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Fighting Pandas
GP: 54 | W: 30 | L: 17 | OTL: 7 | P: 67
GF: 231 | GA: 185 | PP%: 23.53% | PK%: 80.30%
GM : Hunter Jones | Morale : 55 | Team Overall : 60
Next Games #589 vs Bruins

Game Center
Broncos
22-22-7, 51pts
1
FINAL
6 Fighting Pandas
30-17-7, 67pts
Team Stats
SOL1StreakSOW1
13-13-1Home Record12-8-6
9-9-6Home Record18-9-1
6-3-1Last 10 Games7-3-0
3.35Goals Per Game4.28
3.98Goals Against Per Game3.43
21.36%Power Play Percentage23.53%
63.74%Penalty Kill Percentage80.30%
Fighting Pandas
30-17-7, 67pts
3
FINAL
2 Broncos
22-22-7, 51pts
Team Stats
SOW1StreakSOL1
12-8-6Home Record13-13-1
18-9-1Home Record9-9-6
7-3-0Last 10 Games6-3-1
4.28Goals Per Game3.35
3.43Goals Against Per Game3.98
23.53%Power Play Percentage21.36%
80.30%Penalty Kill Percentage63.74%
Bruins
13-33-8, 34pts
Day 116
Fighting Pandas
30-17-7, 67pts
Team Stats
L2StreakSOW1
5-17-4Home Record12-8-6
8-16-4Away Record18-9-1
1-7-2Last 10 Games7-3-0
3.30Goals Per Game4.28
4.87Goals Against Per Game4.28
25.69%Power Play Percentage23.53%
74.48%Penalty Kill Percentage80.30%
Fighting Pandas
30-17-7, 67pts
Day 119
Butter Knives
24-23-4, 52pts
Team Stats
SOW1StreakW1
12-8-6Home Record14-10-3
18-9-1Away Record10-13-1
7-3-0Last 10 Games7-3-0
4.28Goals Per Game4.61
3.43Goals Against Per Game4.61
23.53%Power Play Percentage20.59%
80.30%Penalty Kill Percentage74.19%
Americiens
29-19-2, 60pts
Day 120
Fighting Pandas
30-17-7, 67pts
Team Stats
W2StreakSOW1
14-12-1Home Record12-8-6
15-7-1Away Record18-9-1
6-4-0Last 10 Games7-3-0
4.86Goals Per Game4.28
4.66Goals Against Per Game4.28
22.52%Power Play Percentage23.53%
72.36%Penalty Kill Percentage80.30%
Team Leaders
Connor BrownGoals
Connor Brown
32
Sean DurziAssists
Sean Durzi
45
Mackie SamoskevichPoints
Mackie Samoskevich
63
Alec MartinezPlus/Minus
Alec Martinez
26
Jakub DobesWins
Jakub Dobes
29
Cayden PrimeauSave Percentage
Cayden Primeau
0.897

Team Stats
Goals For
231
4.28 GFG
Shots For
1705
31.57 Avg
Power Play Percentage
23.5%
24 GF
Offensive Zone Start
38.6%
Goals Against
185
3.43 GAA
Shots Against
1695
31.39 Avg
Penalty Kill Percentage
80.3%%
26 GA
Defensive Zone Start
39.3%
Team Info

General ManagerHunter Jones
CoachPatrick Lalime
DivisionAtlantic
ConferenceEastern Conference
CaptainJeff Skinner
Assistant #1Ryker Evans
Assistant #2Keegan Kolesar


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team24
Farm Team20
Contract Limit44 / 50
Prospects28


Filter Tips
PriorityTypeDescription
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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
1Keegan Kolesar (A)X100.00857189687772927550676567506768082670282500,000$
2Mackie Samoskevich (R)XX99.00765590766573837450707060545760082660232500,000$
3Connor BrownX100.00535494676574927150676976517374082660322500,000$
4Jeff Skinner (C)XX100.006556896971728373576572605178760816603312,000,000$
5Radek FaksaX100.00785979657772826679655572617575082640323500,000$
6Cole KoepkeX100.00826292667469836850636365506666078630271500,000$
7Beck MalenstynX99.00826183637567865861595168506768081610272700,000$
8Alexander HoltzX100.00655690677269706150625359535860076590242500,000$
9Samuel Helenius (R)X100.00846990657463676064585559505859078590233750,000$
10Ivan Ivan (R)XX100.00545590656864625955575757505859046570232500,000$
11Ben JonesX100.00747499606661555250534959506463060550264500,000$
12Alec MartinezX100.00635792657474677350656371568783080660382700,000$
13Ryker Evans (A)X100.00785979687175877350705571566064081660242500,000$
14Sean DurziX100.006166776770756274506763735666690846502711,000,000$
15Kaedan KorczakX100.00725696627466646950655170656165055630242500,000$
16Declan ChisholmX100.00635691656871806850605468556465080630262500,000$
Scratches
1Arshdeep BainsX100.00645089576560535250505054506261024530252500,000$
2Matej BlümelX100.00515089577350515050505050506061020510254500,000$
3Georgii MerkulovX100.00503983576150535050505050505860020510251500,000$
4Samuel BolducX100.00503595588261585050504949556163031540252500,000$
5Ryan JohnsonX100.00504740577050545050505050556062020520241500,000$
TEAM AVERAGE99.9067578664716671635360576253656606360
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
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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")
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
1Jakub Dobes (R)100.0073687079756864696765876164041670243750,000$
2Cayden Primeau100.0050656176615453555050596161064570264500,000$
Scratches
1Devon Levi100.0050646071505050505050505656045530241500,000$
TEAM AVERAGE100.005866647562575658565565596005059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Patrick Lalime9090957070651CAN515500,000$


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
1Mackie SamoskevichFighting Pandas (OTT)C/RW5424396316215571011875312112.83%15114821.2625712820002683047.17%113200101.1022000471
2Connor BrownFighting Pandas (OTT)RW5432296114209912305114613.91%19102719.02371024800001480345.30%11700031.1924000702
3Keegan KolesarFighting Pandas (OTT)RW5428285621255116901694913216.57%13101018.7225713460000803049.79%24100001.1113001556
4Sean DurziFighting Pandas (OTT)D5484553262810825176266310.53%74124523.06178247700009831100.00%100000.8501101323
5Alec MartinezFighting Pandas (OTT)D5010425226220345681174512.35%60123124.633582475000184200%000000.8400000034
6Jeff SkinnerFighting Pandas (OTT)LW/RW54322052174050681956113116.41%11126623.45314258700031263151.61%9300020.8202000640
7Cole KoepkeFighting Pandas (OTT)LW54202848163958159143308813.99%6102719.0242617800000223148.28%8700000.9300010323
8Radek FaksaFighting Pandas (OTT)C541630462014010197118339513.56%894017.412351047000083262.29%100500000.9802000125
9Ryker EvansFighting Pandas (OTT)D545384316440148425225439.62%74130024.092461581000094000%000000.6600000026
10Beck MalenstynFighting Pandas (OTT)LW5413152824320856694317613.83%22100718.66000030000273250.93%10800000.5600000121
11Leo CarlssonOttawa SenatorsC/RW20916251000286174235912.16%647523.790338380000300152.85%61500001.0501000321
12Samuel HeleniusFighting Pandas (OTT)C541312257220698190276414.44%871313.2100000000013057.18%78700000.7000000003
13Alexander HoltzFighting Pandas (OTT)RW54617231610038419129706.59%998118.170004450001270044.23%10400000.4700000010
14Declan ChisholmFighting Pandas (OTT)D549142383401074449122218.37%7391917.02101514000028100%100000.5000000211
15Kaedan KorczakFighting Pandas (OTT)D322171982005725246198.33%3364620.22112944000065100%000000.5911000102
16Samuel BolducFighting Pandas (OTT)D290772401945170%1847016.2300002000029000%000000.3000000010
17Ivan IvanFighting Pandas (OTT)C/LW32156-200114191095.26%73019.4100000000020045.24%4200000.4000000000
18Ben JonesFighting Pandas (OTT)C29000-400010010%0642.22000020000100036.36%110000000000000
Team Total or Average8402284026302413212510829921697484119113.44%4561577718.782443671908120008855281153.48%434400150.80616112363438
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
1Jakub DobesFighting Pandas (OTT)54291750.8903.4330650117515860500.6005540210
2Cayden PrimeauFighting Pandas (OTT)20000.8973.16760043900000032000
Team Total or Average56291750.8903.42314101179162505055432210


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
Alec MartinezFighting Pandas (OTT)D381987-07-26USANo210 Lbs6 ft1NoNoTrade2025-03-05NoNo22024-08-21FalseFalsePro & Farm700,000$70,000$25,667$No700,000$--------700,000$--------No--------Link / NHL Link
Alexander HoltzFighting Pandas (OTT)RW242002-01-23SWENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Beck MalenstynFighting Pandas (OTT)LW271998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm700,000$70,000$25,667$No700,000$--------700,000$--------No--------Link / NHL Link
Ben JonesFighting Pandas (OTT)C261999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Cayden PrimeauFighting Pandas (OTT)G261999-08-11USANo205 Lbs6 ft3NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Cole KoepkeFighting Pandas (OTT)LW271998-05-17USANo207 Lbs6 ft1NoNoFree AgentNoNo12024-10-11FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Connor BrownFighting Pandas (OTT)RW321994-01-14CANNo184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Devon LeviFighting Pandas (OTT)G242001-12-27CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Georgii MerkulovFighting Pandas (OTT)C252000-10-10RUSNo176 Lbs5 ft11NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Ivan IvanFighting Pandas (OTT)C/LW232002-08-20CZEYes190 Lbs6 ft0NoNoFree AgentNoNo22025-08-09FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Jakub DobesFighting Pandas (OTT)G242001-05-27CZEYes215 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm750,000$75,000$27,500$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Jeff SkinnerFighting Pandas (OTT)LW/RW331992-05-16CANNo200 Lbs5 ft11NoNoTrade2024-08-25NoNo1FalseFalsePro & Farm2,000,000$200,000$73,333$No---------------------------Link / NHL Link
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo202 Lbs6 ft3NoNoTrade2025-08-04NoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Keegan KolesarFighting Pandas (OTT)RW281997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Mackie SamoskevichFighting Pandas (OTT)C/RW232002-11-15USAYes180 Lbs5 ft11NoNoTrade2025-08-04NoNo22024-08-10FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Matej BlümelFighting Pandas (OTT)RW252000-05-31CZENo205 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link
Radek FaksaFighting Pandas (OTT)C321994-01-09CZENo215 Lbs6 ft3NoNoN/ANoNo32024-08-19FalseFalsePro & Farm500,000$50,000$18,333$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Ryan JohnsonFighting Pandas (OTT)D242001-07-24USANo195 Lbs6 ft1NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$18,333$No---------------------------Link / NHL Link
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Samuel BolducFighting Pandas (OTT)D252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$18,333$No500,000$--------500,000$--------No--------Link / NHL Link
Samuel HeleniusFighting Pandas (OTT)C232002-11-26USAYes201 Lbs6 ft6NoNoFree AgentNoNo32025-08-10FalseFalsePro & Farm750,000$75,000$27,500$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Sean DurziFighting Pandas (OTT)D271998-10-21CANNo196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,000,000$100,000$36,667$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.46199 Lbs6 ft12.13620,833$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jeff SkinnerAlexander Holtz40122
2Cole KoepkeMackie SamoskevichConnor Brown30122
3Beck MalenstynRadek FaksaKeegan Kolesar20122
4Ivan IvanSamuel HeleniusMackie Samoskevich10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezRyker Evans40122
2Sean Durzi30122
3Declan ChisholmAlec Martinez20122
4Ryker EvansSean Durzi10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jeff SkinnerAlexander Holtz60122
2Cole KoepkeMackie SamoskevichConnor Brown40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezRyker Evans60122
2Sean Durzi40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jeff Skinner60122
2Mackie SamoskevichCole Koepke40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezRyker Evans60122
2Sean Durzi40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Alec MartinezRyker Evans60122
2Mackie Samoskevich40122Sean Durzi40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jeff Skinner60122
2Mackie SamoskevichCole Koepke40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Alec MartinezRyker Evans60122
2Sean Durzi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jeff SkinnerAlexander HoltzAlec MartinezRyker Evans
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jeff SkinnerConnor BrownAlec MartinezRyker Evans
Extra Forwards
Normal PowerPlayPenalty Kill
Mackie Samoskevich, Radek Faksa, Cole KoepkeMackie Samoskevich, Radek FaksaMackie Samoskevich
Extra Defensemen
Normal PowerPlayPenalty Kill
Sean Durzi, , Declan ChisholmSean DurziSean Durzi,
Penalty Shots
, Connor Brown, Keegan Kolesar, Jeff Skinner, Mackie Samoskevich
Goalie
#1 : Jakub Dobes, #2 : Cayden Primeau


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
1Aces1000010023-1000000000001000010023-110.50024600936471727578562550311434212150.00%2150.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
2Admirals31200000111011010000034-12110000086220.333111930009364717835785625503170181449200.00%60100.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
3Americiens21100000871110000005321010000034-120.50081523009364717705785625503174286504125.00%3166.67%0923169954.33%911173152.63%54097155.61%143010331155359690362
4Barons2010010069-31000010034-11010000035-210.250681400936471770578562550313513238300.00%10100.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
5Barracuda210001009811000010067-11100000031230.75091726009364717545785625503147168498337.50%4175.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
6Broncos632000102416811000000615522000101815380.6672440640093647171425785625503115542241174250.00%12375.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
7Bruins320010001385220000008441000100054161.0001322350193647179657856255031921943638225.00%12191.67%0923169954.33%911173152.63%54097155.61%143010331155359690362
8Butter Knives532000002419532100000161152110000088060.600244165009364717196578562550311926030958112.50%15380.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
9Canucks11000000431110000004310000000000021.0004711009364717335785625503127449300.00%2150.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
10Firebirds2100010011742100010011740000000000030.7501120310093647177057856255031791918513133.33%9188.89%0923169954.33%911173152.63%54097155.61%143010331155359690362
11Griffins220000001156110000007251100000043141.0001121320093647175857856255031792313373133.33%4175.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
12Ice Bats1100000010280000000000011000000102821.00010182800936471741578562550313057114250.00%110.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
13Lions220000001376110000006331100000074341.0001323360093647178257856255031701819495120.00%7271.43%0923169954.33%911173152.63%54097155.61%143010331155359690362
14Lynx330000001477110000007342200000074361.000142539009364717955785625503173191052400.00%3166.67%0923169954.33%911173152.63%54097155.61%143010331155359690362
15Marlies403000101220-830300000413-91000001087120.2501222340093647171085785625503111132287410330.00%12375.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
16Nordiks3110000118171201000011214-21100000063330.500183149009364717131578562550311454119778450.00%60100.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
17Quacken1010000013-2000000000001010000013-200.0001230093647172257856255031181216400.00%000%0923169954.33%911173152.63%54097155.61%143010331155359690362
18Roadrunners623000011317-43110000178-13120000069-350.4171322350093647171725785625503116742421211100.00%20575.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
19Tomahawks1000010034-11000010034-10000000000010.500347009364717325785625503153118222150.00%40100.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
20Wombats2200000013580000000000022000000135841.00013233600936471749578562550318118842400.00%30100.00%0923169954.33%911173152.63%54097155.61%143010331155359690362
21Wranglers2110000011831010000036-31100000082620.5001119300093647177457856255031832812462150.00%6183.33%0923169954.33%911173152.63%54097155.61%143010331155359690362
Total54271701522231185462612800402111971428159011201208832670.620231403634019364717170557856255031169546032110891022423.53%1322680.30%0923169954.33%911173152.63%54097155.61%143010331155359690362
_Since Last GM Reset54271701522231185462612800402111971428159011201208832670.620231403634019364717170557856255031169546032110891022423.53%1322680.30%0923169954.33%911173152.63%54097155.61%143010331155359690362
_Vs Conference3618130112114311627179600101675413199701020766214440.6111432493920193647171081578562550311094297223714581017.24%951881.05%0923169954.33%911173152.63%54097155.61%143010331155359690362
_Vs Division179601010716110106400000403467320101031274220.647711251960193647175655785625503154215811733434720.59%45980.00%0923169954.33%911173152.63%54097155.61%143010331155359690362

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5467SOW123140363417051695460321108901
All Games
GPWLOTWOTL SOWSOLGFGA
5427171522231185
Home Games
GPWLOTWOTL SOWSOLGFGA
26128040211197
Visitor Games
GPWLOTWOTL SOWSOLGFGA
28159112012088
Last 10 Games
WLOTWOTL SOWSOL
630010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1022423.53%1322680.30%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
578562550319364717
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
923169954.33%911173152.63%54097155.61%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
143010331155359690362


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
27Marlies6Fighting Pandas1LBoxScore
623Fighting Pandas3Americiens4LBoxScore
834Americiens3Fighting Pandas5WBoxScore
938Fighting Pandas2Broncos1WBoxScore
1254Bruins4Fighting Pandas5WBoxScore
1361Fighting Pandas3Broncos6LBoxScore
1674Butter Knives2Fighting Pandas7WBoxScore
1884Fighting Pandas5Bruins4WXBoxScore
2098Lynx3Fighting Pandas7WBoxScore
21105Fighting Pandas0Roadrunners3LBoxScore
25119Roadrunners1Fighting Pandas3WBoxScore
26125Fighting Pandas2Lynx1WBoxScore
29138Fighting Pandas3Broncos5LBoxScore
31147Marlies3Fighting Pandas0LBoxScore
32154Fighting Pandas8Marlies7WXXBoxScore
35169Firebirds2Fighting Pandas7WBoxScore
39184Tomahawks4Fighting Pandas3LXBoxScore
41193Fighting Pandas3Barracuda1WBoxScore
43201Fighting Pandas3Butter Knives5LBoxScore
45212Nordiks7Fighting Pandas6LXXBoxScore
48226Fighting Pandas7Broncos1WBoxScore
49234Nordiks7Fighting Pandas6LBoxScore
51249Barracuda7Fighting Pandas6LXBoxScore
53260Fighting Pandas7Lions4WBoxScore
55271Fighting Pandas8Wranglers2WBoxScore
56278Admirals4Fighting Pandas3LBoxScore
59293Firebirds5Fighting Pandas4LXBoxScore
61305Fighting Pandas2Roadrunners4LBoxScore
63315Wranglers6Fighting Pandas3LBoxScore
66325Fighting Pandas4Griffins3WBoxScore
68337Lions3Fighting Pandas6WBoxScore
70348Fighting Pandas2Aces3LXBoxScore
72358Fighting Pandas7Wombats1WBoxScore
74365Marlies4Fighting Pandas3LBoxScore
76380Barons4Fighting Pandas3LXBoxScore
78388Fighting Pandas10Ice Bats2WBoxScore
80401Griffins2Fighting Pandas7WBoxScore
82412Fighting Pandas4Roadrunners2WBoxScore
84424Canucks3Fighting Pandas4WBoxScore
85431Fighting Pandas1Quacken3LBoxScore
88442Fighting Pandas5Butter Knives3WBoxScore
90451Butter Knives3Fighting Pandas4WBoxScore
92461Fighting Pandas3Barons5LBoxScore
95471Roadrunners3Fighting Pandas2LXXBoxScore
97482Fighting Pandas6Nordiks3WBoxScore
99492Fighting Pandas6Admirals3WBoxScore
100501Bruins0Fighting Pandas3WBoxScore
102512Fighting Pandas5Lynx3WBoxScore
104523Butter Knives6Fighting Pandas5LBoxScore
107535Fighting Pandas2Admirals3LBoxScore
108544Roadrunners4Fighting Pandas2LBoxScore
110555Fighting Pandas6Wombats4WBoxScore
112567Broncos1Fighting Pandas6WBoxScore
114577Fighting Pandas3Broncos2WXXBoxScore
116589Bruins-Fighting Pandas-
119598Fighting Pandas-Butter Knives-
120608Americiens-Fighting Pandas-
122621Fighting Pandas-Lynx-
124632Lynx-Fighting Pandas-
126643Fighting Pandas-Americiens-
128652Marlies-Fighting Pandas-
130657Fighting Pandas-Canucks-
132673Quacken-Fighting Pandas-
133677Fighting Pandas-Tomahawks-
135686Fighting Pandas-Americiens-
136692Fighting Pandas-Barons-
138703Americiens-Fighting Pandas-
141719Fighting Pandas-Firebirds-
143725Wombats-Fighting Pandas-
146743Aces-Fighting Pandas-
147748Fighting Pandas-Bruins-
150765Admirals-Fighting Pandas-
Trade Deadline --- Trades can’t be done after this day is simulated!
154785Aces-Fighting Pandas-
158804Lynx-Fighting Pandas-
159809Fighting Pandas-Marlies-
162825Wombats-Fighting Pandas-
164834Fighting Pandas-Bruins-
167846Fighting Pandas-Marlies-
168854Fighting Pandas-Firebirds-
169858Ice Bats-Fighting Pandas-
173875Broncos-Fighting Pandas-
177892Ice Bats-Fighting Pandas-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,277,018$ 1,490,000$ 1,490,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,490,000$ 960,368$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 66 11,056$ 729,696$




Fighting Pandas 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

Fighting Pandas Goalies Stat Leaders (Regular Season)

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

Fighting Pandas 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

Fighting Pandas 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

Fighting Pandas Goalies Stat Leaders (Play-Off)

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