||||||||||||||||||||
TEAM AVERAGE | 100.00 | 57 | 45 | 94 | 76 | 65 | 50 | 40 | 45 | 30 | 40 | 51 | 55 | 50 | 88 | 75 | 0 | 90 | 55 |
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 | Veini Vehvilainen (R) | 100.00 | 70 | 40 | 40 | 81 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 83 | 70 | 0 | 90 | 57 | 0 | |
Scratches | ||||||||||||||||||||
1 | Zach Sawchenko (R) | 75.82 | 70 | 40 | 40 | 83 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 84 | 72 | 0 | 90 | 58 | 0 | |
TEAM AVERAGE | 87.50 | 70 | 40 | 40 | 82 | 65 | 65 | 65 | 65 | 65 | 65 | 65 | 84 | 71 | 0 | 90 | 58 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
John Stevens | 65 | 65 | 65 | 65 | 91 | 75 | 58 | CAN | 57 | 3 | 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 | Alex Galchenyuk | Igloos (NUN) | LW | 11 | 2 | 5 | 7 | -1 | 0 | 0 | 6 | 8 | 27 | 8 | 16 | 7.41% | 6 | 185 | 16.86 | 0 | 1 | 1 | 4 | 13 | 0 | 0 | 0 | 0 | 27 | 0 | 0 | 41.67% | 12 | 8 | 3 | 0 | 0 | 0.75 | 0 | 0 | 0 | 0 | 0 | 0 | 2 | 1 |
2 | Marian Studenic | Igloos (NUN) | RW | 11 | 3 | 3 | 6 | 0 | 5 | 5 | 2 | 5 | 20 | 7 | 18 | 15.00% | 0 | 168 | 15.35 | 0 | 0 | 0 | 1 | 13 | 1 | 0 | 1 | 3 | 17 | 0 | 0 | 22.22% | 9 | 5 | 2 | 0 | 0 | 0.71 | 0 | 0 | 0 | 0 | 1 | 0 | 1 | 1 |
3 | Markus Granlund | Igloos (NUN) | RW | 7 | 5 | 1 | 6 | -6 | 2 | 0 | 1 | 6 | 29 | 9 | 13 | 17.24% | 4 | 142 | 20.37 | 3 | 0 | 3 | 9 | 18 | 0 | 1 | 1 | 1 | 8 | 1 | 1 | 25.00% | 4 | 5 | 1 | 0 | 0 | 0.84 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 |
4 | Cole Koepke | Igloos (NUN) | LW | 5 | 3 | 2 | 5 | -1 | 6 | 0 | 7 | 3 | 13 | 3 | 5 | 23.08% | 2 | 87 | 17.52 | 2 | 1 | 3 | 7 | 15 | 0 | 0 | 0 | 0 | 7 | 0 | 0 | 39.39% | 33 | 2 | 3 | 0 | 0 | 1.14 | 0 | 0 | 0 | 0 | 0 | 2 | 1 | 0 |
5 | John Persson | Igloos (NUN) | D | 11 | 0 | 1 | 1 | -11 | 2 | 0 | 3 | 8 | 9 | 2 | 2 | 0.00% | 18 | 248 | 22.58 | 0 | 1 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 4 | 9 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
6 | Paul Ladue | Igloos (NUN) | D | 11 | 0 | 1 | 1 | -10 | 0 | 0 | 6 | 14 | 9 | 3 | 4 | 0.00% | 13 | 247 | 22.52 | 0 | 1 | 1 | 1 | 20 | 0 | 0 | 0 | 0 | 26 | 0 | 0 | 0.00% | 0 | 4 | 7 | 0 | 0 | 0.08 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 56 | 13 | 13 | 26 | -29 | 15 | 5 | 25 | 44 | 107 | 32 | 58 | 12.15% | 43 | 1080 | 19.30 | 5 | 4 | 9 | 23 | 101 | 1 | 1 | 2 | 4 | 113 | 1 | 1 | 36.21% | 58 | 28 | 25 | 0 | 0 | 0.48 | 0 | 0 | 0 | 0 | 1 | 3 | 5 | 3 |
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 | Zach Sawchenko | Igloos (NUN) | 8 | 4 | 2 | 1 | 0.842 | 3.62 | 481 | 0 | 0 | 29 | 183 | 89 | 1 | 0 | 0.000 | 0 | 8 | 0 | 1 | 0 | 1 |
2 | Veini Vehvilainen | Igloos (NUN) | 3 | 0 | 1 | 1 | 0.857 | 4.42 | 95 | 0 | 0 | 7 | 49 | 26 | 0 | 0 | 0.000 | 0 | 2 | 10 | 0 | 0 | 0 |
Team Total or Average | 11 | 4 | 3 | 2 | 0.845 | 3.75 | 576 | 0 | 0 | 36 | 232 | 115 | 1 | 0 | 0.000 | 0 | 10 | 10 | 1 | 0 | 1 |
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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Alex Galchenyuk | Igloos (NUN) | LW | 29 | 1994-02-12 | No | 194 Lbs | 6 ft1 | No | No | No | 1 | UFA | Pro & Farm | 4,000,000$ | 0$ | 0$ | No | |
Cole Koepke | Igloos (NUN) | LW | 25 | 1998-05-17 | Yes | 196 Lbs | 6 ft1 | No | No | No | 4 | RFA | Pro & Farm | 825,000$ | 0$ | 0$ | No | |
John Persson | Igloos (NUN) | D | 30 | 1992-10-12 | No | 209 Lbs | 6 ft2 | No | No | No | 1 | UFA | Pro & Farm | 700,000$ | 0$ | 0$ | No | |
Marian Studenic | Igloos (NUN) | RW | 24 | 1998-10-28 | No | 190 Lbs | 6 ft1 | No | No | No | 3 | RFA | Pro & Farm | 800,000$ | 0$ | 0$ | No | |
Markus Granlund | Igloos (NUN) | RW | 30 | 1993-04-16 | No | 180 Lbs | 6 ft0 | No | No | No | 1 | UFA | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | |
Paul Ladue | Igloos (NUN) | D | 31 | 1992-09-06 | No | 200 Lbs | 6 ft3 | No | No | No | 1 | UFA | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | |
Veini Vehvilainen | Igloos (NUN) | G | 26 | 1997-02-13 | Yes | 181 Lbs | 6 ft0 | No | No | No | 1 | RFA | Pro & Farm | 2,500,000$ | 0$ | 0$ | No | |
Zach Sawchenko (Out of Payroll) | Igloos (NUN) | G | 25 | 1997-12-30 | Yes | 185 Lbs | 6 ft1 | No | No | No | 2 | RFA | Pro & Farm | 900,000$ | 0$ | 0$ | Yes |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
8 | 27.50 | 192 Lbs | 6 ft1 | 1.75 | 1,840,625$ |
5 vs 5 Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 35 | 1 | 2 | 2 | |||
2 | Alex Galchenyuk | Marian Studenic | 30 | 1 | 2 | 2 | |
3 | 25 | 1 | 2 | 2 | |||
4 | Alex Galchenyuk | 10 | 1 | 2 | 2 |
5 vs 5 Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | John Persson | Paul Ladue | 35 | 1 | 2 | 2 | |
2 | 30 | 1 | 2 | 2 | |||
3 | 25 | 1 | 2 | 2 | |||
4 | John Persson | Paul Ladue | 10 | 1 | 2 | 2 |
Power Play Forward | |||||||
---|---|---|---|---|---|---|---|
Line # | Left Wing | Center | Right Wing | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | |||
2 | Alex Galchenyuk | Marian Studenic | 45 | 1 | 2 | 2 |
Power Play Defense | |||||||
---|---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF | |
1 | John Persson | Paul Ladue | 55 | 1 | 2 | 2 | |
2 | 45 | 1 | 2 | 2 |
Penalty Kill 4 Players Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Alex Galchenyuk | 55 | 1 | 2 | 2 | |
2 | Marian Studenic | 45 | 1 | 2 | 2 |
Penalty Kill 4 Players Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | John Persson | Paul Ladue | 55 | 1 | 2 | 2 |
2 | 45 | 1 | 2 | 2 |
Penalty Kill 3 Players | |||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|
Line # | Wing | Time % | PHY | DF | OF | Defense | Defense | Time % | PHY | DF | OF |
1 | 55 | 1 | 2 | 2 | John Persson | Paul Ladue | 55 | 1 | 2 | 2 | |
2 | Alex Galchenyuk | 45 | 1 | 2 | 2 | 45 | 1 | 2 | 2 |
4 vs 4 Forward | ||||||
---|---|---|---|---|---|---|
Line # | Center | Wing | Time % | PHY | DF | OF |
1 | Alex Galchenyuk | 55 | 1 | 2 | 2 | |
2 | Marian Studenic | 45 | 1 | 2 | 2 |
4 vs 4 Defense | ||||||
---|---|---|---|---|---|---|
Line # | Defense | Defense | Time % | PHY | DF | OF |
1 | John Persson | Paul Ladue | 55 | 1 | 2 | 2 |
2 | 45 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
John Persson | Paul Ladue |
Last Minutes Defensive | ||||
---|---|---|---|---|
Left Wing | Center | Right Wing | Defense | Defense |
John Persson | Paul Ladue |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
Marian Studenic, , | Marian Studenic, |
Extra Defensemen | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
John Persson, Paul Ladue, | John Persson | Paul Ladue, |
Penalty Shots |
---|
, Alex Galchenyuk, , Marian Studenic, |
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 |
1 | Bandits | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.000 | 3 | 5 | 8 | 0 | 0 | 8 | 10 | 21 | 0 | 22 | 58 | 90 | 126 | 0 | 24 | 8 | 21 | 13 | 2 | 0 | 0.00% | 8 | 2 | 75.00% | 0 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
2 | CoolFm | 2 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 6 | 7 | -1 | 1 | 0 | 1 | 0 | 0 | 0 | 0 | 0 | 1 | 4 | -3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 5 | 3 | 2 | 2 | 0.500 | 6 | 11 | 17 | 0 | 0 | 8 | 10 | 21 | 0 | 51 | 58 | 90 | 126 | 0 | 53 | 19 | 10 | 24 | 3 | 1 | 33.33% | 5 | 2 | 60.00% | 0 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
3 | Goons | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 6 | 5 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 4 | 1 | 3 | 1 | 1 | 0 | 0 | 0 | 0 | 0 | 0 | 7 | 5 | 2 | 4 | 1.000 | 11 | 20 | 31 | 0 | 0 | 8 | 10 | 21 | 0 | 68 | 58 | 90 | 126 | 0 | 54 | 22 | 10 | 35 | 12 | 4 | 33.33% | 5 | 1 | 80.00% | 0 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
4 | Hunters | 4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 16 | -4 | 2 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 8 | 5 | 3 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 4 | 11 | -7 | 4 | 0.500 | 12 | 22 | 34 | 0 | 0 | 8 | 10 | 21 | 0 | 76 | 58 | 90 | 126 | 0 | 81 | 29 | 59 | 50 | 11 | 4 | 36.36% | 12 | 2 | 83.33% | 1 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
5 | Husky | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 3 | 4 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0.500 | 3 | 6 | 9 | 0 | 0 | 8 | 10 | 21 | 0 | 30 | 58 | 90 | 126 | 0 | 18 | 6 | 2 | 14 | 2 | 0 | 0.00% | 1 | 0 | 100.00% | 0 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
Total | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 39 | 42 | -3 | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 18 | 1 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 24 | -4 | 12 | 0.545 | 39 | 72 | 111 | 0 | 0 | 8 | 10 | 21 | 0 | 274 | 58 | 90 | 126 | 0 | 264 | 91 | 110 | 151 | 31 | 9 | 29.03% | 35 | 10 | 71.43% | 1 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 | |
7 | Xpress | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 0 | 0 | 1 | 0 | 0 | 4 | 5 | -1 | 1 | 0.500 | 4 | 8 | 12 | 0 | 0 | 8 | 10 | 21 | 0 | 27 | 58 | 90 | 126 | 0 | 34 | 7 | 8 | 15 | 1 | 0 | 0.00% | 4 | 3 | 25.00% | 0 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
_Since Last GM Reset | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 39 | 42 | -3 | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 18 | 1 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 24 | -4 | 12 | 0.545 | 39 | 72 | 111 | 0 | 0 | 8 | 10 | 21 | 0 | 274 | 58 | 90 | 126 | 0 | 264 | 91 | 110 | 151 | 31 | 9 | 29.03% | 35 | 10 | 71.43% | 1 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 | |
_Vs Conference | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 39 | 42 | -3 | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 18 | 1 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 24 | -4 | 12 | 0.545 | 39 | 72 | 111 | 0 | 0 | 8 | 10 | 21 | 0 | 274 | 58 | 90 | 126 | 0 | 264 | 91 | 110 | 151 | 31 | 9 | 29.03% | 35 | 10 | 71.43% | 1 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 | |
_Vs Division | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 39 | 42 | -3 | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 18 | 1 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 24 | -4 | 12 | 0.545 | 39 | 72 | 111 | 0 | 0 | 8 | 10 | 21 | 0 | 274 | 58 | 90 | 126 | 0 | 264 | 91 | 110 | 151 | 31 | 9 | 29.03% | 35 | 10 | 71.43% | 1 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
11 | 12 | OTL1 | 39 | 72 | 111 | 274 | 264 | 91 | 110 | 151 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
11 | 5 | 4 | 0 | 2 | 0 | 0 | 39 | 42 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
6 | 3 | 2 | 0 | 1 | 0 | 0 | 19 | 18 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
5 | 2 | 2 | 0 | 1 | 0 | 0 | 20 | 24 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
4 | 4 | 0 | 2 | 0 | 0 |
Power Play Attemps | Power Play Goals | Power Play % | Penalty Kill Attemps | Penalty Kill Goals Against | Penalty Kill % | Penalty Kill Goals For |
---|---|---|---|---|---|---|
31 | 9 | 29.03% | 35 | 10 | 71.43% | 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 |
---|---|---|---|---|---|---|---|
58 | 90 | 126 | 0 | 8 | 10 | 21 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
302 | 225 | 211 | 76 | 149 | 72 |
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 - 2024-04-06 | 4 | Hunters | 4 | Igloos | 5 | W | BoxScore | |||
3 - 2024-04-08 | 23 | Igloos | 0 | Hunters | 6 | L | BoxScore | |||
4 - 2024-04-09 | 36 | Husky | 4 | Igloos | 3 | L | X | BoxScore | ||
7 - 2024-04-12 | 68 | Goons | 1 | Igloos | 4 | W | BoxScore | |||
9 - 2024-04-14 | 91 | Igloos | 7 | Goons | 5 | W | BoxScore | |||
10 - 2024-04-15 | 97 | Hunters | 1 | Igloos | 3 | W | BoxScore | |||
11 - 2024-04-16 | 113 | Igloos | 4 | Hunters | 5 | L | BoxScore | |||
12 - 2024-04-17 | 126 | Igloos | 5 | CoolFm | 3 | W | BoxScore | |||
13 - 2024-04-18 | 139 | CoolFm | 4 | Igloos | 1 | L | BoxScore | |||
15 - 2024-04-20 | 158 | Bandits | 4 | Igloos | 3 | L | BoxScore | |||
16 - 2024-04-21 | 169 | Igloos | 4 | Xpress | 5 | L | X | BoxScore | ||
18 - 2024-04-23 | 189 | Husky | - | Igloos | - | |||||
20 - 2024-04-25 | 207 | Igloos | - | Husky | - | |||||
21 - 2024-04-26 | 222 | Marlies | - | Igloos | - | |||||
23 - 2024-04-28 | 240 | Igloos | - | Raptors | - | |||||
24 - 2024-04-29 | 251 | Smirnoff Ice | - | Igloos | - | |||||
26 - 2024-05-01 | 271 | Igloos | - | Scorpions | - | |||||
27 - 2024-05-02 | 283 | Chiwawa | - | Igloos | - | |||||
28 - 2024-05-03 | 298 | Igloos | - | Vandals | - | |||||
30 - 2024-05-05 | 315 | Goons | - | Igloos | - | |||||
31 - 2024-05-06 | 324 | Igloos | - | Bandits | - | |||||
32 - 2024-05-07 | 344 | Barracudas | - | Igloos | - | |||||
34 - 2024-05-09 | 362 | Igloos | - | TigersCats | - | |||||
35 - 2024-05-10 | 374 | Igloos | - | Xpress | - | |||||
36 - 2024-05-11 | 385 | Bayou | - | Igloos | - | |||||
38 - 2024-05-13 | 402 | Igloos | - | Bayou | - | |||||
39 - 2024-05-14 | 416 | Bandits | - | Igloos | - | |||||
42 - 2024-05-17 | 439 | Rockets | - | Igloos | - | |||||
43 - 2024-05-18 | 454 | Igloos | - | Rockets | - | |||||
44 - 2024-05-19 | 469 | Husky | - | Igloos | - | |||||
46 - 2024-05-21 | 486 | Igloos | - | Twins | - | |||||
47 - 2024-05-22 | 498 | TigersCats | - | Igloos | - | |||||
48 - 2024-05-23 | 518 | Igloos | - | Thugs | - | |||||
49 - 2024-05-24 | 528 | Igloos | - | Snowbirds | - | |||||
50 - 2024-05-25 | 539 | Igloos | - | Bandits | - | |||||
51 - 2024-05-26 | 550 | Snowbirds | - | Igloos | - | |||||
53 - 2024-05-28 | 570 | CoolFm | - | Igloos | - | |||||
55 - 2024-05-30 | 591 | Grizzlies | - | Igloos | - | |||||
58 - 2024-06-02 | 612 | Igloos | - | Farmers | - | |||||
59 - 2024-06-03 | 623 | Igloos | - | Outlaws | - | |||||
60 - 2024-06-04 | 632 | Twins | - | Igloos | - | |||||
62 - 2024-06-06 | 654 | Igloos | - | Supreme | - | |||||
63 - 2024-06-07 | 667 | Marmots | - | Igloos | - | |||||
64 - 2024-06-08 | 682 | Igloos | - | Vipers | - | |||||
65 - 2024-06-09 | 696 | Igloos | - | Barracudas | - | |||||
66 - 2024-06-10 | 706 | Outlaws | - | Igloos | - | |||||
68 - 2024-06-12 | 726 | Saguenéens | - | Igloos | - | |||||
70 - 2024-06-14 | 748 | Igloos | - | Wolves | - | |||||
71 - 2024-06-15 | 756 | Hunters | - | Igloos | - | |||||
72 - 2024-06-16 | 779 | Igloos | - | Saguenéens | - | |||||
73 - 2024-06-17 | 787 | Vipers | - | Igloos | - | |||||
75 - 2024-06-19 | 812 | Raptors | - | Igloos | - | |||||
76 - 2024-06-20 | 824 | Igloos | - | Smirnoff Ice | - | |||||
77 - 2024-06-21 | 837 | Igloos | - | Chiwawa | - | |||||
78 - 2024-06-22 | 851 | Vandals | - | Igloos | - | |||||
79 - 2024-06-23 | 861 | Igloos | - | Warriors | - | |||||
81 - 2024-06-25 | 882 | Xpress | - | Igloos | - | |||||
83 - 2024-06-27 | 902 | Warriors | - | Igloos | - | |||||
85 - 2024-06-29 | 918 | Igloos | - | Hunters | - | |||||
86 - 2024-06-30 | 928 | Igloos | - | Grizzlies | - | |||||
88 - 2024-07-02 | 945 | Wolves | - | Igloos | - | |||||
89 - 2024-07-03 | 956 | Igloos | - | Marlies | - | |||||
Trade Deadline --- Trades can’t be done after this day is simulated! | ||||||||||
90 - 2024-07-04 | 971 | Farmers | - | Igloos | - | |||||
92 - 2024-07-06 | 991 | Igloos | - | Marmots | - | |||||
93 - 2024-07-07 | 1005 | Xpress | - | Igloos | - | |||||
94 - 2024-07-08 | 1017 | Igloos | - | CoolFm | - | |||||
95 - 2024-07-09 | 1031 | Thugs | - | Igloos | - | |||||
97 - 2024-07-11 | 1050 | Igloos | - | Marlies | - | |||||
99 - 2024-07-13 | 1068 | Igloos | - | Goons | - | |||||
100 - 2024-07-14 | 1077 | Predateurs | - | Igloos | - | |||||
103 - 2024-07-17 | 1096 | Scorpions | - | Igloos | - | |||||
104 - 2024-07-18 | 1104 | Igloos | - | Predateurs | - | |||||
105 - 2024-07-19 | 1116 | Igloos | - | Husky | - | |||||
107 - 2024-07-21 | 1138 | Spartans | - | Igloos | - | |||||
110 - 2024-07-24 | 1160 | Igloos | - | Spartans | - | |||||
112 - 2024-07-26 | 1174 | Supreme | - | Igloos | - |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Arena Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
Attendance | 11,874 | 5,964 |
Attendance PCT | 98.95% | 99.40% |
Income | |||||
---|---|---|---|---|---|
Home Games Left | Average Attendance - % | Average Income per Game | Year to Date Revenue | Arena Capacity | Team Popularity |
32 | 2973 - 99.10% | 101,010$ | 606,060$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
371,180$ | 1,472,500$ | 1,472,500$ | 0$ |
Salary Cap Per Days | Salary Cap To Date | Players In Salary Cap | Players Out of Salary Cap |
---|---|---|---|
0$ | 219,935$ | 0 | 0 |
Estimate | |||
---|---|---|---|
Estimated Season Revenue | Remaining Season Days | Expenses Per Days | Estimated Season Expenses |
3,232,320$ | 96 | 21,881$ | 2,100,576$ |
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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
45 | 82 | 24 | 35 | 0 | 6 | 9 | 3 | 5 | 235 | 281 | -46 | 41 | 10 | 19 | 0 | 3 | 4 | 1 | 4 | 116 | 143 | -27 | 41 | 14 | 16 | 0 | 3 | 5 | 2 | 1 | 119 | 138 | -19 | 80 | 235 | 443 | 678 | 2 | 1 | 54 | 77 | 95 | 11 | 1727 | 406 | 593 | 703 | 50 | 2044 | 689 | 791 | 972 | 226 | 37 | 16.37% | 248 | 71 | 71.37% | 7 | 628 | 1209 | 51.94% | 713 | 1384 | 51.52% | 643 | 1274 | 50.47% | 2267 | 1696 | 1635 | 563 | 1084 | 535 |
46 | 82 | 27 | 37 | 0 | 8 | 5 | 1 | 4 | 237 | 272 | -35 | 41 | 12 | 18 | 0 | 6 | 1 | 1 | 3 | 116 | 126 | -10 | 41 | 15 | 19 | 0 | 2 | 4 | 0 | 1 | 121 | 146 | -25 | 81 | 237 | 439 | 676 | 1 | 2 | 46 | 90 | 92 | 13 | 1802 | 463 | 635 | 686 | 34 | 1945 | 632 | 1079 | 1042 | 250 | 42 | 16.80% | 289 | 83 | 71.28% | 6 | 670 | 1331 | 50.34% | 696 | 1362 | 51.10% | 615 | 1244 | 49.44% | 2432 | 1816 | 1425 | 575 | 1113 | 559 |
47 | 11 | 5 | 4 | 0 | 0 | 2 | 0 | 0 | 39 | 42 | -3 | 6 | 3 | 2 | 0 | 0 | 1 | 0 | 0 | 19 | 18 | 1 | 5 | 2 | 2 | 0 | 0 | 1 | 0 | 0 | 20 | 24 | -4 | 12 | 39 | 72 | 111 | 0 | 0 | 8 | 10 | 21 | 0 | 274 | 58 | 90 | 126 | 0 | 264 | 91 | 110 | 151 | 31 | 9 | 29.03% | 35 | 10 | 71.43% | 1 | 86 | 174 | 49.43% | 93 | 188 | 49.47% | 89 | 192 | 46.35% | 302 | 225 | 211 | 76 | 149 | 72 |
Total Regular Season | 175 | 56 | 76 | 0 | 14 | 16 | 4 | 9 | 511 | 595 | -84 | 88 | 25 | 39 | 0 | 9 | 6 | 2 | 7 | 251 | 287 | -36 | 87 | 31 | 37 | 0 | 5 | 10 | 2 | 2 | 260 | 308 | -48 | 173 | 511 | 954 | 1465 | 3 | 3 | 108 | 177 | 208 | 24 | 3803 | 927 | 1318 | 1515 | 84 | 4253 | 1412 | 1980 | 2165 | 507 | 88 | 17.36% | 572 | 164 | 71.33% | 14 | 1384 | 2714 | 50.99% | 1502 | 2934 | 51.19% | 1347 | 2710 | 49.70% | 5002 | 3739 | 3272 | 1215 | 2346 | 1167 |