Jayhawks

GM : Yves Létourneau Morale : 60 Team Overall : 46
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# 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
1Blake Pietila (R) (A)XX100.00533587706853355335485870483532083560
2Frank VatranoXXX100.00583586806853415435446357483532083560
3Trevor SmithXX100.00583588666755554583424767474440080540
4Joonas KemppainenX100.00543592637854424582434670483532076530
5Nikita SoshnikovXX100.00503582755858364335414469563532082520
6Oliver Bjorkstrand (A)X100.00463595715458364535424867453532083520
7Connor Brown (C)X100.00473595715657354335434267483532083510
8Noel AcciariX100.00553584747151373944423564483532083510
9Evan RodriguesXXX100.00473595775253354035384260483532052490
10Taylor LeierX100.00473595745148353535353569483532078480
11Nic Dowd (R)X100.00513585725355353542353559483532083470
12Sean Kuraly (R)X100.00373737376437373737373737373230064400
13Zach TrotmanX100.00683583617271444835464975484136056590
14Greg PaterynX100.00814369637565464335454168484137067580
15Fredrik Claesson (R)X100.00573591626757363835433271483532082540
16Petteri LindbohmX100.00614375626556363935354364483532083530
17Mike ReillyX100.00483587676248384635484364483532059530
18Rob O'Gara (R)X100.00373737376037373737373737373230039400
Scratches
1Luke AdamXX100.00503576687251344339394660444540020500
2Tomas NosekXX100.00523586667351353560353565483532020480
3Dominik Simon (R)XXX100.00473595735346353735383562483532020470
4Joe WhitneyX100.00483594764746333735334061473734020470
5Yanni GourdeX100.00503573784748353735383560483532020470
6Antoine Laganiere (R)X100.00454545456945454545454545453230020460
7Bogdan YakimovX100.00463594618449333349333362473532020460
8Markus HannikainenX100.00483595686348353535353557483532020460
9Vincent Hinostroza (R)X100.00463575764349353544353561483532019460
10Andrei LoktionovX100.00326257566133583335333361474541020450
11Tyler Bertuzzi (R)X100.00454545455445454545454545453230020450
12Anton Karlsson (R)XX100.00434343436043434343434343433230020440
13Juho Lammikko (R)XX100.00434343436343434343434343433230020440
14Kaspars DaugavinsX100.00327446497333503335333351474337020420
15Ryan Fitzgerald (R)X100.00404040404940404040404040403230013410
16Yaroslav Kosov (R)X100.00373737377737373737373737373230020400
17Axel Holmstrom (R)X100.00373737376837373737373737373230020390
18Graham Black (R)X100.00373737375137373737373737373230020390
19Oskar Lindblom (R)X100.00373737376437373737373737373230020390
20Alex Broadhurst (R)X100.00373737373937373737373737373230020380
21Matthew Peca (R)X100.00373737374137373737373737373230020380
22Miro Aaltonen (R)X100.00373737375037373737373737373230020380
23Spencer Watson (R)X100.00373737374937373737373737373230020380
24Michael Paliotta (R)X100.00503541626948354235513266483532020520
25Vojtech MozikX100.00553581616650353135303269483532020510
26Gavin Bayreuther (R)X100.00454545456345454545454545453230020450
27Mathew Bodie (R)X100.00454545455345454545454545453230020450
28Louis Belpedio (R)X100.00434343436143434343434343433230020440
29Sebastian Aho (R)X100.00454545454745454545454545453230020440
30Taylor Aronson (R)X100.00434343436343434343434343433230020440
31Jake Walman (R)X100.00434343435043434343434343433230020430
32Mark Friedman (R)X100.00434343435743434343434343433230020430
33Jani Hakanpaa (R)X100.00404040407040404040404040403230020420
34Jan Kostalek (R)X100.00404040405640404040404040403230020410
35Robin Norell (R)X100.00404040406040404040404040403230020410
36Vladislav Gavrikov (R)X100.00373737376837373737373737373230020400
TEAM AVERAGE100.0046396255614639404140405344353203846
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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
1Magnus Hellberg100.0045454576454545454565703532075490
2Pheonix Copley100.0045454574454545454565703532083490
Scratches
1Igor Bobkov (R)100.0043434392434343434343433230020470
2Alex Nedeljkovic (R)100.0045454568454545454545453230020460
3Oscar Dansk (R)100.0045454568454545454545453230020460
4Elvis Merzlikins (R)100.0043434369434343434343433230020440
5Fredrik Bergvik (R)100.0040404069404040404040403230020420
6Marek Langhamer (R)100.0037373766373737373737373230020400
TEAM AVERAGE100.004343437343434343434849333103545
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Steve Spott60486266636461CAN472500,000$


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
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# 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
1Frank VatranoJayhawks (KC )C/LW/RW79304070224001041062170013.82%4105213.326814321110002363144.03%62000001.3300000456
2Connor BrownJayhawks (KC )RW82254065-580471151950012.82%13147517.99922317233310182445148.36%12200010.8824000244
3Zach TrotmanJayhawks (KC )D67204464258078761420014.08%47138620.7011162785297011060200.00%000000.9200000252
4Trevor SmithJayhawks (KC )C/LW8227356213500114911720015.70%16123815.1089174218720221266266.44%43200001.0022000643
5Nikita SoshnikovJayhawks (KC )LW/RW79134053-1747592127196006.63%9127116.1042327543290002822253.41%8800000.8300000104
6Oliver BjorkstrandJayhawks (KC )RW82272451-194036951870014.44%12127115.507142167336000092234.62%7800010.8017000333
7Mike ReillyJayhawks (KC )D79838460260367193008.60%61160520.3251318532870001187100.00%000000.5700000011
8Blake PietilaJayhawks (KC )LW/RW602222442616044651420015.49%1774412.411127190002362254.35%4600001.1800000421
9Noel AcciariJayhawks (KC )C811033431620089127110009.09%16128815.9029112817410131361050.99%135700000.6737000120
10Fredrik ClaessonJayhawks (KC )D8273239-4395438471009.86%115162819.86156271430221206200.00%000000.4800000113
11Greg PaterynJayhawks (KC )D7410283811673520448540018.52%77133518.0524621830110150500.00%000000.5700214123
12Joonas KemppainenJayhawks (KC )C591820383235461051300013.85%584014.254711331320002524170.93%98400000.9000001331
13Petteri LindbohmJayhawks (KC )D8213243710983014046860015.12%94161019.648614462870002197110.00%000100.4600114411
14Nic DowdJayhawks (KC )C7391625-220085120700012.86%11118516.2437101618500031881046.51%147700000.4213000100
15Evan RodriguesJayhawks (KC )C/LW/RW49111425-318102750920011.96%873615.02661229194000001248.57%3500000.6800010131
16Taylor LeierJayhawks (KC )LW6441317-14215268180005.00%1172511.3300001000000138.10%4200000.4700100001
17Ryan FitzgeraldJayhawks (KC )C44448-101202514150026.67%63277.431122280110570027.72%10100000.4900000002
18Michael PaliottaJayhawks (KC )D140661426019109000.00%1126318.84000538000040000.00%000000.4600000010
19Markus HannikainenJayhawks (KC )LW19156-70031619005.26%224713.03000060001180036.84%1900000.4813000000
20Sean KuralyJayhawks (KC )C51123-214515714711009.09%057811.3500000000011046.08%59900000.1000102000
21Rob O'GaraJayhawks (KC )D28022-51804701000.00%146916.77000114000021000.00%000000.0900000000
22Vincent HinostrozaJayhawks (KC )C5011-1202610000.00%15711.4200000000010037.50%2400000.3500000000
Team Total or Average1335260483743-17581101378150021020012.37%5372134015.99781512296203193459291857391552.26%602400120.7010265311343736
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1Pheonix CopleyJayhawks (KC )81453240.8733.2148456225920350320.60728802132
2Magnus HellbergJayhawks (KC )31000.8543.56118007480000.0000280000
Team Total or Average84463240.8723.2249636226620830320.607288282132


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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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Alex BroadhurstJayhawks (KC )C221993-03-07Yes150 Lbs5 ft10NoNo4RFAPro & Farm660,000$660,000$660,000$660,000$Link
Alex NedeljkovicJayhawks (KC )G191996-01-07Yes190 Lbs5 ft11NoNo4ELCPro & Farm792,000$792,000$792,000$792,000$Link
Andrei LoktionovJayhawks (KC )C251990-05-30No190 Lbs5 ft11YesNo5RFAPro & Farm541,722$541,722$541,722$541,722$541,722$Link
Antoine LaganiereJayhawks (KC )C251990-07-05Yes196 Lbs6 ft4NoNo4RFAPro & Farm825,000$825,000$825,000$825,000$Link
Anton KarlssonJayhawks (KC )LW/RW191996-08-03Yes187 Lbs6 ft1NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Axel HolmstromJayhawks (KC )C191996-06-29Yes198 Lbs6 ft0NoNo4ELCPro & Farm667,000$667,000$667,000$667,000$Link
Blake PietilaJayhawks (KC )LW/RW221993-02-20Yes200 Lbs5 ft11NoNo4RFAPro & Farm650,000$650,000$650,000$650,000$Link
Bogdan YakimovJayhawks (KC )C211994-10-04No232 Lbs6 ft5NoNo3ELCPro & Farm792,000$792,000$792,000$Link
Connor BrownJayhawks (KC )RW211994-01-14No183 Lbs5 ft11NoNo4ELCPro & Farm718,000$718,000$718,000$718,000$Link
Dominik SimonJayhawks (KC )C/LW/RW211994-08-08Yes176 Lbs5 ft11NoNo4ELCPro & Farm667,000$667,000$667,000$667,000$Link
Elvis MerzlikinsJayhawks (KC )G211994-04-13Yes187 Lbs6 ft3NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Evan RodriguesJayhawks (KC )C/LW/RW221993-07-28No174 Lbs5 ft11NoNo4RFAPro & Farm843,000$843,000$843,000$843,000$Link
Frank VatranoJayhawks (KC )C/LW/RW211994-03-14No201 Lbs5 ft9NoNo4ELCPro & Farm743,000$743,000$743,000$743,000$Link
Fredrik BergvikJayhawks (KC )G201995-02-14Yes189 Lbs6 ft1NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Fredrik ClaessonJayhawks (KC )D221992-11-24Yes205 Lbs6 ft1NoNo4RFAPro & Farm600,000$600,000$600,000$600,000$Link
Gavin BayreutherJayhawks (KC )D211994-05-12Yes195 Lbs6 ft1NoNo4ELCPro & Farm825,000$825,000$825,000$825,000$Link
Graham BlackJayhawks (KC )C221993-01-13Yes173 Lbs5 ft11NoNo4RFAPro & Farm650,000$650,000$650,000$650,000$Link
Greg PaterynJayhawks (KC )D251990-06-20No223 Lbs6 ft2NoNo1RFAPro & Farm637,000$Link
Igor BobkovJayhawks (KC )G241991-01-02Yes235 Lbs6 ft5NoNo4RFAPro & Farm700,000$700,000$700,000$700,000$Link
Jake WalmanJayhawks (KC )D191996-02-20Yes170 Lbs6 ft0NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Jan KostalekJayhawks (KC )D201995-02-17Yes181 Lbs6 ft0NoNo4ELCPro & Farm660,000$660,000$660,000$660,000$Link
Jani HakanpaaJayhawks (KC )D231992-05-31Yes211 Lbs6 ft4NoNo4RFAPro & Farm650,000$650,000$650,000$650,000$Link
Joe WhitneyJayhawks (KC )LW271988-02-06No170 Lbs5 ft6NoNo2RFAPro & Farm515,000$515,000$Link
Joonas KemppainenJayhawks (KC )C271988-04-07No223 Lbs6 ft3NoNo4RFAPro & Farm792,000$792,000$792,000$792,000$Link
Juho LammikkoJayhawks (KC )LW/RW191996-01-29Yes189 Lbs6 ft2NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Kaspars DaugavinsJayhawks (KC )LW271988-05-18No213 Lbs6 ft0YesNo4RFAPro & Farm752,000$752,000$752,000$752,000$Link
Louis BelpedioJayhawks (KC )D191996-05-14Yes193 Lbs5 ft10NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Luke AdamJayhawks (KC )C/LW251990-06-18No206 Lbs6 ft2NoNo1RFAPro & Farm800,000$Link
Magnus HellbergJayhawks (KC )G241991-04-04No200 Lbs6 ft5NoNo2RFAPro & Farm818,000$818,000$Link
Marek LanghamerJayhawks (KC )G211994-07-22Yes181 Lbs6 ft1NoNo4ELCPro & Farm648,000$648,000$648,000$648,000$Link
Mark FriedmanJayhawks (KC )D191995-12-25Yes185 Lbs5 ft10NoNo4ELCPro & Farm700,000$700,000$700,000$700,000$Link
Markus HannikainenJayhawks (KC )LW221993-03-26No189 Lbs6 ft2NoNo4RFAPro & Farm693,000$693,000$693,000$693,000$Link
Mathew BodieJayhawks (KC )D251990-03-07Yes175 Lbs6 ft0NoNo4RFAPro & Farm825,000$825,000$825,000$825,000$Link
Matthew PecaJayhawks (KC )C221993-04-27Yes155 Lbs5 ft8NoNo4RFAPro & Farm667,000$667,000$667,000$667,000$Link
Michael PaliottaJayhawks (KC )D221993-04-06Yes207 Lbs6 ft3NoNo3RFAPro & Farm925,000$925,000$925,000$Link
Mike ReillyJayhawks (KC )D221993-07-13No191 Lbs6 ft2NoNo4RFAPro & Farm925,000$925,000$925,000$925,000$Link
Miro AaltonenJayhawks (KC )C221993-06-07Yes172 Lbs5 ft10NoNo4RFAPro & Farm525,000$525,000$525,000$525,000$Link
Nic DowdJayhawks (KC )C251990-05-27Yes175 Lbs6 ft1NoNo3RFAPro & Farm600,000$600,000$600,000$Link
Nikita SoshnikovJayhawks (KC )LW/RW211993-10-14No186 Lbs5 ft11NoNo4ELCPro & Farm667,000$667,000$667,000$667,000$Link
Noel AcciariJayhawks (KC )C231991-12-01No208 Lbs5 ft10YesNo5RFAPro & Farm860,011$860,011$860,011$860,011$860,011$Link
Oliver BjorkstrandJayhawks (KC )RW201995-04-10No177 Lbs6 ft0NoNo4ELCPro & Farm642,000$642,000$642,000$642,000$Link
Oscar DanskJayhawks (KC )G211994-02-28Yes187 Lbs6 ft2NoNo4ELCPro & Farm792,000$792,000$792,000$792,000$Link
Oskar LindblomJayhawks (KC )LW191996-08-15Yes191 Lbs6 ft1NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Petteri LindbohmJayhawks (KC )D221993-09-23No198 Lbs6 ft3NoNo3RFAPro & Farm620,000$620,000$620,000$Link
Pheonix CopleyJayhawks (KC )G231992-01-18No196 Lbs6 ft4NoNo4RFAPro & Farm767,000$767,000$767,000$767,000$Link
Rob O'GaraJayhawks (KC )D221993-07-06Yes185 Lbs6 ft3NoNo4RFAPro & Farm525,000$525,000$525,000$525,000$Link
Robin NorellJayhawks (KC )D201995-02-18Yes189 Lbs5 ft11NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Ryan FitzgeraldJayhawks (KC )C201994-10-19Yes170 Lbs5 ft9NoNo4ELCPro & Farm650,000$650,000$650,000$650,000$Link
Sean KuralyJayhawks (KC )C221993-01-20Yes190 Lbs6 ft2NoNo4RFAPro & Farm525,000$525,000$525,000$525,000$Link
Sebastian AhoJayhawks (KC )D191996-02-17Yes165 Lbs5 ft10NoNo4ELCPro & Farm825,000$825,000$825,000$825,000$Link
Spencer WatsonJayhawks (KC )RW201995-04-25Yes170 Lbs5 ft9NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Taylor AronsonJayhawks (KC )D231991-12-30Yes196 Lbs6 ft0NoNo4RFAPro & Farm605,000$605,000$605,000$605,000$Link
Taylor LeierJayhawks (KC )LW211994-02-15No174 Lbs5 ft10NoNo4ELCPro & Farm810,000$810,000$810,000$810,000$Link
Tomas NosekJayhawks (KC )C/LW231992-09-01No210 Lbs6 ft3NoNo4RFAPro & Farm792,000$792,000$792,000$792,000$Link
Trevor SmithJayhawks (KC )C/LW301985-02-08No195 Lbs6 ft1NoNo1UFAPro & Farm500,000$Link
Tyler BertuzziJayhawks (KC )LW201995-02-24Yes178 Lbs6 ft0NoNo4ELCPro & Farm642,000$642,000$642,000$642,000$Link
Vincent HinostrozaJayhawks (KC )C211994-04-03Yes158 Lbs5 ft9NoNo4ELCPro & Farm667,000$667,000$667,000$667,000$Link
Vladislav GavrikovJayhawks (KC )D191995-11-21Yes205 Lbs6 ft2NoNo4ELCPro & Farm525,000$525,000$525,000$525,000$Link
Vojtech MozikJayhawks (KC )D221992-12-26No200 Lbs6 ft3NoNo4RFAPro & Farm667,000$667,000$667,000$667,000$Link
Yanni GourdeJayhawks (KC )LW231991-12-15No167 Lbs5 ft9NoNo4RFAPro & Farm600,000$600,000$600,000$600,000$Link
Yaroslav KosovJayhawks (KC )RW221993-07-05Yes220 Lbs6 ft3NoNo4RFAPro & Farm525,000$525,000$525,000$525,000$Link
Zach TrotmanJayhawks (KC )D251990-08-26No217 Lbs6 ft3NoNo2RFAPro & Farm690,000$690,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
6221.98190 Lbs6 ft03.73686,318$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita SoshnikovNic DowdConnor Brown25131
2Blake PietilaNoel AcciariFrank Vatrano25131
3Taylor LeierSean KuralyOliver Bjorkstrand25131
4Trevor SmithJoonas KemppainenEvan Rodrigues25131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Fredrik ClaessonRob O'Gara30131
2Zach TrotmanGreg Pateryn30131
3Mike ReillyPetteri Lindbohm30131
4Mike ReillyRob O'Gara10131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nikita SoshnikovJoonas KemppainenOliver Bjorkstrand50014
2Evan RodriguesNic DowdConnor Brown50014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zach TrotmanFredrik Claesson60014
2Mike ReillyPetteri Lindbohm40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Nic DowdConnor Brown60041
2Noel AcciariNikita Soshnikov40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Fredrik ClaessonMike Reilly60041
2Greg PaterynPetteri Lindbohm40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Nic Dowd60122Greg PaterynMike Reilly60122
2Noel Acciari40122Fredrik ClaessonPetteri Lindbohm40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Noel AcciariConnor Brown60131
2Joonas KemppainenOliver Bjorkstrand40131
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Petteri LindbohmMike Reilly60131
2Greg PaterynFredrik Claesson40131
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nikita SoshnikovFrank VatranoConnor BrownPetteri LindbohmMike Reilly
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nikita SoshnikovNoel AcciariOliver BjorkstrandGreg PaterynMike Reilly
Extra Forwards
Normal PowerPlayPenalty Kill
Noel Acciari, Trevor Smith, Nic DowdNoel Acciari, Trevor SmithNic Dowd
Extra Defensemen
Normal PowerPlayPenalty Kill
Mike Reilly, Petteri Lindbohm, Greg PaterynMike ReillyPetteri Lindbohm, Greg Pateryn
Penalty Shots
Noel Acciari, Oliver Bjorkstrand, Trevor Smith, Connor Brown, Nic Dowd
Goalie
#1 : Pheonix Copley, #2 : Magnus Hellberg


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
Admirals31101000141312100100012841010000025-340.6671422360010992961684750759866519432325515213.33%16381.25%21456263455.28%1163224551.80%737145350.72%2132146517366191103578
Falcons22000000853110000003211100000053241.00081321001099296167475075986651421116351715.88%70100.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Bruins21001000633100010003211100000031241.0006111700109929616447507598665146112341500.00%80100.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Crunch22000000954110000005321100000042241.000917260010992961668750759866514819223017423.53%60100.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Heat31200000910-1110000005322020000047-320.333914231010992961673750759866519130336014535.71%16381.25%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Phantoms21100000862110000005231010000034-120.500814220010992961648750759866514819284213323.08%8187.50%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Baby Hawks523000001519-421100000550312000001014-440.400152742001099296161307507598665115143559226415.38%20480.00%11456263455.28%1163224551.80%737145350.72%2132146517366191103578
Monsters522010001919031101000131122110000068-260.6001932510010992961614575075986651139283910037718.92%12558.33%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Cougars210010001284100010006511100000063341.000122133001099296165475075986651398194010440.00%7271.43%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Oil Kings3110100089-1100010002112110000068-240.6678162400109929616103750759866517924274722418.18%11372.73%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Sound Tigers20200000510-51010000026-41010000034-100.0005914001099296164075075986651541624710220.00%10100.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Monarchs3100000212120210000018711000000145-140.6671221330010992961667750759866517623365519421.05%18572.22%11456263455.28%1163224551.80%737145350.72%2132146517366191103578
Minnesota541000002512133300000016792110000095480.800254671101099296161997507598665112328419222313.64%17570.59%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Spiders211000009811010000045-11100000053220.500916250010992961658750759866515015152819526.32%4325.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Senators2010001056-1100000103211010000024-220.5005813001099296164575075986651461224386116.67%7357.14%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Manchots2020000058-31010000024-21010000034-100.0005914001099296166175075986651441112341119.09%6350.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Wolf Pack220000001156110000006241100000053241.0001117280010992961676750759866516321164212650.00%80100.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Sharks303000001013-32020000079-21010000034-100.000101626001099296167575075986651592226521218.33%12466.67%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Chiefs41200001913-4210000016512020000038-530.375916250010992961682750759866519634535913215.38%18194.44%11456263455.28%1163224551.80%737145350.72%2132146517366191103578
Thunder2020000059-41010000046-21010000013-200.0005101500109929616757507598665144101927900.00%7185.71%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Marlies22000000963110000005411100000042241.00091726001099296165675075986651408314311327.27%7271.43%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Comets3120000010100110000005142020000059-420.33310203000109929616110750759866516222325216637.50%10370.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Cabaret Lady Mary Ann211000008531010000023-11100000062420.500814220010992961664750759866515319125211218.18%6183.33%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
IceCaps55000000211110220000001055330000001165101.000213758001099296161617507598665111138439724833.33%18383.33%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Chill30200010811-32010001068-21010000023-120.33381422001099296167475075986651871933571000.00%8187.50%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Rocket20100001813-51000000145-11010000048-410.250815230010992961640750759866517940323010220.00%9188.89%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Bears21000010743110000004221000001032141.0007121900109929616427507598665134820298225.00%90100.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Caroline211000006511010000025-31100000040420.500612180110992961671750759866516012203111327.27%10370.00%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Las Vegas5310100025141121001000118332100000146880.800254469011099296161807507598665112734659935925.71%21290.48%01456263455.28%1163224551.80%737145350.72%2132146517366191103578
Vs Conference452217040021721482421114040028766212411130000085823540.6001723114832210992961613757507598665111873494818272555822.75%1703579.41%21456263455.28%1163224551.80%737145350.72%2132146517366191103578
Since Last GM Reset82373206034306272344119110602316613630411821000111401364960.58530654084622109929616239975075986651208561782615064459421.12%3076279.80%51456263455.28%1163224551.80%737145350.72%2132146517366191103578
Total82373206034306272344119110602316613630411821000111401364960.58530654084622109929616239975075986651208561782615064459421.12%3076279.80%51456263455.28%1163224551.80%737145350.72%2132146517366191103578

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8296OTW230654084623992085617826150622
All Games
GPWLOTWOTL SOWSOLGFGA
8237326034306272
Home Games
GPWLOTWOTL SOWSOLGFGA
4119116023166136
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4118210011140136
Last 10 Games
WLOTWOTL SOWSOL
342010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4459421.12%3076279.80%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
75075986651109929616
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1456263455.28%1163224551.80%737145350.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2132146517366191103578


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
2 - 2016-10-139Admirals5Jayhawks6WXBoxScore
4 - 2016-10-1528Jayhawks3Monsters2WBoxScore
7 - 2016-10-1844Jayhawks4Las Vegas1WBoxScore
9 - 2016-10-2058Monarchs3Jayhawks5WBoxScore
11 - 2016-10-2271Falcons2Jayhawks3WBoxScore
14 - 2016-10-2590IceCaps3Jayhawks5WBoxScore
16 - 2016-10-27104Jayhawks2IceCaps1WBoxScore
18 - 2016-10-29117Jayhawks8Minnesota2WBoxScore
21 - 2016-11-01141Jayhawks5Falcons3WBoxScore
23 - 2016-11-03146Chiefs2Jayhawks4WBoxScore
25 - 2016-11-05171Baby Hawks3Jayhawks2LBoxScore
26 - 2016-11-06178Jayhawks4Baby Hawks5LBoxScore
28 - 2016-11-08191Jayhawks3IceCaps2WBoxScore
30 - 2016-11-10201Jayhawks2Heat3LBoxScore
31 - 2016-11-11211Jayhawks2Oil Kings6LBoxScore
33 - 2016-11-13224Jayhawks3Comets5LBoxScore
35 - 2016-11-15236Spiders5Jayhawks4LBoxScore
37 - 2016-11-17249Monsters4Jayhawks6WBoxScore
39 - 2016-11-19260Oil Kings1Jayhawks2WXBoxScore
41 - 2016-11-21280Minnesota2Jayhawks6WBoxScore
43 - 2016-11-23295Jayhawks7Las Vegas0WBoxScore
45 - 2016-11-25307Comets1Jayhawks5WBoxScore
48 - 2016-11-28329Jayhawks1Chiefs2LBoxScore
49 - 2016-11-29334Jayhawks6Cougars3WBoxScore
51 - 2016-12-01347Jayhawks3Manchots4LBoxScore
53 - 2016-12-03364Jayhawks3Monsters6LBoxScore
56 - 2016-12-06388Heat3Jayhawks5WBoxScore
58 - 2016-12-08402Las Vegas4Jayhawks6WBoxScore
60 - 2016-12-10417Jayhawks3Phantoms4LBoxScore
61 - 2016-12-11427Jayhawks5Baby Hawks3WBoxScore
63 - 2016-12-13435Admirals3Jayhawks6WBoxScore
65 - 2016-12-15452Wolf Pack2Jayhawks6WBoxScore
67 - 2016-12-17460Phantoms2Jayhawks5WBoxScore
70 - 2016-12-20490Chiefs3Jayhawks2LXXBoxScore
73 - 2016-12-23505Monarchs4Jayhawks3LXXBoxScore
77 - 2016-12-27525Jayhawks2Chill3LBoxScore
79 - 2016-12-29540Monsters3Jayhawks2LBoxScore
81 - 2016-12-31558Cabaret Lady Mary Ann3Jayhawks2LBoxScore
85 - 2017-01-04577Rocket5Jayhawks4LXXBoxScore
88 - 2017-01-07596Jayhawks2Chiefs6LBoxScore
90 - 2017-01-09612Jayhawks4Monarchs5LXXBoxScore
91 - 2017-01-10618Jayhawks2Admirals5LBoxScore
93 - 2017-01-12629Cougars5Jayhawks6WXBoxScore
95 - 2017-01-14648Minnesota4Jayhawks6WBoxScore
97 - 2017-01-16657Jayhawks4Crunch2WBoxScore
98 - 2017-01-17663Jayhawks5Wolf Pack3WBoxScore
100 - 2017-01-19677Jayhawks3Sound Tigers4LBoxScore
102 - 2017-01-21696Bears2Jayhawks4WBoxScore
105 - 2017-01-24723Minnesota1Jayhawks4WBoxScore
107 - 2017-01-26735Crunch3Jayhawks5WBoxScore
112 - 2017-01-31741Marlies4Jayhawks5WBoxScore
114 - 2017-02-02763IceCaps2Jayhawks5WBoxScore
116 - 2017-02-04781Baby Hawks2Jayhawks3WBoxScore
119 - 2017-02-07794Jayhawks4Marlies2WBoxScore
121 - 2017-02-09802Jayhawks2Senators4LBoxScore
123 - 2017-02-11819Caroline5Jayhawks2LBoxScore
124 - 2017-02-12831Jayhawks3Las Vegas5LBoxScore
126 - 2017-02-14841Jayhawks6IceCaps3WBoxScore
128 - 2017-02-16851Jayhawks1Minnesota3LBoxScore
130 - 2017-02-18864Thunder6Jayhawks4LBoxScore
136 - 2017-02-24903Chill4Jayhawks1LBoxScore
138 - 2017-02-26912Bruins2Jayhawks3WXBoxScore
140 - 2017-02-28933Manchots4Jayhawks2LBoxScore
142 - 2017-03-02943Sound Tigers6Jayhawks2LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
144 - 2017-03-04955Jayhawks6Cabaret Lady Mary Ann2WBoxScore
146 - 2017-03-06969Jayhawks3Bears2WXXBoxScore
148 - 2017-03-08983Senators2Jayhawks3WXXBoxScore
152 - 2017-03-121015Jayhawks3Sharks4LBoxScore
154 - 2017-03-141026Jayhawks4Oil Kings2WBoxScore
156 - 2017-03-161047Jayhawks2Comets4LBoxScore
157 - 2017-03-171051Jayhawks2Heat4LBoxScore
160 - 2017-03-201073Sharks4Jayhawks3LBoxScore
163 - 2017-03-231098Jayhawks1Baby Hawks6LBoxScore
164 - 2017-03-241103Sharks5Jayhawks4LBoxScore
166 - 2017-03-261118Jayhawks5Spiders3WBoxScore
168 - 2017-03-281132Jayhawks4Rocket8LBoxScore
170 - 2017-03-301146Jayhawks3Bruins1WBoxScore
172 - 2017-04-011162Jayhawks4Caroline0WBoxScore
173 - 2017-04-021168Jayhawks1Thunder3LBoxScore
175 - 2017-04-041182Chill4Jayhawks5WXXBoxScore
177 - 2017-04-061203Las Vegas4Jayhawks5WXBoxScore
179 - 2017-04-081216Monsters4Jayhawks5WXBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price5020
Attendance6201431586
Attendance PCT75.63%77.04%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2283 - 76.10% 91,035$3,732,420$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
4,255,173$ 4,255,173$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
5,428,071$ 23,509$ 4,925,278$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 26,272$ 0$




OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
Regular Season
2016823732060343062723441191106023166136304118210001114013647430654084622109929616239975075986651208561782615064459421.12%3076279.80%51456263455.28%1163224551.80%737145350.72%2132146517366191103578
Total Regular Season823732060343062723441191106023166136304118210001114013647430654084622109929616239975075986651208561782615064459421.12%3076279.80%51456263455.28%1163224551.80%737145350.72%2132146517366191103578