Americans

GP: 22 | W: 15 | L: 6 | OTL: 1 | P: 31
GF: 39 | GA: 31 | PP%: 43.48% | PK%: 74.58%
GM : Brian Cohn | Morale : 50 | Team Overall : 58
Next Games vs Bruins
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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
15Joey LaLeggiaX100.007164866864778161506058625544446350610
16Brennan 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)X99.066741968859747375256148632557576250640
20Alexandre Carrier (R)X100.006863796863818951254741583944445550580
21Frederic Allard (R)X100.007366896466707454254648614644445850580
22Calle AnderssonX100.00627969706358635625485363504944150570
23Parker Wotherspoon (R)X100.007064856264727852254049594744445650570
24Mark Friedman (R)X100.007467916467646947253940603844445250560
25Colby Williams (R)X100.006667626667727948254041563944445150560
26Colton White (R)X100.007571856671667147253741603944445250560
27Dylan LabbeX100.007472806672535645254639593744445050550
28Joonas Lyytinen (R)X100.006458776358586246253640553844444950520
TEAM AVERAGE99.98736386696866725746525363474848585058
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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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# 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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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
1Samuel GirardAmericans (BUF)D19152035455712118546112.71%1846224.35146203354022444220.00%01427011.5100010444
2Travis BoydAmericans (BUF)C/RW221181902115231366153316.67%427412.4801101000004123.53%171414001.3800012332
3Derek MacKenzieAmericans (BUF)C/LW2241216-13125244439143510.26%928012.7501101000020160.96%561611001.1412023120
4Phillip Di GiuseppeAmericans (BUF)LW22410141401268219454.88%428212.8310111000001020.69%29205000.9901000103
5Ethan BearAmericans (BUF)D224711-217514105526277.27%1238917.713141219000024000.00%0212000.5600010121
6Nicholas BaptisteAmericans (BUF)C/RW222911-2205116814432.94%52179.9000000000001037.50%16196001.0100000110
7Greg McKeggAmericans (BUF)C22639-10015184392113.95%52199.9700000000000058.54%20543000.8200000221
8Joakim RyanAmericans (BUF)D22145-1559121814105.56%1238817.67022119000025100.00%0222000.2600001002
9Sebastian AhoDAmericans (BUF)D22224-62037165712.50%1023510.702023900000100.00%009000.3400000010
10Roope HintzAmericans (BUF)LW1012301156260416.67%3929.2100000000100050.00%803000.6500001010
11Andrew PoturalskiAmericans (BUF)C2211207538419352.44%21356.1500000000000065.22%46102000.3000100001
12Joey LaLeggiaAmericans (BUF)D22000-42010212360.00%824411.0900000000211000.00%0010000.0000000000
13Alexandre CarrierAmericans (BUF)D10000-200311010.00%0596.000000000001000.00%001000.0000000000
Team Total or Average2595178129-14107651341465651823289.03%92328112.6720113150108022711110458.05%88291125010.7913157131614
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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
# 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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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 CONT 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
Adam CracknellAmericans (BUF)C/RW321986-07-15No220 Lbs6 ft3NoNoNo2UFAPro & Farm650,000$650,000$Link
Aleksi SaarelaAmericans (BUF)C211997-01-07Yes198 Lbs5 ft11NoNoNo3RFAPro & Farm700,000$700,000$700,000$Link
Alexandar GeorgievAmericans (BUF)C221996-02-10Yes176 Lbs6 ft1NoNoNo3RFAPro & Farm800,000$800,000$800,000$Link
Alexandre CarrierAmericans (BUF)D221996-10-08Yes174 Lbs5 ft11NoNoNo2RFAPro & Farm600,000$600,000$Link
Andrew PoturalskiAmericans (BUF)C241994-01-14No181 Lbs5 ft10NoNoNo1RFAPro & Farm875,000$Link
Axel HolmstromAmericans (BUF)C221996-06-29Yes198 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Benoit PouliotAmericans (BUF)LW311987-07-15 1:46:14 PMNo205 Lbs6 ft3NoNoNo3UFAPro & Farm1,300,000$1,300,000$1,300,000$Link
Brandon HalversonAmericans (BUF)LW221996-03-28No212 Lbs6 ft4NoNoNo2RFAPro & Farm800,000$800,000$Link
Brennan MenellAmericans (BUF)D211997-05-24Yes183 Lbs5 ft11NoNoNo3RFAPro & Farm725,000$725,000$725,000$Link
Calle AnderssonAmericans (BUF)D241994-05-16No216 Lbs6 ft2NoNoNo1RFAPro & Farm600,000$Link
Colby WilliamsAmericans (BUF)D231995-01-25Yes191 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$500,000$Link
Colton WhiteAmericans (BUF)D211997-05-03Yes185 Lbs6 ft1NoNoNo3RFAPro & Farm650,000$650,000$650,000$Link
Conor GarlandAmericans (BUF)RW221996-03-10Yes165 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$500,000$Link
Derek MacKenzieAmericans (BUF)C/LW361982-07-15 7:46:14 AMNo181 Lbs5 ft11NoNoNo3UFAPro & Farm1,375,000$1,375,000$1,375,000$Link
Dylan LabbeAmericans (BUF)D231995-01-08No194 Lbs6 ft2NoNoNo1RFAPro & Farm600,000$Link
Ethan BearAmericans (BUF)D211997-06-26Yes198 Lbs5 ft11NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Frederic AllardAmericans (BUF)D201997-12-27Yes179 Lbs6 ft1NoNoNo3ELCPro & Farm700,000$700,000$700,000$Link
Giovanni FioreAmericans (BUF)LW/RW221996-08-13Yes194 Lbs6 ft1NoNoNo3RFAPro & Farm725,000$725,000$725,000$Link
Grayson DowningAmericans (BUF)C261992-04-17No197 Lbs6 ft0NoNoNo1RFAPro & Farm700,000$Link
Greg ChaseAmericans (BUF)C231994-12-31No190 Lbs6 ft0NoNoNo1RFAPro & Farm500,000$Link
Greg McKeggAmericans (BUF)C261992-06-17No191 Lbs6 ft0NoNoNo3RFAPro & Farm675,000$675,000$675,000$Link
Henrik SamuelssonAmericans (BUF)C/RW241994-02-07No219 Lbs6 ft3NoNoNo2RFAPro & Farm650,000$650,000$Link
Jake DotchinAmericans (BUF)D241994-03-24No212 Lbs6 ft3NoNoNo2RFAPro & Farm812,500$812,500$Link
Joakim RyanAmericans (BUF)D251993-06-17No185 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$Link
Joey LaLeggiaAmericans (BUF)D261992-06-24No182 Lbs5 ft9NoNoNo1RFAPro & Farm500,000$Link
Jonne TammelaAmericans (BUF)LW/RW211997-08-05Yes187 Lbs5 ft10NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link
Joonas LyytinenAmericans (BUF)D231995-04-04Yes172 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Justin KloosAmericans (BUF)C/RW241993-11-30Yes179 Lbs5 ft9NoNoNo2RFAPro & Farm790,000$790,000$Link
Marcus HogbergAmericans (BUF)D231994-11-25Yes209 Lbs6 ft5NoNoNo3RFAPro & Farm700,000$700,000$700,000$Link
Mario LuciaAmericans (BUF)LW/RW251993-08-24Yes200 Lbs6 ft3NoNoNo1RFAPro & Farm795,000$Link
Mark FriedmanAmericans (BUF)D221995-12-25Yes178 Lbs5 ft10NoNoNo3RFAPro & Farm700,000$700,000$700,000$Link
Nathan NoelAmericans (BUF)C211997-06-21Yes174 Lbs5 ft11NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link
Nicholas BaptisteAmericans (BUF)C/RW231995-08-04No206 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$Link
Nikita KorostelevAmericans (BUF)RW211997-02-08Yes195 Lbs6 ft1NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Parker WotherspoonAmericans (BUF)D211997-08-24Yes168 Lbs6 ft0NoNoNo3RFAPro & Farm600,000$600,000$600,000$Link
Phillip Di GiuseppeAmericans (BUF)LW251993-10-08No200 Lbs6 ft0NoNoNo4RFAPro & Farm650,000$650,000$650,000$650,000$Link
Reid BoucherAmericans (BUF)RW251993-09-08No195 Lbs5 ft10NoNoNo3RFAPro & Farm925,000$925,000$925,000$Link
Robin KovacsAmericans (BUF)LW/RW221996-11-15Yes176 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$750,000$Link
Roope HintzAmericans (BUF)LW211996-11-17Yes205 Lbs6 ft3NoNoNo3RFAPro & Farm800,000$800,000$800,000$Link
Samuel GirardAmericans (BUF)D201998-05-12Yes162 Lbs5 ft10NoNoNo3ELCPro & Farm800,000$800,000$800,000$Link
Scott DarlingAmericans (BUF)D291988-12-21No232 Lbs6 ft6NoNoNo3UFAPro & Farm4,000,000$4,000,000$4,000,000$Link
Sebastian AhoDAmericans (BUF)D221996-02-17Yes176 Lbs5 ft10NoNoNo3RFAPro & Farm500,000$500,000$500,000$Link
Sergey TolchinskyAmericans (BUF)LW/RW231995-02-03No170 Lbs5 ft8NoNoNo1RFAPro & Farm608,000$Link
Spencer MartinAmericans (BUF)G231995-06-07No210 Lbs6 ft3NoNoNo1RFAPro & Farm750,000$Link
Tanner MacMasterAmericans (BUF)C221996-01-08Yes172 Lbs5 ft10NoNoNo3RFAPro & Farm750,000$750,000$750,000$Link
Tobias LindbergAmericans (BUF)LW/RW231995-07-22No225 Lbs6 ft3NoNoNo1RFAPro & Farm650,000$Link
Travis BoydAmericans (BUF)C/RW251993-09-14No191 Lbs5 ft11NoNoNo1RFAPro & Farm500,000$Link
Trevor MooreAmericans (BUF)LW231995-03-31Yes170 Lbs5 ft10NoNoNo1RFAPro & Farm950,000$Link
William CarrierAmericans (BUF)LW231994-12-19No212 Lbs6 ft2NoNoNo3RFAPro & Farm800,000$800,000$800,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4923.53192 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 AhoDJoey LaLeggia20122
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, Joey LaLeggia, Sebastian AhoDJoey LaLeggia,
Penalty Shots
, , Derek MacKenzie, , Greg McKegg
Goalie
#1 : , #2 :


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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
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
1Barracuda11000000651000000000001100000065121.0006121800192245234207222350103492112500.00%3233.33%026445957.52%22140954.03%21138854.38%512345510161311157
2Bruins21000001541110000003121000000123-130.750510150019224527620722235010521918248450.00%40100.00%026445957.52%22140954.03%21138854.38%512345510161311157
3Checkers1010000024-2000000000001010000024-200.000246101922452392072223501025820112150.00%5260.00%026445957.52%22140954.03%21138854.38%512345510161311157
4Devils1010000012-11010000012-10000000000000.00011200192245231207222350102841414300.00%220.00%026445957.52%22140954.03%21138854.38%512345510161311157
5IceCaps321000001111000000000000321000001111040.6671119300019224521122072223501010722213911654.55%8187.50%026445957.52%22140954.03%21138854.38%512345510161311157
6Marlies2110000069-32110000069-30000000000020.500611170019224526020722235010631915283133.33%50100.00%126445957.52%22140954.03%21138854.38%512345510161311157
7Moose3210000010100220000008531010000025-340.667101727001922452111207222350101252743396233.33%9277.78%126445957.52%22140954.03%21138854.38%512345510161311157
8Penguins220000001046110000006151100000043141.000101929001922452762072223501039719295360.00%7357.14%026445957.52%22140954.03%21138854.38%512345510161311157
9Pirates11000000642110000006420000000000021.00061218001922452432072223501041128193133.33%4325.00%026445957.52%22140954.03%21138854.38%512345510161311157
10Senators2200000015780000000000022000000157841.0001529440019224528520722235010672272912758.33%10100.00%026445957.52%22140954.03%21138854.38%512345510161311157
Since Last GM Reset22136010118874141063000103931812730100149436310.7058816225010192245278420722235010693183213296693043.48%591574.58%226445957.52%22140954.03%21138854.38%512345510161311157
12Sound Tigers20100010990201000109900000000000020.500915240019224525120722235010602217274250.00%60100.00%026445957.52%22140954.03%21138854.38%512345510161311157
Total22136010118874141063000103931812730100149436310.7058816225010192245278420722235010693183213296693043.48%591574.58%226445957.52%22140954.03%21138854.38%512345510161311157
Vs Conference20126000117967121063000103931810630000140364270.6757914522410192245272220722235010636168184271622946.77%521375.00%226445957.52%22140954.03%21138854.38%512345510161311157
Vs Division1062000014335842100000151416410000128217130.6504381124001922452376207222350103309469139371951.35%22481.82%126445957.52%22140954.03%21138854.38%512345510161311157
16Wild10001000321000000000001000100032121.00035800192245228207222350102368132150.00%40100.00%026445957.52%22140954.03%21138854.38%512345510161311157
17Wolf Pack11000000431000000000001100000043121.000481200192245238207222350102962125240.00%10100.00%026445957.52%22140954.03%21138854.38%512345510161311157

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2231W18816225078469318321329610
All Games
GPWLOTWOTL SOWSOLGFGA
2213610118874
Home Games
GPWLOTWOTL SOWSOLGFGA
106300103931
Visitor Games
GPWLOTWOTL SOWSOLGFGA
127310014943
Last 10 Games
WLOTWOTL SOWSOL
630001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
693043.48%591574.58%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
207222350101922452
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
26445957.52%22140954.03%21138854.38%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
512345510161311157


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 - 2018-11-16335Comets-Americans-
49 - 2018-11-19356Wolves-Americans-
51 - 2018-11-21370Americans-Wolves-
53 - 2018-11-23386Bruins-Americans-
55 - 2018-11-25403Americans-Devils-
57 - 2018-11-27415Americans-Reign-
59 - 2018-11-29423Americans-Penguins-
60 - 2018-11-30434Bruins-Americans-
62 - 2018-12-02451Americans-Rampage-
64 - 2018-12-04463Pirates-Americans-
67 - 2018-12-07483Americans-Marlies-
69 - 2018-12-09493Ice Hogs-Americans-
71 - 2018-12-11507Americans-Pirates-
73 - 2018-12-13514Americans-IceCaps-
74 - 2018-12-14526Pirates-Americans-
77 - 2018-12-17546Americans-Phantoms-
78 - 2018-12-18556Checkers-Americans-
81 - 2018-12-21579Americans-Penguins-
83 - 2018-12-23587Gulls-Americans-
85 - 2018-12-25603Americans-Checkers-
87 - 2018-12-27619Griffins-Americans-
90 - 2018-12-30644Americans- Admirals-
91 - 2018-12-31650Devils-Americans-
92 - 2019-01-01665Americans-Monsters-
95 - 2019-01-04681Wolf Pack-Americans-
97 - 2019-01-06697Americans-Condors-
99 - 2019-01-08711Senators-Americans-
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
28 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
3,740,550$ 2,511,800$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
1,011,843$ 0$ 1,011,843$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 123 22,265$ 2,738,595$




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
201822136010118874141063000103931812730100149436318816225010192245278420722235010693183213296693043.48%591574.58%226445957.52%22140954.03%21138854.38%512345510161311157
Total Regular Season22136010118874141063000103931812730100149436318816225010192245278420722235010693183213296693043.48%591574.58%226445957.52%22140954.03%21138854.38%512345510161311157