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

Caroline
GP: 32 | W: 9 | L: 20 | OTL: 3 | P: 21
GF: 124 | GA: 186 | PP%: 15.94% | PK%: 58.77%
GM : Olivier Pinho | Morale : 50 | Team Overall : 59
Next Games #532 vs Jayhawks

Game Center
Caroline
9-20-3, 21pts
3
FINAL
5 Phantoms
22-8-1, 45pts
Team Stats
W1StreakL1
6-9-2Home Record13-5-1
3-11-1Home Record9-3-0
3-7-0Last 10 Games7-3-0
3.88Goals Per Game4.77
5.81Goals Against Per Game3.52
15.94%Power Play Percentage44.87%
58.77%Penalty Kill Percentage83.58%
Phantoms
22-8-1, 45pts
4
FINAL
5 Caroline
9-20-3, 21pts
Team Stats
L1StreakW1
13-5-1Home Record6-9-2
9-3-0Home Record3-11-1
7-3-0Last 10 Games3-7-0
4.77Goals Per Game3.88
3.52Goals Against Per Game5.81
44.87%Power Play Percentage15.94%
83.58%Penalty Kill Percentage58.77%
Caroline
9-20-3, 21pts
2025-12-17
Jayhawks
8-22-1, 17pts
Team Stats
W1StreakW1
6-9-2Home Record4-13-1
3-11-1Away Record4-9-0
3-7-0Last 10 Games2-8-0
3.88Goals Per Game3.35
5.81Goals Against Per Game3.35
15.94%Power Play Percentage21.62%
58.77%Penalty Kill Percentage51.33%
Caroline
9-20-3, 21pts
2025-12-19
Cabaret Lady Mary Ann
10-20-1, 21pts
Team Stats
W1StreakL1
6-9-2Home Record4-13-1
3-11-1Away Record6-7-0
3-7-0Last 10 Games3-7-0
3.88Goals Per Game4.03
5.81Goals Against Per Game4.03
15.94%Power Play Percentage24.14%
58.77%Penalty Kill Percentage61.60%
Caroline
9-20-3, 21pts
2025-12-20
Thunder
9-18-5, 23pts
Team Stats
W1StreakL4
6-9-2Home Record5-5-5
3-11-1Away Record4-13-0
3-7-0Last 10 Games2-7-1
3.88Goals Per Game4.00
5.81Goals Against Per Game4.00
15.94%Power Play Percentage22.37%
58.77%Penalty Kill Percentage51.35%
Team Leaders

Team Stats
Goals For
124
3.88 GFG
Shots For
678
21.19 Avg
Power Play Percentage
15.9%
11 GF
Offensive Zone Start
28.1%
Goals Against
186
5.81 GAA
Shots Against
846
26.44 Avg
Penalty Kill Percentage
58.8%%
47 GA
Defensive Zone Start
32.1%
Team Info

General ManagerOlivier Pinho
DivisionWest
ConferenceOuest
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,941
Season Tickets300


Roster Info

Pro Team22
Farm Team19
Contract Limit41 / 50
Prospects16


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
Scratches
1Austin WatsonX100.0069715366747476664363626665876705066N0321620,000$
2Vinnie HinostrozaXX100.0061417773687977675264646368836905066N0302620,000$
3Alex Barré-BouletXX100.0062437073637369686265636668645205065N0272620,000$
4Nikolai Kovalenko (R)X100.0072407871687568674068646567525005065N0241620,000$
5Ben Jones (R)X100.0070487473717371665561606467605305064N0251620,000$
6Charles HudonXXX100.0058466369607171674565616466655605063N0301620,000$
7John LeonardX100.00614273706168676744636362675450050630262700,000$
8Kole Lind (R)X100.00585358696269676646656162665450050620251900,000$
9Pavol Regenda (R)X100.00624762617067656444625855615350050600241950,000$
10Antti Saarela (R)X100.00554167626257545440515154565150050540231620,000$
11Justin Janicke (R)X100.00373737373737373737373737373737050380213620,000$
12Patrice BergeronX100.001920202020181819201818201920200502203933,799,999$
13Matthew Kessel (R)X100.00634279728281696840646069675950050670241883,750$
14Dennis CholowskiX100.0056407870767673684066626567686105066N0262620,000$
15Gustav Lindström (R)X100.0066437270707470634059596964705405065N0251620,000$
16Logan Mailloux (R)X100.00665059667064626640636467655050050630212875,000$
17Ilya Solovyov (R)XHO6643686569656363406056686152500506202400$
18Robin SaloX100.00544271666462595939565061595350050590251700,000$
TEAM AVERAGE100.0059446464646663614358566061575105059
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
Scratches
1Ales Stezka100.0071666766686870666869635651050620271620,000$
2Henrik Tikkanen (R)100.0068636370676669666666575250050610242823,750$
3Carl Lindbom (R)100.0069606264656668646766575150050600213840,000$
4Ryan Fanti (R)100.0060545360575757555757505350050530251883,750$
TEAM AVERAGE100.006761616564646663656557535005059
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
Ales StezkaCaroline (Car)G271997-01-06CZENo203 Lbs6 ft5NoNoFree AgentYesYes12024-09-23FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Alex Barré-BouletCaroline (Car)C/RW271997-05-21CANNo181 Lbs5 ft10YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Link
Antti SaarelaCaroline (Car)C232001-06-27FINYes183 Lbs5 ft11NoNoFree AgentNoNo12024-09-06FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Austin WatsonCaroline (Car)LW321992-01-13USANo198 Lbs6 ft4YesNoFree Agent2024-01-19YesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Ben JonesCaroline (Car)C251999-02-26CANYes187 Lbs6 ft0YesNoFree AgentYesYes12025-09-21FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Carl LindbomCaroline (Car)G212003-05-20SWEYes183 Lbs6 ft1NoNoProspectNoNo32025-07-10FalseFalsePro & Farm840,000$0$0$No840,000$840,000$-------840,000$840,000$-------NoNo-------Link
Charles HudonCaroline (Car)C/LW/RW301994-06-23CANNo190 Lbs5 ft10YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Dennis CholowskiCaroline (Car)D261998-02-15CANNo210 Lbs6 ft2YesNoFree AgentYesYes22025-09-14FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Link
Gustav LindströmCaroline (Car)D251998-10-20SWEYes183 Lbs6 ft2YesNoFree AgentYesYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Henrik TikkanenCaroline (Car)G242000-09-28FINYes201 Lbs6 ft8NoNoProspectNoYes22024-06-25FalseFalsePro & Farm823,750$0$0$No823,750$--------823,750$--------No--------Link
Ilya SolovyovCaroline (Car)D242000-07-20BELYes207 Lbs6 ft3NoNoN/ANoYes0FalseFalsePro & Farm0$0$No---------------------------Link
John Leonard (1 Way Contract)Caroline (Car)LW261998-08-07USANo183 Lbs5 ft11NoNoFree AgentYesYes22025-08-28FalseFalsePro & Farm700,000$0$0$No700,000$--------700,000$--------No--------Link
Justin JanickeCaroline (Car)LW212003-06-30USAYes184 Lbs6 ft0NoNoProspectNoNo32025-07-10FalseFalsePro & Farm620,000$0$0$No620,000$620,000$-------620,000$620,000$-------NoNo-------Link
Kole LindCaroline (Car)RW251998-10-16CANYes179 Lbs6 ft1NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm900,000$0$0$No---------------------------Link
Logan MaillouxCaroline (Car)D212003-04-15CANYes212 Lbs6 ft3NoNoProspectNoNo22024-06-25FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link
Matthew KesselCaroline (Car)D242000-06-23USAYes205 Lbs6 ft2NoNoTrade2025-09-18NoYes1FalseFalsePro & Farm883,750$0$0$No---------------------------Link
Nikolai KovalenkoCaroline (Car)RW241999-10-17USAYes180 Lbs5 ft10YesNoFree AgentNoYes12025-09-28FalseFalsePro & Farm620,000$0$0$No---------------------------Link
Patrice Bergeron (1 Way Contract)Caroline (Car)C391985-07-24CANNo196 Lbs6 ft1NoNoAssign ManuallyYesYes32024-06-26FalseFalsePro & Farm3,799,999$2,879,999$1,850,362$No3,799,999$3,799,999$-------3,799,999$3,799,999$-------NoNo-------Link
Pavol RegendaCaroline (Car)LW241999-12-07SLVYes212 Lbs6 ft4NoNoTrade2025-09-18NoYes12024-09-28FalseFalsePro & Farm950,000$0$0$No---------------------------Link
Robin SaloCaroline (Car)D251998-10-13FINNo185 Lbs6 ft0NoNoFree AgentYesYes12024-09-06FalseFalsePro & Farm700,000$0$0$No---------------------------Link
Ryan FantiCaroline (Car)G251999-10-03CANYes194 Lbs6 ft3NoNoN/AYesYes1FalseFalsePro & Farm883,750$0$0$No---------------------------Link
Vinnie HinostrozaCaroline (Car)C/RW301994-04-03USANo183 Lbs5 ft10YesNoFree AgentYesYes22025-09-21FalseFalsePro & Farm620,000$0$0$No620,000$--------620,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2225.82193 Lbs6 ft11.50826,193$



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
1Admirals1000010056-1000000000001000010056-110.500510150031474512119422025412311189100.00%5180.00%020246543.44%20353138.23%28065742.62%765516633295533228
2Bears20100001711-41000000145-11010000036-310.25071320003147451481942202541252213128500.00%8275.00%020246543.44%20353138.23%28065742.62%765516633295533228
3Bruins2110000068-2000000000002110000068-220.50061117003147451451942202541268271828400.00%9277.78%120246543.44%20353138.23%28065742.62%765516633295533228
4Comets1010000039-61010000039-60000000000000.0003690031474512319422025412318818200.00%4250.00%020246543.44%20353138.23%28065742.62%765516633295533228
5Crunch220000001284110000008621100000042241.0001222340031474513719422025412289202512216.67%10460.00%020246543.44%20353138.23%28065742.62%765516633295533228
6Heat10001000651100010006510000000000021.0006121800314745128194220254123212810100.00%4325.00%020246543.44%20353138.23%28065742.62%765516633295533228
7Jayhawks11000000541110000005410000000000021.000591400314745122194220254121686153133.33%30100.00%020246543.44%20353138.23%28065742.62%765516633295533228
8Las Vegas220000001174110000005321100000064241.000112031003147451411942202541234124194125.00%2150.00%020246543.44%20353138.23%28065742.62%765516633295533228
9Marlies20200000916-71010000057-21010000049-500.000918270031474514819422025412571236235120.00%8625.00%020246543.44%20353138.23%28065742.62%765516633295533228
10Minnesota20200000612-61010000037-41010000035-200.00061117003147451311942202541232118203266.67%40100.00%020246543.44%20353138.23%28065742.62%765516633295533228
11Monarchs1010000045-1000000000001010000045-100.000481200314745116194220254121781210300.00%6350.00%120246543.44%20353138.23%28065742.62%765516633295533228
12Monsters1010000028-61010000028-60000000000000.00024600314745124194220254123910611100.00%3233.33%020246543.44%20353138.23%28065742.62%765516633295533228
13Monsters1010000025-3000000000001010000025-300.00024600314745113194220254122612418200.00%3166.67%020246543.44%20353138.23%28065742.62%765516633295533228
14Oceanics20200000617-111010000038-51010000039-600.00061218003147451411942202541272249316400.00%9455.56%020246543.44%20353138.23%28065742.62%765516633295533228
15Oil Kings1010000046-21010000046-20000000000000.000481200314745130194220254123078215400.00%10100.00%020246543.44%20353138.23%28065742.62%765516633295533228
16Phantoms311001001315-221000100101001010000035-230.5001326390031474516919422025412833122375120.00%11463.64%020246543.44%20353138.23%28065742.62%765516633295533228
17Sags20200000414-101010000016-51010000038-500.000481200314745138194220254125616132011100.00%4250.00%120246543.44%20353138.23%28065742.62%765516633295533228
18Sound Tigers11000000642110000006420000000000021.0006121800314745115194220254122428193266.67%4250.00%120246543.44%20353138.23%28065742.62%765516633295533228
19Spiders1010000024-21010000024-20000000000000.000246103147451171942202541239111013300.00%5180.00%020246543.44%20353138.23%28065742.62%765516633295533228
20Stars10100000411-70000000000010100000411-700.000481200314745125194220254123876718200.00%6516.67%020246543.44%20353138.23%28065742.62%765516633295533228
21Wolf Pack20200000711-41010000056-11010000025-300.00071421003147451461942202541241201014100.00%5260.00%020246543.44%20353138.23%28065742.62%765516633295533228
Total3282001201124186-621759011017298-2615311001005288-36210.32812424036410314745167819422025412846279511376691115.94%1144758.77%420246543.44%20353138.23%28065742.62%765516633295533228
_Since Last GM Reset3282001201124186-621759011017298-2615311001005288-36210.32812424036410314745167819422025412846279511376691115.94%1144758.77%420246543.44%20353138.23%28065742.62%765516633295533228
_Vs Conference1256010005367-14733010003440-6523000001927-8120.50053100153003147451250194220254122678624414833618.18%371656.76%020246543.44%20353138.23%28065742.62%765516633295533228

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3221W112424036467884627951137610
All Games
GPWLOTWOTL SOWSOLGFGA
328201201124186
Home Games
GPWLOTWOTL SOWSOLGFGA
175911017298
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1531101005288
Last 10 Games
WLOTWOTL SOWSOL
370000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
691115.94%1144758.77%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
194220254123147451
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20246543.44%20353138.23%28065742.62%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
765516633295533228


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 - 2025-10-0914Spiders4Caroline2LBoxScore
5 - 2025-10-1130Phantoms6Caroline5LXBoxScore
8 - 2025-10-1455Caroline3Sags8LBoxScore
10 - 2025-10-1670Caroline5Admirals6LXBoxScore
12 - 2025-10-1886Caroline4Monarchs5LBoxScore
14 - 2025-10-2097Caroline6Las Vegas4WBoxScore
17 - 2025-10-23121Caroline2Monsters5LBoxScore
19 - 2025-10-25138Caroline4Stars11LBoxScore
22 - 2025-10-28155Las Vegas3Caroline5WBoxScore
24 - 2025-10-30171Sound Tigers4Caroline6WBoxScore
26 - 2025-11-01181Caroline2Bruins5LBoxScore
29 - 2025-11-04206Caroline2Wolf Pack5LBoxScore
31 - 2025-11-06222Minnesota7Caroline3LBoxScore
33 - 2025-11-08238Crunch6Caroline8WBoxScore
34 - 2025-11-09246Caroline4Marlies9LBoxScore
36 - 2025-11-11259Bears5Caroline4LXXBoxScore
39 - 2025-11-14280Comets9Caroline3LBoxScore
40 - 2025-11-15289Oil Kings6Caroline4LBoxScore
42 - 2025-11-17301Caroline4Bruins3WBoxScore
44 - 2025-11-19317Caroline3Minnesota5LBoxScore
46 - 2025-11-21333Caroline3Oceanics9LBoxScore
48 - 2025-11-23347Caroline4Crunch2WBoxScore
51 - 2025-11-26368Wolf Pack6Caroline5LBoxScore
53 - 2025-11-28387Oceanics8Caroline3LBoxScore
55 - 2025-11-30404Heat5Caroline6WXBoxScore
59 - 2025-12-04431Marlies7Caroline5LBoxScore
61 - 2025-12-06447Jayhawks4Caroline5WBoxScore
62 - 2025-12-07455Sags6Caroline1LBoxScore
64 - 2025-12-09471Monsters8Caroline2LBoxScore
66 - 2025-12-11485Caroline3Bears6LBoxScore
68 - 2025-12-13501Caroline3Phantoms5LBoxScore
69 - 2025-12-14510Phantoms4Caroline5WBoxScore
72 - 2025-12-17532Caroline-Jayhawks-
74 - 2025-12-19544Caroline-Cabaret Lady Mary Ann-
75 - 2025-12-20557Caroline-Thunder-
78 - 2025-12-23581Cabaret Lady Mary Ann-Caroline-
82 - 2025-12-27593Cougars-Caroline-
84 - 2025-12-29608Wolf Pack-Caroline-
85 - 2025-12-30619Caroline-Manchots-
87 - 2026-01-01636Rocket-Caroline-
89 - 2026-01-03653Monsters-Caroline-
90 - 2026-01-04660Caroline-Spiders-
92 - 2026-01-06671Stars-Caroline-
94 - 2026-01-08688Admirals-Caroline-
96 - 2026-01-10706Firebirds-Caroline-
98 - 2026-01-12717Caroline-Cougars-
99 - 2026-01-13730Caroline-Chiefs-
102 - 2026-01-16750Cabaret Lady Mary Ann-Caroline-
103 - 2026-01-17759Caroline-Spiders-
105 - 2026-01-19770Crunch-Caroline-
108 - 2026-01-22796Baby Hawks-Caroline-
110 - 2026-01-24813Caroline-Senators-
115 - 2026-01-29851Roadrunners-Caroline-
117 - 2026-01-31864Caroline-Bears-
118 - 2026-02-01874Monarchs-Caroline-
120 - 2026-02-03890Senators-Caroline-
122 - 2026-02-05906Caroline-Wolf Pack-
143 - 2026-02-26923Thunder-Caroline-
145 - 2026-02-28942Cougars-Caroline-
147 - 2026-03-02957Caroline-Firebirds-
149 - 2026-03-04972Caroline-Comets-
151 - 2026-03-06986Caroline-Oil Kings-
152 - 2026-03-07998Caroline-Heat-
Trade Deadline --- Trades can’t be done after this day is simulated!
155 - 2026-03-101018Manchots-Caroline-
157 - 2026-03-121033Chiefs-Caroline-
159 - 2026-03-141049Caroline-Thunder-
162 - 2026-03-171070Caroline-Monsters-
163 - 2026-03-181078Manchots-Caroline-
165 - 2026-03-201094Caroline-Marlies-
167 - 2026-03-221112Caroline-Manchots-
169 - 2026-03-241121Caroline-Rocket-
173 - 2026-03-281157Spiders-Caroline-
174 - 2026-03-291169Rocket-Caroline-
176 - 2026-03-311185Caroline-Monsters-
178 - 2026-04-021197Monsters-Caroline-
180 - 2026-04-041214Sound Tigers-Caroline-
181 - 2026-04-051225Caroline-Senators-
183 - 2026-04-071237Bruins-Caroline-
185 - 2026-04-091255Caroline-Baby Hawks-
187 - 2026-04-111269Caroline-Roadrunners-
189 - 2026-04-131284Caroline-Phantoms-
190 - 2026-04-141293Caroline-Sound Tigers-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3212
Attendance33,35216,652
Attendance PCT98.09%97.95%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-14 2941 - 98.05% 89,442$1,520,506$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
496,125$ 1,367,625$ 1,367,625$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
7,086$ 496,125$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,146,597$ 124 7,086$ 878,664$




Caroline 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

Caroline Goalies Stat Leaders (Regular Season)

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

Caroline 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

Caroline 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

Caroline Goalies Stat Leaders (Play-Off)

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