Crunch

GP: 7 | W: 4 | L: 3 | OTL: 0 | P: 8
GF: 16 | GA: 21 | PP%: 13.64% | PK%: 85.00%
GM : Stephane Fournier | Morale : 75 | Team Overall : 60
Next Games #130 vs Eagles
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
1Michael ChaputX100.007061825981745859685959605971666075620
2Anthony GrecoX100.005942736250839560595962566464604875610
3Danick MartelX100.005644686353849261645963566563594975610
4Rocco GrimaldiX100.005743726253838360636260566165618075600
5Stefan MatteauX100.006645665881709557625759566064608375600
6Mike BlundenX100.006248575785647256595751565569655275590
7Colin MarkisonX100.005442725763679556595956565465614875590
8Ben HolmstromX100.006148545674689555655553565669654075590
9Olivier ArchambaultX100.005243716162636759645959566165616475580
10Mike LiambasX100.005650565566607454645457565569654275570
11Andrew CherniwchanX100.005644675562636454595261565869654275570
12Brett GallantX100.005146635269546051645258565169654175560
13Tyler WotherspoonX100.006445655982788258306457615671626875620
14Gustav OlofssonX100.006235816583735464306860626267647175620
15Dalton ProutX100.007184805589755455305554545575684175610
16Dakota MermisX100.005644705770639556306056565464604975590
17Petter GranbergX100.006544685479529553305555565265616375590
18Andreas EnglundX100.006346625383539552305553565162588175590
Scratches
1MacKenzie WeegarX100.007543826177777061306261626167644875640
2Nikita NesterovX100.007041836471816264306960535671625375630
3Jyrki JokipakkaX100.005956886186776160306557545273634275610
4Kyle CapobiancoX100.005443716274617760306555565260567475590
TEAM AVERAGE100.00614771597269775848595857576762567560
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
1Callum Booth (R)100.00646866766362646362646366707575630
2Adam Carlson (R)100.00616664756059616059616070745475610
Scratches
1Charles Williams100.00626163706160626160626173775375620
TEAM AVERAGE100.0062656474616062616062617074617562
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Hartley67627168878249CAN571550,000$


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
1Tyler WotherspoonCrunch (TBL)D705536014914370.00%516723.97022523000016000.00%000000.6000000000
2Danick MartelCrunch (TBL)LW7325320111018101416.67%114821.261011220000120041.67%1200000.6701000000
3Gustav OlofssonCrunch (TBL)D6134420117163106.25%414624.491011117000011000.00%000000.5400000001
4Anthony GrecoCrunch (TBL)RW7213020611267167.69%115121.570002210000110133.33%900000.4011000000
5Olivier ArchambaultCrunch (TBL)LW7033-400812122180.00%111816.95022119000020055.56%900000.5100000000
6Joe ColborneLightningC11232000221150.00%02424.2300002000021076.19%2100002.4800000100
7J.T. BrownLightningRW11122003463716.67%02424.4800002000020071.43%700001.6300000010
8Michael ChaputCrunch (TBL)C71121951919174165.88%215321.950002210000180058.02%21200000.2611001000
9Colin MarkisonCrunch (TBL)RW7112-4204914197.14%19213.2010135000030057.14%700000.4300000000
10Brett GallantCrunch (TBL)LW62021000140050.00%0457.660000000008000.00%200000.8700000010
11Andrew CherniwchanCrunch (TBL)RW5022100241150.00%0336.7700000000000050.00%200001.1800000000
12Jyrki JokipakkaCrunch (TBL)D2011-100022020.00%23718.940000500004000.00%000000.5300000000
13Mike BlundenCrunch (TBL)RW6011-58013512370.00%09515.94000112000010044.44%900000.2100000000
14Rocco GrimaldiCrunch (TBL)C7101-420918165176.25%313118.770003170000131053.05%16400000.1500000001
15Petter GranbergCrunch (TBL)D7011-3801757340.00%1213218.94000311000015000.00%000000.1500000000
16Ben HolmstromCrunch (TBL)C710105521181212.50%0476.8500000000071054.55%4400000.4200100001
17Kyle CapobiancoCrunch (TBL)D2011200511020.00%13417.360000000003000.00%000000.5800000000
18Andreas EnglundCrunch (TBL)D7011-9201136010.00%69713.960000100005000.00%000000.2000000000
19Stefan MatteauCrunch (TBL)C7101-700101112188.33%07610.9600000000000051.81%8300000.2600000010
20Mike LiambasCrunch (TBL)LW7000-500848250.00%08412.1100000000010075.00%400000.0000000000
21Dakota MermisCrunch (TBL)D6000-720874110.00%99115.2000015000012000.00%000000.0000000000
22Dalton ProutCrunch (TBL)D7000-21351876120.00%713519.30000418000011000.00%000000.0000010000
Team Total or Average126152641-326315169172212521547.08%55207316.463473720800001663155.21%58500000.4023111133
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
1Callum BoothCrunch (TBL)63200.9133.0034000171960000.667352010
2Adam CarlsonCrunch (TBL)21100.8462.7986014260000.000025100
Team Total or Average84300.9052.9642601212220000.667377110


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
Adam CarlsonCrunch (TBL)G231994-12-31Yes196 Lbs6 ft3NoNoNo3ELCPro & Farm550,000$0$0$NoLink / NHL Link
Andreas EnglundCrunch (TBL)D211996-12-31No189 Lbs6 ft3NoNoNo3ELCPro & Farm925,000$0$0$NoLink / NHL Link
Andrew CherniwchanCrunch (TBL)RW281989-12-31No176 Lbs5 ft11NoNoNo3UFAPro & Farm925,000$0$0$NoLink / NHL Link
Anthony GrecoCrunch (TBL)RW241993-12-31No172 Lbs5 ft1NoNoNo1RFAPro & Farm600,000$0$0$NoLink / NHL Link
Ben HolmstromCrunch (TBL)C301987-12-31No201 Lbs6 ft1NoNoNo3UFAPro & Farm550,000$0$0$NoLink / NHL Link
Brett GallantCrunch (TBL)LW291988-12-31No191 Lbs6 ft0NoNoNo3UFAPro & Farm550,000$0$0$NoLink / NHL Link
Callum BoothCrunch (TBL)G201997-12-31Yes191 Lbs6 ft4NoNoNo3ELCPro & Farm800,000$0$0$NoLink / NHL Link
Charles WilliamsCrunch (TBL)G251992-12-31No194 Lbs5 ft10NoNoNo3RFAPro & Farm550,000$0$0$NoLink / NHL Link
Colin MarkisonCrunch (TBL)RW251992-12-31No185 Lbs5 ft10NoNoNo3RFAPro & Farm550,000$0$0$NoLink / NHL Link
Dakota MermisCrunch (TBL)D231994-12-31No195 Lbs6 ft0NoNoNo1ELCPro & Farm550,000$0$0$NoLink / NHL Link
Dalton ProutCrunch (TBL)D271990-12-31No230 Lbs6 ft3NoNoNo1RFAPro & Farm960,000$0$0$NoLink / NHL Link
Danick MartelCrunch (TBL)LW231994-12-31No162 Lbs5 ft8NoNoNo3ELCPro & Farm800,000$0$0$NoLink / NHL Link
Gustav OlofssonCrunch (TBL)D231994-12-31No196 Lbs6 ft3NoNoYes3ELCPro & Farm925,000$0$0$NoLink / NHL Link
Jyrki JokipakkaCrunch (TBL)D261991-12-31No215 Lbs6 ft3NoNoYes1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Kyle CapobiancoCrunch (TBL)D201997-12-31No196 Lbs6 ft1NoNoYes3ELCPro & Farm700,000$0$0$NoLink / NHL Link
MacKenzie WeegarCrunch (TBL)D231994-12-31No212 Lbs6 ft0NoNoNo1ELCPro & Farm600,000$0$0$NoLink / NHL Link
Michael ChaputCrunch (TBL)C251992-12-31No204 Lbs6 ft2NoNoNo1RFAPro & Farm580,000$0$0$NoLink / NHL Link
Mike BlundenCrunch (TBL)RW311986-12-31No217 Lbs6 ft4NoNoNo3UFAPro & Farm550,000$0$0$NoLink / NHL Link
Mike LiambasCrunch (TBL)LW281989-12-31No196 Lbs5 ft10NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Nikita Nesterov (1 Way Contract)Crunch (TBL)D241993-12-31No191 Lbs5 ft11NoNoYes1RFAPro & Farm1,000,000$1,000,000$898,876$NoLink / NHL Link
Olivier ArchambaultCrunch (TBL)LW241993-12-31No177 Lbs5 ft11NoNoNo3RFAPro & Farm550,000$0$0$NoLink / NHL Link
Petter GranbergCrunch (TBL)D251992-12-31No200 Lbs6 ft3NoNoNo2RFAPro & Farm550,000$0$0$NoLink / NHL Link
Rocco GrimaldiCrunch (TBL)C241993-12-31No180 Lbs5 ft6NoNoNo1RFAPro & Farm550,000$0$0$NoLink / NHL Link
Stefan MatteauCrunch (TBL)C231994-12-31No220 Lbs6 ft2NoNoNo1ELCPro & Farm550,000$0$0$NoLink / NHL Link
Tyler WotherspoonCrunch (TBL)D241993-12-31No207 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.72196 Lbs6 ft02.16691,600$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Danick MartelMichael ChaputAnthony Greco40122
2Olivier ArchambaultRocco GrimaldiMike Blunden30122
3Mike LiambasStefan MatteauColin Markison20122
4Brett GallantBen HolmstromAndrew Cherniwchan10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav OlofssonTyler Wotherspoon40122
2Dalton ProutPetter Granberg30122
3Andreas EnglundDakota Mermis20122
4Gustav OlofssonTyler Wotherspoon10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Danick MartelMichael ChaputAnthony Greco60122
2Olivier ArchambaultRocco GrimaldiMike Blunden40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav OlofssonTyler Wotherspoon60122
2Dalton ProutPetter Granberg40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael ChaputDanick Martel60122
2Rocco GrimaldiAnthony Greco40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav OlofssonTyler Wotherspoon60122
2Dalton ProutPetter Granberg40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Chaput60122Gustav OlofssonTyler Wotherspoon60122
2Danick Martel40122Dalton ProutPetter Granberg40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael ChaputDanick Martel60122
2Rocco GrimaldiAnthony Greco40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Gustav OlofssonTyler Wotherspoon60122
2Dalton ProutPetter Granberg40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Danick MartelMichael ChaputAnthony GrecoGustav OlofssonTyler Wotherspoon
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Danick MartelMichael ChaputAnthony GrecoGustav OlofssonTyler Wotherspoon
Extra Forwards
Normal PowerPlayPenalty Kill
Stefan Matteau, Colin Markison, Ben HolmstromStefan Matteau, Colin MarkisonBen Holmstrom
Extra Defensemen
Normal PowerPlayPenalty Kill
Andreas Englund, Dakota Mermis, Dalton ProutAndreas EnglundDakota Mermis, Dalton Prout
Penalty Shots
Michael Chaput, Danick Martel, Rocco Grimaldi, Anthony Greco, Stefan Matteau
Goalie
#1 : Callum Booth, #2 : Adam Carlson
Custom OT Lines Forwards
Michael Chaput, Danick Martel, Rocco Grimaldi, Anthony Greco, Stefan Matteau, Mike Blunden, Mike Blunden, Colin Markison, Ben Holmstrom, Olivier Archambault, Andrew Cherniwchan
Custom OT Lines Defensemen
Gustav Olofsson, Tyler Wotherspoon, Dalton Prout, Petter Granberg, Andreas Englund


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
1Checkers1010000024-21010000024-20000000000000.0002350083333065717272084305120.00%2150.00%011924249.17%14022961.14%6410660.38%161110170539445
2Comets10000010321100000103210000000000021.000347008333266571727401010232150.00%20100.00%011924249.17%14022961.14%6410660.38%161110170539445
3Griffins11000000321110000003210000000000021.0003690083334065717272871322200.00%40100.00%011924249.17%14022961.14%6410660.38%161110170539445
4IceHogs1010000025-3000000000001010000025-300.00024600833328657172742121328500.00%40100.00%011924249.17%14022961.14%6410660.38%161110170539445
5Monsters11000000202110000002020000000000021.000235018333236571727175628300.00%20100.00%011924249.17%14022961.14%6410660.38%161110170539445
6Thunderbirds10001000431100010004310000000000021.00046100083333965717272436253133.33%3166.67%011924249.17%14022961.14%6410660.38%161110170539445
Total723010101621-5521010101411320200000210-880.5711626420183332126571727222556316922313.64%20385.00%011924249.17%14022961.14%6410660.38%161110170539445
8Wild1010000005-5000000000001010000005-500.00000000833326657172751101113200.00%3166.67%011924249.17%14022961.14%6410660.38%161110170539445
_Since Last GM Reset723010101621-5521010101411320200000210-880.5711626420183332126571727222556316922313.64%20385.00%011924249.17%14022961.14%6410660.38%161110170539445
_Vs Conference20001010752200010107520000000000041.00071017008333656571727641316485240.00%5180.00%011924249.17%14022961.14%6410660.38%161110170539445
_Vs Division20000010752200000107520000000000020.50071219008333796571727521019475120.00%7185.71%011924249.17%14022961.14%6410660.38%161110170539445

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
78L2162642212222556316901
All Games
GPWLOTWOTL SOWSOLGFGA
72310101621
Home Games
GPWLOTWOTL SOWSOLGFGA
52110101411
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2020000210
Last 10 Games
WLOTWOTL SOWSOL
430000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
22313.64%20385.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
65717278333
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
11924249.17%14022961.14%6410660.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
161110170539445


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
4 - 2018-10-0727Thunderbirds3Crunch4WXBoxScore
9 - 2018-10-1256Comets2Crunch3WXXBoxScore
10 - 2018-10-1369Monsters0Crunch2WBoxScore
13 - 2018-10-1683Checkers4Crunch2LBoxScore
15 - 2018-10-1896Griffins2Crunch3WBoxScore
17 - 2018-10-20107Crunch0Wild5LBoxScore
18 - 2018-10-21116Crunch2IceHogs5LBoxScore
21 - 2018-10-24130Crunch-Eagles-
23 - 2018-10-26147Crunch-Wolves-
24 - 2018-10-27148Crunch-Roadrunners-
27 - 2018-10-30177Devils-Crunch-
29 - 2018-11-01190Admirals-Crunch-
31 - 2018-11-03199Crunch-Rocket-
32 - 2018-11-04209Crunch-Senators-
34 - 2018-11-06222Condors-Crunch-
36 - 2018-11-08235Sound Tigers-Crunch-
38 - 2018-11-10252Senators-Crunch-
41 - 2018-11-13264Crunch-Americans-
43 - 2018-11-15284Crunch-Penguins-
45 - 2018-11-17300Crunch-Phantoms-
47 - 2018-11-19310Crunch-Admirals-
49 - 2018-11-21330Thunderbirds-Crunch-
50 - 2018-11-22344IceHogs-Crunch-
52 - 2018-11-24361Devils-Crunch-
54 - 2018-11-26374Gulls-Crunch-
56 - 2018-11-28387Americans-Crunch-
58 - 2018-11-30398Crunch-Thunderbirds-
60 - 2018-12-02414Crunch-Devils-
61 - 2018-12-03418Crunch-Griffins-
63 - 2018-12-05436Bruins-Crunch-
65 - 2018-12-07453Eagles-Crunch-
67 - 2018-12-09464Wolf Pack-Crunch-
70 - 2018-12-12485Marlies-Crunch-
73 - 2018-12-15511Crunch-Moose-
75 - 2018-12-17527Crunch-Comets-
77 - 2018-12-19534Crunch-Heat-
79 - 2018-12-21551Crunch-Condors-
81 - 2018-12-23576Phantoms-Crunch-
83 - 2018-12-25595Rocket-Crunch-
85 - 2018-12-27599Crunch-Gulls-
88 - 2018-12-30623Crunch-Reign-
90 - 2019-01-01642Crunch-Barracuda-
93 - 2019-01-04664Monsters-Crunch-
95 - 2019-01-06680Checkers-Crunch-
97 - 2019-01-08687Crunch-Americans-
98 - 2019-01-09702Crunch-Sound Tigers-
100 - 2019-01-11712Crunch-Stars-
102 - 2019-01-13732Marlies-Crunch-
104 - 2019-01-15749Barracuda-Crunch-
111 - 2019-01-22777Crunch-Penguins-
113 - 2019-01-24786Crunch-Sound Tigers-
114 - 2019-01-25796Crunch-Wolf Pack-
117 - 2019-01-28818Wolves-Crunch-
119 - 2019-01-30835Rampage-Crunch-
121 - 2019-02-01848Penguins-Crunch-
122 - 2019-02-02855Crunch-Thunderbirds-
124 - 2019-02-04872Heat-Crunch-
126 - 2019-02-06885Stars-Crunch-
128 - 2019-02-08901Rocket-Crunch-
130 - 2019-02-10910Crunch-Monsters-
131 - 2019-02-11923Crunch-Phantoms-
133 - 2019-02-13937Americans-Crunch-
137 - 2019-02-17965Reign-Crunch-
139 - 2019-02-19982Crunch-Wolf Pack-
140 - 2019-02-20985Crunch-Bruins-
142 - 2019-02-221007Senators-Crunch-
Trade Deadline --- Trades can’t be done after this day is simulated!
145 - 2019-02-251028Moose-Crunch-
147 - 2019-02-271043Wild-Crunch-
149 - 2019-03-011058Griffins-Crunch-
151 - 2019-03-031071Crunch-Marlies-
154 - 2019-03-061085Crunch-Griffins-
156 - 2019-03-081109Bears-Crunch-
158 - 2019-03-101121Roadrunners-Crunch-
160 - 2019-03-121135Crunch-Bears-
161 - 2019-03-131136Crunch-Checkers-
163 - 2019-03-151159Crunch-Rampage-
165 - 2019-03-171175Bruins-Crunch-
170 - 2019-03-221212Bears-Crunch-
172 - 2019-03-241226Crunch-Senators-
173 - 2019-03-251236Crunch-Rocket-
175 - 2019-03-271251Crunch-Marlies-
177 - 2019-03-291258Crunch-Bruins-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2515
Attendance7,9243,881
Attendance PCT79.24%77.62%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
3 2361 - 78.70% 64,079$320,395$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
223,821$ 1,629,000$ 1,629,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 167,886$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,306,844$ 159 12,311$ 1,957,449$




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
Regular Season
LHS0580223808345167211-44401017061338593-84012210221282118-3644167281448013535349171800526612620752475951123816891893518.52%2294480.79%4575124146.33%707159644.30%505107047.20%1421573186410091863936
LHS0580372803444285246394020160121012811612401712022341571302774285493778166511598122663779974877632648953107222402145726.64%2185475.23%7832158252.59%823158951.79%660126352.26%155773318409671729863
LHS0680303103367238250-1240121800145115126-1140181303222123124-16023837861606578884142031584692726702277667100017061964623.47%1894874.60%10711145948.73%807159750.53%605119350.71%1467624368820111853933
LHS0680263903354246277-3140141902131129129040122001223117148-31522463956411359968313231674180473470255979785121572095124.40%2356273.62%5788156050.51%822171248.01%651130549.89%1533725414421221704843
LHS0776293702134224233-938151901012118123-538141801122106110-4582243665900466787512211961872576048215268085419711884725.00%1765867.05%10727139852.00%698141049.50%599112653.20%147667714167751705864
LHS077641280303126321845382214010011421192338191402030121992282263426689046699928232574783872138216165188618511855328.65%2376373.42%12774155449.81%840156553.67%584118249.41%149871814317761654825
LHS0876213804175194249-553813180303198114-16388200114496135-39421943034974439628216191647666175565226078081118691914523.56%2135972.30%5663136848.46%765155749.13%46595748.59%139358515118071719872
LHS08763426044352882682038181104122143133103816150031314513510682884757635162125941029961005104492844257791371920372356628.09%1384071.01%21032195052.92%856166951.29%596119549.87%164991415007251463729
LHS09803031017562352350401714004231271171040131701333108118-10602353786132755908412196050074269172231876477422571953920.00%2075274.88%4683144847.17%810173946.58%507105348.15%147962415798431805909
LHS09804420033733082396940268002311661184840181203142142121218830850781521851149914323410871114101652265594158322662215123.08%1834575.41%71106209952.69%952185451.35%598117950.72%177299215437591541769
LHS1080233106767228254-2640121502434116132-1640111604333112122-104622836859634458190172320690805775922540835121820461614427.33%2185475.23%2828166949.61%831177946.71%582114550.83%150667716068441774881
LHS108038250529127822751401811031611301102040201402130148117317627844572331491051102030259261013107053266587169921952014321.39%1443079.17%41005198350.68%856170750.15%604116951.67%171192315597801590785
LHS1180273503744215227-1240101703622105108-340171800122110119-9542153535682541848312230970883173069243680880823551624427.16%2416473.44%6777158549.02%829173247.86%482104746.04%153170015838441742851
LHS1180332503469273256174019140112313112564014110234614213111662734457183163100101103060998998104173261585460622982456325.71%2005771.50%41035205550.36%868171250.70%606120250.42%175595615397891591776
LHS1276215001220216331-115388300000098185-8738132001220118146-2842216355571104383876229065979583310258179887619791734727.17%2488764.92%2769161747.56%706147547.86%533112447.42%143766115217801617807
LHS1380105004475202317-1154042403063111163-52406260141291154-632020232752913377777162181607781761702975956102921901794022.35%2798868.46%5659151543.50%857193844.22%454110741.01%146164117168481698836
LHS1480145301543172269-97407290013087138-51407240141385131-4628172282454113257786174544559668042271095589317531855529.73%2578865.76%7643136247.21%734163644.87%46899247.18%136953216888581790912
LHS1580244004462257309-5240121702351131157-2640122302111126152-2648257410667206995831327868861011869462832849123624312215424.43%2517769.32%7879185147.49%745159746.65%543119845.33%161381316168011621790
LHS1676145300243168307-1393810250011186154-68384280013282153-71281682914590060515312193961862967450272884599420972004924.50%45211275.22%41022227344.96%1147263143.60%523125341.74%160110352011585986465
LHS178076301315181391-210405310120190197-107402320011491194-103141813245050158665542078649729690253099922104921342043617.65%46612872.53%01151237148.54%1236274645.01%641135647.27%1663109121436141025480
LHS1876125802121184352-168384290212082161-793882900001102191-8924184317501006754596194666463463422279579547215261912814.66%2015075.12%1926218342.42%999245340.73%501124640.21%157610392019579985465
LHS1982115904422219367-1484163102110104175-714152802312115192-7722219389608307774629222475468176835278788143014081974321.83%1857062.16%21125234048.08%1077235745.69%683143647.56%1759118521216191080517
20723010101621-5521010101411320200000210-881626420183332126571727222556316922313.64%20385.00%011924249.17%14022961.14%6410660.38%161110170539445
Total Regular Season1741550861069741018650576054-99787228442803833543525363004-46886926643303141475125213050-529110450578334133913466125618501781262514751573217780174251191570671852119161446244364103923.81%5187143372.37%110188293870548.65%191054028047.43%124542590448.08%343991753841819197993464217164
Playoff
LHS051811700000675710853000002726110640000040319226711718400152922167221421023018770272188502491428.57%671380.60%121445047.56%22548146.78%17930758.31%35418022421147350167
LHS06404000001018-820200000813-52020000025-30101828002080113292153101464133929111.11%11281.82%0428151.85%387848.72%346056.67%7430377520549147
LHS07624000001722-532100000128430300000514-941728450067401495945450240745813711327.27%21385.71%14910745.79%7916348.47%419344.09%107461296112264
LHS081046000002936-7532000001415-1514000001521-68295281119109138311812813344091497626030310.00%25676.00%014927753.79%12326047.31%8916653.61%2091162159418289
LHS091055000002628-242200000880633000001820-210264066008891267698881294021275728923313.04%21576.19%09118050.56%11327640.94%5814041.43%18577232108228118
LHS0919910000005760-311560000030291844000002731-41857931501114241547472542412282478128014952040922.50%451175.56%123049346.65%25452348.57%12828744.60%407225410185360177
LHS101688000004652-6716000001726-99720000029263164676122001412191569204153206664123131041926726.92%381268.42%119636953.12%21543249.77%11924049.58%312162343151306153
LHS10514000001419-52110000076130300000713-621421351027501753862750198693612019421.05%13469.23%26012647.62%6413049.23%377946.84%96461004910352
LHS11624000001818031200000880312000001010041834521055802457793750238797315315426.67%14564.29%09017850.56%8616053.75%468554.12%128741275310352
Total Playoff94425200000284310-2645202500000131139-849222700000153171-188428447976342751029983320106210411126913825132298024922224821.62%2556176.08%61121226149.58%1197250347.82%731145750.17%1876960757739061850922