Crunch

GP: 3 | W: 2 | L: 1 | OTL: 0 | P: 4
GF: 9 | GA: 6 | PP%: 16.67% | PK%: 70.00%
GM : David Cousineau | Morale : 75 | Team Overall : 62
Next Games #59 vs Wild

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
1Adam KlapkaX100.009258666799838768656266696368674275670
2Jack FinleyX100.008451776598757664786362686165676675650
3Boris KatchoukXX100.007459816483868263666261656368706175640
4Brett Chorske (R)X100.009041945999738360585561675665674275640
5Jakob PelletierXX100.006635936765838665746963646765667775640
6Cole GuttmanX100.006238806663908663686564606667694275630
7Brody Lamb (R)X100.006437956373756462596160635964655875620
8Dylan RoobroeckX100.008853725897808757605659645562644975620
9Maxim Groshev (R)X100.006639886380868262306155575165676175620
10Noel GunlerX100.006740766076808457555861566265677175610
11Ty MuellerX100.006337866269808558646059656163666275610
12Tyler TuckerX100.007464676578838463306860675166684775640
13Maxwell CrozierX100.007345686684867762306856674966685675630
14Victor ManciniX100.007741886489848259306456604965664875630
15Adam Engstrom (R)X100.006739836479818462306355644863656275620
16Daemon HuntX100.006637916376777559306552664764676375620
17Nolan AllanX100.007054716379828462306454654963657775620
18William LagessonX100.007340806283827759306754604770725175620
Scratches
1Dylan Hryckowian (R)X100.005738796266826359555860566163644575590
2Kalle Vaisanen (R)X100.007337955482656952565053555163656075580
3Redmond Savage (R)X100.005938855669687054635355625663655975580
4Chase Yoder (R)X100.005737865566716853635254515564664875560
5Taige Harding (R)X100.009048555999647756305852624564666275610
6Carson Lambos (R)X100.006439795977758657305554614563658075590
7David Spacek (R)X100.006237896069768557306153564763654975590
8Eamon Powell (R)X100.005537805865706856305756534764665875580
9Roman SchmidtX100.008448585493647853305152594563656275580
TEAM AVERAGE100.00714380618078795947605762546566587561
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
1Matt D. Murray100.00808883777978807978807968813675670
2Michal Postava (R)100.00798076777877797877797864714375660
Scratches
1Magnus Chrona100.00738177857271737271737266754775630
2Amir Miftakhov (R)100.00717673727069717069717066754775620
TEAM AVERAGE100.0076817778757476757476756676437565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Adam Foote77737574817668CAN541450,000$


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
1Maxim GroshevCrunch (TBL)LW3033300113110.00%05217.5501125000010050.00%200001.1400000000
2Nolan AllanCrunch (TBL)D31235208730333.33%65919.960000600008000.00%000001.0000000110
3Adam KlapkaCrunch (TBL)RW3202320165102720.00%05919.87000210000030053.33%1500000.6700000100
4Cole GuttmanCrunch (TBL)C3022300154240.00%05016.9000001000020046.15%3900000.7900000000
5Brody LambCrunch (TBL)RW3022000124330.00%04214.060110300000000.00%200000.9500000000
6Victor ManciniCrunch (TBL)D3022060132140.00%25819.4901121000006000.00%000000.6800000000
7Jakob PelletierCrunch (TBL)C/LW311210024122108.33%05719.23000311000140085.71%700100.6900000001
8Boris KatchoukCrunch (TBL)LW/RW3101-1203350920.00%05618.910000500007100.00%300000.3500000000
9Jack FinleyCrunch (TBL)C3011140674050.00%26521.67000011000080059.42%6900000.3100000000
10Dylan RoobroeckCrunch (TBL)C31010003222450.00%0227.5410113000141058.33%1200000.8800000000
11Maxwell CrozierCrunch (TBL)D3011000824010.00%25819.420113600003000.00%000000.3400000000
12William LagessonCrunch (TBL)D3011100201000.00%0113.720000000000000.00%000001.7900000000
13Noel GunlerCrunch (TBL)RW31011002120050.00%0258.5300000000000066.67%300000.7800000010
14Ty MuellerCrunch (TBL)C31011000030333.33%0279.1300011000000059.09%2200000.7300000000
15Tyler TuckerCrunch (TBL)D3101-2208232233.33%15518.631011400006000.00%000000.3600000010
16Adam EngstromCrunch (TBL)D3000120333130.00%16521.770002900002000.00%000000.0000000000
17Daemon HuntCrunch (TBL)D3000300130200.00%25016.980000300008000.00%000000.0000000000
18Brett ChorskeCrunch (TBL)C3000020631130.00%05919.8400007000030046.88%3200000.0000000000
Team Total or Average549152420220725366196213.64%1687916.29246171030002722053.88%20600100.5500000231
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
1Matt D. MurrayCrunch (TBL)32100.8722.01179006470000.000030000
Team Total or Average32100.8722.01179006470000.000030000


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 EngstromD242003-11-17Yes193 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Adam KlapkaRW272000-09-14No235 Lbs6 ft8NoNoNo1RFAPro & Farm943,000$0$0$NoLink / NHL Link
Amir MiftakhovG272000-04-26Yes172 Lbs6 ft0NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Boris KatchoukLW/RW291998-06-18No212 Lbs6 ft2NoNoYes2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Brett ChorskeC262001-05-24Yes216 Lbs6 ft7NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Brody LambRW242003-08-30Yes179 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Carson LambosD242003-01-14Yes197 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Chase YoderC252002-05-28Yes176 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Cole GuttmanC281999-04-06No167 Lbs5 ft9NoNoYes3UFAPro & Farm850,000$0$0$NoLink / NHL Link
Daemon HuntD252002-05-15No193 Lbs6 ft1NoNoNo2RFAPro & Farm977,200$0$0$NoLink / NHL Link
David SpacekD242003-02-18Yes174 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Dylan HryckowianRW232004-05-19Yes180 Lbs5 ft10NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Dylan RoobroeckC232004-07-27No207 Lbs6 ft7NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Eamon PowellD252002-05-10Yes165 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jack FinleyC252002-09-02No227 Lbs6 ft6NoNoNo2RFAPro & Farm981,200$0$0$NoLink / NHL Link
Jakob PelletierC/LW262001-03-07No172 Lbs5 ft10NoNoNo3RFAPro & Farm850,000$0$0$NoLink / NHL Link
Kalle VaisanenLW242003-01-28Yes178 Lbs6 ft4NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Magnus ChronaG272000-08-28No194 Lbs6 ft4NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matt D. MurrayG291998-02-02No196 Lbs6 ft1NoNoYes1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Maxim GroshevLW262001-12-14Yes196 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Maxwell CrozierD272000-04-19No204 Lbs6 ft3NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Michal PostavaG252002-02-28Yes200 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Noel GunlerRW262001-10-07No176 Lbs6 ft2NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Nolan AllanD242003-04-28No195 Lbs6 ft2NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Redmond SavageC242003-05-15Yes180 Lbs5 ft11NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Roman SchmidtD242003-02-27No216 Lbs6 ft5NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Taige HardingD252002-01-03Yes235 Lbs6 ft6NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Ty MuellerC242003-02-26No185 Lbs5 ft11NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
Tyler TuckerD272000-03-01No204 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Victor ManciniD252002-05-26No229 Lbs6 ft3NoNoNo2RFAPro & Farm999,999$0$0$NoLink / NHL Link
William LagessonD311996-02-22No211 Lbs6 ft2NoNoYes2UFAPro & Farm999,999$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3125.58196 Lbs6 ft22.16938,755$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierJack FinleyBoris Katchouk35122
2Maxim GroshevCole GuttmanAdam Klapka32122
3Brett ChorskeTy MuellerBrody Lamb24122
4Dylan RoobroeckBrett ChorskeNoel Gunler9122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam EngstromTyler Tucker35122
2Nolan AllanMaxwell Crozier35122
3Daemon HuntVictor Mancini25122
4Adam EngstromWilliam Lagesson5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierJack FinleyAdam Klapka60122
2Maxim GroshevBrett ChorskeBoris Katchouk40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Adam EngstromVictor Mancini60122
2Maxwell CrozierTyler Tucker40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jack FinleyBoris Katchouk60122
2Jakob PelletierBrett Chorske40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tyler TuckerVictor Mancini60122
2Nolan AllanDaemon Hunt40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Adam Klapka60122Maxwell CrozierTyler Tucker60122
2Jack Finley40122Adam EngstromDaemon Hunt40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cole GuttmanDylan Roobroeck60122
2Jakob PelletierBrett Chorske40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Maxwell CrozierVictor Mancini60122
2William LagessonDaemon Hunt40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierJack FinleyAdam KlapkaTyler TuckerAdam Engstrom
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierJack FinleyAdam KlapkaTyler TuckerNolan Allan
Extra Forwards
Normal PowerPlayPenalty Kill
Ty Mueller, Cole Guttman, Dylan RoobroeckTy Mueller, Brody LambDylan Roobroeck
Extra Defensemen
Normal PowerPlayPenalty Kill
Nolan Allan, William Lagesson, Adam EngstromNolan AllanMaxwell Crozier, Adam Engstrom
Penalty Shots
Adam Klapka, Jack Finley, Jakob Pelletier, Brett Chorske, Boris Katchouk
Goalie
#1 : Matt D. Murray, #2 : Michal Postava


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
34L191524664716227200
All Games
GPWLOTWOTL SOWSOLGFGA
321000096
Home Games
GPWLOTWOTL SOWSOLGFGA
211000054
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000042
Last 10 Games
WLOTWOTL SOWSOL
210000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
12216.67%10370.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
27192004140
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
509453.19%386756.72%234551.11%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
765262214021


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
3 - 2026-10-0111Crunch4Wolf Pack2WBoxScore
5 - 2026-10-0328Bears2Crunch4WBoxScore
7 - 2026-10-0540Phantoms2Crunch1LBoxScore
10 - 2026-10-0859Wild-Crunch-
12 - 2026-10-1081Crunch-Hammers-
15 - 2026-10-1395Crunch-Wolf Pack-
17 - 2026-10-15113Firebirds-Crunch-
19 - 2026-10-17123Canucks-Crunch-
22 - 2026-10-20151Crunch-Silver Knights-
25 - 2026-10-23167Crunch-Eagles-
26 - 2026-10-24177Crunch-Roadrunners-
31 - 2026-10-29206Moose-Crunch-
33 - 2026-10-31219Crunch-Admirals-
36 - 2026-11-03238Griffins-Crunch-
38 - 2026-11-05253IceHogs-Crunch-
40 - 2026-11-07273Crunch-Wild-
41 - 2026-11-08281Crunch-Moose-
44 - 2026-11-11293Crunch-Americans-
45 - 2026-11-12302Crunch-Monsters-
47 - 2026-11-14317Griffins-Crunch-
50 - 2026-11-17337Bears-Crunch-
52 - 2026-11-19349Condors-Crunch-
55 - 2026-11-22374Americans-Crunch-
58 - 2026-11-25389Wolves-Crunch-
60 - 2026-11-27406Senators-Crunch-
61 - 2026-11-28416Crunch-Checkers-
65 - 2026-12-02445Crunch-Rocket-
68 - 2026-12-05471Crunch-Senators-
70 - 2026-12-07483Monsters-Crunch-
73 - 2026-12-10500Bruins-Crunch-
75 - 2026-12-12517Penguins-Crunch-
76 - 2026-12-13530Crunch-Thunderbirds-
78 - 2026-12-15541Crunch-Penguins-
80 - 2026-12-17552Wranglers-Crunch-
82 - 2026-12-19574Crunch-Marlies-
83 - 2026-12-20578Crunch-Griffins-
85 - 2026-12-22594Thunderbirds-Crunch-
89 - 2026-12-26601Crunch-Checkers-
91 - 2026-12-28621Crunch-Wolves-
92 - 2026-12-29630Admirals-Crunch-
94 - 2026-12-31644Rocket-Crunch-
96 - 2027-01-02658Americans-Crunch-
99 - 2027-01-05688Crunch-Firebirds-
101 - 2027-01-07702Crunch-Canucks-
103 - 2027-01-09710Crunch-Wranglers-
105 - 2027-01-11726Crunch-Condors-
108 - 2027-01-14748Silver Knights-Crunch-
110 - 2027-01-16759Senators-Crunch-
112 - 2027-01-18777Crunch-Bruins-
115 - 2027-01-21804Crunch-Comets-
117 - 2027-01-23812Crunch-Griffins-
120 - 2027-01-26838Reign-Crunch-
124 - 2027-01-30873Hammers-Crunch-
127 - 2027-02-02885Crunch-Penguins-
128 - 2027-02-03890Crunch-Phantoms-
137 - 2027-02-12908Stars-Crunch-
138 - 2027-02-13919Eagles-Crunch-
141 - 2027-02-16941Checkers-Crunch-
143 - 2027-02-18951Gulls-Crunch-
145 - 2027-02-20973Marlies-Crunch-
148 - 2027-02-23994Barracuda-Crunch-
150 - 2027-02-251008Crunch-Stars-
152 - 2027-02-271024Crunch-Wolves-
153 - 2027-02-281034Roadrunners-Crunch-
156 - 2027-03-031055Crunch-Reign-
158 - 2027-03-051068Crunch-Gulls-
159 - 2027-03-061079Crunch-Barracuda-
161 - 2027-03-081091Crunch-IceHogs-
164 - 2027-03-111110Comets-Crunch-
166 - 2027-03-131129Hammers-Crunch-
168 - 2027-03-151138Crunch-Bears-
170 - 2027-03-171155Crunch-Marlies-
171 - 2027-03-181164Crunch-Rocket-
173 - 2027-03-201181Crunch-Senators-
176 - 2027-03-231198Checkers-Crunch-
178 - 2027-03-251217Phantoms-Crunch-
180 - 2027-03-271235Wolf Pack-Crunch-
183 - 2027-03-301254Marlies-Crunch-
185 - 2027-04-011263Monsters-Crunch-
187 - 2027-04-031278Crunch-Bruins-
189 - 2027-04-051298Crunch-Americans-
190 - 2027-04-061304Crunch-Comets-
192 - 2027-04-081317Rocket-Crunch-
194 - 2027-04-101341Bruins-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity30002000
Ticket Price5030
Attendance5,1003,400
Attendance PCT85.00%85.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 4250 - 85.00% 169,575$339,150$5000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
155,880$ 2,910,140$ 2,910,140$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 135,009$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,783,000$ 185 17,320$ 3,204,200$




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
202056202503323187210-2328101003302102108-62810150002185102-175618734353010064586019760612660682206360343713891613320.50%1973980.20%01018204649.76%1107219950.34%45995548.06%12948701367429738362
202182333203914270290-2041191301611138135341141902303132155-238727046873801095908127330890903905278978670519632455622.86%2847075.35%31577296453.21%1618308852.40%741137453.93%1954134419536101065531
202282293608522273300-2741181604111138145-741112004411135155-2085273494767200109847027140886907892283377893619942805519.64%3888378.61%21510296151.00%1542300451.33%712134253.06%1952133119446181062525
20238244280511330525055412412030111601223841201602102145128171043055558601401148510028060918894968261682688919593036621.78%3786483.07%61709304556.12%1618293955.05%747136454.77%2018140318956051036522
20248240280642223420727412313032001251042141171503222109103610223441765125079806724320826796780210263158718652565320.70%2423983.88%31551279255.55%1326243854.39%694124755.65%2055143818435911059538
20258241270434325923524411915021221271189412212022211321171510425947072931078829124450765808838234168871820752485220.97%3035482.18%31498278453.81%1373264151.99%677129152.44%1998138019096051066532
20263210000096321100000541110000004224915240041406627192004716227212216.67%10370.00%0509453.19%386756.72%234551.11%765262214021
Total Regular Season469209177029251217153714983923511480016135779573659234959701312710742762-2054215372762429991145404834691517227491649885065147914328429411317150531721.06%180235280.47%1789131668653.42%86221637652.65%4053761853.20%11350782110976348260703034
Playoff
2023171070000054468963000003527884400000191902054100154000271885850180200180529131160432641421.88%721283.33%033562953.26%32860354.39%13524954.22%439306406130223111
20242715120000061538159600000373071266000002423130611101711402417187320246246231695195169593781417.95%78988.46%151188058.07%47685056.00%21238055.79%680478604194342175
20251257000003543-8743000002324-1514000001219-71035691041001461240801349912240011512031635411.43%561867.86%023644353.27%21744648.65%10420650.49%3232243089316583
Total Playoff56302600000150142831191200000958114251114000005561-66015027942924065413817250560545533162444144913411773218.08%2063981.07%11082195255.43%1021189953.77%45183554.01%144310101319417731369