Please rotate your device to landscape mode for a better experience.
Login

Crunch
GP: 84 | W: 28 | L: 40 | OTL: 16 | P: 72
GF: 176 | GA: 236 | PP%: 26.42% | PK%: 69.65%
GM : Alex Whiddon | Morale : 21 | Team Overall : 56
Next Games #1317 vs Silver Knights

Game Center
Gulls
45-28-12, 102pts
2
4 Crunch
28-40-16, 72pts
Team Stats
W1StreakW3
26-13-3Home Record16-14-13
19-15-9Home Record12-26-3
5-4-1Last 10 Games5-4-1
2.20Goals Per Game2.10
2.36Goals Against Per Game2.81
26.26%Power Play Percentage26.42%
71.71%Penalty Kill Percentage69.65%
Eagles
27-40-18, 72pts
1
2 Crunch
28-40-16, 72pts
Team Stats
SOL1StreakW3
15-20-7Home Record16-14-13
12-20-11Home Record12-26-3
3-5-2Last 10 Games5-4-1
2.14Goals Per Game2.10
2.86Goals Against Per Game2.81
31.09%Power Play Percentage26.42%
71.58%Penalty Kill Percentage69.65%
Crunch
28-40-16, 72pts
Day 109
Silver Knights
34-34-16, 84pts
Team Stats
W3StreakL2
16-14-13Home Record20-15-7
12-26-3Away Record14-19-9
5-4-1Last 10 Games4-4-2
2.10Goals Per Game2.27
2.81Goals Against Per Game2.27
26.42%Power Play Percentage32.34%
69.65%Penalty Kill Percentage69.60%
Crunch
28-40-16, 72pts
Day 110
IceHogs
33-33-19, 85pts
Team Stats
W3StreakW3
16-14-13Home Record17-17-8
12-26-3Away Record16-16-11
5-4-1Last 10 Games6-3-1
2.10Goals Per Game2.06
2.81Goals Against Per Game2.06
26.42%Power Play Percentage28.31%
69.65%Penalty Kill Percentage69.74%
Team Leaders
Goals
Chase Wheatcroft
41
Assists
Chase Wheatcroft
42
Points
Chase Wheatcroft
83
Plus/Minus
Dan Renouf
3
Wins
Matt Villalta
25
Save Percentage
Matt Villalta
0.868

Team Stats
Goals For
176
2.10 GFG
Shots For
1252
14.90 Avg
Power Play Percentage
26.4%
51 GF
Offensive Zone Start
33.9%
Goals Against
236
2.81 GAA
Shots Against
1719
20.46 Avg
Penalty Kill Percentage
69.7%%
61 GA
Defensive Zone Start
39.8%
Team Info

General ManagerAlex Whiddon
CoachBenoit Allaire
DivisionDivision 1
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,128
Season Tickets1,500


Roster Info

Pro Team23
Farm Team19
Contract Limit42 / 100
Prospects60


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 SPAgeContractSalary
1Ethan Cardwell (R)X100.0071668274688085615064565854474761486202331,461,000$
2Chase WheatcroftX99.007570876872768259705759615147465768610241900,000$
3Chase Bradley (R)X100.0070668071687581575049615856474658505902431,345,000$
4Sandis Vilmanis (R)X100.0078719467737176554956516148474656485802231,288,000$
5Eduard Sale (R)X100.0073659267676568555056515848474655365702131,290,000$
6Tanner Dickinson (R)X99.0073659466676772516447525748474653435602431,135,000$
7Tristan AllardX100.007373786675494853694855605346465625550231900,000$
8Stefan MatteauX100.007978856278444255705651624847475541550321900,000$
9Ryan SandelinXXX100.007568916468505050654652605046465519540271900,000$
10Ethan Gauthier (R)X100.0076679982695153425037425842474649365302131,266,000$
11Blake Biondi (R)X100.0079729981733533435537436142454551375102431,335,000$
12Filip RoosX100.0078778664777683512546396137474651366002721,268,000$
13Wyatt AamodtX100.007573796773788649254241593847465055600281900,000$
14Charles-Alexis Legault (R)X100.0077777665797178472537415939474650455902231,287,000$
15Konnor Smith (R)X100.0087839981844547412527396337464649255802131,286,000$
16Tobie BissonX100.008077916377515246253740613947474946560291900,000$
17Dan RenoufX100.006774566374626646253938553747464725540311900,000$
18Isaac Belliveau (R)X100.0072708264724139492542415739474649415302331,255,000$
19Lukas Fischer (R)X100.0063714882734951402526385037474643415201931,260,000$
Scratches
1Noel Nordh (R)X100.0080739981743331435037436242454551205102131,266,000$
2Brayden TraceyX100.0074698580693432445038445942444450205002521,146,000$
TEAM AVERAGE99.90757285707357604945444759444746523856
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
1Matt Villalta (R)100.00545366785661516058563047465285580262800,000$
2Sergei Murashov (R)100.005640507461585459616030444456565602231,170,000$
Scratches
TEAM AVERAGE100.0055475876596053606058304645547157
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Benoit Allaire40404040404040TUR8111,000,000$


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
1Chase WheatcroftCrunch (TAM)C84414283-29765106152188509221.81%36194923.2110152546145606141545250.94%1594640010.85210535857
2Avery HayesLightningRW60284068-116630891231534410418.30%28138323.0771219241081014682248.57%9453124020.98310222651
3Chase BradleyCrunch (TAM)LW84253560-115725116137137437518.25%45186222.178111930151022121433244.34%3183932110.64514131557
4Sandis VilmanisCrunch (TAM)LW84142034-2610011215098325514.29%16169620.208816201230004674042.06%6111914000.4027000035
5Eduard SaleCrunch (TAM)LW84171633-201157411094235518.09%19135916.1868141983000193241.74%2183013120.4900010234
6Wyatt AamodtCrunch (TAM)D8432932-25153751091749046503.33%108225426.84369161650220147010%24760000.2800546100
7Tanner DickinsonCrunch (TAM)C84161531-25382010812890226217.78%23176621.033251010304471013148.12%6112521000.3526022126
8Ethan CardwellCrunch (TAM)RW72121830-1938109010012232779.84%26138319.2247111356000002139.66%1163816000.4315101123
9Isak RosenLightningRW38181129-540204486107266516.82%1388423.2845918580112712147.87%1882614010.6611301240
10Charles-Alexis LegaultCrunch (TAM)D8421315-196410951144822124.17%69188722.4715671260009134000%01426000.1611002100
11Stefan MatteauCrunch (TAM)C83358-1213532282692311.54%134895.900440210001180054.64%97310000.3311100000
12Ethan GauthierCrunch (TAM)RW81178-151755083435182.33%10109813.56022137000000050.00%621514000.1518100000
13Isaac BelliveauCrunch (TAM)D84257-71954068186611.11%19126615.081124116000411601100.00%31314000.1100010011
14Konnor SmithCrunch (TAM)D74257-163725255431796.45%3483211.25011341000032000%0823000.1701023000
15Ryan SandelinCrunch (TAM)C/LW/RW62156-3005251219144.76%877612.5200009000070059.38%3287000.1500000000
16Filip RoosCrunch (TAM)D31145-32115294325874.00%3265821.2400003000010000%0615100.1500111010
17Tristan AllardCrunch (TAM)C65235-118048691871011.11%673411.300000101011160050.94%159310000.1434000000
18Tobie BissonCrunch (TAM)D84055-164020591213015160%57177921.1801151110002110000%11632000.0600103000
19Dan RenoufCrunch (TAM)D8404438240412812350%187378.7800005011035000%0513000.1100134000
20Lukas FischerCrunch (TAM)D84011-1239531526230%6101912.140000000002000%025000.0200001000
21Brayden TraceyCrunch (TAM)LW9000000130000%0171.890000000000000%00000000000000
22Noel NordhCrunch (TAM)LW34000-100562110%11323.91000030000000100.00%10200000000000
23Blake BiondiCrunch (TAM)C79000-200020010%0450.5800000000000050.00%80000000000000
Team Total or Average1612188283471-24886038013561882135941276013.83%5872601716.145588143216148281018611247241346.76%3531394405370.362268222232273134
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 VillaltaCrunch (TAM)682529110.8682.453967281621226675320.682446717431
2Dennis HildebyLightning1731040.8703.2310230055423249000.60015170010
3Sergei MurashovCrunch (TAM)50110.8684.361240096838000.5717067000
Team Total or Average902840160.8682.65511428226171796232668484441


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Blake BiondiCrunch (TAM)C242002-04-24USAYes198 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,335,000$47,679$0$0$No1,335,000$1,335,000$-------1,335,000$1,335,000$-------NoNo-------Link
Brayden TraceyCrunch (TAM)LW252001-05-28ABNo186 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,146,000$40,929$0$0$No1,146,000$--------1,146,000$--------No--------Link
Charles-Alexis LegaultCrunch (TAM)D222003-09-05CANYes208 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,287,000$45,964$0$0$No1,287,000$1,287,000$-------1,287,000$1,287,000$-------NoNo-------Link
Chase BradleyCrunch (TAM)LW242002-01-09USAYes180 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,345,000$48,036$0$0$No1,345,000$1,345,000$-------1,345,000$1,345,000$-------NoNo-------Link
Chase WheatcroftCrunch (TAM)C242002-05-28CANNo185 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Dan RenoufCrunch (TAM)D311994-06-01CANNo198 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Eduard SaleCrunch (TAM)LW212005-03-10CZEYes170 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,290,000$46,071$0$0$No1,290,000$1,290,000$-------1,290,000$1,290,000$-------NoNo-------Link
Ethan CardwellCrunch (TAM)RW232002-08-30CANYes180 Lbs5 ft11NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,461,000$52,179$0$0$No1,461,000$1,461,000$-------1,461,000$1,461,000$-------NoNo-------Link
Ethan GauthierCrunch (TAM)RW212005-01-26USAYes182 Lbs6 ft0NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$45,214$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Link
Filip RoosCrunch (TAM)D271999-01-05SWENo200 Lbs6 ft4NoNoN/ANoYes2FalseFalsePro & Farm1,268,000$45,286$0$0$No1,268,000$--------1,268,000$--------No--------Link
Isaac BelliveauCrunch (TAM)D232002-11-26QCYes185 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,255,000$44,821$0$0$No1,255,000$1,255,000$-------1,255,000$1,255,000$-------NoNo-------Link
Konnor SmithCrunch (TAM)D212004-11-06CANYes215 Lbs6 ft6NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,286,000$45,929$0$0$No1,286,000$1,286,000$-------1,286,000$1,286,000$-------NoNo-------Link
Lukas FischerCrunch (TAM)D192006-09-09USAYes185 Lbs6 ft3NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,260,000$45,000$0$0$No1,260,000$1,260,000$-------1,260,000$1,260,000$-------NoNo-------Link
Matt VillaltaCrunch (TAM)G261999-06-03CANYes190 Lbs6 ft3NoNoFree AgentNoNo22024-10-16FalseFalsePro & Farm800,000$28,571$0$0$No800,000$--------800,000$--------No--------Link
Noel NordhCrunch (TAM)LW212005-01-25SWEYes196 Lbs6 ft2NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,266,000$45,214$0$0$No1,266,000$1,266,000$-------1,266,000$1,266,000$-------NoNo-------Link
Ryan SandelinCrunch (TAM)C/LW/RW271999-01-03USANo185 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Sandis VilmanisCrunch (TAM)LW222004-01-23LATYes192 Lbs6 ft1NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,288,000$46,000$0$0$No1,288,000$1,288,000$-------1,288,000$1,288,000$-------NoNo-------Link
Sergei MurashovCrunch (TAM)G222004-04-01RUSYes187 Lbs6 ft2NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,170,000$41,786$0$0$No1,170,000$1,170,000$-------1,170,000$1,170,000$-------NoNo-------Link
Stefan MatteauCrunch (TAM)C321994-02-23USANo211 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Tanner DickinsonCrunch (TAM)C242002-03-05USAYes176 Lbs6 ft0NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,135,000$40,536$0$0$No1,135,000$1,135,000$-------1,135,000$1,135,000$-------NoNo-------Link
Tobie BissonCrunch (TAM)D291997-02-01QUENo207 Lbs6 ft3NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Tristan AllardCrunch (TAM)C232002-06-23ONTNo196 Lbs6 ft2NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Wyatt AamodtCrunch (TAM)D281997-11-22USANo201 Lbs6 ft0NoNoFree AgentNoNo12024-10-16FalseFalsePro & Farm900,000$32,143$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2324.30192 Lbs6 ft22.261,137,304$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chase WheatcroftEduard SaleChase Bradley40122
2Ethan CardwellSandis VilmanisTanner Dickinson30122
3Ethan CardwellTanner DickinsonChase Wheatcroft20122
4Ethan CardwellChase WheatcroftChase Bradley10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Wyatt AamodtFilip Roos40122
2Charles-Alexis LegaultTobie Bisson30122
3Wyatt AamodtLukas Fischer20122
4Isaac BelliveauWyatt Aamodt10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chase WheatcroftEthan CardwellChase Bradley60122
2Eduard SaleSandis VilmanisTanner Dickinson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Wyatt AamodtCharles-Alexis Legault60122
2Tobie BissonIsaac Belliveau40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chase BradleyChase Wheatcroft60122
2Sandis VilmanisTanner Dickinson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Wyatt AamodtCharles-Alexis Legault60122
2Isaac BelliveauTobie Bisson40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chase Bradley60122Wyatt AamodtCharles-Alexis Legault60122
2Chase Wheatcroft40122Tobie BissonLukas Fischer40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ethan CardwellChase Bradley60122
2Chase WheatcroftSandis Vilmanis40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Charles-Alexis LegaultTobie Bisson60122
2Wyatt AamodtIsaac Belliveau40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chase BradleyEthan CardwellChase WheatcroftWyatt AamodtCharles-Alexis Legault
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chase BradleyEthan CardwellChase WheatcroftWyatt AamodtCharles-Alexis Legault
Extra Forwards
Normal PowerPlayPenalty Kill
Chase Bradley, Chase Wheatcroft, Tanner DickinsonChase Wheatcroft, Chase BradleyChase Wheatcroft
Extra Defensemen
Normal PowerPlayPenalty Kill
Charles-Alexis Legault, Wyatt Aamodt, Tobie BissonWyatt AamodtIsaac Belliveau, Wyatt Aamodt
Penalty Shots
Tanner Dickinson, Chase Bradley, Ethan Cardwell, Chase Wheatcroft, Sandis Vilmanis
Goalie
#1 : Matt Villalta, #2 : Sergei Murashov


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
1Admirals2010100046-2100010002111010000025-320.5004711102663762516250481498872771338400.00%40100.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
2Americans2010000168-21000000156-11010000012-110.2506101600266376252825048149887572445303266.67%5260.00%1531111747.54%622131247.41%40886447.22%1354448162596721401050
3Barracuda311000018712010000146-21100000041330.5008132100266376254825048149887521722488337.50%6266.67%0531111747.54%622131247.41%40886447.22%1354448162596721401050
4Bears20200000614-81010000058-31010000016-500.0006915002663762534250481498875714102211100.00%5260.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
5Bruins51400000714-73120000057-22020000027-520.2007121900266376255625048149887842729806350.00%14657.14%0531111747.54%622131247.41%40886447.22%1354448162596721401050
6Canucks51101020972200000204223110100055080.8009112001266376254125048149887953337719222.22%11281.82%0531111747.54%622131247.41%40886447.22%1354448162596721401050
7Checkers2110000023-1110000002021010000003-320.5002460126637625242504814988729921383133.33%30100.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
8Comets2010000114-31000000101-11010000013-210.250123002663762525250481498873884377114.29%20100.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
9Condors53100100141313110010079-22200000074370.7001422360026637625822504814988710224396221838.10%12466.67%1531111747.54%622131247.41%40886447.22%1354448162596721401050
10Eagles21000010835100000102111100000062441.0008101800266376253325048149887231158285240.00%40100.00%1531111747.54%622131247.41%40886447.22%1354448162596721401050
11Griffins2010000125-31000000123-11010000002-210.2502350026637625272504814988730932356116.67%6433.33%0531111747.54%622131247.41%40886447.22%1354448162596721401050
12Gulls522000011213-1210000015413120000079-250.50012203200266376257925048149887802238729444.44%9544.44%0531111747.54%622131247.41%40886447.22%1354448162596721401050
13Heat2020000026-41010000013-21010000013-200.0002460026637625322504814988738192330400.00%9277.78%0531111747.54%622131247.41%40886447.22%1354448162596721401050
14IceHogs2010010036-31010000024-21000010012-110.25036900266376253425048149887241118365120.00%4250.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
15Islanders21000001770110000005411000000123-130.75071118002663762546250481498875618142910220.00%7271.43%1531111747.54%622131247.41%40886447.22%1354448162596721401050
16Marlies3120000058-32110000045-11010000013-220.333581301266376254025048149887621337382150.00%16568.75%0531111747.54%622131247.41%40886447.22%1354448162596721401050
17Monsters21000010523110000004221000001010141.000571201266376254325048149887184840200.00%3166.67%0531111747.54%622131247.41%40886447.22%1354448162596721401050
18Moose2010100034-11010000013-21000100021120.50035800266376252525048149887271011226233.33%30100.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
19Penguins2010010046-21000010034-11010000012-110.25046100026637625192504814988730719344250.00%7271.43%0531111747.54%622131247.41%40886447.22%1354448162596721401050
20Phantoms2010010016-51000010001-11010000015-410.250112002663762511250481498872144304125.00%220.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
21Reign301000111013-3200000118801010000025-330.5001015250026637625682504814988711729265010110.00%8362.50%0531111747.54%622131247.41%40886447.22%1354448162596721401050
22Roadrunners30300000613-71010000025-32020000048-400.00061016002663762561250481498871003030629111.11%10370.00%1531111747.54%622131247.41%40886447.22%1354448162596721401050
23Rocket211000004401010000013-21100000031220.50047111026637625282504814988715721396233.33%330.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
24Senators2010100034-1100010001011010000024-220.50034701266376252225048149887342416314125.00%3233.33%0531111747.54%622131247.41%40886447.22%1354448162596721401050
25Silver Knights420002001394210001008712100010052360.750132134012663762572250481498877826626312541.67%5180.00%1531111747.54%622131247.41%40886447.22%1354448162596721401050
26Stars2010001078-1100000105411010000024-220.500710170026637625482504814988752101226500.00%6183.33%0531111747.54%622131247.41%40886447.22%1354448162596721401050
27Thunderbirds2010010027-51000010012-11010000015-410.25023500266376253325048149887613426265120.00%30100.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
28Wild504010001020-1030300000514-92010100056-120.2001013230026637625942504814988720786508812216.67%10280.00%0531111747.54%622131247.41%40886447.22%1354448162596721401050
29Wolf Pack50300101715-82000010146-23030000039-620.20071118002663762550250481498878827457810110.00%15380.00%1531111747.54%622131247.41%40886447.22%1354448162596721401050
30Wolves21100000514110000005051010000001-120.50057120126637625332504814988717105229100.00%60100.00%1531111747.54%622131247.41%40886447.22%1354448162596721401050
Total84174005868176236-604391402657103123-20418260321173113-40720.4291762724482726637625125225048149887171957482213121935126.42%2016169.65%8531111747.54%622131247.41%40886447.22%1354448162596721401050
_Since Last GM Reset84174005868176236-604391402657103123-20418260321173113-40720.4291762724482726637625125225048149887171957482213121935126.42%2016169.65%8531111747.54%622131247.41%40886447.22%1354448162596721401050
_Vs Conference49132103534101119-182569013245565-1024712022104654-8470.4801011562571526637625707250481498879323264417741123329.46%1033367.96%4531111747.54%622131247.41%40886447.22%1354448162596721401050
_Vs Division2791502422686801446003223739-213590210031292320.59368106174022663762542225048149887562170247396732331.51%601968.33%2531111747.54%622131247.41%40886447.22%1354448162596721401050

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8472W317627244812521719574822131227
All Games
GPWLOTWOTL SOWSOLGFGA
8417405868176236
Home Games
GPWLOTWOTL SOWSOLGFGA
439142657103123
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41826321173113
Last 10 Games
WLOTWOTL SOWSOL
540100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1935126.42%2016169.65%8
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
2504814988726637625
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
531111747.54%622131247.41%40886447.22%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1354448162596721401050


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
212Crunch1Gulls4LBox score
327Wild3Crunch2LBox score
446Silver Knights6Crunch5LXBox score
559Crunch1Silver Knights2LXBox score
769Crunch3Wolf Pack4LBox score
886Wolf Pack5Crunch4LXXBox score
9101Crunch3Canucks2WXBox score
11117Bruins2Crunch0LBox score
12135Condors5Crunch3LBox score
13154Crunch3Condors2WBox score
14160Crunch1Roadrunners4LBox score
15179Canucks1Crunch2WXXBox score
17201Barracuda3Crunch2LXXBox score
18215Crunch0Bruins4LBox score
19226Wild4Crunch1LBox score
20239Crunch2Wild4LBox score
22260Bruins2Crunch0LBox score
24282Wolves0Crunch5WBox score
26300Crunch1Gulls3LBox score
27317Barracuda3Crunch2LBox score
29337Crunch3Roadrunners4LBox score
30351Condors2Crunch1LXBox score
31370Crunch1Heat3LBox score
32382Bears8Crunch5LBox score
33403Islanders4Crunch5WBox score
34416Crunch0Checkers3LBox score
35431Crunch6Eagles2WBox score
36442Monsters2Crunch4WBox score
37460Crunch2Bruins3LBox score
39472Stars4Crunch5WXXBox score
40493Moose3Crunch1LBox score
41508Crunch1Marlies3LBox score
42522Crunch0Wolf Pack2LBox score
43535Canucks1Crunch2WXXBox score
44556Reign4Crunch3LXXBox score
45571Crunch3Rocket1WBox score
46585Crunch0Wolf Pack3LBox score
47596IceHogs4Crunch2LBox score
48615Reign4Crunch5WXXBox score
49631Crunch2Islanders3LXXBox score
51650Crunch1Americans2LBox score
52662Heat3Crunch1LBox score
53681Crunch5Gulls2WBox score
54692Bruins3Crunch5WBox score
55710Crunch1Comets3LBox score
57722Condors2Crunch3WBox score
58745Senators0Crunch1WXBox score
60764Crunch2Reign5LBox score
61776Roadrunners5Crunch2LBox score
62786Crunch2Admirals5LBox score
64807Admirals1Crunch2WXBox score
65820Crunch3Wild2WXBox score
66835Crunch1Penguins2LBox score
67846Americans6Crunch5LXXBox score
68865Phantoms1Crunch0LXBox score
70884Crunch1Monsters0WXXBox score
72901Penguins4Crunch3LXBox score
73921Crunch1Thunderbirds5LBox score
74933Griffins3Crunch2LXXBox score
76949Crunch4Barracuda1WBox score
77963Comets1Crunch0LXXBox score
79983Crunch2Senators4LBox score
80995Checkers0Crunch2WBox score
811010Crunch2Stars4LBox score
831026Wild7Crunch2LBox score
841046Crunch1Phantoms5LBox score
851055Crunch2Moose1WXBox score
861061Thunderbirds2Crunch1LXBox score
881086Gulls2Crunch1LXXBox score
901111Crunch1Bears6LBox score
911123Silver Knights1Crunch3WBox score
921146Crunch4Condors2WBox score
931148Crunch0Wolves1LBox score
941157Wolf Pack1Crunch0LXBox score
961179Marlies5Crunch2LBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
981210Rocket3Crunch1LBox score
991215Crunch0Griffins2LBox score
1011238Crunch0Canucks3LBox score
1021244Marlies0Crunch2WBox score
1031256Crunch4Silver Knights0WBox score
1041269Crunch1IceHogs2LXBox score
1051275Crunch2Canucks0WBox score
1061286Gulls2Crunch4WBox score
1081305Eagles1Crunch2WXXBox score
1091317Crunch-Silver Knights-
1101324Crunch-IceHogs-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance59,39232,100
Attendance PCT69.06%74.65%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2128 - 70.92% 88,715$3,814,728$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,470,914$ 2,615,800$ 2,615,800$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
23,355$ 2,506,632$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 4 32,284$ 129,136$




Crunch Players 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 Players 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