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Fighting Pandas
GP: 82 | W: 47 | L: 25 | OTL: 10 | P: 104
GF: 355 | GA: 295 | PP%: 28.41% | PK%: 79.35%
GM : Hunter Jones | Morale : 63 | Team Overall : 60

Game Center
Broncos
35-33-14, 84pts
5
FINAL
4 Fighting Pandas
47-25-10, 104pts
Team Stats
W1StreakW1
19-19-3Home Record22-12-7
16-14-11Home Record25-13-3
4-4-2Last 10 Games6-3-1
3.67Goals Per Game4.33
4.13Goals Against Per Game3.60
26.54%Power Play Percentage28.41%
66.23%Penalty Kill Percentage79.35%
Ice Bats
30-39-13, 73pts
2
FINAL
4 Fighting Pandas
47-25-10, 104pts
Team Stats
L1StreakW1
15-20-6Home Record22-12-7
15-19-7Home Record25-13-3
4-5-1Last 10 Games6-3-1
4.23Goals Per Game4.33
4.96Goals Against Per Game3.60
26.74%Power Play Percentage28.41%
74.56%Penalty Kill Percentage79.35%
Team Leaders
Jeff SkinnerGoals
Jeff Skinner
52
Sean DurziAssists
Sean Durzi
82
Mackie SamoskevichPoints
Mackie Samoskevich
101
Cole KoepkePlus/Minus
Cole Koepke
29
Jakub DobesWins
Jakub Dobes
45
Cayden PrimeauSave Percentage
Cayden Primeau
0.904

Team Stats
Goals For
355
4.33 GFG
Shots For
2582
31.49 Avg
Power Play Percentage
28.4%
50 GF
Offensive Zone Start
38.6%
Goals Against
295
3.60 GAA
Shots Against
2530
30.85 Avg
Penalty Kill Percentage
79.3%%
38 GA
Defensive Zone Start
39.1%
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 Team25
Farm Team19
Contract Limit44 / 50
Prospects28


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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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
1Connor BrownX100.00525494676574927250696976517475083670322500,000$
2Keegan Kolesar (A)X100.00857189687772927550686665506869082670292500,000$
3Mackie Samoskevich (R)XX100.00765591766573837650707260545861082660232500,000$
4Jeff Skinner (C)XX100.006556896971728374576673605179770836603312,000,000$
5Radek FaksaX100.00785979657772826680665571617676082640323500,000$
6Cole KoepkeX100.00826292667469836850646465506767082640271500,000$
7Beck MalenstynX100.00836184637567865861605167506869081610282700,000$
8Alexander HoltzX100.00655690677269706150635358535961081590242500,000$
9Samuel Helenius (R)X100.00846990667563676064585558505960083590233750,000$
10Ivan Ivan (R)XX100.00535590666964625955565756505960062570232500,000$
11Ben JonesX100.00747499606661555250534959506463067550274500,000$
12Georgii MerkulovX100.00503983576150535050505050505860023510251500,000$
13Ryker Evans (A)X100.00785979687175877450705871566165082670242500,000$
14Alec MartinezX100.00635793647374677350656372568884082660382700,000$
15Sean DurziX100.006166776871756274506763735667700826502711,000,000$
16Kaedan KorczakX100.00725696627466646950655170656165062630242500,000$
17Declan ChisholmX100.00635692656871806850615468556566082630262500,000$
Scratches
1Andre Lee (R)X100.00706783587558545550545055506060050540252500,000$
2Arshdeep BainsX100.00645089576560535250505054506261020530252500,000$
3Matej BlümelX100.00515089577350515050505050506061020510254500,000$
4Samuel BolducX100.00503595588261585050504949556163019540252500,000$
5Ryan JohnsonX100.00504740577050545050505050556062020520241500,000$
TEAM AVERAGE100.0067578764716670635360576253656606460
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
1Jakub Dobes (R)100.0073687079756564676565876265028670243750,000$
2Cayden Primeau100.0050656176615453555050596161082570264500,000$
Scratches
1Devon Levi100.0050646071505050505050505656031530241500,000$
TEAM AVERAGE100.005866647562565657555565606104759
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/RW824358101213351001573127519713.78%24185622.6441014201270002925246.60%164800101.09330008131
2Sean DurziFighting Pandas (OTT)D82188210026341011189140459812.86%112196323.955182354139000014141100.00%100001.0202101544
3Connor BrownFighting Pandas (OTT)RW825145962840151223437723014.87%30155518.9771017441260001491448.37%15300041.23470001035
4Jeff SkinnerFighting Pandas (OTT)LW/RW825233851760779731510322616.51%17189623.1386144915100041796256.64%14300020.90140001171
5Alec MartinezFighting Pandas (OTT)D78156580272606091126267811.90%109197625.334913391170001119200%000000.8100000145
6Ryker EvansFighting Pandas (OTT)D82106575127002357790376611.11%122200324.4441014341240000121000%000000.7500000158
7Cole KoepkeFighting Pandas (OTT)LW8229457429455137882125913813.68%13160119.536511251270000384145.78%16600000.9200010424
8Keegan KolesarFighting Pandas (OTT)RW82363773162751511172326617815.52%15138216.8625715480000803149.03%25900001.0626001556
9Radek FaksaFighting Pandas (OTT)C82194665152401301411834913610.38%14146717.8923513540000114261.96%149300000.8915000136
10Alexander HoltzFighting Pandas (OTT)RW82133144191005661141491249.22%12151818.523710131080001270049.31%14400000.5800000031
11Beck MalenstynFighting Pandas (OTT)LW8216223820460156931203410313.33%36167320.41000030000294247.31%42700000.4500000124
12Samuel HeleniusFighting Pandas (OTT)C82181937-1375112136127309014.17%11111213.5600001000016057.44%121000000.6700010004
13Declan ChisholmFighting Pandas (OTT)D8212243634001366770223517.14%119147718.011129250000472050.00%200000.4900000311
14Leo CarlssonOttawa SenatorsC/RW20916251000286174235912.16%647523.790338380000300152.85%61500001.0501000321
15Kaedan KorczakFighting Pandas (OTT)D322171982005725246198.33%3364620.22112944000065100%000000.5911000102
16Ivan IvanFighting Pandas (OTT)C/LW605914-90032346172710.87%968211.3810111000021044.78%6700000.4100000000
17Samuel BolducFighting Pandas (OTT)D290772401945170%1847016.2300002000029000%000000.3000000010
18Ben JonesFighting Pandas (OTT)C29000-400010010%0642.22000020000100036.36%110000000000000
Team Total or Average123234862196923942630158314502560719181213.59%7002382619.344888136333124800091077431653.32%633900160.811229122545553
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)82452480.8823.6046034227623350600.60015820320
2Cayden PrimeauFighting Pandas (OTT)61100.9043.0323800121250101.0002060010
Team Total or Average88462580.8833.574842422882460070178260330


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$0$No700,000$--------700,000$--------No--------Link / NHL Link
Alexander HoltzFighting Pandas (OTT)RW242002-01-23SWENo198 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Andre LeeFighting Pandas (OTT)LW252000-07-26SWEYes206 Lbs6 ft5NoNoFree AgentNoNo22026-04-08FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Beck MalenstynFighting Pandas (OTT)LW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-21FalseFalsePro & Farm700,000$70,000$0$No700,000$--------700,000$--------No--------Link / NHL Link
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$0$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$0$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$0$No---------------------------Link / NHL Link
Connor BrownFighting Pandas (OTT)RW321994-01-14CANNo184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo190 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Devon LeviFighting Pandas (OTT)G242001-12-27CANNo192 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Georgii MerkulovFighting Pandas (OTT)C252000-10-10RUSNo176 Lbs5 ft11NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$0$No---------------------------Link / NHL Link
Ivan IvanFighting Pandas (OTT)C/LW232002-08-20CZEYes190 Lbs6 ft0NoNoFree AgentNoNo22025-08-09FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Jakub DobesFighting Pandas (OTT)G242001-05-27CZEYes215 Lbs6 ft4NoNoFree AgentNoNo32025-08-07FalseFalsePro & Farm750,000$75,000$0$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$0$No---------------------------Link / NHL Link
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo202 Lbs6 ft3NoNoTrade2025-08-04NoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$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$0$No500,000$--------500,000$--------No--------Link / NHL Link
Matej BlümelFighting Pandas (OTT)RW252000-05-31CZENo205 Lbs6 ft0NoNoFree AgentNoNo42025-07-25FalseFalsePro & Farm500,000$50,000$0$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$0$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$0$No---------------------------Link / NHL Link
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Samuel BolducFighting Pandas (OTT)D252000-12-09CANNo224 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$50,000$0$No500,000$--------500,000$--------No--------Link / NHL Link
Samuel HeleniusFighting Pandas (OTT)C232002-11-26USAYes201 Lbs6 ft6NoNoFree AgentNoNo32025-08-10FalseFalsePro & Farm750,000$75,000$0$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$0$No---------------------------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2526.52199 Lbs6 ft12.12616,000$



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
1Aces3110010089-1211000006601000010023-130.5008152300131112107138583686086451551585810330.00%4175.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
2Admirals4220000013112211000005502110000086240.500132336001311121071311083686086451862216616116.67%70100.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
3Americiens623001002530-53210000013121302001001218-650.417254570001311121071322483686086451251992013116637.50%10640.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
4Barons30100200812-41000010034-12010010058-320.33381119001311121071391836860864515820856300.00%40100.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
5Barracuda210001009811000010067-11100000031230.750917260013111210713548368608645147168498337.50%4175.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
6Broncos7320001128217210000011064522000101815390.64328487600131112107131798368608645117847281397457.14%14471.43%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
7Bruins6310101025214330000001376301010101214-2100.833254065011311121071317583686086451186386211815320.00%19384.21%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
8Canucks22000000963110000004311100000053241.00091625001311121071355836860864514998224125.00%4250.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
9Firebirds4300010024141021000100117422000000137670.87524446800131112107131328368608645113042248510440.00%12191.67%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
10Griffins220000001156110000007251100000043141.00011213200131112107135883686086451792313373133.33%4175.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
11Ice Bats330000002191222000000117411000000102861.0002139600013111210713108836860864511012313488450.00%4175.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
12Lions220000001376110000006331100000074341.00013233600131112107138283686086451701819495120.00%7271.43%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
13Lynx651000003321123210000020137330000001385100.83333639600131112107131988368608645115241201037114.29%8275.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
14Marlies714000202529-441300000813-5301000201716160.429254570011311121071317583686086451204484411820945.00%20480.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
15Nordiks3110000118171201000011214-21100000063330.5001831490013111210713131836860864511454119778450.00%60100.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
16Quacken21100000743110000006151010000013-220.50071219001311121071347836860864514178446233.33%30100.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
17Roadrunners623000011317-43110000178-13120000069-350.41713223500131112107131728368608645116742421211100.00%20575.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
18Rocket64200000282263210000016115321000001211180.66728487600131112107132288368608645122873341179111.11%17382.35%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
19Tomahawks20100100711-41000010034-11010000047-310.250710170013111210713828368608645179208446116.67%40100.00%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
20Wombats43100000191362110000068-222000000135860.7501935540013111210713122836860864511414216781200.00%7185.71%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
21Wranglers2110000011831010000036-31100000082620.50011193000131112107137483686086451832812462150.00%6183.33%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
Total8242250174335529560412212004031761472941201301340179148311040.6343556279820213111210713258283686086451253071443016011765028.41%1843879.35%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
_Since Last GM Reset8242250174335529560412212004031761472941201301340179148311040.6343556279820213111210713258283686086451253071443016011765028.41%1843879.35%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
_Vs Conference5628190124223319934271590010210990192913100114012410915700.6252334136460213111210713171583686086451172349430610711132925.66%1342978.36%01372255853.64%1367259152.76%808148154.56%2157155317685481051554
_Vs Division311511011301361231316106000007056141555011306667-1390.62913624137702131112107131000836860864511021299180587672029.85%741875.68%01372255853.64%1367259152.76%808148154.56%2157155317685481051554

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82104W135562798225822530714430160102
All Games
GPWLOTWOTL SOWSOLGFGA
8242251743355295
Home Games
GPWLOTWOTL SOWSOLGFGA
4122120403176147
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4120131340179148
Last 10 Games
WLOTWOTL SOWSOL
430021
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1765028.41%1843879.35%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8368608645113111210713
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1372255853.64%1367259152.76%808148154.56%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2157155317685481051554


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
1674Rocket2Fighting Pandas7WBoxScore
1884Fighting Pandas5Bruins4WXBoxScore
2098Lynx3Fighting Pandas7WBoxScore
21105Fighting Pandas0Roadrunners3LBoxScore
25119Roadrunners1Fighting Pandas3WBoxScore
26125Fighting Pandas2Lynx1WBoxScore
29138Fighting Pandas3Broncos5LBoxScore
31147Marlies3Fighting Pandas0LBoxScore
32154Fighting Pandas8Marlies7WXXBoxScore
35169Firebirds2Fighting Pandas7WBoxScore
39184Tomahawks4Fighting Pandas3LXBoxScore
41193Fighting Pandas3Barracuda1WBoxScore
43201Fighting Pandas3Rocket5LBoxScore
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 Pandas5Rocket3WBoxScore
90451Rocket3Fighting Pandas4WBoxScore
92461Fighting Pandas3Barons5LBoxScore
95471Roadrunners3Fighting Pandas2LXXBoxScore
97482Fighting Pandas6Nordiks3WBoxScore
99492Fighting Pandas6Admirals3WBoxScore
100501Bruins0Fighting Pandas3WBoxScore
102512Fighting Pandas5Lynx3WBoxScore
104523Rocket6Fighting Pandas5LBoxScore
107535Fighting Pandas2Admirals3LBoxScore
108544Roadrunners4Fighting Pandas2LBoxScore
110555Fighting Pandas6Wombats4WBoxScore
112567Broncos1Fighting Pandas6WBoxScore
114577Fighting Pandas3Broncos2WXXBoxScore
116589Bruins3Fighting Pandas5WBoxScore
119598Fighting Pandas4Rocket3WBoxScore
120608Americiens3Fighting Pandas5WBoxScore
122621Fighting Pandas6Lynx4WBoxScore
124632Lynx3Fighting Pandas7WBoxScore
126643Fighting Pandas6Americiens7LXBoxScore
128652Marlies0Fighting Pandas4WBoxScore
130657Fighting Pandas5Canucks3WBoxScore
132673Quacken1Fighting Pandas6WBoxScore
133677Fighting Pandas4Tomahawks7LBoxScore
135686Fighting Pandas3Americiens7LBoxScore
136692Fighting Pandas2Barons3LXBoxScore
138703Americiens6Fighting Pandas3LBoxScore
141719Fighting Pandas7Firebirds2WBoxScore
143725Wombats3Fighting Pandas5WBoxScore
146743Aces3Fighting Pandas0LBoxScore
147748Fighting Pandas2Bruins6LBoxScore
150765Admirals1Fighting Pandas2WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
154785Aces3Fighting Pandas6WBoxScore
158804Lynx7Fighting Pandas6LBoxScore
159809Fighting Pandas4Marlies5LBoxScore
162825Wombats5Fighting Pandas1LBoxScore
164834Fighting Pandas5Bruins4WXXBoxScore
167846Fighting Pandas5Marlies4WXXBoxScore
168854Fighting Pandas6Firebirds5WBoxScore
169858Ice Bats5Fighting Pandas7WBoxScore
173875Broncos5Fighting Pandas4LXXBoxScore
177892Ice Bats2Fighting Pandas4WBoxScore



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
0 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,006,714$ 1,540,000$ 1,540,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,540,000$ 1,506,716$ 25 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,333$ 0$




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