Banshees
GP: 82 | W: 48 | L: 22 | T: 11 | P: 108
GF: 301 | GA: 239 | PP%: 21.03% | PK%: 80.38%
GM : Louis-Philippe DesHaies | Morale : 77 | Team Overall : 65
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# 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 SPAgeContractSalary
1Andrei Kovalenko (R)X99.007255667075706975677979726832358179680242620,000$
2Wes WalzX100.005844757370727274667478767240408170680241300,000$
3Greg GilbertX100.005943836572717170636665796461682480660322550,000$
4Ryan Walter (C)X100.00554668627372716762666482638078180660362325,000$
5Steve LeachX100.007458686374717274667275737142435378660282525,000$
6Garry ValkX100.006955686375757665627166816435356280650271500,000$
7Jeff DanielsX100.005541806775687069657262736048516860640261250,000$
8Craig ConroyX100.006350697175707172667260735826328964640234700,000$
9Brian RolstonX100.005444737174676671657168756428289779640212500,000$
10Mariusz Czerkawski (R)X100.005644726973676774657271636630339576630222400,000$
11Martin Lapointe (R)X100.006056626674636362656264676427279847590212500,000$
12Murray Baron (A)X100.007461646278767660567156875143446180670273635,000$
13Jason WoolleyX100.006650757474737470647063806036407680670252700,000$
14Bill Berg (R) (A)X100.006347836376707273587270795843466080660272385,000$
15Neil WilkinsonX100.007661676773697161586442814045535922650271525,000$
16Peter AholaX100.006956626774676766637361765833336980630263500,000$
17Philippe Boucher (R)X100.006450716477646464586752774827309875620212250,000$
Scratches
1Alexander SemakX96.747060646771737281728278697035384756680291475,000$
2Terry YakeX100.006549807072717367646764756362646832660261440,000$
3Jody HullX100.006448797174707171677172746846407436660253535,000$
4Jose CharbonneauX100.007157626573687066647069676651475220640281100,000$
5Mike SillingerX100.006148746874656565636966716428288920620232320,000$
6Todd Warriner (R)X100.006047706670646459576655655228309620580204325,000$
7Lyndon ByersX100.007274315467646443424845744353593820540301100,000$
8Chris JosephX100.007050766578656664617048804547526867650261310,000$
TEAM AVERAGE99.83655270677469696762696475604143685964
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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
1Jim Hrivnak100.00717480777676818681747245416862720
2Craig Billington100.00757672707476798480767651465561710
Scratches
1Fred Brathwaite (R)100.00687475657370687073716943408418650
TEAM AVERAGE100.0071757671747476807874724642694769
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Tortorella78778177748490USA36295,000$


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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
1Wes WalzBanshees (PHI)C7638428018240691932636216714.45%12143418.881320338833700041308150.28%180800001.1200000456
2Alexander SemakBanshees (PHI)C643140711061151051201946016115.98%6115618.08101929662780001316253.06%148900111.2300003863
3Andrei KovalenkoBanshees (PHI)RW683032620595186951965315415.31%6129619.07111526523250000255048.05%15400020.9600001665
4Murray BaronBanshees (PHI)D82104555-1141252128010835689.26%108197524.0951924733750003258100.00%000000.5600014404
5Peter AholaBanshees (PHI)D821638542110351407593416317.20%56161619.7112921653190000120100.00%000000.6700100225
6Bill BergBanshees (PHI)D82648542412049869623786.25%75151818.525111655241000063100.00%000000.7100000223
7Brian RolstonBanshees (PHI)LW8115385316037123170511188.82%11149318.43320234130700061921139.45%10900000.7100000122
8Jason WoolleyBanshees (PHI)D7410425203606898128451007.81%82174023.5272128803440003248320.00%000000.6000000320
9Steve LeachBanshees (PHI)RW731630461769512277139479011.51%4102113.992111324121000012250.72%6900000.9000001242
10Mariusz CzerkawskiBanshees (PHI)RW7223224531406357132497217.42%2100413.9514102455304000004155.07%6900000.9000000430
11Greg GilbertBanshees (PHI)LW821719363803265124458013.71%1199612.1535813790002793153.16%7900000.7200000224
12Chris JosephBanshees (PHI)D7663036772095636921468.70%90144018.96369422160220223100.00%000000.5000000231
13Garry ValkBanshees (PHI)LW8216163224959276129348312.40%1294411.51336857202111783150.00%9000000.6800010126
14Jeff DanielsBanshees (PHI)LW5914183220120165186207816.28%287214.7935824195000072145.59%6800000.7300000222
15Ryan WalterBanshees (PHI)C82181028-5803417196276718.75%18110713.51336145500043281152.02%143600000.5100000021
16Craig ConroyBanshees (PHI)C70917261440631109322699.68%685912.28123151130003730049.65%99100000.6100000014
17Philippe BoucherBanshees (PHI)D732202215420566220162310.00%75124817.111233300111221000.00%000000.3500000100
18Dallas DrakeFlyersLW281192011100485488277712.50%1261121.841011712400021052148.28%5800000.6500000321
19Terry YakeBanshees (PHI)C354913710021523892610.53%339611.320001140000301150.12%41300000.6600000000
20Jody HullBanshees (PHI)RW336410-312028326115249.84%438611.71101538000162045.45%2200000.5200000102
21Martin LapointeBanshees (PHI)RW4124621001811245178.33%03298.0400017000050157.14%1400000.3600000000
22Jose CharbonneauBanshees (PHI)RW250556100357155110.00%22359.42000310000060036.36%2200000.4200000010
23Neil WilkinsonBanshees (PHI)D23112-2220402616356.25%1841618.09101747000066100.00%000000.1000000000
24Mike SillingerBanshees (PHI)C5011040271140.00%15611.2000000000020040.98%6100000.3600000000
25Lyndon ByersBanshees (PHI)RW90112601120000.00%0667.4300000000000066.67%300000.3000000000
Team Total or Average147730154184215984460164217932379716168112.65%6162422616.401021812837523947235412408481650.81%695500130.7000129484751
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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
1Jim HrivnakBanshees (PHI)59351270.8842.8732374215513330510.00005526200
2Craig BillingtonBanshees (PHI)29121130.8822.79152902716010210.00002449111
3Fred BrathwaiteBanshees (PHI)51010.8573.062160011770000.000037000
Team Total or Average934823110.8822.8549834423720110720.00008282311


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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 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
Alexander SemakBanshees (PHI)C291992-02-09 9:08:37 PMNo185 Lbs5 ft10NoNoNo1Pro & Farm475,000$47,500$349$No
Andrei KovalenkoBanshees (PHI)RW241997-02-09 9:08:37 PMYes210 Lbs5 ft10NoNoNo2Pro & Farm620,000$62,000$456$No620,000$
Bill BergBanshees (PHI)D271994-02-09 9:08:37 PMYes205 Lbs6 ft1NoNoNo2Pro & Farm385,000$38,500$283$No385,000$
Brian RolstonBanshees (PHI)LW212000-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo2Pro & Farm500,000$50,000$368$No500,000$
Chris JosephBanshees (PHI)D261995-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo1Pro & Farm310,000$31,000$228$No
Craig BillingtonBanshees (PHI)G281993-02-09 9:08:37 PMNo170 Lbs5 ft10NoNoNo3Pro & Farm780,000$78,000$574$No780,000$780,000$
Craig ConroyBanshees (PHI)C231998-02-09 9:08:37 PMNo198 Lbs6 ft2NoNoNo4Pro & Farm700,000$70,000$515$No700,000$700,000$700,000$
Fred BrathwaiteBanshees (PHI)G221998-08-11 10:33:53 AMYes185 Lbs5 ft7NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Garry ValkBanshees (PHI)LW271994-02-09 9:08:37 PMNo205 Lbs6 ft1NoNoNo1Pro & Farm500,000$50,000$368$No
Greg GilbertBanshees (PHI)LW321989-02-09 9:08:37 PMNo195 Lbs6 ft1NoNoNo2Pro & Farm550,000$55,000$404$No550,000$
Jason WoolleyBanshees (PHI)D251996-02-09 9:08:37 PMNo188 Lbs6 ft1NoNoNo2Pro & Farm700,000$70,000$515$No700,000$
Jeff DanielsBanshees (PHI)LW261995-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$184$No
Jim HrivnakBanshees (PHI)G261995-02-09 9:08:37 PMNo185 Lbs6 ft2NoNoNo2Pro & Farm900,000$90,000$662$No900,000$
Jody HullBanshees (PHI)RW251996-02-09 9:08:37 PMNo195 Lbs6 ft2NoNoNo3Pro & Farm535,000$53,500$393$No535,000$535,000$
Jose CharbonneauBanshees (PHI)RW281993-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo1Pro & Farm100,000$10,000$74$No
Lyndon ByersBanshees (PHI)RW301991-02-09 9:08:37 PMNo190 Lbs6 ft1NoNoNo1Pro & Farm100,000$10,000$74$No
Mariusz CzerkawskiBanshees (PHI)RW221999-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Martin LapointeBanshees (PHI)RW212000-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo2Pro & Farm500,000$50,000$368$No500,000$
Mike SillingerBanshees (PHI)C231998-02-09 9:08:37 PMNo200 Lbs6 ft0NoNoNo2Pro & Farm320,000$32,000$235$No320,000$
Murray BaronBanshees (PHI)D271994-02-09 9:08:37 PMNo218 Lbs6 ft3NoNoNo3Pro & Farm635,000$63,500$467$No635,000$635,000$
Neil WilkinsonBanshees (PHI)D271994-02-09 9:08:37 PMNo180 Lbs6 ft3NoNoNo1Pro & Farm525,000$52,500$386$No
Peter AholaBanshees (PHI)D261995-02-09 9:08:37 PMNo205 Lbs6 ft3NoNoNo3Pro & Farm500,000$50,000$368$No500,000$500,000$
Philippe BoucherBanshees (PHI)D212000-02-09 9:08:37 PMYes212 Lbs6 ft3NoNoNo2Pro & Farm250,000$25,000$184$No250,000$
Ryan WalterBanshees (PHI)C361985-02-09 9:08:37 PMNo195 Lbs6 ft0NoNoNo2Pro & Farm325,000$32,500$239$No325,000$
Steve LeachBanshees (PHI)RW281993-02-09 9:08:37 PMNo200 Lbs5 ft11NoNoNo2Pro & Farm525,000$52,500$386$No525,000$
Terry YakeBanshees (PHI)C261995-02-09 9:08:37 PMNo185 Lbs5 ft11NoNoNo1Pro & Farm440,000$44,000$324$No
Todd WarrinerBanshees (PHI)LW202001-02-09 9:08:37 PMYes182 Lbs6 ft1NoNoNo4Pro & Farm325,000$32,500$239$No325,000$325,000$325,000$
Wes WalzBanshees (PHI)C241997-02-09 9:08:37 PMNo180 Lbs5 ft10NoNoNo1Pro & Farm300,000$30,000$221$No
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.71195 Lbs6 ft12.00453,571$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brian RolstonAndrei Kovalenko35023
2Jeff DanielsWes WalzSteve Leach30023
3Greg GilbertCraig ConroyMariusz Czerkawski20023
4Garry ValkRyan WalterMartin Lapointe15023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jason WoolleyMurray Baron35032
2Peter AholaBill Berg30032
3Neil WilkinsonPhilippe Boucher20032
4Murray BaronPhilippe Boucher15032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brian RolstonWes WalzAndrei Kovalenko60014
2Jeff DanielsCraig ConroyMariusz Czerkawski40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Peter AholaBill Berg60131
2Murray BaronJason Woolley40131
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Ryan WalterBrian Rolston60041
2Craig ConroyGarry Valk40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Murray BaronJason Woolley60140
2Neil WilkinsonPhilippe Boucher40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Ryan Walter60050Neil WilkinsonJason Woolley60122
2Craig Conroy40050Murray BaronPhilippe Boucher40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andrei Kovalenko60122
2Wes WalzGarry Valk40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bill BergJason Woolley60122
2Murray BaronNeil Wilkinson40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brian RolstonWes WalzAndrei KovalenkoJason WoolleyMurray Baron
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Garry ValkRyan WalterAndrei KovalenkoMurray BaronJason Woolley
Extra Forwards
Normal PowerPlayPenalty Kill
Andrei Kovalenko, Ryan Walter, Garry ValkSteve Leach, Ryan WalterGarry Valk
Extra Defensemen
Normal PowerPlayPenalty Kill
Jason Woolley, Peter Ahola, Murray BaronPeter AholaPeter Ahola, Murray Baron
Penalty Shots
Wes Walz, Andrei Kovalenko, Brian Rolston, Mariusz Czerkawski, Martin Lapointe
Goalie
#1 : Jim Hrivnak, #2 : Craig Billington


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
1Ailes Rouges5401000022101233000000155102101000075290.90022386000105989351688057667683910930519237718.92%18288.89%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
2As5230000018144312000009722110000097240.40018345200105989351308057667683911132459731825.81%18288.89%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
3Canadiens64011000281992101000010734300100018126110.917285179001059893519380576676839138486213034926.47%31777.42%11454284651.09%1339266850.19%741144151.42%2019136818866411087555
4Chiefs613200001524-92020000049-5411200001115-440.333152439001059893515880576676839164536811624416.67%32875.00%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
5Citadelles9402210039291042011000161155201110023185150.833396810700105989352348057667683924970137220691521.74%621182.26%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
6Croque-Morts523000001215-32110000056-13120000079-240.400122234001059893512780576676839119354910728621.43%16287.50%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
7Harvard6420000025196321000001513232100000106480.667254671001059893518280576676839146475412131929.03%21290.48%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
8Isotopes11523100037271062130000181535310100019127150.68237691060010598935345805766768392398610019579911.39%44784.09%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
9Pacifiques de la route5311000022157220000001257311100001010070.70022386001105989351488057667683910232379527725.93%16287.50%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
10Riverman624000002025-5413000001419-52110000066040.333203858101059893519080576676839167516111826934.62%26965.38%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
11Snipers75101000261313421010001156330000001587120.8572645710210598935172805766768391595668149331030.30%33681.82%11454284651.09%1339266850.19%741144151.42%2019136818866411087555
12Spoonman's53110000181533201000013942110000056-170.70018325010105989351558057667683914536589230413.33%27774.07%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
13Wolves64200000191453210000010643210000098180.667193655011059893517680576676839165405810936513.89%23769.57%01454284651.09%1339266850.19%741144151.42%2019136818866411087555
Total82432211510030123962412112620001521173541221053100149122271080.65930154184224105989352378805766768392013616848164148510221.03%3677280.38%21454284651.09%1339266850.19%741144151.42%2019136818866411087555
_Since Last GM Reset82542205100301239624121126200015211735413310-63100149122271190.72630154184224105989352378805766768392013616848164148510221.03%3677280.38%21454284651.09%1339266850.19%741144151.42%2019136818866411087555
_Vs Conference43308041001621332920946100076641223214-63100866917690.802162290452101059893512678057667683910813404798742675018.73%2174280.65%11454284651.09%1339266850.19%741144151.42%2019136818866411087555
_Vs Division20142031007656201041410003426810101-42100423012350.875761372130010598935579805766768394881562374151482416.22%1061883.02%01454284651.09%1339266850.19%741144151.42%2019136818866411087555

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82108L130154184223782013616848164124
All Games
GPWLOTWOTL TGFGA
8243225111301239
Home Games
GPWLOTWOTL TGFGA
412112206152117
Visitor Games
GPWLOTWOTL TGFGA
412210315149122
Last 10 Games
WLOTWOTL T
35002
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
48510221.03%3677280.38%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8057667683910598935
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1454284651.09%1339266850.19%741144151.42%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2019136818866411087555


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-09-212Banshees5Citadelles5TXR2BoxScore
2 - 2020-09-228Banshees2Isotopes1WXBoxScore
3 - 2020-09-2314Isotopes3Banshees2LBoxScore
5 - 2020-09-2522Isotopes2Banshees4WBoxScore
6 - 2020-09-2629Banshees6Canadiens5WXBoxScore
7 - 2020-09-2732Banshees4Citadelles3WR2BoxScore
8 - 2020-09-2839Citadelles2Banshees5WBoxScore
10 - 2020-09-3052As4Banshees3LBoxScore
11 - 2020-10-0158Banshees3Ailes Rouges3TXBoxScore
13 - 2020-10-0362Banshees1Chiefs6LBoxScore
15 - 2020-10-0569Snipers0Banshees3WBoxScore
17 - 2020-10-0779Banshees4Ailes Rouges2WBoxScore
19 - 2020-10-0984Snipers4Banshees3LBoxScore
21 - 2020-10-1193Canadiens3Banshees6WBoxScore
23 - 2020-10-1399Banshees3Chiefs3TXBoxScore
26 - 2020-10-16107Isotopes4Banshees4TXBoxScore
27 - 2020-10-17113Banshees2Pacifiques de la route3LBoxScore
29 - 2020-10-19120Croque-Morts2Banshees3WBoxScore
31 - 2020-10-21127Banshees3Wolves2WBoxScore
33 - 2020-10-23133As2Banshees6WBoxScore
35 - 2020-10-25139Banshees5Snipers3WBoxScore
37 - 2020-10-27147Harvard5Banshees6WBoxScore
39 - 2020-10-29156Ailes Rouges3Banshees7WBoxScore
42 - 2020-11-01164Banshees3Isotopes2WBoxScore
43 - 2020-11-02170Banshees3Citadelles4LXR2BoxScore
44 - 2020-11-03175Banshees2Chiefs2TXBoxScore
46 - 2020-11-05181Pacifiques de la route5Banshees6WBoxScore
47 - 2020-11-06191As1Banshees0LBoxScore
49 - 2020-11-08197Banshees5Pacifiques de la route5TXBoxScore
50 - 2020-11-09204Ailes Rouges1Banshees2WBoxScore
52 - 2020-11-11211Banshees3Canadiens2WBoxScore
53 - 2020-11-12218Banshees2As4LBoxScore
55 - 2020-11-14223Spoonman's2Banshees5WBoxScore
56 - 2020-11-15230Banshees3Isotopes5LBoxScore
58 - 2020-11-17235Isotopes2Banshees4WBoxScore
59 - 2020-11-18242Banshees3Riverman1WBoxScore
61 - 2020-11-20252Chiefs5Banshees2LBoxScore
62 - 2020-11-21256Banshees3Spoonman's2WBoxScore
64 - 2020-11-23265Spoonman's3Banshees3TXBoxScore
66 - 2020-11-25274Snipers1Banshees2WXBoxScore
67 - 2020-11-26283Spoonman's4Banshees5WBoxScore
68 - 2020-11-27284Banshees4Citadelles3WXR2BoxScore
71 - 2020-11-30298Isotopes2Banshees2TXBoxScore
72 - 2020-12-01302Banshees2Croque-Morts1WBoxScore
73 - 2020-12-02307Banshees5Snipers2WBoxScore
74 - 2020-12-03316Snipers0Banshees3WBoxScore
75 - 2020-12-04318Banshees5Isotopes3WBoxScore
77 - 2020-12-06330Wolves1Banshees6WBoxScore
78 - 2020-12-07334Banshees5Harvard2WBoxScore
79 - 2020-12-08342Banshees5Wolves4WBoxScore
80 - 2020-12-09347Wolves0Banshees4WBoxScore
82 - 2020-12-11356Banshees4Canadiens1WBoxScore
84 - 2020-12-13361Citadelles1Banshees1TXR2BoxScore
86 - 2020-12-15370Banshees3Croque-Morts4LBoxScore
88 - 2020-12-17376Banshees7As3WBoxScore
90 - 2020-12-19380Harvard4Banshees3LBoxScore
92 - 2020-12-21389Citadelles5Banshees6WR2BoxScore
94 - 2020-12-23398Banshees1Wolves2LBoxScore
96 - 2020-12-25403Riverman2Banshees3WBoxScore
98 - 2020-12-27412Banshees6Isotopes1WBoxScore
100 - 2020-12-29417Riverman5Banshees3LBoxScore
101 - 2020-12-30425Banshees5Canadiens4WBoxScore
103 - 2021-01-01431Croque-Morts4Banshees2LBoxScore
105 - 2021-01-03440Banshees3Riverman5LBoxScore
106 - 2021-01-04444Banshees5Chiefs4WBoxScore
108 - 2021-01-06449Citadelles3Banshees4WXR2BoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
110 - 2021-01-08458Chiefs4Banshees2LBoxScore
112 - 2021-01-10469Banshees3Pacifiques de la route2WBoxScore
113 - 2021-01-11472Pacifiques de la route0Banshees6WBoxScore
115 - 2021-01-13484Harvard4Banshees6WBoxScore
118 - 2021-01-16496Wolves5Banshees0LBoxScore
119 - 2021-01-17503Banshees5Snipers3WBoxScore
120 - 2021-01-18506Banshees2Spoonman's4LBoxScore
121 - 2021-01-19512Ailes Rouges1Banshees6WBoxScore
122 - 2021-01-20520Banshees7Citadelles3WR2BoxScore
123 - 2021-01-21527Riverman6Banshees4LBoxScore
125 - 2021-01-23537Riverman6Banshees4LBoxScore
127 - 2021-01-25542Banshees1Harvard2LBoxScore
129 - 2021-01-27553Isotopes2Banshees2TXBoxScore
130 - 2021-01-28558Banshees4Harvard2WBoxScore
133 - 2021-01-31566Canadiens4Banshees4TXBoxScore
134 - 2021-02-01572Banshees2Croque-Morts4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

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

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,321,825$ 1,270,000$ 1,270,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,270,000$ 1,321,825$ 28 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 10,037$ 10,037$




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