Americans

GP: 49 | W: 32 | L: 15 | OTL: 2 | P: 66
GF: 186 | GA: 157 | PP%: 26.99% | PK%: 66.67%
GM : Brian Cohn | Morale : 50 | Team Overall : 58
Next Games #725 vs Condors
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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
1Adam CracknellXX100.007878797278838866805767716460616950660
2Derek MacKenzieXX100.008267877367599658846256827575766650660
3Benoit PouliotX100.007343908073668863365871744775787150660
4Reid BoucherX100.006942998368617270346068687559596950640
5Greg McKeggX100.006942907170557960795858792555566550620
6Andrew PoturalskiX100.007468896268849062785861645844446550610
7Travis BoydXX100.007066786366848965806561625844446550610
8Phillip Di GiuseppeX100.008357897973576959256359587559596450610
9Nicholas BaptisteXX100.006542877874568864325662612548486450600
10Justin Kloos (R)XX100.006862816662747762785962615944446450590
11Jake DotchinX100.008569787777707561255348742555556250660
12Ethan Bear (R)X100.007143838070767771255348632545456150630
13Sebastian AhoD (R)X100.006541918162698169255248652546466050620
14Joakim RyanX100.006541957767717961255248692551516150620
15Brennan Menell (R)X100.007466936466798651254345614344445650590
Scratches
1Giovanni Fiore (R)XX100.007571856371747957504961635844446250580
2Roope Hintz (R)X100.007874876274707458735061655844446350580
3Aleksi Saarela (R)X100.007668956668585861765265646244446450580
4Tobias LindbergXX100.007875856975677155504956645344446050580
5William CarrierX100.009661857373536260255556592554546250580
6Trevor Moore (R)X100.007062896662747858505656615344446150580
7Grayson DowningX100.007873886773677055696046644444445850570
8Axel Holmstrom (R)X100.008072976272667054685648654644445850570
9Sergey TolchinskyXX100.006658846358666861506256595344446150570
10Tanner MacMaster (R)X100.007062886562545262786257625444446150570
11Henrik SamuelssonXX100.007979806479504958504665656244446250560
12Mario Lucia (R)XX100.008176926176656953504854655144446050560
13Conor Garland (R)X100.006457796757666957505851574844445850550
14Robin Kovacs (R)XX100.007365906265707649504745604344445450540
15Nikita Korostelev (R)X100.007771926571505149504548624644445450530
16Greg ChaseX100.007468876168555749614646604444445350520
17Jonne Tammela (R)XX100.007267836267424149504548594644445350510
18Nathan Noel (R)X100.006563716563525445563846554444445050490
19Samuel Girard (R)X100.006741968859747375256148632557576250640
20Joey LaLeggiaX100.007164866864778161506058625544446350610
21Alexandre Carrier (R)X100.006863796863818951254741583944445550580
22Frederic Allard (R)X100.007366896466707454254648614644445850580
23Calle AnderssonX100.00627969706358635625485363504944150570
24Parker Wotherspoon (R)X100.007064856264727852254049594744445650570
25Mark Friedman (R)X100.007467916467646947253940603844445250560
26Colby Williams (R)X100.006667626667727948254041563944445150560
27Colton White (R)X100.007571856671667147253741603944445250560
28Dylan LabbeX100.007472806672535645254639593744445050550
29Joonas Lyytinen (R)X100.006458776358586246253640553844444950520
TEAM AVERAGE100.00736386696866725746525363474848585058
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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")
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
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Alexandar Georgiev (R)100.00726663668064557180726544446950650
2Scott Darling100.00576766955756545558574358595850600
Scratches
1Spencer Martin100.00537290804855505850503044445450560
2Brandon Halverson100.00534860835654505754533044445350550
3Marcus Hogberg (R)100.00505670874852505551513044445250540
TEAM AVERAGE100.0057627082585652595957404747575058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
# 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
1Derek MacKenzieAmericans (BUF)C/LW4911263747260466894327611.70%2361012.46022210000020161.58%11871734001.2115138262
2Samuel GirardAmericans (BUF)D19152035455712118546112.71%1846224.35146203354022444220.00%01427011.5100010444
3Phillip Di GiuseppeAmericans (BUF)LW4914183245525332216548998.48%1160212.29101210000003223.81%634412001.0624032604
4Travis BoydAmericans (BUF)C/RW49161531382403732136387211.76%1660412.34112110000006250.77%653621001.0300314456
5Nicholas BaptisteAmericans (BUF)C/RW4971623720132514243934.93%84899.9900000000002236.00%253514000.9400000320
6Greg McKeggAmericans (BUF)C49127194002443104265111.54%1551810.5900000000000059.61%4061815000.7301000326
7Ethan BearAmericans (BUF)D4941418-829530228343424.82%3678616.053251427000025000.00%0534000.4600010133
8Andrew PoturalskiAmericans (BUF)C49671353620121010031776.00%22885.8900000000000062.63%99174000.9000301411
9Joakim RyanAmericans (BUF)D4921012-65518263721215.41%4078416.02033227000026100.00%0239000.3100001034
10Sebastian AhoDAmericans (BUF)D4937103957143311109.09%2649710.162023900000100.00%0117000.4000001042
11Roope HintzAmericans (BUF)LW1012301156260416.67%3929.2100000000100050.00%803000.6500001010
12Joey LaLeggiaAmericans (BUF)D35000-121513418460.00%1435410.1300000000211000.00%0015000.0000001000
13Alexandre CarrierAmericans (BUF)D10000-200311010.00%0596.000000000001000.00%001000.0000000000
Team Total or Average515911422331732717524928110373516138.78%212615211.9521143557150022711115959.15%1853189236010.763107919273132
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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)
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
1Alexandar GeorgievAmericans (BUF)65100.8983.133640019186100000.000066010
Team Total or Average65100.8983.133640019186100000.000066010


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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)
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
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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
Adam CracknellAmericans (BUF)C/RW321986-07-15No220 Lbs6 ft3NoNoNo2UFAPro & Farm650,000$0$0$NoLink
Aleksi SaarelaAmericans (BUF)C221997-01-07Yes198 Lbs5 ft11NoNoNo3RFAPro & Farm700,000$0$0$NoLink
Alexandar GeorgievAmericans (BUF)G221996-02-10Yes176 Lbs6 ft1NoNoNo3RFAPro & Farm800,000$0$0$NoLink
Alexandre CarrierAmericans (BUF)D221996-10-08Yes174 Lbs5 ft11NoNoNo2RFAPro & Farm600,000$0$0$NoLink
Andrew PoturalskiAmericans (BUF)C251994-01-14No181 Lbs5 ft10NoNoNo1RFAPro & Farm875,000$0$0$NoLink
Axel HolmstromAmericans (BUF)C221996-06-29Yes198 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Benoit PouliotAmericans (BUF)LW311987-07-15 1:46:14 PMNo205 Lbs6 ft3NoNoNo3UFAPro & Farm1,300,000$0$0$NoLink
Brandon HalversonAmericans (BUF)G221996-03-28No212 Lbs6 ft4NoNoNo2RFAPro & Farm800,000$0$0$NoLink
Brennan MenellAmericans (BUF)D211997-05-24Yes183 Lbs5 ft11NoNoNo3RFAPro & Farm725,000$0$0$NoLink
Calle AnderssonAmericans (BUF)D241994-05-16No216 Lbs6 ft2NoNoNo1RFAPro & Farm600,000$0$0$NoLink
Colby WilliamsAmericans (BUF)D231995-01-25Yes191 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Colton WhiteAmericans (BUF)D211997-05-03Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm650,000$0$0$NoLink
Conor GarlandAmericans (BUF)RW221996-03-10Yes165 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink
Derek MacKenzieAmericans (BUF)C/LW361982-07-15 7:46:14 AMNo181 Lbs5 ft11NoNoNo3UFAPro & Farm1,375,000$0$0$NoLink
Dylan LabbeAmericans (BUF)D241995-01-08No194 Lbs6 ft2NoNoNo1RFAPro & Farm600,000$0$0$NoLink
Ethan BearAmericans (BUF)D211997-06-26Yes198 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Frederic AllardAmericans (BUF)D211997-12-27Yes179 Lbs6 ft1NoNoNo3RFAPro & Farm700,000$0$0$NoLink
Giovanni FioreAmericans (BUF)LW/RW221996-08-13Yes194 Lbs6 ft1NoNoNo3RFAPro & Farm725,000$0$0$NoLink
Grayson DowningAmericans (BUF)C261992-04-17No197 Lbs6 ft0NoNoNo1RFAPro & Farm700,000$0$0$NoLink
Greg ChaseAmericans (BUF)C241994-12-31No190 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Greg McKeggAmericans (BUF)C261992-06-17No191 Lbs6 ft0NoNoNo3RFAPro & Farm675,000$0$0$NoLink
Henrik SamuelssonAmericans (BUF)C/RW241994-02-07No219 Lbs6 ft3NoNoNo2RFAPro & Farm650,000$0$0$NoLink
Jake DotchinAmericans (BUF)D241994-03-24No212 Lbs6 ft3NoNoNo2RFAPro & Farm812,500$0$0$NoLink
Joakim RyanAmericans (BUF)D251993-06-17No185 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Joey LaLeggiaAmericans (BUF)D261992-06-24No182 Lbs5 ft9NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Jonne TammelaAmericans (BUF)LW/RW211997-08-05Yes187 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$0$0$NoLink
Joonas LyytinenAmericans (BUF)D231995-04-04Yes172 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Justin KloosAmericans (BUF)C/RW251993-11-30Yes179 Lbs5 ft9NoNoNo2RFAPro & Farm790,000$0$0$NoLink
Marcus HogbergAmericans (BUF)G241994-11-25Yes209 Lbs6 ft5NoNoNo3RFAPro & Farm700,000$0$0$NoLink
Mario LuciaAmericans (BUF)LW/RW251993-08-24Yes200 Lbs6 ft3NoNoNo1RFAPro & Farm795,000$0$0$NoLink
Mark FriedmanAmericans (BUF)D231995-12-25Yes178 Lbs5 ft10NoNoNo3RFAPro & Farm700,000$0$0$NoLink
Nathan NoelAmericans (BUF)C211997-06-21Yes174 Lbs5 ft11NoNoNo3RFAPro & Farm600,000$0$0$NoLink
Nicholas BaptisteAmericans (BUF)C/RW231995-08-04No206 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$NoLink
Nikita KorostelevAmericans (BUF)RW211997-02-08Yes195 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Parker WotherspoonAmericans (BUF)D211997-08-24Yes168 Lbs6 ft0NoNoNo3RFAPro & Farm600,000$0$0$NoLink
Phillip Di GiuseppeAmericans (BUF)LW251993-10-08No200 Lbs6 ft0NoNoNo4RFAPro & Farm650,000$0$0$NoLink
Reid BoucherAmericans (BUF)RW251993-09-08No195 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$0$0$NoLink
Robin KovacsAmericans (BUF)LW/RW221996-11-15Yes176 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$0$0$NoLink
Roope HintzAmericans (BUF)LW221996-11-17Yes205 Lbs6 ft3NoNoNo3RFAPro & Farm800,000$0$0$NoLink
Samuel GirardAmericans (BUF)D201998-05-12Yes162 Lbs5 ft10NoNoNo3ELCPro & Farm800,000$0$0$NoLink
Scott DarlingAmericans (BUF)G301988-12-21No232 Lbs6 ft6NoNoNo3UFAPro & Farm4,000,000$0$0$NoLink
Sebastian AhoDAmericans (BUF)D221996-02-17Yes176 Lbs5 ft10NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Sergey TolchinskyAmericans (BUF)LW/RW231995-02-03No170 Lbs5 ft8NoNoNo1RFAPro & Farm608,000$0$0$NoLink
Spencer MartinAmericans (BUF)G231995-06-07No210 Lbs6 ft3NoNoNo1RFAPro & Farm750,000$0$0$NoLink
Tanner MacMasterAmericans (BUF)C231996-01-08Yes172 Lbs5 ft10NoNoNo3RFAPro & Farm750,000$0$0$NoLink
Tobias LindbergAmericans (BUF)LW/RW231995-07-22No225 Lbs6 ft3NoNoNo1RFAPro & Farm650,000$0$0$NoLink
Travis BoydAmericans (BUF)C/RW251993-09-14No191 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$0$0$NoLink
Trevor MooreAmericans (BUF)LW231995-03-31Yes170 Lbs5 ft10NoNoNo1RFAPro & Farm950,000$0$0$NoLink
William CarrierAmericans (BUF)LW241994-12-19No212 Lbs6 ft2NoNoNo3RFAPro & Farm800,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4923.78192 Lbs6 ft02.27763,378$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Phillip Di GiuseppeDerek MacKenzieTravis Boyd30122
3Greg McKeggNicholas Baptiste20122
4Andrew Poturalski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2Ethan BearJoakim Ryan30122
3Sebastian AhoD20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Phillip Di GiuseppeDerek MacKenzieTravis Boyd40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ethan BearJoakim Ryan40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Derek MacKenzie40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ethan BearJoakim Ryan40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
240122Ethan BearJoakim Ryan40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Derek MacKenzie40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2Ethan BearJoakim Ryan40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
Greg McKegg, Andrew Poturalski, Nicholas BaptisteGreg McKegg, Andrew PoturalskiNicholas Baptiste
Extra Defensemen
Normal PowerPlayPenalty Kill
Sebastian AhoD, , Sebastian AhoD,
Penalty Shots
, , Derek MacKenzie, , Greg McKegg
Goalie
#1 : , #2 :


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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
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
1 Admirals1010000017-6000000000001010000017-600.00012300375290834404497656363562820100.00%4325.00%055196157.34%47386654.62%48284457.11%12168461081357681348
2Barracuda11000000651000000000001100000065121.0006121800375290834404497656363492112500.00%3233.33%055196157.34%47386654.62%48284457.11%12168461081357681348
3Bruins421000011112-1321000009901000000123-150.6251122330037529081484044976563611046224717529.41%6183.33%055196157.34%47386654.62%48284457.11%12168461081357681348
4Checkers311000101385110000009362010001045-140.66713213410375290896404497656368123293415640.00%7271.43%055196157.34%47386654.62%48284457.11%12168461081357681348
5Comets10001000321100010003210000000000021.000358003752908224044976563629122884125.00%4175.00%055196157.34%47386654.62%48284457.11%12168461081357681348
6Condors11000000514000000000001100000051421.00051015003752908324044976563617734123133.33%20100.00%055196157.34%47386654.62%48284457.11%12168461081357681348
7Devils311001008712010010035-21100000052330.50081523003752908894044976563679132237800.00%6433.33%155196157.34%47386654.62%48284457.11%12168461081357681348
8Griffins11000000505110000005050000000000021.000591401375290823404497656361674115240.00%10100.00%055196157.34%47386654.62%48284457.11%12168461081357681348
9Gulls11000000321110000003210000000000021.0003580037529081940449765636397717000.00%10100.00%055196157.34%47386654.62%48284457.11%12168461081357681348
10Ice Hogs11000000523110000005230000000000021.0005914003752908284044976563624728600.00%110.00%055196157.34%47386654.62%48284457.11%12168461081357681348
11IceCaps431000001512300000000000431000001512360.7501527420037529081434044976563613531274712650.00%11281.82%155196157.34%47386654.62%48284457.11%12168461081357681348
12Marlies31200000714-72110000069-31010000015-420.3337132000375290887404497656361062939426116.67%70100.00%155196157.34%47386654.62%48284457.11%12168461081357681348
13Monsters1010000026-4000000000001010000026-400.00023500375290832404497656362163312100.00%4325.00%055196157.34%47386654.62%48284457.11%12168461081357681348
14Moose3210000010100220000008531010000025-340.667101727003752908111404497656361252743396233.33%9277.78%155196157.34%47386654.62%48284457.11%12168461081357681348
15Penguins43100000161061100000061532100000109160.750163046003752908125404497656368624524713430.77%11554.55%055196157.34%47386654.62%48284457.11%12168461081357681348
16Phantoms10000010321000000000001000001032121.000336003752908164044976563628121718300.00%110.00%055196157.34%47386654.62%48284457.11%12168461081357681348
17Pirates422000001517-232100000131301010000024-240.5001524390037529081454044976563611836395910110.00%12650.00%055196157.34%47386654.62%48284457.11%12168461081357681348
18Rampage11000000835000000000001100000083521.00081422003752908344044976563635769106350.00%2150.00%155196157.34%47386654.62%48284457.11%12168461081357681348
19Reign10000010431000000000001000001043121.00046100037529082440449765636244353500.00%5180.00%055196157.34%47386654.62%48284457.11%12168461081357681348
20Senators32100000171161010000024-222000000157840.667173249003752908118404497656369734164118738.89%3233.33%055196157.34%47386654.62%48284457.11%12168461081357681348
21Sound Tigers20100010990201000109900000000000020.500915240037529085140449765636602217274250.00%60100.00%055196157.34%47386654.62%48284457.11%12168461081357681348
Total49251503141186157292313701110896920261280203197889660.67318633251811375290815764044976563614394156576211634426.99%1204066.67%555196157.34%47386654.62%48284457.11%12168461081357681348
23Wild10001000321000000000001000100032121.00035800375290828404497656362368132150.00%40100.00%055196157.34%47386654.62%48284457.11%12168461081357681348
24Wolf Pack2110000067-11010000024-21100000043120.500612180037529087040449765636501463010220.00%3166.67%055196157.34%47386654.62%48284457.11%12168461081357681348
25Wolves10001000541000000000001000100054121.000591400375290836404497656363820109100.00%5260.00%055196157.34%47386654.62%48284457.11%12168461081357681348
26Wolves11000000615110000006150000000000021.0006121800375290831404497656362964918200.00%20100.00%055196157.34%47386654.62%48284457.11%12168461081357681348
_Since Last GM Reset49251503141186157292313701110896920261280203197889660.67318633251811375290815764044976563614394156576211634426.99%1204066.67%555196157.34%47386654.62%48284457.11%12168461081357681348
_Vs Conference36181300131130119111897001106762518960002163576440.61113023136110375290811994044976563610753113294681223629.51%822668.29%455196157.34%47386654.62%48284457.11%12168461081357681348
_Vs Division19850000170664103300000353509520000135314170.4477012719701375290866440449765636582183147247682232.35%401172.50%255196157.34%47386654.62%48284457.11%12168461081357681348

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
4966L11863325181576143941565762111
All Games
GPWLOTWOTL SOWSOLGFGA
4925153141186157
Home Games
GPWLOTWOTL SOWSOLGFGA
2313711108969
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2612820319788
Last 10 Games
WLOTWOTL SOWSOL
450100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1634426.99%1204066.67%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
404497656363752908
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
55196157.34%47386654.62%48284457.11%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
12168461081357681348


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2018-10-024Bruins1Americans3WBoxScore
2 - 2018-10-038Americans3Wild2WXBoxScore
3 - 2018-10-0421Americans3IceCaps6LBoxScore
6 - 2018-10-0741Americans5IceCaps3WBoxScore
9 - 2018-10-1057Pirates4Americans6WBoxScore
10 - 2018-10-1166Americans6Senators3WBoxScore
12 - 2018-10-1383Sound Tigers3Americans2LBoxScore
15 - 2018-10-16101Americans9Senators4WBoxScore
16 - 2018-10-17111Americans4Penguins3WBoxScore
17 - 2018-10-18122Penguins1Americans6WBoxScore
21 - 2018-10-22149Marlies3Americans4WBoxScore
23 - 2018-10-24161Americans2Checkers4LBoxScore
24 - 2018-10-25174Americans3IceCaps2WBoxScore
26 - 2018-10-27185Moose1Americans3WBoxScore
29 - 2018-10-30209Sound Tigers6Americans7WXXBoxScore
32 - 2018-11-02228Americans2Bruins3LXXBoxScore
34 - 2018-11-04241Marlies6Americans2LBoxScore
37 - 2018-11-07265Moose4Americans5WBoxScore
39 - 2018-11-09279Americans4Wolf Pack3WBoxScore
41 - 2018-11-11291Americans2Moose5LBoxScore
42 - 2018-11-12302Devils2Americans1LBoxScore
45 - 2018-11-15320Americans6Barracuda5WBoxScore
46 - 2018-11-16335Comets2Americans3WXBoxScore
49 - 2018-11-19356Wolves1Americans6WBoxScore
51 - 2018-11-21370Americans5Wolves4WXBoxScore
53 - 2018-11-23386Bruins5Americans2LBoxScore
55 - 2018-11-25403Americans5Devils2WBoxScore
57 - 2018-11-27415Americans4Reign3WXXBoxScore
59 - 2018-11-29423Americans4Penguins2WBoxScore
60 - 2018-11-30434Bruins3Americans4WBoxScore
62 - 2018-12-02451Americans8Rampage3WBoxScore
64 - 2018-12-04463Pirates4Americans5WBoxScore
67 - 2018-12-07483Americans1Marlies5LBoxScore
69 - 2018-12-09493Ice Hogs2Americans5WBoxScore
71 - 2018-12-11507Americans2Pirates4LBoxScore
73 - 2018-12-13514Americans4IceCaps1WBoxScore
74 - 2018-12-14526Pirates5Americans2LBoxScore
77 - 2018-12-17546Americans3Phantoms2WXXBoxScore
78 - 2018-12-18556Checkers3Americans9WBoxScore
81 - 2018-12-21579Americans2Penguins4LBoxScore
83 - 2018-12-23587Gulls2Americans3WBoxScore
85 - 2018-12-25603Americans2Checkers1WXXBoxScore
87 - 2018-12-27619Griffins0Americans5WBoxScore
90 - 2018-12-30644Americans1 Admirals7LBoxScore
91 - 2018-12-31650Devils3Americans2LXBoxScore
92 - 2019-01-01665Americans2Monsters6LBoxScore
95 - 2019-01-04681Wolf Pack4Americans2LBoxScore
97 - 2019-01-06697Americans5Condors1WBoxScore
99 - 2019-01-08711Senators4Americans2LBoxScore
101 - 2019-01-10725Americans-Condors-
102 - 2019-01-11741Bears-Americans-
105 - 2019-01-14758Americans-Sound Tigers-
107 - 2019-01-16774Stars-Americans-
108 - 2019-01-17783Americans-Bears-
111 - 2019-01-20804Senators-Americans-
114 - 2019-01-23823Americans-Bruins-
116 - 2019-01-25836IceCaps-Americans-
119 - 2019-01-28855Americans-Wild-
120 - 2019-01-29866Stars-Americans-
125 - 2019-02-03897Sound Tigers-Americans-
126 - 2019-02-04903Americans-Bears-
129 - 2019-02-07925Penguins-Americans-
131 - 2019-02-09932Americans-Senators-
132 - 2019-02-10947Americans-Wild-
134 - 2019-02-12958Americans-Marlies-
135 - 2019-02-13960Crunch-Americans-
138 - 2019-02-16990IceCaps-Americans-
140 - 2019-02-181006Americans-Crunch-
142 - 2019-02-201020Phantoms-Americans-
Trade Deadline --- Trades can’t be done after this day is simulated!
146 - 2019-02-241045Americans-Heat-
147 - 2019-02-251053Crunch-Americans-
152 - 2019-03-021083Falcons-Americans-
155 - 2019-03-051104Americans-Devils-
157 - 2019-03-071115Phantoms-Americans-
161 - 2019-03-111142Wolf Pack-Americans-
166 - 2019-03-161176Marlies-Americans-



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
15 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,212,668$ 3,740,550$ 2,511,800$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 2,211,183$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 69 22,265$ 1,536,285$




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
2018492515031411861572923137011108969202612802031978896618633251811375290815764044976563614394156576211634426.99%1204066.67%555196157.34%47386654.62%48284457.11%12168461081357681348
Total Regular Season492515031411861572923137011108969202612802031978896618633251811375290815764044976563614394156576211634426.99%1204066.67%555196157.34%47386654.62%48284457.11%12168461081357681348