Please rotate your device to landscape mode for a better experience.
Login

Minnesota
GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 7 | GA: 17 | PP%: 0.00% | PK%: 60.00%
GM : Fred Villiard | Morale : 50 | Team Overall : 56
Next Games #54 vs Stars

Game Center
Monsters
3-0-0, 6pts
5
FINAL
2 Minnesota
0-3-0, 0pts
Team Stats
W3StreakL3
1-0-0Home Record0-2-0
2-0-0Home Record0-1-0
3-0-0Last 10 Games0-3-0
7.00Goals Per Game2.33
3.00Goals Against Per Game5.67
33.33%Power Play Percentage0.00%
100.00%Penalty Kill Percentage60.00%
Monarchs
3-1-0, 6pts
3
FINAL
2 Minnesota
0-3-0, 0pts
Team Stats
W3StreakL3
0-1-0Home Record0-2-0
3-0-0Home Record0-1-0
3-1-0Last 10 Games0-3-0
3.50Goals Per Game2.33
3.00Goals Against Per Game5.67
9.09%Power Play Percentage0.00%
70.00%Penalty Kill Percentage60.00%
Minnesota
0-3-0, 0pts
2025-10-14
Stars
1-1-0, 2pts
Team Stats
L3StreakW1
0-2-0Home Record0-0-0
0-1-0Away Record1-1-0
0-3-0Last 10 Games1-1-0
2.33Goals Per Game3.00
5.67Goals Against Per Game3.00
0.00%Power Play Percentage66.67%
60.00%Penalty Kill Percentage75.00%
Minnesota
0-3-0, 0pts
2025-10-17
Bears
2-1-0, 4pts
Team Stats
L3StreakW2
0-2-0Home Record0-1-0
0-1-0Away Record2-0-0
0-3-0Last 10 Games2-1-0
2.33Goals Per Game4.67
5.67Goals Against Per Game4.67
0.00%Power Play Percentage30.00%
60.00%Penalty Kill Percentage61.54%
Minnesota
0-3-0, 0pts
2025-10-18
Phantoms
3-0-0, 6pts
Team Stats
L3StreakW3
0-2-0Home Record1-0-0
0-1-0Away Record2-0-0
0-3-0Last 10 Games3-0-0
2.33Goals Per Game6.67
5.67Goals Against Per Game6.67
0.00%Power Play Percentage55.56%
60.00%Penalty Kill Percentage75.00%
Team Leaders

Team Stats
Goals For
7
2.33 GFG
Shots For
63
21.00 Avg
Power Play Percentage
0.0%
0 GF
Offensive Zone Start
31.3%
Goals Against
17
5.67 GAA
Shots Against
56
18.67 Avg
Penalty Kill Percentage
60.0%%
2 GA
Defensive Zone Start
29.0%
Team Info

General ManagerFred Villiard
DivisionMid-Ouest
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,791
Season Tickets300


Roster Info

Pro Team26
Farm Team20
Contract Limit46 / 50
Prospects36


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 SPAgeContractSalary
1Noah Östlund (R)X100.00614168685761596142605964625050050600203886,667$
2Joakim Kemell (R)X100.00604269666461586344615954635050050590201950,000$
3Samu Tuomaala (R)X100.00564269666263616343635754625050050590212830,833$
4Filip Bystedt (R)X100.00634166626561596142605760605050050590203918,333$
5Xavier Bourgault (R)X100.00594173666063616243595656615050050580211925,000$
6Caedan Bankier (R)X100.00564268636563616258585752615050050580212867,500$
7Viktor Neuchev (R)X100.00574072675760576143605556615050050580202870,000$
8Jakub Brabenec (R)X100.00564172656261595942575452595050050570212828,333$
9David Goyette (R)X100.00594167625861595841575559585050050570203891,667$
10Matyas Sapovaliv (R)X100.00594168606362616041555754585050050570203803,333$
11Aatu Jamsen (R)XXX100.00574167626160585741545554585050050560222852,500$
12Kasper Simontaival (R)X100.00525554545551515254515154535555050530222825,000$
13Patrik Puistola (R)X100.00384093636652733747263739445454050460231700,000$
14Ty Nelson (R)X100.00634263676262616340625766625050050610203836,667$
15Mats Lindgren (R)X100.00594062626155535440535359575050050560203620,000$
Scratches
1Emil BemströmXXX100.006343766970737269466664636770540506502511,400,000$
2Colin WhiteXXX100.006242746669737264606058596280580506202713,000,000$
3Andre Gasseau (R)X100.00373737373737373737373737373737050380213620,000$
4John KlingbergX100.005741757375867769406563636885750506803214,500,000$
5Jeremy DaviesX100.00574664726070696740646369685751050640271750,000$
6Filip Westerlund (R)X100.0036418461654462332529254233545405046N0251750,000$
7Jakob StenqvistX100.0037373737373737373737373737373705038N0261750,000$
TEAM AVERAGE100.0055426762616060574354535557545105056
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
1Garin Bjorklund (R)100.0066575760626363636362545150050570222843,333$
2Will Cranley (R)100.0059575763595756545759545150050530222841,667$
Scratches
1Jack Campbell100.00697069676967696668696870630506303215,000,000$
2Arsenii Sergeev (R)100.0037373737373737373737373737050350213620,000$
TEAM AVERAGE100.005855555757565655565753525005052
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 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 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
Aatu JamsenMinnesota (Min)C/LW/RW222002-07-22FINYes176 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm852,500$0$0$No852,500$--------852,500$--------No--------Link
Andre GasseauMinnesota (Min)C212003-07-03USAYes209 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Arsenii SergeevMinnesota (Min)G212002-12-16RUSYes195 Lbs6 ft3NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Caedan BankierMinnesota (Min)C212003-01-26CANYes190 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm867,500$0$0$No867,500$--------867,500$--------No--------Link
Colin WhiteMinnesota (Min)C/LW/RW271997-01-30USANo196 Lbs6 ft1NoNoN/AYesYes1FalseFalsePro & Farm3,000,000$0$0$No---------------------------Link
David GoyetteMinnesota (Min)C202004-03-27CANYes174 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm891,667$0$0$No891,667$891,667$-------891,667$891,667$-------NoNo-------Link
Emil BemströmMinnesota (Min)C/LW/RW251999-06-01SWENo194 Lbs6 ft0NoNoFree AgentYesYes12024-09-11FalseFalsePro & Farm1,400,000$0$0$No---------------------------Link
Filip BystedtMinnesota (Min)C202004-02-04SWEYes205 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm918,333$0$0$No918,333$918,333$-------918,333$918,333$-------NoNo-------Link
Filip WesterlundMinnesota (Min)D251999-04-17SWEYes181 Lbs5 ft11YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Garin BjorklundMinnesota (Min)G222002-05-28CANYes172 Lbs6 ft2NoNoProspectNoNo22024-06-25FalseFalsePro & Farm843,333$0$0$No843,333$--------843,333$--------No--------Link
Jack Campbell (1 Way Contract)Minnesota (Min)G321992-01-09USANo196 Lbs6 ft2NoNoTrade2024-09-17YesYes1FalseFalsePro & Farm5,000,000$4,080,000$3,932,021$No---------------------------Link
Jakob StenqvistMinnesota (Min)D261998-03-17SWENo178 Lbs6 ft2YesNoFree AgentNoYes12025-09-28FalseFalsePro & Farm750,000$0$0$No---------825,000$-----------------Link
Jakub BrabenecMinnesota (Min)C212003-09-11CZEYes174 Lbs6 ft1NoNoProspectNoNo22024-06-25FalseFalsePro & Farm828,333$0$0$No828,333$--------828,333$--------No--------Link
Jeremy DaviesMinnesota (Min)D271996-12-04CANNo181 Lbs5 ft11NoNoFree Agent2024-09-24YesYes12025-08-28FalseFalsePro & Farm750,000$0$0$No---------------------------Link
Joakim KemellMinnesota (Min)RW202004-04-27FINYes192 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm950,000$0$0$No---------------------------Link
John Klingberg (1 Way Contract)Minnesota (Min)D321992-08-14SWENo185 Lbs6 ft2NoNoTrade2024-09-25YesYes1FalseFalsePro & Farm4,500,000$3,580,000$3,450,155$No---------------------------Link
Kasper SimontaivalMinnesota (Min)C222002-01-11FINYes174 Lbs5 ft8NoNoProspectNoNo22024-06-25FalseFalsePro & Farm825,000$0$0$No825,000$--------825,000$--------No--------Link
Mats LindgrenMinnesota (Min)D202004-08-26CANYes183 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Matyas SapovalivMinnesota (Min)C202004-02-12CZEYes194 Lbs6 ft4NoNoProspectNoNo32025-07-10FalseFalsePro & Farm803,333$0$0$No803,333$803,333$-------803,333$803,333$-------NoNo-------Link
Noah ÖstlundMinnesota (Min)C202004-03-11SWEYes165 Lbs5 ft11NoNoProspectNoNo32025-07-10FalseFalsePro & Farm886,667$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Link
Patrik PuistolaMinnesota (Min)LW232001-01-11FINYes180 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm700,000$0$0$No---------------------------Link
Samu TuomaalaMinnesota (Min)RW212003-01-08FINYes190 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm830,833$0$0$No830,833$--------830,833$--------No--------Link
Ty NelsonMinnesota (Min)D202004-03-30CANYes198 Lbs5 ft10NoNoProspectNoNo32025-07-10FalseFalsePro & Farm836,667$0$0$No836,667$836,667$-------836,667$836,667$-------NoNo-------Link
Viktor NeuchevMinnesota (Min)LW202003-10-25RUSYes165 Lbs5 ft11NoNoProspectNoNo22024-06-25FalseFalsePro & Farm870,000$0$0$No870,000$--------870,000$--------No--------Link
Will CranleyMinnesota (Min)G222002-02-26CANYes183 Lbs6 ft4NoNoProspectNoNo22024-06-25FalseFalsePro & Farm841,667$0$0$No841,667$--------841,667$--------No--------Link
Xavier BourgaultMinnesota (Min)RW212002-10-22CANYes172 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2622.73185 Lbs6 ft11.921,218,494$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
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
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
1Chiefs1010000039-6000000000001010000039-600.00036900133020152523022448100.00%20100.00%1254160.98%213855.26%265250.00%835849234722
2Monarchs1010000023-11010000023-10000000000000.00023500133020152523094019000%000%0254160.98%213855.26%265250.00%835849234722
3Monsters1010000025-31010000025-30000000000000.0002350013302315252302510624100.00%3233.33%0254160.98%213855.26%265250.00%835849234722
Total30300000717-102020000048-41010000039-600.0007121900133063152523056181051200.00%5260.00%1254160.98%213855.26%265250.00%835849234722
_Since Last GM Reset30300000717-102020000048-41010000039-600.0007121900133063152523056181051200.00%5260.00%1254160.98%213855.26%265250.00%835849234722
_Vs Conference1010000039-6000000000001010000039-600.00036900133020152523022448100.00%20100.00%1254160.98%213855.26%265250.00%835849234722
_Vs Division1010000023-11000000023-10010000000000.00023500133020152523094019000%000%0254160.98%213855.26%265250.00%835849234722

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
30L371219635618105100
All Games
GPWLOTWOTL SOWSOLGFGA
3030000717
Home Games
GPWLOTWOTL SOWSOLGFGA
202000048
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000039
Last 10 Games
WLOTWOTL SOWSOL
030000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
200.00%5260.00%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
15252301330
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
254160.98%213855.26%265250.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
835849234722


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
3 - 2025-10-0915Minnesota3Chiefs9LBoxScore
5 - 2025-10-1133Monsters5Minnesota2LBoxScore
7 - 2025-10-1347Monarchs3Minnesota2LBoxScore
8 - 2025-10-1454Minnesota-Stars-
11 - 2025-10-1773Minnesota-Bears-
12 - 2025-10-1881Minnesota-Phantoms-
14 - 2025-10-2093Minnesota-Wolf Pack-
16 - 2025-10-22108Minnesota-Spiders-
19 - 2025-10-25131Roadrunners-Minnesota-
20 - 2025-10-26142Sags-Minnesota-
22 - 2025-10-28157Oceanics-Minnesota-
24 - 2025-10-30173Manchots-Minnesota-
26 - 2025-11-01190Comets-Minnesota-
29 - 2025-11-04208Jayhawks-Minnesota-
31 - 2025-11-06222Minnesota-Caroline-
32 - 2025-11-07228Minnesota-Sound Tigers-
34 - 2025-11-09249Heat-Minnesota-
36 - 2025-11-11261Sags-Minnesota-
40 - 2025-11-15284Admirals-Minnesota-
41 - 2025-11-16298Las Vegas-Minnesota-
44 - 2025-11-19317Caroline-Minnesota-
46 - 2025-11-21332Minnesota-Manchots-
48 - 2025-11-23348Minnesota-Oceanics-
51 - 2025-11-26370Minnesota-Baby Hawks-
53 - 2025-11-28378Monsters-Minnesota-
54 - 2025-11-29399Crunch-Minnesota-
57 - 2025-12-02418Minnesota-Oil Kings-
59 - 2025-12-04433Minnesota-Heat-
61 - 2025-12-06451Minnesota-Comets-
63 - 2025-12-08465Minnesota-Firebirds-
66 - 2025-12-11488Stars-Minnesota-
68 - 2025-12-13496Senators-Minnesota-
69 - 2025-12-14511Bruins-Minnesota-
71 - 2025-12-16526Bears-Minnesota-
73 - 2025-12-18540Minnesota-Monsters-
75 - 2025-12-20552Oil Kings-Minnesota-
76 - 2025-12-21563Monsters-Minnesota-
78 - 2025-12-23582Jayhawks-Minnesota-
82 - 2025-12-27594Minnesota-Oceanics-
84 - 2025-12-29614Minnesota-Las Vegas-
86 - 2025-12-31625Minnesota-Sags-
88 - 2026-01-02643Minnesota-Admirals-
89 - 2026-01-03655Minnesota-Monarchs-
91 - 2026-01-05666Minnesota-Monarchs-
94 - 2026-01-08693Minnesota-Firebirds-
96 - 2026-01-10708Sound Tigers-Minnesota-
98 - 2026-01-12721Spiders-Minnesota-
101 - 2026-01-15744Oceanics-Minnesota-
103 - 2026-01-17754Minnesota-Crunch-
105 - 2026-01-19774Minnesota-Marlies-
106 - 2026-01-20780Minnesota-Rocket-
108 - 2026-01-22801Cougars-Minnesota-
110 - 2026-01-24817Cabaret Lady Mary Ann-Minnesota-
113 - 2026-01-27837Baby Hawks-Minnesota-
115 - 2026-01-29853Heat-Minnesota-
117 - 2026-01-31871Minnesota-Oil Kings-
119 - 2026-02-02879Rocket-Minnesota-
121 - 2026-02-04896Minnesota-Jayhawks-
143 - 2026-02-26927Minnesota-Monsters-
144 - 2026-02-27932Minnesota-Roadrunners-
146 - 2026-03-01951Chiefs-Minnesota-
148 - 2026-03-03967Thunder-Minnesota-
151 - 2026-03-06988Minnesota-Las Vegas-
Trade Deadline --- Trades can’t be done after this day is simulated!
153 - 2026-03-081001Minnesota-Monsters-
155 - 2026-03-101021Roadrunners-Minnesota-
157 - 2026-03-121035Phantoms-Minnesota-
159 - 2026-03-141046Wolf Pack-Minnesota-
160 - 2026-03-151060Marlies-Minnesota-
162 - 2026-03-171072Minnesota-Baby Hawks-
164 - 2026-03-191088Baby Hawks-Minnesota-
166 - 2026-03-211101Stars-Minnesota-
169 - 2026-03-241127Minnesota-Thunder-
171 - 2026-03-261140Minnesota-Cabaret Lady Mary Ann-
173 - 2026-03-281155Minnesota-Bruins-
178 - 2026-04-021199Comets-Minnesota-
180 - 2026-04-041208Minnesota-Senators-
181 - 2026-04-051222Minnesota-Cougars-
183 - 2026-04-071240Firebirds-Minnesota-
185 - 2026-04-091254Minnesota-Stars-
187 - 2026-04-111267Minnesota-Jayhawks-
189 - 2026-04-131286Minnesota-Chiefs-
190 - 2026-04-141296Admirals-Minnesota-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance3,6941,887
Attendance PCT92.35%94.35%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
1 2791 - 93.02% 94,557$189,114$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
80,451$ 2,218,083$ 2,218,083$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,493$ 80,451$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,687,723$ 186 11,493$ 2,137,698$




Minnesota 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

Minnesota Goalies Stat Leaders (Regular Season)

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

Minnesota 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

Minnesota 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

Minnesota Goalies Stat Leaders (Play-Off)

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