Americans
GP: 82 | W: 61 | L: 17 | OTL: 4 | P: 126
GF: 362 | GA: 174 | PP%: 13.13% | PK%: 87.77%
GM : Jason | Morale : 50 | Team Overall : 60
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 SPAgeContractSalary
1Chris TerryXX100.007369836669778068506565676254546850650322700,000$
2Tage ThompsonXX100.0081798578796363655059657062525267506402311,137,500$
3Cole SchneiderXX100.007974906074727467506563706054546750640302700,000$
4Michael AmadioXX100.006141947371648571746259622557586450630251715,000$
5Trevor MooreXXX100.007943956661637562346066722552536850620263800,000$
6Laurent DauphinXXX100.007168796468727660755660625747476350600263700,000$
7Keegan Kolesar (R)X100.008282816582687157506247674545455950600243905,000$
8Sean MaloneX100.007570866470636459745658635544446150590263750,000$
9Mikey EyssimontXX100.006767666867717559745658595544446050590243925,000$
10Remi ElieX100.008177906077575856504760665747476150580263700,000$
11Ross JohnstonX100.00949938689250495525535961254848605058X02721,000,000$
12Turner ElsonXX100.00716779656778845450505460514444595058X0284650,000$
13Ilya LyubushkinX100.009547897076646462254747672555555950640272985,000$
14Andy WelinskiX100.0080759168756264582546526949575861506302811,775,000$
15Taylor FedunX100.006742907172626661256049642558596150620323700,000$
16Alexander Yelesin (R)X100.0098479968695966582539475725444457505902511,350,000$
17Tyler LewingtonX100.006773536273697549254042574044445150560261665,000$
Scratches
1Andrew PoturalskiX100.007469865969616356705650654855555850580273650,000$
2Ryan FitzgeraldXX100.007061906561737757715158605544446150580263700,000$
3Joona Luoto (R)XX100.006742957370466452255055722545456050570232758,333$
4Dalton SmithX100.007176606476596347504544584244445150530283700,000$
TEAM AVERAGE100.00766582677264695947545564434949615060
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
1Jon Gillies100.00586784915761546257563045455950610
2Ken Appleby100.0048526584465250545252304444515054X0
Scratches
TEAM AVERAGE100.0053607588525752585554304545555058
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Scott Arniel59577053494455CAN543900,000$


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
1Chris Terry Americans (BUF)LW/RW78576312080561012414932710825817.43%21181123.228816622730111138610057.78%76500041.321501191011
2Cole Schneider Americans (BUF)LW/RW8244651096989151491183058319314.43%21176721.56991855281022143599257.61%18400021.2316210999
3Trevor Moore Americans (BUF)C/LW/RW724856104606001211513458424913.91%26145420.2077144622101181947254.86%70000041.43230006107
4Michael Amadio Americans (BUF)C/RW6529608965100171381784111416.29%7129019.8639122720620281954066.91%134800011.3833000568
5Mikey Eyssimont Americans (BUF)C/LW8237478452560891232367518815.68%10136216.61044141070004864268.84%79600001.2301000943
6Sean Malone Americans (BUF)C8229518070580851242177016713.36%14130215.890225600000257170.88%52200001.2301000725
7Laurent Dauphin Americans (BUF)C/LW/RW8226477345555641142246017611.61%6144417.625712382810000635168.06%79200001.0101001241
8Keegan Kolesar Americans (BUF)RW822341643510620137861855613312.43%9141117.214711242580001482270.83%9600000.9101202222
9Taylor Fedun Americans (BUF)D77243455134036547930452.53%50166821.6701111422510222304100.00%000000.5400000120
10Ross Johnston Americans (BUF)LW7210344458207252364573294613.70%31113315.741018420222932152.27%4400000.7800410214
11Ryan Fitzgerald Americans (BUF)C/LW7714304460340504293255415.05%21122315.896511261581122624158.62%8700000.7211000321
12Tage Thompson Americans (BUF)LW/RW272017371752103440103316019.42%1153920.00538201052133813051.79%5600021.3712001312
13Turner Elson Americans (BUF)LW/RW49201535422202652101217119.80%366013.481014210000181169.70%3300011.0600000313
14Tyler Lewington Americans (BUF)D82526315510952042950163110.00%58176321.50044152690221335100.00%000000.3500001023
15Alexander Yelesin Americans (BUF)D826222865104101942149134412.24%54175421.4024620265101229910100.00%100000.3200002131
16Remi Elie Americans (BUF)LW495182335240402132112515.63%1773114.940116350000111075.00%400000.6311000022
17Carter VerhaegheSabresC/LW/RW1918523340464385176621.18%431516.6231416551012362151.16%30300021.4600000310
18Andrew Poturalski Americans (BUF)C32317202736039122882710.71%2455817.440448610002340069.39%4900000.7200000002
19Joona Luoto Americans (BUF)LW/RW274484008132691415.38%31716.3600002000000066.67%300000.9300000011
20David PastrnakSabresRW212324033941111.11%14723.660001120000110042.86%2100001.2700000000
21Andy Welinski Americans (BUF)D150337180429127110.00%932021.36022550000063000.00%000000.1900000000
22Ilya Lyubushkin Americans (BUF)D5112320012152620.00%39018.1700042500009000.00%000000.4400000000
23Dalton Smith Americans (BUF)LW130220155611230.00%1866.640000110000230061.90%2100000.4600100000
Team Total or Average125340266910719051173105176213892763802199214.55%4042291218.295488142446306171219622744641463.55%5825000160.931025938656365
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
1Ilya SamsonovSabres5345710.9121.493172213798960310.88217530441
2Ken Appleby Americans (BUF)74300.8672.1539102141050000.000074001
3Jon Gillies Americans (BUF)52110.8822.112850110850000.5002442000
Team Total or Average65511120.9051.61384921610310860310.842196446442


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 Type Current Salary Salary RemainingSalary 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 10Link
Alexander Yelesin Americans (BUF)D251996-02-07Yes192 Lbs5 ft11NoNoNo1Pro & Farm1,350,000$0$0$NoLink / NHL Link
Andrew Poturalski Americans (BUF)C271994-01-14No190 Lbs5 ft11YesNoNo3Pro & Farm650,000$0$0$No650,000$650,000$Link / NHL Link
Andy Welinski Americans (BUF)D281993-04-27No206 Lbs6 ft1NoNoNo1Pro & Farm1,775,000$0$0$NoLink / NHL Link
Chris Terry Americans (BUF)LW/RW321989-04-07No195 Lbs5 ft10YesNoNo2Pro & Farm700,000$0$0$No700,000$Link / NHL Link
Cole Schneider Americans (BUF)LW/RW301990-08-26No200 Lbs6 ft1YesNoNo2Pro & Farm700,000$0$0$No700,000$Link / NHL Link
Dalton Smith Americans (BUF)LW281992-06-30No206 Lbs6 ft2YesNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Link / NHL Link
Ilya Lyubushkin Americans (BUF)D271994-04-06No209 Lbs6 ft2NoNoNo2Pro & Farm985,000$0$0$No985,000$Link / NHL Link
Jon Gillies Americans (BUF)G271994-01-21No223 Lbs6 ft6NoNoNo1Pro & Farm925,000$0$0$NoLink / NHL Link
Joona Luoto Americans (BUF)LW/RW231997-09-26Yes185 Lbs6 ft2NoNoNo2Pro & Farm758,333$0$0$No758,333$Link / NHL Link
Keegan Kolesar Americans (BUF)RW241997-04-08Yes227 Lbs6 ft2NoNoNo3Pro & Farm905,000$0$0$No905,000$905,000$Link / NHL Link
Ken Appleby Americans (BUF)G261995-04-09No207 Lbs6 ft4NoYesNo1Pro & Farm650,000$0$0$NoLink
Laurent Dauphin Americans (BUF)C/LW/RW261995-03-27No180 Lbs6 ft1YesNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Link / NHL Link
Michael Amadio Americans (BUF)C/RW251996-05-13No190 Lbs6 ft1NoNoNo1Pro & Farm715,000$0$0$NoLink / NHL Link
Mikey Eyssimont Americans (BUF)C/LW241996-09-09No181 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link / NHL Link
Remi Elie Americans (BUF)LW261995-04-15No210 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Link / NHL Link
Ross Johnston Americans (BUF)LW271994-02-18No235 Lbs6 ft5NoYesNo2Pro & Farm1,000,000$0$0$No1,000,000$Link / NHL Link
Ryan Fitzgerald Americans (BUF)C/LW261994-10-19No172 Lbs5 ft9NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Link / NHL Link
Sean Malone Americans (BUF)C261995-04-30No190 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$Link / NHL Link
Tage Thompson Americans (BUF)LW/RW231997-10-30No205 Lbs6 ft5NoNoNo1Pro & Farm1,137,500$0$0$NoLink / NHL Link
Taylor Fedun Americans (BUF)D321988-06-04No198 Lbs6 ft1NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Link / NHL Link
Trevor Moore Americans (BUF)C/LW/RW261995-03-31No170 Lbs5 ft9NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Link / NHL Link
Turner Elson Americans (BUF)LW/RW281992-09-12No184 Lbs6 ft0NoYesNo4Pro & Farm650,000$0$0$No650,000$650,000$650,000$Link / NHL Link
Tyler Lewington Americans (BUF)D261994-12-05No189 Lbs6 ft1NoNoNo1Pro & Farm665,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.61198 Lbs6 ft12.22849,601$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris TerryMichael AmadioCole Schneider40122
2Laurent DauphinTrevor MooreKeegan Kolesar30122
3Mikey EyssimontSean Malone20122
4Sean MaloneChris Terry10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor FedunAlexander Yelesin40122
2Tyler Lewington30122
3Ross Johnston20122
4Taylor FedunAlexander Yelesin10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Chris TerryMichael AmadioCole Schneider60122
2Laurent DauphinTrevor MooreKeegan Kolesar40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor FedunAlexander Yelesin60122
2Tyler Lewington40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Chris TerryCole Schneider60122
2Michael AmadioTrevor Moore40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor FedunAlexander Yelesin60122
2Tyler Lewington40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Chris Terry60122Taylor FedunAlexander Yelesin60122
2Cole Schneider40122Tyler Lewington40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Chris TerryCole Schneider60122
2Michael AmadioTrevor Moore40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Taylor FedunAlexander Yelesin60122
2Tyler Lewington40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Chris TerryMichael AmadioCole SchneiderTaylor FedunAlexander Yelesin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Chris TerryMichael AmadioCole SchneiderTaylor FedunAlexander Yelesin
Extra Forwards
Normal PowerPlayPenalty Kill
Mikey Eyssimont, , Ross JohnstonMikey Eyssimont, Ross Johnston
Extra Defensemen
Normal PowerPlayPenalty Kill
Tyler Lewington, Taylor Fedun, Alexander YelesinTyler LewingtonTaylor Fedun, Alexander Yelesin
Penalty Shots
Chris Terry, Cole Schneider, Michael Amadio, Trevor Moore, Keegan Kolesar
Goalie
#1 : , #2 :
Custom OT Lines Forwards
Chris Terry, Cole Schneider, Michael Amadio, Trevor Moore, Keegan Kolesar, Laurent Dauphin, Laurent Dauphin, Mikey Eyssimont, Sean Malone, ,
Custom OT Lines Defensemen
Taylor Fedun, Alexander Yelesin, Tyler Lewington, ,


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
1Admirals2010001046-21010000003-31000001043120.5004610001381209513417758658316148142232700.00%10190.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
2Barracudas2020000027-51010000015-41010000012-100.000246001381209513317758658316142134548700.00%13284.62%01562241064.81%1150188261.11%844125067.52%249118671539505940520
3Bears330000002361722000000185131100000051461.00023446700138120951314777586583161351330674250.00%15286.67%11562241064.81%1150188261.11%844125067.52%249118671539505940520
4Bruins4110200014104211000009722000200053260.7501426400013812095139477586583161701850802328.70%20385.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
5Checkers321000001551022000000143111010000012-140.66715264100138120951374775865831613714394513323.08%17382.35%11562241064.81%1150188261.11%844125067.52%249118671539505940520
6Comets20101000110100010001011010000001-120.500112011381209513297758658316139103740700.00%150100.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
7Condors21100000743110000004041010000034-120.50071118011381209513447758658316146537461616.25%16287.50%01562241064.81%1150188261.11%844125067.52%249118671539505940520
8Crunch4310000018117211000009722200000094560.750183351001381209513104775865831619024627722313.64%22195.45%01562241064.81%1150188261.11%844125067.52%249118671539505940520
9Devils31101000862211000004311000100043140.66781422111381209513687758658316155163445700.00%150100.00%11562241064.81%1150188261.11%844125067.52%249118671539505940520
10Eagles2200000012210110000005231100000070741.000122335011381209513101775865831612032032200.00%100100.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
11Griffins44000000196132200000013492200000062481.0001933520013812095131277758658316167225310613215.38%22290.91%01562241064.81%1150188261.11%844125067.52%249118671539505940520
12Gulls2200000011110110000006061100000051441.00011223301138120951348775865831614113264312541.67%13192.31%01562241064.81%1150188261.11%844125067.52%249118671539505940520
13Heat2110000058-31010000015-41100000043120.500581300138120951334775865831613114343910330.00%17664.71%01562241064.81%1150188261.11%844125067.52%249118671539505940520
14IceHogs20200000313-101010000015-41010000028-600.0003360013812095134477586583161395443710220.00%17570.59%01562241064.81%1150188261.11%844125067.52%249118671539505940520
15Marlies43100000171072200000010372110000077060.750173148001381209513119775865831615616447046715.22%20480.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
16Monsters301010107702010100045-11000001032140.66778150013812095137777586583161681744511600.00%21290.48%01562241064.81%1150188261.11%844125067.52%249118671539505940520
17Moose22000000523110000002021100000032141.0005712011381209513397758658316131726379111.11%13192.31%01562241064.81%1150188261.11%844125067.52%249118671539505940520
18Penguins32000010954100000105412200000041361.000913220113812095138277586583161551244617114.29%20195.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
19Phantoms31100001111101010000023-12100000198130.50011203100138120951370775865831616316435322313.64%19573.68%11562241064.81%1150188261.11%844125067.52%249118671539505940520
20Rampage 22000000192171100000080811000000112941.0001932510113812095131067758658316130423423133.33%50100.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
21Reign220000001138110000004131100000072541.0001117280013812095136477586583161196223514321.43%11281.82%01562241064.81%1150188261.11%844125067.52%249118671539505940520
22Roadrunners2200000015114110000006061100000091841.000152742011381209513877758658316129912447228.57%50100.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
23Rocket42100001171522110000076121000001109150.62517304700138120951311877586583161611470671700.00%22768.18%01562241064.81%1150188261.11%844125067.52%249118671539505940520
24Senators4300001014113210000107162200000070781.00014253903138120951312177586583161601940962015.00%200100.00%11562241064.81%1150188261.11%844125067.52%249118671539505940520
25Sound Tigers33000000214171100000090922000000124861.00021396002138120951314577586583161321026694375.00%13284.62%01562241064.81%1150188261.11%844125067.52%249118671539505940520
26Stars211000005321010000013-21100000040420.5005813011381209513507758658316148174755800.00%16287.50%01562241064.81%1150188261.11%844125067.52%249118671539505940520
27Thunderbirds4200020016151210001007612100010099060.75016294500138120951310877586583161752142642015.00%20195.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
28Wild22000000195141100000011381100000082641.000193453001381209513111775865831612671748200.00%60100.00%01562241064.81%1150188261.11%844125067.52%249118671539505940520
29Wolf Pack33000000303271100000011110220000001921761.0003055850013812095131807758658316133125056100.00%130100.00%11562241064.81%1150188261.11%844125067.52%249118671539505940520
30Wolves22000000413110000003121100000010141.0004610011381209513477758658316126826349111.11%12191.67%01562241064.81%1150188261.11%844125067.52%249118671539505940520
Total82521705242362174188412511021201838697412760312217988911260.76836263599711613812095132510775865831611372379110916193584713.13%4585687.77%61562241064.81%1150188261.11%844125067.52%249118671539505940520
_Since Last GM Reset82521705242362174188412511021201838697412760312217988911260.76836263599711613812095132510775865831611372379110916193584713.13%4585687.77%61562241064.81%1150188261.11%844125067.52%249118671539505940520
_Vs Conference281980001012258641495000005328251410300010693039400.714122208330081381209513847775865831614761254015721161916.38%1642385.98%01562241064.81%1150188261.11%844125067.52%249118671539505940520
_Vs Division1494000106733347430000028161275100010391722200.7146711318004138120951349277586583161242571992834149.76%77988.31%01562241064.81%1150188261.11%844125067.52%249118671539505940520

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82126L13626359972510137237911091619116
All Games
GPWLOTWOTL SOWSOLGFGA
8252175242362174
Home Games
GPWLOTWOTL SOWSOLGFGA
412511212018386
Visitor Games
GPWLOTWOTL SOWSOLGFGA
41276312217988
Last 10 Games
WLOTWOTL SOWSOL
531100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3584713.13%4585687.77%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
775865831611381209513
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1562241064.81%1150188261.11%844125067.52%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
249118671539505940520


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 - 2020-10-2511 Americans2Penguins0WBoxScore
4 - 2020-10-2720Devils3 Americans1LBoxScore
6 - 2020-10-2934 Americans3Monsters2WXXBoxScore
8 - 2020-10-3144Rocket2 Americans1LBoxScore
10 - 2020-11-0258Thunderbirds1 Americans3WBoxScore
13 - 2020-11-0579Stars3 Americans1LBoxScore
15 - 2020-11-0792 Americans5Gulls1WBoxScore
16 - 2020-11-08101 Americans7Reign2WBoxScore
18 - 2020-11-10120 Americans1Barracudas2LBoxScore
21 - 2020-11-13134Barracudas5 Americans1LBoxScore
23 - 2020-11-15153 Americans10Wolf Pack1WBoxScore
24 - 2020-11-16155 Americans2Griffins1WBoxScore
27 - 2020-11-19177Roadrunners0 Americans6WBoxScore
31 - 2020-11-23203 Americans5Bears1WBoxScore
32 - 2020-11-24206Sound Tigers0 Americans9WBoxScore
38 - 2020-11-30248Crunch3 Americans6WBoxScore
39 - 2020-12-01260 Americans4Crunch1WBoxScore
44 - 2020-12-06287Checkers1 Americans6WBoxScore
46 - 2020-12-08301Senators1 Americans2WXXBoxScore
47 - 2020-12-09314 Americans2IceHogs8LBoxScore
49 - 2020-12-11318Wild3 Americans11WBoxScore
51 - 2020-12-13334 Americans3Bruins2WXBoxScore
54 - 2020-12-16364 Americans4Thunderbirds3WBoxScore
55 - 2020-12-17373 Americans5Crunch3WBoxScore
57 - 2020-12-19378Heat5 Americans1LBoxScore
59 - 2020-12-21393Marlies2 Americans7WBoxScore
60 - 2020-12-22415 Americans2Marlies6LBoxScore
62 - 2020-12-24420Devils0 Americans3WBoxScore
65 - 2020-12-27441 Americans4Heat3WBoxScore
67 - 2020-12-29462 Americans0Comets1LBoxScore
68 - 2020-12-30464 Americans3Condors4LBoxScore
70 - 2021-01-01473Rampage 0 Americans8WBoxScore
72 - 2021-01-03489Admirals3 Americans0LBoxScore
74 - 2021-01-05509 Americans6Sound Tigers0WBoxScore
77 - 2021-01-08531 Americans5Marlies1WBoxScore
79 - 2021-01-10544 Americans5Phantoms6LXXBoxScore
81 - 2021-01-12553Reign1 Americans4WBoxScore
83 - 2021-01-14575 Americans4Senators0WBoxScore
87 - 2021-01-18583Bruins1 Americans4WBoxScore
89 - 2021-01-20604 Americans2Bruins1WXBoxScore
91 - 2021-01-22614Crunch4 Americans3LBoxScore
93 - 2021-01-24629Condors0 Americans4WBoxScore
95 - 2021-01-26643Thunderbirds5 Americans4LXBoxScore
100 - 2021-01-31686 Americans11Rampage 2WBoxScore
102 - 2021-02-02692Comets0 Americans1WXBoxScore
103 - 2021-02-03704 Americans4Griffins1WBoxScore
105 - 2021-02-05715Wolves1 Americans3WBoxScore
107 - 2021-02-07730 Americans4Stars0WBoxScore
109 - 2021-02-09749 Americans4Admirals3WXXBoxScore
119 - 2021-02-19774Senators0 Americans5WBoxScore
121 - 2021-02-21783Rocket4 Americans6WBoxScore
123 - 2021-02-23793Monsters1 Americans2WXBoxScore
126 - 2021-02-26814Eagles2 Americans5WBoxScore
128 - 2021-02-28828Griffins3 Americans5WBoxScore
129 - 2021-03-01841 Americans9Wolf Pack1WBoxScore
131 - 2021-03-03855Gulls0 Americans6WBoxScore
133 - 2021-03-05867Griffins1 Americans8WBoxScore
135 - 2021-03-07881Monsters4 Americans2LBoxScore
138 - 2021-03-10906Marlies1 Americans3WBoxScore
140 - 2021-03-12922 Americans3Senators0WBoxScore
144 - 2021-03-16955 Americans2Penguins1WBoxScore
145 - 2021-03-17960Moose0 Americans2WBoxScore
148 - 2021-03-20981 Americans7Eagles0WBoxScore
150 - 2021-03-22998 Americans1Wolves0WBoxScore
151 - 2021-03-23999 Americans9Roadrunners1WBoxScore
154 - 2021-03-261028 Americans3Moose2WBoxScore
156 - 2021-03-281033Penguins4 Americans5WXXBoxScore
158 - 2021-03-301056 Americans4Phantoms2WBoxScore
160 - 2021-04-011066Bears3 Americans9WBoxScore
163 - 2021-04-041088 Americans6Rocket7LXXBoxScore
164 - 2021-04-051093Bruins6 Americans5LBoxScore
166 - 2021-04-071110Checkers2 Americans8WBoxScore
168 - 2021-04-091123 Americans1Checkers2LBoxScore
170 - 2021-04-111140 Americans5Thunderbirds6LXBoxScore
172 - 2021-04-131153IceHogs5 Americans1LBoxScore
173 - 2021-04-141164Wolf Pack1 Americans11WBoxScore
175 - 2021-04-161178 Americans4Rocket2WBoxScore
177 - 2021-04-181197 Americans6Sound Tigers4WBoxScore
179 - 2021-04-201210 Americans8Wild2WBoxScore
181 - 2021-04-221224Bears2 Americans9WBoxScore
184 - 2021-04-251247 Americans4Devils3WXBoxScore
186 - 2021-04-271259Phantoms3 Americans2LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price1000
Attendance36,73439,093
Attendance PCT44.80%95.35%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 1849 - 61.65% 89,595$3,673,400$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,725,358$ 1,954,083$ 1,909,917$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
10,506$ 1,825,318$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 15,345$ 0$




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