Jayhawks

GP: 82 | W: 59 | L: 13 | OTL: 10 | P: 128
GF: 357 | GA: 230 | PP%: 25.47% | PK%: 80.91%
GM : Yves Létourneau | Morale : 50 | Team Overall : 45
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
1Maxim Mamin (R)XX100.00584387656552374935415659483532050520
2Matthew Highmore (R)XX100.00493595775553364035354461483532050500
3Dryden Hunt (R)X100.00533589676752363735383557483532050480
4Kalle Kossila (R)XXX100.00483595695753354050384254483734050480
5Nathan Walker (R)X100.00513579705750353935354257483532050480
6Tomas Hyka (R)XX100.00443595724553354135404255483532050480
7Dylan Sikura (R)XX100.00423595684455353835403559483532050470
8Travis BoydX100.00453588685750353752383558483532050470
9Justin Kloos (R)XX100.00493555705449353535353554483532050460
10Danick MartelX100.00493595714451353535353559483532050460
11Trevor Moore (R)X100.00454545455245454545454545453230050450
12Troy TerryXX100.00443595625351353535353550483532050440
13Tim HeedX100.0049358775585938523553516453373405056X0
14Paul LaDue (R)X100.00513585686561375435505765483734050560
15Joakim Ryan (R)X100.00523591685754484335434373483532050550
16Sami NikuX100.00473595715452353535303958483532050500
17Gavin Bayreuther (R)X100.00414545456339394145414145433230050440
18Devon Toews (R)X100.00404040406240404040404040403230050420
Scratches
1Kyle Criscuolo (R)XX100.00493584744849353546353563483532050470
2Giovanni Fiore (R)XX100.00483595656648353535353551483532050460
3Henrik Haapala (R)XX100.00443595674655353735383553483532050460
4Sheldon Rempal (R)XX100.0045454545454545454545454545454501450
5Joseph Gambardella (R)X100.0045454545454545454545454545454501450
6Adam Johnson (R)XX100.0045454545454545454545454545454501450
7Kole Sherwood (R)X100.0045454545454545454545454545454501450
8Julius Nattinen (R)X100.00434545456642424345434345443230050450
9Shane GersichXX100.00423595635250353735383552483532050450
10Sam Anas (R)XX100.00454545454145454545454545453230050440
11Otto Koivula (R)XX100.00404040407740404040404040403230050420
12Ross Colton (R)X100.00404040406940404040404040403230050420
13Jonne Tammela (R)XX100.00404040405740404040404040403230050410
14Michael Bunting (R)X100.00384040406337373840383840393230050410
15Michael Spacek (R)X100.00384040406137373840383840393230050410
16Emil Pettersson (R)X100.00373737375437373737373737373230050390
17Ryan Fitzgerald (R)XX100.00364040404935353640363640383230050390
18David Cotton (R)X100.00353737377135353537353537363230050390
19Axel Holmstrom (R)X100.00333737376833333337333337353230050380
20Mason Appleton (R)XX100.0037373737373737373737373737373701380
21Victor Olofsson (R)XX100.00353737374835353537353537363230050380
22Joe HickettsX100.00473585725355353435363270483532050520
23Trevor Murphy (R)X100.00533595715451353735353966483532050520
24Tucker Poolman (R)X100.00533595626549374035364358483532050510
25Dante Fabbro (R)X100.00505050506250505050505050503230050490
26Daniel Brickley (R)X100.00463595606747353435353254483532050480
27Louie Belpedio (R)X100.00433595626253353435353252483532050480
28Jimmy Schuldt (R)X100.00454545456645454545454545453230050460
29Ethan Prow (R)X100.00454545455745454545454545453230050450
30Jack Ahcan (R)X100.00454545455545454545454545453230050450
31Jordan Gross (R)X100.00454545455345454545454545453230050450
32Lawrence Pilut (R)X100.0045454545454545454545454545454501450
33Linus Nassen (R)X100.00434343435543434343434343433230050440
34Vili Saarijarvi (R)X100.00414343434740404143414143423230050420
35Jake Walman (R)X100.00394343435037373943393943413230050410
36Vladislav Gavrikov (R)X100.00333737376833333337333337353230050390
37Jacob Middleton (R)X100.0037373737373737373737373737373701380
TEAM AVERAGE100.0044396353564639404040404944353304445
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
1Alex Nedeljkovic (R)100.0051454473514343514362603532050490
2Magnus Hellberg100.0047454480424852364362603734050490
Scratches
1Cam Johnson (R)100.0045454576454545454545453230050470
2Kevin Boyle (R)100.0045454573454545454545453230050460
3Vasili Demchenko (R)100.0045454559454545454545453230050450
4Elvis Merzlikins (R)100.0041434169403939393939383230050420
5Adam Huska (R)100.0037373778373737373737373230050410
6Jamie Phillips (R)100.0036373664363535353535353230050390
TEAM AVERAGE100.004343427243424342424646333105045
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Paul LaDueJayhawks (KC )D752751781844084721825512014.84%87157320.981115261062250110138810.00%000000.9900000463
2David KampfKansas CityC/RW7729457430380581642295814712.66%7117715.2991322501640001544467.10%115800011.2626000544
3Joakim RyanJayhawks (KC )D82155267355159192155521369.68%88162119.7761723862220222129110.00%000000.8300000343
4Maxim MaminJayhawks (KC )LW/RW82282149205420137802176615212.90%10124415.18411153013500021199239.02%20500000.7914202263
5Tim HeedJayhawks (KC )D381331441060304069234918.84%3179120.849142344103000075200.00%000001.1101000234
6Kalle KossilaJayhawks (KC )C/LW/RW59132942011536100110247211.82%10104717.75411153820500001182252.54%86600000.80410001212
7Kyle CriscuoloJayhawks (KC )C/RW671027371920107814099226710.10%1795014.1812375900001091148.70%115600000.7800002231
8Matthew HighmoreJayhawks (KC )LW/RW79162036-210049981543611310.39%10101312.831458460001403246.15%5200000.7104000135
9Dryden HuntJayhawks (KC )LW70142135133209153125308211.20%7107015.296713422161011260040.37%10900000.6504000222
10Dylan SikuraJayhawks (KC )C/LW7282533-21153011012333806.50%19104514.52178271330000690137.11%76800000.6318001103
11Tomas HykaJayhawks (KC )LW/RW59161531131952873106278715.09%378613.332248430111251339.34%6100010.7936001141
12Sami NikuJayhawks (KC )D65622282410033457025558.57%57127919.694711341730000109000.00%000000.4400000120
13Travis BoydJayhawks (KC )C519172622420299469163913.04%964312.62000020000221052.94%66300000.8100004001
14Joe HickettsJayhawks (KC )D3621113211202634447264.55%3462817.460222166011052000.00%000000.4100000000
15Tyler BertuzziKansas CityLW/RW9471146014624142016.67%014015.56011229000150040.00%1500001.5701000021
16Nathan WalkerJayhawks (KC )LW316511680263134143917.65%139412.7200005000030128.57%2100000.5600000010
17Tucker PoolmanJayhawks (KC )D33191010604311111059.09%2157817.54101212000046000.00%000000.3500000001
18Danick MartelJayhawks (KC )LW15268-540813176811.76%418012.0400000000000044.44%900000.8900000100
19Gavin BayreutherJayhawks (KC )D45156632059716596.25%2677617.26000236000058000.00%000000.1500000000
20Trevor MooreJayhawks (KC )LW27246-21554872081810.00%035613.19000280001180045.71%3500000.3400001000
21Justin KloosJayhawks (KC )C/RW1422411001818213149.52%317312.4200000000000033.33%600000.4600000000
22Brad RichardsonKansas CityC/LW21121001673614.29%02211.0600000000000081.48%2700001.8100000000
23Troy TerryJayhawks (KC )C/RW5022220321010.00%07214.43022014000000037.50%3200000.5500000000
24Trevor MurphyJayhawks (KC )D31121000220050.00%4248.240000000000000.00%000001.6200000001
25Devon ToewsJayhawks (KC )D14011-21602111110.00%823616.8800005000012000.00%000000.0800000000
Team Total or Average111022643065622344175104112991906538134611.86%4561782916.06591151745091913156101241321851.53%518300020.7411442012274135
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
1Oscar DanskKansas City4528870.8852.9526622113111400400.676344531111
2Aaron DellKansas City2625100.9281.72157124456220401.0003260301
3Alex NedeljkovicJayhawks (KC )115320.8583.9957100382680310.57171048000
Team Total or Average82581290.8952.67480545214203001110.682448179412


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
Adam HuskaJayhawks (KC )G201997-05-12Yes205 Lbs6 ft4NoNoNo4ELCPro & Farm525,000$52,500$0$NoLink
Adam JohnsonJayhawks (KC )C/LW231994-06-22 02:46:16Yes175 Lbs6 ft0NoNoNo4RFAPro & Farm925,000$92,500$0$No
Alex NedeljkovicJayhawks (KC )G211996-01-07Yes198 Lbs6 ft0NoNoNo2ELCPro & Farm792,000$79,200$0$NoLink
Axel HolmstromJayhawks (KC )C211996-06-29Yes198 Lbs6 ft0NoNoNo2ELCPro & Farm667,000$66,700$0$NoLink
Cam JohnsonJayhawks (KC )G231994-07-11Yes205 Lbs6 ft1NoNoNo4RFAPro & Farm825,000$82,500$0$NoLink
Danick MartelJayhawks (KC )LW221994-12-12No162 Lbs5 ft8NoNoNo3RFAPro & Farm825,000$82,500$0$NoLink
Daniel BrickleyJayhawks (KC )D221995-03-30Yes203 Lbs6 ft3NoNoNo4RFAPro & Farm825,000$82,500$0$NoLink
Dante FabbroJayhawks (KC )D191998-06-20Yes192 Lbs6 ft1NoNoNo4ELCPro & Farm895,000$89,500$0$NoLink
David CottonJayhawks (KC )C201997-07-09Yes204 Lbs6 ft3NoNoNo3ELCPro & Farm525,000$52,500$0$NoLink
Devon ToewsJayhawks (KC )D231994-02-21Yes191 Lbs6 ft1NoNoNo4RFAPro & Farm925,000$92,500$0$NoLink
Dryden HuntJayhawks (KC )LW211995-11-24Yes197 Lbs6 ft0NoNoNo4ELCPro & Farm817,500$81,750$0$NoLink
Dylan SikuraJayhawks (KC )C/LW221995-06-01Yes158 Lbs5 ft11NoNoNo4RFAPro & Farm925,000$92,500$0$NoLink
Elvis MerzlikinsJayhawks (KC )G231994-04-13Yes187 Lbs6 ft3NoNoNo2RFAPro & Farm700,000$70,000$0$NoLink
Emil PetterssonJayhawks (KC )C231994-01-14Yes176 Lbs6 ft1NoNoNo4RFAPro & Farm742,500$74,250$0$NoLink
Ethan ProwJayhawks (KC )D241992-11-17Yes185 Lbs5 ft11NoNoNo4RFAPro & Farm767,500$76,750$0$NoLink
Gavin BayreutherJayhawks (KC )D231994-05-12Yes195 Lbs6 ft1NoNoNo2RFAPro & Farm825,000$82,500$0$NoLink
Giovanni FioreJayhawks (KC )LW/RW211996-08-13Yes193 Lbs6 ft1YesNoNo6ELCPro & Farm1,500,000$150,000$0$NoLink
Henrik HaapalaJayhawks (KC )LW/RW231994-02-28Yes165 Lbs5 ft9NoNoNo4RFAPro & Farm925,000$92,500$0$NoLink
Jack AhcanJayhawks (KC )D201997-05-18Yes184 Lbs5 ft8NoNoNo4ELCPro & Farm825,000$82,500$0$NoLink
Jacob MiddletonJayhawks (KC )D211996-01-02 02:42:13Yes214 Lbs6 ft3NoNoNo4ELCPro & Farm735,000$73,500$0$No
Jake WalmanJayhawks (KC )D211996-02-20Yes170 Lbs6 ft0NoNoNo2ELCPro & Farm700,000$70,000$0$NoLink
Jamie PhillipsJayhawks (KC )G241993-03-24Yes175 Lbs6 ft3NoNoNo3RFAPro & Farm525,000$52,500$0$NoLink
Jimmy SchuldtJayhawks (KC )D221995-05-11Yes202 Lbs6 ft0NoNoNo4RFAPro & Farm825,000$82,500$0$NoLink
Joakim RyanJayhawks (KC )D241993-06-17Yes185 Lbs5 ft11NoNoNo4RFAPro & Farm650,000$65,000$0$NoLink
Joe HickettsJayhawks (KC )D211996-05-04No180 Lbs5 ft8NoNoNo3ELCPro & Farm825,000$82,500$0$NoLink
Jonne TammelaJayhawks (KC )LW/RW201997-08-05Yes186 Lbs5 ft10NoNoNo4ELCPro & Farm716,112$71,611$0$NoLink
Jordan GrossJayhawks (KC )D221995-05-09Yes177 Lbs5 ft10NoNoNo4RFAPro & Farm825,000$82,500$0$NoLink
Joseph GambardellaJayhawks (KC )LW231993-12-01 02:38:44Yes196 Lbs5 ft10NoNoNo4RFAPro & Farm450,000$45,000$0$No
Julius NattinenJayhawks (KC )C201997-01-14Yes192 Lbs6 ft2NoNoNo3ELCPro & Farm825,000$82,500$0$NoLink
Justin KloosJayhawks (KC )C/RW231993-11-30Yes180 Lbs5 ft9NoNoNo4RFAPro & Farm792,500$79,250$0$NoLink
Kalle KossilaJayhawks (KC )C/LW/RW241993-04-14Yes185 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$92,500$0$NoLink
Kevin BoyleJayhawks (KC )G251992-05-30Yes197 Lbs6 ft1NoNoNo4RFAPro & Farm675,000$67,500$0$NoLink
Kole SherwoodJayhawks (KC )RW201997-01-22 02:47:59Yes202 Lbs6 ft1NoNoNo4ELCPro & Farm693,333$69,333$0$No
Kyle CriscuoloJayhawks (KC )C/RW251992-05-05Yes170 Lbs5 ft8YesNoNo3RFAPro & Farm450,000$45,000$0$NoLink
Lawrence PilutJayhawks (KC )D211995-12-30 02:40:23Yes180 Lbs5 ft11NoNoNo4ELCPro & Farm925,000$92,500$0$No
Linus NassenJayhawks (KC )D191998-05-10Yes179 Lbs6 ft0NoNoNo4ELCPro & Farm700,000$70,000$0$NoLink
Louie BelpedioJayhawks (KC )D211996-05-14Yes193 Lbs5 ft11NoNoNo2ELCPro & Farm700,000$70,000$0$NoLink
Magnus HellbergJayhawks (KC )G261991-04-04No209 Lbs6 ft6NoNoNo1RFAPro & Farm690,000$69,000$0$NoLink
Mason AppletonJayhawks (KC )C/RW211996-01-15 02:44:10Yes193 Lbs6 ft2NoNoNo4ELCPro & Farm741,667$74,167$0$No
Matthew HighmoreJayhawks (KC )LW/RW211996-02-27Yes181 Lbs5 ft11NoNoNo4ELCPro & Farm742,500$74,250$0$NoLink
Maxim MaminJayhawks (KC )LW/RW221995-01-13Yes191 Lbs6 ft2NoNoNo4RFAPro & Farm732,500$73,250$0$NoLink
Michael BuntingJayhawks (KC )LW221995-09-17Yes191 Lbs6 ft0NoNoNo3RFAPro & Farm650,000$65,000$0$NoLink
Michael SpacekJayhawks (KC )C201997-04-09Yes190 Lbs5 ft11NoNoNo3ELCPro & Farm650,000$65,000$0$NoLink
Nathan WalkerJayhawks (KC )LW231994-02-07Yes186 Lbs5 ft9YesNoNo6RFAPro & Farm1,000,000$100,000$0$NoLink
Otto KoivulaJayhawks (KC )LW/RW191998-09-01Yes220 Lbs6 ft3NoNoNo4ELCPro & Farm650,000$65,000$0$NoLink
Paul LaDue (Out of Payroll)Jayhawks (KC )D251992-09-06Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm925,000$0$0$YesLink
Ross ColtonJayhawks (KC )C211996-09-11Yes201 Lbs5 ft11NoNoNo4ELCPro & Farm650,000$65,000$0$NoLink
Ryan FitzgeraldJayhawks (KC )C/RW221994-10-19Yes170 Lbs5 ft9NoNoNo2RFAPro & Farm650,000$65,000$0$NoLink
Sam AnasJayhawks (KC )C/RW241993-06-01Yes155 Lbs5 ft8NoNoNo4RFAPro & Farm792,500$79,250$0$NoLink
Sami NikuJayhawks (KC )D201996-10-10No176 Lbs6 ft1NoNoNo3ELCPro & Farm525,000$52,500$0$NoLink
Shane GersichJayhawks (KC )C/LW211996-07-10No175 Lbs5 ft11NoNoNo3ELCPro & Farm525,000$52,500$0$NoLink
Sheldon RempalJayhawks (KC )LW/RW221995-08-07 02:29:42Yes165 Lbs5 ft10NoNoNo4RFAPro & Farm925,000$92,500$0$No
Tim HeedJayhawks (KC )D261991-01-27No185 Lbs6 ft0NoYesNo2RFAPro & Farm775,000$77,500$0$NoLink
Tomas HykaJayhawks (KC )LW/RW241993-03-23Yes160 Lbs5 ft11NoNoNo4RFAPro & Farm710,000$71,000$0$NoLink
Travis BoydJayhawks (KC )C241993-09-14No185 Lbs5 ft11NoNoNo3RFAPro & Farm525,000$52,500$0$NoLink
Trevor MooreJayhawks (KC )LW221995-03-31Yes175 Lbs5 ft10NoNoNo4RFAPro & Farm925,000$92,500$0$NoLink
Trevor MurphyJayhawks (KC )D221995-07-17Yes180 Lbs5 ft10NoNoNo4RFAPro & Farm690,000$69,000$0$NoLink
Troy TerryJayhawks (KC )C/RW201997-09-10No175 Lbs6 ft1NoNoNo3ELCPro & Farm525,000$52,500$0$NoLink
Tucker PoolmanJayhawks (KC )D241993-06-08Yes199 Lbs6 ft2NoNoNo4RFAPro & Farm925,000$92,500$0$NoLink
Vasili DemchenkoJayhawks (KC )G231994-03-16Yes165 Lbs6 ft2NoNoNo4RFAPro & Farm825,000$82,500$0$NoLink
Victor OlofssonJayhawks (KC )LW/RW221995-07-18Yes168 Lbs5 ft10NoNoNo3RFAPro & Farm525,000$52,500$0$NoLink
Vili SaarijarviJayhawks (KC )D201997-05-15Yes165 Lbs5 ft10NoNoNo3ELCPro & Farm700,000$70,000$0$NoLink
Vladislav GavrikovJayhawks (KC )D211995-11-21Yes205 Lbs6 ft2NoNoNo2ELCPro & Farm525,000$52,500$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
6322.02186 Lbs6 ft03.48749,089$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Trevor MooreTroy TerryMatthew Highmore25122
2Dryden HuntKalle KossilaTomas Hyka25122
3Nathan WalkerTravis BoydJustin Kloos25122
4Danick MartelDylan SikuraMaxim Mamin25122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim HeedPaul LaDue30122
2Joakim RyanSami Niku30122
3Gavin BayreutherDevon Toews30122
4Tim HeedPaul LaDue10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Maxim MaminKalle KossilaMatthew Highmore50122
2Dryden HuntTomas Hyka50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim HeedPaul LaDue60122
2Joakim RyanSami Niku40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Maxim MaminMatthew Highmore60122
2Dryden HuntTomas Hyka40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim HeedPaul LaDue60122
2Joakim RyanSami Niku40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Maxim Mamin60122Tim HeedPaul LaDue60122
2Matthew Highmore40122Joakim RyanSami Niku40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Maxim MaminMatthew Highmore60122
2Dryden HuntTomas Hyka40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Tim HeedPaul LaDue60122
2Joakim RyanSami Niku40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Maxim MaminKalle KossilaMatthew HighmoreTim HeedPaul LaDue
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Maxim MaminKalle KossilaMatthew HighmoreTim HeedPaul LaDue
Extra Forwards
Normal PowerPlayPenalty Kill
Trevor Moore, Nathan Walker, Travis BoydTrevor Moore, Nathan WalkerTravis Boyd
Extra Defensemen
Normal PowerPlayPenalty Kill
Gavin Bayreuther, Devon Toews, Joakim RyanGavin BayreutherDevon Toews, Joakim Ryan
Penalty Shots
Maxim Mamin, Matthew Highmore, Dryden Hunt, Tomas Hyka, Kalle Kossila
Goalie
#1 : , #2 : Alex Nedeljkovic


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
1Admirals540000012191232000001972220000001221090.90021355600123123105131569429118677711339319325832.00%13284.62%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
2Baby Hawks3110010089-11000010023-12110000066030.5008152300123123105137494291186777852831541119.09%13376.92%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
3Bears220000001055110000004311100000062441.00010192900123123105138794291186777611518378225.00%9188.89%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
4Bruins21001000844110000004131000100043141.0008132100123123105136894291186777375104112325.00%4175.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
5Cabaret Lady Mary Ann220000001358110000006241100000073441.0001322350012312310513879429118677744783911436.36%30100.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
6Caroline220000001266110000007341100000053241.000122133001231231051384942911867774610122814428.57%5260.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
7Chiefs3210000013103211000008621100000054140.667132134011231231051379942911867779118376214535.71%9366.67%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
8Chill33000000176111100000061522000000115661.000172744001231231051394942911867776515134111327.27%40100.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
9Comets4400000020101022000000105522000000105581.0002032520012312310513152942911867777823215824833.33%70100.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
10Cougars20200000610-41010000057-21010000013-200.0006101600123123105136094291186777692314304125.00%7271.43%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
11Crunch2200000010010110000005051100000050541.000101929021231231051393942911867773510183410440.00%30100.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
12Heat41100011191362100000113762010001066050.62519315001123123105131479429118677710226206323834.78%10280.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
13Las Vegas4200110015123210010006422100010098170.8751525400012312310513112942911867777428326219421.05%11372.73%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
14Manchots220000001358110000007161100000064241.00013233600123123105136694291186777319103310110.00%5180.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
15Marlies20200000711-41010000025-31010000056-100.0007132000123123105135894291186777691916468225.00%8362.50%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
16Minnesota3300000017981100000053222000000126661.000172845001231231051399942911867777218334214321.43%10280.00%11347260251.77%1253238452.56%697142948.78%2119147317606161108578
17Monarchs4300000125141121000001118322000000146870.87525446900123123105131779429118677712735338120630.00%9277.78%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
18Monsters22000000633110000003121100000032141.000691500123123105136594291186777561710407228.57%5180.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
19Monsters3200001016882200000011471000001054161.000162844001231231051393942911867778622285317317.65%9188.89%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
20Oceanics30300000515-1020200000411-71010000014-300.0005813101231231051377942911867771031923631200.00%8362.50%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
21Oil Kings420000111266210000015412100001072570.8751219310012312310513126942911867779123297620420.00%12283.33%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
22Phantoms220000001174110000005321100000064241.00011152600123123105137594291186777391110309444.44%5260.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
23Rocket21000001330110000002111000000112-130.7503580012312310513529429118677727121226900.00%6183.33%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
24Senators21000001972110000005231000000145-130.7509162500123123105134694291186777622614387114.29%7185.71%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
25Sharks41100011191722110000010822000001199050.62519335200123123105131859429118677717545387921523.81%12283.33%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
26Sound Tigers22000000844110000003031100000054141.000814220112312310513459429118677744181827400.00%90100.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
27Spiders22000000844110000004131100000043141.0008132100123123105134194291186777471216394125.00%8187.50%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
28Stars312000009721010000001-12110000096320.3339152400123123105139894291186777692224459333.33%12375.00%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
29Thunder21000001761110000004221000000134-130.7507111800123123105136394291186777621322325240.00%11190.91%21347260251.77%1253238452.56%697142948.78%2119147317606161108578
Total825313022483572301274128701104172108644125601144185122631280.7803576039601512312310513274894291186777213458761514303739525.47%2414680.91%31347260251.77%1253238452.56%697142948.78%2119147317606161108578
31Wolf Pack220000001055110000006421100000041341.000101929001231231051389942911867777419143811327.27%7185.71%01347260251.77%1253238452.56%697142948.78%2119147317606161108578
_Since Last GM Reset825313022483572301274128701104172108644125601144185122631280.7803576039601512312310513274894291186777213458761514303739525.47%2414680.91%31347260251.77%1253238452.56%697142948.78%2119147317606161108578
_Vs Conference41257012331731086520133011028550352112400131885830630.76817329146404123123105131356942911867779692703196721995226.13%1172479.49%11347260251.77%1253238452.56%697142948.78%2119147317606161108578

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82128L135760396027482134587615143015
All Games
GPWLOTWOTL SOWSOLGFGA
8253132248357230
Home Games
GPWLOTWOTL SOWSOLGFGA
412871104172108
Visitor Games
GPWLOTWOTL SOWSOLGFGA
412561144185122
Last 10 Games
WLOTWOTL SOWSOL
610102
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3739525.47%2414680.91%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
9429118677712312310513
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1347260251.77%1253238452.56%697142948.78%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2119147317606161108578


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 - 2018-10-0412Jayhawks7Stars2WBoxScore
4 - 2018-10-0626Admirals3Jayhawks5WBoxScore
8 - 2018-10-1044Jayhawks7Admirals1WBoxScore
11 - 2018-10-1369Crunch0Jayhawks5WBoxScore
14 - 2018-10-1683Jayhawks6Minnesota3WBoxScore
16 - 2018-10-1895Jayhawks1Baby Hawks2LBoxScore
18 - 2018-10-20104Jayhawks1Oceanics4LBoxScore
21 - 2018-10-23123Jayhawks3Monsters2WBoxScore
23 - 2018-10-25143Comets1Jayhawks5WBoxScore
25 - 2018-10-27157Thunder2Jayhawks4WBoxScore
28 - 2018-10-30175Senators2Jayhawks5WBoxScore
31 - 2018-11-02194Caroline3Jayhawks7WBoxScore
34 - 2018-11-05214Phantoms3Jayhawks5WBoxScore
37 - 2018-11-08229Jayhawks6Phantoms4WBoxScore
39 - 2018-11-10249Jayhawks6Manchots4WBoxScore
40 - 2018-11-11255Jayhawks6Bears2WBoxScore
42 - 2018-11-13268Jayhawks1Cougars3LBoxScore
44 - 2018-11-15284Chill1Jayhawks6WBoxScore
46 - 2018-11-17299Bruins1Jayhawks4WBoxScore
50 - 2018-11-21328Las Vegas2Jayhawks3WXBoxScore
52 - 2018-11-23343Monsters3Jayhawks6WBoxScore
54 - 2018-11-25358Heat0Jayhawks7WBoxScore
56 - 2018-11-27372Jayhawks6Minnesota3WBoxScore
58 - 2018-11-29386Jayhawks6Chill2WBoxScore
60 - 2018-12-01404Chiefs0Jayhawks4WBoxScore
63 - 2018-12-04425Jayhawks6Monarchs3WBoxScore
65 - 2018-12-06436Bears3Jayhawks4WBoxScore
67 - 2018-12-08452Sharks2Jayhawks6WBoxScore
70 - 2018-12-11465Jayhawks4Bruins3WXBoxScore
72 - 2018-12-13479Jayhawks5Crunch0WBoxScore
73 - 2018-12-14488Jayhawks4Wolf Pack1WBoxScore
75 - 2018-12-16506Jayhawks5Caroline3WBoxScore
77 - 2018-12-18525Sound Tigers0Jayhawks3WBoxScore
79 - 2018-12-20538Rocket1Jayhawks2WBoxScore
81 - 2018-12-22551Monsters1Jayhawks5WBoxScore
82 - 2018-12-23565Jayhawks4Sharks3WXXBoxScore
86 - 2018-12-27578Jayhawks8Monarchs3WBoxScore
88 - 2018-12-29596Jayhawks5Admirals1WBoxScore
89 - 2018-12-30598Las Vegas2Jayhawks3WBoxScore
92 - 2019-01-02620Oil Kings1Jayhawks3WBoxScore
94 - 2019-01-04634Spiders1Jayhawks4WBoxScore
96 - 2019-01-06647Wolf Pack4Jayhawks6WBoxScore
100 - 2019-01-10680Jayhawks5Comets4WBoxScore
102 - 2019-01-12697Jayhawks5Oil Kings1WBoxScore
103 - 2019-01-13704Jayhawks2Heat3LBoxScore
106 - 2019-01-16725Sharks6Jayhawks4LBoxScore
108 - 2019-01-18738Manchots1Jayhawks7WBoxScore
110 - 2019-01-20754Jayhawks5Marlies6LBoxScore
112 - 2019-01-22761Jayhawks4Senators5LXXBoxScore
113 - 2019-01-23766Jayhawks1Rocket2LXXBoxScore
123 - 2019-02-02801Jayhawks5Sharks6LXXBoxScore
125 - 2019-02-04808Jayhawks2Stars4LBoxScore
126 - 2019-02-05817Jayhawks5Chill3WBoxScore
128 - 2019-02-07836Monsters1Jayhawks3WBoxScore
130 - 2019-02-09845Stars1Jayhawks0LBoxScore
133 - 2019-02-12874Jayhawks3Las Vegas4LXBoxScore
135 - 2019-02-14884Chiefs6Jayhawks4LBoxScore
137 - 2019-02-16895Marlies5Jayhawks2LBoxScore
139 - 2019-02-18910Jayhawks4Heat3WXXBoxScore
140 - 2019-02-19924Jayhawks2Oil Kings1WXXBoxScore
142 - 2019-02-21939Jayhawks5Comets1WBoxScore
145 - 2019-02-24961Oceanics5Jayhawks3LBoxScore
147 - 2019-02-26977Cabaret Lady Mary Ann2Jayhawks6WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2019-02-28988Comets4Jayhawks5WBoxScore
151 - 2019-03-021006Cougars7Jayhawks5LBoxScore
154 - 2019-03-051027Admirals3Jayhawks2LXXBoxScore
156 - 2019-03-071041Heat7Jayhawks6LXXBoxScore
158 - 2019-03-091056Monarchs2Jayhawks6WBoxScore
160 - 2019-03-111069Jayhawks5Baby Hawks4WBoxScore
161 - 2019-03-121076Jayhawks5Chiefs4WBoxScore
163 - 2019-03-141090Admirals1Jayhawks2WBoxScore
165 - 2019-03-161109Oil Kings3Jayhawks2LXXBoxScore
167 - 2019-03-181118Jayhawks3Thunder4LXXBoxScore
170 - 2019-03-211136Jayhawks7Cabaret Lady Mary Ann3WBoxScore
172 - 2019-03-231150Jayhawks4Spiders3WBoxScore
173 - 2019-03-241165Jayhawks5Sound Tigers4WBoxScore
175 - 2019-03-261184Baby Hawks3Jayhawks2LXBoxScore
178 - 2019-03-291200Jayhawks5Monsters4WXXBoxScore
180 - 2019-03-311216Minnesota3Jayhawks5WBoxScore
182 - 2019-04-021238Monarchs6Jayhawks5LXXBoxScore
184 - 2019-04-041253Jayhawks6Las Vegas4WBoxScore
186 - 2019-04-061268Oceanics6Jayhawks1LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price5020
Attendance60,98530,646
Attendance PCT74.37%74.75%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2235 - 74.50% 89,321$3,662,170$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
5,362,640$ 4,719,261$ 4,699,261$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
24,742$ 5,271,618$ 62 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 25,237$ 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
2018825313022483572301274128701104172108644125601144185122631283576039601512312310513274894291186777213458761514303739525.47%2414680.91%31347260251.77%1253238452.56%697142948.78%2119147317606161108578
Total Regular Season825313022483572301274128701104172108644125601144185122631283576039601512312310513274894291186777213458761514303739525.47%2414680.91%31347260251.77%1253238452.56%697142948.78%2119147317606161108578