Sound Tigers

GP: 72 | W: 44 | L: 22 | OTL: 6 | P: 94
GF: 252 | GA: 153 | PP%: 24.13% | PK%: 84.99%
GM : Pascal Labarre | Morale : 50 | Team Overall : 62

Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SP
1Matthew HighmoreX100.006536826470818363746261766466675650650
2Mathieu OlivierX100.008184566082768261626061665865674250630
3Josh DunneX100.008142765788816658735659665764664350620
4Turner ElsonX100.007138925873858659685859605970723550620
5Maxim LetunovX100.007339905882789257615460625966687050620
6Marc MichaelisX100.006636846370776860566160596367693750610
7Gabriel BourqueX100.006339735872779556605857595772743550610
8Cody McLeodX100.007285605781748656525758595378832850610
9Arnaud DurandeauX100.005837845967848558626159565763655950600
10Jordy BelleriveX100.006243645971798756665957586263655350600
11Danick MartelX100.005842645667898157605859545668703650590
12Adam JohnsonX100.006038855769828056615958545768703650590
13Damien GirouxX100.006138835968727758665759545862645250590
14Dino KambeitzX100.006435835483718155535657585562645250590
15Corey SchuenemanX100.006337886774858266306562685267683750660
16Joel HanleyX100.006936846871807566307055645371723450660
17J.J. MoserX100.006338776672878567306662645362636850650
18Nick DeSimoneX100.006839895878778957306252584668703650630
19Luke WitkowskiX100.006334875882717857305655594872743350620
20Nelson NogierX100.007039825879746657305655594566685950610
21Connor Corcoran (R)X100.006839796277786358305763595362645150610
22Ryan StantonX100.006839755677718355305953564673752650610
Scratches
1Jake McGrewX100.005938785469818355595658535863655350580
2Cedric Pare (R)X100.006539935584697156615758545663655950580
3Todd Burgess (R)X100.006738925776796356575558545766685950580
4Brian HalonenX100.006738835576816654515356555263655350570
5Aaron NessX100.005837915667668355305953544672744650590
6Alex Kannok-Leipert (R)X100.006339745572656954305352564562644950580
7Olivier LeblancX100.006038855369636152305350514566684750550
TEAM AVERAGE100.00664180597577785849585759546769465061
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Dustin Tokarski100.00817772748079818079818073875250770
2Kevin Poulin100.00757475827473757473757472863650740
Scratches
1Garret Sparks100.00737072877271737271737269835250720
2Harri Sateri100.00727072787170727170727172875250710
3Antoine Bibeau100.00706768846968706968706969814150690
TEAM AVERAGE100.0074727281737274737274737185475073
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Marc Savard63747069635983CAN4471,000,000$


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
1Marc MichaelisSound Tigers (NYI)LW722834622534089902106917313.33%11152621.209162548300000143784257.33%15000000.8114000841
2Turner ElsonSound Tigers (NYI)C722042622660311741914711010.47%4145320.19923325529300062053263.77%179700010.8500000535
3Mathieu OlivierSound Tigers (NYI)RW712929583217325196912075915514.01%14154121.7110162648257000101845154.10%30500210.7504014464
4J.J. MoserSound Tigers (NYI)D72124658288401208412246919.84%62166323.1171421692200112246200.00%000000.7000000263
5Maxim LetunovSound Tigers (NYI)C722132531343575451514213313.91%5130018.076192541298000004060.71%8400010.8111001422
6Corey SchuenemanSound Tigers (NYI)D50123749122404768101296011.88%45102320.47111425691850003207300.00%000000.9600000324
7Josh DunneSound Tigers (NYI)C7220294936595128931804613311.11%11159922.21313164526920271906264.80%64200000.6103010534
8Nick DeSimoneSound Tigers (NYI)D7212374918460735072235916.67%69144220.03101828533130110348200.00%000000.6800000025
9Joel HanleySound Tigers (NYI)D72740472810601107156224312.50%63134618.705914351280110177100.00%000000.7000000103
10Casey MittelstadtNew York IslandersC72202646101005571545712112.99%36779.428101842132000003160.00%3500021.3600000233
11Connor CorcoranSound Tigers (NYI)D72724312377596243492820.59%3987612.1710123000011100.00%000000.7100001011
12Arnaud DurandeauSound Tigers (NYI)LW72131629252603038119347110.92%4101814.150003380003882157.45%4700000.5700000143
13Gabriel BourqueSound Tigers (NYI)LW7211132425355766894225811.70%683811.6500000000000059.15%77600000.5700001231
14Cody McLeodSound Tigers (NYI)LW72618241511030129848919636.74%799813.8600000000001055.83%96900000.4800303113
15Ryan StantonSound Tigers (NYI)D7271623197601184060244211.67%52133518.555611342540001299100.00%000000.3400000101
16Danick MartelSound Tigers (NYI)LW5799185175284655244016.36%586515.18167913600052042156.22%38600000.4200001141
17Matthew HighmoreSound Tigers (NYI)C7286144208255683314.29%113134.351239310118953052.38%16800000.8900000101
18Luke WitkowskiSound Tigers (NYI)D5021113720043181871111.11%194839.6700007000011000.00%000000.5400000001
19Calvin de HaanNew York IslandersD124485801313114436.36%51078.9321382100003000.00%000001.4900000010
20Nelson NogierSound Tigers (NYI)D45055680176186110.00%21593.540111332000025000.00%000000.6300000000
21Dysin MayoNew York IslandersD712336016641525.00%212618.010000000000000.00%000000.4800000000
22Aaron NessSound Tigers (NYI)D371120001250620.00%111213.28112328000168000.00%100000.3300000000
23Adam JohnsonSound Tigers (NYI)LW72112-1203052320.00%0390.55101100000120033.33%300001.0000000000
24Jordy BelleriveSound Tigers (NYI)C72000-120101540.00%1270.3800005000070023.08%1300000.0000000000
Team Total or Average148125147872936397480145311932013605145712.47%4512088514.10901692595872959246602767431059.91%537600250.702123211414546
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
1Dustin TokarskiSound Tigers (NYI)51291750.9052.2230340511211760100.60055121522
2Kevin PoulinSound Tigers (NYI)1610410.9161.8991924293450000.50061537100
3Casey DeSmithNew York Islanders65100.9231.333620181040000.000060001
4Garret SparksSound Tigers (NYI)10000.9292.4025001140000.0000014000
Team Total or Average74442260.9082.07434221015016390100.545117272623


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aaron NessD321990-05-18No184 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Adam JohnsonLW281994-06-22No174 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Alex Kannok-LeipertD222000-07-20Yes190 Lbs6 ft0NoNoNo4ELCPro & Farm300,000$0$0$No
Antoine BibeauG281994-05-01No205 Lbs6 ft3NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Arnaud DurandeauLW241999-01-14No175 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Brian HalonenLW241999-01-11No207 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Cedric PareC241999-01-24Yes205 Lbs6 ft3NoNoNo4RFAPro & Farm300,000$0$0$No
Cody McLeodLW381984-06-26No204 Lbs6 ft2NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Connor CorcoranD222000-08-07Yes185 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$No
Corey SchuenemanD271995-09-02No196 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$0$0$NoLink
Damien GirouxC222000-03-03No179 Lbs5 ft11NoNoNo1ELCPro & Farm300,000$0$0$NoLink
Danick MartelLW281994-12-12No184 Lbs5 ft9NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Dino KambeitzRW232000-01-25No212 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Dustin TokarskiG331989-09-16No198 Lbs6 ft0NoNoNo4UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Gabriel BourqueLW321990-09-23No206 Lbs5 ft10NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Garret SparksG291993-06-28No220 Lbs6 ft3NoNoNo3UFAPro & Farm750,000$0$0$NoLink / NHL Link
Harri SateriG331989-12-29No205 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink
J.J. MoserD222000-06-06No173 Lbs6 ft1NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Jake McGrewRW241999-02-25No185 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Joel HanleyD311991-06-08No190 Lbs5 ft11NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Jordy BelleriveC231999-05-02No195 Lbs5 ft11NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Josh DunneC241998-12-08No210 Lbs6 ft4NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Kevin PoulinG321990-04-12No206 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Luke WitkowskiD321990-04-14No210 Lbs6 ft2NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Marc MichaelisLW271995-07-31No187 Lbs5 ft11NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Mathieu OlivierRW261997-02-11No210 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matthew HighmoreC271996-02-27No188 Lbs5 ft11NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Maxim LetunovC271996-02-20No180 Lbs6 ft4NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nelson NogierD261996-05-27No191 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nick DeSimoneD281994-11-21No190 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Olivier LeblancD271996-02-17No172 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Ryan StantonD331989-07-20No200 Lbs6 ft1NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Todd BurgessRW261996-04-03Yes178 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$No
Turner ElsonC301992-09-13No191 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3427.47194 Lbs6 ft12.35430,882$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matthew HighmoreTurner ElsonJosh Dunne40122
2Maxim LetunovCody McLeod30122
3Marc MichaelisGabriel BourqueArnaud Durandeau20122
4Matthew HighmoreJosh Dunne10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Joel HanleyJ.J. Moser40122
2Connor CorcoranLuke Witkowski30122
3Nick DeSimoneRyan Stanton20122
4Joel HanleyJ.J. Moser10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Marc MichaelisTurner ElsonMaxim Letunov60122
2Josh DunneMatthew Highmore40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneJoel Hanley60122
2J.J. MoserRyan Stanton40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Turner ElsonMarc Michaelis60122
2Josh Dunne40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneJoel Hanley60122
2J.J. MoserRyan Stanton40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Dunne60122Ryan StantonJ.J. Moser60122
2Marc Michaelis40122Joel HanleyNick DeSimone40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Josh Dunne60122
2Marc MichaelisTurner Elson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nick DeSimoneJoel Hanley60122
2J.J. MoserRyan Stanton40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Turner ElsonMarc MichaelisJ.J. MoserJoel Hanley
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Turner ElsonMarc MichaelisJ.J. MoserJoel Hanley
Extra Forwards
Normal PowerPlayPenalty Kill
Turner Elson, Marc Michaelis, Josh DunneTurner Elson, Marc MichaelisMarc Michaelis
Extra Defensemen
Normal PowerPlayPenalty Kill
Nick DeSimone, Ryan Stanton, J.J. MoserNick DeSimoneNick DeSimone, Ryan Stanton
Penalty Shots
Marc Michaelis, , Josh Dunne, Maxim Letunov, Turner Elson
Goalie
#1 : Dustin Tokarski, #2 : Kevin Poulin
Custom OT Lines Forwards
Matthew Highmore, Turner Elson, Maxim Letunov, Cody McLeod, Gabriel Bourque, Arnaud Durandeau, Arnaud Durandeau, , Marc Michaelis, Adam Johnson, Josh Dunne
Custom OT Lines Defensemen
Luke Witkowski, Joel Hanley, Nick DeSimone, J.J. Moser, Ryan Stanton


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7294W4252478730201316394519761453010
All Games
GPWLOTWOTL SOWSOLGFGA
7242221313252153
Home Games
GPWLOTWOTL SOWSOLGFGA
362111021113383
Visitor Games
GPWLOTWOTL SOWSOLGFGA
362111110211970
Last 10 Games
WLOTWOTL SOWSOL
640000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3739024.13%4136284.99%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7146406452610183663
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1317214561.40%1239212858.22%665106462.50%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
201914631474479855465


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
1 - 2022-09-283Senators2Sound Tigers0LBoxScore
4 - 2022-10-0128Sound Tigers3Wranglers2WXBoxScore
6 - 2022-10-0343Rocket0Sound Tigers6WBoxScore
8 - 2022-10-0556Sound Tigers4Marlies1WBoxScore
10 - 2022-10-0770Sound Tigers4Thunderbirds1WBoxScore
12 - 2022-10-0984Wranglers2Sound Tigers8WBoxScore
15 - 2022-10-12102Sound Tigers4Wranglers1WBoxScore
17 - 2022-10-14118Bears4Sound Tigers7WBoxScore
19 - 2022-10-16133Sound Tigers5Condors1WBoxScore
21 - 2022-10-18150Wolves2Sound Tigers1LXXBoxScore
23 - 2022-10-20166Monsters3Sound Tigers5WBoxScore
25 - 2022-10-22184Sound Tigers1Senators2LBoxScore
27 - 2022-10-24198Sound Tigers0Penguins2LBoxScore
28 - 2022-10-25207Condors2Sound Tigers4WBoxScore
33 - 2022-10-30238IceHogs0Sound Tigers6WBoxScore
35 - 2022-11-01253Sound Tigers0Wolf Pack3LBoxScore
37 - 2022-11-03269Barracuda3Sound Tigers2LXBoxScore
39 - 2022-11-05286Sound Tigers3Griffins4LBoxScore
41 - 2022-11-07296Penguins2Sound Tigers4WBoxScore
43 - 2022-11-09305Sound Tigers5Monsters0WBoxScore
45 - 2022-11-11322Sound Tigers2Barracuda5LBoxScore
47 - 2022-11-13340Firebirds1Sound Tigers4WBoxScore
49 - 2022-11-15356Sound Tigers3Moose4LXBoxScore
51 - 2022-11-17369Crunch0Sound Tigers2WBoxScore
53 - 2022-11-19385Sound Tigers5Bears1WBoxScore
55 - 2022-11-21402Griffins3Sound Tigers2LBoxScore
57 - 2022-11-23416Sound Tigers2Rampage3LXXBoxScore
59 - 2022-11-25425Sound Tigers1Wranglers0WBoxScore
61 - 2022-11-27443Rampage4Sound Tigers3LBoxScore
63 - 2022-11-29457Sound Tigers3Crunch1WBoxScore
65 - 2022-12-01471Sound Tigers6IceHogs1WBoxScore
66 - 2022-12-02480Phantoms1Sound Tigers2WBoxScore
70 - 2022-12-06503Sound Tigers2Admirals3LBoxScore
71 - 2022-12-07512Stars2Sound Tigers3WBoxScore
73 - 2022-12-09533Sound Tigers2Gulls3LBoxScore
75 - 2022-12-11544Moose4Sound Tigers2LBoxScore
78 - 2022-12-14568Comets2Sound Tigers3WXXBoxScore
80 - 2022-12-16580Sound Tigers8Firebirds0WBoxScore
82 - 2022-12-18592Sound Tigers6Marlies0WBoxScore
83 - 2022-12-19607Condors2Sound Tigers3WBoxScore
86 - 2022-12-22630Sound Tigers2Stars0WBoxScore
88 - 2022-12-24640Gulls2Sound Tigers5WBoxScore
90 - 2022-12-26656Sound Tigers2Bruins3LXXBoxScore
92 - 2022-12-28670Sound Tigers6Roadrunners2WBoxScore
93 - 2022-12-29678Americans3Sound Tigers0LBoxScore
96 - 2023-01-01702Wranglers2Sound Tigers1LBoxScore
97 - 2023-01-02716Sound Tigers8Condors2WBoxScore
100 - 2023-01-05734Thunderbirds3Sound Tigers9WBoxScore
102 - 2023-01-07748Sound Tigers5Thunderbirds0WBoxScore
104 - 2023-01-09766Admirals5Sound Tigers4LBoxScore
106 - 2023-01-11782Sound Tigers2Checkers0WBoxScore
109 - 2023-01-14797Sound Tigers1Rocket4LBoxScore
110 - 2023-01-15803Senators3Sound Tigers0LBoxScore
113 - 2023-01-18829Bears2Sound Tigers6WBoxScore
115 - 2023-01-20840Sound Tigers3Phantoms2WBoxScore
118 - 2023-01-23860Devils3Sound Tigers2LBoxScore
120 - 2023-01-25875Sound Tigers5Eagles3WBoxScore
122 - 2023-01-27892Marlies3Sound Tigers7WBoxScore
124 - 2023-01-29908Sound Tigers5Wild3WBoxScore
126 - 2023-01-31924Bruins1Sound Tigers4WBoxScore
130 - 2023-02-04952Rocket4Sound Tigers2LBoxScore
133 - 2023-02-07978Wolf Pack4Sound Tigers3LXBoxScore
135 - 2023-02-09990Sound Tigers0Americans5LBoxScore
136 - 2023-02-101001Sound Tigers5Reign1WBoxScore
138 - 2023-02-121018Checkers1Sound Tigers2WBoxScore
141 - 2023-02-151039Eagles3Sound Tigers2LBoxScore
143 - 2023-02-171048Sound Tigers1Devils3LBoxScore
145 - 2023-02-191059Sound Tigers2Wolves3LBoxScore
148 - 2023-02-221081Roadrunners2Sound Tigers6WBoxScore
150 - 2023-02-241097Sound Tigers3Comets1WBoxScore
152 - 2023-02-261114Wild2Sound Tigers7WBoxScore
159 - 2023-03-051145Reign1Sound Tigers6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance68,50633,914
Attendance PCT95.15%94.21%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2845 - 94.83% 71,046$2,557,650$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,166,770$ 146,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 166,716$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 7,121$ 0$




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
12824424053422651561094121130232013178534123110302213478561112654787433801088068222706977877191821510136218474285913.79%5997387.81%71521247861.38%1387242957.10%686110262.25%225516091734570979518
137640290321123915881382014031001217249382015001111188632912394296681120987859201206976526521685482106415234196615.75%4406485.45%61344231857.98%1228227154.07%600106256.50%200614261658534917477
147634240541817113239382011021138763243814130330584691592171314485113053674518050580618577171848762411023766316.76%2382091.60%41271224256.69%1152220152.34%573103455.42%195913861728535947498
1582502104115247160874127901013121744741231203102126864011624745470101401047464237307917787811915558106915434316414.85%4365886.70%31648266061.95%1446247758.38%683114459.70%220515851770573985517
168244240343426817791412212012041439548412212022301258243108268478746260939376233507187738151830503106614774838417.39%4246484.91%21605261661.35%1370235658.15%767121862.97%222016011775554973516
1772422201313252153993621110021113383503621110110211970499425247873001010183663201371464064526163945197614533739024.13%4136284.99%21317214561.40%1239212858.22%665106462.50%201914631474479855465
Total Regular Season4702541440211711231442936506235131700995117364652712351237401286127064712356121442263140737631015394583151276571441234253357010608299161618945251042616.97%255034186.63%2487061445960.21%78221386256.43%3974662459.99%12667907210142324756572993
Playoff
1512750000030255633000001616064200000149514305888000910927408084913178320622563914.29%821186.59%115732548.31%20542648.12%9116854.17%2891973219615475
Total Playoff12750000030255633000001616064200000149514305888000910927408084913178320622563914.29%821186.59%115732548.31%20542648.12%9116854.17%2891973219615475