IceCaps

GP: 48 | W: 34 | L: 10 | OTL: 4 | P: 72
GF: 138 | GA: 85 | PP%: 13.57% | PK%: 89.70%
GM : Luc Belanger | Morale : 50 | Team Overall : 61
Next Games #735 vs Bears
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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 SP
1Curtis McKenzieX100.007475737075717269506270686756576950640
2Brandon PirriXX100.006967746867747669806071686764646950640
3Noel AcciariX100.009057947074647759445270832557577050640
4Nick LappinX100.006865767565838866505869636648486850630
5Marcus FolignoXXX100.008980747383579661406559602569696450630
6Phil VaroneXX100.007266856866848867806962645944446750630
7Matt LoritoXX100.007164866664747765506265636244446650610
8Michael McCarronXX100.009999537291528457735655672552526250610
9Julian MelchioriX100.008481906881667148253941663946465550600
10Justin HollXX100.007266866366768254254845614344445750590
Scratches
1Adam CracknellXXX100.007878797278838866805767716460616950660
2Charles HudonX100.008344847463668270497366592553536950640
3Daniel CarrX100.007143927870627267317170642556567050640
4Jack RoslovicX100.006742977468628166447470592546467050630
5Marcus SorensenXX100.007162947559577659445670722549496850610
6Kevin RooneyXX100.007672866872828858735557645444446350600
7C.J. Smith (R)X100.007366907066656664506362645944446550600
8Nicolas Aube-Kubel (R)X100.006867696767818662505962615944446450600
9Mike Vecchione (R)XX100.007468886368666862785862645944446450590
10Jeremy GregoireX100.006368516468717655694957565444445850560
11Daniel AudetteX100.006561736861535260755659595644446050560
12Manuel Wiederer (R)XX100.006964826564687254684756595344445850560
13Alexandre Fortin (R)X100.007164866664656853505646604444445650550
14Niki Petti (R)X100.007173666273656950634648594644445450540
15Jeremiah Addison (R)X100.006868676568353250503858585544445550500
16Rob O'GaraX100.007945937478678355255047792547476250650
17Dean KukanX100.005941936876607459256847582545455950590
18Cavan Fitzgerald (R)X100.007269806469606448253942594044445250550
19Simon Bourque (R)X100.007267826367647044253339583744445050540
TEAM AVERAGE100.00746581697067755951565864454949635060
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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
1Carey Price100.00678583846964566865668173766850680
2Aaron Dell100.00755453687673667784759548487250670
Scratches
1Casey DeSmith100.00726461668064737180726545457150660
2Mike Condon100.00706665777861536669694359596650650
3Collin Delia (R)100.00555468755557556057573044445650560
TEAM AVERAGE100.0068656674726461687168635454675064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jacques Martin68547150456158CAN654500,000$


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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
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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")
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 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
1Nick LappinIceCaps (MTL)RW4838226021420127144268154314.18%10100220.897111861210000009144.07%5900131.20000001462
2Brandon PirriIceCaps (MTL)C/LW48278351610019118145111518.62%473315.28729361310003269164.40%91000000.9524000737
3Julian MelchioriIceCaps (MTL)D488243221101518040662412.12%66107622.434610481800002142220.00%000000.5900001471
4Charles HudonIceCaps (MTL)LW323202312140276460005.00%245714.310661281000000034.62%2600001.0000000021
5Marcus FolignoIceCaps (MTL)C/LW/RW48419231651510764815184.94%270514.7007720131000001046.15%3900000.6500100142
6Noel AcciariIceCaps (MTL)C489101912401671662813.64%64349.06000000001262045.49%45500000.8712000152
7Dean KukanIceCaps (MTL)D283121562201923150020.00%2751718.483361479000075100.00%000000.5800000113
8Michael McCarronIceCaps (MTL)C/RW4821214126010873043134.65%24058.4500000000000068.00%2500000.6900110002
9Curtis McKenzieIceCaps (MTL)LW48761312401251823128.54%34439.23000830000001148.57%3500000.5913000014
10Justin HollIceCaps (MTL)RW/D4821012116551151834585.88%3496620.14224301570001157020.00%000000.2500100223
11Matt LoritoIceCaps (MTL)LW/RW485510-1603125371513.51%32745.7100000000001033.33%2100000.7300000015
12Phil VaroneIceCaps (MTL)C/LW48369-160282952285.77%22775.7800011000000064.71%1700000.6500000001
13Cavan FitzgeraldIceCaps (MTL)D3512313655911318005.56%2051314.6710122900000100.00%000000.1200010020
Team Total or Average575112156268150450308596909674712411.58%181780813.582437612321032000742927756.58%158700130.6949321303433
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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
1Carey PriceIceCaps (MTL)48341040.9161.72289809839880100.76517480702
2Aaron DellIceCaps (MTL)10001.0000.00900010000.0000048000
Team Total or Average49341040.9161.71290809839890100.765174848702


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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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aaron DellIceCaps (MTL)G291989-05-04No205 Lbs6 ft0NoNoNo3UFAPro & Farm785,000$0$0$NoLink
Adam CracknellIceCaps (MTL)C/LW/RW331985-07-14No220 Lbs6 ft3NoNoNo4UFAPro & Farm750,000$0$0$NoLink
Alexandre FortinIceCaps (MTL)LW211997-02-25Yes175 Lbs6 ft0NoNoNo2ELCPro & Farm650,000$0$0$NoLink
Brandon PirriIceCaps (MTL)C/LW271991-04-10No186 Lbs6 ft0NoNoNo4RFAPro & Farm750,000$0$0$NoLink
C.J. SmithIceCaps (MTL)LW241994-12-01Yes185 Lbs5 ft11NoNoNo1ELCPro & Farm650,000$0$0$NoLink
Carey PriceIceCaps (MTL)G311987-08-16No226 Lbs6 ft3NoNoNo4UFAPro & Farm10,000,000$0$0$NoLink
Casey DeSmithIceCaps (MTL)G271991-08-13No181 Lbs6 ft0NoNoNo1RFAPro & Farm675,000$0$0$NoLink
Cavan FitzgeraldIceCaps (MTL)D221996-08-23Yes186 Lbs6 ft0NoNoNo2ELCPro & Farm650,000$0$0$NoLink
Charles HudonIceCaps (MTL)LW241994-06-23No195 Lbs5 ft10NoNoNo2ELCPro & Farm850,000$0$0$NoLink
Collin DeliaIceCaps (MTL)G241994-06-20Yes190 Lbs6 ft2NoNoNo2ELCPro & Farm875,000$0$0$NoLink
Curtis McKenzieIceCaps (MTL)LW271991-02-22No205 Lbs6 ft2NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Daniel AudetteIceCaps (MTL)C221996-05-05No176 Lbs5 ft8NoNoNo2ELCPro & Farm500,000$0$0$NoLink
Daniel CarrIceCaps (MTL)LW271991-11-01No188 Lbs6 ft0NoNoNo1RFAPro & Farm725,000$0$0$NoLink
Dean KukanIceCaps (MTL)D251993-07-07No196 Lbs6 ft2NoNoNo1ELCPro & Farm675,000$0$0$NoLink
Jack RoslovicIceCaps (MTL)C211997-01-28No187 Lbs6 ft1NoNoNo2ELCPro & Farm900,000$0$0$NoLink
Jeremiah AddisonIceCaps (MTL)LW221996-10-21Yes182 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Jeremy GregoireIceCaps (MTL)C231995-09-04No193 Lbs6 ft0NoNoNo1ELCPro & Farm500,000$0$0$NoLink
Julian MelchioriIceCaps (MTL)D271991-12-06No214 Lbs6 ft5NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Justin HollIceCaps (MTL)RW/D261992-01-30No170 Lbs6 ft2NoNoNo1ELCPro & Farm875,000$0$0$NoLink
Kevin RooneyIceCaps (MTL)C/LW251993-05-21No190 Lbs6 ft2NoNoNo1ELCPro & Farm650,000$0$0$NoLink
Manuel WiedererIceCaps (MTL)C/RW221996-11-21Yes170 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Marcus FolignoIceCaps (MTL)C/LW/RW271991-08-10No228 Lbs6 ft3NoNoNo1RFAPro & Farm1,900,000$0$0$NoLink
Marcus SorensenIceCaps (MTL)LW/RW261992-04-07No175 Lbs5 ft11NoNoNo2ELCPro & Farm700,000$0$0$NoLink
Matt LoritoIceCaps (MTL)LW/RW281990-07-03No170 Lbs5 ft9NoNoNo3UFAPro & Farm750,000$0$0$NoLink
Michael McCarronIceCaps (MTL)C/RW231995-03-06No231 Lbs6 ft6NoNoNo1ELCPro & Farm900,000$0$0$NoLink
Mike CondonIceCaps (MTL)G281990-04-26No197 Lbs6 ft2NoNoNo3UFAPro & Farm950,000$0$0$NoLink
Mike VecchioneIceCaps (MTL)C/RW251993-02-25Yes194 Lbs5 ft10NoNoNo1ELCPro & Farm675,000$0$0$NoLink
Nick LappinIceCaps (MTL)RW261992-11-01No174 Lbs6 ft1NoNoNo1ELCPro & Farm650,000$0$0$NoLink
Nicolas Aube-KubelIceCaps (MTL)RW221996-05-09Yes187 Lbs5 ft11NoNoNo2ELCPro & Farm800,000$0$0$NoLink
Niki PettiIceCaps (MTL)C221996-08-13Yes184 Lbs5 ft11NoNoNo2ELCPro & Farm650,000$0$0$NoLink
Noel AcciariIceCaps (MTL)C261992-03-31No208 Lbs5 ft10NoNoNo2ELCPro & Farm725,000$0$0$NoLink
Phil VaroneIceCaps (MTL)C/LW281990-12-03No193 Lbs5 ft10NoNoNo4UFAPro & Farm725,000$0$0$NoLink
Rob O'GaraIceCaps (MTL)D251993-07-06No207 Lbs6 ft4NoNoNo2ELCPro & Farm900,000$0$0$NoLink
Simon BourqueIceCaps (MTL)D221997-01-12Yes183 Lbs6 ft0NoNoNo3ELCPro & Farm500,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3425.21193 Lbs6 ft12.031,018,676$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick Lappin40122
2Brandon PirriMarcus Foligno30122
3Curtis McKenzieNoel AcciariMichael McCarron20122
4Phil VaroneMatt Lorito10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Julian Melchiori40122
2Justin Holl30122
320122
4Julian Melchiori10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick Lappin60122
2Brandon PirriMarcus Foligno40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Julian Melchiori60122
2Justin Holl40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Brandon PirriNoel Acciari40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Julian Melchiori60122
2Justin Holl40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Julian Melchiori60122
240122Justin Holl40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Brandon PirriNoel Acciari40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Julian Melchiori60122
2Justin Holl40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick LappinJulian Melchiori
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nick LappinJulian Melchiori
Extra Forwards
Normal PowerPlayPenalty Kill
Curtis McKenzie, , Phil VaroneCurtis McKenzie, Phil Varone
Extra Defensemen
Normal PowerPlayPenalty Kill
, Justin Holl, Justin Holl,
Penalty Shots
, , Brandon Pirri, Noel Acciari,
Goalie
#1 : Carey Price, #2 : Aaron Dell


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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
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
1Admirals312000004402020000014-31100000030320.3334711014848386693894334212540332581417.14%15193.33%0760145452.27%680137249.56%33364751.47%12118801146331553275
2Americans3120000058-3000000000003120000058-320.3335101501484838679389433421258720457810220.00%19478.95%0760145452.27%680137249.56%33364751.47%12118801146331553275
3Barracuda211000002201010000012-11100000010120.5002460148483865138943342125501849528112.50%17194.12%0760145452.27%680137249.56%33364751.47%12118801146331553275
4Bruins11000000413110000004130000000000021.00047110048483862938943342125112818600.00%40100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
5Checkers11000000211110000002110000000000021.000246004848386343894334212518415224125.00%50100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
6Comets531000101385311000106512200000073480.80013193202484838613138943342125109354410330516.67%19384.21%0760145452.27%680137249.56%33364751.47%12118801146331553275
7Falcons11000000606000000000001100000060621.000611170148483863138943342125846168112.50%30100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
8Griffins3300000012391100000020222000000103761.000121931014848386703894334212560182483700.00%11190.91%0760145452.27%680137249.56%33364751.47%12118801146331553275
9Gulls11000000413000000000001100000041321.0004711004848386323894334212516513188225.00%4175.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
10Heat3200100012663200100012660000000000061.0001221330048483865238943342125601540581100.00%17288.24%0760145452.27%680137249.56%33364751.47%12118801146331553275
11Icehogs22000000734000000000002200000073441.000710170048483864638943342125351110398337.50%5260.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
12Marlies31100010853000000000003110001085340.667813210048483866938943342125611954961516.67%25292.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
13Penguins11000000202110000002020000000000021.0002460148483863638943342125227424300.00%20100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
14Pirates22000000633000000000002200000063341.0006121801484838659389433421254613225010330.00%11190.91%0760145452.27%680137249.56%33364751.47%12118801146331553275
15Rampage330000001064220000007431100000032161.00010162600484838610138943342125681940761715.88%14378.57%0760145452.27%680137249.56%33364751.47%12118801146331553275
16Reign210000016421000000112-11100000052330.750610160048483864138943342125271826467228.57%13192.31%0760145452.27%680137249.56%33364751.47%12118801146331553275
17Senators11000000321000000000001100000032121.000347004848386213894334212518112267228.57%60100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
18Sound Tigers11000000312000000000001100000031221.00035800484838621389433421251851414200.00%70100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
19Stars31100010972201000106601100000031240.667915240048483867738943342125541526651516.67%100100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
Total48301001232138855323115012225944152519500010794138720.75013823537309484838612523894334212598927554011052213013.57%2332489.70%0760145452.27%680137249.56%33364751.47%12118801146331553275
21Wild1000000123-11000000123-10000000000010.5002460048483862338943342125144427500.00%20100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
22Wolf Pack1010000034-1000000000001010000034-100.00036900484838624389433421254088225240.00%30100.00%0760145452.27%680137249.56%33364751.47%12118801146331553275
23Wolves31100100981210001007521010000023-130.5009172600484838691389433421257915287313215.38%13192.31%0760145452.27%680137249.56%33364751.47%12118801146331553275
24Wolves21000100651210001006510000000000030.75061016004848386653894334212548161641800.00%8187.50%0760145452.27%680137249.56%33364751.47%12118801146331553275
_Since Last GM Reset48301001232138855323115012225944152519500010794138720.75013823537309484838612523894334212598927554011052213013.57%2332489.70%0760145452.27%680137249.56%33364751.47%12118801146331553275
_Vs Conference372280123110570351994012215139121813400010543123550.743105177282064848386966389433421257792074008691672011.98%1742187.93%0760145452.27%680137249.56%33364751.47%12118801146331553275
_Vs Division1574010204131109310101023221643000101899200.6674169110014848386407389433421252906714033872811.11%59788.14%0760145452.27%680137249.56%33364751.47%12118801146331553275

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4872L11382353731252989275540110509
All Games
GPWLOTWOTL SOWSOLGFGA
483010123213885
Home Games
GPWLOTWOTL SOWSOLGFGA
2311512225944
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2519500107941
Last 10 Games
WLOTWOTL SOWSOL
520120
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2213013.57%2332489.70%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
389433421254848386
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
760145452.27%680137249.56%33364751.47%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12118801146331553275


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2018-10-024Wolves3IceCaps2LXBoxScore
4 - 2018-10-0529IceCaps2Comets0WBoxScore
6 - 2018-10-0741IceCaps2Americans0WBoxScore
7 - 2018-10-0853Checkers1IceCaps2WBoxScore
10 - 2018-10-1172Heat3IceCaps4WXBoxScore
12 - 2018-10-1386IceCaps3Americans4LBoxScore
15 - 2018-10-16105Comets3IceCaps2LBoxScore
17 - 2018-10-18124IceCaps3Wolf Pack4LBoxScore
19 - 2018-10-20134Rampage3IceCaps5WBoxScore
20 - 2018-10-21147IceCaps3Marlies2WXXBoxScore
23 - 2018-10-24167Wild3IceCaps2LXXBoxScore
25 - 2018-10-26177IceCaps5Comets3WBoxScore
27 - 2018-10-28194Admirals2IceCaps0LBoxScore
29 - 2018-10-30208IceCaps5Icehogs2WBoxScore
31 - 2018-11-01222IceCaps6Griffins1WBoxScore
33 - 2018-11-03234Comets0IceCaps1WBoxScore
35 - 2018-11-05252IceCaps5Reign2WBoxScore
37 - 2018-11-07266Reign2IceCaps1LXXBoxScore
39 - 2018-11-09277IceCaps1Barracuda0WBoxScore
41 - 2018-11-11294Heat2IceCaps5WBoxScore
43 - 2018-11-13306IceCaps3Senators2WBoxScore
46 - 2018-11-16325IceCaps3Admirals0WBoxScore
47 - 2018-11-17335Barracuda2IceCaps1LBoxScore
50 - 2018-11-20359Admirals2IceCaps1LBoxScore
52 - 2018-11-22373IceCaps3Sound Tigers1WBoxScore
54 - 2018-11-24387Heat1IceCaps3WBoxScore
56 - 2018-11-26403IceCaps3Rampage2WBoxScore
58 - 2018-11-28416IceCaps0Marlies1LBoxScore
60 - 2018-11-30429Griffins0IceCaps2WBoxScore
62 - 2018-12-02443IceCaps3Stars1WBoxScore
64 - 2018-12-04457Rampage1IceCaps2WBoxScore
66 - 2018-12-06474IceCaps0Americans4LBoxScore
68 - 2018-12-08487Penguins0IceCaps2WBoxScore
70 - 2018-12-10503IceCaps2Icehogs1WBoxScore
72 - 2018-12-12511IceCaps4Griffins2WBoxScore
73 - 2018-12-13524Bruins1IceCaps4WBoxScore
76 - 2018-12-16542IceCaps6Falcons0WBoxScore
78 - 2018-12-18555Wolves2IceCaps5WBoxScore
81 - 2018-12-21577IceCaps4Pirates3WBoxScore
82 - 2018-12-22587Wolves3IceCaps2LXBoxScore
86 - 2018-12-26606IceCaps2Wolves3LBoxScore
87 - 2018-12-27618Wolves2IceCaps4WBoxScore
91 - 2018-12-31643Comets2IceCaps3WXXBoxScore
93 - 2019-01-02659IceCaps2Pirates0WBoxScore
95 - 2019-01-04673Stars2IceCaps3WXXBoxScore
96 - 2019-01-05685IceCaps5Marlies2WBoxScore
98 - 2019-01-07701IceCaps4Gulls1WBoxScore
100 - 2019-01-09711Stars4IceCaps3LBoxScore
103 - 2019-01-12735IceCaps-Bears-
104 - 2019-01-13743Monsters-IceCaps-
107 - 2019-01-16766Pirates-IceCaps-
109 - 2019-01-18782IceCaps-Monsters-
111 - 2019-01-20796Phantoms-IceCaps-
114 - 2019-01-23821IceCaps-Condors-
115 - 2019-01-24828IceCaps-Wild-
117 - 2019-01-26834Americans-IceCaps-
120 - 2019-01-29861Icehogs-IceCaps-
124 - 2019-02-02886IceCaps-Condors-
125 - 2019-02-03895Marlies-IceCaps-
127 - 2019-02-05918IceCaps-Checkers-
128 - 2019-02-06924Checkers-IceCaps-
131 - 2019-02-09949Falcons-IceCaps-
134 - 2019-02-12967IceCaps-Moose-
136 - 2019-02-14977Wild-IceCaps-
138 - 2019-02-16990IceCaps-Wolves-
141 - 2019-02-191010Crunch-IceCaps-
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2019-02-221031IceCaps-Wolf Pack-
146 - 2019-02-241043Marlies-IceCaps-
148 - 2019-02-261057IceCaps-Heat-
150 - 2019-02-281068IceCaps-Devils-
152 - 2019-03-021079Wolves-IceCaps-
156 - 2019-03-061105Americans-IceCaps-
159 - 2019-03-091128Condors-IceCaps-
161 - 2019-03-111140IceCaps-Heat-
166 - 2019-03-161161Moose-IceCaps-
167 - 2019-03-171174IceCaps-Comets-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,383,624$ 3,463,500$ 3,014,056$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,077,375$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 67 23,453$ 1,571,351$




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
2018483010012321388553231150122259441525195000107941387213823537309484838612523894334212598927554011052213013.57%2332489.70%0760145452.27%680137249.56%33364751.47%12118801146331553275
Total Regular Season483010012321388553231150122259441525195000107941387213823537309484838612523894334212598927554011052213013.57%2332489.70%0760145452.27%680137249.56%33364751.47%12118801146331553275