Wolves

GP: 30 | W: 20 | L: 10 | OTL: 0 | P: 40
GF: 131 | GA: 56 | PP%: 12.87% | PK%: 84.35%
GM : James | Morale : 50 | Team Overall : 61
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Filter Tips
PriorityTypeDescription
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
10textAny 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
1Nolan PatrickX100.007554888074709071867071647557587250690
2Drake BathersonXX100.008775837771709076547564572547476950670
3Dryden HuntXX100.008345697271568662256555704558586450630
4Morgan GeekieX100.006967736267788264805966626344446650620
5Dominic TurgeonXX100.008073976373808756705056675353536250610
6Jake EvansXX100.007743996268568357675868672545456750610
7Nicholas BaptisteX100.008075906475677151504948644645455750570
8Liam Foudy (R)XXX100.005151555555555555555555555555555550540
9Henri JokiharjuX100.007643868267718461255248752557576350670
10Juuso Valimaki (R)X100.007343857875686255254848732546466050630
11Gustav Lindstrom (R)X100.007744757270706861254547742545455950630
12Joel HanleyX100.007770937270727849254339643753545450610
13John GilmourX100.007871947471707553253951644847475950610
14Colton WhiteX100.007669916669738049254239643755555450610
15Daniel BrickleyX100.008077865677505246253739633744445050550
Scratches
TEAM AVERAGE100.00766084697067765844525366415050615062
Filter Tips
PriorityTypeDescription
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
10textAny 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
1Adam Werner (R)100.00575974735961516058573044445750580
Scratches
TEAM AVERAGE100.0057597473596151605857304444575058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeremy Colilton57578891655268CAN351600,000$


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP 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
1Morgan GeekieWolves (VGK)C30191837252004646133359514.29%351417.141017171121384070.57%36700011.4400000334
2Henri JokiharjuWolves (VGK)D305313627180402438162913.16%2067422.472461782000184020.00%000001.0700000023
3Juuso ValimakiWolves (VGK)D307293630100462442103816.67%1563221.08257188102207910100.00%100001.1400000321
4Dryden HuntWolves (VGK)LW/RW3011213223140893773237615.07%963421.142359760002742161.22%4900001.0111000232
5Dominic TurgeonWolves (VGK)C/LW3017133028215292380206021.25%762820.9533611830001572073.77%6100020.9500010211
6Lias AnderssonGolden KnightsC/LW27131730271002457103218512.62%552419.4301111591122372065.41%42500001.1411000132
7Drake BathersonWolves (VGK)C/RW16131326233715243563162820.63%033420.891122442022461162.25%30200001.5600111231
8Jake EvansWolves (VGK)C/RW30168242860132096326816.67%155918.640221880000062082.50%4000010.8600000101
9Liam FoudyWolves (VGK)C/LW/RW30911202440131853183516.98%251517.190002310112331064.20%8100000.7800000201
10Gustav LindstromWolves (VGK)D30217192424058254710234.26%1564521.5113421830110801050.00%400000.5900000000
11Nicholas BaptisteWolves (VGK)RW3010818262604794194024.39%051817.28112671000002062.50%2400000.6900000011
12Joel HanleyWolves (VGK)D3001515222605615105190.00%2149216.4200039000034000.00%000000.6100000000
13Colton WhiteWolves (VGK)D30213153020045101751111.76%2162920.9700078411227300100.00%100000.4800000011
14John GilmourWolves (VGK)D30014141916054203115140.00%1048516.2000061900009000.00%000000.5800000001
15Nolan PatrickWolves (VGK)C3347600291751117.65%06923.09000213011070077.65%8500012.0200000100
16Daniel BrickleyWolves (VGK)D303252233546815101320.00%548016.000002170000211044.44%1800000.2100001000
Team Total or Average4361302343643842852563238085925064515.13%134833819.1213233614285558131368819467.08%145800050.8722122171919
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Adam WernerWolves (VGK)30201000.8801.71175806504170001.0002300001
Team Total or Average30201000.8801.71175806504170001.0002300001


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Adam WernerWolves (VGK)G251995-01-01Yes200 Lbs6 ft0NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Link / NHL Link
Colton WhiteWolves (VGK)D231997-05-03No185 Lbs6 ft1NoNoNo2Pro & Farm935,833$935,833$0$0$No935,833$Link / NHL Link
Daniel BrickleyWolves (VGK)D251995-03-30No205 Lbs6 ft3NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink / NHL Link
Dominic TurgeonWolves (VGK)C/LW241996-02-24No196 Lbs6 ft2NoNoNo1Pro & Farm919,167$919,167$0$0$NoLink / NHL Link
Drake BathersonWolves (VGK)C/RW221998-04-26No187 Lbs6 ft1NoNoNo2Pro & Farm773,333$773,333$0$0$No773,333$Link / NHL Link
Dryden HuntWolves (VGK)LW/RW241995-11-24No197 Lbs6 ft0NoNoNo1Pro & Farm925,000$925,000$0$0$NoLink / NHL Link
Gustav LindstromWolves (VGK)D221998-10-20Yes187 Lbs6 ft2NoNoNo3Pro & Farm925,000$925,000$0$0$No925,000$925,000$Link / NHL Link
Henri JokiharjuWolves (VGK)D211999-06-17No180 Lbs6 ft0NoNoNo2Pro & Farm1,279,166$1,279,166$0$0$No1,279,166$Link / NHL Link
Jake EvansWolves (VGK)C/RW241996-06-02No185 Lbs6 ft0NoNoNo3Pro & Farm1,350,000$1,350,000$0$0$No1,350,000$1,350,000$Link / NHL Link
Joel HanleyWolves (VGK)D291991-06-08No193 Lbs6 ft0NoNoNo1Pro & Farm900,000$900,000$0$0$NoLink / NHL Link
John GilmourWolves (VGK)D271993-05-17No195 Lbs6 ft0NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link / NHL Link
Juuso ValimakiWolves (VGK)D221998-10-06Yes204 Lbs6 ft2NoNoNo2Pro & Farm1,319,166$1,319,166$0$0$No1,319,166$Link
Liam FoudyWolves (VGK)C/LW/RW202000-02-04 5:33:01 AMYes182 Lbs6 ft2NoNoNo3Pro & Farm1,269,167$1,269,167$0$0$No1,269,167$1,269,167$
Morgan GeekieWolves (VGK)C221998-07-20No179 Lbs6 ft2NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$Link / NHL Link
Nicholas BaptisteWolves (VGK)RW251995-08-04No206 Lbs6 ft1NoNoNo1Pro & Farm800,000$800,000$0$0$NoLink
Nolan PatrickWolves (VGK)C221998-09-19No198 Lbs6 ft2NoNoNo1Pro & Farm3,575,000$3,575,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1623.56192 Lbs6 ft11.941,151,302$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dryden HuntNolan PatrickDrake Batherson40122
2Dominic TurgeonMorgan GeekieJake Evans30122
3Daniel BrickleyLiam FoudyNicholas Baptiste20122
4Drake BathersonNolan PatrickDryden Hunt10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henri JokiharjuGustav Lindstrom40122
2Juuso ValimakiColton White30122
3John GilmourJoel Hanley20122
4Daniel BrickleyHenri Jokiharju10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dryden HuntNolan PatrickDrake Batherson60122
2Dominic TurgeonMorgan GeekieJake Evans40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Henri JokiharjuGustav Lindstrom60122
2Juuso ValimakiColton White40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nolan PatrickDrake Batherson60122
2Dryden HuntMorgan Geekie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Henri JokiharjuGustav Lindstrom60122
2Juuso ValimakiColton White40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nolan Patrick60122Henri JokiharjuGustav Lindstrom60122
2Drake Batherson40122Juuso ValimakiColton White40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Nolan PatrickDrake Batherson60122
2Dryden HuntMorgan Geekie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Henri JokiharjuGustav Lindstrom60122
2Juuso ValimakiColton White40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dryden HuntNolan PatrickDrake BathersonHenri JokiharjuGustav Lindstrom
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dryden HuntNolan PatrickDrake BathersonHenri JokiharjuGustav Lindstrom
Extra Forwards
Normal PowerPlayPenalty Kill
Nicholas Baptiste, Liam Foudy, Jake EvansNicholas Baptiste, Liam FoudyJake Evans
Extra Defensemen
Normal PowerPlayPenalty Kill
John Gilmour, Joel Hanley, Daniel BrickleyJohn GilmourJoel Hanley, Daniel Brickley
Penalty Shots
Nolan Patrick, Drake Batherson, Dryden Hunt, Morgan Geekie, Jake Evans
Goalie
#1 : Adam Werner, #2 :


Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# 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 Americans2020000015-41010000014-31010000001-100.000112004948332302783202607441133361218.33%13192.31%050977365.85%31759153.64%27345460.13%989762475162340204
2Admirals2200000016016110000009091100000070741.0001628440249483329527832026071178398225.00%40100.00%050977365.85%31759153.64%27345460.13%989762475162340204
3Barracudas21100000440110000002111010000023-120.50048120049483323027832026074119253714321.43%9188.89%050977365.85%31759153.64%27345460.13%989762475162340204
4Condors20200000214-121010000017-61010000017-600.000235004948332272783202607601335361000.00%13653.85%050977365.85%31759153.64%27345460.13%989762475162340204
5Eagles22000000163131100000061511000000102841.00016304600494833280278320260715614334125.00%60100.00%150977365.85%31759153.64%27345460.13%989762475162340204
6Gulls21000010844110000005231000001032141.0008132100494833281278320260738116595240.00%30100.00%050977365.85%31759153.64%27345460.13%989762475162340204
7Heat2020000016-51010000002-21010000014-300.00012300494833223278320260734123436600.00%15473.33%050977365.85%31759153.64%27345460.13%989762475162340204
8IceHogs32100000651110000002112110000044040.667611170049483325727832026074210326713215.38%13284.62%050977365.85%31759153.64%27345460.13%989762475162340204
9Moose2020000004-41010000002-21010000002-200.00000000494833230278320260730816431100.00%8275.00%050977365.85%31759153.64%27345460.13%989762475162340204
10Rampage 330000002432122000000181171100000062461.00024426601494833210827832026073252957400.00%110100.00%350977365.85%31759153.64%27345460.13%989762475162340204
11Reign2200000012111110000007161100000050541.000122335014948332792783202607197631200.00%30100.00%050977365.85%31759153.64%27345460.13%989762475162340204
12Roadrunners22000000853110000004311100000042241.00081422004948332632783202607321429595120.00%7185.71%150977365.85%31759153.64%27345460.13%989762475162340204
13Stars2200000013112110000006151100000070741.0001324370149483327027832026072451047300.00%50100.00%050977365.85%31759153.64%27345460.13%989762475162340204
Total3019100001013156751511400000712645158600010603030400.66713123536606494833286227832026074461352876331011312.87%1151884.35%550977365.85%31759153.64%27345460.13%989762475162340204
15Wild2200000020119110000001001011000000101941.00020365601494833289278320260724710534125.00%5180.00%050977365.85%31759153.64%27345460.13%989762475162340204
_Since Last GM Reset3019100001013156751511400000712645158600010603030400.66713123536606494833286227832026074461352876331011312.87%1151884.35%550977365.85%31759153.64%27345460.13%989762475162340204
_Vs Conference3019100001013156751511400000712645158600010603030400.66713123536606494833286227832026074461352876331011312.87%1151884.35%550977365.85%31759153.64%27345460.13%989762475162340204
_Vs Division1611500000951778862000005164585300000441133220.6889517126605494833252927832026071784811933947612.77%52590.38%450977365.85%31759153.64%27345460.13%989762475162340204

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3040W313123536686244613528763306
All Games
GPWLOTWOTL SOWSOLGFGA
301910001013156
Home Games
GPWLOTWOTL SOWSOLGFGA
1511400007126
Visitor Games
GPWLOTWOTL SOWSOLGFGA
158600106030
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1011312.87%1151884.35%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27832026074948332
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
50977365.85%31759153.64%27345460.13%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
989762475162340204


Last Played Games
Filter Tips
PriorityTypeDescription
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
10textAny text entered in the filter will match text found within the column
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
Trade Deadline --- Trades can’t be done after this day is simulated!
1 - 2020-10-2413Wolves0 Americans1LBoxScore
2 - 2020-10-2517Rampage 1Wolves10WBoxScore
3 - 2020-10-2637Wolves3IceHogs2WBoxScore
4 - 2020-10-2758Wolves1Condors7LBoxScore
5 - 2020-10-2863Eagles1Wolves6WBoxScore
6 - 2020-10-2988Rampage 0Wolves8WBoxScore
7 - 2020-10-30102Wolves10Wild1WBoxScore
9 - 2020-11-01114Admirals0Wolves9WBoxScore
10 - 2020-11-02137Reign1Wolves7WBoxScore
11 - 2020-11-03146Wolves0Moose2LBoxScore
12 - 2020-11-04162Condors7Wolves1LBoxScore
13 - 2020-11-05179Wolves1Heat4LBoxScore
15 - 2020-11-07195Wolves4Roadrunners2WBoxScore
16 - 2020-11-08211Roadrunners3Wolves4WBoxScore
17 - 2020-11-09217Wolves7Admirals0WBoxScore
18 - 2020-11-10239Stars1Wolves6WBoxScore
19 - 2020-11-11251Wolves7Stars0WBoxScore
20 - 2020-11-12261Wolves3Gulls2WXXBoxScore
21 - 2020-11-13277 Americans4Wolves1LBoxScore
23 - 2020-11-15301Gulls2Wolves5WBoxScore
24 - 2020-11-16306Wolves2Barracudas3LBoxScore
26 - 2020-11-18332Heat2Wolves0LBoxScore
27 - 2020-11-19348Wolves5Reign0WBoxScore
28 - 2020-11-20360Wolves6Rampage 2WBoxScore
29 - 2020-11-21371Moose2Wolves0LBoxScore
31 - 2020-11-23396Wild0Wolves10WBoxScore
32 - 2020-11-24409Wolves1IceHogs2LBoxScore
33 - 2020-11-25423Wolves10Eagles2WBoxScore
34 - 2020-11-26430Barracudas1Wolves2WBoxScore
39 - 2020-12-01464IceHogs1Wolves2WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price400
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,842,084$ 1,842,084$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




OverallHomeVisitor
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
202030191000010131567515114000007126451586000106030304013123536606494833286227832026074461352876331011312.87%1151884.35%550977365.85%31759153.64%27345460.13%989762475162340204
Total Regular Season30191000010131567515114000007126451586000106030304013123536606494833286227832026074461352876331011312.87%1151884.35%550977365.85%31759153.64%27345460.13%989762475162340204