Monster | |
GP: 4 | W: 0 | L: 4 GF: 23 | GA: 37 | PP%: 50.00% | PK%: 22.22% GM : Daniel Clément | Morale : 18 | Team Overall : 70 |
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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 | Kyle Okposo | X | 100.00 | 75 | 68 | 99 | 85 | 88 | 79 | 60 | 73 | 66 | 79 | 67 | 76 | 50 | 85 | 85 | 0 | 70 | 73 | 0 | 34 | 3 | 1,097,000$ | ||||
2 | Nick Bjugstad | X | X | 100.00 | 79 | 72 | 91 | 81 | 88 | 77 | 69 | 75 | 64 | 76 | 73 | 75 | 58 | 77 | 78 | 0 | 66 | 72 | 0 | 29 | 1 | 1,087,000$ | |||
3 | Riley Sheahan | X | 100.00 | 64 | 69 | 96 | 79 | 88 | 79 | 81 | 69 | 75 | 70 | 68 | 78 | 51 | 80 | 79 | 0 | 67 | 72 | 0 | 30 | 1 | 900,000$ | ||||
4 | Wayne Simmonds | X | X | 100.00 | 88 | 85 | 75 | 88 | 85 | 77 | 62 | 71 | 60 | 65 | 76 | 70 | 57 | 89 | 86 | 0 | 56 | 71 | 0 | 33 | 1 | 1,100,000$ | |||
5 | Mitchell Stephens (R) | X | 100.00 | 80 | 56 | 99 | 88 | 80 | 75 | 35 | 64 | 72 | 65 | 62 | 71 | 50 | 68 | 66 | 0 | 65 | 67 | 0 | 25 | 2 | 925,000$ | ||||
6 | Matt Roy | X | 100.00 | 84 | 64 | 96 | 82 | 86 | 85 | 73 | 69 | 50 | 70 | 68 | 76 | 51 | 69 | 71 | 0 | 61 | 73 | 0 | 27 | 1 | 1,300,000$ | ||||
7 | Jordan Oesterle | X | 100.00 | 79 | 61 | 95 | 83 | 77 | 83 | 71 | 70 | 50 | 74 | 66 | 70 | 50 | 72 | 74 | 0 | 69 | 71 | 0 | 30 | 1 | 1,400,000$ | ||||
8 | Jake Bean (R) | X | 100.00 | 68 | 55 | 94 | 87 | 76 | 80 | 68 | 71 | 50 | 76 | 66 | 64 | 50 | 68 | 69 | 0 | 68 | 70 | 0 | 24 | 1 | 1,425,000$ | ||||
9 | Trevor Van Riemsdyk | X | 100.00 | 72 | 64 | 97 | 82 | 78 | 83 | 43 | 67 | 50 | 65 | 68 | 75 | 51 | 76 | 76 | 0 | 64 | 69 | 0 | 30 | 1 | 2,300,000$ | ||||
10 | Markus Nutivaara | X | 100.00 | 81 | 62 | 91 | 85 | 78 | 81 | 54 | 71 | 50 | 79 | 62 | 65 | 50 | 73 | 75 | 0 | 54 | 69 | 0 | 28 | 2 | 1,400,000$ | ||||
11 | Oliver Kylington (R) | X | 100.00 | 68 | 55 | 99 | 92 | 77 | 79 | 35 | 65 | 50 | 65 | 64 | 60 | 50 | 68 | 67 | 0 | 67 | 66 | 0 | 25 | 1 | 925,000$ | ||||
Scratches | |||||||||||||||||||||||||||||
1 | Dean Kukan | X | 100.00 | 78 | 61 | 94 | 86 | 77 | 80 | 60 | 67 | 50 | 67 | 66 | 65 | 50 | 70 | 69 | 0 | 60 | 68 | 0 | 28 | 1 | 1,650,000$ | ||||
TEAM AVERAGE | 100.00 | 76 | 64 | 94 | 85 | 82 | 80 | 59 | 69 | 57 | 71 | 67 | 70 | 52 | 75 | 75 | 0 | 64 | 70 |
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 | |||||||||||||||||||||||
TEAM AVERAGE | 0.00 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Coaches Name | PH | DF | OF | PD | EX | LD | PO | CNT | Age | Contract | Salary |
---|---|---|---|---|---|---|---|---|---|---|---|
Dallas Eakins | 75 | 77 | 70 | 87 | 73 | 62 | 99 | USA | 53 | 3 | 605,000$ |
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 | Jordan Oesterle | Monster (BJT) | D | 4 | 1 | 6 | 7 | 1 | 0 | 0 | 1 | 2 | 21 | 6 | 6 | 4.76% | 8 | 63 | 15.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1 | 11 | 0 | 0 | 2.19 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
2 | Dean Kukan | Monster (BJT) | D | 2 | 0 | 3 | 3 | 0 | 0 | 0 | 0 | 1 | 5 | 1 | 5 | 0.00% | 1 | 22 | 11.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 1 | 1 | 0 | 0 | 2.65 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 |
Team Total or Average | 6 | 1 | 9 | 10 | 1 | 0 | 0 | 1 | 3 | 26 | 7 | 11 | 3.85% | 9 | 86 | 14.42 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 3 | 2 | 12 | 0 | 0 | 2.31 | 0 | 0 | 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 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
Team Total or Average | 0.000 | 0.00 | 0 | 0.000 |
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 | 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 |
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Dean Kukan | Monster (BJT) | D | 28 | 1993-07-08 16:27:48 | No | 186 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,650,000$ | 0$ | 0$ | No | Link | ||||||||||
Jake Bean | Monster (BJT) | D | 24 | 1998-06-09 15:02:26 | Yes | 186 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,425,000$ | 0$ | 0$ | No | Link | ||||||||||
Jordan Oesterle | Monster (BJT) | D | 30 | 1992-06-25 14:57:16 | No | 182 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 1,400,000$ | 0$ | 0$ | No | Link | ||||||||||
Kyle Okposo | Monster (BJT) | RW | 34 | 1988-04-16 15:26:19 | No | 220 Lbs | 6 ft0 | No | No | No | 3 | Pro & Farm | 1,097,000$ | 0$ | 0$ | No | 1,097,000$ | 1,097,000$ | Link | ||||||||
Markus Nutivaara | Monster (BJT) | D | 28 | 1994-06-06 03:26:19 | No | 191 Lbs | 6 ft1 | No | No | No | 2 | Pro & Farm | 1,400,000$ | 0$ | 0$ | No | 1,400,000$ | Link | |||||||||
Matt Roy | Monster (BJT) | D | 27 | 1995-03-01 11:07:09 | No | 200 Lbs | 6 ft1 | No | No | No | 1 | Pro & Farm | 1,300,000$ | 0$ | 0$ | No | Link | ||||||||||
Mitchell Stephens | Monster (BJT) | C | 25 | 1997-02-05 09:37:07 | Yes | 193 Lbs | 5 ft11 | No | No | No | 2 | Pro & Farm | 925,000$ | 0$ | 0$ | No | 925,000$ | Link | |||||||||
Nick Bjugstad | Monster (BJT) | C/RW | 29 | 1992-07-17 15:26:19 | No | 218 Lbs | 6 ft6 | No | No | No | 1 | Pro & Farm | 1,087,000$ | 0$ | 0$ | No | Link | ||||||||||
Oliver Kylington | Monster (BJT) | D | 25 | 1997-05-19 09:52:37 | Yes | 183 Lbs | 6 ft0 | No | No | No | 1 | Pro & Farm | 925,000$ | 0$ | 0$ | No | Link | ||||||||||
Riley Sheahan | Monster (BJT) | C | 30 | 1991-12-07 09:26:19 | No | 222 Lbs | 6 ft3 | No | No | No | 1 | Pro & Farm | 900,000$ | 0$ | 0$ | No | Link | ||||||||||
Trevor Van Riemsdyk | Monster (BJT) | D | 30 | 1991-07-24 09:26:19 | No | 188 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 2,300,000$ | 0$ | 0$ | No | Link | ||||||||||
Wayne Simmonds | Monster (BJT) | LW/RW | 33 | 1988-08-26 15:26:19 | No | 185 Lbs | 6 ft2 | No | No | No | 1 | Pro & Farm | 1,100,000$ | 0$ | 0$ | No | Link |
Total Players | Average Age | Average Weight | Average Height | Average Contract | Average Year 1 Salary |
---|---|---|---|---|---|
12 | 28.58 | 196 Lbs | 6 ft1 | 1.33 | 1,292,417$ |
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 | Jordan Oesterle | 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 | Jordan Oesterle | 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 | Jordan Oesterle | 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 | Jordan Oesterle | 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 | Jordan Oesterle | 40 | 1 | 2 | 2 |
Last Minutes Offensive | ||||
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Left Wing | Center | Right Wing | Defense | Defense |
Last Minutes Defensive | ||||
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Left Wing | Center | Right Wing | Defense | Defense |
Extra Forwards | ||
---|---|---|
Normal | PowerPlay | Penalty Kill |
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Extra Defensemen | ||
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Normal | PowerPlay | Penalty Kill |
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Penalty Shots |
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, , , , |
Goalie |
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#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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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# | 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 | Sharks | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 37 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 0 | 0.000 | 23 | 45 | 68 | 0 | 0 | 9 | 10 | 4 | 0 | 118 | 41 | 51 | 26 | 0 | 202 | 54 | 41 | 47 | 8 | 4 | 50.00% | 18 | 14 | 22.22% | 1 | 16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% | 72 | 45 | 107 | 33 | 60 | 26 |
Total | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 37 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 0 | 0.000 | 23 | 45 | 68 | 0 | 0 | 9 | 10 | 4 | 0 | 118 | 41 | 51 | 26 | 0 | 202 | 54 | 41 | 47 | 8 | 4 | 50.00% | 18 | 14 | 22.22% | 1 | 16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% | 72 | 45 | 107 | 33 | 60 | 26 | |
_Since Last GM Reset | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 37 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 0 | 0.000 | 23 | 45 | 68 | 0 | 0 | 9 | 10 | 4 | 0 | 118 | 41 | 51 | 26 | 0 | 202 | 54 | 41 | 47 | 8 | 4 | 50.00% | 18 | 14 | 22.22% | 1 | 16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% | 72 | 45 | 107 | 33 | 60 | 26 | |
_Vs Conference | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 37 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 0 | 0.000 | 23 | 45 | 68 | 0 | 0 | 9 | 10 | 4 | 0 | 118 | 41 | 51 | 26 | 0 | 202 | 54 | 41 | 47 | 8 | 4 | 50.00% | 18 | 14 | 22.22% | 1 | 16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% | 72 | 45 | 107 | 33 | 60 | 26 | |
_Vs Division | 4 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 23 | 37 | -14 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 0 | 0.000 | 23 | 45 | 68 | 0 | 0 | 9 | 10 | 4 | 0 | 118 | 41 | 51 | 26 | 0 | 202 | 54 | 41 | 47 | 8 | 4 | 50.00% | 18 | 14 | 22.22% | 1 | 16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% | 72 | 45 | 107 | 33 | 60 | 26 |
Total For Players | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|
Games Played | Points | Streak | Goals | Assists | Points | Shots For | Shots Against | Shots Blocked | Penalty Minutes | Hits | Empty Net Goals | Shutouts |
4 | 0 | L4 | 23 | 45 | 68 | 118 | 202 | 54 | 41 | 47 | 0 | 0 |
All Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
4 | 0 | 4 | 0 | 0 | 0 | 0 | 23 | 37 |
Home Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 11 | 18 |
Visitor Games | ||||||||
---|---|---|---|---|---|---|---|---|
GP | W | L | OTW | OTL | SOW | SOL | GF | GA |
2 | 0 | 2 | 0 | 0 | 0 | 0 | 12 | 19 |
Last 10 Games | |||||
---|---|---|---|---|---|
W | L | OTW | OTL | SOW | SOL |
0 | 4 | 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 |
---|---|---|---|---|---|---|
8 | 4 | 50.00% | 18 | 14 | 22.22% | 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 |
---|---|---|---|---|---|---|---|
41 | 51 | 26 | 0 | 9 | 10 | 4 | 0 |
Face Offs | ||||||||
---|---|---|---|---|---|---|---|---|
Won Offensive Zone | Total Offensive | Won Offensive % | Won Defensif Zone | Total Defensive | Won Defensive % | Won Neutral Zone | Total Neutral | Won Neutral % |
16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% |
Puck Time | |||||
---|---|---|---|---|---|
In Offensive Zone | Control In Offensive Zone | In Defensive Zone | Control In Defensive Zone | In Neutral Zone | Control In Neutral Zone |
72 | 45 | 107 | 33 | 60 | 26 |
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 - 2022-02-07 | 6 | Monster | 7 | Sharks | 9 | AL | BoxScore | |||
4 - 2022-02-09 | 14 | Monster | 5 | Sharks | 10 | AL | BoxScore | |||
6 - 2022-02-11 | 22 | Sharks | 13 | Monster | 7 | BL | BoxScore | |||
8 - 2022-02-13 | 30 | Sharks | 5 | Monster | 4 | BL | BoxScore |
Arena Capacity - Ticket Price Attendance - % | ||
---|---|---|
Level 1 | Level 2 | |
Capacity | 2000 | 1000 |
Ticket Price | 35 | 15 |
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 |
39 | 0 - 0.00% | 0$ | 0$ | 3000 | 100 |
Expenses | |||
---|---|---|---|
Year To Date Expenses | Players Total Salaries | Players Total Average Salaries | Coaches Salaries |
0$ | 1,550,900$ | 1,550,900$ | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Wayne Simmonds | 75 | 101 | 101 | 202 | 11 | 107 | 122 | 72 | 580 | 17.41% | 34 | 1462 | 19.51 | 36 | 35 | 71 | 67 | 0 | 0 | 0 | 0 | 6 | 2 | 58.72% | 13 | 2.76 | 0 | 0 |
2 | Riley Sheahan | 118 | 73 | 109 | 182 | 71 | 7 | 45 | 124 | 582 | 12.54% | 40 | 1560 | 13.22 | 10 | 14 | 24 | 15 | 0 | 0 | 0 | 3 | 10 | 1 | 69.75% | 2 | 2.33 | 0 | 0 |
3 | Dean Kukan | 82 | 66 | 98 | 164 | 42 | 24 | 72 | 62 | 514 | 12.84% | 39 | 1496 | 18.24 | 19 | 21 | 40 | 49 | 0 | 0 | 0 | 0 | 3 | 2 | 63.64% | 6 | 2.19 | 0 | 0 |
4 | Garnet Hathaway | 68 | 61 | 55 | 116 | 23 | 60 | 112 | 42 | 350 | 17.43% | 37 | 1018 | 14.99 | 4 | 2 | 6 | 6 | 0 | 0 | 0 | 0 | 3 | 2 | 55.56% | 4 | 2.28 | 0 | 0 |
5 | Kyle Okposo | 38 | 50 | 65 | 115 | 15 | 10 | 60 | 36 | 294 | 17.01% | 20 | 826 | 21.76 | 13 | 19 | 32 | 20 | 1 | 1 | 2 | 3 | 7 | 1 | 65.07% | 3 | 2.78 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
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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 | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2019 | 82 | 24 | 45 | 0 | 8 | 5 | 0 | 0 | 336 | 462 | -126 | 41 | 17 | 18 | 0 | 4 | 2 | 0 | 0 | 184 | 218 | -34 | 41 | 7 | 27 | 0 | 4 | 3 | 0 | 0 | 152 | 244 | -92 | 48 | 336 | 623 | 959 | 1 | 0 | 46 | 129 | 153 | 8 | 1745 | 451 | 586 | 692 | 16 | 2527 | 763 | 583 | 1220 | 222 | 100 | 45.05% | 282 | 145 | 48.58% | 14 | 472 | 1035 | 45.60% | 504 | 1199 | 42.04% | 797 | 1823 | 43.72% | 1569 | 837 | 1919 | 802 | 1445 | 678 |
2019 | 82 | 68 | 11 | 0 | 1 | 1 | 1 | 0 | 602 | 225 | 377 | 41 | 37 | 4 | 0 | 0 | 0 | 0 | 0 | 300 | 110 | 190 | 41 | 31 | 7 | 0 | 1 | 1 | 1 | 0 | 302 | 115 | 187 | 136 | 602 | 997 | 1599 | 0 | 1 | 133 | 237 | 230 | 2 | 3205 | 1034 | 1130 | 1039 | 5 | 2285 | 724 | 619 | 1197 | 350 | 199 | 56.86% | 236 | 73 | 69.07% | 12 | 1011 | 1455 | 69.48% | 1033 | 1555 | 66.43% | 1215 | 1782 | 68.18% | 2002 | 1242 | 1561 | 663 | 1361 | 742 |
2020 | 82 | 28 | 44 | 0 | 5 | 3 | 0 | 2 | 463 | 538 | -75 | 41 | 14 | 20 | 0 | 4 | 2 | 0 | 1 | 243 | 261 | -18 | 41 | 14 | 24 | 0 | 1 | 1 | 0 | 1 | 220 | 277 | -57 | 71 | 463 | 818 | 1281 | 0 | 0 | 133 | 161 | 164 | 6 | 3044 | 1064 | 1035 | 935 | 16 | 2850 | 898 | 630 | 1173 | 264 | 86 | 32.58% | 255 | 152 | 40.39% | 8 | 629 | 1411 | 44.58% | 491 | 1145 | 42.88% | 892 | 1902 | 46.90% | 1869 | 1196 | 1758 | 697 | 1312 | 643 |
2021 | 82 | 35 | 39 | 0 | 5 | 3 | 0 | 0 | 499 | 509 | -10 | 41 | 20 | 17 | 0 | 4 | 0 | 0 | 0 | 266 | 258 | 8 | 41 | 15 | 22 | 0 | 1 | 3 | 0 | 0 | 233 | 251 | -18 | 83 | 499 | 883 | 1382 | 1 | 0 | 93 | 198 | 203 | 5 | 3164 | 1037 | 1011 | 1110 | 6 | 2707 | 874 | 666 | 1189 | 270 | 131 | 48.52% | 273 | 161 | 41.03% | 4 | 728 | 1513 | 48.12% | 538 | 1235 | 43.56% | 865 | 1946 | 44.45% | 1832 | 1154 | 1748 | 707 | 1346 | 651 |
Total Regular Season | 328 | 155 | 139 | 0 | 19 | 12 | 1 | 2 | 1900 | 1734 | 166 | 164 | 88 | 59 | 0 | 12 | 4 | 0 | 1 | 993 | 847 | 146 | 164 | 67 | 80 | 0 | 7 | 8 | 1 | 1 | 907 | 887 | 20 | 338 | 1900 | 3321 | 5221 | 2 | 1 | 405 | 725 | 750 | 21 | 11158 | 3586 | 3762 | 3776 | 43 | 10369 | 3259 | 2498 | 4779 | 1106 | 516 | 46.65% | 1046 | 531 | 49.24% | 38 | 2840 | 5414 | 52.46% | 2566 | 5134 | 49.98% | 3769 | 7453 | 50.57% | 7274 | 4430 | 6988 | 2870 | 5466 | 2716 |
Playoff | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
2020 | 6 | 2 | 4 | 0 | 0 | 0 | 0 | 0 | 27 | 32 | -5 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 18 | 20 | -2 | 3 | 1 | 2 | 0 | 0 | 0 | 0 | 0 | 9 | 12 | -3 | 4 | 27 | 53 | 80 | 0 | 0 | 3 | 12 | 12 | 0 | 181 | 54 | 61 | 66 | 0 | 204 | 78 | 28 | 87 | 15 | 4 | 26.67% | 14 | 8 | 42.86% | 0 | 38 | 64 | 59.38% | 44 | 78 | 56.41% | 75 | 134 | 55.97% | 121 | 73 | 144 | 55 | 97 | 47 |
2021 | 4 | 0 | 4 | 0 | 0 | 0 | 0 | 0 | 23 | 37 | -14 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 11 | 18 | -7 | 2 | 0 | 2 | 0 | 0 | 0 | 0 | 0 | 12 | 19 | -7 | 0 | 23 | 45 | 68 | 0 | 0 | 9 | 10 | 4 | 0 | 118 | 41 | 51 | 26 | 0 | 202 | 54 | 41 | 47 | 8 | 4 | 50.00% | 18 | 14 | 22.22% | 1 | 16 | 39 | 41.03% | 30 | 81 | 37.04% | 37 | 98 | 37.76% | 72 | 45 | 107 | 33 | 60 | 26 |
Total Playoff | 10 | 2 | 8 | 0 | 0 | 0 | 0 | 0 | 50 | 69 | -19 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 29 | 38 | -9 | 5 | 1 | 4 | 0 | 0 | 0 | 0 | 0 | 21 | 31 | -10 | 4 | 50 | 98 | 148 | 0 | 0 | 12 | 22 | 16 | 0 | 299 | 95 | 112 | 92 | 0 | 406 | 132 | 69 | 134 | 23 | 8 | 34.78% | 32 | 22 | 31.25% | 1 | 54 | 103 | 52.43% | 74 | 159 | 46.54% | 112 | 232 | 48.28% | 194 | 118 | 251 | 88 | 157 | 73 |
# | 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 |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Riley Sheahan | 6 | 4 | 4 | 8 | 2 | 0 | 2 | 6 | 22 | 18.18% | 5 | 70 | 11.74 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 0 | 78.57% | 0 | 2.27 | 0 | 0 |
2 | Nick Bjugstad | 6 | 1 | 6 | 7 | 1 | 0 | 5 | 1 | 25 | 4.00% | 4 | 64 | 10.68 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 50.00% | 0 | 2.19 | 0 | 0 |
3 | Jordan Oesterle | 4 | 1 | 6 | 7 | 1 | 0 | 1 | 2 | 21 | 4.76% | 8 | 63 | 15.97 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 2.19 | 0 | 0 |
4 | Mathieu Joseph | 6 | 1 | 3 | 4 | 3 | 2 | 2 | 1 | 20 | 5.00% | 5 | 77 | 12.95 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0.00% | 0 | 1.03 | 0 | 0 |
5 | Dean Kukan | 2 | 0 | 3 | 3 | 0 | 0 | 0 | 1 | 5 | 0.00% | 1 | 22 | 11.33 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 33.33% | 0 | 2.65 | 0 | 0 |
# | Goalie Name | GP | W | L | OTL | PCT | GAA | MP | PIM | SO | GA | SA | SAR | A | EG | PS % | PSA |
---|