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Jayhawks
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Yves Létourneau | Morale : 50 | Team Overall : 59
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Team Leaders

Team Stats
Team Info

General ManagerYves Létourneau
DivisionWest
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team20
Contract Limit43 / 50
Prospects19


Filter Tips
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary Average
1Tye Kartye (R)X100.00664861696462636643636366665050050630213859,167$
2Marc McLaughlin (R)X100.00634767697167626456615961645150050620233883,750$
3Aidan McDonough (R)X100.00574071707874606540606160665150050620223925,000$
4Ethen Frank (R)X100.00624069696263646542616464665250050620243775,000$
5Austin PoganskiX100.00634569666468686242625464615550050610261750,000$
6Alex Steeves (R)XX100.00574568696363636744646154665150050610223834,167$
7Nolan PatrickXX100.00594370647370655963565358587057050600241600,000$
8Nicholas Abruzzese (R)XX100.00544070685562636442645954645150050600233850,000$
9Kristian VesalainenXX100.0074459473774864542548526024525305058N0231620,000$
10Jayce HawrylukXX100.00594466626263625740545457585450050570261600,000$
11Josh WilkinsX100.00747396626657544967414766454444050550251925,002$
12Jake Livingstone (R)X100.00574071697978606540616063655150050640233950,000$
13Matthew Kessel (R)X100.00645060686763626240605468615150050620223883,750$
14Maxence Guenette (R)X100.00574871706463636540635565635050050620211600,000$
15Santtu Kinnunen (R)X100.0055406969576263654062596564515005061N02341,500,000$
16Emil Andrae (R)X100.00584068686058575740545460595050050580203903,333$
Scratches
1Arseny Gritsyuk (R)X100.00413797696260735352405243585454050540213560,000$
2Domenick Fensore (R)X100.00393597666053704125442941335454050500213700,000$
TEAM AVERAGE100.0059447468666363604357555958525105060
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 SPAgeContractSalary Average
1Dustin Wolf (R)100.0074637054687375757571595050050640211815,833$
2Mack Guzda (R)100.0066626369666669666766595050050610213897,500$
Scratches
1Taylor Gauthier (R)100.0067595966646567666563595050050590213859,167$
2Jacob Ingham (R)100.00525050585252525152525150500504902241,000,000$
3Kirill Ustimenko (R)100.0042394876434244464242424440050440231600,000$
TEAM AVERAGE100.006055586559606161605954494805055
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 NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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


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 Waiver Possible Contract Type Current Salary Salary Ave RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
Aidan McDonoughJayhawks (KC )LW221999-11-06Yes190 Lbs6 ft3NoNoNoNo3Pro & Farm925,000$660,714$0$0$No925,000$925,000$
Alex SteevesJayhawks (KC )LW/RW221999-12-10Yes185 Lbs5 ft11NoNoNoNo3Pro & Farm834,167$595,834$0$0$No834,167$834,167$Link
Arseny GritsyukJayhawks (KC )LW212001-03-15Yes179 Lbs5 ft10NoNoNoNo3Pro & Farm560,000$400,000$0$0$No560,000$560,000$Link
Austin PoganskiJayhawks (KC )RW261996-02-16No198 Lbs6 ft1NoNoYesNo1Pro & Farm750,000$535,714$0$0$NoLink
Domenick FensoreJayhawks (KC )D212001-09-07Yes174 Lbs5 ft9NoNoNoNo3Pro & Farm700,000$500,000$0$0$No700,000$700,000$Link
Dustin WolfJayhawks (KC )G212001-04-16Yes157 Lbs6 ft0NoNoNoNo1Pro & Farm815,833$582,738$0$0$NoLink
Emil AndraeJayhawks (KC )D202002-02-23Yes181 Lbs5 ft9NoNoNoNo3Pro & Farm903,333$645,238$0$0$No903,333$903,333$
Ethen FrankJayhawks (KC )RW241998-02-05Yes185 Lbs5 ft11NoNoYesNo3Pro & Farm775,000$553,571$0$0$No775,000$775,000$
Jacob InghamJayhawks (KC )G222000-06-10Yes205 Lbs6 ft5NoNoNoNo4Pro & Farm1,000,000$714,286$0$0$No1,000,000$1,000,000$1,000,000$Link
Jake LivingstoneJayhawks (KC )D231999-04-16Yes205 Lbs6 ft3NoNoNoNo3Pro & Farm950,000$678,571$0$0$No950,000$950,000$
Jayce HawrylukJayhawks (KC )LW/RW261996-01-01No196 Lbs5 ft11NoNoYesNo1Pro & Farm600,000$428,571$0$0$NoLink
Josh WilkinsJayhawks (KC )C251997-06-11No181 Lbs5 ft11NoNoYesNo1Pro & Farm925,002$660,716$0$0$NoLink
Kirill UstimenkoJayhawks (KC )G231999-01-29Yes187 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$428,571$0$0$NoLink
Kristian Vesalainen (1 Way Contract)Jayhawks (KC )LW/RW231999-06-01No207 Lbs6 ft3YesNoNoNo1Pro & Farm620,000$442,857$0$0$NoLink
Mack GuzdaJayhawks (KC )G212001-01-11Yes209 Lbs6 ft5NoNoNoNo3Pro & Farm897,500$641,071$0$0$No897,500$897,500$
Marc McLaughlinJayhawks (KC )C231999-07-26Yes205 Lbs6 ft0NoNoNoNo3Pro & Farm883,750$631,250$0$0$No883,750$883,750$Link
Matthew KesselJayhawks (KC )D222000-06-23Yes205 Lbs6 ft2NoNoNoNo3Pro & Farm883,750$631,250$0$0$No883,750$883,750$Link
Maxence GuenetteJayhawks (KC )D212001-04-28Yes181 Lbs6 ft1NoNoNoNo1Pro & Farm600,000$428,571$0$0$NoLink
Nicholas AbruzzeseJayhawks (KC )C/LW231999-06-04Yes161 Lbs5 ft9NoNoNoNo3Pro & Farm850,000$607,143$0$0$No850,000$850,000$Link
Nolan PatrickJayhawks (KC )C/RW241998-09-19No201 Lbs6 ft2NoNoYesNo1Pro & Farm600,000$428,571$0$0$NoLink
Santtu Kinnunen (1 Way Contract)Jayhawks (KC )D231999-03-25Yes154 Lbs6 ft3YesNoNoNo4Pro & Farm1,500,000$1,071,429$600,000$428,571$No1,500,000$1,500,000$1,500,000$Link
Taylor GauthierJayhawks (KC )G212001-02-15Yes194 Lbs6 ft1NoNoNoNo3Pro & Farm859,167$613,691$0$0$No859,167$859,167$
Tye KartyeJayhawks (KC )LW212001-04-30Yes203 Lbs5 ft11NoNoNoNo3Pro & Farm859,167$613,691$0$0$No859,167$859,167$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2322.52189 Lbs6 ft12.39821,377$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
125122
225122
325122
425122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


Filter Tips
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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
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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price5020
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,677,167$ 1,677,167$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 10 0$ 0$




Jayhawks Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Jayhawks Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Jayhawks Career Team Stats

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

Jayhawks Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Jayhawks Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA