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Crunch
GP: 80 | W: 43 | L: 32 | OTL: 5 | P: 91
GF: 340 | GA: 329 | PP%: 24.00% | PK%: 72.76%
GM : Keven St-Amand | Morale : 51 | Team Overall : 66
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Game Center
Icehogs
45-25-10, 100pts
4
FINAL
5 Crunch
43-32-5, 91pts
Team Stats
OTW1StreakW1
23-13-4Home Record19-18-3
22-12-6Away Record24-14-2
3-4-3Last 10 Games7-2-1
4.25Goals Per Game4.25
4.03Goals Against Per Game4.11
22.12%Power Play Percentage24.00%
77.97%Penalty Kill Percentage72.76%
Crunch
43-32-5, 91pts
6
FINAL
5 Little Stars
35-34-11, 81pts
Team Stats
W1StreakL1
19-18-3Home Record15-19-6
24-14-2Away Record20-15-5
7-2-1Last 10 Games3-6-1
4.25Goals Per Game3.89
4.11Goals Against Per Game4.03
24.00%Power Play Percentage18.15%
72.76%Penalty Kill Percentage79.66%
Team Leaders
Goals
Jack Roslovic
50
Assists
Jack Roslovic
63
Points
Jack Roslovic
113
Plus/Minus
Anthony Cirelli
27
Wins
Kaapo Kahkonen
30
Save Percentage
Josef Korenar
1

Team Stats
Goals For
340
4.25 GFG
Shots For
2665
33.31 Avg
Power Play Percentage
24.0%
78 GF
Offensive Zone Start
36.6%
Goals Against
329
4.11 GAA
Shots Against
2621
32.76 Avg
Penalty Kill Percentage
72.8%%
85 GA
Defensive Zone Start
34.8%
Team Info

General ManagerKeven St-Amand
CoachDenis Savard
DivisionPaul-Loicq
ConferenceLouis-Magnus
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,812
Season Tickets300


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 250
Prospects0


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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 SPAgeContractSalary
1Sam Bennett (R)X100.008736727880698175657476726655456065720211900,000$
2Jack Roslovic (R)X100.007127818468716283717075638554486566710202900,000$
3Anthony Cirelli (R)X100.006233896873867566737268766350446967700204900,000$
4Jacob JosefsonX100.006235857057686769738269546148503171670261650,000$
5Michael FerlandX100.007364736781608373596869606650493562670251700,000$
6Brandon Hagel (R)X100.006951776374635972677274586943417671670192500,000$
7Joel VerminX100.006745846458806768707654675451493271660251600,000$
8Jeremy Bracco (R)X100.005831746657687272838067475842435767650202600,000$
9Anatoli Golyshev (R)X100.006233687366677266768265525447495271650221500,000$
10Max McCormickX100.008068736579528663635963566158583254640251550,000$
11Robert Thomas (R)X100.004935756249636667808370465140409049630182500,000$
12Connor Bunnaman (R)X100.006132857164806154616452735741426471630191500,000$
13Roland McKeown (R)X100.007726917275677067447051825852455872720211900,000$
14Brendan Guhle (R)X100.006736846769687568447159844953446564700203950,000$
15Noah Hanifin (R)X100.006651827476717076577767686555436644700204950,000$
16Jordan OesterleX100.007054786576767478617066686662554471700252975,000$
17Jakob Chychrun (R)X100.006331738356647778328363695144427856680191500,000$
18Sean Walker (R)X100.006536757469735958317049735146493871660232500,000$
Scratches
1Nikita GusevX100.005624687261727672747269506952533820650251500,000$
2Axel Holmstrom (R)X100.006041736768606665696769606745454619640214600,000$
3Blake Lizotte (R)X100.004926686446585269545462516242425719570201500,000$
4Charles-Olivier RousselX100.006231737663616469446658685749502820650261500,000$
5Michael Downing (R)X100.005137677157606769426950644344444420600222500,000$
6Blake Hillman (R)X100.006546695466666652335436554944465219570211250,000$
TEAM AVERAGE100.00653977706668696959716363604947535366
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 SPAgeContractSalary
1Kaapo Kahkonen100.00666768737070696867746451455146680211600,000$
2Jordan Binnington100.00656472646371776662756351503670670251650,000$
Scratches
1Josef Korenar (R)100.00705467676549585865586744426119600191500,000$
TEAM AVERAGE100.0067626968666368646569654946494565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Denis Savard60529576606555Can632500,000$


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 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
1Jack RoslovicCrunch (T.B)C785063113125401221193349619314.97%42155519.95823314725510131028251.84%19257133001.455100001064
2Anthony CirelliCrunch (T.B)LW80394786273751071302047413319.12%46177522.191317304426620222035255.90%1614042000.9719000485
3Sam BennettCrunch (T.B)C3825436834206692173498614.45%2182921.82712191811701111002248.48%12152919011.6436000562
4Jacob JosefsonCrunch (T.B)C80293766-5120781051817111516.02%19120315.0561117181460001371050.33%10533011101.1000000342
5Brandon HagelCrunch (T.B)LW802329528420139651643710814.02%23119814.98279191770000574147.83%692721000.8712000042
6Jeremy BraccoCrunch (T.B)RW77222951832086341574610914.01%8100113.00471111139000002354.00%502818001.0200000401
7Roland McKeownCrunch (T.B)D8194150258011915110851428.33%139215626.6221214122331012279030.00%03475000.4600000222
8Jakob ChychrunCrunch (T.B)D7143640-44205110511335473.54%51128318.073101323224000012110.00%02845000.6200000110
9Robert ThomasCrunch (T.B)RW77132336-173405557110377211.82%1793612.164610101630002222055.49%164138000.7700000120
10Jordan OesterleCrunch (T.B)D8053035-566010111011244434.46%98168121.02369122290003181100.00%03555000.4200000002
11Noah HanifinCrunch (T.B)D6442731-4200769110950353.67%78132820.76235121590002152000.00%03236000.4700000101
12Joel VerminCrunch (T.B)RW80161228-9606353105265415.24%2187810.98134342000003138.24%341419200.6400000142
13Brendan GuhleCrunch (T.B)D737202714180731128437308.33%79151720.79426111660111181010.00%0952000.3600000131
14Michael FerlandCrunch (T.B)LW74121325-1138011059145491008.28%2097213.1400033800081342241.30%462213000.5101000102
15Anatoli GolyshevCrunch (T.B)LW7911718-11220492193326011.83%84786.0500002000130268.75%16207000.7500000100
16Axel HolmstromCrunch (T.B)C41107179280454644172422.73%1052512.820001380001360050.00%3201312010.6500000101
17Connor BunnamanCrunch (T.B)C801910-102031582610283.85%256748.4300000000030041.96%286214000.3000000000
18Max McCormickCrunch (T.B)RW66437-7160542138172310.53%94556.89000000000110046.67%1521000.3100000010
19Sean WalkerCrunch (T.B)D80066-736036582718160.00%4888111.0200002000012000.00%0442000.1400000000
20Blake LizotteCrunch (T.B)C25145-3404915796.67%21817.27000000001100040.30%6724000.5500000000
21Charles-Olivier RousselCrunch (T.B)D40224-310017192012610.00%1640310.0800002000016000.00%0212000.2000000000
22Nikita GusevCrunch (T.B)LW40123-1407912648.33%1882.200111100000241048.78%4120000.6800000000
23Michael DowningCrunch (T.B)D25000040314010.00%41124.490001300003000.00%003000.00%00000000
24Blake HillmanCrunch (T.B)D22000320020000.00%3773.530000000005000.00%003000.00%00000000
Team Total or Average1531288490778125795149215272378821133812.11%7882219514.50591201792462420426281594322050.07%5462459545320.701028000364127
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
1Kaapo KahkonenCrunch (T.B)63302540.8714.25355812025219511000420.61921626122
2Jordan BinningtonCrunch (T.B)2613710.8963.2412770069665348210.769131862010
3Josef KorenarCrunch (T.B)10001.0000.00%2300010010.00%0012000
Team Total or Average90433250.8773.9748581203212617134864348080132


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 Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Anatoli GolyshevCrunch (T.B)LW221995-01-01Yes187 Lbs5 ft8NoNoNo1Pro & Farm500,000$0$0$NoLink
Anthony CirelliCrunch (T.B)LW201997-01-01Yes193 Lbs6 ft0NoNoNo4Pro & Farm900,000$0$0$No2,000,000$2,500,000$3,500,000$Link
Axel HolmstromCrunch (T.B)C211996-01-01Yes198 Lbs6 ft2NoNoNo4Pro & Farm600,000$0$0$No600,000$800,000$800,000$Link
Blake HillmanCrunch (T.B)D211996-01-01Yes181 Lbs6 ft1NoNoNo1Pro & Farm250,000$0$0$NoLink
Blake LizotteCrunch (T.B)C201997-01-01Yes172 Lbs5 ft7NoNoNo1Pro & Farm500,000$0$0$NoLink
Brandon HagelCrunch (T.B)LW191998-01-01Yes174 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Brendan GuhleCrunch (T.B)D201997-01-01Yes197 Lbs6 ft2NoNoNo3Pro & Farm950,000$0$0$No1,300,000$2,000,000$Link
Charles-Olivier RousselCrunch (T.B)D261991-01-01No201 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Connor BunnamanCrunch (T.B)C191998-01-01Yes214 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$NoLink
Jack RoslovicCrunch (T.B)C201997-01-01Yes187 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No1,600,000$Link
Jacob JosefsonCrunch (T.B)C261991-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Jakob ChychrunCrunch (T.B)D191998-01-01Yes209 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$NoLink
Jeremy BraccoCrunch (T.B)RW201997-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No700,000$Link
Joel VerminCrunch (T.B)RW251992-01-01No185 Lbs5 ft11NoNoNo1Pro & Farm600,000$0$0$NoLink
Jordan BinningtonCrunch (T.B)G251992-01-01No173 Lbs6 ft1NoNoNo1Pro & Farm650,000$0$0$No
Jordan OesterleCrunch (T.B)D251992-01-01No183 Lbs6 ft0NoNoNo2Pro & Farm975,000$0$0$No1,250,000$Link
Josef KorenarCrunch (T.B)G191998-01-01Yes185 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$NoLink
Kaapo KahkonenCrunch (T.B)G211996-01-01No214 Lbs6 ft2NoNoNo1Pro & Farm600,000$0$0$NoLink
Max McCormickCrunch (T.B)RW251992-01-01No188 Lbs5 ft11NoNoNo1Pro & Farm550,000$0$0$No
Michael DowningCrunch (T.B)D221995-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michael FerlandCrunch (T.B)LW251992-01-01No215 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Nikita GusevCrunch (T.B)LW251992-01-01No163 Lbs5 ft9NoNoNo1Pro & Farm500,000$0$0$No
Noah HanifinCrunch (T.B)D201997-01-01Yes215 Lbs6 ft3NoNoNo4Pro & Farm950,000$0$0$No2,000,000$2,500,000$3,500,000$Link
Robert ThomasCrunch (T.B)RW181999-01-01Yes218 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Roland McKeownCrunch (T.B)D211996-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink
Sam BennettCrunch (T.B)C211996-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoLink
Sean WalkerCrunch (T.B)D231994-01-01Yes194 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2721.78193 Lbs6 ft11.67636,111$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony CirelliSam BennettJeremy Bracco40122
2Michael FerlandJack RoslovicRobert Thomas30122
3Brandon HagelJacob JosefsonJoel Vermin20122
4Anatoli GolyshevConnor BunnamanMax McCormick10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roland McKeownBrendan Guhle40122
2Noah HanifinJakob Chychrun30122
3Sean WalkerJordan Oesterle20122
4Roland McKeownBrendan Guhle10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony CirelliSam BennettJeremy Bracco60122
2Brandon HagelJack RoslovicRobert Thomas40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakob ChychrunJordan Oesterle60122
2Noah HanifinBrendan Guhle40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sam BennettAnthony Cirelli60122
2Jack RoslovicMichael Ferland40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Roland McKeownBrendan Guhle60122
2Noah HanifinJordan Oesterle40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sam Bennett60122Roland McKeownBrendan Guhle60122
2Jack Roslovic40122Noah HanifinJordan Oesterle40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sam BennettAnthony Cirelli60122
2Jack RoslovicBrandon Hagel40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Roland McKeownBrendan Guhle60122
2Noah HanifinJakob Chychrun40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony CirelliSam BennettJoel VerminNoah HanifinJakob Chychrun
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony CirelliSam BennettJoel VerminRoland McKeownBrendan Guhle
Extra Forwards
Normal PowerPlayPenalty Kill
Brandon Hagel, Jacob Josefson, Joel VerminBrandon Hagel, Jacob JosefsonBrandon Hagel
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Oesterle, Jakob Chychrun, Sean WalkerJordan OesterleJordan Oesterle, Jakob Chychrun
Penalty Shots
Sam Bennett, Jack Roslovic, Anthony Cirelli, Michael Ferland, Brandon Hagel
Goalie
#1 : Kaapo Kahkonen, #2 : Jordan Binnington


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
1Admirals211000005501010000023-11100000032120.50058130073125128196381493689155643014388225.00%7271.43%0931184150.57%861175049.20%689143348.08%172797916877531454724
2Barracuda22000000176111100000061511000000115641.000173047007312512819688149368915572258299555.56%4175.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
3Bears33000000151051100000053222000000107361.0001524390073125128199381493689155953128586350.00%14285.71%1931184150.57%861175049.20%689143348.08%172797916877531454724
4Comets413000001119-820200000310-72110000089-120.250112031107312512819136814936891551324530897114.29%15380.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
5Condors20100010660100000103211010000034-120.50061016007312512819608149368915561261451700.00%7357.14%0931184150.57%861175049.20%689143348.08%172797916877531454724
6Devils311010001517-21000100087121100000710-340.667152237007312512819968149368915510831184510110.00%9188.89%0931184150.57%861175049.20%689143348.08%172797916877531454724
7Eagles63101001322753200100018117311000011416-290.75032518310731251281921381493689155193585812029931.03%30583.33%0931184150.57%861175049.20%689143348.08%172797916877531454724
8Griffins20100010810-2100000106511010000025-320.50081119007312512819578149368915552281236600.00%6350.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
9Heat2010000158-31010000024-21000000134-110.250591410731251281955814936891556727632500.00%3233.33%0931184150.57%861175049.20%689143348.08%172797916877531454724
10Icehogs3200100015871000100054122000000104661.00015243900731251281999814936891558727167810110.00%8275.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
11Little Stars32100000151411010000035-222000000129340.66715264100731251281997814936891558436146917317.65%70100.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
12Marlies301010011415-1200010019901010000056-130.50014253900731251281997814936891558824305614428.57%15660.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
13Monsters21100000911-21010000048-41100000053220.500915240073125128195981493689155762412431000.00%6266.67%0931184150.57%861175049.20%689143348.08%172797916877531454724
14Moose22000000954110000004221100000053241.000913220073125128196881493689155681924366233.33%120100.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
15Penguins70202120343314010111017170301010101716190.643345084007312512819242814936891552587578150291137.93%411173.17%0931184150.57%861175049.20%689143348.08%172797916877531454724
16Phantoms2110000078-11010000025-31100000053220.5007111800731251281958814936891557726122813215.38%5340.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
17Punishers4120001012120211000007612010001056-140.5001219310073125128191528149368915512329227010220.00%12466.67%0931184150.57%861175049.20%689143348.08%172797916877531454724
18Rampage3200000114113210000019721100000054150.83314233700731251281910581493689155100448689333.33%4175.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
19Reign2020000027-51010000013-21010000014-300.00023500731251281959814936891556591438600.00%7271.43%0931184150.57%861175049.20%689143348.08%172797916877531454724
20Rocket21100000810-21010000048-41100000042220.500814220073125128195981493689155792820286233.33%10280.00%0931184150.57%861175049.20%689143348.08%172797916877531454724
21Senators21001000972110000005411000100043141.000914230073125128196181493689155633012427228.57%6350.00%2931184150.57%861175049.20%689143348.08%172797916877531454724
22Sound Tigers431000001916321100000811-322000000115660.7501932510073125128191718149368915513535229117847.06%11281.82%0931184150.57%861175049.20%689143348.08%172797916877531454724
23Thunderbirds614010002221130201000911-2312000001310340.33322406210731251281919581493689155183514612234617.65%22672.73%0931184150.57%861175049.20%689143348.08%172797916877531454724
24Wolfpack614000103031-13120000019154302000101116-540.33330518100731251281920181493689155208737911135822.86%341361.76%0931184150.57%861175049.20%689143348.08%172797916877531454724
25Wolves30300000712-52020000046-21010000036-300.00071219007312512819101814936891558321347715320.00%17664.71%0931184150.57%861175049.20%689143348.08%172797916877531454724
Total802932081643403291140101806132163167-44019140203217716215910.569340557897407312512819266581493689155262185263116053257824.00%3128572.76%3931184150.57%861175049.20%689143348.08%172797916877531454724
_Since Last GM Reset802932081643403291140101806132163167-44019140203217716215910.569340557897407312512819266581493689155262185263116053257824.00%3128572.76%3931184150.57%861175049.20%689143348.08%172797916877531454724
_Vs Conference52182205142226223326712041111101091261110010311161142570.548226370596307312512819180281493689155170252943710702185826.61%2165475.00%1931184150.57%861175049.20%689143348.08%172797916877531454724
_Vs Division25511041311181126133503110635491226010215558-3260.520118192310207312512819851814936891558422572615031273426.77%1273572.44%0931184150.57%861175049.20%689143348.08%172797916877531454724

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8091W134055789726652621852631160540
All Games
GPWLOTWOTL SOWSOLGFGA
8029328164340329
Home Games
GPWLOTWOTL SOWSOLGFGA
4010186132163167
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4019142032177162
Last 10 Games
WLOTWOTL SOWSOL
422011
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3257824.00%3128572.76%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
814936891557312512819
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
931184150.57%861175049.20%689143348.08%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
172797916877531454724


Last Played Games
Filter Tips
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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
3 - 2022-10-2913Penguins5Crunch4BLR1BoxScore
5 - 2022-10-3123Crunch6Eagles8ALBoxScore
7 - 2022-11-0235Crunch2Penguins3ALR1BoxScore
9 - 2022-11-0444Thunderbirds4Crunch3BLR1BoxScore
12 - 2022-11-0761Penguins4Crunch3BLXBoxScore
13 - 2022-11-0869Crunch4Wolfpack6ALR1BoxScore
16 - 2022-11-1184Crunch2Punishers4ALBoxScore
19 - 2022-11-1497Crunch4Thunderbirds6ALR1BoxScore
20 - 2022-11-15104Eagles4Crunch7BWBoxScore
23 - 2022-11-18123Wolfpack2Crunch9BWR1BoxScore
25 - 2022-11-20135Crunch7Icehogs2AWBoxScore
27 - 2022-11-22146Thunderbirds1Crunch2BWXR1BoxScore
31 - 2022-11-26164Wolves3Crunch2BLBoxScore
33 - 2022-11-28176Crunch4Wolfpack3AWXXR1BoxScore
35 - 2022-11-30187Crunch4Eagles3AWBoxScore
37 - 2022-12-02196Eagles3Crunch4BWXR1BoxScore
40 - 2022-12-05213Crunch5Rampage4AWBoxScore
42 - 2022-12-07218Crunch3Punishers2AWXXBoxScore
44 - 2022-12-09227Bears3Crunch5BWBoxScore
46 - 2022-12-11242Crunch9Penguins8AWXR1BoxScore
49 - 2022-12-14255Wolfpack7Crunch5BLR1BoxScore
53 - 2022-12-18274Rampage3Crunch6BWBoxScore
55 - 2022-12-20287Crunch2Thunderbirds3ALR1BoxScore
59 - 2022-12-24301Crunch4Devils8ALBoxScore
60 - 2022-12-25308Phantoms5Crunch2BLBoxScore
64 - 2022-12-29327Crunch11Barracuda5AWBoxScore
65 - 2022-12-30332Eagles4Crunch7BWR1BoxScore
68 - 2023-01-02348Crunch3Icehogs2AWBoxScore
70 - 2023-01-04359Barracuda1Crunch6BWBoxScore
73 - 2023-01-07377Crunch2Griffins5ALBoxScore
75 - 2023-01-09384Punishers3Crunch2BLBoxScore
77 - 2023-01-11397Crunch6Penguins5AWXXR1BoxScore
79 - 2023-01-13407Wolfpack6Crunch5BLR1BoxScore
81 - 2023-01-15418Crunch7Thunderbirds1AWR1BoxScore
83 - 2023-01-17427Crunch4Eagles5ALXXBoxScore
85 - 2023-01-19434Crunch4Senators3AWXBoxScore
86 - 2023-01-20441Sound Tigers2Crunch4BWBoxScore
89 - 2023-01-23457Crunch5Phantoms3AWBoxScore
90 - 2023-01-24467Rocket8Crunch4BLBoxScore
93 - 2023-01-27486Crunch5Marlies6ALBoxScore
95 - 2023-01-29491Admirals3Crunch2BLBoxScore
97 - 2023-01-31508Crunch6Sound Tigers1AWBoxScore
100 - 2023-02-03519Monsters8Crunch4BLBoxScore
102 - 2023-02-05533Crunch5Sound Tigers4AWBoxScore
105 - 2023-02-08543Thunderbirds6Crunch4BLR1BoxScore
108 - 2023-02-11565Crunch3Devils2AWBoxScore
109 - 2023-02-12570Punishers3Crunch5BWBoxScore
112 - 2023-02-15582Crunch5Monsters3AWBoxScore
114 - 2023-02-17594Crunch3Heat4ALXXBoxScore
115 - 2023-02-18597Moose2Crunch4BWBoxScore
118 - 2023-02-21615Crunch3Wolfpack7ALR1BoxScore
121 - 2023-02-24624Griffins5Crunch6BWXXBoxScore
125 - 2023-02-28647Marlies6Crunch5BLXXBoxScore
127 - 2023-03-02660Crunch5Comets7ALBoxScore
129 - 2023-03-04673Condors2Crunch3BWXXBoxScore
134 - 2023-03-09696Little Stars5Crunch3BLBoxScore
136 - 2023-03-11712Crunch3Wolves6ALBoxScore
138 - 2023-03-13721Reign3Crunch1BLBoxScore
141 - 2023-03-16738Crunch5Moose3AWBoxScore
143 - 2023-03-18748Heat4Crunch2BLBoxScore
148 - 2023-03-23772Senators4Crunch5BWBoxScore
151 - 2023-03-26789Crunch3Comets2AWBoxScore
153 - 2023-03-28798Comets6Crunch2BLBoxScore
155 - 2023-03-30810Crunch3Admirals2AWBoxScore
159 - 2023-04-03824Devils7Crunch8BWXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
163 - 2023-04-07845Wolves3Crunch2BLBoxScore
165 - 2023-04-09853Crunch3Condors4ALBoxScore
168 - 2023-04-12870Marlies3Crunch4BWXBoxScore
172 - 2023-04-16893Comets4Crunch1BLBoxScore
175 - 2023-04-19906Crunch6Little Stars4AWBoxScore
176 - 2023-04-20912Crunch1Reign4ALBoxScore
179 - 2023-04-23924Penguins5Crunch6BWXXR1BoxScore
183 - 2023-04-27945Penguins3Crunch4BWXBoxScore
185 - 2023-04-29958Crunch6Bears4AWBoxScore
189 - 2023-05-03972Rampage4Crunch3BLXXBoxScore
192 - 2023-05-06983Crunch4Bears3AWBoxScore
195 - 2023-05-09997Sound Tigers9Crunch4BLBoxScore
196 - 2023-05-101002Crunch4Rocket2AWBoxScore
202 - 2023-05-161021Icehogs4Crunch5BWXBoxScore
203 - 2023-05-171031Crunch6Little Stars5AWBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance75,66036,832
Attendance PCT94.58%92.08%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2812 - 93.74% 84,015$3,360,613$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,774,271$ 2,527,500$ 1,730,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
12,269$ 2,263,498$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 14,697$ 0$




Crunch Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Crunch Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Crunch Career Team Stats

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

Crunch Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Crunch Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA