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

Crunch
GP: 19 | W: 12 | L: 7
GF: 66 | GA: 56 | PP%: 13.56% | PK%: 85.48%
GM : Eric Pilon | Morale : 50 | Team Overall : 66

Game Center
Heat
16-4-0, 32pts
5
FINAL
3 Crunch
12-7-0, 24pts
Team Stats
W4StreakL4
9-2-0Home Record6-3-0
7-2-0Home Record6-4-0
9-1-0Last 10 Games3-7-0
3.90Goals Per Game3.47
2.60Goals Against Per Game2.95
19.80%Power Play Percentage13.56%
81.94%Penalty Kill Percentage85.48%
Heat
16-4-0, 32pts
4
FINAL
2 Crunch
12-7-0, 24pts
Team Stats
W4StreakL4
9-2-0Home Record6-3-0
7-2-0Home Record6-4-0
9-1-0Last 10 Games3-7-0
3.90Goals Per Game3.47
2.60Goals Against Per Game2.95
19.80%Power Play Percentage13.56%
81.94%Penalty Kill Percentage85.48%
Team Leaders
Goals
Alexei Morozov
9
Assists
Craig Adams
15
Points
Craig Adams
22
Plus/Minus
Dmitri Mironov
19
Wins
John Grahame
12
Save Percentage
John Grahame
0.887

Team Stats
Goals For
66
3.47 GFG
Shots For
571
30.05 Avg
Power Play Percentage
13.6%
8 GF
Offensive Zone Start
41.0%
Goals Against
56
2.95 GAA
Shots Against
493
25.95 Avg
Penalty Kill Percentage
85.5%%
9 GA
Defensive Zone Start
38.1%
Team Info

General ManagerEric Pilon
CoachBruce Cassidy
DivisionDivision 2
ConferenceEST
Captain
Assistant #1
Assistant #2Scott Mellanby


Arena Info

Capacity3,000
Attendance0
Season Tickets1,200


Roster Info

Pro Team29
Farm Team19
Contract Limit48 / 65
Prospects3


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
1Valery Zelepukin0X100.0050468673767175757076777174778925507103431,450,000$
2Todd Harvey0X100.0099993580757880755773677165585874507102731,150,000$
3Michael Peca0X100.0054389783717070708771688574666939507002831,475,000$
4Steven Reinprecht (R)0X100.0066418071736872789180718066566164507002641,350,000$
5Scott Mellanby (A)27X100.009286466674738063696563747091987506903611,150,000$
6Alexei Morozov (R)95X100.004626997773638080687775717260516450690251681,000$
7Peter Worrell28X100.009999336584698269446567845957516250690251735,000$
8Craig Adams (R)0X100.007769727474667980716766836743487750690251450,000$
9Alyn McCauley (R)10X100.005732967774718764785756766657516950650251600,000$
10Matt Stajan (R)0X100.007470687872716669846765685534358550650183450,000$
11Mikael Andersson0X100.00382699697362726162616070649999850640362650,000$
12Stephane Veilleux (R)0X100.007855757274777966685961655044458050640203450,000$
13Dmitri Mironov0X100.005245926378717469667266816299971507103721,450,000$
14Karlis Skrastins3X100.0093855464778182603555499148645159507102831,450,000$
15Filip Kuba (R)0X100.0061458774817274742576608254635575507002641,450,000$
16Martin Skoula (R)0X100.0069419076806773804468628054495382506902331,050,000$
17Anton Volchenkov (R)0X100.006952677176757370256245824540428250660203450,000$
18Stanislav Neckar0X100.005347927379626858355651755561616050640272675,000$
Scratches
1Antti Laaksonen0X100.004230977472698071615658676375635850630292750,000$
2Sean Pronger0X100.004739997778546958645957676167735850620302625,000$
3Bates Battaglia (R)0X100.007144726777748656545452636462516150610263515,000$
4Jamie Wright0X100.006043886974768163465252666659505550610264650,000$
5Stacy Roest0X100.005932966971717758785250706267536350610281600,000$
6Carlo Colaiacovo (R)0X100.006058777671727164356650744043448250650193450,000$
7Joel Bouchard0X100.004440897675576258465742773461646550630283665,000$
8Andy Delmore (R)0X100.005535906974646852254948725462526350620264650,000$
TEAM AVERAGE100.00645180727569756757645975596260585066
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
1John Grahame0100.00676866787084797878606450546450710273750,000$
2Ty Conklin (R)0100.00626569736766656871686248526450650262450,000$
Scratches
1Dan Blackburn (R)0100.00635554646262655961556042397250580192450,000$
TEAM AVERAGE100.0064636372667170687061624748675065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bruce Cassidy75787680657290CAN37295,000$


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
1Craig AdamsCrunch (TAM)C197152292083868154510.29%437019.5223517470000441045.68%40500001.1900000102
2Alexei MorozovCrunch (TAM)RW199101970003077144211.69%235918.950111748000002056.67%3000011.0600000110
3Steven ReinprechtCrunch (TAM)C194151970021465215377.69%336519.25022749000050062.98%47000001.0400000012
4Valery ZelepukinCrunch (TAM)LW198816122042460143813.33%135718.8110110490000154040.91%2200000.9000000141
5Todd HarveyCrunch (TAM)RW197916-32915632350164714.00%130315.97213949000001043.75%1600001.0500012210
6Matt StajanCrunch (TAM)C1977140552264173017.07%128414.972131348000000150.31%32400000.9800001100
7Peter WorrellCrunch (TAM)LW1931013329560214910366.12%338520.2702212480000401115.00%2000000.6800100012
8Dmitri MironovCrunch (TAM)D19471119204161782123.53%1743322.81145950000049100%000100.5100000101
9Anton VolchenkovCrunch (TAM)D1911011172406310911011.11%2838420.2200009000039100%000000.5700000121
10Stanislav NeckarCrunch (TAM)D19358-27565123625.00%1533717.7601106000025110%000000.4700010001
11Alyn McCauleyCrunch (TAM)LW1935802002219112015.79%428615.07011020000500160.00%1500000.5600000001
12Scott MellanbyCrunch (TAM)RW192571121553162513178.00%125713.5600003000000058.82%1700000.5400010000
13Martin SkoulaCrunch (TAM)D16156-4402210196145.26%1835722.370001138000043000%000000.3400000000
14Michael PecaCrunch (TAM)C19134-400327288233.57%222111.66000030002570051.46%23900000.3600000000
15Filip KubaCrunch (TAM)D15134-460211911369.09%1330320.2500042900007000%000000.2600000010
16Karlis SkrastinsCrunch (TAM)D10134-8180391123350.00%1420220.2600001000022000%000000.3900000100
17Stephane VeilleuxCrunch (TAM)LW19314-520264176917.65%01528.0300000000000033.33%900000.5200000000
18Carlo ColaiacovoCrunch (TAM)D120331803375020%1023819.91000317000025000%000000.2500000000
19Mikael AnderssonCrunch (TAM)RW19101-50001093711.11%21548.1200000000000061.54%1300000.1300000000
20Duvie WestcottLightningD40003401221320%56817.010000000001000%00000000000000
Team Total or Average34266124190541653544036757115941511.56%144582517.0381624112503000242912452.72%158000110.650013391111
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
1John GrahameCrunch (TAM)1912700.8872.811131035346700100190301
2Ty ConklinCrunch (TAM)20000.9202.14560022500000019000
Team Total or Average2112700.8882.781187035549200101919301


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 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
Alexei MorozovCrunch (TAM)RW252004-02-16RUSYes184 Lbs6 ft1NoNoExpansion DraftNoNo12024-08-07FalseFalsePro & Farm681,000$0$0$No---------------------------
Alyn McCauleyCrunch (TAM)LW252004-05-29CANYes202 Lbs6 ft0NoNoFree AgentNoNo12025-09-16FalseFalsePro & Farm600,000$0$0$No---------------------------
Andy DelmoreCrunch (TAM)D262003-12-26CANYes200 Lbs6 ft1NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm650,000$0$0$No650,000$650,000$650,000$------650,000$650,000$650,000$------NoNoNo------
Anton VolchenkovCrunch (TAM)D202009-09-01RUSYes235 Lbs6 ft0NoNoTrade2026-01-28NoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Link
Antti LaaksonenCrunch (TAM)LW292000-10-03FINNo180 Lbs6 ft0NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Bates BattagliaCrunch (TAM)LW262003-12-13USAYes209 Lbs6 ft2NoNoFree AgentNoNo32025-09-30FalseFalsePro & Farm515,000$0$0$No515,000$515,000$-------515,000$515,000$-------NoNo-------
Carlo ColaiacovoCrunch (TAM)D192010-09-01CANYes202 Lbs6 ft1NoNoDraftNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Link
Craig AdamsCrunch (TAM)C252004-04-26CANYes200 Lbs6 ft0NoNoExpansion DraftNoNo12024-08-21FalseFalsePro & Farm450,000$0$0$No---------------------------
Dan BlackburnCrunch (TAM)G192010-03-28CANYes180 Lbs6 ft0NoNoProspectNoNo22025-03-28FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Link
Dmitri MironovCrunch (TAM)D371992-02-09RUSNo217 Lbs6 ft3NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm1,450,000$0$0$No1,450,000$--------1,450,000$--------No--------
Filip KubaCrunch (TAM)D262003-12-29CZEYes226 Lbs6 ft4NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$1,450,000$------1,450,000$1,450,000$1,450,000$------NoNoNo------
Jamie WrightCrunch (TAM)LW262003-05-13CANNo198 Lbs6 ft0NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm650,000$0$0$No650,000$650,000$650,000$------650,000$650,000$650,000$------NoNoNo------
Joel Bouchard (1 Way Contract)Crunch (TAM)D282001-02-09CANNo192 Lbs6 ft2NoNoFree AgentNoNo32025-09-23FalseFalsePro & Farm665,000$665,000$0$No665,000$665,000$-------665,000$665,000$-------NoNo-------
John GrahameCrunch (TAM)G272002-08-31USANo210 Lbs6 ft2NoNoFree Agent2024-08-27NoNo32025-09-20FalseFalsePro & Farm750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Karlis SkrastinsCrunch (TAM)D282001-07-19LETNo210 Lbs6 ft1NoNoFree AgentNoNo32025-03-21FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Martin SkoulaCrunch (TAM)D232006-10-28CZEYes226 Lbs6 ft3NoNoTrade2026-01-28NoNo32025-09-15FalseFalsePro & Farm1,050,000$0$0$No1,050,000$1,050,000$-------1,050,000$1,050,000$-------NoNo-------
Matt StajanCrunch (TAM)C182011-09-01CANYes195 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Link
Michael PecaCrunch (TAM)C282001-02-09CANNo184 Lbs5 ft11NoNoFree Agent2024-06-03NoNo32025-09-20FalseFalsePro & Farm1,475,000$0$0$No1,475,000$1,475,000$-------1,475,000$1,475,000$-------NoNo-------
Mikael AnderssonCrunch (TAM)RW361993-02-09SWENo189 Lbs5 ft11NoNoFree AgentNoNo22025-09-26FalseFalsePro & Farm650,000$0$0$No650,000$--------650,000$--------No--------
Peter WorrellCrunch (TAM)LW252004-08-18CANNo234 Lbs6 ft8NoNoExpansion DraftNoNo12024-08-07FalseFalsePro & Farm735,000$0$0$No---------------------------
Scott MellanbyCrunch (TAM)RW361993-02-09CANNo201 Lbs6 ft1NoNoFree AgentNoNo12025-09-26FalseFalsePro & Farm1,150,000$0$0$No---------------------------
Sean ProngerCrunch (TAM)C301999-02-09CANNo206 Lbs6 ft3NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm625,000$0$0$No625,000$--------625,000$--------No--------
Stacy RoestCrunch (TAM)C282001-05-15CANNo190 Lbs5 ft10NoNoFree AgentNoNo12025-03-25FalseFalsePro & Farm600,000$0$0$No---------------------------
Stanislav NeckarCrunch (TAM)D272002-04-19CZRNo220 Lbs6 ft1NoNoFree AgentNoNo22025-03-25FalseFalsePro & Farm675,000$0$0$No675,000$--------675,000$--------No--------
Stephane VeilleuxCrunch (TAM)LW202009-09-01CANYes200 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-29FalseFalsePro & Farm450,000$0$0$No450,000$450,000$-------450,000$450,000$-------NoNo-------Link
Steven ReinprechtCrunch (TAM)C262003-05-07CANYes195 Lbs6 ft0NoNoFree AgentNoNo42025-09-16FalseFalsePro & Farm1,350,000$0$0$No1,350,000$1,350,000$1,350,000$------1,350,000$1,350,000$1,350,000$------NoNoNo------
Todd HarveyCrunch (TAM)RW272002-04-19CANNo202 Lbs6 ft1NoNoExpansion DraftNoNo32025-03-11FalseFalsePro & Farm1,150,000$0$0$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------
Ty ConklinCrunch (TAM)G262003-03-28USAYes185 Lbs6 ft1NoNoProspectNoNo22025-03-28FalseFalsePro & Farm450,000$0$0$No450,000$--------450,000$--------No--------Link
Valery ZelepukinCrunch (TAM)LW341995-02-09CANNo205 Lbs6 ft1NoNoFree AgentNoNo32025-09-23FalseFalsePro & Farm1,450,000$0$0$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2926.55203 Lbs6 ft12.48816,241$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valery ZelepukinSteven ReinprechtTodd Harvey40014
2Peter WorrellCraig AdamsAlexei Morozov30023
3Alyn McCauleyMatt StajanScott Mellanby25023
4Stephane VeilleuxMichael PecaMikael Andersson5131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitri MironovMartin Skoula35041
2Karlis SkrastinsFilip Kuba35041
3Anton VolchenkovStanislav Neckar30041
4Dmitri MironovAnton Volchenkov0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Valery ZelepukinSteven ReinprechtAlexei Morozov50014
2Peter WorrellMatt StajanTodd Harvey50014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Craig AdamsDmitri Mironov50041
2Filip KubaMartin Skoula50041
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael PecaPeter Worrell50050
2Craig AdamsAlyn McCauley50050
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Karlis SkrastinsDmitri Mironov50050
2Anton VolchenkovMartin Skoula50050
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Peca50050Karlis SkrastinsDmitri Mironov50140
2Craig Adams50050Anton VolchenkovMartin Skoula50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Steven ReinprechtScott Mellanby50023
2Matt StajanTodd Harvey50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dmitri MironovAnton Volchenkov50041
2Karlis SkrastinsFilip Kuba50041
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Valery ZelepukinSteven ReinprechtAlexei MorozovDmitri MironovFilip Kuba
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alyn McCauleyMichael PecaCraig AdamsDmitri MironovKarlis Skrastins
Extra Forwards
Normal PowerPlayPenalty Kill
Valery Zelepukin, Alexei Morozov, Michael PecaAlexei Morozov, Valery ZelepukinMichael Peca
Extra Defensemen
Normal PowerPlayPenalty Kill
Dmitri Mironov, Karlis Skrastins, Anton VolchenkovDmitri MironovDmitri Mironov, Karlis Skrastins
Penalty Shots
Alexei Morozov, Scott Mellanby, Craig Adams, Alyn McCauley, Todd Harvey
Goalie
#1 : John Grahame, #2 : Ty Conklin


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
1Citadelles44000000208122200000094522000000114781.00020355501232316415617318618725973428861915.26%90100.00%033964852.31%31560252.33%17933054.24%491339444141253132
2Heat404000001019-92020000059-420200000510-500.0001019291023231641001731861872510835368016318.75%18572.22%033964852.31%31560252.33%17933054.24%491339444141253132
3Senators440000001679220000009452200000073481.00016304601232316413117318618725872522976233.33%11190.91%033964852.31%31560252.33%17933054.24%491339444141253132
4Wolfpack743000002022-23210000067-1422000001415-180.57120406001232316418417318618725201507917718211.11%24387.50%033964852.31%31560252.33%17933054.24%491339444141253132
Total1912700000665610963000002924510640000037325240.632661241901323231645711731861872549314416544059813.56%62985.48%033964852.31%31560252.33%17933054.24%491339444141253132
_Since Last GM Reset1912700000665610963000002924510640000037325240.632661241901323231645711731861872549314416544059813.56%62985.48%033964852.31%31560252.33%17933054.24%491339444141253132
_Vs Conference1512300000563719761000002415986200000322210240.800561051610323231644711731861872538510912936043511.63%44490.91%033964852.31%31560252.33%17933054.24%491339444141253132
_Vs Division11830000040301054100000151146420000025196160.727407511502232316434017318618725298841072633738.11%33390.91%033964852.31%31560252.33%17933054.24%491339444141253132

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1924L46612419057149314416544013
All Games
GPWLOTWOTL SOWSOLGFGA
1912700006656
Home Games
GPWLOTWOTL SOWSOLGFGA
96300002924
Visitor Games
GPWLOTWOTL SOWSOLGFGA
106400003732
Last 10 Games
WLOTWOTL SOWSOL
172000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
59813.56%62985.48%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
173186187252323164
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
33964852.31%31560252.33%17933054.24%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
491339444141253132


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
14Citadelles0Crunch4WBoxScore
212Citadelles4Crunch5WXBoxScore
320Crunch6Citadelles1WBoxScore
428Crunch5Citadelles3WBoxScore
858Senators1Crunch3WBoxScore
962Senators3Crunch6WBoxScore
1066Crunch3Senators0WBoxScore
1170Crunch4Senators3WBoxScore
1585Crunch5Wolfpack4WXBoxScore
1687Crunch3Wolfpack4LBoxScore
1789Wolfpack0Crunch1WBoxScore
1891Wolfpack3Crunch0LBoxScore
1993Crunch3Wolfpack5LBoxScore
2095Wolfpack4Crunch5WXBoxScore
2197Crunch3Wolfpack2WXBoxScore
2299Crunch2Heat4LBoxScore
23100Crunch3Heat6LBoxScore
24101Heat5Crunch3LBoxScore
25102Heat4Crunch2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price255
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-9 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 2,300,600$ 2,300,600$ 95,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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