Please rotate your device to landscape mode for a better experience.
Login

Firebirds
GP: 36 | W: 19 | L: 17 | OTL: 0 | P: 38
GF: 164 | GA: 163 | PP%: 16.85% | PK%: 80.23%
GM : Ron Giovanni | Morale : 54 | Team Overall : 62
Next Games #395 vs Wombats

Game Center
Firebirds
19-17-0, 38pts
2
FINAL
5 Roadrunners
26-8-1, 53pts
Team Stats
L2StreakW4
11-6-0Home Record16-2-0
8-11-0Home Record10-6-1
4-6-0Last 10 Games8-2-0
4.56Goals Per Game3.83
4.53Goals Against Per Game2.74
16.85%Power Play Percentage30.12%
80.23%Penalty Kill Percentage86.08%
Firebirds
19-17-0, 38pts
5
FINAL
8 Griffins
20-16-0, 40pts
Team Stats
L2StreakW3
11-6-0Home Record10-8-0
8-11-0Home Record10-8-0
4-6-0Last 10 Games7-3-0
4.56Goals Per Game5.75
4.53Goals Against Per Game5.06
16.85%Power Play Percentage20.00%
80.23%Penalty Kill Percentage72.62%
Wombats
14-11-8, 36pts
Day 79
Firebirds
19-17-0, 38pts
Team Stats
W1StreakL2
7-8-3Home Record11-6-0
7-3-5Away Record8-11-0
3-5-2Last 10 Games4-6-0
3.64Goals Per Game4.56
3.82Goals Against Per Game4.56
20.24%Power Play Percentage16.85%
90.57%Penalty Kill Percentage80.23%
Americiens
20-12-1, 41pts
Day 81
Firebirds
19-17-0, 38pts
Team Stats
L1StreakL2
11-7-0Home Record11-6-0
9-5-1Away Record8-11-0
4-6-0Last 10 Games4-6-0
4.88Goals Per Game4.56
4.55Goals Against Per Game4.56
26.47%Power Play Percentage16.85%
73.86%Penalty Kill Percentage80.23%
Firebirds
19-17-0, 38pts
Day 82
Marlies
21-12-3, 45pts
Team Stats
L2StreakW2
11-6-0Home Record9-6-2
8-11-0Away Record12-6-1
4-6-0Last 10 Games7-3-0
4.56Goals Per Game4.31
4.53Goals Against Per Game4.31
16.85%Power Play Percentage26.80%
80.23%Penalty Kill Percentage78.02%
Team Leaders
Danton HeinenGoals
Danton Heinen
8
Michael BuntingAssists
Michael Bunting
8
Danton HeinenPoints
Danton Heinen
13
Josh MahuraPlus/Minus
Josh Mahura
2
Georgi RomanovWins
Georgi Romanov
3
Georgi RomanovSave Percentage
Georgi Romanov
0.845

Team Stats
Goals For
164
4.56 GFG
Shots For
1459
40.53 Avg
Power Play Percentage
16.9%
15 GF
Offensive Zone Start
42.0%
Goals Against
163
4.53 GAA
Shots Against
1247
34.64 Avg
Penalty Kill Percentage
80.2%%
17 GA
Defensive Zone Start
36.6%
Team Info

General ManagerRon Giovanni
CoachPeter DeBoer
DivisionMetropolitan
ConferenceEastern Conference
CaptainTanner Pearson
Assistant #1Nick Blankenburg
Assistant #2Danton Heinen


Arena Info

Capacity3,000
Attendance0
Season Tickets300


Roster Info

Pro Team19
Farm Team20
Contract Limit39 / 50
Prospects17


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 CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Eric RobinsonXX99.00755593677671917250656669516969023660304500,000$
2Michael BuntingXX97.00686067786677887250687157516969019660301500,000$
3Danton Heinen (A)XX98.00705989687073897050676070506969057650304500,000$
4Tanner Pearson (C)X100.00735594677470886950646465517471057640332500,000$
5Thomas NovakXXX100.00505495696372716758637060516667056620282500,000$
6Connor DewarXXX100.00816994646869676057615575506266054610262500,000$
7Daniel SprongX100.006854956569685863506150585065650545802821,500,000$
8Valtteri PuustinenX100.00595684626459526350535755516262055560262500,000$
9Mario FerraroX100.00786775637478926650595173566668020660272750,000$
10Nick Blankenburg (A)X100.00665879706175776850635275566669055650272500,000$
11John MarinoX100.00555696637176647250715072556870057640282750,000$
12Timothy LiljegrenX100.00696172677275836850615565566364057640262500,000$
13Tony DeAngeloX100.00595785706379657450725765596971056640301500,000$
14Josh MahuraX100.00735883626965786550585071556667056630271500,000$
15Noah JuulsenX100.00816579597268625950505072556870056620281500,000$
16Elias Pettersson (D) (R)X100.00706681596662586150525065555458055580213500,000$
Scratches
1Peyton KrebsXXX100.00756481676674916968666064506062044630244500,000$
2Julien GauthierX100.00523589578150505050505050506463048520281500,000$
TEAM AVERAGE99.6768588565697074665261576653666704962
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
1Georgi Romanov (R)98.0050646078504949494950506060051540262500,000$
Scratches
TEAM AVERAGE98.005064607850494949495050606005154
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Peter DeBoer8080858080841CAN555500,000$


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
1Danton HeinenFirebirds (NYR)LW/RW98513-160242530161326.67%221924.34101118000091044.00%2500001.1900000111
2Eric RobinsonFirebirds (NYR)LW/RW97310-400161935122320.00%521123.531014190110211145.74%9400010.9400000100
3Michael BuntingFirebirds (NYR)LW/RW92810-76015204312274.65%223726.380005161012180047.16%17600000.8400000010
4John MarinoFirebirds (NYR)D9088000458270%1317018.94022519011018000%000000.9400000000
5Tanner PearsonFirebirds (NYR)LW9628-52011102872621.43%215317.05000000000111163.64%1100001.0400000110
6Timothy LiljegrenFirebirds (NYR)D9167060175103810.00%816718.63022619000015000%000000.8300000010
7Thomas NovakFirebirds (NYR)C/LW/RW9347-3001162062015.00%119121.30000119000070053.60%22200000.7300000011
8Tony DeAngeloFirebirds (NYR)D9077200173010%310912.190000000000000%000001.2800000000
9Nick BlankenburgFirebirds (NYR)D9156-9208920965.00%1220222.52000920000018000%000000.5900000000
10Noah JuulsenFirebirds (NYR)D91340006450320.00%6758.4200000000050075.00%400001.0600000100
11Valtteri PuustinenFirebirds (NYR)RW91230004462416.67%011813.1600002000000058.62%2900000.5100000000
12Daniel SprongFirebirds (NYR)RW9123-7204615266.67%316017.8500003000000060.71%2800000.3700000000
13Connor DewarFirebirds (NYR)C/LW/RW9112-6100216237154.35%317219.16000319000010061.11%1800000.2300000001
14Josh MahuraFirebirds (NYR)D90112201835030%411012.270000000006000%000000.1800000000
15Elias Pettersson (D)Firebirds (NYR)D9011-100172010%0626.900000000000000%000000.3200000001
16Peyton KrebsFirebirds (NYR)C/LW/RW5101-31755780612.50%07915.8300007000040056.47%8500000.2500001000
17Mario FerraroFirebirds (NYR)D9000-9801510122110%1320122.40000720000017000%00000000000000
Team Total or Average149335891-516151711632738018012.09%77264417.752464118512321563251.88%69200010.6900001454
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
1Georgi RomanovFirebirds (NYR)93600.8454.9851840432770010090001
Team Total or Average93600.8454.985184043277001090001


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
Connor DewarFirebirds (NYR)C/LW/RW261999-06-26CANNo192 Lbs5 ft10NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Link / NHL Link
Daniel SprongFirebirds (NYR)RW281997-03-17NLDNo195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$150,000$85,833$No1,500,000$--------1,500,000$--------No--------Link / NHL Link
Danton HeinenFirebirds (NYR)LW/RW301995-07-05CANNo195 Lbs6 ft2NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Elias Pettersson (D)Firebirds (NYR)D212004-02-16SWEYes185 Lbs6 ft2NoNoFree AgentNoNo32025-08-04FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$-------500,000$500,000$-------NoNo-------Link
Eric RobinsonFirebirds (NYR)LW/RW301995-06-14USANo211 Lbs6 ft2NoNoFree AgentNoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Georgi RomanovFirebirds (NYR)G261999-12-15RUSYes207 Lbs6 ft5NoNoFree AgentNoNo22024-09-11FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Link / NHL Link
John MarinoFirebirds (NYR)D281997-05-21USANo200 Lbs6 ft1NoNoTrade2025-07-16NoNo22024-08-19FalseFalsePro & Farm750,000$75,000$42,917$No750,000$--------750,000$--------No--------Link / NHL Link
Josh MahuraFirebirds (NYR)D271998-05-05CANNo193 Lbs6 ft0NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Link / NHL Link
Julien GauthierFirebirds (NYR)RW281997-10-15CANNo225 Lbs6 ft4NoNoFree AgentNoNo12024-09-09FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Link / NHL Link
Mario FerraroFirebirds (NYR)D271998-09-17CANNo209 Lbs6 ft0NoNoTrade2025-06-29NoNo2FalseFalsePro & Farm750,000$75,000$42,917$No750,000$--------750,000$--------No--------Link / NHL Link
Michael BuntingFirebirds (NYR)LW/RW301995-09-17CANNo186 Lbs6 ft0NoNoFree AgentNoNo12025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Link / NHL Link
Nick BlankenburgFirebirds (NYR)D271998-05-12USANo177 Lbs5 ft9NoNoTrade2025-07-14NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Link / NHL Link
Noah JuulsenFirebirds (NYR)D281997-04-02CANNo201 Lbs6 ft2NoNoFree AgentNoNo12024-09-04FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Link / NHL Link
Peyton KrebsFirebirds (NYR)C/LW/RW242001-01-26CANNo186 Lbs6 ft0NoNoFree Agent2025-07-16NoNo42025-07-23FalseFalsePro & Farm500,000$50,000$28,611$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------Link / NHL Link
Tanner PearsonFirebirds (NYR)LW331992-08-10CANNo207 Lbs6 ft1NoNoTrade2025-07-13NoNo22025-03-28FalseFalsePro & Farm500,000$0$0$No500,000$-----------------No--------Link / NHL Link
Thomas NovakFirebirds (NYR)C/LW/RW281997-04-28USANo179 Lbs6 ft1NoNoFree AgentNoNo22025-07-28FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Link
Timothy LiljegrenFirebirds (NYR)D261999-04-30SWENo201 Lbs6 ft1NoNoTrade2025-06-29NoNo2FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Link / NHL Link
Tony DeAngeloFirebirds (NYR)D301995-10-24USANo180 Lbs5 ft11NoNoFree AgentNoNo12025-07-28FalseFalsePro & Farm500,000$50,000$28,611$No---------------------------Link / NHL Link
Valtteri PuustinenFirebirds (NYR)RW261999-06-04FINNo182 Lbs5 ft10NoNoN/ANoNo22024-08-19FalseFalsePro & Farm500,000$50,000$28,611$No500,000$--------500,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1927.53195 Lbs6 ft12.11578,947$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael BuntingEric Robinson40122
2Danton HeinenThomas NovakConnor Dewar30122
3Tanner PearsonMichael BuntingDaniel Sprong20122
4Danton HeinenEric RobinsonValtteri Puustinen10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mario FerraroNick Blankenburg40122
2Timothy LiljegrenJohn Marino30122
3Tony DeAngeloJosh Mahura20122
4Noah JuulsenElias Pettersson (D)10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael BuntingEric Robinson60122
2Danton HeinenThomas NovakConnor Dewar40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Mario FerraroNick Blankenburg60122
2Timothy LiljegrenJohn Marino40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael BuntingEric Robinson60122
2Danton HeinenTanner Pearson40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mario FerraroNick Blankenburg60122
2Timothy LiljegrenJohn Marino40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Bunting60122Mario FerraroNick Blankenburg60122
2Eric Robinson40122Timothy LiljegrenJohn Marino40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael BuntingEric Robinson60122
2Danton HeinenTanner Pearson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Mario FerraroNick Blankenburg60122
2Timothy LiljegrenJohn Marino40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael BuntingEric RobinsonMario FerraroNick Blankenburg
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael BuntingEric RobinsonMario FerraroNick Blankenburg
Extra Forwards
Normal PowerPlayPenalty Kill
Daniel Sprong, Valtteri Puustinen, Daniel Sprong, Valtteri Puustinen
Extra Defensemen
Normal PowerPlayPenalty Kill
Tony DeAngelo, Josh Mahura, Noah JuulsenTony DeAngeloJosh Mahura, Noah Juulsen
Penalty Shots
Michael Bunting, Eric Robinson, Danton Heinen, Tanner Pearson,
Goalie
#1 : Georgi Romanov, #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
1Aces321000001310332100000131030000000000040.6671326390153565051284834714931274222167900.00%8275.00%0596131845.22%509114844.34%29767444.07%793557923260454215
2Admirals321000002417711000000844211000001613340.667244569005356505123483471493121333614926233.33%7271.43%0596131845.22%509114844.34%29767444.07%793557923260454215
3Americiens1010000014-31010000014-30000000000000.00011200535650524483471493123652323200.00%40100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
4Barracuda1010000016-5000000000001010000016-500.00012300535650511483471493122810015100.00%000%0596131845.22%509114844.34%29767444.07%793557923260454215
5Broncos531010002418621001000972321000001511480.8002444680053565052114834714931214142269013323.08%13192.31%0596131845.22%509114844.34%29767444.07%793557923260454215
6Bruins42200000171612110000077021100000109140.5001733500053565051674834714931212027217714214.29%7271.43%0596131845.22%509114844.34%29767444.07%793557923260454215
7Canucks1010000034-1000000000001010000034-100.0003470053565054948347149312221242611100.00%2150.00%0596131845.22%509114844.34%29767444.07%793557923260454215
8Fighting Pandas20101000711-40000000000020101000711-420.50071421005356505794834714931270186479111.11%3166.67%0596131845.22%509114844.34%29767444.07%793557923260454215
9Griffins1010000058-3000000000001010000058-300.00059140053565053248347149312358619200.00%30100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
10Ice Bats10001000431100010004310000000000021.00048120053565054748347149312286627200.00%20100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
11Lions2200000013852200000013850000000000041.00013253800535650510348347149312882312566233.33%40100.00%0596131845.22%509114844.34%29767444.07%793557923260454215
12Marlies20101000910-11010000057-21000100043120.50091524105356505564834714931273241445100.00%5180.00%1596131845.22%509114844.34%29767444.07%793557923260454215
13Quacken11000000633110000006330000000000021.00061218005356505464834714931237102183133.33%2150.00%0596131845.22%509114844.34%29767444.07%793557923260454215
14Roadrunners404000001623-71010000056-1303000001117-600.0001631470053565051494834714931217041229210220.00%11372.73%0596131845.22%509114844.34%29767444.07%793557923260454215
15Wombats412010001520-52010100078-121100000812-440.500153045005356505186483471493121504926855120.00%13284.62%0596131845.22%509114844.34%29767444.07%793557923260454215
16Wranglers11000000624000000000001100000062421.0006121800535650548483471493124213425500.00%2150.00%0596131845.22%509114844.34%29767444.07%793557923260454215
Total36141705000164163117860300078671119611020008696-10380.5281643114751153565051459483471493121247346207804891516.85%861780.23%1596131845.22%509114844.34%29767444.07%793557923260454215
_Since Last GM Reset36141705000164163117860300078671119611020008696-10380.5281643114751153565051459483471493121247346207804891516.85%861780.23%1596131845.22%509114844.34%29767444.07%793557923260454215
_Vs Conference2581304000113119-61035020004243-11558020007176-5240.48011321332610535650599548347149312893242152551601118.33%631280.95%1596131845.22%509114844.34%29767444.07%793557923260454215
_Vs Division1368020006863552202000241958460000044440160.61568128196005356505552483471493124591357228626623.08%36586.11%0596131845.22%509114844.34%29767444.07%793557923260454215

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3638L21643114751459124734620780411
All Games
GPWLOTWOTL SOWSOLGFGA
3614175000164163
Home Games
GPWLOTWOTL SOWSOLGFGA
178630007867
Visitor Games
GPWLOTWOTL SOWSOLGFGA
1961120008696
Last 10 Games
WLOTWOTL SOWSOL
361000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
891516.85%861780.23%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
483471493125356505
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
596131845.22%509114844.34%29767444.07%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
793557923260454215


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
25Firebirds3Roadrunners5LBoxScore
620Wombats1Firebirds2WXBoxScore
833Bruins4Firebirds6WBoxScore
1043Firebirds6Bruins3WBoxScore
1251Broncos4Firebirds5WXBoxScore
1466Firebirds4Marlies3WXBoxScore
1675Admirals4Firebirds8WBoxScore
1889Roadrunners6Firebirds5LBoxScore
1994Firebirds3Wombats8LBoxScore
20100Firebirds5Broncos3WBoxScore
23112Firebirds7Broncos3WBoxScore
26123Aces3Firebirds5WBoxScore
29139Firebirds7Admirals8LBoxScore
31146Firebirds6Roadrunners7LBoxScore
32153Wombats7Firebirds5LBoxScore
35169Firebirds2Fighting Pandas7LBoxScore
36174Aces7Firebirds4LBoxScore
40189Lions4Firebirds8WBoxScore
43204Firebirds9Admirals5WBoxScore
45211Ice Bats3Firebirds4WXBoxScore
48225Firebirds5Wombats4WBoxScore
49235Bruins3Firebirds1LBoxScore
51247Firebirds3Broncos5LBoxScore
53257Quacken3Firebirds6WBoxScore
55272Aces0Firebirds4WBoxScore
57284Firebirds3Canucks4LBoxScore
59293Firebirds5Fighting Pandas4WXBoxScore
61300Marlies7Firebirds5LBoxScore
64316Lions4Firebirds5WBoxScore
65324Firebirds1Barracuda6LBoxScore
68338Firebirds6Wranglers2WBoxScore
69344Americiens4Firebirds1LBoxScore
72356Firebirds4Bruins6LBoxScore
74366Broncos3Firebirds4WBoxScore
76379Firebirds2Roadrunners5LBoxScore
77385Firebirds5Griffins8LBoxScore
79395Wombats-Firebirds-
81408Americiens-Firebirds-
82415Firebirds-Marlies-
85430Wranglers-Firebirds-
87437Firebirds-Marlies-
89446Firebirds-Lynx-
92457Barracuda-Firebirds-
94469Firebirds-Wranglers-
96474Firebirds-Tomahawks-
97483Lynx-Firebirds-
100498Nordiks-Firebirds-
102510Firebirds-Butter Knives-
104520Firebirds-Aces-
105525Bruins-Firebirds-
107541Marlies-Firebirds-
110554Firebirds-Lynx-
112565Admirals-Firebirds-
113574Firebirds-Wombats-
115582Firebirds-Roadrunners-
118593Firebirds-Bruins-
119597Admirals-Firebirds-
121614Lynx-Firebirds-
124630Firebirds-Aces-
125637Griffins-Firebirds-
128653Broncos-Firebirds-
131662Firebirds-Admirals-
133676Barons-Firebirds-
135689Firebirds-Broncos-
137697Barons-Firebirds-
139706Firebirds-Butter Knives-
141719Fighting Pandas-Firebirds-
142723Firebirds-Nordiks-
145734Firebirds-Barons-
147745Butter Knives-Firebirds-
148755Firebirds-Ice Bats-
150766Canucks-Firebirds-
152775Firebirds-Americiens-
155790Roadrunners-Firebirds-
156792Firebirds-Lions-
160813Tomahawks-Firebirds-
163826Firebirds-Americiens-
164835Roadrunners-Firebirds-
168854Fighting Pandas-Firebirds-
172869Firebirds-Quacken-
174877Butter Knives-Firebirds-
178900Tomahawks-Firebirds-



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

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
24 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
696,685$ 1,100,000$ 1,050,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
1,050,000$ 461,373$ 19 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 103 8,889$ 915,567$




Firebirds 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

Firebirds Goalies Stat Leaders (Regular Season)

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

Firebirds 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

Firebirds 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

Firebirds Goalies Stat Leaders (Play-Off)

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