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Rams
GP: 3 | W: 3 | L: 0 | OTL: 0 | P: 6
GF: 16 | GA: 7 | PP%: 50.00% | PK%: 90.00%
GM : Chris | Morale : 99 | Team Overall : N/A
Next Games #65 vs Gulls

Game Center
Norsemen
3-0-1, 7pts
3
FINAL
4 Rams
3-0-0, 6pts
Team Stats
W1StreakW3
2-0-0Home Record2-0-0
1-0-1Home Record1-0-0
3-0-1Last 10 Games3-0-0
3.50Goals Per Game5.33
2.00Goals Against Per Game2.33
40.00%Power Play Percentage50.00%
100.00%Penalty Kill Percentage90.00%
Rams
3-0-0, 6pts
7
FINAL
2 Admirals
0-3-0, 0pts
Team Stats
W3StreakL3
2-0-0Home Record0-2-0
1-0-0Home Record0-1-0
3-0-0Last 10 Games0-3-0
5.33Goals Per Game2.33
2.33Goals Against Per Game6.33
50.00%Power Play Percentage14.29%
90.00%Penalty Kill Percentage61.54%
Rams
3-0-0, 6pts
Day 9
Gulls
2-1-0, 4pts
Team Stats
W3StreakW2
2-0-0Home Record2-0-0
1-0-0Away Record0-1-0
3-0-0Last 10 Games2-1-0
5.33Goals Per Game4.33
2.33Goals Against Per Game4.33
50.00%Power Play Percentage17.65%
90.00%Penalty Kill Percentage62.50%
Penguins
1-2-0, 2pts
Day 11
Rams
3-0-0, 6pts
Team Stats
L2StreakW3
0-1-0Home Record2-0-0
1-1-0Away Record1-0-0
1-2-0Last 10 Games3-0-0
2.00Goals Per Game5.33
3.00Goals Against Per Game5.33
23.08%Power Play Percentage50.00%
83.33%Penalty Kill Percentage90.00%
Wolf Pack
1-2-0, 2pts
Day 14
Rams
3-0-0, 6pts
Team Stats
L2StreakW3
1-0-0Home Record2-0-0
0-2-0Away Record1-0-0
1-2-0Last 10 Games3-0-0
2.00Goals Per Game5.33
3.67Goals Against Per Game5.33
16.67%Power Play Percentage50.00%
81.25%Penalty Kill Percentage90.00%
Team Leaders
Goals
Aatu Raty
4
Assists
Aatu Raty
5
Points
Aatu Raty
9
Plus/Minus
Scott Sabourin
5
Wins
Alexandar Georgiev
3
Save Percentage
Alexandar Georgiev
0.914

Team Stats
Goals For
16
5.33 GFG
Shots For
96
32.00 Avg
Power Play Percentage
50.0%
4 GF
Offensive Zone Start
36.4%
Goals Against
7
2.33 GAA
Shots Against
81
27.00 Avg
Penalty Kill Percentage
90.0%%
1 GA
Defensive Zone Start
32.7%
Team Info

General ManagerChris
CoachTodd Reirden
DivisionAtlantic Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,601
Season Tickets800


Roster Info

Pro Team34
Farm Team20
Contract Limit54 / 65
Prospects13


Filter Tips
PriorityTypeDescription
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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
# 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
1Ben JonesX100.0075589261717592656165657065566309900251950,000$
2Scott SabourinXX100.0066507965797792626162617165695709900323650,000$
3Taylor MakarXXX100.0060606060607070606060606060455909900233650,000$
4Pavol RegendaXX100.0060606060607070606060606060475709900251840,000$
5Noah PhilpX99.0062509070767692687168686865525709900263900,000$
6Aatu RatyX100.00795091807377937386667270654655099002241,500,000$
7Eduard SaleXX100.00606060606070706060606060604055099011921,500,000$
8Sandis VilmanisXX100.0060606060607070606060606060405509901202825,000$
9Tomas MazuraX100.0060606060607070606060606060405509901241650,000$
10Carson BantleXX100.0060606060607070606060606060405509901221700,000$
11Matteo CostantiniX100.0060606060607070606060606060405509901221750,000$
12Noah Laba (R)X100.0060606060607070606060606060465509900212750,000$
13John KlingbergX100.0060606060607070606060606060657209800323650,000$
14Andrej SustrX100.0060606060607070606060606060667209900341650,000$
15Kyle CapobiancoX100.0062508473767890652568617065616609900273650,000$
16Marc-Andre GaudetX100.0060606060607070606060606060405509900211750,000$
17Simon NemecX100.00605090757281887025657070654055099002011,500,000$
18Jeremie BiakabutukaX100.0060606060607070606060606060405509900221800,000$
Scratches
1Lukas RousekXX100.0060606060607070606060606060515709600251771,750$
2Chase StillmanXX100.00606060606070706060606060604655096002121,575,000$
3Lukas SvejkovskyXXX100.0060606060607070606060606060485509600232787,500$
4Ryder RolstonXXX100.0060606060607070606060606060405509600231750,000$
5Petr HauserXX100.0060606060607070606060606060405509601212750,000$
6Joel Maatta (R)X100.0060606060607070606060606060485509600222650,000$
7Mason MillmanX100.00606060606070706060606060605357096002311,023,750$
8Keaton MiddletonX100.00735689639178876625656574655863096002621,550,000$
9Ryan MastX100.0060606060607070606060606060465509600212787,500$
10Sawyer MynioX100.0060606060607070606060606060405509601192975,000$
11Jakub DvorakX100.00606060606070706060606060604055096011921,250,000$
TEAM AVERAGE99.976258676264727562586161636148580980
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
1Alexandar Georgiev100.0065868473896771677365916068099002826,583,000$
2Dylan Wells100.006070706060606060606060616909900261840,000$
Scratches
1Vyacheslav Peksa100.006070706060606060606060405509800221650,000$
2Aku Koskenvuo (R)100.006070706060606060606060465509800212825,000$
3Topias Leinonen (R)100.0060707060606060606060604655098002031,250,000$
TEAM AVERAGE100.00617373636661626163616651600980
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Todd Reirden6972718474761USA563600,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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 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
1Aatu RatyRams (BOS)C345930033243816.67%17324.5230336000071050.00%3852012.4501000110
2Scott SabourinRams (BOS)LW/RW33475755381737.50%15518.58022150000600100.00%201002.5100100100
3Noah PhilpRams (BOS)C3055-2008412150%27424.8402226000270045.45%4411001.3401000000
4Eduard SaleRams (BOS)LW/RW31454206251320.00%24816.18022250000000100.00%400002.0600000002
5Ben JonesRams (BOS)C331430056114527.27%25317.9900000000160061.54%2610001.4811000110
6Simon NemecRams (BOS)D31342551663316.67%67725.711011400007100%013001.0400100000
7Taylor MakarRams (BOS)C/LW/RW31120005350520.00%04816.06011060000001100.00%310000.8300000010
8Carson BantleRams (BOS)LW/RW32022202464233.33%04615.5600000000000050.00%220000.8600000000
9John KlingbergRams (BOS)D301111210354010%55719.140001600006000%001000.3500110000
10Andrej SustrRams (BOS)D3011255131120%36020.270110600007000%004000.3300100000
11Kyle CapobiancoRams (BOS)D3011300421100%38127.170000600007000%026000.2501000000
12Jeremie BiakabutukaRams (BOS)D3011240041110%14715.790000000000000%002000.4200000000
13Sandis VilmanisRams (BOS)LW/RW3011220633040%04715.680000000000000%200000.4300000000
14Pavol RegendaRams (BOS)LW/RW3000000835010%24715.9100006000000040.00%50000000000000
15Marc-Andre GaudetRams (BOS)D300011210241000%14515.270000100000000%00000000002000
16Tomas MazuraRams (BOS)C3000-100200010%093.2700000000000050.00%20000000000000
17Matteo CostantiniRams (BOS)C3000-220033020%1248.1100000000000043.24%370000000000000
18Noah LabaRams (BOS)C3000000000000%051.690000000000000%00000000000000
Team Total or Average54152843255335615896205015.63%3090516.76481210610003572150.91%1651320010.9514412332
Filter Tips
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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
# 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 GeorgievRams (BOS)33000.9142.271850078146001.000330000
Team Total or Average33000.9142.27185007814600330000


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
Aatu RatyRams (BOS)C222002-11-14FINNo190 Lbs6 ft2NoNoN/ANoNo42025-09-08FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$1,500,000$------1,500,000$1,500,000$1,500,000$------NoNoNo------
Aku KoskenvuoRams (BOS)G212003-02-26FINYes201 Lbs6 ft2NoNoProspectNoNo22025-08-20FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Alexandar GeorgievRams (BOS)G281996-02-10RUSNo178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm6,583,000$6,337,888$658,300$633,789$No6,583,000$--------6,583,000$--------No--------
Andrej Sustr (1 Way Contract)Rams (BOS)D341990-11-29CZENo217 Lbs6 ft7NoNoAssign ManuallyNoNo12025-11-10FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Ben JonesRams (BOS)C251999-02-26CANNo187 Lbs6 ft0NoNoN/ANoNo12025-09-08FalseFalsePro & Farm950,000$914,628$95,000$91,463$No---------------------------
Carson BantleRams (BOS)LW/RW222002-01-22USANo100 Lbs4 ft0NoNoProspectNoNo12024-08-31FalseFalsePro & Farm700,000$673,936$70,000$67,394$No---------------------------
Chase StillmanRams (BOS)LW/RW212003-03-19CANNo185 Lbs6 ft1NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,575,000$1,516,356$157,500$151,636$No1,575,000$--------1,575,000$--------No--------
Dylan WellsRams (BOS)G261998-01-03CANNo183 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm840,000$808,723$84,000$80,872$No---------------------------
Eduard SaleRams (BOS)LW/RW192005-03-10CZENo170 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$--------1,500,000$--------No--------
Jakub DvorakRams (BOS)D192005-05-25CZENo183 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$--------1,250,000$--------No--------
Jeremie BiakabutukaRams (BOS)D222002-05-03CANNo203 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm800,000$770,213$80,000$77,021$No---------------------------
Joel MaattaRams (BOS)C222002-07-06FINYes205 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
John KlingbergRams (BOS)D321992-08-14SWENo190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Keaton MiddletonRams (BOS)D261998-02-10CANNo240 Lbs6 ft6NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,550,000$1,492,287$155,000$149,229$No1,550,000$--------1,550,000$--------No--------
Kyle CapobiancoRams (BOS)D271997-08-13CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Lukas RousekRams (BOS)LW/RW251999-04-20CZENo171 Lbs5 ft11NoNoN/ANoNo12025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No---------------------------
Lukas SvejkovskyRams (BOS)C/LW/RW232001-11-23USANo170 Lbs5 ft9NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$758,178$78,750$75,818$No787,500$--------787,500$--------No--------
Marc-Andre GaudetRams (BOS)D212003-10-24CANNo191 Lbs6 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Mason MillmanRams (BOS)D232001-07-18CANNo176 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,023,750$985,632$102,375$98,563$No---------------------------
Matteo CostantiniRams (BOS)C222002-08-16CANNo172 Lbs6 ft0NoNoProspectNoNo12024-08-31FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Noah LabaRams (BOS)C212003-08-04USAYes192 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Noah PhilpRams (BOS)C261998-08-01CANNo198 Lbs6 ft3NoNoAssign ManuallyNoNo32025-10-20FalseFalsePro & Farm900,000$866,489$90,000$86,649$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Pavol RegendaRams (BOS)LW/RW251999-12-07SVKNo211 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm840,000$808,723$84,000$80,872$No---------------------------
Petr HauserRams (BOS)LW/RW212003-09-19CZENo207 Lbs6 ft4NoNoProspectNoNo22024-08-31FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Ryan MastRams (BOS)D212003-01-14USANo212 Lbs6 ft4NoNoN/ANoNo22025-09-08FalseFalsePro & Farm787,500$758,178$78,750$75,818$No787,500$--------787,500$--------No--------
Ryder RolstonRams (BOS)C/LW/RW232001-10-31USANo188 Lbs7 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$722,074$75,000$72,207$No---------------------------
Sandis VilmanisRams (BOS)LW/RW202004-01-23LATNo192 Lbs6 ft2NoNoTrade2025-09-01NoNo2FalseFalsePro & Farm825,000$794,282$82,500$79,428$No825,000$--------825,000$--------No--------
Sawyer MynioRams (BOS)D192005-04-30CANNo181 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm975,000$938,697$97,500$93,870$No975,000$--------975,000$--------No--------
Scott SabourinRams (BOS)LW/RW321992-07-30CANNo207 Lbs6 ft4NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Simon NemecRams (BOS)D202004-02-15SVKNo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No---------------------------
Taylor MakarRams (BOS)C/LW/RW232001-03-13CANNo190 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Tomas MazuraRams (BOS)C242000-09-23CZENo205 Lbs6 ft4NoNoProspectNoNo12024-08-31FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Topias LeinonenRams (BOS)G202004-01-25FINYes234 Lbs6 ft3NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,250,000$1,203,457$125,000$120,346$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Vyacheslav PeksaRams (BOS)G222002-08-27RUSNo191 Lbs6 ft9NoNoN/ANoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3423.44191 Lbs6 ft21.821,078,926$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Scott SabourinAatu RatyEduard Sale28122
2Pavol RegendaNoah PhilpTaylor Makar28122
3Sandis VilmanisBen JonesCarson Bantle25122
4Aatu RatyMatteo CostantiniNoah Philp19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoSimon Nemec28122
2Andrej SustrJohn Klingberg28122
3Marc-Andre GaudetJeremie Biakabutuka25122
4Kyle CapobiancoSimon Nemec19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Scott SabourinAatu RatyEduard Sale50122
2Pavol RegendaNoah PhilpTaylor Makar50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoSimon Nemec50122
2Andrej SustrJohn Klingberg50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Aatu RatyNoah Philp50122
2Ben JonesScott Sabourin50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoSimon Nemec50122
2Andrej SustrJohn Klingberg50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Aatu Raty50122Kyle CapobiancoSimon Nemec50122
2Noah Philp50122Andrej SustrJohn Klingberg50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Aatu RatyNoah Philp50122
2Ben JonesScott Sabourin50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Kyle CapobiancoSimon Nemec50122
2Andrej SustrJohn Klingberg50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Scott SabourinAatu RatyEduard SaleKyle CapobiancoSimon Nemec
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Scott SabourinAatu RatyEduard SaleKyle CapobiancoSimon Nemec
Extra Forwards
Normal PowerPlayPenalty Kill
Tomas Mazura, Noah Laba, Matteo CostantiniTomas Mazura, Noah LabaMatteo Costantini
Extra Defensemen
Normal PowerPlayPenalty Kill
Marc-Andre Gaudet, Jeremie Biakabutuka, Andrej SustrMarc-Andre GaudetJeremie Biakabutuka, Andrej Sustr
Penalty Shots
Aatu Raty, Noah Philp, Ben Jones, Scott Sabourin, Matteo Costantini
Goalie
#1 : Alexandar Georgiev, #2 : Dylan Wells


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
1Admirals11000000725000000000001100000072521.00071421003841272939274331223244250.00%40100.00%0246040.00%335461.11%275152.94%592963306130
2Norsemen10000010431100000104310000000000021.0004480038413629392742992424100.00%30100.00%0246040.00%335461.11%275152.94%592963306130
3Titans11000000523110000005230000000000021.000510150038413329392741996133266.67%3166.67%0246040.00%335461.11%275152.94%592963306130
Total320000101679210000109541100000072561.000162844003841962939274813053618450.00%10190.00%0246040.00%335461.11%275152.94%592963306130
_Since Last GM Reset320000101679210000109541100000072561.000162844003841962939274813053618450.00%10190.00%0246040.00%335461.11%275152.94%592963306130
_Vs Conference320000101679210000109541100000072561.000162844003841962939274813053618450.00%10190.00%0246040.00%335461.11%275152.94%592963306130

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
36W3162844968130536100
All Games
GPWLOTWOTL SOWSOLGFGA
3200010167
Home Games
GPWLOTWOTL SOWSOLGFGA
210001095
Visitor Games
GPWLOTWOTL SOWSOLGFGA
110000072
Last 10 Games
WLOTWOTL SOWSOL
300000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
8450.00%10190.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
29392743841
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
246040.00%335461.11%275152.94%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
592963306130


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
316Titans2Rams5WBoxScore
534Norsemen3Rams4WXXBoxScore
639Rams7Admirals2WBoxScore
965Rams-Gulls-
1180Penguins-Rams-
14102Wolf Pack-Rams-
17121Rams-Whalers-
18134Blossom Bytes-Rams-
21156Rams-Titans-
23167Titans-Rams-
27194Gulls-Rams-
29209Rams-Whalers-
31221Rams-Wolves-
33230Rams-Gulls-
34239Bears-Rams-
37261Norsemen-Rams-
40276Rams-Americans-
42296Whalers-Rams-
44308Rams-Reign-
47329White Wolves-Rams-
49340Rams-Bears-
51357Rams-Gulls-
52366Wolves-Rams-
55389Wolf Pack-Rams-
57405Rams-Titans-
60423Roadrunners-Rams-
62443Rams-Crunch-
64453Bears-Rams-
66470Rams-Grisards-
69486Redhawks-Rams-
73510Rams-Norsemen-
74523Wolf Pack-Rams-
78546Rams-Admirals-
79555Grisards-Rams-
83581Rocket-Rams-
86603Rams-Grisards-
88614Mountaineers-Rams-
91641Phantoms-Rams-
92653Rams-Phantoms-
95674Americans-Rams-
97685Rams-Americans-
99701Rams-Penguins-
100711Blood Miners-Rams-
103728Rams-Penguins-
105742Moose-Rams-
107758Rams-Moose-
109773Rams-Eagles-
110777Moose-Rams-
113799Rams-Bears-
114809Senators-Rams-
117827Rams-Senators-
119841Whalers-Rams-
121855Rams-Silver Knights-
123875Norsemen-Rams-
125887Rams-Senators-
127904Rams-Whalers-
128911Bears-Rams-
131937Blossom Bytes-Rams-
134958Rams-Gorillas-
136969Blossom Bytes-Rams-
139992Rams-White Wolves-
1401001Saints-Rams-
1431028Admirals-Rams-
1451034Rams-Admirals-
1471053Rams-Phantoms-
1481064Penguins-Rams-
1531094Octopus-Rams-
1551110Rams-Saints-
1571126Penguins-Rams-
1581133Rams-Griffins-
1611158Titans-Rams-
1661188Titans-Rams-
Trade Deadline --- Trades can’t be done after this day is simulated!
1681203Rams-Wolf Pack-
1711220Admirals-Rams-
1721229Rams-Bulldogs-
1751243Rams-Wolf Pack-
1771253Bills-Rams-
1781261Rams-Blossom Bytes-
1811282Gulls-Rams-
1831288Rams-Wolves-
1841293Rams-Bulldogs-
1861306Rams-Blossom Bytes-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3414
Attendance4,78410,417
Attendance PCT95.68%94.70%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 7601 - 95.01% 185,097$370,193$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
156,506$ 3,603,350$ 3,603,350$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
22,358$ 156,506$ 33 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
7,218,764$ 181 22,358$ 4,046,798$




Rams 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

Rams Goalies Stat Leaders (Regular Season)

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

Rams 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

Rams 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

Rams Goalies Stat Leaders (Play-Off)

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