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

Barons
GP: 73 | W: 31 | L: 36 | OTL: 6 | P: 68
GF: 263 | GA: 280 | PP%: 22.01% | PK%: 79.07%
GM : Jeff Karas | Morale : 37 | Team Overall : 58
Next Games #812 vs Nordiks

Game Center
Ice Bats
26-35-12, 64pts
4
FINAL
6 Barons
31-36-6, 68pts
Team Stats
L1StreakL1
13-19-5Home Record17-16-4
13-16-7Home Record14-20-2
4-4-2Last 10 Games3-7-0
4.16Goals Per Game3.60
4.96Goals Against Per Game3.84
26.28%Power Play Percentage22.01%
75.50%Penalty Kill Percentage79.07%
Quacken
40-29-3, 83pts
2
FINAL
1 Barons
31-36-6, 68pts
Team Stats
W2StreakL1
24-13-0Home Record17-16-4
16-16-3Home Record14-20-2
7-3-0Last 10 Games3-7-0
3.82Goals Per Game3.60
3.68Goals Against Per Game3.84
29.93%Power Play Percentage22.01%
77.70%Penalty Kill Percentage79.07%
Barons
31-36-6, 68pts
Day 160
Nordiks
42-25-8, 92pts
Team Stats
L1StreakW1
17-16-4Home Record19-13-4
14-20-2Away Record23-12-4
3-7-0Last 10 Games6-2-2
3.60Goals Per Game5.32
3.84Goals Against Per Game5.32
22.01%Power Play Percentage24.42%
79.07%Penalty Kill Percentage73.74%
Broncos
31-29-12, 74pts
Day 162
Barons
31-36-6, 68pts
Team Stats
OTL1StreakL1
17-17-3Home Record17-16-4
14-12-9Away Record14-20-2
5-2-3Last 10 Games3-7-0
3.63Goals Per Game3.60
4.13Goals Against Per Game3.60
25.17%Power Play Percentage22.01%
65.41%Penalty Kill Percentage79.07%
Barons
31-36-6, 68pts
Day 163
Tomahawks
40-30-4, 84pts
Team Stats
L1StreakL1
17-16-4Home Record23-14-0
14-20-2Away Record17-16-4
3-7-0Last 10 Games3-7-0
3.60Goals Per Game4.93
3.84Goals Against Per Game4.93
22.01%Power Play Percentage22.41%
79.07%Penalty Kill Percentage71.94%
Team Leaders
Parker KellyGoals
Parker Kelly
50
Jayden StrubleAssists
Jayden Struble
65
Parker KellyPoints
Parker Kelly
105
Matias MaccelliPlus/Minus
Matias Maccelli
4
Thatcher DemkoWins
Thatcher Demko
5
Thatcher DemkoSave Percentage
Thatcher Demko
0.907

Team Stats
Goals For
263
3.60 GFG
Shots For
2088
28.60 Avg
Power Play Percentage
22.0%
35 GF
Offensive Zone Start
36.4%
Goals Against
280
3.84 GAA
Shots Against
2531
34.67 Avg
Penalty Kill Percentage
79.1%%
18 GA
Defensive Zone Start
41.9%
Team Info

General ManagerJeff Karas
CoachNeal Broten
DivisionCentral
ConferenceWestern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team18
Farm Team19
Contract Limit37 / 50
Prospects27


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
1Parker KellyXX100.00796085666672906963676178506670072660262500,000$
2Fedor Svechkov (R)X100.006456877068727068546768605157590666302210$
3Matias MaccelliX100.004955926866737268506867585061630716202521,000,000$
4Liam Ohgren (R)X100.00685495666866566750635757505657059590222500,000$
5Ozzy WiesblattX100.00503590596650515050505048505961059510243500,000$
6Jan JenikX100.00483590577150504950495047506362044510252500,000$
7Kailer YamamotoX100.00495591576253534950494948517370058510273500,000$
8Dalibor DvorskyX100.00493590597450504950504947505557054500203500,000$
9Grigori DenisenkoX100.00614927577050504950505047506362057500252500,000$
10Oskar OlaussonX100.00493590586550504950494949505658056500231500,000$
11Jayden StrubleX100.00816673657667737150675369626365062650243500,000$
12Mathew DumbaX100.007065706366687868506152685573720516303131,000,000$
13Erik GudbransonX100.007060825780545666506454685580790506203411,250,000$
14Hunter BrzustewiczX100.00515027596950545050505049555559055510213500,000$
Scratches
1Jordan EberleX100.005656837263796576507369636578770196603511,250,000$
2Caleb JonesX100.00494184576950525050494949556970036520282500,000$
TEAM AVERAGE100.0059507962696061595158555753646505457
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
1Thatcher Demko100.00717171746876717069648069700666903011,500,000$
Scratches
1Ville Husso100.0061666576505754485050506969020570313500,000$
TEAM AVERAGE100.006669687559676359605765697004363
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Neal Broten8586997070751USA655500,000$


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
1Parker KellyBarons (MIN)C/LW735055105-928021029437910227213.19%72178824.507916421350113707154.81%222600031.17160001267
2Matias MaccelliBarons (MIN)LW733963102440131273438825211.37%28175424.0341014371401014853352.24%13400101.1601000695
3Fedor SvechkovBarons (MIN)C69484391-10807420330010321116.00%22152022.046814321080000585350.12%171600031.20340001128
4Liam OhgrenBarons (MIN)LW73324779-13601091072495316812.85%25164622.5561016301210002666042.39%18400210.9611000475
5Jayden StrubleBarons (MIN)D7386573-325001591119031638.89%135181524.87291132115000051010%200000.8000000266
6Erik GudbransonBarons (MIN)D73123850-42120779379285615.19%132170723.39448171030110652120.00%500000.5900000132
7Ozzy WiesblattBarons (MIN)RW73111728-90076711234689.82%19130517.880115400000110048.51%10100000.4300000012
8Grigori DenisenkoBarons (MIN)LW7391221-122001686210332808.74%9125317.170003300000180058.02%8100000.3400000041
9Hunter BrzustewiczBarons (MIN)D7331720-10340139263214219.38%73156921.5003391130000500133.33%300000.2500000120
10Mathew DumbaBarons (MIN)D3031619-76045333083110.00%5269823.290115200000150050.00%3200000.5400000021
11Jan JenikBarons (MIN)C7311819-17001012282266413.41%11138919.031013250000141048.67%127400000.2700000102
12Dalibor DvorskyBarons (MIN)RW7371118-244020285993411.86%7145219.90202101100000241144.03%13400000.2524000000
13Kailer YamamotoBarons (MIN)RW736915000132641102314.63%9110715.17000267000040050.00%7600000.2701000000
14Caleb JonesBarons (MIN)D7001313-9202123285230%73154622.1000071050000570040.00%1000000.1700000001
15Jordan EberleBarons (MIN)RW12718-4206185792712.28%1025621.392021025000071246.67%1500000.6202000102
16Oskar OlaussonBarons (MIN)RW3012320041215146.67%52859.5100007000000052.38%2100000.2100000000
Team Total or Average1014247417664-1921760107513521999553139712.36%6822109720.8134558924412731239600261351.23%601400370.63719000394242
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
1Dan VladarMinnesota Wild45211830.8933.9024004015614540300.82417436511
2Thatcher DemkoBarons (MIN)2751030.9073.04126220646910100.33331660020
3Ville HussoBarons (MIN)145800.8504.62754005838600000141001
Team Total or Average86313660.8903.784417602782531040207367532


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
Caleb JonesBarons (MIN)D281997-06-06USANo194 Lbs6 ft1NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Dalibor DvorskyBarons (MIN)RW202005-06-15SVKNo201 Lbs6 ft1NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Erik GudbransonBarons (MIN)D341992-01-07CANNo222 Lbs6 ft5NoNoAssign ManuallyNoNo12024-08-23FalseFalsePro & Farm1,250,000$125,000$14,583$No---------------------------Link / NHL Link
Fedor SvechkovBarons (MIN)C222003-04-05RUSYes187 Lbs6 ft0NoNoProspectNoNo12025-08-05FalseFalsePro & Farm0$0$No---------------------------Link / NHL Link
Grigori DenisenkoBarons (MIN)LW252000-06-24RUSNo198 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Hunter BrzustewiczBarons (MIN)D212004-11-29USANo190 Lbs6 ft0NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Jan JenikBarons (MIN)C252000-09-15CZENo199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Jayden StrubleBarons (MIN)D242001-09-08USANo207 Lbs6 ft0NoNoFree AgentNoNo32024-09-04FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Jordan EberleBarons (MIN)RW351990-05-15CANNo180 Lbs5 ft11NoNoAssign ManuallyNoNo12024-08-23FalseFalsePro & Farm1,250,000$125,000$14,583$No---------------------------Link / NHL Link
Kailer YamamotoBarons (MIN)RW271998-09-29USANo178 Lbs5 ft9NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Liam OhgrenBarons (MIN)LW222004-01-28SWEYes187 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Mathew DumbaBarons (MIN)D311994-07-25CANNo185 Lbs6 ft1NoNoN/ANoNo32024-08-19FalseFalsePro & Farm1,000,000$100,000$11,667$No1,000,000$1,000,000$-------1,000,000$1,000,000$-------NoNo-------Link / NHL Link
Matias MaccelliBarons (MIN)LW252000-10-14FINNo185 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,000,000$100,000$11,667$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Oskar OlaussonBarons (MIN)RW232002-11-10SWENo180 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$5,833$No---------------------------Link / NHL Link
Ozzy WiesblattBarons (MIN)RW242002-03-09CANNo183 Lbs5 ft10NoNoFree AgentNoNo32025-07-27FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Parker KellyBarons (MIN)C/LW261999-05-14CANNo185 Lbs6 ft1NoNoTrade2025-03-08NoNo2FalseFalsePro & Farm500,000$50,000$5,833$No500,000$--------500,000$--------No--------Link / NHL Link
Thatcher DemkoBarons (MIN)G301995-12-08USANo192 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$150,000$17,500$No---------------------------Link / NHL Link
Ville HussoBarons (MIN)G311995-02-06FINNo205 Lbs6 ft3NoNoFree AgentNoNo32026-01-27FalseFalsePro & Farm500,000$50,000$5,833$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1826.28192 Lbs6 ft12.11666,667$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Liam OhgrenFedor SvechkovDalibor Dvorsky40122
2Matias MaccelliParker KellyKailer Yamamoto30122
3Grigori DenisenkoJan JenikOzzy Wiesblatt20122
4Matias MaccelliParker KellyOskar Olausson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Erik Gudbranson35122
2Jayden StrubleMathew Dumba30122
3Hunter BrzustewiczErik Gudbranson25122
4Jayden StrubleMathew Dumba10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Matias MaccelliParker KellyKailer Yamamoto60122
2Liam OhgrenFedor SvechkovDalibor Dvorsky40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden StrubleErik Gudbranson60122
2Hunter Brzustewicz40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Parker KellyMatias Maccelli60122
2Fedor SvechkovLiam Ohgren40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden StrubleErik Gudbranson60122
2Hunter Brzustewicz40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Parker Kelly60122Jayden StrubleErik Gudbranson60122
2Fedor Svechkov40122Hunter Brzustewicz40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Parker KellyMatias Maccelli60122
2Fedor SvechkovLiam Ohgren40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jayden StrubleErik Gudbranson60122
2Hunter Brzustewicz40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matias MaccelliParker KellyKailer YamamotoJayden StrubleErik Gudbranson
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Matias MaccelliParker KellyOskar OlaussonJayden StrubleErik Gudbranson
Extra Forwards
Normal PowerPlayPenalty Kill
Liam Ohgren, Dalibor Dvorsky, Ozzy WiesblattLiam Ohgren, Dalibor DvorskyLiam Ohgren
Extra Defensemen
Normal PowerPlayPenalty Kill
Erik Gudbranson, , Hunter BrzustewiczErik GudbransonErik Gudbranson,
Penalty Shots
Fedor Svechkov, Parker Kelly, Kailer Yamamoto, Matias Maccelli, Liam Ohgren
Goalie
#1 : , #2 : Thatcher Demko


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
1Aces622001011517-230100101410-632100000117460.50015254000988474101417076766764814741108518422.22%3166.67%01160219052.97%1286252450.95%665130351.04%171011881756520956475
2Admirals211000009451010000023-11100000071620.50091322009884741056707676676484210428000%20100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
3Americiens303000001216-41010000056-120200000710-300.0001222340098847410100707676676481513806311327.27%000%01160219052.97%1286252450.95%665130351.04%171011881756520956475
4Barracuda723001101723-631100010770412001001016-670.50017264300988474101687076766764818268269021419.05%13376.92%01160219052.97%1286252450.95%665130351.04%171011881756520956475
5Broncos30300000916-720200000711-41010000025-300.000916250098847410737076766764867212366116.67%10100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
6Bruins21100000963110000006151010000035-220.500917260098847410527076766764865150308225.00%000%01160219052.97%1286252450.95%665130351.04%171011881756520956475
7Butter Knives1010000035-2000000000001010000035-200.0003580098847410317076766764832104243133.33%20100.00%11160219052.97%1286252450.95%665130351.04%171011881756520956475
8Canucks622001102226-4321000001313030100110913-470.583223860009884741013970767667648189361465300.00%7442.86%01160219052.97%1286252450.95%665130351.04%171011881756520956475
9Fighting Pandas310020001284210010008531000100043161.000122133009884741058707676676489126641400.00%30100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
10Firebirds32100000151231010000034-122000000128440.6671526410098847410997076766764875174408112.50%2150.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
11Griffins4310000023194220000001394211000001010060.75023406300988474101617076766764818253148211545.45%7271.43%01160219052.97%1286252450.95%665130351.04%171011881756520956475
12Ice Bats422000001817121100000111012110000077040.5001827450098847410110707676676481595124589111.11%11281.82%01160219052.97%1286252450.95%665130351.04%171011881756520956475
13Lions312000001213-1211000009721010000036-320.333122335009884741010670767667648132381451700.00%7271.43%01160219052.97%1286252450.95%665130351.04%171011881756520956475
14Lynx2010010047-31000010023-11010000024-210.2504812009884741052707676676485918235100.00%10100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
15Marlies2020000059-41010000025-31010000034-100.00059140098847410517076766764876186264250.00%30100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
16Nordiks3200001014953200001014950000000000061.000142337009884741011570767667648172388537228.57%40100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
17Quacken614000101821-331100010116530300000715-840.33318264400988474101687076766764817657127611218.18%60100.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
18Roadrunners2110000056-11010000035-21100000021120.500581300988474106070767667648631610284125.00%5180.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
19Tomahawks31200000161512110000011921010000056-120.33316264200988474109670767667648147394557228.57%110.00%01160219052.97%1286252450.95%665130351.04%171011881756520956475
20Wombats211000007611010000024-21100000052320.500713200098847410557076766764864190314125.00%000%01160219052.97%1286252450.95%665130351.04%171011881756520956475
21Wranglers613010011825-720100001611-5412010001214-250.417183250009884741019770767667648260792010512325.00%8187.50%01160219052.97%1286252450.95%665130351.04%171011881756520956475
Total73243603442263280-1737131601232139138136112002210124142-18680.4662634447070098847410208870767667648253170818411021593522.01%861879.07%11160219052.97%1286252450.95%665130351.04%171011881756520956475
_Since Last GM Reset73243603442263280-1737131601232139138136112002210124142-18680.4662634447070098847410208870767667648253170818411021593522.01%861879.07%11160219052.97%1286252450.95%665130351.04%171011881756520956475
_Vs Conference48172101342173185-1225118001329991823613012107494-20490.510173286459009884741014017076766764817465001467201062321.70%671676.12%01160219052.97%1286252450.95%665130351.04%171011881756520956475
_Vs Division27814013327793-161345001223841-31449012103952-13290.5377712320000988474106767076766764875721872344571119.30%34973.53%01160219052.97%1286252450.95%665130351.04%171011881756520956475

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7368L126344470720882531708184110200
All Games
GPWLOTWOTL SOWSOLGFGA
7324363442263280
Home Games
GPWLOTWOTL SOWSOLGFGA
3713161232139138
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3611202210124142
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1593522.01%861879.07%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7076766764898847410
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1160219052.97%1286252450.95%665130351.04%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
171011881756520956475


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
24Wranglers6Barons2LBoxScore
310Barons0Barracuda5LBoxScore
519Barons5Wranglers4WBoxScore
728Barons2Wranglers4LBoxScore
942Wranglers5Barons4LXXBoxScore
1150Barons4Canucks5LXBoxScore
1463Barracuda2Barons3WXXBoxScore
1678Barons2Barracuda1WBoxScore
1885Aces3Barons2LXBoxScore
21101Nordiks2Barons3WBoxScore
24115Barons3Aces1WBoxScore
25121Barons3Quacken4LBoxScore
27131Broncos5Barons3LBoxScore
30144Quacken3Barons4WXXBoxScore
34163Canucks5Barons3LBoxScore
37178Griffins3Barons4WBoxScore
39185Barons2Lynx4LBoxScore
41192Barons2Quacken5LBoxScore
43200Barons3Ice Bats2WBoxScore
45210Americiens6Barons5LBoxScore
47221Barons3Butter Knives5LBoxScore
49232Marlies5Barons2LBoxScore
50244Barons7Admirals1WBoxScore
52254Admirals3Barons2LBoxScore
54263Barons5Canucks4WXXBoxScore
56277Nordiks2Barons5WBoxScore
58290Barons5Wombats2WBoxScore
60298Canucks4Barons5WBoxScore
62309Barons4Americiens5LBoxScore
65322Quacken1Barons6WBoxScore
67331Barons3Americiens5LBoxScore
69341Barons2Quacken6LBoxScore
70349Bruins1Barons6WBoxScore
74367Nordiks5Barons6WXXBoxScore
76380Barons4Fighting Pandas3WXBoxScore
77387Barracuda1Barons2WBoxScore
80402Barons5Tomahawks6LBoxScore
82410Griffins6Barons9WBoxScore
84422Barons2Broncos5LBoxScore
85432Tomahawks5Barons4LBoxScore
88440Barons7Griffins5WBoxScore
91453Barons4Ice Bats5LBoxScore
92461Fighting Pandas3Barons5WBoxScore
95470Barons3Bruins5LBoxScore
97479Roadrunners5Barons3LBoxScore
98491Barons4Barracuda5LXBoxScore
101503Lynx3Barons2LXBoxScore
103514Barons3Griffins5LBoxScore
104522Wombats4Barons2LBoxScore
107538Tomahawks4Barons7WBoxScore
108548Barons3Marlies4LBoxScore
111560Aces2Barons1LXXBoxScore
112570Barons6Aces1WBoxScore
114579Barons3Wranglers2WXBoxScore
116588Lions5Barons3LBoxScore
120606Barracuda4Barons2LBoxScore
122616Barons2Aces5LBoxScore
123627Canucks4Barons5WBoxScore
125634Barons4Barracuda5LBoxScore
127649Broncos6Barons4LBoxScore
131667Lions2Barons6WBoxScore
133676Barons6Firebirds4WBoxScore
136692Fighting Pandas2Barons3WXBoxScore
137697Barons6Firebirds4WBoxScore
140713Aces5Barons1LBoxScore
141718Barons0Canucks4LBoxScore
145734Firebirds4Barons3LBoxScore
147747Barons3Lions6LBoxScore
148756Barons2Wranglers4LBoxScore
149761Ice Bats6Barons5LBoxScore
152778Barons2Roadrunners1WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
154784Ice Bats4Barons6WBoxScore
157801Quacken2Barons1LBoxScore
160812Barons-Nordiks-
162823Broncos-Barons-
163830Barons-Tomahawks-
167844Wranglers-Barons-
168851Barons-Roadrunners-
171866Butter Knives-Barons-
174878Barons-Lions-
176887Wranglers-Barons-
177893Barons-Nordiks-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,490,917$ 1,200,000$ 1,200,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,200,000$ 1,049,350$ 18 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 21 9,444$ 198,324$




Barons 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

Barons Goalies Stat Leaders (Regular Season)

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

Barons 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

Barons 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

Barons Goalies Stat Leaders (Play-Off)

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