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Fighting Pandas
GP: 9 | W: 5 | L: 3 | OTL: 1 | P: 11
GF: 40 | GA: 43 | PP%: 10.00% | PK%: 70.00%
GM : Hunter Jones | Morale : 52 | Team Overall : 58
Next Games #104 vs Laval Rocket

Game Center
Broncos
7-2-1, 15pts
5
FINAL
6 Fighting Pandas
5-3-1, 11pts
Team Stats
L1StreakOTW2
4-0-0Home Record3-1-0
3-2-1Home Record2-2-1
7-2-1Last 10 Games5-3-1
4.80Goals Per Game4.44
3.40Goals Against Per Game4.78
35.71%Power Play Percentage10.00%
90.48%Penalty Kill Percentage70.00%
Fighting Pandas
5-3-1, 11pts
4
FINAL
3 Americiens
1-5-3, 5pts
Team Stats
OTW2StreakL1
3-1-0Home Record0-1-3
2-2-1Home Record1-4-0
5-3-1Last 10 Games1-5-3
4.44Goals Per Game3.11
4.78Goals Against Per Game3.89
10.00%Power Play Percentage19.23%
70.00%Penalty Kill Percentage90.91%
Fighting Pandas
5-3-1, 11pts
Day 19
Laval Rocket
4-4-0, 8pts
Team Stats
OTW2StreakOTW1
3-1-0Home Record3-1-0
2-2-1Away Record1-3-0
5-3-1Last 10 Games4-4-0
4.44Goals Per Game4.38
4.78Goals Against Per Game4.38
10.00%Power Play Percentage9.52%
70.00%Penalty Kill Percentage67.86%
Lynx
5-3-0, 10pts
Day 21
Fighting Pandas
5-3-1, 11pts
Team Stats
L3StreakOTW2
2-2-0Home Record3-1-0
3-1-0Away Record2-2-1
5-3-0Last 10 Games5-3-1
3.88Goals Per Game4.44
4.00Goals Against Per Game4.44
41.18%Power Play Percentage10.00%
75.00%Penalty Kill Percentage70.00%
Bruins
4-3-1, 9pts
Day 25
Fighting Pandas
5-3-1, 11pts
Team Stats
OTL1StreakOTW2
2-2-0Home Record3-1-0
2-1-1Away Record2-2-1
4-3-1Last 10 Games5-3-1
3.88Goals Per Game4.44
3.75Goals Against Per Game4.44
27.27%Power Play Percentage10.00%
76.92%Penalty Kill Percentage70.00%
Team Leaders

Team Stats
Goals For
40
4.44 GFG
Shots For
407
45.22 Avg
Power Play Percentage
10.0%
2 GF
Offensive Zone Start
41.5%
Goals Against
43
4.78 GAA
Shots Against
367
40.78 Avg
Penalty Kill Percentage
70.0%%
9 GA
Defensive Zone Start
37.7%
Team Info

General ManagerHunter Jones
CoachPatrick Lalime
DivisionAtlantic
ConferenceEastern Conference
CaptainCharle-Edouard D'Astous
Assistant #1Michael Brandsegg-Nygard
Assistant #2Kaedan Korczak


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team25
Farm Team19
Contract Limit44 / 50
Prospects24


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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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
1Radek FaksaX100.00755785687869737171675077507677052650322500,000$
2Mackie SamoskevichX100.00755780736375887050676360515861052640231500,000$
3Beck MalenstynX100.00876288657569906250595576506770052640281700,000$
4Keegan KolesarX100.00866687657769916350625364506967052620291500,000$
5Stephen HallidayX100.00695595677761576852645958506062052600242500,000$
6Samuel HeleniusX100.00846989668262686761595659505959052600232750,000$
7Alexander HoltzX100.00685785637067576350635658526061052580241500,000$
8Ben JonesX100.00755099626662565868575059506765052570273500,000$
9Arshdeep BainsX100.00655778646562576150605059506262052570251500,000$
10Michael Brandsegg-Nygard (R) (A)X100.00765592787364545350535053505556052560214500,000$
11Charle-Edouard D'Astous (C)X100.00746752667674847250695567596969052660282500,000$
12Kaedan Korczak (A)X100.00735983627469896750605068556465052640241500,000$
13Ryker EvansX100.00666072646972816750585971566265052640241500,000$
14Axel Sandin-Pellikka (R)X100.00555786706670826950625766565659052620214500,000$
15Vincent IorioX100.00636077607967596350555069556064052610233500,000$
16Declan ChisholmX100.00605791617363586750625064556565052600261500,000$
17Jake LivanavageX100.00503594576755565050505050555860052520221500,000$
Scratches
1Andre LeeX100.00615089517650515550505050506463041520261500,000$
2Ivan IvanX100.00505688576750515050505050506060041510241500,000$
3Georgii MerkulovX100.00503589576150515050505050506261041510261500,000$
4Taylor MakarX100.00555783576850515050505050506261041510251500,000$
5Oliver BonkX100.00503594576450536150615050585769041530214500,000$
6Ryan JohnsonX100.00504367577050505050505050556364041520252500,000$
TEAM AVERAGE100.0066558463716266615258536052626404958
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.
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
1Marcus Hogberg100.0050605983525350505050507474054570311500,000$
2Cayden Primeau100.0050615976505050505050506767054550273500,000$
Scratches
TEAM AVERAGE100.005061598051525050505050717105456
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Patrick Lalime9090957070651CAN524500,000$


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
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
Alexander HoltzFighting Pandas (OTT)RW242002-01-23CANNo198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Andre LeeFighting Pandas (OTT)LW262000-07-26CANNo210 Lbs6 ft4NoNoFree AgentNoNo12026-04-08FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Axel Sandin-PellikkaFighting Pandas (OTT)D212005-03-11CANYes186 Lbs6 ft0NoNoProspectNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Link
Beck MalenstynFighting Pandas (OTT)LW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-21FalseFalsePro & Farm700,000$70,000$63,571$No---------------------------Link / NHL Link
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Cayden PrimeauFighting Pandas (OTT)G271999-08-11CANNo205 Lbs6 ft3NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Charle-Edouard D'AstousFighting Pandas (OTT)D281998-04-21CANNo211 Lbs6 ft2NoNoFree AgentNoNo22026-07-04FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Georgii MerkulovFighting Pandas (OTT)C262000-10-10CANNo174 Lbs5 ft11NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Ivan IvanFighting Pandas (OTT)C242002-08-20CANNo190 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Jake LivanavageFighting Pandas (OTT)D222004-05-06CANNo190 Lbs5 ft11NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo206 Lbs6 ft3NoNoTrade2025-08-04NoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Mackie SamoskevichFighting Pandas (OTT)RW232002-11-15CANNo180 Lbs5 ft11NoNoTrade2025-08-04NoNo12024-08-10FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Marcus HogbergFighting Pandas (OTT)G311994-11-25CANNo232 Lbs6 ft5NoNoFree AgentNoNo12026-08-02FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Michael Brandsegg-NygardFighting Pandas (OTT)RW212005-10-05CANYes204 Lbs6 ft1NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$---------------NoNoNo------Link
Oliver BonkFighting Pandas (OTT)D212005-01-09CANNo180 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link
Radek FaksaFighting Pandas (OTT)C321994-01-09CANNo216 Lbs6 ft3NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Ryan JohnsonFighting Pandas (OTT)D252001-07-24CANNo195 Lbs6 ft1NoNoFree AgentNoNo22026-06-27FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link / NHL Link
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link / NHL Link
Samuel HeleniusFighting Pandas (OTT)C232002-11-26CANNo225 Lbs6 ft6NoNoFree AgentNoNo22025-08-10FalseFalsePro & Farm750,000$75,000$68,112$No750,000$--------750,000$--------No--------Link / NHL Link
Stephen HallidayFighting Pandas (OTT)C242002-07-02CANNo214 Lbs6 ft4NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm500,000$50,000$45,408$No500,000$--------500,000$--------No--------Link
Taylor MakarFighting Pandas (OTT)LW252001-03-13CANNo190 Lbs6 ft3NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$45,408$No---------------------------Link
Vincent IorioFighting Pandas (OTT)D232002-11-14CANNo220 Lbs6 ft4NoNoFree AgentNoNo32026-06-27FalseFalsePro & Farm500,000$50,000$45,408$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.16201 Lbs6 ft21.80518,000$



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
1Americiens21001000752110000003211000100043141.000714210015131031051171281502068201045400.00%5260.00%015434544.64%15631449.68%7517343.35%1901312456811251
2Broncos10001000651100010006510000000000021.0006121800151310341117128150203751121300.00%3166.67%015434544.64%15631449.68%7517343.35%1901312456811251
3Bruins20100001712-50000000000020100001712-510.25071320001513103911171281502076162631600.00%7271.43%015434544.64%15631449.68%7517343.35%1901312456811251
4Laval Rocket11000000862110000008620000000000021.00081523001513103511171281502067710302150.00%5180.00%015434544.64%15631449.68%7517343.35%1901312456811251
5Lynx11000000633000000000001100000063321.000611170015131034411712815020337816000%4250.00%015434544.64%15631449.68%7517343.35%1901312456811251
6Marlies1010000035-21010000035-20000000000000.00036900151310334117128150203274273133.33%20100.00%015434544.64%15631449.68%7517343.35%1901312456811251
7Wombats1010000037-4000000000001010000037-400.00036900151310341117128150205416815200.00%4175.00%015434544.64%15631449.68%7517343.35%1901312456811251
Total933020014043-34210100020182512010012025-5110.611407711700151310340711712815020367787718520210.00%30970.00%015434544.64%15631449.68%7517343.35%1901312456811251
_Since Last GM Reset933020014043-34210100020182512010012025-5110.611407711700151310340711712815020367787718520210.00%30970.00%015434544.64%15631449.68%7517343.35%1901312456811251
_Vs Conference933020014043-34210100020182512010012025-5110.611407711700151310340711712815020367787718520210.00%30970.00%015434544.64%15631449.68%7517343.35%1901312456811251
_Vs Division73201001313103210000014131411010011718-190.64331599000151310332511712815020276575814915213.33%23769.57%015434544.64%15631449.68%7517343.35%1901312456811251

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
911OTW24077117407367787718500
All Games
GPWLOTWOTL SOWSOLGFGA
93320014043
Home Games
GPWLOTWOTL SOWSOLGFGA
42110002018
Visitor Games
GPWLOTWOTL SOWSOLGFGA
51210012025
Last 10 Games
WLOTWOTL SOWSOL
332001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
20210.00%30970.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
117128150201513103
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
15434544.64%15631449.68%7517343.35%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1901312456811251


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
15Fighting Pandas5Bruins6LXXBoxScore
313Fighting Pandas3Wombats7LBoxScore
421Americiens2Fighting Pandas3WBoxScore
738Marlies5Fighting Pandas3LBoxScore
953Laval Rocket6Fighting Pandas8WBoxScore
1164Fighting Pandas2Bruins6LBoxScore
1268Fighting Pandas6Lynx3WBoxScore
1584Broncos5Fighting Pandas6WXBoxScore
1688Fighting Pandas4Americiens3WXBoxScore
19104Fighting Pandas-Laval Rocket-
21117Lynx-Fighting Pandas-
25135Bruins-Fighting Pandas-
27146Fighting Pandas-Marlies-
29158Firebirds-Fighting Pandas-
32171Fighting Pandas-Lynx-
33182Marlies-Fighting Pandas-
36194Fighting Pandas-Wombats-
38203Fighting Pandas-Wranglers-
40212Newfoundland Regiment-Fighting Pandas-
43229Laval Rocket-Fighting Pandas-
46243Fighting Pandas-Tomahawks-
49255Firebirds-Fighting Pandas-
51269Fighting Pandas-Griffins-
53279Fighting Pandas-Quacken-
54285Orlando Solar Bears-Fighting Pandas-
57301Laval Rocket-Fighting Pandas-
59310Fighting Pandas-Ice Bats-
61324Fighting Pandas-Canucks-
62332Orlando Solar Bears-Fighting Pandas-
65343Fighting Pandas-Lions-
66355Lions-Fighting Pandas-
69370Fighting Pandas-Barracuda-
70380Canucks-Fighting Pandas-
72390Fighting Pandas-Newfoundland Regiment-
75403Admirals-Fighting Pandas-
77418Broncos-Fighting Pandas-
79425Fighting Pandas-Orlando Solar Bears-
81436Fighting Pandas-Lynx-
83446Fighting Pandas-Roadrunners-
85455Wranglers-Fighting Pandas-
87468Fighting Pandas-Laval Rocket-
89478Wranglers-Fighting Pandas-
91487Fighting Pandas-Firebirds-
93497Fighting Pandas-Wranglers-
94504Quacken-Fighting Pandas-
97523Fighting Pandas-Firebirds-
98528Nordiks-Fighting Pandas-
102546Fighting Pandas-Bruins-
103551Tomahawks-Fighting Pandas-
106564Fighting Pandas-Orlando Solar Bears-
108573Fighting Pandas-Broncos-
109576Barracuda-Fighting Pandas-
112594Fighting Pandas-Aces-
113599Barons-Fighting Pandas-
116621Fighting Pandas-Broncos-
117624Admirals-Fighting Pandas-
120641Fighting Pandas-Americiens-
121648Wombats-Fighting Pandas-
126671Marlies-Fighting Pandas-
128686Fighting Pandas-Americiens-
130696Griffins-Fighting Pandas-
132703Fighting Pandas-Nordiks-
135719Griffins-Fighting Pandas-
137725Fighting Pandas-Griffins-
140739Fighting Pandas-Bruins-
141745Wombats-Fighting Pandas-
145767Bruins-Fighting Pandas-
149783Fighting Pandas-Marlies-
150791Broncos-Fighting Pandas-
153805Fighting Pandas-Marlies-
155815Aces-Fighting Pandas-
160838Americiens-Fighting Pandas-
162850Fighting Pandas-Wombats-
164861Americiens-Fighting Pandas-
168883Roadrunners-Fighting Pandas-
171895Fighting Pandas-Laval Rocket-
173905Roadrunners-Fighting Pandas-
175920Fighting Pandas-Admirals-
177931Lynx-Fighting Pandas-
178937Fighting Pandas-Admirals-
182954Bruins-Fighting Pandas-
186976Ice Bats-Fighting Pandas-
192995Lynx-Fighting Pandas-
1941007Fighting Pandas-Barons-



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
38 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
164,844$ 1,295,000$ 1,295,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,295,000$ 118,926$ 25 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 178 9,158$ 1,630,124$




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