Login

Crunch
GP: 86 | W: 40 | L: 37 | OTL: 9 | P: 89
GF: 251 | GA: 294 | PP%: 29.05% | PK%: 72.88%
GM : Alex Whiddon | Morale : 47 | Team Overall : 58
Next Games #1341 vs Canucks
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Stars
51-27-7, 109pts
4
FINAL
2 Crunch
40-37-9, 89pts
Team Stats
W6StreakL2
25-12-6Home Record22-19-2
26-15-1Home Record18-18-7
9-1-0Last 10 Games2-7-1
4.15Goals Per Game2.92
3.36Goals Against Per Game3.42
32.07%Power Play Percentage29.05%
74.18%Penalty Kill Percentage72.88%
Crunch
40-37-9, 89pts
4
FINAL
11 Wild
61-15-10, 132pts
Team Stats
L2StreakW3
22-19-2Home Record33-5-5
18-18-7Home Record28-10-5
2-7-1Last 10 Games9-0-1
2.92Goals Per Game4.33
3.42Goals Against Per Game2.67
29.05%Power Play Percentage23.83%
72.88%Penalty Kill Percentage77.61%
Crunch
40-37-9, 89pts
Day 108
Canucks
25-57-4, 54pts
Team Stats
L2StreakW1
22-19-2Home Record14-29-0
18-18-7Away Record11-28-4
2-7-1Last 10 Games3-7-0
2.92Goals Per Game2.84
3.42Goals Against Per Game2.84
29.05%Power Play Percentage29.66%
72.88%Penalty Kill Percentage64.09%
Reign
42-33-11, 95pts
Day 109
Crunch
40-37-9, 89pts
Team Stats
W1StreakL2
22-17-4Home Record22-19-2
20-16-7Away Record18-18-7
4-4-2Last 10 Games2-7-1
2.95Goals Per Game2.92
3.36Goals Against Per Game2.92
30.83%Power Play Percentage29.05%
73.23%Penalty Kill Percentage72.88%
Crunch
40-37-9, 89pts
Day 110
Condors
60-19-8, 128pts
Team Stats
L2StreakW1
22-19-2Home Record29-9-4
18-18-7Away Record31-10-4
2-7-1Last 10 Games7-2-1
2.92Goals Per Game4.59
3.42Goals Against Per Game4.59
29.05%Power Play Percentage24.14%
72.88%Penalty Kill Percentage71.91%
Team Leaders
Gage QuinneyGoals
Gage Quinney
38
Cameron HughesAssists
Cameron Hughes
69
Cameron HughesPoints
Cameron Hughes
97
Gage QuinneyPlus/Minus
Gage Quinney
7
Calvin PickardWins
Calvin Pickard
26
Calvin PickardSave Percentage
Calvin Pickard
0.862

Team Stats
Goals For
251
2.92 GFG
Shots For
1637
19.03 Avg
Power Play Percentage
29.0%
61 GF
Offensive Zone Start
34.2%
Goals Against
294
3.42 GAA
Shots Against
1928
22.42 Avg
Penalty Kill Percentage
72.9%%
64 GA
Defensive Zone Start
37.3%
Team Info

General ManagerAlex Whiddon
CoachJohn Stevens
DivisionDivision 1
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,233
Season Tickets1,500


Roster Info

Pro Team27
Farm Team18
Contract Limit45 / 100
Prospects40


Team History

This Season40-37-9 (89PTS)
History173-145-38 (0.486%)
Playoff Appearances3
Playoff Record (W-L)2-4
Stanley Cup0


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
1Andreas JohnssonXX100.0065428782686577704270616079686861746602921,896,000$
2Michael Vecchione (R)XX98.007569886669778066806467636147466472640312750,000$
3Gage QuinneyXX98.007772906272626170806769666254546479640281984,000$
4Cameron HughesXX98.006560746560747670817065605957576179640271750,000$
5Nils Aman (R)X98.006742926669638559676558722555556276630233925,000$
6Joseph GambardellaX99.0077699764697478615062586354474762626103111,213,000$
7Wayne SimmondsXX100.009099337274486357266156586187905745610351968,000$
8Gerald MayhewXX100.006359726259788363795565596160606077610311974,000$
9Jesper Froden (R)X100.0070428868635674612572546625474762526002911,213,000$
10Justin Richards (R)XX100.0070697663697781607660566053464660476002611,204,000$
11Sean Malone (R)X100.007270796470626361785662616046466054590282750,000$
12Clark BishopXX100.0072727767726770567148566454595959295902811,200,000$
13Brayden Tracey (R)X100.007269837170717557505456605345456048590221870,341$
14Justin Barron (R)X100.007744868078707469256755692551516078670221982,334$
15Filip Roos (R)X100.006943926576696969255148692548485776630241969,000$
16Jacob LarssonX100.0073727477727177522543436439676752616302612,108,000$
17Anthony BitettoX100.007477657077717749253840623967685068610332750,000$
18William LagessonX100.007373807273677055254648614753535667610281968,000$
19Steven SantiniX100.007676856376758346253439623858595163600292750,000$
Scratches
1Ville Petman (R)XX100.0072659268667682557050556153454559245802411,194,000$
2Joseph CramarossaX100.006070366770585858745458555547475620560311750,000$
3Maxim Marushev (R)X100.007466926066707650634747614544445520550251773,619$
4Brian LashoffX100.008080836380515346253539673764655120580332750,000$
5Tyler Wotherspoon (R)X100.007874906174707549254340613945455320580312750,000$
6Ole Julian Bjorgvik Holm (R)X100.007872916772565944253439603744445019560213896,667$
TEAM AVERAGE99.64736680677167735849545363475454585361
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
1Tyler Parks (R)97.004851648947535559534830454548845603111,140,000$
2Lightning Goalie100.001111110101111114302511,000,000$
Scratches
TEAM AVERAGE98.5025263345242728302725162323254930
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Stevens69544566755961CAN521750,000$


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
1Cameron HughesCrunch (TAM)C/LW86286997-1466201181892406513011.67%37189622.06727344017001161550259.48%13823633001.02472206312
2Gage QuinneyCrunch (TAM)C/LW803835737383091110172539822.09%25159219.91121426341241015589262.29%1753023010.9202024376
3Andreas JohnssonCrunch (TAM)LW/RW74373471-2806282177609620.90%23118416.00981727650003564143.64%1655127011.2016000842
4Michael VecchioneCrunch (TAM)C/RW77313869-286650871311676011018.56%44177923.12118192514100061360257.23%3393946000.7847424344
5Justin BarronCrunch (TAM)D86114657-2025157015616059786.88%115214624.9687153218101111213300%04270000.5300012411
6Nils AmanCrunch (TAM)C86223254-3312081180135448016.30%30180220.96268711811271047153.11%11112327010.6014000323
7Gerald MayhewCrunch (TAM)C/RW86211738-276915104127102357320.59%26152817.77358791000005161.45%832818000.5012102312
8Joseph GambardellaCrunch (TAM)LW66132033-1930307810266185419.70%28136420.671011300223852234.29%351922000.4800312116
9Wayne SimmondsCrunch (TAM)LW/RW63151732-1023310512182115416713.04%24110217.5016715962022481036.17%943914000.58224710101
10Jacob LarssonCrunch (TAM)D8642731-916680861337730295.19%81202123.5136911169000116310100.00%11451000.3100385121
11Filip RoosCrunch (TAM)D8631619-63010381184215157.14%67170319.8110111230222137000%01231000.2200101001
12Sean MaloneCrunch (TAM)C685131869559792591720.00%1081712.020000120000260055.93%23695000.4400001111
13Anthony BitettoCrunch (TAM)D8611314-1511535971133516242.86%51177820.6813451330111141010%11340000.1600025011
14Justin RichardsCrunch (TAM)C/RW668311-6401041454282119.05%1468010.302135361011300052.34%1071112000.3200020001
15Brayden TraceyCrunch (TAM)LW61426-19520302651715.38%43135.1400005000002023.08%1353000.3800001002
16Jesper FrodenCrunch (TAM)RW66325-2003027142721.43%44677.08000018000000040.00%5710000.2100000000
17Ville PetmanCrunch (TAM)C/LW42134-175161681512.50%22816.6900003000111058.62%2921000.2800001010
18William LagessonCrunch (TAM)D86134-213010356913327.69%32120914.0600003000026000%0715100.0700002000
19Steven SantiniCrunch (TAM)D86044-17341039708330%33116813.590000100008000%0223000.0701011001
20Brian LashoffCrunch (TAM)D310111756123100%92568.2800001000012000%014000.0800001000
21Joseph CramarossaCrunch (TAM)C20011-4391522198250%126413.2400015000100037.93%2941000.0800120000
22Clark BishopCrunch (TAM)C/LW37000020312000%0431.1700000000000050.00%40000000000000
23Ole Julian Bjorgvik HolmCrunch (TAM)D20000-155000000%0150.790000100000000%00000000010000
24Tyler WotherspoonCrunch (TAM)D450001003110200%22134.740000000005000%02000000000000
Team Total or Average1590246396642-221104046013071902163753293115.03%6622563116.12619115221115365813501416351255.34%3809396476130.501331193142342845
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
1Calvin PickardLightning51261960.8623.162958041561132580200.61118510100
2Tyler ParksCrunch (TAM)41141530.8582.97214026106746432110.727113551331
3Lightning GoalieCrunch (TAM)60300.42913.88121002849200000035000
Team Total or Average98403790.8503.3352202102901927103231298686431


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 Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Andreas JohnssonCrunch (TAM)LW/RW291994-11-20No194 Lbs5 ft10NoNoNoNo2Pro & Farm1,896,000$131,896$3,849,000$267,757$0$0$No1,896,000$Link / NHL Link
Anthony BitettoCrunch (TAM)D331990-07-15No210 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$52,174$750,000$52,174$0$0$No750,000$Link / NHL Link
Brayden TraceyCrunch (TAM)LW222001-05-28Yes186 Lbs6 ft1NoNoNoNo1Pro & Farm870,341$60,545$870,341$60,545$0$0$NoLink
Brian LashoffCrunch (TAM)D331990-07-16No215 Lbs6 ft3NoNoNoNo2Pro & Farm750,000$52,174$750,000$52,174$0$0$No750,000$Link / NHL Link
Cameron HughesCrunch (TAM)C/LW271996-10-09No160 Lbs5 ft11NoNoNoNo1Pro & Farm750,000$52,174$750,000$52,174$0$0$NoLink / NHL Link
Clark BishopCrunch (TAM)C/LW281996-03-28No199 Lbs6 ft1NoNoNoNo1Pro & Farm1,200,000$83,478$1,200,000$83,478$0$0$NoLink / NHL Link
Filip RoosCrunch (TAM)D241999-05-01Yes190 Lbs6 ft4NoNoNoNo1Pro & Farm969,000$67,409$969,000$67,409$0$0$NoLink
Gage QuinneyCrunch (TAM)C/LW281995-07-29No200 Lbs5 ft11NoNoNoNo1Pro & Farm984,000$68,452$984,000$68,452$0$0$NoLink / NHL Link
Gerald MayhewCrunch (TAM)C/RW311992-12-31No166 Lbs5 ft9NoNoNoNo1Pro & Farm974,000$67,757$974,000$67,757$0$0$NoLink / NHL Link
Jacob LarssonCrunch (TAM)D261997-04-29No190 Lbs6 ft2NoNoNoNo1Pro & Farm2,108,000$146,643$750,000$52,174$0$0$NoLink / NHL Link
Jesper FrodenCrunch (TAM)RW291994-09-21Yes176 Lbs5 ft10NoNoNoNo1Pro & Farm1,213,000$84,383$1,213,000$84,383$0$0$NoLink
Joseph CramarossaCrunch (TAM)C311992-10-26No192 Lbs6 ft0NoNoNoNo1Pro & Farm750,000$52,174$750,000$52,174$0$0$NoLink / NHL Link
Joseph GambardellaCrunch (TAM)LW311993-01-12No196 Lbs5 ft10NoNoNoNo1Pro & Farm1,213,000$84,383$1,213,000$84,383$0$0$NoLink / NHL Link
Justin BarronCrunch (TAM)D222001-11-15Yes201 Lbs6 ft2NoNoNoNo1Pro & Farm982,334$68,336$982,334$68,336$0$0$NoLink
Justin RichardsCrunch (TAM)C/RW261998-03-17Yes190 Lbs5 ft11NoNoNoNo1Pro & Farm1,204,000$83,757$1,204,000$83,757$0$0$NoLink
Lightning GoalieCrunch (TAM)G251998-12-19 6:39:52 AMNo300 Lbs5 ft4NoNoNoNo1Pro & Farm1,000,000$69,565$1,000,000$69,565$0$0$No
Maxim MarushevCrunch (TAM)C251999-01-01Yes176 Lbs6 ft1NoNoNoNo1Pro & Farm773,619$53,817$773,619$53,817$0$0$NoLink
Michael VecchioneCrunch (TAM)C/RW311993-02-25Yes195 Lbs5 ft10NoNoNoNo2Pro & Farm750,000$52,174$750,000$52,174$0$0$No750,000$Link / NHL Link
Nils AmanCrunch (TAM)C232000-07-02Yes179 Lbs6 ft2NoNoNoNo3Pro & Farm925,000$64,348$925,000$64,348$0$0$No925,000$925,000$
Ole Julian Bjorgvik HolmCrunch (TAM)D212002-05-23Yes190 Lbs6 ft2NoNoNoNo3Pro & Farm896,667$62,377$896,667$62,377$0$0$No896,667$896,667$
Sean MaloneCrunch (TAM)C281995-04-30Yes190 Lbs6 ft0NoNoNoNo2Pro & Farm750,000$52,174$750,000$52,174$0$0$No750,000$Link / NHL Link
Steven SantiniCrunch (TAM)D291995-03-07No205 Lbs6 ft2NoNoNoNo2Pro & Farm750,000$52,174$750,000$52,174$0$0$No750,000$Link / NHL Link
Tyler ParksCrunch (TAM)G311992-05-09Yes216 Lbs6 ft6NoNoNoNo1Pro & Farm1,140,000$79,304$1,140,000$79,304$0$0$NoLink
Tyler WotherspoonCrunch (TAM)D311993-03-12Yes203 Lbs6 ft1NoNoNoNo2Pro & Farm750,000$52,174$750,000$52,174$0$0$No750,000$Link / NHL Link
Ville PetmanCrunch (TAM)C/LW242000-01-18Yes181 Lbs5 ft10NoNoNoNo1Pro & Farm1,194,000$83,061$1,194,000$83,061$0$0$NoLink
Wayne SimmondsCrunch (TAM)LW/RW351988-08-26No185 Lbs6 ft2NoNoNoNo1Pro & Farm968,000$67,339$968,000$67,339$0$0$NoLink / NHL Link
William LagessonCrunch (TAM)D281996-02-22No196 Lbs6 ft2NoNoNoNo1Pro & Farm968,000$67,339$968,000$67,339$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2727.81196 Lbs6 ft01.411,017,739$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Joseph GambardellaCameron HughesGage Quinney35122
2Michael VecchioneNils AmanJustin Richards30122
3Michael VecchioneNils AmanGerald Mayhew30122
4Nils AmanCameron HughesMichael Vecchione5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin BarronJacob Larsson40122
2Anthony BitettoFilip Roos30122
3William LagessonSteven Santini20122
4Justin BarronJacob Larsson10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael VecchioneCameron HughesGage Quinney60122
2Cameron HughesNils AmanJustin Richards40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin BarronJacob Larsson60122
2Anthony BitettoFilip Roos40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Cameron HughesMichael Vecchione60122
2Nils AmanCameron Hughes40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin BarronJacob Larsson60122
2Anthony BitettoFilip Roos40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Cameron Hughes60122Justin BarronJacob Larsson60122
2Nils Aman40122Anthony BitettoFilip Roos40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Cameron HughesMichael Vecchione60122
2Nils AmanCameron Hughes40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Justin BarronJacob Larsson60122
2Anthony BitettoFilip Roos40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael VecchioneCameron HughesGage QuinneyJustin BarronJacob Larsson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael VecchioneCameron HughesGage QuinneyJustin BarronJacob Larsson
Extra Forwards
Normal PowerPlayPenalty Kill
Justin Richards, Gerald Mayhew, Cameron HughesJustin Richards, Gerald MayhewJustin Richards
Extra Defensemen
Normal PowerPlayPenalty Kill
Jacob Larsson, Filip Roos, Justin BarronJustin BarronJacob Larsson, Justin Barron
Penalty Shots
Gerald Mayhew, Michael Vecchione, Cameron Hughes, Nils Aman, Justin Richards
Goalie
#1 : Tyler Parks, #2 : Lightning Goalie


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
1Admirals211000001011-11010000069-31100000042220.500101626004294102213832358171053472416304125.00%8362.50%1746128757.96%751140453.49%611107656.78%1488549161994221161081
2Americans2020000014-31010000002-21010000012-100.0001231042941022118323581710532592528500.00%5180.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
3Barracuda21001000633110000002021000100043141.0006101601429410221433235817105319318266466.67%4175.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
4Bears2020000016-51010000013-21010000003-300.00011200429410221273235817105338131624000%8275.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
5Bruins6310100122166321000001165310010011110190.750223557014294102211333235817105312235838614428.57%14471.43%1746128757.96%751140453.49%611107656.78%1488549161994221161081
6Canucks512011001923-4311010001314-12010010069-350.5001930490042941022110932358171053107371118012325.00%18666.67%0746128757.96%751140453.49%611107656.78%1488549161994221161081
7Checkers20200000616-1010100000312-91010000034-100.0006915004294102213932358171053361137345120.00%6350.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
8Comets22000000725110000004221100000030341.0007101701429410221393235817105320913408337.50%40100.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
9Condors513010001828-1030300000922-132100100096340.400183250004294102211333235817105317864727215533.33%16381.25%0746128757.96%751140453.49%611107656.78%1488549161994221161081
10Eagles2010001045-11010000013-21000001032120.50044800429410221243235817105341176226233.33%3166.67%0746128757.96%751140453.49%611107656.78%1488549161994221161081
11Griffins220000001129110000002021100000092741.00011223301429410221363235817105334719355120.00%7185.71%0746128757.96%751140453.49%611107656.78%1488549161994221161081
12Gulls62101110191363110001010643100110097290.750192645014294102211103235817105386351089814321.43%9455.56%0746128757.96%751140453.49%611107656.78%1488549161994221161081
13Heat3120000029-71010000015-42110000014-320.333235014294102214532358171053522633457114.29%9366.67%0746128757.96%751140453.49%611107656.78%1488549161994221161081
14IceHogs2110000089-11010000069-31100000020220.50081018014294102214932358171053411520254375.00%50100.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
15Islanders21100000810-21010000036-31100000054120.500811190042941022136323581710536418383311545.45%9366.67%1746128757.96%751140453.49%611107656.78%1488549161994221161081
16Marlies30300000414-102020000039-61010000015-400.000471100429410221503235817105385383056600.00%100100.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
17Monsters21000010734100000104311100000030341.00071118014294102215432358171053612714406233.33%2150.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
18Moose21000100330110000002111000010012-130.750347004294102212632358171053301238375240.00%40100.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
19Penguins20101000612-6100010004311010000029-720.5006101600429410221403235817105361164630400.00%9366.67%1746128757.96%751140453.49%611107656.78%1488549161994221161081
20Phantoms22000000514110000003121100000020241.00058130142941022131323581710531546214125.00%3166.67%0746128757.96%751140453.49%611107656.78%1488549161994221161081
21Reign1000010012-1000000000001000010012-110.5001230042941022183235817105373218100.00%10100.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
22Roadrunners21100000550110000002021010000035-220.500571201429410221423235817105346158327228.57%4250.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
23Rocket21100000330110000002111010000012-120.5003470042941022127323581710532576332150.00%3166.67%0746128757.96%751140453.49%611107656.78%1488549161994221161081
24Senators2010010069-31000010045-11010000024-210.2506915004294102213032358171053481713344250.00%4175.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
25Silver Knights51300100151412110000010553020010059-430.300152338004294102211073235817105313142427911327.27%16568.75%0746128757.96%751140453.49%611107656.78%1488549161994221161081
26Stars2010000147-31010000024-21000000123-110.2504711004294102214232358171053822430286116.67%10280.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
27Thunderbirds21100000910-1110000006421010000036-320.50091625004294102213032358171053722017286233.33%6183.33%0746128757.96%751140453.49%611107656.78%1488549161994221161081
28Wild604000111936-17301000111214-230300000722-1530.250193251004294102211333235817105321469708310220.00%20670.00%1746128757.96%751140453.49%611107656.78%1488549161994221161081
29Wolf Pack631010101712532000010138531101000440100.83317284500429410221108323581710539436698617635.29%11463.64%0746128757.96%751140453.49%611107656.78%1488549161994221161081
30Wolves2010100056-1100010003211010000024-220.500571200429410221303235817105347936245120.00%8275.00%0746128757.96%751140453.49%611107656.78%1488549161994221161081
Total86273708653251294-4343151903141142159-1743121805512109135-26890.5172513966471104294102211637323581710531928662104213072106129.05%2366472.88%5746128757.96%751140453.49%611107656.78%1488549161994221161081
_Since Last GM Reset86273708653251294-4343151903141142159-1743121805512109135-26890.5172513966471104294102211637323581710531928662104213072106129.05%2366472.88%5746128757.96%751140453.49%611107656.78%1488549161994221161081
_Vs Conference53171907442171177-6271090214110397626710053016880-12620.5851712674380642941022111053235817105311934056758061284232.81%1343871.64%2746128757.96%751140453.49%611107656.78%1488549161994221161081
_Vs Division271115053328092-121378010314552-71447043013540-5430.796801262060342941022155532358171053580210386418661928.79%732269.86%0746128757.96%751140453.49%611107656.78%1488549161994221161081

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8689L22513966471637192866210421307110
All Games
GPWLOTWOTL SOWSOLGFGA
8627378653251294
Home Games
GPWLOTWOTL SOWSOLGFGA
4315193141142159
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4312185512109135
Last 10 Games
WLOTWOTL SOWSOL
270100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2106129.05%2366472.88%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
32358171053429410221
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
746128757.96%751140453.49%611107656.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1488549161994221161081


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
112Bruins3Crunch7BWBoxScore
227Crunch3Gulls4ALXBoxScore
445Crunch5Condors4AWXBoxScore
560Canucks1Crunch2BWXBoxScore
676Condors9Crunch5BLBoxScore
897Wild4Crunch5BWXXBoxScore
9111Crunch3Wild6ALBoxScore
10128Wolf Pack4Crunch5BWXXBoxScore
11137Crunch2Canucks4ALBoxScore
12158Crunch0Heat4ALBoxScore
13165Crunch1Silver Knights2ALBoxScore
14181Silver Knights3Crunch2BLBoxScore
15201Wild6Crunch5BLXXBoxScore
16208Crunch4Bruins3AWBoxScore
18227Gulls1Crunch5BWBoxScore
19242Crunch5Gulls3AWBoxScore
20256Crunch4Bruins3AWXBoxScore
21270Canucks5Crunch10BWBoxScore
22289Crunch2Wolf Pack1AWXBoxScore
23299Bruins3Crunch2BLBoxScore
24319Penguins3Crunch4BWXBoxScore
25336Crunch2Wolves4ALBoxScore
26337Crunch3Thunderbirds6ALBoxScore
27360Wild4Crunch2BLBoxScore
28372Crunch0Bears3ALBoxScore
30394Phantoms1Crunch3BWBoxScore
32409Crunch1Reign2ALXBoxScore
33422Eagles3Crunch1BLBoxScore
35441Crunch2Stars3ALXXBoxScore
36457Gulls4Crunch3BLBoxScore
37475IceHogs9Crunch6BLBoxScore
39489Crunch1Gulls0AWXBoxScore
40504Checkers12Crunch3BLBoxScore
41521Crunch3Bruins4ALXXBoxScore
42535Crunch1Heat0AWBoxScore
43549Gulls1Crunch2BWXXBoxScore
45570Crunch1Americans2ALBoxScore
46582Senators5Crunch4BLXBoxScore
47604Moose1Crunch2BWBoxScore
48622Crunch3Monsters0AWBoxScore
49633Condors9Crunch3BLBoxScore
50644Crunch4Barracuda3AWXBoxScore
52665Canucks8Crunch1BLBoxScore
54684Bruins0Crunch2BWBoxScore
56713Heat5Crunch1BLBoxScore
57724Crunch3Comets0AWBoxScore
59746Admirals9Crunch6BLBoxScore
60759Crunch1Rocket2ALBoxScore
61774Crunch4Admirals2AWBoxScore
62788Griffins0Crunch2BWBoxScore
64806Crunch2Phantoms0AWBoxScore
65820Monsters3Crunch4BWXXBoxScore
66838Wolves2Crunch3BWXBoxScore
68862Crunch2Silver Knights3ALXBoxScore
69871Condors4Crunch1BLBoxScore
70887Crunch1Moose2ALXBoxScore
71899Roadrunners0Crunch2BWBoxScore
73920Crunch0Wild5ALBoxScore
74931Wolf Pack2Crunch4BWBoxScore
76947Crunch5Islanders4AWBoxScore
77964Thunderbirds4Crunch6BWBoxScore
78979Crunch1Marlies5ALBoxScore
79996Rocket1Crunch2BWBoxScore
801008Crunch0Wolf Pack2ALBoxScore
811023Americans2Crunch0BLBoxScore
821041Crunch2Wolf Pack1AWBoxScore
831052Crunch2Silver Knights4ALBoxScore
841063Bears3Crunch1BLBoxScore
851081Crunch3Roadrunners5ALBoxScore
871093Wolf Pack2Crunch4BWBoxScore
891120Comets2Crunch4BWBoxScore
901141Crunch4Condors2AWBoxScore
911142Crunch2IceHogs0AWBoxScore
921158Barracuda0Crunch2BWBoxScore
931181Marlies2Crunch1BLBoxScore
941191Crunch9Griffins2AWBoxScore
951199Crunch3Checkers4ALBoxScore
971218Marlies7Crunch2BLBoxScore
981233Crunch4Canucks5ALXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
991243Crunch2Senators4ALBoxScore
1001255Silver Knights2Crunch8BWBoxScore
1021278Crunch2Penguins9ALBoxScore
1031287Islanders6Crunch3BLBoxScore
1041301Crunch3Eagles2AWXXBoxScore
1061315Stars4Crunch2BLBoxScore
1071325Crunch4Wild11ALBoxScore
1081341Crunch-Canucks-
1091353Reign-Crunch-
1101359Crunch-Condors-
1141393Silver Knights-Crunch-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance63,38332,654
Attendance PCT73.70%75.94%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
2 2233 - 74.45% 93,843$4,035,239$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,169,802$ 2,747,896$ 2,807,396$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
23,895$ 2,471,993$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
187,686$ 8 30,416$ 243,328$




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
1Cameron Hughes26291148239-1219941248060315.09%87507919.3923497284358225558.93%10.94721
2Joel Kellman1794778125-2717521821934113.78%48283215.821626426921366354.33%10.88417
3Mike Vecchione1655664120-2513020322430818.18%63326219.771518333500094558.60%10.74410
4Blake Lizotte563763100122510511924315.23%28117521.00919284720263359.91%21.7002
5Jordan Weal90455196-369019614235712.61%55204522.729162550437166255.92%20.94612

Crunch Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jonas Johansson19310067210.8882.59112661025487433425831340.81497
2Calvin Pickard66262370.8603.313331041841318688310.57121
3Mat Robson63242670.8622.673440241531108651030.69213
4Matt Murray34211030.8603.51193202113808439301.00017
5Tyler Parks41141530.8582.97214026106746432110.72711

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
Regular Season
202090254206953187245-5845132101640102127-254512210531385118-33841873014885935637817136926948759145179161893516101804122.78%2115972.04%4535116046.12%644134148.02%44593547.59%14754971696101122781134
2021902739054105272302-3045111704373143151-845162201132129151-2293272416688275193113222076520737794792364761141223222107033.33%2727672.06%13699141849.29%753151849.60%529116345.49%162267217839912079996
2022924527035752752264946221302333139121184623140124213610531120275420695112599710915192048563178369206969880317442296628.82%2447071.31%10785146053.77%734143651.11%580106754.36%16496641724101022111093
202386273708653251294-4343151903141142159-1743121805512109135-26892513966471104294102211637323581710531928662104213072106129.05%2366472.88%5746128757.96%751140453.49%611107656.78%1488549161994221161081
Total Regular Season3581241450222427169851067-82179617001013187526558-3217963750121199459509-5038698515332518938187347402757002159724362878246815227394192698382923828.71%96326972.07%322765532551.92%2882569950.57%2165424151.05%623523836822395586864305
Playoff
2022624000001517-23120000056-1312000001011-141521360024901332752486198886812819421.05%18666.67%15311346.90%5511747.01%497565.33%107441326212764
Total Playoff624000001517-23120000056-1312000001011-141521360024901332752486198886812819421.05%18666.67%15311346.90%5511747.01%497565.33%107441326212764

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
16549301092222.73%313522.511122000000100.00%11.3300
26156021018147.14%711719.59123400000051.61%01.0200
3622430108825.00%58414.06000000020069.57%00.9500
46123-311178137.69%211919.88011110111060.00%00.5000
56213-221191711.76%311719.61101601110060.00%00.5100

Crunch Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
162310.9142.7836700171981250000