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Supreme
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Kevin Kipps | Morale : 90 | Team Overall : 56
Next Games #8 vs TigersCats

TigersCats
0-0-0, 0pts
Day 1
Supreme
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Vandals
0-0-0, 0pts
Day 2
Supreme
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Supreme
0-0-0, 0pts
Day 4
Farmers
0-0-0, 0pts
Team Stats
N/AStreakN/A
0-0-0Home Record0-0-0
0-0-0Away Record0-0-0
0-0-0Last 10 Games0-0-0
0Goals Per Game0
0Goals Against Per Game0
0%Power Play Percentage0%
0%Penalty Kill Percentage0%
Team Leaders

Team Stats
Team Info

General ManagerKevin Kipps
CoachBen Simon
DivisionDivision Est
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team20
Farm Team19
Contract Limit39 / 50
Prospects58


Team History

This Season0-0-0 (0PTS)
History0-0-0
Playoff Appearances1
Playoff Record (W-L)13 - 8 (0.619%)
Stanley Cup0


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.
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7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
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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
1Elmer Soderblom (R)X100.00844589779967406230626363698373090640241950,000$
2A.J. GreerX100.009963517775509854305156696688750906302821,000,000$
3Marat Khusnutdinov (R)X100.00624588815060915274485566658271090620233925,000$
4Adam Edstrom (R)X100.00884881729950625230465858668471090600243775,000$
5Linus Karlsson (R)X100.00734588835555405630516165678573090590253775,000$
6Skyler Brind'Amour (R)X100.00504592766683404730405469508579090570266800,000$
7Danil Gushchin (R)X100.00524587804062404730445062508372090540231850,000$
8Nikita Prishchepov (R)X100.00574595776350404530405055508168090530216800,000$
9Ty Mueller (R)X100.00504592785552404530405061508269090530226800,000$
10Tomas JurcoX100.00504595766050404530405055509178090530321750,000$
11Andreas JohnssonX100.005045957860504045304050555088780905303011,000,000$
12Evgeny SvechnikovX100.00504595776050404530405055508674090520282750,000$
13Vladislav KolyachonokX100.00634587806154425430525758668371090600244900,000$
14Artemi Kniazev (R)X100.00504595796050404530405055508269090560244850,000$
Scratches
1Egor KorshkovX100.00504595746050404530405055508774090520291775,000$
2Dalibor Dvorsky (R)X100.005045957667504045304050555079660905202061,000,000$
3Vladislav KamenevX100.00504595776050404530405055508774090520294775,000$
4Kristian Vesalainen (R)X100.00504595756050404530405055508471090520261750,000$
5Ruslan Iskhakov (R)X100.00504595804250404530405055508374090510253775,000$
TEAM AVERAGE100.0059469078635447483244535955847309056
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
1Ville Husso100.00705064897070707070707089780906203051,600,000$
Scratches
TEAM AVERAGE100.007050648970707070707070897809062
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ben Simon65656565798182USA471500,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team NamePOSGP G A P +/- PIM PIM5 HIT HTT SHT OSB OSM SHT% SB MP AMG PPG PPA PPP PPS PPM PKG PKA PKP PKS PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS FW FL FT S1 S2 S3
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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
A.J. GreerSupreme (ATL)RW281996-12-14CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo22025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------NHL Link
Adam EdstromSupreme (ATL)C242000-10-12SWEYes234 Lbs6 ft7NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
Andreas JohnssonSupreme (ATL)RW301994-11-21SWENo195 Lbs5 ft10NoNoN/ANoNo12025-09-11FalseFalsePro & Farm1,000,000$1,000,000$0$0$No---------------------------
Artemi KniazevSupreme (ATL)D242001-01-04RUSYes178 Lbs5 ft11NoNoN/ANoNo42025-09-11FalseFalsePro & Farm850,000$850,000$0$0$No850,000$850,000$850,000$------850,000$850,000$850,000$------NoNoNo------
Dalibor DvorskySupreme (ATL)RW202005-06-15SVKYes201 Lbs6 ft1NoNoDraftNoNo62025-09-22FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$----1,000,000$1,000,000$1,000,000$1,000,000$1,000,000$----NoNoNoNoNo----NHL Link
Danil GushchinSupreme (ATL)LW232002-02-06RUSYes165 Lbs5 ft8NoNoN/ANoNo12025-09-11FalseFalsePro & Farm850,000$850,000$0$0$No---------------------------NHL Link
Egor KorshkovSupreme (ATL)LW291996-07-10RUSNo214 Lbs6 ft4NoNoN/ANoNo12025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Elmer SoderblomSupreme (ATL)LW242001-07-05SWEYes246 Lbs6 ft8NoNoN/ANoNo12025-09-11FalseFalsePro & Farm950,000$950,000$0$0$No---------------------------NHL Link
Evgeny SvechnikovSupreme (ATL)RW281996-10-31RUSNo208 Lbs6 ft3NoNoN/ANoNo22025-09-11FalseFalsePro & Farm750,000$750,000$0$0$No750,000$--------750,000$--------No--------
Kristian VesalainenSupreme (ATL)C261999-06-01FINYes207 Lbs6 ft3NoNoN/ANoNo12025-09-11FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Linus KarlssonSupreme (ATL)C251999-11-16SWEYes178 Lbs6 ft1NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------NHL Link
Marat KhusnutdinovSupreme (ATL)C232002-07-17RUSYes176 Lbs5 ft11NoNoN/ANoNo32025-09-11FalseFalsePro & Farm925,000$925,000$0$0$No925,000$925,000$-------925,000$925,000$-------NoNo-------NHL Link
Nikita PrishchepovSupreme (ATL)C212004-02-20RUSYes194 Lbs6 ft1NoNoProspectNoNo62025-09-22FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$800,000$800,000$----800,000$800,000$800,000$800,000$800,000$----NoNoNoNoNo----NHL Link
Ruslan IskhakovSupreme (ATL)C252000-07-22RUSYes170 Lbs5 ft8NoNoN/ANoNo32025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------
Skyler Brind'AmourSupreme (ATL)C261999-07-27USAYes195 Lbs6 ft2NoNoProspectNoNo62025-09-22FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$800,000$800,000$----800,000$800,000$800,000$800,000$800,000$----NoNoNoNoNo----NHL Link
Tomas JurcoSupreme (ATL)LW321992-12-28SVKNo197 Lbs6 ft2NoNoN/ANoNo12025-09-11FalseFalsePro & Farm750,000$750,000$0$0$No---------------------------
Ty MuellerSupreme (ATL)C222003-02-26CANYes185 Lbs5 ft11NoNoDraftNoNo62025-09-22FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$800,000$800,000$800,000$----800,000$800,000$800,000$800,000$800,000$----NoNoNoNoNo----NHL Link
Ville HussoSupreme (ATL)G301995-02-06FINNo200 Lbs6 ft3NoNoN/ANoNo52025-09-11FalseFalsePro & Farm1,600,000$1,600,000$0$0$No1,600,000$1,600,000$1,600,000$1,600,000$-----1,600,000$1,600,000$1,600,000$1,600,000$-----NoNoNoNo-----NHL Link
Vladislav KamenevSupreme (ATL)LW291996-08-12RUSNo194 Lbs6 ft2NoNoAssign ManuallyNoNo42025-09-11FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Vladislav KolyachonokSupreme (ATL)D242001-05-26BLRNo193 Lbs6 ft1NoNoN/ANoNo42025-09-11FalseFalsePro & Farm900,000$900,000$0$0$No900,000$900,000$900,000$------900,000$900,000$900,000$------NoNoNo------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2025.65197 Lbs6 ft13.15880,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
135122
230122
325122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
135122
230122
3Linus Karlsson25122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
155122
245122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
155122
245122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15512255122
24512245122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
155122
245122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
155122
245122
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
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
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
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
18TigersCats-Supreme-
229Vandals-Supreme-
443Supreme-Farmers-
553Supreme-Bandits-
670Supreme-TigersCats-
781Hunters-Supreme-
9104Rockets-Supreme-
11124Supreme-Smirnoff Ice-
12135Supreme-Predateurs-
13147Husky-Supreme-
15167Vipers-Supreme-
16186Supreme-Grizzlies-
17200Supreme-Raptors-
18209Warriors-Supreme-
19226Supreme-Xpress-
20238Supreme-Marlies-
21248Bayou-Supreme-
23271Bandits-Supreme-
24290Grizzlies-Supreme-
25305Supreme-Farmers-
27320Supreme-Chiwawa-
28333Husky-Supreme-
29353Igloos-Supreme-
31376Xpress-Supreme-
32388Supreme-Marmots-
34406Snowbirds-Supreme-
35420Supreme-TigersCats-
36437Sags-Supreme-
37451Supreme-CoolFm-
39470Twins-Supreme-
40485Supreme-Xpress-
41501Supreme-Vandals-
42509Thugs-Supreme-
43531Barracudas-Supreme-
45550Supreme-Marmots-
46564Supreme-Bandits-
47579TigersCats-Supreme-
48594Supreme-Grizzlies-
49609TigersCats-Supreme-
50627Farmers-Supreme-
51641Supreme-Twins-
53661Marlies-Supreme-
54680Bayou-Supreme-
56701Supreme-Predateurs-
57717Hunters-Supreme-
58739Supreme-Sags-
59747Outlaws-Supreme-
60770Igloos-Supreme-
62779Supreme-Rockets-
64806Predateurs-Supreme-
65815Supreme-Marlies-
66838Bandits-Supreme-
67848Supreme-Outlaws-
69868Rockets-Supreme-
70879Supreme-Barracudas-
71894Supreme-Husky-
72904Warriors-Supreme-
74928Supreme-Goons-
75936CoolFm-Supreme-
77963Spartans-Supreme-
78975Supreme-Spartans-
79980Supreme-Scorpions-
80995Wolves-Supreme-
811007Supreme-Hunters-
821024Supreme-Vipers-
831032Smirnoff Ice-Supreme-
841056Scorpions-Supreme-
861064Supreme-Raptors-
871081Supreme-Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
891092Vipers-Supreme-
901116Chiwawa-Supreme-
921135Supreme-Bayou-
941151Marmots-Supreme-
951163Supreme-CoolFm-
961180Raptors-Supreme-
971184Supreme-Snowbirds-
1011212Goons-Supreme-
1021228Supreme-Warriors-
1031240Supreme-Igloos-
1051244Supreme-Thugs-
1061245Supreme-Smirnoff Ice-
1071258Goons-Supreme-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
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 Salaries CapCoaches Salaries
0$ 1,760,000$ 1,760,000$ 500,000$0$
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$ 108 20,926$ 2,260,008$




Supreme 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

Supreme Goalies Stat Leaders (Regular Season)

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

Supreme 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
Regular Season
Total Regular Season0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000
Playoff
482113800000837211128400000524012954000003132-126831242070011303756141422362152161921687351923841.30%41685.37%224844455.86%21142449.76%18233853.85%342170602175337168
Total Playoff2113800000837211128400000524012954000003132-126831242070011303756141422362152161921687351923841.30%41685.37%224844455.86%21142449.76%18233853.85%342170602175337168

Supreme 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
1Pierre Engvall21142236-12832269015.56%1043920.92715223901132133.33%01.6400
2Ryan Carpenter21111728-101237417814.10%2144020.98611172700012160.78%01.2700
3Marat Khusnutdinov211112230840355022.00%1237517.9047111010131164.71%11.2200
4Gabriel Carlsson2171017-51515302825.00%3753325.415510130001210%00.6400
5Kasper Bjorkqvist21710175214113718.92%533215.84257500003047.62%01.0200

Supreme Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Ville Husso2113800.8823.39125840716022913000
2Carey Price10000.9412.73220011780000