Influenza
GP: 80 | W: 35 | L: 42 | OTL: 3 | P: 73
GF: 293 | GA: 343 | PP%: 14.38% | PK%: 77.40%
GM : Pascal Landry | Morale : 37 | Team Overall : 63
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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
1Bo Horvat (R)X100.007830827184737674697488607045426559720202900,000$
2Tim Schaller (R) (C)X100.008031747974717774677670666766623659710251995,000$
3Linden Vey (R)X100.007133777568727473767675616852494150700241750,000$
4Ryan Dzingel (R)X100.00673879717172686769707063705755462268X0232800,000$
5JT Compher (R)X100.006328837276717576606479556845426521680202800,000$
6Colton Sissons (R)X100.00755170727266687277686364714544456567X0223700,000$
7Lucas Lessio (R)X100.005931757267706973616779616546444757670222550,000$
8Justin Bailey (R)X100.006634835974686471727083496444426358670202900,000$
9Tom Kuhnhackl (R)X100.006131747371696969616865637045453951650231700,000$
10Pavel Zacha (R)X100.006127775873625968656984496440408347640182500,000$
11Christian Fischer (R)X100.006733745380656063606782435940408232630182500,000$
12Aleksi Saarela (R)X100.005325687650554570556066447140408044590182500,000$
13Tim Erixon (R)X100.007240837069796973597064756353463935700242950,000$
14Shane SimsX100.006724797672797268597470726266492637700271500,000$
15Dmitry Sinitsyn (R)X100.006525827768677675417356755545436038690211999,999$
16Haydn Fleury (R)X100.006835866972577260336652845143416749680191500,000$
17Brett Pesce (R)X100.005930768166647273388159684947435238670212650,000$
18Jeff Corbett (R)X100.006535825449716460386972625544435026630212600,000$
Scratches
1Shane Prince (R)X100.006435796377707163716474526654534124650231650,000$
2Johan Larsson (R)X100.00613672716068636672736946604545451964X0231600,000$
3Mitchell Moroz (R)X100.007234666071516963566565605443434519610211600,000$
4Henri Ikonen (R)X100.006841606259446962556362544242424919580202500,000$
5Jakob Forsbacka-Karlsson (R)X100.00633460645154494956476548494242632054X0192600,000$
6Zack MacEwen (R)X100.005939565765566452475657464842435220540192500,000$
7Conner Bleackley (R)X100.00602557476247465548575843514141641952X0191350,000$
8Jaden Lindo (R)X100.005928594860494857475658445241416220520191300,000$
9Radovan Bondra (R)X100.006121534749395454355649453740406019480182400,000$
10Neal Pionk (R)X96.796033867654596983387964714743446654670202500,000$
11Dennis Gilbert (R)X100.006533675951585842336243663141425719570192500,000$
12Brycen Martin (R)X100.005126576448394763196542603341416420540192300,000$
13Simon Bourque (R)X100.00352849514139545123573254404040652046X0182400,000$
TEAM AVERAGE99.90643272656561646554676558574644553563
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
1Al Montoya100.00767578697278777673787072702266751
2Malcolm Subban100.00677283676577846765876651465261710
Scratches
1Charlie Lindgren (R)100.0069737653608875534975734946642065X0
2Jamie Phillips100.0073657854547570565174604644391962X0
TEAM AVERAGE100.0071717961638077636079675552444268
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Larry Robinson77935682998345CAN601500,000$


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
1Bo HorvatInfluenza (Tor)C803764101-103001611672608415314.23%48178522.32815233627831492126149.13%26954141101.13380008113
2Tim SchallerInfluenza (Tor)LW7239498811760113922818814313.88%35142919.86410142416110181834047.37%1336130111.2315000573
3JT CompherInfluenza (Tor)LW79323769-9240115922329716113.79%33130416.516814292110005544140.00%554422001.0614000213
4Linden VeyInfluenza (Tor)RW692932616520143871915411515.18%30129118.72538232191232673357.28%1033717000.9413000426
5Colton SissonsInfluenza (Tor)C802525503500151133165519415.15%24119614.954151213211291501051.66%8152620000.8404000502
6Pavel ZachaInfluenza (Tor)C80162642-12500937696356016.67%18104113.020447930001261148.31%652157000.8100000111
7Lucas LessioInfluenza (Tor)LW80221941628068561794712712.29%2289911.240003271235811038.46%263914000.9100000210
8Neal PionkInfluenza (Tor)D68435392580518712347423.25%83131419.3336921183000362000.00%02436000.5900000101
9Ryan DzingelInfluenza (Tor)LW7416213771806964141377011.35%2487511.8312353301181284048.57%352711000.8523000200
10Justin BaileyInfluenza (Tor)RW80132033-62208976122327210.66%25123615.4513414211000002255.00%601917000.5300000013
11Tim ErixonInfluenza (Tor)D7692332-929513815613750696.57%114204326.89369212670114282000.00%03563000.3100001004
12Tom KuhnhacklInfluenza (Tor)RW80121931-82407172114407710.53%1988011.0010111311231202038.10%422716000.7012000140
13Christian FischerInfluenza (Tor)RW6891726-42801083455152716.36%1497214.302464127000070139.62%531512000.5313000101
14Brett PesceInfluenza (Tor)D8012223-456045806728251.49%67126515.81022712800014200100.00%11142000.3600000000
15Haydn FleuryInfluenza (Tor)D67320232016066965928245.08%87131619.6502231060111198000.00%0645000.3501000100
16Dmitry SinitsynInfluenza (Tor)D7411920-11220611086243401.61%91137918.6503371360110195000.00%01443000.2900000010
17Shane SimsInfluenza (Tor)D3411213-1338060665426171.85%5784925.0012351110002114000.00%02728000.3100000001
18Aleksi SaarelaInfluenza (Tor)C486511-18013841103314.63%43146.55000000001191047.27%11092000.7000000010
19Shane PrinceInfluenza (Tor)C43437-12035223352012.12%53518.1800000000030052.45%143410000.4000000000
20Jeff CorbettInfluenza (Tor)D35156110093019755.26%1543312.4000001000018000.00%038000.2800000000
21Johan LarssonInfluenza (Tor)LW26123-320167209135.00%11345.1900001000000050.00%471000.4500000000
22Dennis GilbertInfluenza (Tor)D90115100360020.00%3495.540000000004000.00%001000.4000000000
23Henri IkonenInfluenza (Tor)LW11000000020000.00%030.290000000002000.00%000000.0000000000
24Mitchell MorozInfluenza (Tor)LW11000000211000.00%060.600000100000000.00%100000.0000000000
25Brycen MartinInfluenza (Tor)D5000100100000.00%1142.840000000000000.00%000000.0000000000
26Jaden LindoInfluenza (Tor)RW120003201011010.00%0877.260000000000000.00%300000.0000000000
Team Total or Average1441281476757-36055169116192453833139011.46%8202247715.60397111022224498111962197929949.30%4931491486210.671033001333028
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
1Al MontoyaInfluenza (Tor)45241620.8813.792467201561307656120.78919435111
2Malcolm SubbanInfluenza (Tor)3892010.8664.33181520131981488130.75082852100
3Charlie LindgrenInfluenza (Tor)132600.8215.195550048268121001.0003923000
Team Total or Average96354230.8694.1648384033525561265250.800308080211


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
Al MontoyaInfluenza (Tor)G301985-01-01No195 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Aleksi SaarelaInfluenza (Tor)C181997-01-01Yes200 Lbs5 ft10NoNoNo2Pro & Farm500,000$0$0$No500,000$
Bo HorvatInfluenza (Tor)C201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No1,200,000$
Brett PesceInfluenza (Tor)D211994-01-01Yes185 Lbs6 ft3NoNoNo2Pro & Farm650,000$0$0$No650,000$
Brycen MartinInfluenza (Tor)D191996-01-01Yes198 Lbs6 ft2NoNoNo2Pro & Farm300,000$0$0$No300,000$
Charlie LindgrenInfluenza (Tor)G221993-01-01Yes180 Lbs6 ft1NoYesNo2Pro & Farm500,000$0$0$No500,000$
Christian FischerInfluenza (Tor)RW181997-01-01Yes214 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Colton SissonsInfluenza (Tor)C221993-01-01Yes187 Lbs6 ft0NoYesNo3Pro & Farm700,000$0$0$No800,000$900,000$
Conner BleackleyInfluenza (Tor)C191996-01-01Yes195 Lbs5 ft11NoYesNo1Pro & Farm350,000$0$0$No
Dennis GilbertInfluenza (Tor)D191996-01-01Yes216 Lbs6 ft2NoNoNo2Pro & Farm500,000$0$0$No500,000$
Dmitry SinitsynInfluenza (Tor)D211994-01-01Yes200 Lbs6 ft2NoNoNo1Pro & Farm999,999$0$0$No
Haydn FleuryInfluenza (Tor)D191996-01-01Yes208 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Henri IkonenInfluenza (Tor)LW201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
JT CompherInfluenza (Tor)LW201995-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm800,000$0$0$No800,000$
Jaden LindoInfluenza (Tor)RW191996-01-01Yes215 Lbs6 ft2NoNoNo1Pro & Farm300,000$0$0$No
Jakob Forsbacka-KarlssonInfluenza (Tor)C191996-01-01Yes184 Lbs6 ft1NoYesNo2Pro & Farm600,000$0$0$No600,000$
Jamie PhillipsInfluenza (Tor)G221993-01-01No180 Lbs6 ft0NoYesNo1Pro & Farm500,000$0$0$No
Jeff CorbettInfluenza (Tor)D211994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm600,000$0$0$No600,000$
Johan LarssonInfluenza (Tor)LW231992-01-01Yes206 Lbs5 ft11NoYesNo1Pro & Farm600,000$0$0$No
Justin BaileyInfluenza (Tor)RW201995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$
Linden VeyInfluenza (Tor)RW241991-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Lucas LessioInfluenza (Tor)LW221993-01-01Yes213 Lbs6 ft1NoNoNo2Pro & Farm550,000$0$0$No600,000$
Malcolm SubbanInfluenza (Tor)G221993-01-01No195 Lbs6 ft1NoNoNo2Pro & Farm700,000$0$0$No800,000$
Mitchell MorozInfluenza (Tor)LW211994-01-01Yes208 Lbs6 ft1NoNoNo1Pro & Farm600,000$0$0$No
Neal PionkInfluenza (Tor)D201995-01-01Yes186 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Pavel ZachaInfluenza (Tor)C181997-01-01Yes210 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Radovan BondraInfluenza (Tor)RW181997-01-01Yes217 Lbs6 ft5NoNoNo2Pro & Farm400,000$0$0$No400,000$
Ryan DzingelInfluenza (Tor)LW231992-01-01Yes190 Lbs6 ft0NoYesNo2Pro & Farm800,000$0$0$No900,000$
Shane PrinceInfluenza (Tor)C231992-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm650,000$0$0$No
Shane SimsInfluenza (Tor)D271988-01-01No195 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
Simon BourqueInfluenza (Tor)D181997-01-01Yes198 Lbs6 ft1NoYesNo2Pro & Farm400,000$0$0$No400,000$
Tim ErixonInfluenza (Tor)D241991-01-01Yes200 Lbs6 ft2NoNoNo2Pro & Farm950,000$0$0$No950,000$
Tim SchallerInfluenza (Tor)LW251990-01-01Yes206 Lbs6 ft2NoNoNo1Pro & Farm995,000$0$0$No
Tom KuhnhacklInfluenza (Tor)RW231992-01-01Yes196 Lbs6 ft2NoNoNo1Pro & Farm700,000$0$0$No
Zack MacEwenInfluenza (Tor)C191996-01-01Yes205 Lbs6 ft3NoNoNo2Pro & Farm500,000$0$0$No500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3521.11197 Lbs6 ft11.66605,571$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tim SchallerBo HorvatLinden Vey40122
2JT CompherPavel ZachaJustin Bailey30122
3Ryan DzingelColton SissonsTom Kuhnhackl20122
4Lucas LessioAleksi SaarelaChristian Fischer10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim ErixonHaydn Fleury40122
2Jeff CorbettShane Sims30122
3Brett PesceDmitry Sinitsyn20122
4Tim ErixonShane Sims10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tim SchallerBo HorvatLinden Vey60122
2JT CompherColton SissonsJustin Bailey40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim ErixonHaydn Fleury60122
2Brett PesceShane Sims40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Bo HorvatTim Schaller60122
2Linden VeyJT Compher40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim ErixonShane Sims60122
2Haydn FleuryDmitry Sinitsyn40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Bo Horvat60122Tim ErixonShane Sims60122
2Tim Schaller40122Haydn FleuryDmitry Sinitsyn40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Bo HorvatTim Schaller60122
2Linden VeyJT Compher40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim ErixonShane Sims60122
2Haydn FleuryDmitry Sinitsyn40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tim SchallerBo HorvatLinden VeyTim ErixonHaydn Fleury
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Tim SchallerBo HorvatLinden VeyTim ErixonHaydn Fleury
Extra Forwards
Normal PowerPlayPenalty Kill
Ryan Dzingel, Lucas Lessio, Tom KuhnhacklRyan Dzingel, Lucas LessioTom Kuhnhackl
Extra Defensemen
Normal PowerPlayPenalty Kill
Brett Pesce, Dmitry Sinitsyn, Haydn FleuryBrett PesceDmitry Sinitsyn, Haydn Fleury
Penalty Shots
Bo Horvat, Tim Schaller, Linden Vey, JT Compher, Ryan Dzingel
Goalie
#1 : Al Montoya, #2 : Malcolm Subban


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
1Admirals312000001115-41010000037-42110000088020.3331118290091105901097916852847391154831591218.33%13561.54%0899184448.75%892179449.72%669132450.53%172594916587581461728
2Barracuda30200001710-32010000168-21010000012-110.16771219009110590101079168528473994288681500.00%4175.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
3Bears624000001824-6321000001311230300000513-840.3331830480091105901018991685284739165545113820315.00%23482.61%0899184448.75%892179449.72%669132450.53%172594916587581461728
4Checkers220000001055110000003211100000073441.000101626009110590106591685284739572310408337.50%50100.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
5Comets2010100078-1100010006511010000013-220.5007101700911059010669168528473958161831700.00%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
6Condors31200000121112020000049-51100000082620.3331219310091105901089916852847391141722661119.09%11281.82%0899184448.75%892179449.72%669132450.53%172594916587581461728
7Crunch32100000101002110000078-11100000032140.66710182800911059010104916852847398431345417317.65%17570.59%0899184448.75%892179449.72%669132450.53%172594916587581461728
8Devils6330000028271312000001314-1321000001513260.500284977109110590102069168528473918663421281317.69%21480.95%2899184448.75%892179449.72%669132450.53%172594916587581461728
9Eagles21100000610-41010000017-61100000053220.500610160091105901064916852847396730184410330.00%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
10Griffins403000101120-920100010710-320200000410-620.250111425009110590101289168528473912232361071516.67%18572.22%1899184448.75%892179449.72%669132450.53%172594916587581461728
11Heat210010001082110000003211000100076141.00010182800911059010719168528473976201847600.00%9366.67%0899184448.75%892179449.72%669132450.53%172594916587581461728
12IceHogs31200000816-821100000710-31010000016-520.33381523009110590109591685284739903831751516.67%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
13Little Stars211000009721010000015-41100000082620.5009142300911059010699168528473972211845700.00%9188.89%0899184448.75%892179449.72%669132450.53%172594916587581461728
14Monsters3110000111110110000006332010000158-330.500111728009110590101079168528473911040208211327.27%10280.00%1899184448.75%892179449.72%669132450.53%172594916587581461728
15Moose31200000111101010000034-12110000087120.3331119301091105901010791685284739803438736233.33%19384.21%0899184448.75%892179449.72%669132450.53%172594916587581461728
16Penguins21100000811-31010000037-41100000054120.50081321009110590106591685284739602928421200.00%14750.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
17Phantoms312000001218-61010000039-62110000099020.33312183000911059010989168528473910436354916425.00%15380.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
18Punishers20200000510-51010000036-31010000024-200.00051015009110590107091685284739541816593133.33%8187.50%0899184448.75%892179449.72%669132450.53%172594916587581461728
19Rampage2020000047-31010000024-21010000023-100.0004610009110590106091685284739672722464125.00%11372.73%1899184448.75%892179449.72%669132450.53%172594916587581461728
20Reign632000102324-1320000101174312000001217-580.6672338611091105901018091685284739197583413430516.67%17570.59%0899184448.75%892179449.72%669132450.53%172594916587581461728
21Rocket422000002123-2211000001112-1211000001011-140.500213859209110590101329168528473914054508116425.00%25676.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
22Senators21000010862110000003211000001054141.00081018009110590106891685284739652514468225.00%7271.43%0899184448.75%892179449.72%669132450.53%172594916587581461728
23Sound Tigers603000211825-730100011910-130200010915-650.417182846009110590101769168528473918670941473538.57%48981.25%2899184448.75%892179449.72%669132450.53%172594916587581461728
24Thunderbirds422000001415-120200000711-42200000074340.500142337009110590101459168528473912442307112216.67%15473.33%0899184448.75%892179449.72%669132450.53%172594916587581461728
25Wolfpack21100000111101010000068-21100000053220.500111930009110590106791685284739742116454125.00%8275.00%0899184448.75%892179449.72%669132450.53%172594916587581461728
Total80284202053293343-5040122201032141181-4040162001021152162-10730.45629348277550911059010262591685284739256187573417773134514.38%3548077.40%7899184448.75%892179449.72%669132450.53%172594916587581461728
_Since Last GM Reset80284202053293343-5040122201032141181-4040162001021152162-10730.45629348277550911059010262591685284739256187573417773134514.38%3548077.40%7899184448.75%892179449.72%669132450.53%172594916587581461728
_Vs Conference47132700043163208-45237110003283100-17246160001180108-28370.39416326642940911059010150591685284739151750945010792022813.86%2124678.30%4899184448.75%892179449.72%669132450.53%172594916587581461728
_Vs Division1859000315973-149420002133285917000102645-19170.47259961551091105901054591685284739548182179419851112.94%881879.55%2899184448.75%892179449.72%669132450.53%172594916587581461728

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8073L229348277526252561875734177750
All Games
GPWLOTWOTL SOWSOLGFGA
8028422053293343
Home Games
GPWLOTWOTL SOWSOLGFGA
4012221032141181
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4016201021152162
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3134514.38%3548077.40%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
91685284739911059010
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
899184448.75%892179449.72%669132450.53%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
172594916587581461728


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2020-10-094Influenza3Sound Tigers5LR1BoxScore
3 - 2020-10-1118Influenza2Devils4LBoxScore
5 - 2020-10-1325Sound Tigers3Influenza2LR1BoxScore
7 - 2020-10-1536Influenza6Reign4WBoxScore
10 - 2020-10-1852Reign2Influenza3WXXBoxScore
13 - 2020-10-2171Devils4Influenza2LBoxScore
15 - 2020-10-2380Influenza1Bears3LBoxScore
17 - 2020-10-2594Bears3Influenza5WBoxScore
20 - 2020-10-28111Reign2Influenza4WBoxScore
23 - 2020-10-31124Influenza3Monsters5LBoxScore
26 - 2020-11-03141Rocket6Influenza4LR3BoxScore
28 - 2020-11-05152Influenza2Admirals4LBoxScore
29 - 2020-11-06161Influenza3Reign8LBoxScore
32 - 2020-11-09174Bears6Influenza5LBoxScore
34 - 2020-11-11183Influenza4Thunderbirds3WBoxScore
36 - 2020-11-13195Influenza2Bears6LBoxScore
38 - 2020-11-15204Crunch3Influenza4WR1BoxScore
42 - 2020-11-19224Influenza7Devils4WBoxScore
43 - 2020-11-20233Little Stars5Influenza1LBoxScore
45 - 2020-11-22248Eagles7Influenza1LR1BoxScore
50 - 2020-11-27268Griffins5Influenza6WXXBoxScore
53 - 2020-11-30286Influenza3Griffins5LR2BoxScore
55 - 2020-12-02296Influenza6Admirals4WBoxScore
56 - 2020-12-03304Sound Tigers4Influenza3LXXR1BoxScore
60 - 2020-12-07321Phantoms9Influenza3LBoxScore
63 - 2020-12-10334Influenza2Rampage3LBoxScore
65 - 2020-12-12347Wolfpack8Influenza6LBoxScore
69 - 2020-12-16371Reign3Influenza4WBoxScore
71 - 2020-12-18379Influenza1Comets3LBoxScore
74 - 2020-12-21395Punishers6Influenza3LBoxScore
78 - 2020-12-25418Influenza1IceHogs6LBoxScore
80 - 2020-12-27422Condors6Influenza3LBoxScore
82 - 2020-12-29436Influenza5Sound Tigers4WXXR1BoxScore
84 - 2020-12-31446Admirals7Influenza3LBoxScore
88 - 2021-01-04465Influenza2Bears4LBoxScore
90 - 2021-01-06476Barracuda4Influenza3LBoxScore
92 - 2021-01-08484Influenza7Checkers3WBoxScore
94 - 2021-01-10499Condors3Influenza1LBoxScore
96 - 2021-01-12510Influenza5Penguins4WR3BoxScore
101 - 2021-01-17527Rampage4Influenza2LBoxScore
103 - 2021-01-19538Influenza1Barracuda2LBoxScore
106 - 2021-01-22553Penguins7Influenza3LR3BoxScore
109 - 2021-01-25569Influenza8Condors2WBoxScore
111 - 2021-01-27580Senators2Influenza3WBoxScore
115 - 2021-01-31603Checkers2Influenza3WBoxScore
117 - 2021-02-02615Influenza5Eagles3WR1BoxScore
120 - 2021-02-05629Comets5Influenza6WXBoxScore
123 - 2021-02-08641Influenza6Phantoms4WR2BoxScore
125 - 2021-02-10655Heat2Influenza3WBoxScore
127 - 2021-02-12666Influenza1Griffins5LR2BoxScore
130 - 2021-02-15680Moose4Influenza3LBoxScore
132 - 2021-02-17690Influenza7Heat6WXBoxScore
135 - 2021-02-20706Influenza6Rocket8LR3BoxScore
136 - 2021-02-21711Barracuda4Influenza3LXXBoxScore
139 - 2021-02-24729Influenza3Crunch2WR1BoxScore
141 - 2021-02-26736Sound Tigers3Influenza4WXXBoxScore
144 - 2021-03-01752Influenza5Senators4WXXBoxScore
146 - 2021-03-03759Influenza4Rocket3WR3BoxScore
147 - 2021-03-04767Rocket6Influenza7WBoxScore
150 - 2021-03-07782Influenza2Moose4LR2BoxScore
151 - 2021-03-08787Influenza8Little Stars2WBoxScore
154 - 2021-03-11797Monsters3Influenza6WBoxScore
157 - 2021-03-14807Influenza1Sound Tigers6LR1BoxScore
159 - 2021-03-16820Thunderbirds7Influenza4LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
161 - 2021-03-18833Influenza6Devils5WBoxScore
163 - 2021-03-20842Influenza2Punishers4LBoxScore
165 - 2021-03-22851Bears2Influenza3WBoxScore
167 - 2021-03-24860Influenza3Thunderbirds1WBoxScore
168 - 2021-03-25870Influenza3Phantoms5LR2BoxScore
170 - 2021-03-27878Griffins5Influenza1LR2BoxScore
173 - 2021-03-30894Influenza5Wolfpack3WBoxScore
176 - 2021-04-02906Crunch5Influenza3LR1BoxScore
177 - 2021-04-03913Influenza6Moose3WBoxScore
180 - 2021-04-06927Influenza2Monsters3LXXBoxScore
182 - 2021-04-08935IceHogs3Influenza5WBoxScore
186 - 2021-04-12951Influenza3Reign5LBoxScore
188 - 2021-04-14961IceHogs7Influenza2LBoxScore
192 - 2021-04-18986Devils4Influenza7WBoxScore
196 - 2021-04-221008Devils6Influenza4LBoxScore
202 - 2021-04-281033Thunderbirds4Influenza3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance53,37326,755
Attendance PCT66.72%66.89%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2003 - 66.77% 70,088$2,803,521$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,709,639$ 2,119,500$ 2,089,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,339$ 2,091,899$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 12,778$ 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