Firebirds

GP: 3 | W: 0 | L: 3 | OTL: 0 | P: 0
GF: 3 | GA: 14 | PP%: 0.00% | PK%: 75.00%
GM : Thomas Perron-Bibeau | Morale : 50 | Team Overall : 61
Next Games #71 vs Marlies

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# 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 SP
1Ivan Miroshnichenko (R)0XX100.007137916774807264586259616360658450630
2Nikita Chibrikov (R)0XX100.007837766564837364626163606662637250620
3Justin Sourdif0X100.006639736468848062596157586062646650610
4Greg McKegg0XXX100.006443726073728458676055635672744150610
5Brett Harrison (R)0X100.006837955977746857646054565561636450590
6Eetu Liukas (R)0X100.007541775684756855525454575362644950580
7Ty Tullio0X100.006337855763808256605758535662645950580
8Roni Hirvonen (R)0X100.005736935966796658635557545962656950580
9Josh Bloom0X100.006837955477696153505251555361636550560
10Pavel Novak (R)0X100.006337855763816154555256515462645650560
11Kevin Korchinski (R)0X100.005835926774907465306659635159618950640
12Lukas Cormier0X100.006037806669868364306557585062646750630
13Nikita Novikov (R)0X100.007441795983637156306053584661634950610
14Valtteri Pulli0X100.008541895394637052305453594563654450610
15Peetro Seppala0X100.007039835779638255305652544564664350600
16Corson Ceulemans0X100.007139915880647057305553564661638150590
17Ronan Seeley0X100.006137945670688454305753554662644950590
18Mattias Norlinder0X100.006238885771678256305553544564666550590
Scratches
TEAM AVERAGE100.00673885607475745846585557536265625060
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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)
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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")
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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 SP
1Strauss Mann100.00667672706564666564666566754250660
Scratches
TEAM AVERAGE100.0066767270656466656466656675425066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Ryan Huska78778076736877CAN4981,000,000$


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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")
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# 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
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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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# Goalie Name Team NameGP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA ST BG S1 S2 S3


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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")
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8*Wildcard for zero or more non-space characters.
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Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Brett HarrisonLW212003-06-07Yes182 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Corson CeulemansD212003-05-05No198 Lbs6 ft2NoNoNo3ELCPro & Farm900,000$0$0$NoLink / NHL Link
Eetu LiukasLW212002-09-25Yes205 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Greg McKeggC/LW/RW321992-06-17No195 Lbs6 ft0NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ivan MiroshnichenkoLW/RW202004-02-04Yes185 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Josh BloomLW212003-06-08No182 Lbs6 ft2NoNoNo4ELCPro & Farm300,000$0$0$NoLink / NHL Link
Justin SourdifRW222002-03-24No180 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Kevin KorchinskiD202004-06-21Yes185 Lbs6 ft1NoNoNo4ELCPro & Farm900,000$0$0$NoNHL Link
Lukas CormierD222002-03-27No185 Lbs5 ft11NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Mattias NorlinderD242000-04-12No185 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Nikita ChibrikovLW/RW212003-02-16Yes170 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Nikita NovikovD212003-07-25Yes196 Lbs6 ft3NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Pavel NovakRW222002-04-16Yes170 Lbs5 ft9NoNoNo4ELCPro & Farm300,000$0$0$NoNHL Link
Peetro SeppalaD242000-08-17No192 Lbs6 ft2NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ronan SeeleyD222002-08-02No176 Lbs6 ft0NoNoNo3ELCPro & Farm300,000$0$0$NoLink / NHL Link
Roni HirvonenC222002-01-10Yes178 Lbs5 ft10NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Strauss MannG261998-08-18No175 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Ty TullioRW222002-04-05No165 Lbs5 ft10NoNoNo3ELCPro & Farm500,000$0$0$NoLink / NHL Link
Valtteri PulliD232001-03-13No209 Lbs6 ft6NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1922.47185 Lbs6 ft13.16478,947$



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 :


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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")
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10textAny text entered in the filter will match text found within the column

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
30L33694614226264100
All Games
GPWLOTWOTL SOWSOLGFGA
3030000314
Home Games
GPWLOTWOTL SOWSOLGFGA
2020000212
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000012
Last 10 Games
WLOTWOTL SOWSOL
030000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1000.00%12375.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
1920702010
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
106116.39%2210321.36%74316.28%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3118117223110


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
3 - 2024-08-2816Americans8Firebirds1LBoxScore
7 - 2024-09-0138Rocket4Firebirds1LBoxScore
11 - 2024-09-0560Firebirds1Rocket2LBoxScore
14 - 2024-09-0871Marlies-Firebirds-
16 - 2024-09-1080Firebirds-Eagles-
19 - 2024-09-13100Wranglers-Firebirds-
25 - 2024-09-19129Eagles-Firebirds-
Trade Deadline --- Trades can’t be done after this day is simulated!
26 - 2024-09-20139Firebirds-Wranglers-
29 - 2024-09-23151Firebirds-Americans-
30 - 2024-09-24158Firebirds-Marlies-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
3 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 98,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 21 0$ 0$




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