´╗┐

IceCaps

GP: 24 | W: 16 | L: 8 | OTL: 0 | P: 32
GF: 76 | GA: 55 | PP%: 18.55% | PK%: 83.33%
GM : Luc Belanger | Morale : 50 | Team Overall : 60
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
1Charles HudonX100.008344847463668270497366592553536950640
2Curtis McKenzieX100.007475737075717269506270686756576950640
3Daniel CarrX100.007143927870627267317170642556567050640
4Noel AcciariX100.009057947074647759445270832557577050640
5Nick LappinX100.006865767565838866505869636648486850630
6Marcus FolignoXXX100.008980747383579661406559602569696450630
7Phil VaroneXX100.007266856866848867806962645944446750630
8Jack RoslovicX100.006742977468628166447470592546467050630
9Marcus SorensenXX100.007162947559577659445670722549496850610
10Matt LoritoXX100.007164866664747765506265636244446650610
11Michael McCarronXX100.009999537291528457735655672552526250610
12Nicolas Aube-Kubel (R)X100.006867696767818662505962615944446450600
13Rob O'GaraX100.007945937478678355255047792547476250650
14Julian MelchioriX100.008481906881667148253941663946465550600
15Dean KukanX100.005941936876607459256847582545455950590
16Justin HollXX100.007266866366768254254845614344445750590
17Cavan Fitzgerald (R)X100.007269806469606448253942594044445250550
Scratches
1Brandon PirriXX100.006967746867747669806071686764646950640
2Kevin RooneyXX100.007672866872828858735557645444446350600
3C.J. Smith (R)X100.007366907066656664506362645944446550600
4Mike Vecchione (R)XX100.007468886368666862785862645944446450590
5Jeremy GregoireX100.006368516468717655694957565444445850560
6Daniel AudetteX100.006561736861535260755659595644446050560
7Manuel Wiederer (R)XX100.006964826564687254684756595344445850560
8Alexandre Fortin (R)X100.007164866664656853505646604444445650550
9Niki Petti (R)X100.007173666273656950634648594644445450540
10Jeremiah Addison (R)X100.006868676568353250503858585544445550500
11Simon Bourque (R)X100.007267826367647044253339583744445050540
TEAM AVERAGE100.00746481697066755950565863444848625060
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
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$


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 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)RW2413213463210557513139959.92%151321.416131937112000004051.43%3500001.3200020812
2Curtis McKenzieIceCaps (MTL)LW245111611404354892510.42%42379.88022219000000053.13%3200001.3500000120
3Noel AcciariIceCaps (MTL)C249514110073947133619.15%52199.13000000001131047.91%26300001.2800000241
4Marcus FolignoIceCaps (MTL)C/LW/RW24369232087506919704.35%539416.451012077000000045.45%2200000.4600000133
5Michael McCarronIceCaps (MTL)C/RW24279112404022238188.70%22048.5400000000000062.50%800000.8800000013
6Matt LoritoIceCaps (MTL)LW/RW2442600013233442511.76%31456.0700000000002050.00%600000.8200000021
7Justin HollIceCaps (MTL)RW/D24235-1275551353640.00%1434914.56112310000011000.00%000000.2900001020
8Phil VaroneIceCaps (MTL)C/LW2414501201417257144.00%01456.0600000000000040.00%500000.6900000011
9Brandon PirriIceCaps (MTL)C/LW1000000021110.00%11111.2800003000000069.23%1300000.0000000000
Team Total or Average193395998401311527527638310329010.18%35222111.5181624622230001257049.48%38400000.8800021121611
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
1Carey PriceIceCaps (MTL)2416620.8942.22145963545110000.0000240411
2Aaron DellIceCaps (MTL)20000.9551.3046001220000.0000024000
Team Total or Average2616620.8972.19150663555330000.00002424411


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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aaron DellIceCaps (MTL)G301989-05-04No205 Lbs6 ft0NoNoNo3UFAPro & Farm785,000$0$0$NoLink
Alexandre FortinIceCaps (MTL)LW221997-02-25Yes175 Lbs6 ft0NoNoNo2ELCPro & Farm650,000$0$0$NoLink
Brandon PirriIceCaps (MTL)C/LW281991-04-10No186 Lbs6 ft0NoNoNo4UFAPro & 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)LW281991-02-22No205 Lbs6 ft2NoNoNo1UFAPro & Farm700,000$0$0$NoLink
Daniel AudetteIceCaps (MTL)C231996-05-05No176 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)C221997-01-28No187 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/D271992-01-30No170 Lbs6 ft2NoNoNo1RFAPro & 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/RW271992-04-07No175 Lbs5 ft11NoNoNo2RFAPro & Farm700,000$0$0$NoLink
Matt LoritoIceCaps (MTL)LW/RW281990-07-03No170 Lbs5 ft9NoNoNo3UFAPro & Farm750,000$0$0$NoLink
Michael McCarronIceCaps (MTL)C/RW241995-03-06No231 Lbs6 ft6NoNoNo1ELCPro & Farm900,000$0$0$NoLink
Mike CondonIceCaps (MTL)G291990-04-26No197 Lbs6 ft2NoNoNo3UFAPro & Farm950,000$0$0$NoLink
Mike VecchioneIceCaps (MTL)C/RW261993-02-25Yes194 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)C271992-03-31No208 Lbs5 ft10NoNoNo2RFAPro & 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
3325.33192 Lbs6 ft01.971,026,818$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick Lappin40122
2Marcus Foligno30122
3Curtis McKenzieNoel AcciariMichael McCarron20122
4Phil VaroneMatt Lorito10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Justin Holl30122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nick Lappin60122
2Marcus Foligno40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Justin Holl40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Noel Acciari40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Justin Holl40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Justin Holl40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Noel Acciari40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Justin Holl40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nick Lappin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nick Lappin
Extra Forwards
Normal PowerPlayPenalty Kill
Curtis McKenzie, , Phil VaroneCurtis McKenzie, Phil Varone
Extra Defensemen
Normal PowerPlayPenalty Kill
, Justin Holl, Justin Holl,
Penalty Shots
, , , Noel Acciari,
Goalie
#1 : Carey Price, #2 : Aaron Dell


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
1Marlies743000001517-24310000011833120000049-580.57115264101262821117621021523617133357815636411.11%33778.79%035876546.80%31266347.06%14835042.29%624460605170278134
2Reign743000002617942200000181263210000085380.57126487400262821118821021523617151427015230826.67%32681.25%035876546.80%31266347.06%14835042.29%624460605170278134
Total241680000076552113940000045291611740000031265320.66776138214032628211678210215236175331492675741242318.55%1202083.33%035876546.80%31266347.06%14835042.29%624460605170278134
4Wolves440000001578220000006422200000093681.00015264101262821113321021523617106324412534411.76%21290.48%035876546.80%31266347.06%14835042.29%624460605170278134
5Wolves642000002014632100000105532100000109180.66720385801262821118121021523617143407514124729.17%34585.29%035876546.80%31266347.06%14835042.29%624460605170278134
_Since Last GM Reset241680000076552113940000045291611740000031265320.66776138214032628211678210215236175331492675741242318.55%1202083.33%035876546.80%31266347.06%14835042.29%624460605170278134
_Vs Conference1712500000503812972000002717108530000023212240.706509014003262821149021021523617382107197422941515.96%881484.09%035876546.80%31266347.06%14835042.29%624460605170278134
_Vs Division443000001578231000006422120000093681.00015264101262821113321021523617106324412534411.76%21290.48%035876546.80%31266347.06%14835042.29%624460605170278134

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2432W17613821467853314926757403
All Games
GPWLOTWOTL SOWSOLGFGA
2416800007655
Home Games
GPWLOTWOTL SOWSOLGFGA
139400004529
Visitor Games
GPWLOTWOTL SOWSOLGFGA
117400003126
Last 10 Games
WLOTWOTL SOWSOL
620200
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1242318.55%1202083.33%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
210215236172628211
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
35876546.80%31266347.06%14835042.29%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
624460605170278134


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
2 - 2018-10-035Wolves2IceCaps3WXBoxScore
4 - 2018-10-0513Wolves2IceCaps3WBoxScore
6 - 2018-10-0721IceCaps7Wolves3WBoxScore
8 - 2018-10-0929IceCaps2Wolves0WBoxScore
16 - 2018-10-1759Marlies3IceCaps1LBoxScore
18 - 2018-10-1963Marlies2IceCaps3WBoxScore
20 - 2018-10-2167IceCaps1Marlies5LBoxScore
22 - 2018-10-2371IceCaps2Marlies0WBoxScore
24 - 2018-10-2575Marlies2IceCaps3WBoxScore
26 - 2018-10-2779IceCaps1Marlies4LBoxScore
28 - 2018-10-2983Marlies1IceCaps4WBoxScore
30 - 2018-10-3186Wolves0IceCaps4WBoxScore
32 - 2018-11-0288Wolves2IceCaps4WBoxScore
34 - 2018-11-0490IceCaps1Wolves3LBoxScore
36 - 2018-11-0692IceCaps4Wolves2WBoxScore
38 - 2018-11-0894Wolves3IceCaps2LBoxScore
40 - 2018-11-1096IceCaps5Wolves4WBoxScore
43 - 2018-11-1399Reign6IceCaps5LXBoxScore
44 - 2018-11-14100Reign4IceCaps3LXBoxScore
45 - 2018-11-15101IceCaps3Reign1WBoxScore
46 - 2018-11-16102IceCaps3Reign1WBoxScore
47 - 2018-11-17103Reign1IceCaps5WBoxScore
48 - 2018-11-18104IceCaps2Reign3LBoxScore
49 - 2018-11-19105Reign1IceCaps5WBoxScore



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
25 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 3,388,500$ 2,939,056$ 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
20182416800000765521139400000452916117400000312653276138214032628211678210215236175331492675741242318.55%1202083.33%035876546.80%31266347.06%14835042.29%624460605170278134
Total Playoff2416800000765521139400000452916117400000312653276138214032628211678210215236175331492675741242318.55%1202083.33%035876546.80%31266347.06%14835042.29%624460605170278134