Crunch

GP: 82 | W: 37 | L: 39 | OTL: 6 | P: 80
GF: 272 | GA: 299 | PP%: 20.87% | PK%: 81.09%
GM : Nick Fournier | Morale : 50 | Team Overall : 64

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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
1Ryan DzingelXXX100.006536847772798673637066577277694250670
2Andrew ShawXXX100.008873716970817363716965666478735550660
3Matt BoldyX100.006935936980798268626765687262658650660
4Byron FroeseXX100.006637896478757966786264686378754850650
5Reid BoucherX100.005833726471859065746667636875695250650
6Austin CzarnikXX100.005235956467797566746567616877693650640
7Lane PedersonX100.008335956672807167756564626667634250640
8Matt PuempelX100.006946816278788363686564616675686750640
9Brendan PerliniXX100.005935926886727366556361586469658250630
10Karson KuhlmanXX100.008035916769777164656266626571664250630
11Mario KempeXXX100.006243836371807565696658566782733550620
12Christopher Wilkie (R)X100.006357686172787359625764636669645050610
13Justin SchultzX100.006235957578888374307863655679715850690
14Maxime LajoieX100.005335957277817465306358625067645650640
15Wyatt NewpowerX100.007346806282737561305956634867644350630
16Nick EbertX100.006536816074798458305755594773675450620
17Joni TuulolaX100.007445865483889352305353564569654750620
18Lawrence PilutX100.005836906371777162306357645071664250620
19Michael Krutil (R)X100.007638895584677252305453604559596250600
20Ole Bjorgvik-HolmX100.006934835778727759305853564659615750600
21Brandon Crawley (R)X100.007660625678667153305250584567645350590
Scratches
1Mason ShawX100.005735746266687359716058565965666250590
2Francis PerronX100.005943815768747957615956545769654750580
3Chad Yetman (R)X100.005935935968727758526056575561635450580
4Blake HillmanX100.006743835876726755305251544569654850580
TEAM AVERAGE100.00664184637577776252626060587066535063
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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
1Logan Thompson100.00798785877877797877797867714350760
2Louis Domingue100.00748681857372747372747377835150740
Scratches
1Oscar Dansk100.00748382847372747372747373776650730
2Kaden Fulcher (R)100.00727169847170727170727165694450700
TEAM AVERAGE100.0075827985747375747375747175515073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Van Ryn66737071625784CAN4231,000,000$


Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
1Lane PedersonCrunch (Tam)C82445094-2010351892784551212739.67%41162119.78162642119331000046160.73%179800031.1613001646
2Lawrence PilutCrunch (Tam)D82245478-188551471132267712610.62%146178021.711422361703210330244500.00%000000.8811001255
3Matt PuempelCrunch (Tam)LW82452671-21109352141403498522012.89%51150818.39119206215210161733360.92%8700020.9423223432
4Joni TuulolaCrunch (Tam)D82183957-2318220170881786710410.11%117163819.981112231242940112241200.00%000000.7000013143
5Antoine RousselTampa LightningLW/RW50203656298220107961814513611.05%11120024.02418223618910162216251.15%56700000.9317220624
6Karson KuhlmanCrunch (Tam)C/RW81232447197401221191986114411.62%11121915.05751240171000006057.50%48000000.7700000502
7Matt BoldyCrunch (Tam)LW311728452930055941513911111.26%975924.4958133913211221452155.88%41700011.1903000323
8Byron FroeseCrunch (Tam)C/RW31151934222005168101278214.85%1062020.01369281362134951166.54%79800001.1002000142
9Mason ShawCrunch (Tam)LW82191534-2772101011131804812310.56%308159.9400000000012270.18%5700030.8311101512
10Austin CzarnikCrunch (Tam)C/RW31131831240073084297015.48%760919.68549291370223872264.00%5000001.0201000501
11Maxime LajoieCrunch (Tam)D3142731231006265128367.84%4671523.0831316331410111134110.00%000100.8700000030
12Reid BoucherCrunch (Tam)LW31151429141201748103267114.56%1370522.7757123413110161622062.75%5100100.8223000321
13Wyatt NewpowerCrunch (Tam)D315111622455772129123217.24%3068922.26257181370000120000.00%000000.4600010124
14Mario KempeCrunch (Tam)C/LW/RW313912630016486010395.00%340713.1300000000010063.48%39700000.5901000011
15Brendan PerliniCrunch (Tam)LW/RW315510622014537026537.14%547315.26000110002542063.38%7100000.4200000110
16Ole Bjorgvik-HolmCrunch (Tam)D311567005611139.09%91745.640000000000100.00%000000.6900000000
17Brandon CrawleyCrunch (Tam)D31145716014441225.00%61745.610000000000000.00%000000.5700000000
18Christopher WilkieCrunch (Tam)RW312355100157247188.33%0973.1300000000001160.00%1000001.0300000002
19Nick EbertCrunch (Tam)D3105515100171210550.00%1136411.7700000000148000.00%000000.2700000000
20Michael KrutilCrunch (Tam)D3103314235341110370.00%1133310.7400000000015000.00%000000.1800001000
21Chad YetmanCrunch (Tam)RW5011100110010.00%051.10000020000000100.00%400003.6500000000
22Blake HillmanCrunch (Tam)D3000040220200.00%1144.780000000000000.00%000000.0000000000
Team Total or Average952274396670134939105138113782475720165611.07%5681592816.738613522173322846915331752421460.29%478700290.848255610433438
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
1Logan ThompsonCrunch (Tam)3124430.9251.69188065537030100.61513310321
Team Total or Average3124430.9251.69188065537030100.61513310321


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
Andrew ShawC/LW/RW301991-07-20No182 Lbs5 ft11NoNoNo1UFAPro & Farm2,500,000$0$0$NoLink / NHL Link
Austin CzarnikC/RW291992-12-12No175 Lbs5 ft9NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Blake HillmanD261996-01-26No193 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brandon CrawleyD251997-02-02Yes204 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$No
Brendan PerliniLW/RW251996-04-27No211 Lbs6 ft3NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Byron FroeseC/RW311991-03-12No202 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Chad YetmanRW222000-02-18Yes179 Lbs5 ft11NoNoNo4ELCPro & Farm300,000$0$0$No
Christopher WilkieRW251996-07-10Yes190 Lbs6 ft0NoNoNo4RFAPro & Farm300,000$0$0$No
Francis PerronLW251996-04-18No166 Lbs6 ft0NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Joni TuulolaD261996-01-01No198 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Justin SchultzD311990-07-06No186 Lbs6 ft2NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Kaden FulcherG231998-09-23Yes201 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$No
Karson KuhlmanC/RW261995-09-26No190 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lane PedersonC241997-08-04No190 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Lawrence PilutD261995-12-30No194 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Logan ThompsonG251997-02-25No201 Lbs6 ft4NoNoNo2RFAPro & Farm900,000$0$0$NoLink
Louis DomingueG301992-03-06No208 Lbs6 ft3NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Mario KempeC/LW/RW331988-09-19No185 Lbs6 ft0NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Mason ShawLW231998-11-03No182 Lbs5 ft9NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Matt BoldyLW202001-04-05No196 Lbs6 ft2NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Matt PuempelLW291993-01-24No201 Lbs6 ft1NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Maxime LajoieD241997-11-05No196 Lbs6 ft1NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Michael KrutilD192002-06-03Yes202 Lbs6 ft3NoNoNo1ELCPro & Farm0$0$No
Nick EbertD271994-05-11No200 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Ole Bjorgvik-HolmD192002-05-23No190 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink
Oscar DanskG281994-02-28No204 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Reid BoucherLW281993-09-08No195 Lbs5 ft10NoNoNo4UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Ryan DzingelC/LW/RW301992-03-09No190 Lbs6 ft0NoNoNo2UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Wyatt NewpowerD241997-12-09No194 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2925.97193 Lbs6 ft12.10553,448$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt BoldyByron FroeseAustin Czarnik40122
2Reid BoucherLane PedersonKarson Kuhlman30122
3Matt PuempelMario KempeBrendan Perlini20122
4Matt BoldyChristopher Wilkie10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime LajoieWyatt Newpower40122
2Joni TuulolaLawrence Pilut30122
3Nick EbertMichael Krutil20122
4Ole Bjorgvik-HolmBrandon Crawley10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matt BoldyByron FroeseAustin Czarnik60122
2Reid BoucherLane PedersonKarson Kuhlman40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime LajoieWyatt Newpower60122
2Joni TuulolaLawrence Pilut40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt BoldyReid Boucher60122
2Byron FroeseAustin Czarnik40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime LajoieWyatt Newpower60122
2Joni TuulolaLawrence Pilut40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Boldy60122Maxime LajoieWyatt Newpower60122
2Reid Boucher40122Joni TuulolaLawrence Pilut40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt BoldyReid Boucher60122
2Byron FroeseAustin Czarnik40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxime LajoieWyatt Newpower60122
2Joni TuulolaLawrence Pilut40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt BoldyByron FroeseAustin CzarnikMaxime LajoieWyatt Newpower
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matt BoldyByron FroeseAustin CzarnikMaxime LajoieWyatt Newpower
Extra Forwards
Normal PowerPlayPenalty Kill
, Matt Puempel, Brendan Perlini, Matt PuempelBrendan Perlini
Extra Defensemen
Normal PowerPlayPenalty Kill
, Nick Ebert, Michael KrutilNick Ebert, Michael Krutil
Penalty Shots
Matt Boldy, Reid Boucher, Byron Froese, Austin Czarnik, Lane Pederson
Goalie
#1 : Logan Thompson, #2 : Louis Domingue


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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.
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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8280W427244171325422435734905137315
All Games
GPWLOTWOTL SOWSOLGFGA
8233392323272299
Home Games
GPWLOTWOTL SOWSOLGFGA
4117190212145149
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4116202111127150
Last 10 Games
WLOTWOTL SOWSOL
700111
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4128620.87%3867381.09%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
83277391344112718510
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1317254051.85%1113237146.94%634130348.66%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
195614222079553920450


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2021-10-015Rampage3Crunch2LBoxScore
3 - 2021-10-0324Crunch3Heat4LXBoxScore
5 - 2021-10-0537Crunch2Marlies7LBoxScore
6 - 2021-10-0645Crunch5Heat8LBoxScore
8 - 2021-10-0862Americans6Crunch4LBoxScore
10 - 2021-10-1086Thunderbirds4Crunch0LBoxScore
13 - 2021-10-13103Rocket5Crunch2LBoxScore
15 - 2021-10-15118Crunch1Americans6LBoxScore
16 - 2021-10-16129Crunch1Admirals2LBoxScore
18 - 2021-10-18147Crunch3Rocket4LBoxScore
19 - 2021-10-19159Bears6Crunch4LBoxScore
22 - 2021-10-22179Crunch4Checkers8LBoxScore
23 - 2021-10-23190Rampage5Crunch4LXXBoxScore
26 - 2021-10-26212Condors5Crunch3LBoxScore
29 - 2021-10-29230Crunch0Wolves7LBoxScore
30 - 2021-10-30244Comets3Crunch5WBoxScore
32 - 2021-11-01253Crunch7IceHogs3WBoxScore
34 - 2021-11-03276Crunch2Bruins3LBoxScore
35 - 2021-11-04284Wild4Crunch1LBoxScore
38 - 2021-11-07307Wolves5Crunch1LBoxScore
41 - 2021-11-10328Condors3Crunch6WBoxScore
43 - 2021-11-12340Crunch0Devils4LBoxScore
45 - 2021-11-14352Crunch8Palm Springs7WXBoxScore
47 - 2021-11-16374Wolf Pack5Crunch1LBoxScore
49 - 2021-11-18392Crunch7Marlies1WBoxScore
50 - 2021-11-19405Heat5Crunch7WBoxScore
54 - 2021-11-23428Eagles2Crunch5WBoxScore
56 - 2021-11-25450Monsters6Crunch2LBoxScore
58 - 2021-11-27465Crunch3Wolf Pack2WBoxScore
60 - 2021-11-29481Crunch3Palm Springs4LBoxScore
61 - 2021-11-30493Admirals5Crunch1LBoxScore
63 - 2021-12-02513Crunch2Admirals8LBoxScore
65 - 2021-12-04523Comets9Crunch3LBoxScore
67 - 2021-12-06547Griffins6Crunch5LBoxScore
69 - 2021-12-08557Crunch3Eagles2WBoxScore
71 - 2021-12-10579Gulls6Crunch4LBoxScore
72 - 2021-12-11588Crunch3Barracuda6LBoxScore
74 - 2021-12-13605Crunch3Phantoms5LBoxScore
75 - 2021-12-14618Bruins6Crunch2LBoxScore
78 - 2021-12-17639Crunch1Comets6LBoxScore
80 - 2021-12-19655Penguins5Crunch2LBoxScore
82 - 2021-12-21673Crunch1Wild9LBoxScore
83 - 2021-12-22685Griffins2Crunch3WBoxScore
86 - 2021-12-25706Crunch2Americans3LBoxScore
88 - 2021-12-27719Senators3Crunch4WBoxScore
90 - 2021-12-29738Rampage4Crunch1LBoxScore
92 - 2021-12-31751Crunch1Monsters5LBoxScore
93 - 2022-01-01763Crunch6IceHogs5WXXBoxScore
95 - 2022-01-03775Crunch4Roadrunners3WBoxScore
96 - 2022-01-04787Americans5Crunch4LXBoxScore
99 - 2022-01-07810Rocket4Crunch3LBoxScore
101 - 2022-01-09834Crunch3Eagles0WBoxScore
102 - 2022-01-10842Crunch5Moose1WBoxScore
104 - 2022-01-12854IceHogs0Crunch6WBoxScore
106 - 2022-01-14868Crunch6Wild2WBoxScore
107 - 2022-01-15882Marlies2Crunch4WBoxScore
109 - 2022-01-17899Crunch7Reign1WBoxScore
111 - 2022-01-19912Phantoms3Crunch0LBoxScore
113 - 2022-01-21927Crunch3Rampage2WXBoxScore
115 - 2022-01-23946Crunch3Rocket0WBoxScore
116 - 2022-01-24952Thunderbirds3Crunch2LXXBoxScore
118 - 2022-01-26971Crunch1Thunderbirds3LBoxScore
119 - 2022-01-27985Palm Springs1Crunch4WBoxScore
121 - 2022-01-29998Crunch4Heat2WBoxScore
122 - 2022-01-301015Checkers1Crunch2WBoxScore
124 - 2022-02-011029Crunch5Stars4WBoxScore
126 - 2022-02-031043Crunch1Sound Tigers2LBoxScore
127 - 2022-02-041053Barracuda1Crunch5WBoxScore
128 - 2022-02-051066Crunch0Wolves2LBoxScore
131 - 2022-02-081084Devils2Crunch3WBoxScore
133 - 2022-02-101094Crunch2Heat1WBoxScore
135 - 2022-02-121106Crunch5Condors3WBoxScore
136 - 2022-02-131118Reign3Crunch7WBoxScore
139 - 2022-02-161134Crunch3Griffins1WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
141 - 2022-02-181150Sound Tigers4Crunch3LXBoxScore
143 - 2022-02-201158Crunch2Checkers1WBoxScore
145 - 2022-02-221183Roadrunners5Crunch6WXXBoxScore
147 - 2022-02-241193Crunch2Marlies3LXXBoxScore
149 - 2022-02-261214Stars0Crunch4WBoxScore
154 - 2022-03-031248Moose1Crunch9WBoxScore
157 - 2022-03-061273Bears1Crunch7WBoxScore
163 - 2022-03-121303Stars0Crunch4WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance77,84938,639
Attendance PCT94.94%94.24%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2841 - 94.71% 70,922$2,907,783$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,115,635$ 160,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 115,652$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 7,033$ 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
Regular Season
12824224045432491727741221102132129824741201302411120903010824944669511101008259220907137227491711511139218355107414.51%5767287.50%41584255661.97%1364233558.42%730118261.76%225316091733575989519
137638250452221917247381615023111108723382210022111098524952193866051120747960194205796916561716532120416284426314.25%5016287.62%71315230057.17%1227222855.07%613109256.14%199214051686539920480
14764024032432331409338221000141125656038181403102108753399233426659210090756122100746698748171852895914343385716.86%3784288.89%51375243956.38%1220228353.44%609108756.03%199214231706527906471
158243250363225618769412290342113479554121160021112210814106256469725180967975252208318448261834508102713824586313.76%4096185.09%71643275559.64%1282226256.68%716121059.17%223116161760567974508
1682333902323272299-2741171900212145149-441162002111127150-238027244171315112718510254283277391344243573490513734128620.87%3867381.09%61317254051.85%1113237146.94%634130348.66%195614222079553920450
Total Regular Season398196137016211513122997025919999640711117643462181199977309104658650878488122921683397646112431400265114258323642386830239414281354877652216034315.88%225031086.22%2972341259057.46%62061147954.06%3302587456.21%1042674778965276447102431
Playoff
1151400000616-102020000017-63120000059-4261218000051810203427125301361233425.88%57984.21%06714446.53%9817655.68%366654.55%10566132406229
1251400000515-102110000055030300000010-10251015010113810262628145358913016212.50%38781.58%07513256.82%9217054.12%356553.85%10063138376329
1412750000024195541000001073734000001412214244165020104734901039487330981252479477.45%54590.74%024049348.68%21547545.26%8018942.33%34723937211218390
15514000001319-62020000049-531200000910-12132336010355134040484612429598327725.93%26773.08%06516439.63%5112341.46%277237.50%11378124376230
Total Playoff271017000004869-211156000002028-816511000002841-1320488613404014151664501892021887241924095831711810.53%1752884.00%044793347.91%45694448.31%17839245.41%666447767227371179