WEB CLIENT LEAGUE FILES


Austin Aces


GP: 34 | W: 15 | L: 15 | OTL: 4 | P: 34
GF: 82 | GA: 98 | PP%: 13.08% | PK%: 78.00%
GM : Nathan Erb | Team Overall : 68
Next Games vs Binghamton Senators
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

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 SP
1Matthew Stajan (A)X100.00694292727178907173696874659999050700
2Zach Aston-Reese (R)X100.00825478757781817368676874696562050690
3Josh Leivo (R)XX100.00774786767583837469676972646265050680
4Matt CalvertXX100.00733988747380777368696870677270050680
5Andy Andreoff (R)X100.00816574707679806974676374596760050670
6Vinni Lettieri (R)XX100.00733284737279827069666771655555050660
7Tanner GlassXX100.00765683707377776564646370599087050660
8Joel Armia (R)X100.00743884708076777167626568617066050650
9Chris TerryX100.00734984697375776375625972567771050650
10Tomas Nosek (R)XX100.00733290737676706668646171636060050650
11Kevin Roy (R)X100.00653096766580807368686468665252050650
12Ben Lovejoy (A)X100.00784070697887896630666376509084050711
13Zach TrotmanX100.00773484747787907030675975536268050700
14Neal Pionk (R)X100.00744783767482787330704773375757050680
15Jordan Schmaltz (R)X100.00673092767383837030696272486063050680
16Johnny Oduya (C)X100.00673682706879776530615273579999050670
17Brandon Manning (R)X100.00755577727476776530635970577065050660
18Devon Toews (R)X100.00723086747480816730655270435455050660
Scratches
1Cole Cassels (R)X100.00723882696977756274585770584848050620
2Josh Healey (R)X100.00853078717872685830563670305855050640
3Chris Carlisle (R)X100.00663287726772646030575371514544050620
TEAM AVERAGE100.0074418472737979685365607256676605067
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 SP
1Kristers Gudlevskis (R)100.0082788287848081808077846156050770
2Harri Sateri100.0081787582808383828377816762050770
Scratches
1Hunter Miska (R)100.0084727280857978838378805252050750
TEAM AVERAGE100.008276768383818182827782605705076
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Lane Lambert72727374878579CAN541500,000$


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 NamePOS GP 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
1Ben LovejoyAustin Aces (VGK)D3431518-12260116353614268.33%4784324.802572090000073110.00%000000.4300000111
2Andy AndreoffAustin Aces (VGK)C3410717380597759233716.95%459717.5932516880001801151.32%75800000.5700000301
3Neal PionkAustin Aces (VGK)D342151752405135299196.90%4064518.972131591000022000.00%000000.5300000003
4Zach Aston-ReeseAustin Aces (VGK)LW347916918089399326657.53%759317.460001100005730048.89%4500000.5415000120
5Matthew StajanAustin Aces (VGK)C34781528019787427679.46%658017.071231591000000051.36%73800000.5211000100
6Matt CalvertAustin Aces (VGK)LW/RW327613220244165183710.77%451616.144371482000150151.52%3300000.5039000101
7Zach TrotmanAustin Aces (VGK)D3411112-1026068474422192.27%3678823.18044229000004100.00%000000.3000000001
8Johnny OduyaAustin Aces (VGK)D3401010-41005533146100.00%4459317.4500002000079000.00%000000.3400000001
9Tanner GlassAustin Aces (VGK)LW/RW34549-610049213832313.16%341512.21000080000120045.45%2200000.4300000100
10Brandon ManningAustin Aces (VGK)D34279520071251761011.76%3558017.0800000000073000.00%000000.3100000120
11Jordan SchmaltzAustin Aces (VGK)D34099-66034372313370.00%2971320.990331389000087000.00%000000.2500000000
12Josh LeivoAustin Aces (VGK)LW/RW34358-58050627827643.85%760417.790449900003870154.35%4600000.2614000001
13Vinni LettieriAustin Aces (VGK)C/RW34448-116030565720357.02%644713.1700016000070042.43%50200000.3611000112
14Joel ArmiaAustin Aces (VGK)RW34448-56033255318377.55%239211.5400000000001062.96%2700000.4100000101
15Chris TerryAustin Aces (VGK)C34358-42354067369238.33%1046413.65000000001800054.36%57400000.3400000001
16Kevin RoyAustin Aces (VGK)LW34358-3206456222514.84%339511.6400000000001043.48%2300000.4013000000
17Devon ToewsAustin Aces (VGK)D3405501804523176140.00%2654716.10000519000015000.00%000000.1800000000
18Cole CasselsAustin Aces (VGK)C2000000000000.00%000.230000000000000.00%000000.0000000000
Team Total or Average57861129190-4022158397467952695747.67%309971916.82122436131765000117035450.36%276800000.3982300011613
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
1Harri SateriAustin Aces (VGK)2411830.9142.43140840576590110.875242212122
2Kristers GudlevskisAustin Aces (VGK)124710.8843.2767900373200000.692131222110
Team Total or Average36151540.9042.70208740949790110.811373434232


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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Andy AndreoffAustin Aces (VGK)C275/17/1991 8:27:21 AMYes203 Lbs6 ft1NoNoNo1RFAPro & Farm847,000$Link / NHL Link
Ben LovejoyAustin Aces (VGK)D347/11/1984 8:10:27 PMNo205 Lbs6 ft1NoNoNo1UFAPro & Farm2,200,000$Link / NHL Link
Brandon ManningAustin Aces (VGK)D286/4/1990 10:32:33 AMYes205 Lbs6 ft1NoNoNo2RFAPro & Farm1,000,000$1,000,000$Link / NHL Link
Chris CarlisleAustin Aces (VGK)D2412/16/1994 5:42:23 AMYes174 Lbs5 ft10NoNoNo1RFAPro & Farm700,000$NHL Link
Chris TerryAustin Aces (VGK)C297/12/1989 2:10:27 AMNo191 Lbs5 ft10NoNoNo2UFAPro & Farm875,000$775,000$Link / NHL Link
Cole CasselsAustin Aces (VGK)C235/4/1995 3:40:06 AMYes178 Lbs6 ft0NoNoNo2RFAPro & Farm500,000$500,000$Link / NHL Link
Devon ToewsAustin Aces (VGK)D242/21/1994 7:46:52 AMYes205 Lbs6 ft0NoNoNo2RFAPro & Farm700,000$700,000$Link / NHL Link
Harri SateriAustin Aces (VGK)C/LW/RW2912/29/1989 6:45:22 AMNo205 Lbs6 ft1NoNoNo1UFAPro & Farm1,000,000$Link / NHL Link
Hunter MiskaAustin Aces (VGK)D237/7/1995 10:18:22 AMYes170 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link / NHL Link
Joel ArmiaAustin Aces (VGK)RW255/31/1993 5:27:56 AMYes205 Lbs6 ft3NoNoNo1RFAPro & Farm1,100,000$Link / NHL Link
Johnny OduyaAustin Aces (VGK)D377/12/1981 2:10:27 AMNo191 Lbs6 ft0NoNoNo2UFAPro & Farm1,300,000$1,000,000$Link / NHL Link
Jordan SchmaltzAustin Aces (VGK)D2510/8/1993 8:24:14 AMYes190 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$925,000$Link / NHL Link
Josh HealeyAustin Aces (VGK)D247/12/1994 6:38:06 AMYes205 Lbs6 ft0NoNoNo2RFAPro & Farm800,000$800,000$NHL Link
Josh LeivoAustin Aces (VGK)LW/RW255/26/1993 3:16:54 AMYes210 Lbs6 ft2NoNoNo1RFAPro & Farm1,250,000$Link / NHL Link
Kevin RoyAustin Aces (VGK)LW255/20/1993 8:59:54 AMYes170 Lbs5 ft9NoNoNo2RFAPro & Farm700,000$700,000$Link / NHL Link
Kristers GudlevskisAustin Aces (VGK)RW267/31/1992 9:54:50 AMYes214 Lbs6 ft3NoNoNo1RFAPro & Farm900,000$Link / NHL Link
Matt CalvertAustin Aces (VGK)LW/RW2912/24/1989 4:34:17 AMNo186 Lbs5 ft11NoNoNo3UFAPro & Farm1,250,000$1,250,000$1,250,000$Link / NHL Link
Matthew StajanAustin Aces (VGK)C367/12/1982 8:10:27 AMNo195 Lbs6 ft1NoNoNo1UFAPro & Farm950,000$Link / NHL Link
Neal PionkAustin Aces (VGK)D237/29/1995 10:15:25 AMYes190 Lbs6 ft0NoNoNo2RFAPro & Farm875,000$875,000$Link / NHL Link
Tanner GlassAustin Aces (VGK)LW/RW357/12/1983 2:10:27 PMNo213 Lbs6 ft1NoNoNo1UFAPro & Farm700,000$Link / NHL Link
Tomas NosekAustin Aces (VGK)C/LW269/1/1992 8:10:58 AMYes210 Lbs6 ft3NoNoNo2RFAPro & Farm1,250,000$1,250,000$Link / NHL Link
Vinni LettieriAustin Aces (VGK)C/RW232/6/1995 10:16:54 AMYes195 Lbs5 ft11NoNoNo2RFAPro & Farm875,000$875,000$Link / NHL Link
Zach Aston-ReeseAustin Aces (VGK)LW248/10/1994 11:01:36 AMYes204 Lbs6 ft0NoNoNo3RFAPro & Farm950,000$950,000$950,000$Link / NHL Link
Zach TrotmanAustin Aces (VGK)D288/26/1990 7:41:05 AMNo217 Lbs6 ft3NoNoNo2RFAPro & Farm1,200,000$1,500,000$Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2427.17197 Lbs6 ft11.75972,792$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zach Aston-ReeseMatthew StajanMatt Calvert31122
2Tomas NosekAndy AndreoffJosh Leivo26122
3Kevin RoyChris TerryJoel Armia23122
4Zach Aston-ReeseVinni LettieriTanner Glass20122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Johnny OduyaZach Trotman30122
2Ben LovejoyJordan Schmaltz30122
3Neal PionkBrandon Manning29122
4Devon ToewsZach Trotman11122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tomas NosekMatthew StajanZach Aston-Reese50122
2Josh LeivoAndy AndreoffMatt Calvert50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben LovejoyZach Trotman50122
2Neal PionkDevon Toews50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris TerryZach Aston-Reese50122
2Andy AndreoffJosh Leivo50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Johnny OduyaBrandon Manning50122
2Devon ToewsJordan Schmaltz50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Zach Aston-Reese50122Ben LovejoyBrandon Manning50122
2Andy Andreoff50122Johnny OduyaJordan Schmaltz50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matthew StajanTomas Nosek50122
2Vinni LettieriZach Aston-Reese50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben LovejoyZach Trotman50122
2Neal PionkJordan Schmaltz50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Matt CalvertMatthew StajanZach Aston-ReeseBen LovejoyZach Trotman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zach Aston-ReeseMatthew StajanMatt CalvertBen LovejoyZach Trotman
Extra Forwards
Normal PowerPlayPenalty Kill
Josh Leivo, Zach Aston-Reese, Andy AndreoffMatt Calvert, Zach Aston-ReeseJosh Leivo
Extra Defensemen
Normal PowerPlayPenalty Kill
Jordan Schmaltz, Johnny Oduya, Brandon ManningDevon ToewsJordan Schmaltz, Johnny Oduya
Penalty Shots
Matt Calvert, Andy Andreoff, Zach Aston-Reese, Tomas Nosek, Vinni Lettieri
Goalie
#1 : Harri Sateri, #2 : Kristers Gudlevskis


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
1Bridgeport Sound Tigers21000001642110000004131000000123-130.750610160025262411603013312976448191042400.00%10100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
2Butte Wolverines30300000413-92020000029-71010000024-200.00046101025262411783013312976494232090600.00%100100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
3Carolina Panthers2020000035-21010000023-11010000012-100.00036900252624113430133129764631614424125.00%60100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
4Durham Pioneers11000000321000000000001100000032121.00036900252624113230133129764338441300.00%20100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
5Halifax Mooseheads1000000134-11000000134-10000000000010.500369002526241130301331297642054279222.22%20100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
6Hershey Bears11000000514110000005140000000000021.000591400252624111330133129764391110234125.00%50100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
7Iowa Wild311000107611010000012-12100001064240.6677916002526241190301331297641033726765240.00%12466.67%0594117750.47%587115850.69%24349748.89%831567807255453230
8Laval Rocket3010001178-1100000103212010000146-230.5007111800252624119630133129764832724751300.00%11372.73%0594117750.47%587115850.69%24349748.89%831567807255453230
9Long Island Ducks21100000330110000002111010000012-120.5003690025262411573013312976462181950100.00%4250.00%0594117750.47%587115850.69%24349748.89%831567807255453230
10Milwaukee Admirals10000010321100000103210000000000021.00034700252624114230133129764259227400.00%10100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
11Oakland Seals30000030141131000001032120000020119261.000141933002526241182301331297649232207910440.00%10550.00%0594117750.47%587115850.69%24349748.89%831567807255453230
12Oakville Wolves1010000013-2000000000001010000013-200.000123002526241119301331297643112421300.00%2150.00%0594117750.47%587115850.69%24349748.89%831567807255453230
13Ontario Reign31101000862100010002112110000065140.66781422002526241110130133129764671610802214.55%40100.00%0594117750.47%587115850.69%24349748.89%831567807255453230
14Pensacola Ice Flyers20200000111-101010000007-71010000014-300.0001230025262411513013312976462161861300.00%9188.89%0594117750.47%587115850.69%24349748.89%831567807255453230
15Richmond Renegades2110000026-4110000002111010000005-520.5002350025262411473013312976453181434400.00%7271.43%0594117750.47%587115850.69%24349748.89%831567807255453230
16Seattle Thunderbirds1000010045-11000010045-10000000000010.50047110025262411393013312976429101025200.00%5180.00%0594117750.47%587115850.69%24349748.89%831567807255453230
17Texas Stars2020000047-31010000034-11010000013-200.000471100252624115230133129764481010557228.57%5260.00%0594117750.47%587115850.69%24349748.89%831567807255453230
18Toronto Marlies11000000413110000004130000000000021.0004711002526241133301331297642868253133.33%4175.00%0594117750.47%587115850.69%24349748.89%831567807255453230
Total34815011638298-161756011314346-31739000323952-13340.500821342161025262411956301331297649802932278731071413.08%1002278.00%0594117750.47%587115850.69%24349748.89%831567807255453230
_Since Last GM Reset34815011638298-161756011314346-31739000323952-13340.500821342161025262411956301331297649802932278731071413.08%1002278.00%0594117750.47%587115850.69%24349748.89%831567807255453230
_Vs Conference2249011615964-51014011302528-31235000313436-2240.5455992151102526241166430133129764633190138594781012.82%661774.24%0594117750.47%587115850.69%24349748.89%831567807255453230
_Vs Division813000201718-1402000109904110001089-160.375172643002526241124130133129764238745720817423.53%22863.64%0594117750.47%587115850.69%24349748.89%831567807255453230

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3434W28213421695698029322787310
All Games
GPWLOTWOTL SOWSOLGFGA
3481511638298
Home Games
GPWLOTWOTL SOWSOLGFGA
175611314346
Visitor Games
GPWLOTWOTL SOWSOLGFGA
173900323952
Last 10 Games
WLOTWOTL SOWSOL
630100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1071413.08%1002278.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3013312976425262411
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
594117750.47%587115850.69%24349748.89%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
831567807255453230


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
2 - 2018-11-2713Ontario Reign1Austin Aces2WXBoxScore
3 - 2018-11-2827Austin Aces0Ontario Reign4LBoxScore
5 - 2018-11-3043Austin Aces3Durham Pioneers2WBoxScore
6 - 2018-12-0156Texas Stars4Austin Aces3LBoxScore
8 - 2018-12-0370Butte Wolverines6Austin Aces1LBoxScore
9 - 2018-12-0481Austin Aces6Ontario Reign1WBoxScore
10 - 2018-12-05100Austin Aces1Carolina Panthers2LBoxScore
12 - 2018-12-07115Toronto Marlies1Austin Aces4WBoxScore
13 - 2018-12-08131Austin Aces2Laval Rocket3LBoxScore
15 - 2018-12-10144Hershey Bears1Austin Aces5WBoxScore
17 - 2018-12-12159Austin Aces5Oakland Seals4WXXBoxScore
18 - 2018-12-13179Iowa Wild2Austin Aces1LBoxScore
20 - 2018-12-15195Pensacola Ice Flyers7Austin Aces0LBoxScore
21 - 2018-12-16203Austin Aces1Texas Stars3LBoxScore
24 - 2018-12-19227Halifax Mooseheads4Austin Aces3LXXBoxScore
25 - 2018-12-20241Austin Aces2Butte Wolverines4LBoxScore
27 - 2018-12-22253Austin Aces2Iowa Wild1WBoxScore
28 - 2018-12-23270Austin Aces1Pensacola Ice Flyers4LBoxScore
30 - 2018-12-25285Bridgeport Sound Tigers1Austin Aces4WBoxScore
32 - 2018-12-27299Milwaukee Admirals2Austin Aces3WXXBoxScore
33 - 2018-12-28315Austin Aces2Bridgeport Sound Tigers3LXXBoxScore
35 - 2018-12-30331Austin Aces2Laval Rocket3LXXBoxScore
37 - 2019-01-01347Butte Wolverines3Austin Aces1LBoxScore
39 - 2019-01-03364Austin Aces1Long Island Ducks2LBoxScore
40 - 2019-01-04374Seattle Thunderbirds5Austin Aces4LXBoxScore
42 - 2019-01-06396Oakland Seals2Austin Aces3WXXBoxScore
43 - 2019-01-07410Austin Aces0Richmond Renegades5LBoxScore
45 - 2019-01-09426Long Island Ducks1Austin Aces2WBoxScore
46 - 2019-01-10440Austin Aces4Iowa Wild3WXXBoxScore
48 - 2019-01-12459Richmond Renegades1Austin Aces2WBoxScore
50 - 2019-01-14472Austin Aces1Oakville Wolves3LBoxScore
51 - 2019-01-15489Carolina Panthers3Austin Aces2LBoxScore
53 - 2019-01-17505Austin Aces6Oakland Seals5WXXBoxScore
55 - 2019-01-19520Laval Rocket2Austin Aces3WXXBoxScore
57 - 2019-01-21538Binghamton Senators-Austin Aces-
58 - 2019-01-22552Austin Aces-Rockford IceHogs-
59 - 2019-01-23563Austin Aces-Wilkes Barre-Scranton-
61 - 2019-01-25579Ontario Reign-Austin Aces-
63 - 2019-01-27599Seattle Thunderbirds-Austin Aces-
64 - 2019-01-28615Austin Aces-Louisville Thunder-
65 - 2019-01-29625Austin Aces-Halifax Mooseheads-
67 - 2019-01-31644Oakville Wolves-Austin Aces-
68 - 2019-02-01656Austin Aces-Adirondack Angels-
70 - 2019-02-03675Oakville Wolves-Austin Aces-
72 - 2019-02-05691Austin Aces-Ontario Reign-
73 - 2019-02-06697Austin Aces-Jacksonville Jokers-
75 - 2019-02-08716Wilkes Barre-Scranton-Austin Aces-
77 - 2019-02-10737Toronto Marlies-Austin Aces-
79 - 2019-02-12753Austin Aces-Binghamton Senators-
80 - 2019-02-13767Durham Pioneers-Austin Aces-
83 - 2019-02-16782Austin Aces-Ontario Reign-
84 - 2019-02-17797Texas Stars-Austin Aces-
86 - 2019-02-19818Hartford Wolfpack-Austin Aces-
87 - 2019-02-20829Austin Aces-Texas Stars-
89 - 2019-02-22841Austin Aces-Seattle Thunderbirds-
91 - 2019-02-24862Halifax Mooseheads-Austin Aces-
92 - 2019-02-25879Durham Pioneers-Austin Aces-
93 - 2019-02-26886Austin Aces-Hartford Wolfpack-
95 - 2019-02-28907Jacksonville Jokers-Austin Aces-
97 - 2019-03-02926Austin Aces-Hershey Bears-
98 - 2019-03-03939Philadelphia Phantoms-Austin Aces-
99 - 2019-03-04949Austin Aces-Louisville Thunder-
101 - 2019-03-06964Austin Aces-Durham Pioneers-
103 - 2019-03-08983London Knights-Austin Aces-
Trade Deadline --- Trades can’t be done after this day is simulated!
105 - 2019-03-101000Austin Aces-Denver Spurs-
106 - 2019-03-111016Rockford IceHogs-Austin Aces-
107 - 2019-03-121027Austin Aces-Milwaukee Admirals-
109 - 2019-03-141041Austin Aces-London Knights-
110 - 2019-03-151054Rockford IceHogs-Austin Aces-
112 - 2019-03-171076Syracuse Crunch-Austin Aces-
113 - 2019-03-181086Austin Aces-Cleveland Monsters-
115 - 2019-03-201107Adirondack Angels-Austin Aces-
117 - 2019-03-221120Austin Aces-Philadelphia Phantoms-
119 - 2019-03-241141Louisville Thunder-Austin Aces-
121 - 2019-03-261156Austin Aces-Denver Spurs-
123 - 2019-03-281173Syracuse Crunch-Austin Aces-
124 - 2019-03-291189Cleveland Monsters-Austin Aces-
126 - 2019-03-311205Austin Aces-Syracuse Crunch-
127 - 2019-04-011213Austin Aces-Milwaukee Admirals-
129 - 2019-04-031230Denver Spurs-Austin Aces-
131 - 2019-04-051248Cleveland Monsters-Austin Aces-
132 - 2019-04-061254Austin Aces-Toronto 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
24 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
2,334,700$ 2,322,200$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
1,201,520$ 17,423$ 992,581$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 78 21,154$ 1,650,012$




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
201834815011638298-161756011314346-31739000323952-1334821342161025262411956301331297649802932278731071413.08%1002278.00%0594117750.47%587115850.69%24349748.89%831567807255453230
Total Regular Season34815011638298-161756011314346-31739000323952-1334821342161025262411956301331297649802932278731071413.08%1002278.00%0594117750.47%587115850.69%24349748.89%831567807255453230