Spiders

GP: 82 | W: 54 | L: 23 | OTL: 5 | P: 113
GF: 370 | GA: 279 | PP%: 21.22% | PK%: 78.34%
GM : Simon Bouchard | Morale : 50 | Team Overall : 46
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 SP
1John Hayden (R)XX100.00905671717860475441555267483835050580
2Jesse PuljujarviX100.00573588667463595835516463483734050580
3Dale Weise (A)XX100.00685083637262685142455660455750050570
4Anders Bjork (R)XX100.00493589685858425835575864483532050560
5Gabriel DumontXXX100.00665086726057464683425070484643050550
6John Quenneville (R)XXX100.00533591666765365236525257453734050540
7Markus Hannikainen (R)XX100.00563588686953404867445260454036050530
8Taylor Leier (C)X100.00473589735561434835504664484136050530
9Tyler GraovacXX100.00483588637354384883425455484136050520
10Riley Tufte (R)X100.00505050507850505050505050503230050500
11Justin ShuggX100.00413576705737293135313160453532050440
12Jens Looke (R)XX100.00414343435640404143414143423230050430
13Markus NutivaaraX100.00553589746264615135534967483835050590
14Samuel Girard (R)X100.00513592794555524935524563483532050550
15Calle Rosen (R)X100.00493573656349353335333255483532050480
16John Draeger (R)X100.00394343435937373943393943413230050420
17Mark Friedman (R)X100.00394343435737373943393943413230050420
18Jeff Taylor (R)X100.00353737375535353537353537363230050380
Scratches
1Yegor Korshkov (R)X100.00454545455745454545454545453230050450
2Brett Pollock (R)XX100.00414545455739394145414145433230050430
3Connor Hurley (R)X100.00414545455339394145414145433230050430
4Arkhip Nekolenko (R)XXX100.00414545454539394145414145433230050420
5Rhett Gardner (R)X100.00404040407740404040404040403230050420
6Nathan Noel (R)X100.00384040405237373840383840393230050400
7Kyle Platzer (R)XX100.00364040405735353640363640383230050390
8Zachary Stepan (R)X100.00364040404735353640363640383230050390
9Austin Carroll (R)X100.00353737377535353537353537363230050390
10Anton Zlobin (R)XX100.00333737376633333337333337353230050380
11Kirill Kaprizov (R)XX100.00353737375635353537353537363230050380
12Alfons Malmstrom (R)X100.00404040406240404040404040403230050420
13Keaton Thompson (R)X100.00394343435937373943393943413230050420
14Taylor Aronson (R)X100.00394343436337373943393943413230050420
15Jamie DoornboschX100.00309327326529273135313133453532050360
TEAM AVERAGE100.0046425852614541424342434943353205046
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
1Jon Gillies (R)100.0042458287384646354565453734050500
2Ilya Samsonov (R)100.0048494877484747474747463230050490
Scratches
1Mackenzie Skapski100.0048455170474646454656553532050480
2Brent Moran (R)100.0038403868373636363636353230050400
3Stephon Williams (R)100.0038403871373636363636353230050400
4Dylan Wells (R)100.0037373766373737373737373230050400
TEAM AVERAGE100.004243497341414139414642333105045
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Phil Housley72717875697072USA542500,000$


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 NamePOS GP 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
1John HaydenSpiders (Har)C/LW68327510750153252741512615819812.26%24123918.2351924592370002475148.79%144300011.7324122854
2Gabriel DumontSpiders (Har)C/LW/RW673754913674301051382628218014.12%20110716.53151227642000000203265.65%78600011.6414114778
3Anders BjorkSpiders (Har)C/LW59185876106021120214571448.41%18103117.4841519511930001212244.95%103000001.4735000513
4Jesse PuljujarviSpiders (Har)RW54373774328033882355816115.74%1295717.74891751190000036041.94%6200021.55230003126
5John QuennevilleSpiders (Har)C/LW/RW763339722810035982074913915.94%16125716.5410102053255000035043.42%35700001.1500000475
6Dale WeiseSpiders (Har)LW/RW82353267195315118822377218914.77%19123515.073912291320000149146.23%10600111.0802012443
7Samuel GirardSpiders (Har)D748505813340667011543916.96%116165722.4041721572250222204100.00%000000.7005000121
8Markus HannikainenSpiders (Har)LW/RW8221284912100681191904013711.05%21110413.4702232710171683255.75%22600000.8900000314
9Markus NutivaaraSpiders (Har)D47123749103406464103367311.65%65104522.2441317571630002133200.00%000000.9400000222
10Taylor LeierSpiders (Har)LW8216324836040136174541189.20%38116614.2200012202163081042.68%8200020.8200000201
11Tyler GraovacSpiders (Har)C/LW821826442826034148190411089.47%17113813.8800045011102910166.95%141600000.7701000032
12Riley TufteSpiders (Har)LW82141832-16315926894318114.89%1286110.511015210003491056.78%47900000.7423003220
13Calle RosenSpiders (Har)D82419233452096255418287.41%97168320.531342724500012170020.00%500000.2701000001
14John DraegerSpiders (Har)D823121543580120121951415.79%63148718.150222940000205100.00%000000.2000000111
15Tomas NosekHartfordC/LW76396407142391726.09%411416.40022318000001153.91%12800001.5700000201
16Jens LookeSpiders (Har)LW/RW371784100217175285.88%540811.05000070001450030.77%2600000.3900000001
17Mark FriedmanSpiders (Har)D473477475937115927.27%2487018.53101190000077000.00%000000.1600001000
18Yegor KorshkovSpiders (Har)RW28437-710028182741314.81%230410.89202759000000047.62%8400000.4600000200
19Justin ShuggSpiders (Har)LW22066-300518183210.00%42129.64000000002280033.33%1500000.5700000000
20Taylor AronsonSpiders (Har)D37246722049454540.00%2069218.72202486011154000.00%000000.1700000010
21Jeff TaylorSpiders (Har)D812355763597461433.33%27141017.422022950000128100.00%000000.0700010000
22Mike ReillyHartfordD31340407032233.33%06923.291122700008100.00%000001.1400000000
23Brett PollockSpiders (Har)LW/RW71233000020450.00%0588.320000000000100.00%100001.0300000000
24Connor HurleySpiders (Har)C3033200605020.00%04816.14000215000000036.36%6600001.2400000000
25Keaton ThompsonSpiders (Har)D2902262404535230.00%1952117.99000375000027000.00%000000.0800000000
26Jamie DoornboschSpiders (Har)D70004195900000.00%113519.4300002700008000.00%000000.0000100000
Team Total or Average1327308557865403790100153313942477679176912.43%6442182216.44631141774872480347482070431054.52%631200170.7910283512464843
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
1Ilya SamsonovSpiders (Har)49331240.8833.4928890116814330200.700204834300
2Jon GilliesSpiders (Har)36211110.8883.132070011089640400.769133448110
Team Total or Average85542350.8853.3449600227623970600.727338282410


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Alfons MalmstromSpiders (Har)D191998-06-12Yes190 Lbs6 ft2NoNoNo4ELCPro & Farm650,000$65,000$0$NoLink
Anders BjorkSpiders (Har)C/LW211996-08-05Yes186 Lbs6 ft0NoNoNo2ELCPro & Farm525,000$52,500$0$NoLink
Anton ZlobinSpiders (Har)LW/RW241993-02-22Yes195 Lbs5 ft11NoNoNo2RFAPro & Farm625,000$62,500$0$NoLink
Arkhip NekolenkoSpiders (Har)C/LW/RW201996-11-03Yes159 Lbs6 ft1NoNoNo2ELCPro & Farm825,000$82,500$0$NoLink
Austin CarrollSpiders (Har)RW231994-03-26Yes214 Lbs6 ft3NoNoNo3RFAPro & Farm525,000$52,500$0$NoLink
Brent MoranSpiders (Har)G211996-07-05Yes186 Lbs6 ft3NoNoNo2ELCPro & Farm650,000$65,000$0$NoLink
Brett PollockSpiders (Har)LW/RW211996-05-17Yes182 Lbs6 ft2NoNoNo2ELCPro & Farm925,000$92,500$0$NoLink
Calle RosenSpiders (Har)D231994-02-02Yes195 Lbs6 ft1NoNoNo4RFAPro & Farm925,000$92,500$0$NoLink
Connor HurleySpiders (Har)C221995-09-15Yes174 Lbs6 ft1NoNoNo2RFAPro & Farm825,000$82,500$0$NoLink
Dale WeiseSpiders (Har)LW/RW291988-08-05No206 Lbs6 ft2NoNoNo3UFAPro & Farm1,600,000$160,000$0$NoLink
Dylan WellsSpiders (Har)G191998-01-03Yes182 Lbs6 ft2NoNoNo4ELCPro & Farm742,500$74,250$0$NoLink
Gabriel DumontSpiders (Har)C/LW/RW261990-10-06No190 Lbs5 ft10NoNoNo2RFAPro & Farm750,000$75,000$0$NoLink
Ilya SamsonovSpiders (Har)G201997-02-22Yes203 Lbs6 ft4NoNoNo3ELCPro & Farm895,000$89,500$0$NoLink
Jamie DoornboschSpiders (Har)D271990-02-01No198 Lbs6 ft2NoNoNo1RFAPro & Farm700,000$70,000$0$NoLink
Jeff TaylorSpiders (Har)D231994-04-13Yes180 Lbs6 ft0NoNoNo3RFAPro & Farm525,000$52,500$0$NoLink
Jens LookeSpiders (Har)LW/RW201997-04-11Yes180 Lbs6 ft1NoNoNo3ELCPro & Farm700,000$70,000$0$NoLink
Jesse PuljujarviSpiders (Har)RW191998-05-07No211 Lbs6 ft4NoNoNo3ELCPro & Farm925,000$92,500$0$NoLink
John DraegerSpiders (Har)D231993-12-02Yes186 Lbs6 ft1NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
John HaydenSpiders (Har)C/LW221995-02-14Yes223 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
John QuennevilleSpiders (Har)C/LW/RW211996-04-16Yes195 Lbs6 ft1NoNoNo2ELCPro & Farm843,000$84,300$0$NoLink
Jon GilliesSpiders (Har)G231994-01-22Yes223 Lbs6 ft6NoNoNo2RFAPro & Farm925,000$92,500$0$NoLink
Justin ShuggSpiders (Har)LW251991-12-24No185 Lbs5 ft11NoNoNo1RFAPro & Farm600,000$60,000$0$NoLink
Keaton ThompsonSpiders (Har)D221995-09-14Yes187 Lbs6 ft0NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
Kirill KaprizovSpiders (Har)LW/RW201997-04-26Yes185 Lbs5 ft9NoNoNo3ELCPro & Farm525,000$52,500$0$NoLink
Kyle PlatzerSpiders (Har)C/RW221995-03-04Yes185 Lbs5 ft11NoNoNo2RFAPro & Farm710,000$71,000$0$NoLink
Mackenzie SkapskiSpiders (Har)G231994-06-15No191 Lbs6 ft3NoNoNo1RFAPro & Farm630,000$63,000$0$NoLink
Mark FriedmanSpiders (Har)D211995-12-25Yes185 Lbs5 ft10NoNoNo2ELCPro & Farm700,000$70,000$0$NoLink
Markus HannikainenSpiders (Har)LW/RW241993-03-26Yes200 Lbs6 ft1NoNoNo2RFAPro & Farm693,000$69,300$0$NoLink
Markus NutivaaraSpiders (Har)D231994-06-06No191 Lbs6 ft1NoNoNo3RFAPro & Farm792,000$79,200$0$NoLink
Nathan NoelSpiders (Har)C201997-06-21Yes175 Lbs5 ft10NoNoNo3ELCPro & Farm650,000$65,000$0$NoLink
Rhett GardnerSpiders (Har)LW211996-02-28Yes220 Lbs6 ft3NoNoNo4ELCPro & Farm650,000$65,000$0$NoLink
Riley TufteSpiders (Har)LW191998-04-10Yes220 Lbs6 ft6NoNoNo4ELCPro & Farm895,000$89,500$0$NoLink
Samuel GirardSpiders (Har)D191998-05-12Yes162 Lbs5 ft10NoNoNo4ELCPro & Farm742,500$74,250$0$NoLink
Stephon WilliamsSpiders (Har)G241993-04-28Yes194 Lbs6 ft1NoNoNo2RFAPro & Farm925,000$92,500$0$NoLink
Taylor AronsonSpiders (Har)D251991-12-30Yes196 Lbs6 ft0NoNoNo2RFAPro & Farm605,000$60,500$0$NoLink
Taylor LeierSpiders (Har)LW231994-02-15No180 Lbs5 ft11NoNoNo2RFAPro & Farm810,000$81,000$0$NoLink
Tyler GraovacSpiders (Har)C/LW241993-04-27No208 Lbs6 ft5NoNoNo1RFAPro & Farm767,000$76,700$0$NoLink
Yegor KorshkovSpiders (Har)RW211996-07-10Yes180 Lbs6 ft4NoNoNo4ELCPro & Farm825,000$82,500$0$NoLink
Zachary StepanSpiders (Har)C231994-01-06Yes165 Lbs5 ft11NoNoNo2RFAPro & Farm650,000$65,000$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3922.18191 Lbs6 ft12.49752,564$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John HaydenGabriel DumontJohn Quenneville33014
2Dale WeiseAnders BjorkJesse Puljujarvi31113
3Taylor LeierTyler GraovacMarkus Hannikainen22122
4Justin ShuggRiley TufteJens Looke14122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus NutivaaraSamuel Girard35113
2Calle RosenJeff Taylor30113
3John DraegerMark Friedman27122
4Samuel GirardMark Friedman8113
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1John HaydenGabriel DumontJohn Quenneville55014
2Dale WeiseAnders BjorkJesse Puljujarvi45113
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus NutivaaraSamuel Girard60014
2Jeff TaylorCalle Rosen40113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyler GraovacTaylor Leier60131
2Markus HannikainenJustin Shugg40131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus NutivaaraMark Friedman50131
2John DraegerSamuel Girard50131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tyler Graovac50131Calle RosenMarkus Nutivaara50131
2John Hayden50131John DraegerJeff Taylor50230
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Gabriel DumontJohn Hayden60113
2Anders BjorkJesse Puljujarvi40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Markus NutivaaraSamuel Girard60113
2Calle RosenJeff Taylor40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
John HaydenGabriel DumontJesse PuljujarviMarkus NutivaaraSamuel Girard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Taylor LeierGabriel DumontDale WeiseMarkus NutivaaraSamuel Girard
Extra Forwards
Normal PowerPlayPenalty Kill
Riley Tufte, Markus Hannikainen, Tyler GraovacRiley Tufte, Markus HannikainenDale Weise
Extra Defensemen
Normal PowerPlayPenalty Kill
John Draeger, Mark Friedman, Calle RosenJohn DraegerMark Friedman, Calle Rosen
Penalty Shots
Samuel Girard, John Hayden, Gabriel Dumont, Anders Bjork, Riley Tufte
Goalie
#1 : Ilya Samsonov, #2 : Jon Gillies


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
1Admirals21100000770110000004131010000036-320.5007132000158122801663951967944647123173513538.46%5180.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
2Baby Hawks2020000047-31010000013-21010000034-100.0004610001581228016539519679446453131636700.00%8275.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
3Bears422000002220222000000149520200000811-340.5002238600015812280161119519679446411536537224416.67%19668.42%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
4Bruins3200100014951100000041321001000108261.00014243800158122801698951967944645513215915640.00%80100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
5Cabaret Lady Mary Ann31101000171251010000045-121001000137640.667172946001581228016121951967944641193034487114.29%16475.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
6Caroline430010002310132200000015782100100083581.0002336590015812280161859519679446411333349016212.50%16287.50%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
7Chiefs20200000411-71010000023-11010000028-600.00046100015812280165395196794464751418498112.50%9455.56%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
8Chill211000007521010000015-41100000060620.5007121901158122801666951967944646314153610330.00%50100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
9Comets21000100880110000004311000010045-130.75081119001581228016749519679446457138406233.33%30100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
10Cougars302000011117-61010000057-220100001610-410.16711203100158122801675951967944641233630726116.67%14471.43%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
11Crunch3110100014122201010009901100000053240.667142135001581228016113951967944648418315121523.81%13561.54%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
12Heat21000010963100000105411100000042241.000913220015812280169895196794464541922527114.29%11463.64%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
13Jayhawks2020000048-41010000034-11010000014-300.0004812001581228016479519679446441138318112.50%4175.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
14Las Vegas2020000048-41010000035-21010000013-200.00046100015812280165395196794464512422335120.00%11190.91%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
15Manchots4310000014952110000056-12200000093660.7501424380015812280161389519679446410332476914428.57%20480.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
16Marlies312000001011-1211000009811010000013-220.3331017270015812280168995196794464881726597457.14%13376.92%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
17Minnesota220000001156110000008351100000032141.0001118290015812280166595196794464701014413133.33%7185.71%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
18Monarchs210010001477110000008261000100065141.00014233700158122801697951967944646017243713215.38%12283.33%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
19Monsters4210001017125210000109632110000086260.7501728450015812280161149519679446411043427320525.00%21671.43%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
20Monsters210000101183110000005321000001065141.00011172800158122801667951967944646227123911436.36%6266.67%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
21Oceanics21100000743110000004041010000034-120.500711180115812280165695196794464701636461119.09%70100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
22Oil Kings21000001550110000003211000000123-130.750581300158122801658951967944644651935500.00%60100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
23Phantoms43000001181262200000084421000001108270.8751835530015812280161569519679446410136496820525.00%17476.47%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
24Rocket3100011012752100001010461000010023-150.833121830001581228016116951967944647118505516318.75%13376.92%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
25Senators3210000016133211000009811100000075240.6671631470015812280169995196794464852752521417.14%15380.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
26Sharks21100000131121010000067-11100000074320.50013223500158122801610595196794464942621587114.29%70100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
27Sound Tigers440000002010102200000012572200000085381.00020305000158122801612595196794464782738751715.88%14564.29%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
28Stars2200000014410110000009361100000051441.000142337001581228016107951967944644411232610220.00%9277.78%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
29Thunder3300000016791100000052322000000115661.000162642001581228016101951967944648323265510330.00%120100.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
Total8244230624337027991412512010301951346141191105213175145301130.689370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554
31Wolf Pack4300100024141022000000115621001000139481.00024446800158122801619095196794464158423210413323.08%16475.00%01447268253.95%1313238255.12%793148353.47%2033140418486061084554
_Since Last GM Reset8244230624337027991412512010301951346141191105213175145301130.689370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554
_Vs Conference46301103011219151682317500010109694023136030011108228690.75021937859702158122801616089519679446413343924998982084823.08%1913880.10%11447268253.95%1313238255.12%793148353.47%2033140418486061084554
_Vs Division28121010111388751147000010744232145101001644519290.5181382353730015812280161019951967944647782492955511242419.35%1233174.80%11447268253.95%1313238255.12%793148353.47%2033140418486061084554

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82113W337061898828932397676840159602
All Games
GPWLOTWOTL SOWSOLGFGA
8244236243370279
Home Games
GPWLOTWOTL SOWSOLGFGA
4125121030195134
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4119115213175145
Last 10 Games
WLOTWOTL SOWSOL
630001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3447321.22%3377378.34%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
951967944641581228016
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1447268253.95%1313238255.12%793148353.47%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2033140418486061084554


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
4 - 2018-10-0617Oil Kings2Spiders3WBoxScore
9 - 2018-10-1148Bears4Spiders7WBoxScore
12 - 2018-10-1471Sharks7Spiders6LBoxScore
14 - 2018-10-1678Stars3Spiders9WBoxScore
16 - 2018-10-1891Monsters3Spiders5WBoxScore
18 - 2018-10-20102Spiders5Phantoms2WBoxScore
23 - 2018-10-25136Chill5Spiders1LBoxScore
25 - 2018-10-27148Cabaret Lady Mary Ann5Spiders4LBoxScore
28 - 2018-10-30172Spiders4Thunder2WBoxScore
30 - 2018-11-01184Spiders2Cougars5LBoxScore
32 - 2018-11-03198Spiders4Sound Tigers3WBoxScore
34 - 2018-11-05212Spiders3Manchots1WBoxScore
35 - 2018-11-06218Spiders7Senators5WBoxScore
38 - 2018-11-09236Spiders1Marlies3LBoxScore
40 - 2018-11-11256Spiders3Oceanics4LBoxScore
42 - 2018-11-13265Manchots3Spiders1LBoxScore
44 - 2018-11-15278Spiders5Phantoms6LXXBoxScore
46 - 2018-11-17292Cougars7Spiders5LBoxScore
47 - 2018-11-18304Spiders5Caroline1WBoxScore
50 - 2018-11-21319Rocket2Spiders3WXXBoxScore
52 - 2018-11-23336Sound Tigers3Spiders6WBoxScore
54 - 2018-11-25359Spiders7Thunder3WBoxScore
55 - 2018-11-26363Spiders4Cabaret Lady Mary Ann3WXBoxScore
59 - 2018-11-30391Spiders3Bears5LBoxScore
60 - 2018-12-01401Oceanics0Spiders4WBoxScore
62 - 2018-12-03413Thunder2Spiders5WBoxScore
65 - 2018-12-06439Spiders6Monarchs5WXBoxScore
68 - 2018-12-09458Spiders3Admirals6LBoxScore
69 - 2018-12-10464Spiders7Sharks4WBoxScore
73 - 2018-12-14487Las Vegas5Spiders3LBoxScore
74 - 2018-12-15502Spiders6Chill0WBoxScore
77 - 2018-12-18518Marlies6Spiders4LBoxScore
79 - 2018-12-20535Spiders5Monsters2WBoxScore
80 - 2018-12-21542Senators5Spiders4LBoxScore
82 - 2018-12-23559Monsters3Spiders4WXXBoxScore
86 - 2018-12-27567Spiders5Bruins4WBoxScore
88 - 2018-12-29583Caroline4Spiders8WBoxScore
90 - 2018-12-31600Comets3Spiders4WBoxScore
92 - 2019-01-02618Spiders5Stars1WBoxScore
94 - 2019-01-04634Spiders1Jayhawks4LBoxScore
96 - 2019-01-06646Spiders1Las Vegas3LBoxScore
98 - 2019-01-08658Spiders5Crunch3WBoxScore
100 - 2019-01-10672Marlies2Spiders5WBoxScore
102 - 2019-01-12687Phantoms2Spiders5WBoxScore
104 - 2019-01-14707Baby Hawks3Spiders1LBoxScore
105 - 2019-01-15713Spiders3Monsters4LBoxScore
107 - 2019-01-17727Spiders4Sound Tigers2WBoxScore
109 - 2019-01-19740Admirals1Spiders4WBoxScore
118 - 2019-01-28772Spiders6Manchots2WBoxScore
121 - 2019-01-31779Wolf Pack3Spiders7WBoxScore
123 - 2019-02-02790Spiders2Rocket3LXBoxScore
126 - 2019-02-05812Monarchs2Spiders8WBoxScore
128 - 2019-02-07825Sound Tigers2Spiders6WBoxScore
130 - 2019-02-09840Minnesota3Spiders8WBoxScore
131 - 2019-02-10856Caroline3Spiders7WBoxScore
133 - 2019-02-12869Spiders2Chiefs8LBoxScore
135 - 2019-02-14883Spiders3Baby Hawks4LBoxScore
136 - 2019-02-15890Spiders3Minnesota2WBoxScore
138 - 2019-02-17906Crunch5Spiders6WXBoxScore
140 - 2019-02-19917Manchots3Spiders4WBoxScore
142 - 2019-02-21931Senators3Spiders5WBoxScore
144 - 2019-02-23946Spiders8Wolf Pack5WBoxScore
146 - 2019-02-25963Rocket2Spiders7WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
148 - 2019-02-27980Heat4Spiders5WXXBoxScore
150 - 2019-03-01992Phantoms2Spiders3WBoxScore
151 - 2019-03-021001Spiders5Bruins4WXBoxScore
154 - 2019-03-051020Monsters3Spiders5WBoxScore
157 - 2019-03-081045Spiders5Bears6LBoxScore
158 - 2019-03-091054Spiders5Wolf Pack4WXBoxScore
161 - 2019-03-121078Spiders4Heat2WBoxScore
162 - 2019-03-131081Spiders2Oil Kings3LXXBoxScore
164 - 2019-03-151098Spiders4Comets5LXBoxScore
166 - 2019-03-171111Spiders6Monsters5WXXBoxScore
168 - 2019-03-191122Bears5Spiders7WBoxScore
170 - 2019-03-211137Bruins1Spiders4WBoxScore
172 - 2019-03-231150Jayhawks4Spiders3LBoxScore
174 - 2019-03-251170Crunch4Spiders3LBoxScore
178 - 2019-03-291199Spiders4Cougars5LXXBoxScore
179 - 2019-03-301208Chiefs3Spiders2LBoxScore
181 - 2019-04-011222Wolf Pack2Spiders4WBoxScore
184 - 2019-04-041247Spiders3Caroline2WXBoxScore
186 - 2019-04-061262Spiders9Cabaret Lady Mary Ann4WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3015
Attendance61,45530,891
Attendance PCT74.95%75.34%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2252 - 75.08% 56,269$2,307,015$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,012,812$ 2,935,000$ 2,919,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,695$ 3,012,812$ 39 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,695$ 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
2018824423062433702799141251201030195134614119110521317514530113370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554
Total Regular Season824423062433702799141251201030195134614119110521317514530113370618988021581228016289395196794464239767684015963447321.22%3377378.34%31447268253.95%1313238255.12%793148353.47%2033140418486061084554