Croque-Morts
GP: 82 | W: 48 | L: 26 | T: 3 | P: 104
GF: 315 | GA: 256 | PP%: 21.76% | PK%: 79.50%
GM : Pascal Beaulieu | Morale : 63 | 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
1Dixon Ward (R)X100.006752676675707076677874726840406879670263450,000$
2Luciano BorsatoX100.007152716767707078697677637246515475670281450,000$
3Ray Whitney (R)X100.005541817769717078687774726830309670670222450,000$
4Tony HrkacX100.006044826968717373687669756645475470660283700,000$
5Dave LowryX100.006856646674787865616867746566724824660291550,000$
6Dave McLlwainX100.006146777073757371657470716439485980660272455,000$
7Corey MillenX100.005849696971727468667366766454593980660302580,000$
8Tom ChorskeX100.006344836177717272677670726847465369660281625,000$
9Tom FitzgeraldX100.006647846974717271647166826441426871660262525,000$
10Bryan Smolinski (R) (A)X100.005541786977717175677573686832288970650231500,000$
11Brian Savage (R)X100.006650687073666771637469766435378872650232400,000$
12Blair AytchenumX100.006544886877697072627068796232287580650251440,000$
13Dana MurzynX100.008071546675847170627358785149525378680282515,000$
14Trent YawneyX100.007869555975707062607052835062674873670293627,000$
15Bob Halkidis (A)X100.008272546575757551485648764660585339650281250,000$
16Jeff FinleyX100.007157656377697062586857825343446226650272475,000$
17Richard Smehlik (R)X100.006850716479727367617159815429248280640241510,000$
18Dean Malkoc (R)X100.008374406878727257515554785135427532640253500,000$
Scratches
1Patrik JuhlinX100.005340817272666869667468736434287520640251150,000$
2Brian Holzinger (R)X100.006250707271636462607065746226289048620232220,000$
3Dan Kesa (R)X100.006358646376586057545656715429298820570232230,000$
4Mike KennedyX100.005651695967464652515652495028289520510223145,000$
5Scott Lachance (R)X100.005744796677707266616857785434349647630223480,000$
6Ivan DroppaX100.005844737073686867596355725230269620610223365,000$
7Eric Cairns (R)X100.007062525980545558495938733128289719580203400,000$
TEAM AVERAGE100.00655270677469696761696274594041725464
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
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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
1Byron Dafoe (R)100.00737877747773788479767335318217700
2Jocelyn Thibault (R)100.00737070677775777680747135409927680
Scratches
1Parris Duffus100.00686881787777798581716428338259690
TEAM AVERAGE100.0071727673777578828074693335883469
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Al Arbour80798474999858CAN62295,000$


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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")
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# 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
1Ray WhitneyCroque-Morts (ANA)LW7838539129180461512718621514.02%19162920.89818267232500042187253.69%14900111.1200000787
2Dixon WardCroque-Morts (ANA)RW80384280258401891232567217614.84%17169821.231212247233200052315351.54%51800200.9400000952
3Luciano BorsatoCroque-Morts (ANA)LW79353974147151571262205915115.91%11146418.541415297029700061793151.98%40400101.0100010774
4Tony HrkacCroque-Morts (ANA)C8224446813280571751965112412.24%16137216.741017276731600051844352.10%159300000.9900000353
5Dana MurzynCroque-Morts (ANA)D821750679741018097120338414.17%120200624.47112031853550110313000.00%000000.6700110343
6Corey MillenCroque-Morts (ANA)C821947664400601981815411010.50%11126515.4442125472051012194057.84%159400001.0400000321
7Dave McLlwainCroque-Morts (ANA)RW822431559220711182067316211.65%10136216.6151217512530001521154.55%11000000.8100000234
8Bryan SmolinskiCroque-Morts (ANA)C8223325532260291621644615214.02%9125615.3324621142000034148.97%155000010.8800000423
9Trent YawneyCroque-Morts (ANA)D80143852108201238898306314.29%115192224.0381321733340110289110.00%000000.5400000233
10Richard SmehlikCroque-Morts (ANA)D829324119375337679375011.39%90154218.81459502070111178200.00%000000.5300001010
11Tom FitzgeraldCroque-Morts (ANA)RW801525401026046112134599011.19%7104713.1024619940002535049.59%12300000.7600000122
12Brian SavageCroque-Morts (ANA)LW81121628-3320735598295912.24%57088.751343220000752049.37%7900000.7900000301
13Jeff FinleyCroque-Morts (ANA)D5452025918066445121409.80%56113020.9321012251940001188000.00%000000.4400000012
14Scott LachanceCroque-Morts (ANA)D5432225251401142328229.38%4179814.78033313000040200.00%000000.6300000011
15Bob HalkidisCroque-Morts (ANA)D63717247129351593955153612.73%64132721.07426352350000204200.00%000000.3600223021
16Blair AytchenumCroque-Morts (ANA)RW821210221220264885226814.12%115997.32000011013791042.62%6100000.7300000102
17Brian HolzingerCroque-Morts (ANA)C52712198140287856193212.50%85099.790000000001173047.81%64000000.7500000102
18Dave LowryCroque-Morts (ANA)LW4559144200762844124011.36%364814.422134290001711051.28%3900000.4300000010
19Tom ChorskeCroque-Morts (ANA)LW73681468031436321559.52%35076.9500026000071055.00%4000000.5500000003
20Dean MalkocCroque-Morts (ANA)D49281020100012930236148.70%3774615.2400017000055000.00%000000.2700000000
21Eric CairnsCroque-Morts (ANA)D28044363550139230.00%2141114.7100003000034000.00%000000.1900010000
22Patrik JuhlinCroque-Morts (ANA)RW6000120021120.00%0355.9700000000000071.43%1400000.0000000000
Team Total or Average147631555987425593060164018482442756174812.90%6742399316.26891602497003381235312598481252.24%691400420.7300354464744
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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 Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3
1Jocelyn ThibaultCroque-Morts (ANA)3018800.8852.94157101776710100.00002725100
2Byron DafoeCroque-Morts (ANA)37161730.8663.352062421158600000.0000377110
3Parris DuffusCroque-Morts (ANA)2714600.9002.87131821636300110.00001850201
Team Total or Average94483130.8823.0949526425521610210.00008282411


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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 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
Blair AytchenumCroque-Morts (ANA)RW251996-02-09 9:08:37 PMNo210 Lbs6 ft2NoNoNo1Pro & Farm440,000$44,000$324$No
Bob HalkidisCroque-Morts (ANA)D281993-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm250,000$25,000$184$No
Brian HolzingerCroque-Morts (ANA)C231998-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo2Pro & Farm220,000$22,000$162$No220,000$
Brian SavageCroque-Morts (ANA)LW231998-02-09 9:08:37 PMYes192 Lbs6 ft2NoNoNo2Pro & Farm400,000$40,000$294$No400,000$
Bryan SmolinskiCroque-Morts (ANA)C231998-02-09 9:08:37 PMYes209 Lbs6 ft1NoNoNo1Pro & Farm500,000$50,000$368$No
Byron DafoeCroque-Morts (ANA)G241997-02-09 9:08:37 PMYes190 Lbs5 ft11NoNoNo1Pro & Farm300,000$30,000$221$No
Corey MillenCroque-Morts (ANA)C301991-02-09 9:08:37 PMNo184 Lbs6 ft0NoNoNo2Pro & Farm580,000$58,000$426$No580,000$
Dan KesaCroque-Morts (ANA)RW231998-02-09 9:08:37 PMYes208 Lbs6 ft0NoNoNo2Pro & Farm230,000$23,000$169$No230,000$
Dana MurzynCroque-Morts (ANA)D281993-02-09 9:08:37 PMNo200 Lbs6 ft2NoNoNo2Pro & Farm515,000$51,500$379$No515,000$
Dave LowryCroque-Morts (ANA)LW291992-02-09 9:08:37 PMNo200 Lbs6 ft1NoNoNo1Pro & Farm550,000$55,000$404$No
Dave McLlwainCroque-Morts (ANA)RW271994-02-09 9:08:37 PMNo185 Lbs6 ft1NoNoNo2Pro & Farm455,000$45,500$335$No455,000$
Dean MalkocCroque-Morts (ANA)D251996-02-09 9:08:37 PMYes210 Lbs6 ft3NoNoNo3Pro & Farm500,000$50,000$368$No500,000$500,000$
Dixon WardCroque-Morts (ANA)RW261995-02-09 9:08:37 PMYes200 Lbs6 ft0NoNoNo3Pro & Farm450,000$45,000$331$No450,000$450,000$
Eric CairnsCroque-Morts (ANA)D202001-02-09 9:08:37 PMYes220 Lbs6 ft5NoNoNo3Pro & Farm400,000$40,000$294$No400,000$400,000$
Ivan DroppaCroque-Morts (ANA)D221999-02-09 9:08:37 PMNo185 Lbs6 ft2NoNoNo3Pro & Farm365,000$36,500$268$No365,000$365,000$
Jeff FinleyCroque-Morts (ANA)D271994-02-09 9:08:37 PMNo205 Lbs6 ft2NoNoNo2Pro & Farm475,000$47,500$349$No475,000$
Jocelyn ThibaultCroque-Morts (ANA)G192001-08-11 10:49:31 AMYes170 Lbs5 ft11NoNoNo3Pro & Farm250,000$25,000$184$No250,000$250,000$
Luciano BorsatoCroque-Morts (ANA)LW281993-02-09 9:08:37 PMNo165 Lbs5 ft10NoNoNo1Pro & Farm450,000$45,000$331$No
Mike KennedyCroque-Morts (ANA)C221999-02-09 9:08:37 PMNo200 Lbs6 ft0NoNoNo3Pro & Farm145,000$14,500$107$No145,000$145,000$
Parris DuffusCroque-Morts (ANA)G241997-02-09 9:08:37 PMNo192 Lbs6 ft2NoNoNo1Pro & Farm300,000$30,000$221$No
Patrik JuhlinCroque-Morts (ANA)RW251996-02-09 9:08:37 PMNo194 Lbs6 ft1NoNoNo1Pro & Farm150,000$15,000$110$No
Ray WhitneyCroque-Morts (ANA)LW221999-02-09 9:08:37 PMYes175 Lbs5 ft10NoNoNo2Pro & Farm450,000$45,000$331$No450,000$
Richard SmehlikCroque-Morts (ANA)D241997-02-09 9:08:37 PMYes222 Lbs6 ft3NoNoNo1Pro & Farm510,000$51,000$375$No
Scott LachanceCroque-Morts (ANA)D221999-02-09 9:08:37 PMYes209 Lbs6 ft1NoNoNo3Pro & Farm480,000$48,000$353$No480,000$480,000$
Tom ChorskeCroque-Morts (ANA)LW281993-02-09 9:08:37 PMNo212 Lbs6 ft1NoNoNo1Pro & Farm625,000$62,500$460$No
Tom FitzgeraldCroque-Morts (ANA)RW261995-02-09 9:08:37 PMNo191 Lbs6 ft0NoNoNo2Pro & Farm525,000$52,500$386$No525,000$
Tony HrkacCroque-Morts (ANA)C281993-02-09 9:08:37 PMNo170 Lbs5 ft11NoNoNo3Pro & Farm700,000$70,000$515$No700,000$700,000$
Trent YawneyCroque-Morts (ANA)D291992-02-09 9:08:37 PMNo195 Lbs6 ft3NoNoNo3Pro & Farm627,000$62,700$461$No627,000$627,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.00196 Lbs6 ft11.96422,929$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Luciano BorsatoCorey MillenDixon Ward35122
2Ray WhitneyTony HrkacDave McLlwain30122
3Dave LowryBryan SmolinskiTom Fitzgerald20122
4Tom ChorskeLuciano BorsatoBlair Aytchenum15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dana MurzynTrent Yawney35122
2Jeff FinleyBob Halkidis30122
3Richard SmehlikDean Malkoc20122
4Dana MurzynTrent Yawney15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Luciano BorsatoCorey MillenDixon Ward60122
2Ray WhitneyTony HrkacDave McLlwain40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dana MurzynTrent Yawney60122
2Jeff FinleyBob Halkidis40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Luciano BorsatoRay Whitney60122
2Dixon WardDave Lowry40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Dana MurzynTrent Yawney60122
2Jeff FinleyBob Halkidis40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Luciano Borsato60122Dana MurzynTrent Yawney60122
2Ray Whitney40122Jeff FinleyBob Halkidis40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Luciano BorsatoRay Whitney60122
2Dixon WardDave Lowry40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dana MurzynTrent Yawney60122
2Jeff FinleyBob Halkidis40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Luciano BorsatoCorey MillenDixon WardDana MurzynTrent Yawney
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Luciano BorsatoCorey MillenDixon WardDana MurzynTrent Yawney
Extra Forwards
Normal PowerPlayPenalty Kill
Brian Savage, Tom Chorske, Tom FitzgeraldBrian Savage, Tom ChorskeTom Fitzgerald
Extra Defensemen
Normal PowerPlayPenalty Kill
Richard Smehlik, Dean Malkoc, Jeff FinleyRichard SmehlikDean Malkoc, Jeff Finley
Penalty Shots
Luciano Borsato, Ray Whitney, Dixon Ward, Dave Lowry, Dave McLlwain
Goalie
#1 : Jocelyn Thibault, #2 : Byron Dafoe


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 Rouges87100000412417431000001811744000000231310140.875417511601113110902269784821821162077982139511631.37%38878.95%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
2As107300000393365410000020119532000001922-3140.7003969108001131109023057848218211627776120198551120.00%571377.19%11462279852.25%1449274052.88%701137650.94%1966133419186471072531
3Banshees5320000015123321000009722110000065160.6001526410011311090211978482182116127456310916212.50%28678.57%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
4Canadiens531010002313102010100089-1330000001541180.800234063001131109021717848218211611444429526519.23%20480.00%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
5Chiefs6321000029209431000002212102011000078-170.58329518000113110902200784821821161394354139331030.30%26676.92%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
6Citadelles531001002116522000000927311001001214-270.7002138590011311090215478482182116160485911922836.36%24675.00%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
7Harvard522100001918122000000945302100001014-450.5001934530011311090213778482182116127285110218527.78%22481.82%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
8Isotopes6320010023185412001001416-22200000092770.5832341640111311090216878482182116155437611124312.50%27677.78%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
9Pacifiques de la route614001001422-83120000059-430200100913-430.25014274110113110902151784821821161605110311528310.71%36877.78%11462279852.25%1449274052.88%701137650.94%1966133419186471072531
10Riverman632001002417731200000910-132000100157870.5832443670011311090219578482182116155536310631516.13%26484.62%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
11Snipers53200000201732110000088032100000129360.6002034540011311090212978482182116167426110717529.41%26580.77%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
12Spoonman's53100100181623200010011922110000077070.7001830480111311090214478482182116132446211427829.63%27485.19%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
13Wolves1053110002930-1421100001113-26320100018171130.65029518001113110902300784821821162427810018661813.11%43881.40%01462279852.25%1449274052.88%701137650.94%1966133419186471072531
Total8246263250031525659412413112001531213241221321300162135271040.63431555987414113110902244278482182116216267493616404098921.76%4008279.50%21462279852.25%1449274052.88%701137650.94%1966133419186471072531
_Since Last GM Reset82492602500315256594124131120015312132412513-11300162135271070.65231555987414113110902244278482182116216267493616404098921.76%4008279.50%21462279852.25%1449274052.88%701137650.94%1966133419186471072531
_Vs Conference452715012001671432421128100007162924157-11200968115580.6441672994661211311090213497848218211612083795298512434819.75%2264679.65%21462279852.25%1449274052.88%701137650.94%1966133419186471072531
_Vs Division2820701000109872213931000049351415114-1100060528420.75010919530402113110902874784821821167262333025231673520.96%1382978.99%11462279852.25%1449274052.88%701137650.94%1966133419186471072531

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82104W131555987424422162674936164014
All Games
GPWLOTWOTL TGFGA
824626253315256
Home Games
GPWLOTWOTL TGFGA
412413121153121
Visitor Games
GPWLOTWOTL TGFGA
412213132162135
Last 10 Games
WLOTWOTL T
72010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4098921.76%4008279.50%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
78482182116113110902
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1462279852.25%1449274052.88%701137650.94%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1966133419186471072531


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-09-213As3Croque-Morts5WBoxScore
2 - 2020-09-2212Croque-Morts2As6LBoxScore
4 - 2020-09-2418Chiefs4Croque-Morts3LBoxScore
6 - 2020-09-2626Croque-Morts8Ailes Rouges5WBoxScore
7 - 2020-09-2735Ailes Rouges0Croque-Morts3WBoxScore
9 - 2020-09-2945As2Croque-Morts3WBoxScore
10 - 2020-09-3048Croque-Morts3Wolves5LBoxScore
11 - 2020-10-0155Croque-Morts5As3WBoxScore
13 - 2020-10-0363Croque-Morts3Wolves2WXBoxScore
15 - 2020-10-0568Wolves3Croque-Morts4WBoxScore
17 - 2020-10-0776Croque-Morts5Wolves3WBoxScore
19 - 2020-10-0982Pacifiques de la route4Croque-Morts1LBoxScore
21 - 2020-10-1189Chiefs2Croque-Morts5WBoxScore
23 - 2020-10-13100Ailes Rouges3Croque-Morts5WBoxScore
25 - 2020-10-15103Croque-Morts1Wolves3LBoxScore
27 - 2020-10-17114Ailes Rouges6Croque-Morts4LBoxScore
29 - 2020-10-19120Croque-Morts2Banshees3LBoxScore
31 - 2020-10-21126Canadiens2Croque-Morts3WXBoxScore
33 - 2020-10-23135Pacifiques de la route2Croque-Morts3WBoxScore
35 - 2020-10-25142Croque-Morts3Chiefs4LBoxScore
37 - 2020-10-27148Croque-Morts5Ailes Rouges1WBoxScore
39 - 2020-10-29155Croque-Morts5Canadiens1WBoxScore
41 - 2020-10-31162As1Croque-Morts2WBoxScore
42 - 2020-11-01165Croque-Morts2Spoonman's0WBoxScore
44 - 2020-11-03174Croque-Morts4Pacifiques de la route5LXBoxScore
46 - 2020-11-05180Riverman4Croque-Morts3LBoxScore
47 - 2020-11-06186Croque-Morts4Isotopes2WBoxScore
48 - 2020-11-07193Spoonman's2Croque-Morts3WBoxScore
50 - 2020-11-09202Chiefs4Croque-Morts5WBoxScore
52 - 2020-11-11213Riverman2Croque-Morts4WBoxScore
53 - 2020-11-12219Croque-Morts4Ailes Rouges3WBoxScore
55 - 2020-11-14224Croque-Morts4Chiefs4TXBoxScore
57 - 2020-11-16232Wolves1Croque-Morts1TXBoxScore
58 - 2020-11-17237Croque-Morts3Harvard5LBoxScore
59 - 2020-11-18245Canadiens7Croque-Morts5LBoxScore
61 - 2020-11-20254Pacifiques de la route3Croque-Morts1LBoxScore
62 - 2020-11-21259Croque-Morts4Canadiens2WBoxScore
65 - 2020-11-24266Croque-Morts3Harvard5LBoxScore
66 - 2020-11-25273Harvard2Croque-Morts4WBoxScore
67 - 2020-11-26281Wolves9Croque-Morts3LBoxScore
68 - 2020-11-27289Croque-Morts4Harvard4TXBoxScore
70 - 2020-11-29294Croque-Morts2Riverman3LXBoxScore
72 - 2020-12-01302Banshees2Croque-Morts1LBoxScore
73 - 2020-12-02309Croque-Morts4Citadelles5LXBoxScore
74 - 2020-12-03312Croque-Morts3Wolves2WBoxScore
75 - 2020-12-04319Harvard2Croque-Morts5WBoxScore
77 - 2020-12-06329Snipers4Croque-Morts7WBoxScore
78 - 2020-12-07335Croque-Morts2As6LBoxScore
79 - 2020-12-08340As2Croque-Morts8WBoxScore
80 - 2020-12-09351Croque-Morts2Pacifiques de la route3LBoxScore
82 - 2020-12-11355Chiefs2Croque-Morts9WBoxScore
84 - 2020-12-13359Croque-Morts3Wolves2WBoxScore
86 - 2020-12-15370Banshees3Croque-Morts4WBoxScore
88 - 2020-12-17377Croque-Morts5Snipers1WBoxScore
90 - 2020-12-19385Riverman4Croque-Morts2LBoxScore
92 - 2020-12-21390Croque-Morts5As4WBoxScore
94 - 2020-12-23397Croque-Morts7Riverman2WBoxScore
96 - 2020-12-25402Spoonman's5Croque-Morts4LXBoxScore
98 - 2020-12-27413Snipers4Croque-Morts1LBoxScore
100 - 2020-12-29420Croque-Morts5Spoonman's7LBoxScore
101 - 2020-12-30427Ailes Rouges2Croque-Morts6WBoxScore
103 - 2021-01-01431Croque-Morts4Banshees2WBoxScore
105 - 2021-01-03441Citadelles1Croque-Morts4WBoxScore
106 - 2021-01-04447Croque-Morts6Ailes Rouges4WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
109 - 2021-01-07455Croque-Morts6Canadiens1WBoxScore
110 - 2021-01-08457Isotopes6Croque-Morts4LBoxScore
112 - 2021-01-10466Isotopes5Croque-Morts4LBoxScore
113 - 2021-01-11473Croque-Morts5As3WBoxScore
115 - 2021-01-13479As3Croque-Morts2LBoxScore
116 - 2021-01-14490Croque-Morts3Pacifiques de la route5LBoxScore
117 - 2021-01-15494Croque-Morts5Isotopes0WBoxScore
118 - 2021-01-16499Citadelles1Croque-Morts5WBoxScore
119 - 2021-01-17505Croque-Morts5Citadelles4WBoxScore
120 - 2021-01-18511Croque-Morts6Snipers3WBoxScore
121 - 2021-01-19517Wolves0Croque-Morts3WBoxScore
122 - 2021-01-20523Croque-Morts6Riverman2WBoxScore
124 - 2021-01-22530Spoonman's2Croque-Morts4WBoxScore
125 - 2021-01-23534Croque-Morts3Citadelles5LBoxScore
126 - 2021-01-24540Croque-Morts1Snipers5LBoxScore
127 - 2021-01-25546Isotopes3Croque-Morts5WBoxScore
130 - 2021-01-28557Isotopes2Croque-Morts1LXBoxScore
134 - 2021-02-01572Banshees2Croque-Morts4WBoxScore



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
1,263,405$ 1,184,200$ 1,184,200$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,184,200$ 1,263,405$ 28 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 9,406$ 9,406$




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