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

Aces
GP: 78 | W: 34 | L: 38 | OTL: 6 | P: 74
GF: 236 | GA: 239 | PP%: 20.06% | PK%: 82.98%
GM : Karan Poona | Morale : 50 | Team Overall : 61

Game Center
Aces
34-38-6, 74pts
2
1 Americans
49-22-7, 105pts
Team Stats
W2StreakW1
20-17-2Home Record28-9-2
14-21-4Home Record21-13-5
6-4-0Last 10 Games6-4-0
3.03Goals Per Game3.37
3.06Goals Against Per Game2.86
20.06%Power Play Percentage18.03%
82.98%Penalty Kill Percentage82.02%
Firebirds
43-30-5, 91pts
4
7 Aces
34-38-6, 74pts
Team Stats
L1StreakW2
24-13-2Home Record20-17-2
19-17-3Home Record14-21-4
6-3-1Last 10 Games6-4-0
3.28Goals Per Game3.03
2.91Goals Against Per Game3.06
24.02%Power Play Percentage20.06%
79.30%Penalty Kill Percentage82.98%
Team Leaders
Andrew AgozzinoGoals
Andrew Agozzino
28
Patrick BrownAssists
Patrick Brown
39
Andrew AgozzinoPoints
Andrew Agozzino
59
Plus/Minus
Matteo Pietroniro
7
Wins
Hunter Shepard
34
Save Percentage
Yaniv Perets
0.971

Team Stats
Goals For
236
3.03 GFG
Shots For
2273
29.14 Avg
Power Play Percentage
20.1%
66 GF
Offensive Zone Start
39.8%
Goals Against
239
3.06 GAA
Shots Against
2402
30.79 Avg
Penalty Kill Percentage
83.0%%
56 GA
Defensive Zone Start
41.7%
Team Info

General ManagerKaran Poona
CoachMichael Peca
DivisionCentral
ConferenceAmerican
CaptainAndrew Agozzino
Assistant #1Gerald Mayhew
Assistant #2Christian Wolanin


Arena Info

Capacity3,000
Attendance2,183
Season Tickets0


Roster Info

Pro Team21
Farm Team21
Contract Limit42 / 250
Prospects26


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
1Patrick BrownXX100.005955737079646562696360685572640506503341,250,000$
2Christian FischerX100.007666896979558358586359685469590756402811,250,000$
3Andrew Agozzino (C)XX100.00555866636267656470626264547665050630351900,000$
4Liam O'BrienXX100.008491826781517756526058675461580506303121,000,000$
5Gerald Mayhew (A)X100.00555867615767656270606063587464050620331775,000$
6Daniel WalcottX100.00555567586567655855575765547062050600321775,000$
7Tyce ThompsonX100.00565562606768675955585662546257050600262775,000$
8Brandon GignacX100.00565569596461605856585762556559050590281800,000$
9Joseph LabateX100.00555563568163625666575561526861050590323850,000$
10Ty GloverXX100.00545569567262615660565663546056050590252775,000$
11Nikita GrebenkinX100.00525564567462605752565660515250050580222750,000$
12Christian Wolanin (A)X100.00555667616965646240645664546961050620312775,000$
13Lucas CarlssonX100.00565468626966636141615965576559050620281775,000$
14Declan CarlileX100.00565568597268655941595766556157050610252775,000$
15Brogan RaffertyX100.00545468596666645940595664546961050600302775,000$
16Tommy MillerX100.00545469566962615540555463546257050580271775,000$
17Matteo PietroniroX100.00565469566662615540555462546358050580272775,000$
Scratches
1Cooper MarodyX100.00555569566459595855575660546760050580292775,000$
2Casey DornbachX100.00545470546455555455545459546559050560281775,000$
TEAM AVERAGE100.0058586960696364585359576354665905160
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
1Hunter Shepard100.0074727359706768706169627262050680302875,000$
2Yaniv Perets100.0064565666616760646761656156050630262775,000$
Scratches
TEAM AVERAGE100.006964656366676467646564675905066
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Michael Peca7977777658551CAN513250,000$


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
1Andrew AgozzinoAces (Veg)C/LW7828315912201192632456316811.43%24181623.2865114326100052394155.69%245300020.6511000614
2Gerald MayhewAces (Veg)RW782732590200781382155914512.56%16135417.3766122211000031513252.03%12300000.8700000064
3Patrick BrownAces (Veg)C/RW78163955128095157225641697.11%13134617.26417215026900021282055.88%20400100.8211000154
4Lucas CarlssonAces (Veg)D78183553-360015899139449012.95%127176522.6491120862760002246200%000200.6000000114
5Liam O'BrienAces (Veg)C/LW78232952-107802471772003611811.50%16142618.29811193825710151383244.39%119400200.7300000453
6Brogan RaffertyAces (Veg)D7893645-3740148839344729.68%101165621.2451318552520112248200%000000.5400000012
7Ty GloverAces (Veg)C/LW78132942-1226087128146381288.90%8137217.6071118412610002632150.26%97100000.6100000133
8Christian WolaninAces (Veg)D78102838-25401499210728839.35%106177122.7141014622750000246410%000000.4300000413
9Declan CarlileAces (Veg)D7832629-3440145883720378.11%107143818.440111150001240000%000000.4000000101
10Tommy MillerAces (Veg)D7862329-76201237140152915.00%67121915.64101526000038010%000000.4800000201
11Joseph LabateAces (Veg)LW78151126-6220746590268716.67%8108613.9301117000042148.65%7400000.4800000210
12Christian FischerAces (Veg)RW5091625032012291138271016.52%1296719.35279331540002970130.88%6800000.5200000102
13Daniel WalcottAces (Veg)LW72914233260817413438916.72%15121316.8547113315301111272045.68%8100000.3800000211
14Tyce ThompsonAces (Veg)RW7861218-9160849010640865.66%1692311.84145127000021450042.15%22300000.3900000001
15Cooper MarodyAces (Veg)C429716-8180487273164112.33%457813.7600011000012045.58%66700000.5500000001
16Matteo PietroniroAces (Veg)D403131672007424379198.11%3575218.8134722116000167010%000000.4300000021
17Brandon GignacAces (Veg)LW408412214021304383118.60%63137.8300020000000052.38%2100000.7700000201
18Nikita GrebenkinAces (Veg)LW4743708027224110309.76%13156.7100022000011041.67%2400000.4400000000
19Casey DornbachAces (Veg)RW28235-420151223188.70%31977.0700004000001062.50%1600000.5100000000
Team Total or Average1255218391609-536260189517762132586153310.23%6852151517.14601081685092519123282186301150.42%611900520.5722000272736
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
1Hunter ShepardAces (Veg)78343850.8983.1345036323522990210.6673780522
2Yaniv PeretsAces (Veg)70010.9710.9219600310200000078000
Team Total or Average85343860.9013.04469963238240102137878522


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
Andrew AgozzinoAces (Veg)C/LW351991-01-03CANNo187 Lbs5 ft10NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm900,000$0$0$No---------------------------Link / NHL Link
Brandon GignacAces (Veg)LW281997-11-07CANNo185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No---------------------------Link / NHL Link
Brogan RaffertyAces (Veg)D301995-05-28USANo194 Lbs6 ft0NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Casey DornbachAces (Veg)RW281997-07-07USANo180 Lbs6 ft0NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Christian FischerAces (Veg)RW281997-04-15USANo211 Lbs6 ft2NoNoFree Agent2025-02-20NoNo12025-08-01FalseFalsePro & Farm1,250,000$0$0$No---------------------------Link / NHL Link
Christian WolaninAces (Veg)D311995-03-17USANo189 Lbs6 ft2NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Cooper MarodyAces (Veg)C291996-12-20USANo183 Lbs6 ft0NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Daniel WalcottAces (Veg)LW321994-02-19CANNo174 Lbs6 ft1NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Declan CarlileAces (Veg)D252000-05-18USANo192 Lbs6 ft2NoNoFree AgentNoNo22025-06-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Gerald MayhewAces (Veg)RW331992-12-31USANo161 Lbs5 ft9NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Hunter ShepardAces (Veg)G301995-11-07USANo209 Lbs6 ft1NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm875,000$0$0$No875,000$--------875,000$--------No--------Link
Joseph LabateAces (Veg)LW321993-04-16USANo224 Lbs6 ft5NoNoFree AgentNoNo32025-08-01FalseFalsePro & Farm850,000$0$0$No850,000$850,000$-------850,000$850,000$-------NoNo-------Link / NHL Link
Liam O'BrienAces (Veg)C/LW311994-07-29CANNo213 Lbs6 ft0NoNoTrade2024-10-07NoNo2FalseFalsePro & Farm1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------Link / NHL Link
Lucas CarlssonAces (Veg)D281997-07-05SWENo189 Lbs6 ft0NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm775,000$0$0$No---------------------------Link / NHL Link
Matteo PietroniroAces (Veg)D271998-10-20USANo185 Lbs6 ft1NoNoFree AgentNoNo22025-06-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Nikita GrebenkinAces (Veg)LW222003-05-02RUSNo209 Lbs6 ft2NoNoFree AgentNoNo22025-08-02FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------Link
Patrick BrownAces (Veg)C/RW331992-05-29USANo217 Lbs6 ft0NoNoTrade2024-10-07NoNo42024-07-27FalseFalsePro & Farm1,250,000$0$0$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------Link / NHL Link
Tommy MillerAces (Veg)D271999-03-06USANo194 Lbs6 ft2NoNoFree AgentNoNo12025-06-30FalseFalsePro & Farm775,000$0$0$No---------------------------Link
Ty GloverAces (Veg)C/LW252000-10-01CANNo200 Lbs6 ft3NoNoFree AgentNoNo22025-08-01FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Tyce ThompsonAces (Veg)RW261999-07-12USANo174 Lbs6 ft1NoNoFree AgentNoNo22025-06-30FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Yaniv PeretsAces (Veg)G262000-03-04CANNo180 Lbs6 ft1NoNoFree AgentNoNo22025-07-23FalseFalsePro & Farm775,000$0$0$No775,000$--------775,000$--------No--------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.86193 Lbs6 ft11.76845,238$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Daniel WalcottAndrew AgozzinoPatrick Brown33122
2Joseph LabateLiam O'BrienChristian Fischer33122
3Brandon GignacTy GloverGerald Mayhew22122
4Nikita GrebenkinAndrew AgozzinoTyce Thompson12122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninLucas Carlsson37122
2Declan CarlileBrogan Rafferty33122
3Matteo PietroniroTommy Miller30122
4Christian WolaninLucas Carlsson0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Liam O'BrienAndrew AgozzinoPatrick Brown60122
2Daniel WalcottTy GloverChristian Fischer40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninLucas Carlsson60122
2Matteo PietroniroBrogan Rafferty40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Andrew AgozzinoGerald Mayhew60122
2Patrick BrownChristian Fischer40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninLucas Carlsson60122
2Declan CarlileBrogan Rafferty40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Andrew Agozzino60122Christian WolaninLucas Carlsson60122
2Patrick Brown40122Declan CarlileBrogan Rafferty40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Andrew AgozzinoPatrick Brown60122
2Liam O'BrienChristian Fischer40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Christian WolaninLucas Carlsson60122
2Declan CarlileBrogan Rafferty40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Liam O'BrienAndrew AgozzinoPatrick BrownChristian WolaninDeclan Carlile
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Liam O'BrienAndrew AgozzinoPatrick BrownChristian WolaninLucas Carlsson
Extra Forwards
Normal PowerPlayPenalty Kill
Christian Fischer, Liam O'Brien, Gerald MayhewTyce Thompson, Liam O'BrienTyce Thompson
Extra Defensemen
Normal PowerPlayPenalty Kill
Brogan Rafferty, Lucas Carlsson, Tommy MillerBrogan RaffertyBrogan Rafferty, Matteo Pietroniro
Penalty Shots
Patrick Brown, Andrew Agozzino, Liam O'Brien, Gerald Mayhew, Christian Fischer
Goalie
#1 : Hunter Shepard, #2 : Yaniv Perets
Custom OT Lines Forwards
Patrick Brown, Andrew Agozzino, Liam O'Brien, Christian Fischer, Nikita Grebenkin, Gerald Mayhew, Ty Glover, Joseph Labate, Brandon Gignac, Tyce Thompson
Custom OT Lines Defensemen
Christian Wolanin, Lucas Carlsson, Declan Carlile, Brogan Rafferty, Matteo Pietroniro


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
1Admirals523000001314-13210000011922020000025-340.40013223500876380714275772176928126434413023417.39%22386.36%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
2Americans11000000211000000000001100000021121.000246008763807207577217692834134264125.00%20100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
3Barracuda30200100510-52010010047-31010000013-210.1675101500876380788757721769288024245515213.33%12191.67%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
4Bears1010000024-21010000024-20000000000000.0002350087638072175772176928411342322100.00%2150.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
5Bruins1010000003-3000000000001010000003-300.00000000876380719757721769283991022100.00%50100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
6Crunch1010000034-1000000000001010000034-100.00035800876380725757721769282991226200.00%6350.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
7Devils11000000514000000000001100000051421.000591400876380730757721769281848265240.00%4175.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
8Falcons11000000514110000005140000000000021.00059140087638073775772176928299422200.00%20100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
9Firebirds11000000743110000007430000000000021.0007142100876380744757721769283088322150.00%4250.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
10Griffins63101100191272110000065142001100137690.75019385700876380718575772176928192674616825832.00%23291.30%11317259650.73%1314271848.34%657120754.43%1828122018486111030514
11Gulls31100010151321000001054121100000109140.6671524390087638071107577217692811924328319421.05%16568.75%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
12Heat21100000660110000005321010000013-220.500610160087638075875772176928572545510220.00%20100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
13Ice Hogs65100000241311220000009274310000015114100.83324446802876380722875772176928125324012638923.68%20290.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
14Marlies311010001082211000006511000100043140.6671018280087638078575772176928903118771218.33%9188.89%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
15Monsters2020000058-31010000034-11010000024-200.000510150087638075375772176928652810399222.22%5180.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
16Moose614010001724-731200000911-230201000813-540.33317304700876380718975772176928169526015225312.00%30873.33%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
17Oil Kings21001000624210010006240000000000041.00061016018763807667577217692859232846900.00%14285.71%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
18Penguins11000000532110000005320000000000021.000581300876380729757721769282186267114.29%30100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
19Phantoms1010000034-11010000034-10000000000000.00036900876380722757721769282881228100.00%6183.33%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
20Rampage2020000047-31010000024-21010000023-100.00046100087638076475772176928551610439111.11%5180.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
21Reign30200100912-31010000012-120100100810-210.16791625008763807577577217692810736228412433.33%11190.91%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
22Rocket1010000014-31010000014-30000000000000.0001230087638072275772176928368629400.00%3233.33%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
23Senators2020000037-4000000000002020000037-400.0003690087638073175772176928741722568112.50%11190.91%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
24Sound Tigers1010000034-1000000000001010000034-100.0003690087638072975772176928377615300.00%30100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
25Stars11000000532000000000001100000053221.00057120087638073975772176928281112275360.00%6350.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
26Swamp Rabbits11000000211110000002110000000000021.00024600876380716757721769282488252150.00%40100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
27Thunderbirds1010000025-31010000025-30000000000000.000235008763807307577217692835910353266.67%5260.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
28Wheat Kings613011001622-631100100910-130201000712-550.41716284400876380718575772176928203595416016212.50%27581.48%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
29Wild53200000161333210000011832110000055060.60016284400876380713475772176928173516413016212.50%32584.38%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
30Wolfpack21000100651110000004221000010023-130.7506101600876380746757721769287716184110220.00%90100.00%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
31Wolves614001001721-43120000099030200100812-430.25017294610876380716975772176928202535218130620.00%26388.46%01317259650.73%1314271848.34%657120754.43%1828122018486111030514
Total78283805610236239-3391817012101271131439102104400109126-17740.474236419655138763807227375772176928240272165819883296620.06%3295682.98%11317259650.73%1314271848.34%657120754.43%1828122018486111030514
_Since Last GM Reset78283805610236239-3391817012101271131439102104400109126-17740.474236419655138763807227375772176928240272165819883296620.06%3295682.98%11317259650.73%1314271848.34%657120754.43%1828122018486111030514
_Vs Conference58192904510176183-72812130021090837307160430086100-14530.457176313489128763807174775772176928176354148014832595019.31%2403884.17%11317259650.73%1314271848.34%657120754.43%1828122018486111030514
_Vs Division2716180330085787141080010049391013610032003639-3410.75985147232028763807859757721769287742302386731122320.54%1192182.35%01317259650.73%1314271848.34%657120754.43%1828122018486111030514

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7874W223641965522732402721658198813
All Games
GPWLOTWOTL SOWSOLGFGA
7828385610236239
Home Games
GPWLOTWOTL SOWSOLGFGA
3918171210127113
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3910214400109126
Last 10 Games
WLOTWOTL SOWSOL
541000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3296620.06%3295682.98%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
757721769288763807
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1317259650.73%1314271848.34%657120754.43%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1828122018486111030514


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
14Aces2Ice Hogs0WBox score
29Aces1Griffins2LXBox score
320Aces1Wheat Kings5LBox score
532Wheat Kings3Aces2LBox score
957Aces2Griffins1WXBox score
1064Moose5Aces2LBox score
1282Aces5Ice Hogs4WBox score
1495Wild3Aces4WBox score
18121Aces3Moose2WXBox score
19128Admirals4Aces3LBox score
22151Aces3Gulls6LBox score
23158Wolves3Aces1LBox score
26180Aces3Wolves5LBox score
27190Barracuda5Aces3LBox score
30212Aces2Ice Hogs4LBox score
32224Wheat Kings2Aces3WBox score
34233Aces3Reign4LBox score
37255Admirals2Aces4WBox score
39271Aces5Griffins3WBox score
41287Rampage4Aces2LBox score
45311Admirals3Aces4WBox score
47331Aces3Sound Tigers4LBox score
49343Aces5Reign6LXBox score
50350Rocket4Aces1LBox score
53369Aces4Marlies3WXBox score
54382Heat3Aces5WBox score
58407Barracuda2Aces1LXBox score
60424Aces6Ice Hogs3WBox score
62439Falcons1Aces5WBox score
66467Gulls4Aces5WXXBox score
69490Aces7Gulls3WBox score
71501Thunderbirds5Aces2LBox score
74525Moose3Aces2LBox score
76542Aces2Wolfpack3LXBox score
78553Aces1Heat3LBox score
79565Phantoms4Aces3LBox score
82587Aces3Moose5LBox score
83596Wolfpack2Aces4WBox score
87621Wolves4Aces3LBox score
89635Aces3Wolves4LXBox score
91650Wolves2Aces5WBox score
93669Aces2Wolves3LBox score
95681Aces3Crunch4LBox score
96692Bears4Aces2LBox score
99710Aces5Devils1WBox score
101724Griffins2Aces5WBox score
103744Aces1Barracuda3LBox score
105754Reign2Aces1LBox score
108779Wheat Kings5Aces4LXBox score
110790Aces2Monsters4LBox score
113810Aces0Bruins3LBox score
115822Marlies2Aces1LBox score
117835Aces1Admirals2LBox score
119851Swamp Rabbits1Aces2WBox score
122877Monsters4Aces3LBox score
124887Aces5Griffins1WBox score
125894Aces2Wheat Kings4LBox score
127911Aces2Rampage3LBox score
129921Penguins3Aces5WBox score
131940Aces5Stars3WBox score
132945Aces1Senators2LBox score
134958Marlies3Aces5WBox score
137982Oil Kings2Aces3WXBox score
1401003Aces1Wild4LBox score
1421017Wild1Aces5WBox score
1441034Aces2Senators5LBox score
1461050Ice Hogs0Aces3WBox score
1501072Moose3Aces5WBox score
1531097Aces4Wild1WBox score
1551105Aces2Moose6LBox score
1561116Wild4Aces2LBox score
1601140Oil Kings0Aces3WBox score
1631158Aces1Admirals3LBox score
1651176Ice Hogs2Aces6WBox score
1681195Griffins3Aces1LBox score
1691207Aces4Wheat Kings3WXBox score
1721222Aces2Americans1WBox score
1771248Firebirds4Aces7WBox score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200100
Attendance57,10328,031
Attendance PCT73.21%71.87%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2183 - 72.76% 510,594$19,913,180$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,140,174$ 2,900,000$ 2,900,000$ 250,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
16,292$ 2,890,102$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 17,697$ 0$




Aces 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

Aces Goalies Stat Leaders (Regular Season)

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

Aces 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

Aces 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

Aces Goalies Stat Leaders (Play-Off)

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