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Fighting Pandas
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Hunter Jones | Morale : 50 | Team Overall : 58

Team Leaders

Team Stats
Team Info

General ManagerHunter Jones
CoachPatrick Lalime
DivisionAtlantic
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team25
Farm Team20
Contract Limit45 / 50
Prospects22


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 PTCK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Radek FaksaX100.00755785687869737171675077507677047650322500,000$
2Mackie SamoskevichX100.00755780736375887050676360515861047640231500,000$
3Beck MalenstynX100.00876288657569906250595576506770050640281700,000$
4Keegan KolesarX100.00866687657769916350625364506967047620291500,000$
5Stephen HallidayX100.00695595677761576852645958506062050600242500,000$
6Samuel HeleniusX100.00846989668262686761595659505959047600232750,000$
7Alexander HoltzX100.00685785637067576350635658526061047580241500,000$
8Ben JonesX100.00755099626662565868575059506765047570273500,000$
9Arshdeep BainsX100.00655778646562576150605059506262047570251500,000$
10Michael Brandsegg-Nygard (R)X100.00765592787364545350535053505556050560204500,000$
11Andre LeeX100.00615089517650515550505050506463047520261500,000$
12Charle-Edouard D'AstousX100.00746752667674847250695567596969050660282500,000$
13Sean DurziX100.00656076697075777350715567556768047650273750,000$
14Kaedan KorczakX100.00735983627469896750605068556465047640241500,000$
15Ryker EvansX100.00666072646972816750585971566265047640241500,000$
16Axel Sandin-Pellikka (R)X100.00555786706670826950625766565659050620214500,000$
17Vincent IorioX100.00636077607967596350555069556064047610233500,000$
18Declan ChisholmX100.00605791617363586750625064556565047600261500,000$
Scratches
1Ivan IvanX100.00505688576750515050505050506060047510231500,000$
2Georgii MerkulovX100.00503589576150515050505050506261047510251500,000$
3Taylor MakarX100.00555783576850515050505050506261050510251500,000$
4Oliver BonkX100.00503594576450536150615050585769047530214500,000$
5Ryan JohnsonX100.00504367577050505050505050556364047520252500,000$
6Jake LivanavageX100.00503594576755565050505050555860050520221500,000$
TEAM AVERAGE100.0066558463716366625259536053636404859
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 PTSK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Cayden Primeau100.0050615976505050505050506767047550263500,000$
Scratches
TEAM AVERAGE100.005061597650505050505050676704755
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$50,000$No---------------------------Link / NHL Link
Andre LeeFighting Pandas (OTT)LW262000-07-26CANNo210 Lbs6 ft4NoNoFree AgentNoNo12026-04-08FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Arshdeep BainsFighting Pandas (OTT)LW252001-01-09CANNo184 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Axel Sandin-PellikkaFighting Pandas (OTT)D212005-03-11CANYes186 Lbs6 ft0NoNoProspectNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$---------------NoNoNo------Link
Beck MalenstynOttawa SenatorsLW281998-02-04CANNo209 Lbs6 ft3NoNoAssign ManuallyNoNo12024-08-21FalseFalsePro & Farm700,000$700,000$700,000$No---------------------------Link / NHL Link
Ben JonesFighting Pandas (OTT)C271999-02-26CANNo187 Lbs6 ft0NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link / NHL Link
Cayden PrimeauFighting Pandas (OTT)G261999-08-11CANNo205 Lbs6 ft3NoNoFree AgentNoNo32025-07-25FalseFalsePro & Farm500,000$50,000$50,000$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$50,000$No500,000$--------500,000$--------No--------Link
Declan ChisholmFighting Pandas (OTT)D262000-01-12CANNo205 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Georgii MerkulovFighting Pandas (OTT)C252000-10-10CANNo174 Lbs5 ft11NoNoFree AgentNoNo12026-07-03FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Ivan IvanFighting Pandas (OTT)C232002-08-20CANNo190 Lbs6 ft0NoNoFree AgentNoNo12025-08-09FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Jake LivanavageFighting Pandas (OTT)D222004-05-06CANNo190 Lbs5 ft11NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link
Kaedan KorczakFighting Pandas (OTT)D242002-01-18CANNo206 Lbs6 ft3NoNoTrade2025-08-04NoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Keegan KolesarFighting Pandas (OTT)RW291997-04-08CANNo216 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Mackie SamoskevichFighting Pandas (OTT)RW232002-11-15CANNo180 Lbs5 ft11NoNoTrade2025-08-04NoNo12024-08-10FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Michael Brandsegg-NygardFighting Pandas (OTT)RW202005-10-05CANYes204 Lbs6 ft1NoNoDraftNoNo42026-06-30FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$500,000$---------------NoNoNo------Link
Oliver BonkFighting Pandas (OTT)D212005-01-09CANNo180 Lbs6 ft2NoNoFree AgentNoNo42026-06-27FalseFalsePro & Farm500,000$50,000$50,000$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$50,000$No500,000$--------500,000$--------No--------Link / NHL Link
Ryan JohnsonFighting Pandas (OTT)D252001-07-24CANNo195 Lbs6 ft1NoNoFree AgentNoNo22026-06-27FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Link / NHL Link
Ryker EvansFighting Pandas (OTT)D242001-12-13CANNo195 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link / NHL Link
Samuel HeleniusFighting Pandas (OTT)C232002-11-26CANNo225 Lbs6 ft6NoNoFree AgentNoNo22025-08-10FalseFalsePro & Farm750,000$75,000$75,000$No750,000$--------750,000$--------No--------Link / NHL Link
Sean DurziFighting Pandas (OTT)D271998-10-21CANNo196 Lbs6 ft1NoNoFree AgentNoNo32026-07-03FalseFalsePro & Farm750,000$75,000$75,000$No750,000$750,000$-------750,000$750,000$-------NoNo-------Link / NHL Link
Stephen HallidayFighting Pandas (OTT)C242002-07-02CANNo214 Lbs6 ft4NoNoFree AgentNoNo22026-07-03FalseFalsePro & Farm500,000$50,000$50,000$No500,000$--------500,000$--------No--------Link
Taylor MakarFighting Pandas (OTT)LW252001-03-13CANNo190 Lbs6 ft3NoNoFree AgentNoNo12026-07-22FalseFalsePro & Farm500,000$50,000$50,000$No---------------------------Link
Vincent IorioFighting Pandas (OTT)D232002-11-14CANNo220 Lbs6 ft4NoNoFree AgentNoNo32026-06-27FalseFalsePro & Farm500,000$50,000$50,000$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2524.84199 Lbs6 ft21.88528,000$



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
Total00000000000000000000000000000000000.000000000000000000000000%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000%000%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000%000%000%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4020
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
41 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 1,250,000$ 1,250,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 24 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 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