Login

Sound Tigers
GP: 52 | W: 25 | L: 22 | OTL: 5 | P: 55
GF: 163 | GA: 164 | PP%: 21.20% | PK%: 80.84%
GM : Simon Duguay | Morale : 50 | Team Overall : 63
Next Games #813 vs Americans
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Devils
23-26-5, 51pts
3
FINAL
4 Sound Tigers
25-22-5, 55pts
Team Stats
W1StreakL1
14-11-2Home Record11-14-2
9-15-3Away Record14-8-3
4-5-1Last 10 Games3-4-3
3.13Goals Per Game3.13
4.04Goals Against Per Game3.15
24.04%Power Play Percentage21.20%
76.15%Penalty Kill Percentage80.84%
Sound Tigers
25-22-5, 55pts
2
FINAL
5 Wheat Kings
27-21-5, 59pts
Team Stats
L1StreakW1
11-14-2Home Record16-8-3
14-8-3Away Record11-13-2
3-4-3Last 10 Games6-3-1
3.13Goals Per Game3.21
3.15Goals Against Per Game3.13
21.20%Power Play Percentage22.01%
80.84%Penalty Kill Percentage83.56%
Americans
24-25-5, 53pts
2023-01-30
Sound Tigers
25-22-5, 55pts
Team Stats
OTL1StreakL1
11-12-3Home Record11-14-2
13-13-2Away Record14-8-3
3-6-1Last 10 Games3-4-3
3.20Goals Per Game3.13
3.20Goals Against Per Game3.13
19.90%Power Play Percentage21.20%
76.14%Penalty Kill Percentage80.84%
Sound Tigers
25-22-5, 55pts
2023-02-01
Monsters
24-25-3, 51pts
Team Stats
L1StreakL2
11-14-2Home Record13-13-1
14-8-3Away Record11-12-2
3-4-3Last 10 Games5-5-0
3.13Goals Per Game3.04
3.15Goals Against Per Game3.04
21.20%Power Play Percentage19.87%
80.84%Penalty Kill Percentage79.31%
Rocket
25-24-5, 55pts
2023-02-04
Sound Tigers
25-22-5, 55pts
Team Stats
OTW1StreakL1
12-10-4Home Record11-14-2
13-14-1Away Record14-8-3
4-5-1Last 10 Games3-4-3
2.93Goals Per Game3.13
3.15Goals Against Per Game3.13
17.65%Power Play Percentage21.20%
74.77%Penalty Kill Percentage80.84%
Team Leaders
Kevin StenlundGoals
Kevin Stenlund
22
Josh BrownAssists
Josh Brown
38
Kevin StenlundPoints
Kevin Stenlund
57
Kevin StenlundPlus/Minus
Kevin Stenlund
11
Jonas JohanssonWins
Jonas Johansson
24
Jonas JohanssonSave Percentage
Jonas Johansson
0.911

Team Stats
Goals For
163
3.13 GFG
Shots For
1668
32.08 Avg
Power Play Percentage
21.2%
39 GF
Offensive Zone Start
39.2%
Goals Against
164
3.15 GAA
Shots Against
1737
33.40 Avg
Penalty Kill Percentage
80.8%%
41 GA
Defensive Zone Start
42.4%
Team Info

General ManagerSimon Duguay
CoachKris Knoblauch
DivisionAtlantic
ConferenceCanadian
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance1,991
Season Tickets0


Roster Info

Pro Team22
Farm Team21
Contract Limit43 / 250
Prospects39


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
1Dryden HuntX100.00864182637384876459656260646768050650273800,000$
2Kevin Stenlund (R)XX100.00743685638981736472636662656769050650261950,000$
3Michael Pezzetta (R)X100.00817960668178846256626457626466050640241750,000$
4Wade Allison (R)X100.00783882628185726461636658636567050640251800,000$
5Gemel SmithXX100.00727174637184756280665964586770050630282750,000$
6Mitchell Chaffee (R)X100.008138875778867758645961535964660506202511,100,000$
7William Lockwood (R)X100.00823876596779815763585962596466050620241800,000$
8Carsen Twarynski (R)X100.00633893598076885953555756586567050610253850,000$
9Joseph Gambardella (R)XXX100.00613886597074875866595756586971050610292750,000$
10Cole BardreauX100.00573693596881745866576258616972050610291800,000$
11Jake Slaker (R)X100.00593881576973665659555453576668050580261750,000$
12Josh BrownX100.00876873619384815830645578456870050650291850,000$
13Connor CarrickX100.00654282667188796530646263526970050640281700,000$
14Fredrik ClaessonX100.00723884607774805830595861497072050620301950,000$
15Jake Christiansen (R)X100.006437836272838561306263546163650506202311,300,000$
16Brady Lyle (R)X100.006939875578698658305756554863650506002311,500,000$
17Gustav Olofsson (R)X100.00714078568069715530585356466870050600281750,000$
Scratches
1Carson Meyer (R)X100.00613977646983856358626559636567050630251750,000$
2Kasper Bjorkqvist (R)X100.00683881657773826255616257636567050630251900,000$
3Brandon Duhaime (R)X100.00717758618076815956625763596466050620251750,000$
TEAM AVERAGE100.0071458061767980605261605958666805062
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
1Jonas Johansson (R)100.0075827893747375747375746677050660272900,000$
2Adam Werner (R)100.0070727390696870696870696573050630251750,000$
Scratches
TEAM AVERAGE100.007377769272717372717372667505065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kris Knoblauch66666970666283CAN432250,000$


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
1Kevin StenlundSound Tigers (NYI)C/RW5222355711140321151893911211.64%16101419.50413173920000011033252.03%118000011.1205000341
2Philipp KurashevIslandersC50242953740102142105716611.43%17120824.17591434156101102063247.14%183500010.8814000432
3Dryden HuntSound Tigers (NYI)LW521830485580197911565111011.54%5122623.59610163216301161855142.45%10600100.7815000442
4Josh BrownSound Tigers (NYI)D529384719552488610226518.82%107125724.195813501530110143000.00%000100.7500100233
5Connor CarrickSound Tigers (NYI)D5292938-1160457910030809.00%89132625.514913551670001186100.00%000000.5700000013
6Michael PezzettaSound Tigers (NYI)LW49112132104951455615034957.33%1291818.752572512700021333153.25%7700100.7022001241
7Fredrik ClaessonSound Tigers (NYI)D52121729106201214763244219.05%66106420.48639371310002126130.00%000000.5400000214
8Wade AllisonSound Tigers (NYI)RW5211162763201096911934919.24%596418.56471128130000042047.44%7800000.5624000110
9Jake ChristiansenSound Tigers (NYI)D52913228220674678184011.54%55109521.06336411250002170010.00%000000.4000000102
10Gemel SmithSound Tigers (NYI)C/LW4951318-9175485811525764.35%1165913.4601117890001521042.20%10900100.5500100011
11Mitchell ChaffeeSound Tigers (NYI)RW5251217512049216118568.20%567412.97000010000011053.33%6000000.5000000011
12William LockwoodSound Tigers (NYI)RW526915-1322085438816486.82%155610.70011213000000056.41%3900000.5400000001
13Cole BardreauSound Tigers (NYI)C525510-13403666516477.69%554210.4400000000000046.93%65200000.3700000000
14Brady LyleSound Tigers (NYI)D49279-616044371781711.76%3372614.8300008000073000.00%000000.2500000000
15Joseph GambardellaSound Tigers (NYI)C/LW/RW49459-12029313995010.26%63457.05000140000151150.00%2000000.5200000010
16Carsen TwarynskiSound Tigers (NYI)LW523582402637486326.25%53657.0300000000001060.00%2000000.4400000000
17Gustav OlofssonSound Tigers (NYI)D52167-62808232233164.35%3271313.72000013000012000.00%000000.2000000002
18Jake SlakerSound Tigers (NYI)C49426-1100204540111810.00%33256.6500000000000041.53%35400000.3700000000
Team Total or Average919160292452154671513601173166342511479.62%4731498616.3139691083611495123251418221148.06%453000420.60620201192423
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
1Jonas JohanssonSound Tigers (NYI)49241940.9112.9728456214115770110.76221490821
2Adam WernerSound Tigers (NYI)40200.8754.07118008640000.00%0049000
Team Total or Average53242140.9093.022963621491641011214949821


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 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 10Link
Adam WernerSound Tigers (NYI)G251997-05-02Yes205 Lbs6 ft6NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Brady LyleSound Tigers (NYI)D231999-06-06Yes202 Lbs6 ft0NoNoNo1Pro & Farm1,500,000$0$0$NoNHL Link
Brandon DuhaimeSound Tigers (NYI)RW251997-05-22Yes200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Carsen TwarynskiSound Tigers (NYI)LW251997-11-24Yes198 Lbs6 ft2NoNoNo3Pro & Farm850,000$0$0$No850,000$850,000$NHL Link
Carson MeyerSound Tigers (NYI)RW251997-08-18Yes184 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Cole BardreauSound Tigers (NYI)C291993-07-22No193 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Connor CarrickSound Tigers (NYI)D281994-04-13No192 Lbs5 ft10NoNoNo1Pro & Farm700,000$0$0$NoNHL Link
Dryden HuntSound Tigers (NYI)LW271995-11-24No197 Lbs6 ft0NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$NHL Link
Fredrik ClaessonSound Tigers (NYI)D301992-11-24No200 Lbs6 ft1NoNoNo1Pro & Farm950,000$0$0$NoNHL Link
Gemel SmithSound Tigers (NYI)C/LW281994-04-16No190 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Gustav OlofssonSound Tigers (NYI)D281994-12-01Yes195 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Jake ChristiansenSound Tigers (NYI)D231999-09-12Yes190 Lbs6 ft1NoNoNo1Pro & Farm1,300,000$0$0$NoNHL Link
Jake SlakerSound Tigers (NYI)C261996-06-28Yes184 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Jonas JohanssonSound Tigers (NYI)G271995-09-19Yes220 Lbs6 ft6NoNoNo2Pro & Farm900,000$0$0$No900,000$NHL Link
Joseph GambardellaSound Tigers (NYI)C/LW/RW291993-12-01Yes188 Lbs5 ft10NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Josh BrownSound Tigers (NYI)D291994-01-21No215 Lbs6 ft5NoNoNo1Pro & Farm850,000$0$0$NoNHL Link
Kasper BjorkqvistSound Tigers (NYI)RW251997-07-10Yes198 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$NoNHL Link
Kevin StenlundSound Tigers (NYI)C/RW261996-09-20Yes210 Lbs6 ft4NoNoNo1Pro & Farm950,000$0$0$NoNHL Link
Michael PezzettaSound Tigers (NYI)LW241998-03-13Yes216 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Mitchell ChaffeeSound Tigers (NYI)RW251998-01-26Yes205 Lbs6 ft0NoNoNo1Pro & Farm1,100,000$0$0$NoNHL Link
Wade AllisonSound Tigers (NYI)RW251997-10-14Yes205 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
William LockwoodSound Tigers (NYI)RW241998-06-20Yes172 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2226.18198 Lbs6 ft11.32872,727$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dryden HuntWade Allison40122
2Michael PezzettaKevin StenlundMitchell Chaffee30122
3Gemel SmithCole BardreauWilliam Lockwood20122
4Carsen TwarynskiJake SlakerJoseph Gambardella10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownConnor Carrick40122
2Fredrik ClaessonJake Christiansen32122
3Brady LyleGustav Olofsson23122
4Josh BrownConnor Carrick5122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Dryden HuntKevin Stenlund60122
2Michael PezzettaKevin StenlundWade Allison40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownConnor Carrick60122
2Fredrik ClaessonJake Christiansen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Dryden Hunt60122
2Kevin StenlundMichael Pezzetta40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownConnor Carrick60122
2Fredrik ClaessonJake Christiansen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Josh BrownConnor Carrick60122
2Kevin Stenlund40122Fredrik ClaessonJake Christiansen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Dryden Hunt60122
2Kevin StenlundMichael Pezzetta40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Josh BrownConnor Carrick60122
2Fredrik ClaessonJake Christiansen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Dryden HuntKevin StenlundJosh BrownConnor Carrick
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Dryden HuntKevin StenlundJosh BrownConnor Carrick
Extra Forwards
Normal PowerPlayPenalty Kill
Michael Pezzetta, Gemel Smith, Mitchell ChaffeeMichael Pezzetta, Gemel SmithMichael Pezzetta
Extra Defensemen
Normal PowerPlayPenalty Kill
Jake Christiansen, Brady Lyle, Gustav OlofssonJake ChristiansenJake Christiansen, Brady Lyle
Penalty Shots
, Kevin Stenlund, Dryden Hunt, Wade Allison, Michael Pezzetta
Goalie
#1 : Jonas Johansson, #2 : Adam Werner
Custom OT Lines Forwards
, Kevin Stenlund, Dryden Hunt, Wade Allison, Michael Pezzetta, Gemel Smith, Gemel Smith, Mitchell Chaffee, William Lockwood, Joseph Gambardella, Carsen Twarynski
Custom OT Lines Defensemen
Josh Brown, Connor Carrick, Fredrik Claesson, Jake Christiansen, Brady Lyle


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
1Admirals11000000413110000004130000000000021.00048120061494973654356354934351412175120.00%60100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
2Americans211000008801010000045-11100000043120.500816240061494975954356354934822020586116.67%9277.78%0865180847.84%946195648.36%40084747.23%11878001292397668324
3Bears31101000981211000005501000100043140.6679172600614949786543563549349426225717529.41%100100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
4Bruins2110000067-11010000024-21100000043120.500611170061494975954356354934752122534250.00%10370.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
5Crunch11000000422000000000001100000042221.000471100614949737543563549343974203133.33%20100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
6Devils20100010770100000104311010000034-120.500711180061494977554356354934773416587228.57%8362.50%0865180847.84%946195648.36%40084747.23%11878001292397668324
7Falcons41300000813-531200000812-41010000001-120.25081624116149497136543563549341293132961317.69%16475.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
8Griffins11000000312110000003120000000000021.00036900614949721543563549343991024100.00%40100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
9Gulls10000010651000000000001000001065121.000610160061494973454356354934571184111100.00%40100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
10Heat11000000422110000004220000000000021.00048120061494973154356354934168628600.00%3166.67%0865180847.84%946195648.36%40084747.23%11878001292397668324
11Ice Hogs11000000541110000005410000000000021.0005813006149497445435635493429114244250.00%20100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
12Marlies1010000013-2000000000001010000013-200.00011200614949723543563549343291031100.00%5180.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
13Moose1010000034-1000000000001010000034-100.00035800614949723543563549343931225000.00%5260.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
14Oil Kings321000001055211000008531100000020240.6671017270161494978054356354934881920738112.50%90100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
15Penguins631001012117431100001810-232000100137680.66721355600614949720254356354934181576816421628.57%33584.85%0865180847.84%946195648.36%40084747.23%11878001292397668324
16Phantoms514000001620-42020000068-2312000001012-220.20016314700614949716454356354934153394414321419.05%20575.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
17Rampage11000000321000000000001100000032121.000369006149497405435635493445106283133.33%30100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
18Reign11000000615000000000001100000061521.000611170061494974254356354934281612273133.33%50100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
19Rocket210000017611000000134-11100000042230.7507132000614949764543563549346518146012325.00%70100.00%1865180847.84%946195648.36%40084747.23%11878001292397668324
20Senators20000110440100000104311000010001-130.7504590061494976554356354934561316448112.50%8275.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
21Swamp Rabbits1010000016-51010000016-50000000000000.0001120061494973654356354934315643100.00%3233.33%0865180847.84%946195648.36%40084747.23%11878001292397668324
22Thunderbirds11000000312000000000001100000031221.000358006149497305435635493431816265120.00%70100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
23Wheat Kings1010000025-3000000000001010000025-300.0002460061494972354356354934389834300.00%4175.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
24Wild1010000005-51010000005-50000000000000.000000006149497255435635493452131325200.00%4250.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
25Wolfpack623001001923-4413000001318-52100010065150.41719355400614949720354356354934190566414225520.00%23865.22%0865180847.84%946195648.36%40084747.23%11878001292397668324
26Wolves1010000034-1000000000001010000034-100.0003580061494973054356354934369819400.00%40100.00%0865180847.84%946195648.36%40084747.23%11878001292397668324
Total52212201332163164-127914000228296-142512801310816813550.529163292455126149497166854356354934173747647313601843921.20%2144180.84%1865180847.84%946195648.36%40084747.23%11878001292397668324
_Since Last GM Reset52212201332163164-127914000228296-142512801310816813550.529163292455126149497166854356354934173747647313601843921.20%2144180.84%1865180847.84%946195648.36%40084747.23%11878001292397668324
_Vs Conference40151701322123127-422513000226683-171810401300574413410.513123220343126149497129654356354934129135436410371513321.85%1653479.39%1865180847.84%946195648.36%40084747.23%11878001292397668324
_Vs Division1091301201292905410000011617-15530120013121231.15029528100614949729154356354934349909227032721.88%43881.40%1865180847.84%946195648.36%40084747.23%11878001292397668324

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5255L116329245516681737476473136012
All Games
GPWLOTWOTL SOWSOLGFGA
5221221332163164
Home Games
GPWLOTWOTL SOWSOLGFGA
2791400228296
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2512813108168
Last 10 Games
WLOTWOTL SOWSOL
240112
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1843921.20%2144180.84%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
543563549346149497
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
865180847.84%946195648.36%40084747.23%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11878001292397668324


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 - 2022-10-107Wolfpack5Sound Tigers3BLBoxScore
3 - 2022-10-1220Sound Tigers3Wolfpack4ALXBoxScore
6 - 2022-10-1544Bears3Sound Tigers4BWBoxScore
9 - 2022-10-1864Wolfpack3Sound Tigers4BWBoxScore
11 - 2022-10-2078Sound Tigers4Bears3AWXBoxScore
13 - 2022-10-2291Sound Tigers3Phantoms4ALBoxScore
15 - 2022-10-24105Phantoms2Sound Tigers1BLBoxScore
17 - 2022-10-26122Penguins2Sound Tigers4BWBoxScore
18 - 2022-10-27131Sound Tigers4Bruins3AWBoxScore
19 - 2022-10-28147Sound Tigers0Falcons1ALBoxScore
22 - 2022-10-31163Sound Tigers4Penguins2AWBoxScore
24 - 2022-11-02176Bruins4Sound Tigers2BLBoxScore
26 - 2022-11-04194Falcons0Sound Tigers3BWBoxScore
28 - 2022-11-06203Sound Tigers4Crunch2AWBoxScore
30 - 2022-11-08224Oil Kings1Sound Tigers5BWBoxScore
33 - 2022-11-11246Falcons7Sound Tigers2BLBoxScore
35 - 2022-11-13258Sound Tigers3Thunderbirds1AWBoxScore
36 - 2022-11-14268Sound Tigers2Oil Kings0AWBoxScore
38 - 2022-11-16282Oil Kings4Sound Tigers3BLBoxScore
40 - 2022-11-18302Sound Tigers1Marlies3ALBoxScore
42 - 2022-11-20314Wild5Sound Tigers0BLBoxScore
45 - 2022-11-23331Sound Tigers0Senators1ALXBoxScore
46 - 2022-11-24344Wolfpack5Sound Tigers4BLBoxScore
48 - 2022-11-26356Sound Tigers3Wolfpack1AWBoxScore
50 - 2022-11-28373Swamp Rabbits6Sound Tigers1BLBoxScore
53 - 2022-12-01391Sound Tigers6Reign1AWBoxScore
55 - 2022-12-03404Sound Tigers3Devils4ALBoxScore
56 - 2022-12-04414Ice Hogs4Sound Tigers5BWBoxScore
59 - 2022-12-07432Bears2Sound Tigers1BLBoxScore
61 - 2022-12-09449Sound Tigers6Penguins1AWBoxScore
63 - 2022-12-11463Senators3Sound Tigers4BWXXBoxScore
67 - 2022-12-15485Wolfpack5Sound Tigers2BLBoxScore
69 - 2022-12-17502Sound Tigers4Americans3AWBoxScore
70 - 2022-12-18508Sound Tigers4Phantoms6ALBoxScore
72 - 2022-12-20523Admirals1Sound Tigers4BWBoxScore
76 - 2022-12-24545Penguins5Sound Tigers2BLBoxScore
77 - 2022-12-25557Sound Tigers6Gulls5AWXXBoxScore
80 - 2022-12-28578Falcons5Sound Tigers3BLBoxScore
83 - 2022-12-31599Sound Tigers3Phantoms2AWBoxScore
85 - 2023-01-02609Heat2Sound Tigers4BWBoxScore
88 - 2023-01-05632Griffins1Sound Tigers3BWBoxScore
90 - 2023-01-07646Sound Tigers3Wolves4ALBoxScore
92 - 2023-01-09660Sound Tigers3Penguins4ALXBoxScore
93 - 2023-01-10668Rocket4Sound Tigers3BLXXBoxScore
96 - 2023-01-13687Sound Tigers4Rocket2AWBoxScore
97 - 2023-01-14698Phantoms6Sound Tigers5BLBoxScore
99 - 2023-01-16713Sound Tigers3Moose4ALBoxScore
102 - 2023-01-19726Penguins3Sound Tigers2BLXXBoxScore
105 - 2023-01-22752Americans5Sound Tigers4BLBoxScore
107 - 2023-01-24762Sound Tigers3Rampage2AWBoxScore
109 - 2023-01-26781Devils3Sound Tigers4BWXXBoxScore
110 - 2023-01-27792Sound Tigers2Wheat Kings5ALBoxScore
113 - 2023-01-30813Americans-Sound Tigers-
115 - 2023-02-01826Sound Tigers-Monsters-
118 - 2023-02-04845Rocket-Sound Tigers-
120 - 2023-02-06862Sound Tigers-Devils-
122 - 2023-02-08874Barracuda-Sound Tigers-
124 - 2023-02-10885Sound Tigers-Senators-
126 - 2023-02-12903Phantoms-Sound Tigers-
128 - 2023-02-14914Sound Tigers-Wolfpack-
130 - 2023-02-16933Bruins-Sound Tigers-
132 - 2023-02-18946Sound Tigers-Bruins-
135 - 2023-02-21962Sound Tigers-Crunch-
136 - 2023-02-22971Bears-Sound Tigers-
139 - 2023-02-25992Sound Tigers-Thunderbirds-
140 - 2023-02-26998Bruins-Sound Tigers-
143 - 2023-03-011018Sound Tigers-Bears-
144 - 2023-03-021028Aces-Sound Tigers-
147 - 2023-03-051047Sound Tigers-Wolfpack-
148 - 2023-03-061058Moose-Sound Tigers-
Trade Deadline --- Trades can’t be done after this day is simulated!
151 - 2023-03-091081Sound Tigers-Falcons-
152 - 2023-03-101088Moose-Sound Tigers-
154 - 2023-03-121100Sound Tigers-Swamp Rabbits-
155 - 2023-03-131110Sound Tigers-Crunch-
157 - 2023-03-151124Crunch-Sound Tigers-
161 - 2023-03-191149Thunderbirds-Sound Tigers-
163 - 2023-03-211159Sound Tigers-Bruins-
166 - 2023-03-241179Gulls-Sound Tigers-
168 - 2023-03-261199Sound Tigers-Swamp Rabbits-
170 - 2023-03-281206Sound Tigers-Ice Hogs-
171 - 2023-03-291213Thunderbirds-Sound Tigers-
175 - 2023-04-021233Aces-Sound Tigers-
176 - 2023-04-031238Sound Tigers-Bears-
179 - 2023-04-061256Sound Tigers-Falcons-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200100
Attendance36,09117,657
Attendance PCT66.84%65.40%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
15 1991 - 66.36% 415,921$11,229,875$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,407,601$ 1,920,000$ 1,915,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,667$ 1,253,422$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
6,238,819$ 69 12,056$ 831,864$




Sound Tigers 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

Sound Tigers Goalies Stat Leaders (Regular Season)

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

Sound Tigers 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

Sound Tigers 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

Sound Tigers Goalies Stat Leaders (Play-Off)

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