Sound Tigers
GP: 80 | W: 33 | L: 38 | OTL: 9 | P: 75
GF: 323 | GA: 359 | PP%: 21.13% | PK%: 79.27%
GM : François Touzin | Morale : 19 | Team Overall : 63
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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
1Andrew Shaw (R)X100.007731717577738077727669616967624418710242950,000$
2Brian Ferlin (R)X100.008546787576627369597172696555534231690231400,000$
3James SheppardX100.007127807072727772696378677054492739690272900,000$
4Garret Ross (R)X100.007644767074607576556866586048474235660233950,000$
5James Livingstone (R)X100.005927786774756564737169666247473631660253950,000$
6Jayson Megna (R)X100.008173576481567963656365616159603344650251500,000$
7Borna Rendulic (R)X100.008343686671657368696366616745454439650231850,000$
8Ben Thomson (R)X100.007045615978576769557370565744464739640222550,000$
9Joe Labate (R)X100.006731696868626168676271606444444339640222425,000$
10Ryan Bourque (R)X100.007031766958556365636962576246463528620241400,000$
11Pavel Kraskovsky (R)X100.005724736753585365667162465041416237590191500,000$
12Tyrell Goulbourne (R)X100.007436657270536359455451536145434639580212550,000$
13Brad Ross (R)X100.006138605567526863556555515345453425570231300,000$
14Ben Johnson (R)X100.006537596260576358486357375443434930550211250,000$
15Blake Speers (R)X100.005629614764524954505869385040407425530182500,000$
16David Broll (R)X100.007454604282497548484346304344444125490222275,000$
17Connor Murphy (R)X100.006336807971797571527073716659444830700222600,000$
18Dylan McIlrath (R)X100.008256716284558070476651665251454019680231500,000$
19Julian Melchiori (R)X100.006534747072706967526860716560523420670241300,000$
20Cade FairchildX100.006924747666666566536857735351493119670261500,000$
21Joey Laleggia (R)X100.00644188695857666638695676595146379660232500,000$
22Slater Koekkoek (R)X100.006821866459717265496062685945435127640211550,000$
23Gabriel Carlsson (R)X100.005336866063516455226439754540408014610182500,000$
24Alexander Yelesin (R)X100.006533575058604545195840494441435213530192500,000$
Scratches
TEAM AVERAGE100.00693771656961686454656159584947452863
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
1Leland Irving100.00746977666972746366757355512439690
2Sean Maguire100.00656859585661625859697046453830600
Scratches
1Chris Driedger100.00716069525374626349765343435119600
TEAM AVERAGE100.0070666859596966615873654846382963
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Rick Tocchet71647369344958CAN471250,000$


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
1Andrew ShawSound Tigers (NYI)RW614156973600111642777615814.80%26125820.641118294521210141243257.04%2915027011.5437000832
2Brian FerlinSound Tigers (NYI)RW80504191-2152101321182678916918.73%49161720.2217122947267404142853446.28%1217532011.12270021043
3James SheppardSound Tigers (NYI)LW80444488-15440144922458414017.96%29161820.231710274829900071292242.28%1494228001.0928000439
4Zac DalpeIslandersC58285886-75001211442227414912.61%32136123.48722295322601151763352.93%17574121001.2607000563
5Connor MurphySound Tigers (NYI)D80115465-153359615421284745.19%114216027.0051015423350229291130.00%08068100.6001001152
6Garret RossSound Tigers (NYI)LW77233962-13355116741854611412.43%18115014.9461319272170005511251.72%294614111.0813000264
7Jayson MegnaSound Tigers (NYI)C80163753-21511518510781325719.75%35134016.761101152070111901147.79%1377835000.7900102143
8Joe LabateSound Tigers (NYI)C80202747-73609479118377016.95%1498012.25371051080000170046.96%5601915000.9600000004
9Ben ThomsonSound Tigers (NYI)LW80182644178013761139399712.95%1696312.051012250002364041.94%312312000.9100000013
10James LivingstoneSound Tigers (NYI)RW68191736-71404863132456414.39%3085612.593476580000343141.18%343217000.8411000003
11Borna RendulicSound Tigers (NYI)RW80141832-13608755132388510.61%227889.86000010000002047.06%171915010.8112000121
12Julian MelchioriSound Tigers (NYI)D7542630-12600871149429344.26%102157220.96156131740113224100.00%01556000.3800000101
13Ryan BourqueSound Tigers (NYI)C66121426-6200655989275513.48%126449.77000032023533047.80%295166000.8100000020
14Cade FairchildSound Tigers (NYI)D4832023-1439555706023315.00%57100921.0316791490003153000.00%01836000.4600000020
15Joey LaleggiaSound Tigers (NYI)D743172012036915827295.17%80117615.9015631040112142110.00%0931000.3400000010
16Gabriel CarlssonSound Tigers (NYI)D6911516-510023724414322.27%68109615.9001171280221137000.00%0235100.2900000000
17Dylan McIlrathSound Tigers (NYI)D5831114-125010110756922374.35%80139023.97123101730002175000.00%01344000.2000110100
18Pavel KraskovskySound Tigers (NYI)C794913-440289609376.67%33594.5500007000010043.36%11382000.7200000000
19Tyrell GoulbourneSound Tigers (NYI)LW803710-1424063262541912.00%85777.2100000000001060.00%1057000.3500000000
20Slater KoekkoekSound Tigers (NYI)D5714518039563112163.23%3677313.56011036000146100.00%0922000.1300000000
21Brad RossSound Tigers (NYI)LW6523558023692622.22%62103.230111130110790080.00%502000.4800000000
22Alexander YelesinSound Tigers (NYI)D51044-226030227350.00%144899.6000007000017000.00%0012000.1600000000
23Ben JohnsonSound Tigers (NYI)C70000-2401260210.00%01091.56000040000640035.71%4210000.0000000000
24Blake SpeersSound Tigers (NYI)C65000-200530010.00%0390.60000000000260028.57%1400000.0000000000
25David BrollSound Tigers (NYI)LW65000000000000.00%0100.1500000000070050.00%200000.0000000000
Team Total or Average1746320547867-15084450184716202556818148012.52%8512355313.497512720232327717916622368301949.64%4847531537340.741036215343938
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
1Leland IrvingSound Tigers (NYI)63202670.8654.313328212391769898320.629355723201
2Sean MaguireSound Tigers (NYI)28111020.8624.2412870091659347210.00001944100
3Chris DriedgerSound Tigers (NYI)52200.8155.24229002010856000.0000413000
Team Total or Average96333890.8624.3348452135025361301530.600358080301


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 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
Alexander YelesinSound Tigers (NYI)D191996-01-01Yes195 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Andrew ShawSound Tigers (NYI)RW241991-01-01Yes179 Lbs5 ft11NoNoNo2Pro & Farm950,000$0$0$No1,100,000$
Ben JohnsonSound Tigers (NYI)C211994-01-01Yes188 Lbs5 ft11NoNoNo1Pro & Farm250,000$0$0$No
Ben ThomsonSound Tigers (NYI)LW221993-01-01Yes205 Lbs6 ft3NoNoNo2Pro & Farm550,000$0$0$No800,000$
Blake SpeersSound Tigers (NYI)C181997-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Borna RendulicSound Tigers (NYI)RW231992-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm850,000$0$0$No
Brad RossSound Tigers (NYI)LW231992-01-01Yes175 Lbs6 ft0NoNoNo1Pro & Farm300,000$0$0$No
Brian FerlinSound Tigers (NYI)RW231992-01-01Yes207 Lbs6 ft2NoNoNo1Pro & Farm400,000$0$0$No
Cade FairchildSound Tigers (NYI)D261989-01-01No186 Lbs5 ft11NoNoNo1Pro & Farm500,000$0$0$No
Chris DriedgerSound Tigers (NYI)G211994-01-01No187 Lbs6 ft2NoNoNo2Pro & Farm400,000$0$0$No400,000$
Connor MurphySound Tigers (NYI)D221993-01-01Yes212 Lbs6 ft4NoNoNo2Pro & Farm600,000$0$0$No600,000$
David BrollSound Tigers (NYI)LW221993-01-01Yes235 Lbs6 ft2NoNoNo2Pro & Farm275,000$0$0$No275,000$
Dylan McIlrathSound Tigers (NYI)D231992-01-01Yes220 Lbs6 ft5NoNoNo1Pro & Farm500,000$0$0$No
Gabriel CarlssonSound Tigers (NYI)D181997-01-01Yes192 Lbs6 ft5NoNoNo2Pro & Farm500,000$0$0$No500,000$
Garret RossSound Tigers (NYI)LW231992-01-01Yes169 Lbs5 ft11NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
James LivingstoneSound Tigers (NYI)RW251990-01-01Yes215 Lbs6 ft1NoNoNo3Pro & Farm950,000$0$0$No950,000$950,000$
James SheppardSound Tigers (NYI)LW271988-01-01No210 Lbs6 ft2NoNoNo2Pro & Farm900,000$0$0$No900,000$
Jayson MegnaSound Tigers (NYI)C251990-01-01Yes195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Joe LabateSound Tigers (NYI)C221993-01-01Yes190 Lbs6 ft4NoNoNo2Pro & Farm425,000$0$0$No425,000$
Joey LaleggiaSound Tigers (NYI)D231992-01-01Yes182 Lbs5 ft9NoNoNo2Pro & Farm500,000$0$0$No500,000$
Julian MelchioriSound Tigers (NYI)D241991-01-01Yes190 Lbs6 ft1NoNoNo1Pro & Farm300,000$0$0$No
Leland IrvingSound Tigers (NYI)G271988-01-01No177 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Pavel KraskovskySound Tigers (NYI)C191996-01-01Yes194 Lbs6 ft4NoNoNo1Pro & Farm500,000$0$0$No
Ryan BourqueSound Tigers (NYI)C241991-01-01Yes185 Lbs5 ft9NoNoNo1Pro & Farm400,000$0$0$No
Sean MaguireSound Tigers (NYI)G221993-01-01No193 Lbs6 ft1NoNoNo2Pro & Farm250,000$0$0$No250,000$
Slater KoekkoekSound Tigers (NYI)D211994-01-01Yes184 Lbs6 ft1NoNoNo1Pro & Farm550,000$0$0$No
Tyrell GoulbourneSound Tigers (NYI)LW211994-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm550,000$0$0$No550,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2722.52194 Lbs6 ft11.63542,593$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1James SheppardJayson MegnaAndrew Shaw40122
2Ben ThomsonJoe LabateBrian Ferlin30122
3Tyrell GoulbourneRyan BourqueJames Livingstone20122
4Brad RossPavel KraskovskyBorna Rendulic10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor MurphyDylan McIlrath40122
2Julian MelchioriJoey Laleggia30122
3Gabriel CarlssonAlexander Yelesin20122
4Connor MurphyDylan McIlrath10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1James SheppardJayson MegnaAndrew Shaw60122
2Ben ThomsonJoe LabateBrian Ferlin40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor MurphyDylan McIlrath60122
2Julian MelchioriJoey Laleggia40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew ShawBrian Ferlin60122
2James SheppardJames Livingstone40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor MurphyDylan McIlrath60122
2Julian MelchioriJoey Laleggia40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andrew Shaw60122Connor MurphyDylan McIlrath60122
2Brian Ferlin40122Julian MelchioriJoey Laleggia40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andrew ShawBrian Ferlin60122
2James SheppardJames Livingstone40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Connor MurphyDylan McIlrath60122
2Julian MelchioriJoey Laleggia40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
James SheppardJayson MegnaAndrew ShawConnor MurphyDylan McIlrath
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
James SheppardJayson MegnaAndrew ShawConnor MurphyDylan McIlrath
Extra Forwards
Normal PowerPlayPenalty Kill
Ben Johnson, Blake Speers, David BrollBen Johnson, Blake SpeersDavid Broll
Extra Defensemen
Normal PowerPlayPenalty Kill
Gabriel Carlsson, Alexander Yelesin, Julian MelchioriGabriel CarlssonAlexander Yelesin, Julian Melchiori
Penalty Shots
Andrew Shaw, Brian Ferlin, James Sheppard, James Livingstone, Jayson Megna
Goalie
#1 : Leland Irving, #2 : Sean Maguire


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
1Admirals31200000916-720200000311-81100000065120.3339142300851201141193835872838471103120671500.00%10370.00%0880175950.03%867179248.38%659129650.85%166989017027831478731
2Barracuda32100000171341010000035-222000000148640.6671730470085120114111108358728384710542286614642.86%14657.14%0880175950.03%867179248.38%659129650.85%166989017027831478731
3Bears65100000251783210000012111330000001367100.83325426701851201141120283587283847144597614521419.05%28678.57%2880175950.03%867179248.38%659129650.85%166989017027831478731
4Checkers2110000078-11010000025-31100000053220.5007121900851201141157835872838476022144110220.00%7185.71%0880175950.03%867179248.38%659129650.85%166989017027831478731
5Comets311001001314-120100100810-21100000054130.5001323360085120114111028358728384710035358510330.00%12375.00%1880175950.03%867179248.38%659129650.85%166989017027831478731
6Condors311000011617-11000000145-1211000001212030.500162743008512011411103835872838479838167611436.36%8187.50%0880175950.03%867179248.38%659129650.85%166989017027831478731
7Crunch320001001613311000000321210001001311250.833163046008512011411111835872838478726275414428.57%11372.73%0880175950.03%867179248.38%659129650.85%166989017027831478731
8Devils220000001183110000007521100000043141.000111728008512011411618358728384767341669800.00%8450.00%0880175950.03%867179248.38%659129650.85%166989017027831478731
9Eagles22000000187111100000085311000000102841.0001833510085120114117283587283847522224558112.50%7271.43%1880175950.03%867179248.38%659129650.85%166989017027831478731
10Griffins30300000817-920200000411-71010000046-200.000813211085120114118783587283847952038551616.25%19478.95%1880175950.03%867179248.38%659129650.85%166989017027831478731
11Heat2010010059-41010000036-31000010023-110.250510150085120114115783587283847761828398337.50%140100.00%0880175950.03%867179248.38%659129650.85%166989017027831478731
12IceHogs615000001727-102110000088040400000919-1020.1671730470085120114111888358728384719061401472314.35%20575.00%1880175950.03%867179248.38%659129650.85%166989017027831478731
13Influenza6300001225187320000011596310000111091100.83325436800851201141118683587283847176477213548918.75%35391.43%1880175950.03%867179248.38%659129650.85%166989017027831478731
14Little Stars21100000910-1110000006511010000035-220.50091524008512011411628358728384776181843400.00%9366.67%0880175950.03%867179248.38%659129650.85%166989017027831478731
15Monsters31200000910-1211000007521010000025-320.33391120008512011411928358728384710730567018422.22%28292.86%0880175950.03%867179248.38%659129650.85%166989017027831478731
16Moose312000001016-620200000815-71100000021120.33310162600851201141190835872838477233467312433.33%23578.26%0880175950.03%867179248.38%659129650.85%166989017027831478731
17Penguins30200010719-121010000027-520100010512-720.333781500851201141177835872838471043356739222.22%18666.67%0880175950.03%867179248.38%659129650.85%166989017027831478731
18Phantoms412000011420-620100001813-52110000067-130.37514233700851201141112783587283847110444110315320.00%18383.33%0880175950.03%867179248.38%659129650.85%166989017027831478731
19Punishers201010008801010000023-11000100065120.50081321008512011411798358728384766251241400.00%6183.33%0880175950.03%867179248.38%659129650.85%166989017027831478731
20Rampage20100010880100000104311010000045-120.50081220008512011411628358728384778271446900.00%7185.71%0880175950.03%867179248.38%659129650.85%166989017027831478731
21Reign623000012126-531100001812-4312000001314-150.417213758108512011411180835872838471917452141321031.25%26580.77%0880175950.03%867179248.38%659129650.85%166989017027831478731
22Rocket412000011918121100000116520100001812-430.3751934530085120114111218358728384712742388221628.57%19478.95%0880175950.03%867179248.38%659129650.85%166989017027831478731
23Senators20200000711-41010000035-21010000046-200.000713200085120114116883587283847681733302150.00%11281.82%0880175950.03%867179248.38%659129650.85%166989017027831478731
24Thunderbirds2110000010100110000006511010000045-120.50010192900851201141164835872838477521204110330.00%10370.00%0880175950.03%867179248.38%659129650.85%166989017027831478731
25Wolfpack303000001419-520200000912-31010000057-200.0001422361085120114111058358728384710532267013430.77%13376.92%0880175950.03%867179248.38%659129650.85%166989017027831478731
Total80293801336323359-3640132100114154184-3040161701222169175-6750.469323547870318512011411255683587283847253985184618473557521.13%3817979.27%7880175950.03%867179248.38%659129650.85%166989017027831478731
_Since Last GM Reset80293801336323359-3640132100114154184-3040161701222169175-6750.469323547870318512011411255683587283847253985184618473557521.13%3817979.27%7880175950.03%867179248.38%659129650.85%166989017027831478731
_Vs Conference50192400016190215-25258130000491111-202511110001299104-5460.460190320510218512011411157983587283847152552152311602465221.14%2484781.05%5880175950.03%867179248.38%659129650.85%166989017027831478731
_Vs Division181040001371611095200002353239520001136297250.69471122193118512011411568835872838475111802004211012322.77%891484.27%3880175950.03%867179248.38%659129650.85%166989017027831478731

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8075OTL132354787025562539851846184731
All Games
GPWLOTWOTL SOWSOLGFGA
8029381336323359
Home Games
GPWLOTWOTL SOWSOLGFGA
4013210114154184
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4016171222169175
Last 10 Games
WLOTWOTL SOWSOL
160201
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3557521.13%3817979.27%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
835872838478512011411
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
880175950.03%867179248.38%659129650.85%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
166989017027831478731


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 - 2020-10-094Influenza3Sound Tigers5WBoxScore
5 - 2020-10-1325Sound Tigers3Influenza2WBoxScore
6 - 2020-10-1434Sound Tigers3IceHogs4LBoxScore
9 - 2020-10-1745Bears0Sound Tigers4WBoxScore
11 - 2020-10-1957Sound Tigers5Bears2WBoxScore
13 - 2020-10-2167Reign3Sound Tigers2LXXBoxScore
16 - 2020-10-2488Sound Tigers2Reign3LBoxScore
17 - 2020-10-2597Reign3Sound Tigers4WBoxScore
20 - 2020-10-28109Sound Tigers1IceHogs5LBoxScore
23 - 2020-10-31125Bears7Sound Tigers2LBoxScore
25 - 2020-11-02136Sound Tigers1Phantoms3LBoxScore
27 - 2020-11-04147Monsters4Sound Tigers3LR2BoxScore
29 - 2020-11-06159Sound Tigers2IceHogs4LBoxScore
31 - 2020-11-08170Admirals5Sound Tigers2LBoxScore
33 - 2020-11-10181Sound Tigers4Bears2WBoxScore
35 - 2020-11-12189Sound Tigers9Condors7WBoxScore
38 - 2020-11-15205Griffins7Sound Tigers2LR1BoxScore
41 - 2020-11-18222Sound Tigers1Penguins9LR1BoxScore
43 - 2020-11-20232Griffins4Sound Tigers2LBoxScore
45 - 2020-11-22247Phantoms6Sound Tigers5LXXBoxScore
50 - 2020-11-27270Rocket5Sound Tigers4LBoxScore
52 - 2020-11-29278Sound Tigers5Comets4WBoxScore
54 - 2020-12-01293Rocket1Sound Tigers7WBoxScore
56 - 2020-12-03304Sound Tigers4Influenza3WXXBoxScore
58 - 2020-12-05314Sound Tigers6Punishers5WXBoxScore
60 - 2020-12-07320Sound Tigers4Devils3WBoxScore
61 - 2020-12-08330Admirals6Sound Tigers1LBoxScore
64 - 2020-12-11346Sound Tigers3IceHogs6LBoxScore
66 - 2020-12-13357Moose9Sound Tigers5LBoxScore
68 - 2020-12-15363Sound Tigers4Bears2WBoxScore
72 - 2020-12-19384Eagles5Sound Tigers8WBoxScore
74 - 2020-12-21394Sound Tigers2Moose1WBoxScore
76 - 2020-12-23405Sound Tigers2Heat3LXBoxScore
78 - 2020-12-25413Devils5Sound Tigers7WBoxScore
82 - 2020-12-29436Influenza5Sound Tigers4LXXBoxScore
84 - 2020-12-31444Sound Tigers9Barracuda5WBoxScore
86 - 2021-01-02455Sound Tigers6Admirals5WBoxScore
88 - 2021-01-04467Rampage3Sound Tigers4WXXBoxScore
90 - 2021-01-06477Sound Tigers4Griffins6LR1BoxScore
93 - 2021-01-09491Reign6Sound Tigers2LBoxScore
95 - 2021-01-11506Sound Tigers5Reign3WBoxScore
97 - 2021-01-13512Sound Tigers10Eagles2WBoxScore
98 - 2021-01-14519Punishers3Sound Tigers2LBoxScore
101 - 2021-01-17530Sound Tigers3Little Stars5LBoxScore
104 - 2021-01-20541Sound Tigers2Monsters5LR2BoxScore
105 - 2021-01-21546Thunderbirds5Sound Tigers6WBoxScore
108 - 2021-01-24562Sound Tigers6Reign8LBoxScore
110 - 2021-01-26572Penguins7Sound Tigers2LR1BoxScore
112 - 2021-01-28586Sound Tigers5Checkers3WBoxScore
114 - 2021-01-30594Sound Tigers4Rampage5LBoxScore
115 - 2021-01-31600Bears4Sound Tigers6WBoxScore
119 - 2021-02-04623Little Stars5Sound Tigers6WBoxScore
123 - 2021-02-08644Sound Tigers3Condors5LBoxScore
124 - 2021-02-09649Crunch2Sound Tigers3WBoxScore
127 - 2021-02-12669Sound Tigers5Phantoms4WBoxScore
129 - 2021-02-14674Monsters1Sound Tigers4WR2BoxScore
131 - 2021-02-16685Sound Tigers4Penguins3WXXBoxScore
134 - 2021-02-19700Sound Tigers5Barracuda3WBoxScore
135 - 2021-02-20702Moose6Sound Tigers3LBoxScore
139 - 2021-02-24726Phantoms7Sound Tigers3LBoxScore
141 - 2021-02-26736Sound Tigers3Influenza4LXXBoxScore
144 - 2021-03-01753Checkers5Sound Tigers2LBoxScore
147 - 2021-03-04766Sound Tigers5Wolfpack7LBoxScore
149 - 2021-03-06777IceHogs5Sound Tigers4LBoxScore
151 - 2021-03-08786Sound Tigers6Rocket7LXXBoxScore
156 - 2021-03-13803Sound Tigers4Senators6LBoxScore
157 - 2021-03-14807Influenza1Sound Tigers6WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2021-03-18830IceHogs3Sound Tigers4WBoxScore
166 - 2021-03-23856Heat6Sound Tigers3LBoxScore
169 - 2021-03-26871Sound Tigers2Rocket5LBoxScore
171 - 2021-03-28883Senators5Sound Tigers3LBoxScore
176 - 2021-04-02907Condors5Sound Tigers4LXXBoxScore
180 - 2021-04-06928Comets5Sound Tigers4LXBoxScore
186 - 2021-04-12949Comets5Sound Tigers4LBoxScore
188 - 2021-04-14965Sound Tigers4Thunderbirds5LBoxScore
190 - 2021-04-16974Barracuda5Sound Tigers3LBoxScore
194 - 2021-04-20995Sound Tigers6Crunch3WBoxScore
195 - 2021-04-211000Wolfpack6Sound Tigers4LBoxScore
199 - 2021-04-251023Wolfpack6Sound Tigers5LBoxScore
203 - 2021-04-291037Sound Tigers7Crunch8LXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance54,44827,317
Attendance PCT68.06%68.29%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2044 - 68.14% 71,512$2,860,473$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,735,124$ 1,465,000$ 1,412,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
7,146$ 1,464,015$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 8,366$ 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