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

Bills
GP: 29 | W: 13 | L: 13 | OTL: 3 | P: 29
GF: 108 | GA: 115 | PP%: 27.14% | PK%: 68.18%
GM : Dima | Morale : 88 | Team Overall : N/A
Next Games #490 vs Gorillas

Game Center
White Wolves
15-12-5, 35pts
6
FINAL
1 Bills
13-13-3, 29pts
Team Stats
L1StreakL2
5-7-3Home Record8-5-2
10-5-2Home Record5-8-1
5-3-2Last 10 Games2-5-3
3.72Goals Per Game3.72
3.22Goals Against Per Game3.97
28.48%Power Play Percentage27.14%
74.51%Penalty Kill Percentage68.18%
Bills
13-13-3, 29pts
2
FINAL
4 Crunch
17-12-4, 38pts
Team Stats
L2StreakW3
8-5-2Home Record10-3-2
5-8-1Home Record7-9-2
2-5-3Last 10 Games5-3-2
3.72Goals Per Game3.45
3.97Goals Against Per Game3.15
27.14%Power Play Percentage34.06%
68.18%Penalty Kill Percentage76.32%
Gorillas
11-17-4, 26pts
Day 69
Bills
13-13-3, 29pts
Team Stats
L5StreakL2
7-8-0Home Record8-5-2
4-9-4Away Record5-8-1
2-7-1Last 10 Games2-5-3
3.16Goals Per Game3.72
4.28Goals Against Per Game3.72
25.93%Power Play Percentage27.14%
72.92%Penalty Kill Percentage68.18%
Silver Knights
15-14-2, 32pts
Day 73
Bills
13-13-3, 29pts
Team Stats
L1StreakL2
8-6-1Home Record8-5-2
7-8-1Away Record5-8-1
6-3-1Last 10 Games2-5-3
2.97Goals Per Game3.72
3.10Goals Against Per Game3.72
29.41%Power Play Percentage27.14%
73.23%Penalty Kill Percentage68.18%
Bills
13-13-3, 29pts
Day 75
Bulldogs
16-12-2, 34pts
Team Stats
L2StreakL2
8-5-2Home Record8-7-0
5-8-1Away Record8-5-2
2-5-3Last 10 Games4-6-0
3.72Goals Per Game3.37
3.97Goals Against Per Game3.37
27.14%Power Play Percentage34.65%
68.18%Penalty Kill Percentage73.10%
Team Leaders
Goals
Kirill Maksimov
13
Assists
Kyle McDonald
18
Points
Kyle McDonald
28
Plus/Minus
Andrew Perrott
8
Wins
Arsenii Sergeev
8
Save Percentage
Arsenii Sergeev
0.909

Team Stats
Goals For
108
3.72 GFG
Shots For
971
33.48 Avg
Power Play Percentage
27.1%
38 GF
Offensive Zone Start
37.2%
Goals Against
115
3.97 GAA
Shots Against
906
31.24 Avg
Penalty Kill Percentage
68.2%%
49 GA
Defensive Zone Start
36.8%
Team Info

General ManagerDima
CoachMitch Love
DivisionCentral Division
ConferenceWestern Conference
Captain
Assistant #1Dawson Barteaux
Assistant #2


Arena Info

Capacity8,000
Attendance8,000
Season Tickets800


Roster Info

Pro Team29
Farm Team21
Contract Limit50 / 65
Prospects10


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
1Kirill MaksimovXX100.0060606060607070606060606060576407100251716,625$
2Parker FordX99.0064508768687584646163647165496107900242682,500$
3Nikita AlexandrovX100.00606060606070706060606060605361083002421,155,000$
4Kyle McDonaldXX100.0060606060607070606060606060485508000223650,000$
5Raivis AnsonsXX100.0060606060607070606060606060485708000223650,000$
6Matvey PetrovXX100.0060606060607070606060606060405508600212735,000$
7Elliot EkmarkX100.0060606060607070606060606060485807300221682,500$
8Antti SaarelaXXX100.0060606060607070606060606060525808000231866,250$
9Isak RosenXX100.00605094736976926761666766654756083002121,575,000$
10Marcel Marcel (R)XX100.0060606060607070606060606060465508700212825,000$
11Matt Copponi (R)X100.0060606060607070606060606060485508200212650,000$
12Ville HeinolaX100.0064509364698176672565657065516107800232950,000$
13Miska KukkonenX100.0060606060607070606060606060505808000241866,250$
14Andrew PerrottX100.0060606060607070606060606060535807600232650,000$
15Marek AlscherX100.0060606060607070606060606060415608100201975,000$
16Cole McWardX100.0060606060607070606060606060405506700233650,000$
Scratches
1Henrik RybinskiX100.0060606060607070606060606060525807200231787,500$
2Maxim GroshevXX100.0060606060607070606060606060485806800231787,500$
3Aku RatyXX100.0060606060607070606060606060485806700231735,000$
4Cameron ButlerXX100.0060606060607070606060606060415607200223650,000$
5Zakhar BardakovX100.0060606060607070606060606060405507201231650,000$
6Dawson Barteaux (A)X100.0060606060607070606060606060596106600242752,456$
7Santeri HatakkaX78.0460606060607070606060606060505806900231682,500$
8Tomas MachuX100.0060606060607070606060606060405507001212650,000$
9Daniil SobolevX100.0060606060607070606060606060405507601212700,000$
10Aidan HreschukX100.00606060606070706060606060604055072012121,250,000$
TEAM AVERAGE99.126059646161717261596161616147570760
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Hunter Jones100.006070706060606060606060536208400241716,625$
2Adam Werner100.0060707060606060606060605764077002711,502,456$
Scratches
1Arsenii Sergeev100.006070706060606060606060405509101221700,000$
TEAM AVERAGE100.00607070606060606060606050600840
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mitch Love6878767962671CAN413600,000$


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
1Kyle McDonaldBills (BUF)LW/RW2810182805335463062202716.13%1242415.186101619770000550144.68%4797001.3200322104
2Aku RatyBills (BUF)LW/RW2811152606040352459183818.64%741114.692101220850000194044.62%6593001.2602242311
3Kirill MaksimovBills (BUF)LW/RW2913112447850573989314914.61%1757919.99551017991018932151.16%43914100.8323028210
4Maxim GroshevBills (BUF)LW/RW2610142419545352760184016.67%1144417.10491316881015651036.11%3688001.0812234131
5Isak RosenBills (BUF)LW/RW2691120-61715273080224711.25%1136914.202241344000000146.99%166126001.0800003100
6Nikita AlexandrovBills (BUF)C2910919211165533475234213.33%646115.9365111886000090052.24%42569000.8202733111
7Matt CopponiBills (BUF)C266111744830383656173210.71%2037614.481452110113570147.73%308412000.9000420002
8Parker FordBills (BUF)C2641216-4272535426925455.80%1146717.991237460001470051.58%3161512000.6800131020
9Elliot EkmarkBills (BUF)C2921113398403521376195.41%32829.741232330112300051.13%26684000.9200134020
10Matvey PetrovBills (BUF)LW/RW2939122392545246020375.00%438413.250111110000130048.15%27128000.6201104000
11Antti SaarelaBills (BUF)C/LW/RW1475126373517173241421.88%418112.982246210002230058.33%4865001.3200313010
12Ville HeinolaBills (BUF)D2329110121017425119123.92%4048821.23213638000486100%01115000.4500002001
13Marcel MarcelBills (BUF)LW/RW236282282026104493013.64%126811.6600000000000050.00%895000.6001211101
14Santeri HatakkaBills (BUF)D29077-3123853047471270%3466923.08022472000393000%0526000.2100458000
15Miska KukkonenBills (BUF)D29347-511070332724121512.50%3164022.091234107000199110%01212000.2200329001
16Marek AlscherBills (BUF)D292570905034293311196.06%3260420.84224790000080200%01312000.2301433010
17Henrik RybinskiBills (BUF)C3066-11210828030%25317.86044313000040045.59%6832002.2400002000
18Raivis AnsonsBills (BUF)LW/RW26336-3551524161861116.67%326910.38112123000080153.85%1333000.4400111002
19Dawson BarteauxBills (BUF)D22235-31056524263613225.56%1343319.72202665000019000%069000.2300265000
20Andrew PerrottBills (BUF)D240558613518201016110%2040616.95000239000043000%037000.2500322000
21Zakhar BardakovBills (BUF)C314510041053220.00%34314.3600000000000049.12%5700002.3200000011
22Cole McWardBills (BUF)D10134719154561216.67%613313.350000000001000%022000.6000021000
23Cameron ButlerBills (BUF)LW/RW32022204242650.00%0289.4300000000001050.00%200001.4100000100
24Daniil SobolevBills (BUF)D5022295465310%68617.33011011000010000%013000.4600100000
25Aidan HreschukBills (BUF)D3000355221110%34214.280000000001000%02300000001000
Team Total or Average52210717928622129479065556897131253211.02%300855316.39386510315410682242986412649.76%1895168187100.67312444569111315
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
1Arsenii SergeevBills (BUF)108200.9092.466090025276167011.0003103210
2Adam WernerBills (BUF)133630.8575.017312061427230000.5008136000
3Hunter JonesBills (BUF)82500.8763.5841901252011080100620100
Team Total or Average31131330.8773.7817602111190450502112929310


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam WernerBills (BUF)G271997-05-02SWENo198 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm1,502,456$959,014$150,246$95,902$No---------------------------
Aidan HreschukBills (BUF)D212003-02-19USANo179 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$797,872$125,000$79,787$No1,250,000$--------1,250,000$--------No--------
Aku RatyBills (BUF)LW/RW232001-07-05FINNo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm735,000$469,149$73,500$46,915$No---------------------------
Andrew PerrottBills (BUF)D232001-08-24USANo201 Lbs6 ft0NoNoAssign ManuallyNoNo22025-11-28FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Antti SaarelaBills (BUF)C/LW/RW232001-06-27FINNo187 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm866,250$552,926$86,625$55,293$No---------------------------
Arsenii SergeevBills (BUF)G222002-12-16RUSNo192 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$446,809$70,000$44,681$No---------------------------
Cameron ButlerBills (BUF)LW/RW222002-06-09CANNo210 Lbs6 ft4NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Cole McWardBills (BUF)D232001-06-09USANo192 Lbs6 ft1NoNoAssign ManuallyNoNo32025-12-07FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Daniil SobolevBills (BUF)D212003-03-03RUSNo214 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm700,000$446,809$70,000$44,681$No700,000$--------700,000$--------No--------
Dawson BarteauxBills (BUF)D242000-01-12CANNo187 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm752,456$480,291$75,246$48,029$No752,456$--------752,456$--------No--------
Elliot EkmarkBills (BUF)C222002-01-29SWENo165 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm682,500$435,638$68,250$43,564$No---------------------------
Henrik RybinskiBills (BUF)C232001-06-26CANNo185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm787,500$502,660$78,750$50,266$No---------------------------
Hunter JonesBills (BUF)G242000-09-21CANNo194 Lbs6 ft4NoNoN/ANoNo12025-09-13FalseFalsePro & Farm716,625$457,420$71,662$45,742$No---------------------------
Isak RosenBills (BUF)LW/RW212003-03-15SWENo180 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,575,000$1,005,319$157,500$100,532$No1,575,000$--------1,575,000$--------No--------
Kirill MaksimovBills (BUF)LW/RW251999-06-01RUSNo194 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm716,625$457,420$71,662$45,742$No---------------------------
Kyle McDonaldBills (BUF)LW/RW222002-02-05CANNo207 Lbs6 ft4NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Marcel MarcelBills (BUF)LW/RW212003-10-31CZEYes243 Lbs6 ft2NoNoProspectNoNo22025-08-24FalseFalsePro & Farm825,000$526,596$82,500$52,660$No825,000$--------825,000$--------No--------
Marek AlscherBills (BUF)D202004-04-07CZENo190 Lbs7 ft5NoNoN/ANoNo1FalseFalsePro & Farm975,000$622,340$97,500$62,234$No---------------------------
Matt CopponiBills (BUF)C212003-06-04USAYes174 Lbs5 ft9NoNoProspectNoNo22025-08-24FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Matvey PetrovBills (BUF)LW/RW212003-03-12RUSNo179 Lbs6 ft2NoNoTrade2025-11-17NoNo22025-09-13FalseFalsePro & Farm735,000$469,149$73,500$46,915$No735,000$--------735,000$--------No--------
Maxim GroshevBills (BUF)LW/RW232001-12-14RUSNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm787,500$502,660$78,750$50,266$No---------------------------
Miska KukkonenBills (BUF)D242000-06-19FINNo203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm866,250$552,926$86,625$55,293$No---------------------------
Nikita AlexandrovBills (BUF)C242000-09-16GERNo177 Lbs6 ft1NoNoN/ANoNo22025-09-13FalseFalsePro & Farm1,155,000$737,234$115,500$73,723$No1,155,000$--------1,155,000$--------No--------
Parker FordBills (BUF)C242000-07-20USANo181 Lbs5 ft9NoNoN/ANoNo22025-09-13FalseFalsePro & Farm682,500$435,638$68,250$43,564$No682,500$--------682,500$--------No--------
Raivis AnsonsBills (BUF)LW/RW222002-01-29LATNo190 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-21FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Santeri Hatakka (Out of Payroll)Bills (BUF)D232001-01-15FINNo191 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm682,500$435,638$68,250$43,564$No---------------------------
Tomas MachuBills (BUF)D212003-03-02CZENo194 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm650,000$414,894$65,000$41,489$No650,000$--------650,000$--------No--------
Ville HeinolaBills (BUF)D232001-03-02FINNo181 Lbs6 ft0NoNoN/ANoNo22025-09-13FalseFalsePro & Farm950,000$606,383$95,000$60,638$No950,000$--------950,000$--------No--------
Zakhar BardakovBills (BUF)C232001-02-24RUSNo209 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$414,894$65,000$41,489$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2922.62192 Lbs6 ft21.69822,178$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kirill MaksimovMatt CopponiAntti Saarela28122
2Kyle McDonaldParker FordRaivis Ansons28122
3Matvey PetrovNikita AlexandrovMarcel Marcel25122
4Elliot EkmarkIsak Rosen19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ville Heinola32122
2Miska KukkonenAndrew Perrott31122
3Marek AlscherCole McWard27122
4Ville Heinola10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Kirill MaksimovMatt CopponiAntti Saarela50122
2Kyle McDonaldParker FordRaivis Ansons50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ville Heinola50122
2Miska KukkonenAndrew Perrott50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Antti SaarelaKirill Maksimov50122
2Parker FordKyle McDonald50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ville Heinola50122
2Miska KukkonenAndrew Perrott50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Antti Saarela50122Ville Heinola50122
2Parker Ford50122Miska KukkonenAndrew Perrott50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Antti SaarelaKirill Maksimov50122
2Parker FordKyle McDonald50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ville Heinola50122
2Miska KukkonenAndrew Perrott50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Kirill MaksimovMatt CopponiAntti SaarelaMarek AlscherAndrew Perrott
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Kirill MaksimovParker FordAntti SaarelaVille Heinola
Extra Forwards
Normal PowerPlayPenalty Kill
Matvey Petrov, , Isak RosenMatvey Petrov, Matvey Petrov
Extra Defensemen
Normal PowerPlayPenalty Kill
Andrew Perrott, Marek Alscher, Cole McWardAndrew PerrottAndrew Perrott, Marek Alscher
Penalty Shots
Antti Saarela, Kirill Maksimov, Kyle McDonald, Raivis Ansons, Matvey Petrov
Goalie
#1 : Hunter Jones, #2 : Adam Werner


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
1Bears1010000036-31010000036-30000000000000.0003360025453552931433930722241114178112.50%2150.00%036270551.35%34969750.07%23249347.06%581284587297594292
2Blood Miners10000010321100000103210000000000021.0003470025453553031433930722381043306233.33%4250.00%036270551.35%34969750.07%23249347.06%581284587297594292
3Bulldogs1010000024-21010000024-20000000000000.0002460025453552931433930722391218165120.00%4250.00%036270551.35%34969750.07%23249347.06%581284587297594292
4Crunch2020000059-4000000000002020000059-400.000510152025453557731433930722521466505120.00%13376.92%036270551.35%34969750.07%23249347.06%581284587297594292
5Eagles1010000047-31010000047-30000000000000.00047110025453552731433930722441833183133.33%9366.67%036270551.35%34969750.07%23249347.06%581284587297594292
6Gorillas32100000161061100000061521100000109140.6671627430025453551033143393072284261857919631.58%15286.67%036270551.35%34969750.07%23249347.06%581284587297594292
7Griffins20200000310-71010000015-41010000025-300.00034700254535565314339307227415182391218.33%16662.50%036270551.35%34969750.07%23249347.06%581284587297594292
8Gulls1010000045-1000000000001010000045-100.000461000254535535314339307223814741811100.00%12375.00%036270551.35%34969750.07%23249347.06%581284587297594292
9Moose11000000606110000006060000000000021.000610160125453553531433930722271157144375.00%60100.00%036270551.35%34969750.07%23249347.06%581284587297594292
10Octopus1010000026-4000000000001010000026-400.0002350025453552531433930722391356232150.00%8450.00%036270551.35%34969750.07%23249347.06%581284587297594292
11Phantoms1000000134-11000000134-10000000000010.5003690025453554231433930722371125183133.33%60100.00%036270551.35%34969750.07%23249347.06%581284587297594292
12Redhawks1010000068-2000000000001010000068-200.00069150025453552831433930722481223194250.00%4250.00%036270551.35%34969750.07%23249347.06%581284587297594292
13Reign1000000156-11000000156-10000000000010.50059140025453553631433930722301233178225.00%4250.00%036270551.35%34969750.07%23249347.06%581284587297594292
14Roadrunners430010002111101100000083532001000138581.00021355600254535513931433930722114461768425832.00%18761.11%136270551.35%34969750.07%23249347.06%581284587297594292
15Rocket21000100761110000004221000010034-130.7507111800254535556314339307224812544310220.00%7357.14%036270551.35%34969750.07%23249347.06%581284587297594292
16Silver Knights11000000211000000000001100000021121.000246002545355403143393072210629474125.00%20100.00%036270551.35%34969750.07%23249347.06%581284587297594292
17Titans1010000015-4000000000001010000015-400.000123002545355263143393072228131626400.00%3233.33%036270551.35%34969750.07%23249347.06%581284587297594292
18White Wolves321000001011-1321000001011-10000000000040.66710172700254535511231433930722100321807713430.77%15473.33%036270551.35%34969750.07%23249347.06%581284587297594292
19Wolf Pack10001000541100010005410000000000021.0005813002545355373143393072232123220400.00%6350.00%136270551.35%34969750.07%23249347.06%581284587297594292
Total29101302112108115-7156501012605551448011004860-12290.5001081792872125453559713143393072290630012966551403827.14%1544968.18%236270551.35%34969750.07%23249347.06%581284587297594292
_Since Last GM Reset29101302112108115-7156501012605551448011004860-12290.5001081792872125453559713143393072290630012966551403827.14%1544968.18%236270551.35%34969750.07%23249347.06%581284587297594292
_Vs Conference23910011118691-5115400011434121246011004350-7240.522861442302025453557673143393072272022810785421163227.59%1194066.39%136270551.35%34969750.07%23249347.06%581284587297594292
_Vs Division1177010104635118430001033276334010001385180.818467712301254535537231433930722362129507239561933.93%561867.86%136270551.35%34969750.07%23249347.06%581284587297594292

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2929L2108179287971906300129665521
All Games
GPWLOTWOTL SOWSOLGFGA
2910132112108115
Home Games
GPWLOTWOTL SOWSOLGFGA
156510126055
Visitor Games
GPWLOTWOTL SOWSOLGFGA
144811004860
Last 10 Games
WLOTWOTL SOWSOL
250102
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1403827.14%1544968.18%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
314339307222545355
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
36270551.35%34969750.07%23249347.06%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
581284587297594292


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
213Bills5Gorillas7LBoxScore
425White Wolves4Bills6WBoxScore
640Bills6Roadrunners4WBoxScore
859Bulldogs4Bills2LBoxScore
970Blood Miners2Bills3WXXBoxScore
14103Gorillas1Bills6WBoxScore
16117Bills3Crunch5LBoxScore
18130Bills2Griffins5LBoxScore
19142White Wolves1Bills3WBoxScore
22164Bills2Silver Knights1WBoxScore
23166Bills3Roadrunners2WXBoxScore
25183Roadrunners3Bills8WBoxScore
28202Bills5Gorillas2WBoxScore
30213Wolf Pack4Bills5WXBoxScore
34235Eagles7Bills4LBoxScore
37263Bills4Roadrunners2WBoxScore
39271Bears6Bills3LBoxScore
42294Griffins5Bills1LBoxScore
45312Bills1Titans5LBoxScore
47324Bills3Rocket4LXBoxScore
48335Phantoms4Bills3LXXBoxScore
51355Bills6Redhawks8LBoxScore
52365Reign6Bills5LXXBoxScore
55388Bills4Gulls5LBoxScore
56397Moose0Bills6WBoxScore
59419Bills2Octopus6LBoxScore
61432Rocket2Bills4WBoxScore
64457White Wolves6Bills1LBoxScore
68480Bills2Crunch4LBoxScore
69490Gorillas-Bills-
73515Silver Knights-Bills-
75531Bills-Bulldogs-
77543Bills-Gorillas-
78552Bulldogs-Bills-
81571Bills-Penguins-
84585Admirals-Bills-
86605Bills-Gorillas-
88617Redhawks-Bills-
89627Bills-Bulldogs-
92647Eagles-Bills-
94663Bills-Rocket-
96680Saints-Bills-
100710Senators-Bills-
103727Bills-Moose-
104741Bulldogs-Bills-
107760Bills-Norsemen-
109774Grisards-Bills-
113797Bills-Saints-
114806Americans-Bills-
117834Bills-Whalers-
118839Wolf Pack-Bills-
121857Bills-Mountaineers-
122870Blossom Bytes-Bills-
125891Bills-Saints-
126901Blood Miners-Bills-
129923Bills-Crunch-
131934Roadrunners-Bills-
133948Bills-Americans-
135964Blood Miners-Bills-
140995Penguins-Bills-
1421015Bills-Silver Knights-
1431026Griffins-Bills-
1451037Bills-Eagles-
1471057Redhawks-Bills-
1521087Bills-White Wolves-
1531093Crunch-Bills-
1561118Bills-White Wolves-
1571125Mountaineers-Bills-
1611155Whalers-Bills-
1661186Mountaineers-Bills-
1671199Bills-Wolves-
Trade Deadline --- Trades can’t be done after this day is simulated!
1681204Bills-Roadrunners-
1711218Octopus-Bills-
1721224Bills-Blood Miners-
1731230Bills-Griffins-
1761250Crunch-Bills-
1771253Bills-Rams-
1791267Bills-Reign-
1821283Octopus-Bills-
1831286Bills-Griffins-
1841296Bills-Blood Miners-
1861309Bills-Reign-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price2710
Attendance37,50082,500
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
26 8000 - 100.00% 147,000$2,205,000$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
1,060,878$ 2,316,066$ 2,316,066$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
15,511$ 1,060,878$ 28 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
3,822,000$ 120 15,511$ 1,861,320$




Bills Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bills Goalies Stat Leaders (Regular Season)

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

Bills Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Bills Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Bills Goalies Stat Leaders (Play-Off)

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