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Sens
GP: 2 | W: 0 | L: 1 | OTL: 1 | P: 1
GF: 7 | GA: 9 | PP%: 42.86% | PK%: 66.67%
GM : David - Interims GM | Morale : 96 | Team Overall : N/A
Next Games #41 vs Moose

Game Center
Norsemen
1-0-0, 2pts
3
FINAL
2 Sens
0-1-1, 1pts
Team Stats
W1StreakSOL1
0-0-0Home Record0-1-0
1-0-0Home Record0-0-1
1-0-0Last 10 Games0-1-1
3.00Goals Per Game3.50
2.00Goals Against Per Game4.50
16.67%Power Play Percentage42.86%
0.00%Penalty Kill Percentage66.67%
Sens
0-1-1, 1pts
5
FINAL
6 Americans
1-0-0, 2pts
Team Stats
SOL1StreakW1
0-1-0Home Record1-0-0
0-0-1Home Record0-0-0
0-1-1Last 10 Games1-0-0
3.50Goals Per Game6.00
4.50Goals Against Per Game5.00
42.86%Power Play Percentage50.00%
66.67%Penalty Kill Percentage66.67%
Moose
1-0-0, 2pts
Day 5
Sens
0-1-1, 1pts
Team Stats
W1StreakSOL1
0-0-0Home Record0-1-0
1-0-0Away Record0-0-1
1-0-0Last 10 Games0-1-1
6.00Goals Per Game3.50
4.00Goals Against Per Game3.50
30.00%Power Play Percentage42.86%
50.00%Penalty Kill Percentage66.67%
Sens
0-1-1, 1pts
Day 7
Phantoms
0-1-0, 0pts
Team Stats
SOL1StreakL1
0-1-0Home Record0-0-0
0-0-1Away Record0-1-0
0-1-1Last 10 Games0-1-0
3.50Goals Per Game5.00
4.50Goals Against Per Game5.00
42.86%Power Play Percentage0.00%
66.67%Penalty Kill Percentage20.00%
Sens
0-1-1, 1pts
Day 8
Wolves
1-0-0, 2pts
Team Stats
SOL1StreakW1
0-1-0Home Record1-0-0
0-0-1Away Record0-0-0
0-1-1Last 10 Games1-0-0
3.50Goals Per Game6.00
4.50Goals Against Per Game6.00
42.86%Power Play Percentage80.00%
66.67%Penalty Kill Percentage100.00%
Team Leaders
Goals
Kevin Hayes
4
Assists
Alex Bump
3
Points
Kevin Hayes
5
Plus/Minus
Kevin Hayes
1
Wins
Anson Thornton
0
Save Percentage
Anson Thornton
0.885

Team Stats
Goals For
7
3.50 GFG
Shots For
71
35.50 Avg
Power Play Percentage
42.9%
3 GF
Offensive Zone Start
36.7%
Goals Against
9
4.50 GAA
Shots Against
80
40.00 Avg
Penalty Kill Percentage
66.7%%
4 GA
Defensive Zone Start
37.4%
Team Info

General ManagerDavid - Interims GM
CoachJeff Halpern
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,500
Attendance8,500
Season Tickets850


Roster Info

Pro Team39
Farm Team21
Contract Limit60 / 65
Prospects21


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
1Joseph LaBateX100.0073506866857677626862637365667209600321800,000$
2Aidan McDonoughXX100.00606060606070706060606060605668096002621,722,405$
3Rafael Harvey-PinardXX100.00605091706778916361636365655864093002611,350,000$
4Joshua RoyXX100.0066509071737689656165656965516009600222826,875$
5Kevin HayesXXX100.0071509376827978727167696868656809300331880,000$
6Lukas ReichelXX100.00635093796579877264686867655060096002311,700,000$
7Sam LaffertyX100.0071509163787578676865656765616809300303800,000$
8Tyson JostX100.0069509175717991716466687766546509300273900,000$
9Carter MazurXX100.00715095667577776561656569654257096002331,150,000$
10Kyle MacLeanX100.0075548966727787697465657065435809300263820,000$
11Alex BumpX100.0061508970747986696169686865465709300221700,000$
12Maxim StrbakX100.00606060606070706060606060604659096002031,550,000$
13Simon LundmarkX100.00665091637383876125626073655561096002521,128,685$
14Michael CallahanX100.00605091667479896325646173655464096002621,600,855$
15Theo LindsteinXX100.00605092647482946625676670654257096012011,250,000$
16Scott MorrowX97.00635094777982897325706569654257096012331,450,000$
17Zayne ParekhX97.00645093826884827425677368654857096001921,500,000$
18Konnor SmithX100.0060606060607070606060606060565909600212825,000$
Scratches
1Bradley MarekXXX100.0060606060607070606060606060506109700251800,000$
2Lucas CondottaXX100.0060606060607070606060606060465909700281650,000$
3Lucas CionaXX100.0060606060607070606060606060465909700222800,000$
4Jesse NurmiXX100.0060606060607070606060606060465909701201750,000$
5Topi RonniX100.0060606060607070606060606060465909701211975,000$
6Marek VanackerX100.00606060606070706060606060605259097001921,500,000$
7Andrei LoshkoX100.0060606060607070606060606060545909700212750,000$
8Joey WillisXX100.0060606060607070606060606060525909700202750,000$
9Nolan AllanX100.00606060606070706060606060605661097002231,250,000$
10Kyle MastersX100.0060606060607070606060606060465909700221800,000$
11Artur CholachX100.0060606060607070606060606060476009700221800,000$
12Dmitry KuzminX100.0060606060607070606060606060476009700221800,000$
13Gavin WhiteX100.0060606060607070606060606060465909700232800,000$
14Frederic BrunetXX100.0060606060607070606060606060465909701221825,000$
15Charlie ElickX100.00606060606070706060606060605764097001921,250,000$
16Dominik BadinkaX100.00606060606070706060606060605059097002021,250,000$
TEAM AVERAGE99.826356736566747763566362646251610960
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.
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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
1Anson Thornton97.006070706060606060606060496109600222800,000$
2Philip Svedeback100.006070706060606060606060556109700231750,000$
Scratches
1Tristan Jarry91.3868817882766570667565736471088003012,520,000$
2Kevin Reidler100.006070706060606060606060496109800212900,000$
3Damian Clara100.006070706060606060606060515609801201975,000$
TEAM AVERAGE97.60627272646361626163616354620950
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Halpern7075777263681USA502600,000$


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
1Kevin HayesSens (OTT)C/LW/RW2415100341121036.36%14422.0130364000180054.55%1121012.2700000100
2Alex BumpSens (OTT)LW21340753370314.29%13115.7902224000000033.33%301002.5301010000
3Lukas ReichelSens (OTT)LW/RW2033-200706350%14221.0802214000190050.00%201001.4201000000
4Simon LundmarkSens (OTT)D2022100031010%24221.070111400009000%002000.9500000000
5Tyson JostSens (OTT)C2022020253010%04321.7600014000080047.83%4611000.9200000000
6Rafael Harvey-PinardSens (OTT)LW/RW21010551260416.67%12512.820000000000000%000000.7800010000
7Michael CallahanSens (OTT)D2011120241000%43919.650000400008000%011000.5100000000
8Kyle MacLeanSens (OTT)C21010401482612.50%03517.9000000000060057.14%2101000.5600000000
9Maxim StrbakSens (OTT)D2000020411000%02814.450000000000000%00200000000000
10Joseph LaBateSens (OTT)C2000140522010%12010.0700000000000035.71%140000000000000
11Aidan McDonoughSens (OTT)LW/RW2000080724010%13417.44000000000000100.00%11000000000000
12Joshua RoySens (OTT)LW/RW2000000123360%02512.910000400000000%01100000000000
13Sam LaffertySens (OTT)C2000000002000%02010.3400000000000037.50%400000000000000
14Carter MazurSens (OTT)LW/RW2000055101000%2178.8400004000000050.00%20000000001000
15Theo LindsteinSens (OTT)C/D2000000101000%073.7700000000030014.29%70100000000000
16Scott MorrowSens (OTT)D2000-100212220%65728.720000400009000%02200000000000
17Zayne ParekhSens (OTT)D2000-2003411620%45728.840001400029000%03200011000000
18Konnor SmithSens (OTT)D2000155001000%22412.430000000000000%01100000001000
Team Total or Average36712190442043377118429.86%2659916.6635812440004770044.22%1471217010.6313022100
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
1Tristan JarrySens (OTT)10000.9293.08390022816000010000
2Anson ThorntonSens (OTT)20110.8854.29840065231000.333311000
Team Total or Average30110.9003.87124008804700321000


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
Aidan McDonoughSens (OTT)LW/RW261999-11-06USANo190 Lbs6 ft3NoNoN/ANoNo22026-08-19FalseFalsePro & Farm1,722,405$1,702,607$172,240$170,260$No1,722,405$--------1,722,405$--------No--------
Alex BumpSens (OTT)LW222003-11-20USANo195 Lbs6 ft0NoNoProspectNoNo12025-08-30FalseFalsePro & Farm700,000$691,954$70,000$69,195$No---------------------------
Andrei LoshkoSens (OTT)RW212004-10-07BLRNo183 Lbs5 ft11NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$741,379$75,000$74,138$No750,000$--------750,000$--------No--------
Anson ThorntonSens (OTT)G222003-06-28CANNo181 Lbs6 ft3NoNoN/ANoNo22026-08-19FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Artur CholachSens (OTT)D222003-06-06UKRNo193 Lbs7 ft7NoNoAssign Manually2024-12-30NoNo12026-09-11FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Bradley MarekSens (OTT)C/LW/RW252000-11-13USANo212 Lbs6 ft3NoNoN/ANoNo12026-08-19FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Carter MazurSens (OTT)LW/RW232002-03-28USANo200 Lbs6 ft0NoNoN/ANoNo32026-08-19FalseFalsePro & Farm1,150,000$1,136,782$115,000$113,678$No1,150,000$1,150,000$-------1,150,000$1,150,000$-------NoNo-------
Charlie ElickSens (OTT)D192006-01-17AUTNo205 Lbs6 ft2NoNoDraftNoNo22025-08-20FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Damian ClaraSens (OTT)G202005-01-13ITANo214 Lbs6 ft6NoNoProspectNoNo12024-08-27FalseFalsePro & Farm975,000$963,793$97,500$96,379$No---------------------------
Dmitry KuzminSens (OTT)D222003-04-23BLRNo187 Lbs5 ft10NoNoAssign Manually2025-10-20NoNo12026-09-11FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Dominik BadinkaSens (OTT)D202005-11-27CZENo205 Lbs6 ft1NoNoDraftNoNo22025-08-30FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$--------1,250,000$--------No--------
Frederic BrunetSens (OTT)C/D222003-08-21CANNo196 Lbs6 ft3NoNoProspectNoNo12024-08-27FalseFalsePro & Farm825,000$815,517$82,500$81,552$No---------------------------
Gavin WhiteSens (OTT)D232002-11-12CANNo192 Lbs6 ft1NoNoN/ANoNo22026-08-19FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Jesse NurmiSens (OTT)LW/RW202005-03-07FINNo172 Lbs6 ft0NoNoProspectNoNo12024-08-27FalseFalsePro & Farm750,000$741,379$75,000$74,138$No---------------------------
Joey WillisSens (OTT)C/LW202005-05-14USANo185 Lbs5 ft9NoNoProspectNoNo22025-08-30FalseFalsePro & Farm750,000$741,379$75,000$74,138$No750,000$--------750,000$--------No--------
Joseph LaBateSens (OTT)C321993-04-16USANo225 Lbs6 ft5NoNoAssign ManuallyNoNo12026-09-29FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Joshua RoySens (OTT)LW/RW222003-08-06CANNo192 Lbs6 ft0NoNoN/ANoNo22026-08-19FalseFalsePro & Farm826,875$817,371$82,688$81,738$No826,875$--------826,875$--------No--------
Kevin HayesSens (OTT)C/LW/RW331992-05-08USANo217 Lbs6 ft3NoNoAssign ManuallyNoNo12026-09-28FalseFalsePro & Farm880,000$869,885$88,000$86,989$No---------------------------
Kevin ReidlerSens (OTT)G212004-09-02SWENo203 Lbs6 ft4NoNoAssign ManuallyNoNo22026-07-14FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$--------900,000$--------No--------
Konnor SmithSens (OTT)D212004-11-06CANNo216 Lbs6 ft4NoNoProspectNoNo22025-08-20FalseFalsePro & Farm825,000$815,517$82,500$81,552$No825,000$--------825,000$--------No--------
Kyle MacLeanSens (OTT)C261999-04-29USANo190 Lbs6 ft1NoNoAssign ManuallyNoNo32026-09-29FalseFalsePro & Farm820,000$810,575$82,000$81,057$No820,000$820,000$-------820,000$820,000$-------NoNo-------
Kyle MastersSens (OTT)D222003-04-09CANNo183 Lbs6 ft8NoNoAssign ManuallyNoNo12026-09-11FalseFalsePro & Farm800,000$790,805$80,000$79,080$No---------------------------
Lucas CionaSens (OTT)LW/RW222003-01-08CANNo223 Lbs6 ft3NoNoN/ANoNo22026-08-19FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$--------800,000$--------No--------
Lucas CondottaSens (OTT)LW/RW281997-11-06CANNo218 Lbs6 ft1NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$642,529$65,000$64,253$No---------------------------
Lukas ReichelSens (OTT)LW/RW232002-05-17GERNo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm1,700,000$1,680,460$170,000$168,046$No---------------------------
Marek VanackerSens (OTT)LW192006-04-12CANNo170 Lbs5 ft11NoNoDraftNoNo22025-08-20FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No1,500,000$--------1,500,000$--------No--------
Maxim StrbakSens (OTT)D202005-04-13NANo203 Lbs6 ft0NoNoAssign ManuallyNoNo32026-07-14FalseFalsePro & Farm1,550,000$1,532,184$155,000$153,218$No1,550,000$1,550,000$-------1,550,000$1,550,000$-------NoNo-------
Michael CallahanSens (OTT)D261999-09-23USANo195 Lbs6 ft2NoNoN/ANoNo22026-08-19FalseFalsePro & Farm1,600,855$1,582,454$160,086$158,246$No1,600,855$--------1,600,855$--------No--------
Nolan AllanSens (OTT)D222003-04-28CANNo195 Lbs6 ft2NoNoN/ANoNo32025-09-08FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Philip SvedebackSens (OTT)G232002-05-28SWENo209 Lbs6 ft2NoNoProspectNoNo12025-08-30FalseFalsePro & Farm750,000$741,379$75,000$74,138$No---------------------------
Rafael Harvey-PinardSens (OTT)LW/RW261999-01-06CANNo179 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm1,350,000$1,334,483$135,000$133,448$No---------------------------
Sam LaffertySens (OTT)C301995-03-06USANo205 Lbs6 ft2NoNoAssign ManuallyNoNo32026-09-29FalseFalsePro & Farm800,000$790,805$80,000$79,080$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Scott MorrowSens (OTT)D232002-11-01USANo210 Lbs6 ft2NoNoProspectNoNo32026-08-19FalseFalsePro & Farm1,450,000$1,433,333$145,000$143,333$No1,450,000$1,450,000$-------1,450,000$1,450,000$-------NoNo-------
Simon LundmarkSens (OTT)D252000-10-08SWENo190 Lbs6 ft2NoNoN/ANoNo22026-08-19FalseFalsePro & Farm1,128,685$1,115,712$112,868$111,571$No1,128,685$--------1,128,685$--------No--------
Theo LindsteinSens (OTT)C/D202005-01-05SWENo197 Lbs6 ft0NoNoProspectNoNo12024-08-27FalseFalsePro & Farm1,250,000$1,235,632$125,000$123,563$No---------------------------
Topi RonniSens (OTT)C212004-05-05FINNo185 Lbs6 ft2NoNoProspectNoNo12024-08-27FalseFalsePro & Farm975,000$963,793$97,500$96,379$No---------------------------
Tristan Jarry (Out of Payroll)Sens (OTT)G301995-04-29CANNo201 Lbs6 ft4NoNoAssign ManuallyNoNo12025-10-22FalseFalsePro & Farm2,520,000$2,491,034$252,000$249,103$No---------------------------
Tyson JostSens (OTT)C271998-03-14CANNo187 Lbs5 ft11NoNoAssign ManuallyNoNo32026-09-29FalseFalsePro & Farm900,000$889,655$90,000$88,966$No900,000$900,000$-------900,000$900,000$-------NoNo-------
Zayne ParekhSens (OTT)D192006-02-15CANNo179 Lbs6 ft0NoNoTrade2026-09-08NoNo22025-08-20FalseFalsePro & Farm1,500,000$1,482,759$150,000$148,276$No1,500,000$--------1,500,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3923.28196 Lbs6 ft21.741,067,918$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex BumpTyson JostKevin Hayes28122
2Rafael Harvey-PinardKyle MacLeanLukas Reichel28122
3Aidan McDonoughSam LaffertyJoshua Roy25122
4Aidan McDonoughJoseph LaBateCarter Mazur19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhScott Morrow28122
2Michael CallahanKonnor Smith28122
3Simon LundmarkMaxim Strbak25122
4Zayne ParekhScott Morrow19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alex BumpKevin HayesLukas Reichel50122
2Carter MazurTyson JostJoshua Roy50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhScott Morrow50122
2Michael CallahanSimon Lundmark50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tyson JostKevin Hayes50122
2Kyle MacLeanLukas Reichel50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhScott Morrow50122
2Michael CallahanSimon Lundmark50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Tyson Jost50122Zayne ParekhScott Morrow50122
2Kevin Hayes50122Michael CallahanSimon Lundmark50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Kevin HayesAlex Bump50122
2Tyson JostLukas Reichel50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Zayne ParekhScott Morrow50122
2Michael CallahanSimon Lundmark50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alex BumpKevin HayesLukas ReichelZayne ParekhScott Morrow
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alex BumpTyson JostLukas ReichelZayne ParekhMichael Callahan
Extra Forwards
Normal PowerPlayPenalty Kill
Joseph LaBate, Rafael Harvey-Pinard, Theo LindsteinTheo Lindstein, Joshua RoyTheo Lindstein
Extra Defensemen
Normal PowerPlayPenalty Kill
Simon Lundmark, Michael Callahan, Konnor SmithKonnor SmithMaxim Strbak, Konnor Smith
Penalty Shots
Zayne Parekh, Alex Bump, Lukas Reichel, Kevin Hayes, Aidan McDonough
Goalie
#1 : Anson Thornton, #2 : Philip Svedeback


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
1Americans1000000156-1000000000001000000156-110.5005914002321401724294401222236233.33%6350.00%0235442.59%265547.27%163842.11%422244203818
2Norsemen1010000023-11010000023-10000000000000.0002350023213117242944014222011100.00%6183.33%0235442.59%265547.27%163842.11%422244203818
Total2010000179-21010000023-11000000156-110.25071219002321711724294802644437342.86%12466.67%0235442.59%265547.27%163842.11%422244203818
_Since Last GM Reset2010000179-21010000023-11000000156-110.25071219002321711724294802644437342.86%12466.67%0235442.59%265547.27%163842.11%422244203818
_Vs Conference2010000179-21010000023-11000000156-110.25071219002321711724294802644437342.86%12466.67%0235442.59%265547.27%163842.11%422244203818

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
21SOL171219718026444300
All Games
GPWLOTWOTL SOWSOLGFGA
201000179
Home Games
GPWLOTWOTL SOWSOLGFGA
101000023
Visitor Games
GPWLOTWOTL SOWSOLGFGA
100000156
Last 10 Games
WLOTWOTL SOWSOL
010001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
7342.86%12466.67%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
17242942321
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
235442.59%265547.27%163842.11%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
422244203818


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
15Norsemen3Sens2LBoxScore
215Sens5Americans6LXXBoxScore
541Moose-Sens-
756Sens-Phantoms-
866Sens-Wolves-
972Sens-Whalers-
1192Grisards-Sens-
15116Phantoms-Sens-
16132Sens-Whalers-
19147Sens-Titans-
20158Wolves-Sens-
23179Grisards-Sens-
28205Moose-Sens-
31227Sens-Phantoms-
33242Rams-Sens-
35257Sens-Wolf Pack-
37269Phantoms-Sens-
39291Sens-Bears-
41302Gulls-Sens-
43324Blood Miners-Sens-
45336Sens-Phantoms-
48355Bills-Sens-
50372Sens-Whalers-
52386Titans-Sens-
57418Whalers-Sens-
58428Sens-Reign-
62451Whalers-Sens-
64474Sens-Americans-
65481Admirals-Sens-
68500Sens-Eagles-
69512Rams-Sens-
72534Sens-Gulls-
74545White Wolves-Sens-
77567Sens-Americans-
78579Mountaineers-Sens-
81601Sens-Blossom Bytes-
82612Bears-Sens-
85627Sens-Gulls-
88645Moose-Sens-
90659Sens-Mountaineers-
91675Roadrunners-Sens-
94698Sens-Titans-
96706Bulldogs-Sens-
98718Sens-Saints-
100736Sens-Pens-
101745Wolves-Sens-
104768Sens-Blossom Bytes-
105776Americans-Sens-
108801Bears-Sens-
111821Sens-Saints-
112832Sens-Redhawks-
114844Blossom Bytes-Sens-
117867Grisards-Sens-
121893Sens-Crunch-
122901Americans-Sens-
124915Sens-Moose-
126930Pens-Sens-
129949Sens-Wolves-
130962Silver Knights-Sens-
131971Sens-Rams-
134991Sens-Wolves-
1361003Griffins-Sens-
1391024Sens-Bills-
1401033Rocket-Sens-
1431057Sens-Admirals-
1441065Pens-Sens-
1481091Octopus-Sens-
1511115Sens-Gorillas-
1531125Norsemen-Sens-
1571150Sens-Moose-
1581157Norsemen-Sens-
1611174Sens-Norsemen-
1631187Sens-Admirals-
1641191Wolf Pack-Sens-
1651193Sens-Grisards-
1661201Sens-Norsemen-
Trade Deadline --- Trades can’t be done after this day is simulated!
1691225Sens-Grisards-
1721240Wolf Pack-Sens-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity35005000
Ticket Price3515
Attendance3,5005,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
38 8500 - 100.00% 237,000$237,000$8500100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
51,872$ 3,912,882$ 3,912,882$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
25,936$ 51,872$ 38 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
9,006,000$ 172 25,936$ 4,460,992$




Sens 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

Sens Goalies Stat Leaders (Regular Season)

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

Sens 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

Sens 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

Sens Goalies Stat Leaders (Play-Off)

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