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

Senators
GP: 75 | W: 32 | L: 29 | OTL: 14 | P: 78
GF: 213 | GA: 236 | PP%: 25.86% | PK%: 69.89%
GM : Brendan Cwik | Morale : 38 | Team Overall : 57
Next Games #1167 vs IceHogs

Game Center
Senators
32-29-14, 78pts
0
1 Marlies
32-30-12, 76pts
Team Stats
L2StreakW2
18-11-8Home Record16-16-6
14-18-6Home Record16-14-6
3-5-2Last 10 Games6-4-0
2.84Goals Per Game2.03
3.15Goals Against Per Game2.55
25.86%Power Play Percentage24.07%
69.89%Penalty Kill Percentage69.33%
Senators
32-29-14, 78pts
1
3 Griffins
38-20-16, 92pts
Team Stats
L2StreakW2
18-11-8Home Record22-10-6
14-18-6Home Record16-10-10
3-5-2Last 10 Games4-2-4
2.84Goals Per Game2.84
3.15Goals Against Per Game2.88
25.86%Power Play Percentage29.45%
69.89%Penalty Kill Percentage75.58%
IceHogs
27-30-18, 72pts
Day 95
Senators
32-29-14, 78pts
Team Stats
L1StreakL2
15-15-8Home Record18-11-8
12-15-10Away Record14-18-6
3-5-2Last 10 Games3-5-2
2.03Goals Per Game2.84
2.67Goals Against Per Game2.84
29.53%Power Play Percentage25.86%
71.26%Penalty Kill Percentage69.89%
Senators
32-29-14, 78pts
Day 96
Bruins
43-23-10, 96pts
Team Stats
L2StreakW2
18-11-8Home Record21-10-6
14-18-6Away Record22-13-4
3-5-2Last 10 Games6-3-1
2.84Goals Per Game2.24
3.15Goals Against Per Game2.24
25.86%Power Play Percentage29.76%
69.89%Penalty Kill Percentage65.91%
IceHogs
27-30-18, 72pts
Day 97
Senators
32-29-14, 78pts
Team Stats
L1StreakL2
15-15-8Home Record18-11-8
12-15-10Away Record14-18-6
3-5-2Last 10 Games3-5-2
2.03Goals Per Game2.84
2.67Goals Against Per Game2.84
29.53%Power Play Percentage25.86%
71.26%Penalty Kill Percentage69.89%
Team Leaders
Goals
Brad Lambert
33
Assists
Brad Lambert
44
Points
Brad Lambert
77
Plus/Minus
Luke Reid
10
Wins
Ales Stezka
20
Save Percentage
Akira Schmid
0.843

Team Stats
Goals For
213
2.84 GFG
Shots For
1714
22.85 Avg
Power Play Percentage
25.9%
45 GF
Offensive Zone Start
38.8%
Goals Against
236
3.15 GAA
Shots Against
1466
19.55 Avg
Penalty Kill Percentage
69.9%%
56 GA
Defensive Zone Start
32.4%
Team Info

General ManagerBrendan Cwik
CoachBob Woods
DivisionDivision 2
ConferenceConference 1
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,173
Season Tickets1,500


Roster Info

Pro Team23
Farm Team18
Contract Limit41 / 100
Prospects117


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
1Alexandre TexierXX100.0067429076746254662465736180666766176402611,000,000$
2Tyson Kozak (R)X100.007743978169566963706367692547476643630231850,000$
3Logan Brown (R)X99.0086868666865654668063656961464664296202831,530,000$
4Hunter Haight (R)X100.0073668868687883597352626158464659766102231,314,000$
5Brad Lambert (R)X100.0071658775677783607164526046464657746102211,200,000$
6Nate SmithX100.0071658265657377587156555951464657575902731,409,000$
7Brendan Brisson (R)XXX100.007371787373677156695751604648485555590241925,000$
8Jakub BrabenecX100.0076699467717277516549516048464656455702231,107,000$
9Massimo Rizzo (R)X100.0075679366696163536851505948464655585602431,341,000$
10Cross HanasX100.007671876673525253504656615346465649550241925,000$
11Henri NikkanenX100.008377996278383550645145644446465332530251925,000$
12Lukas SvejkovskyX100.006860868262363251503761565846465464530241925,000$
13Daemon Hunt (R)X100.007874886976707553254844613848485264610231902,500$
14Hunter McDonald (R)X100.0074786066807886502541446039464650616002331,192,000$
15Simon LundmarkX100.0076728564727481472537415939464651615902531,161,000$
16Mac HollowellX100.006561756661697354255440563746465164570271971,000$
17Aleksi Heimosalmi (R)X100.0069638766656773462535415640464650565602331,277,000$
18Luke Reid (R)X100.0077709982724547402526385937464647595502431,338,000$
19Hardy Haman AktellX100.0075748263744241492546386037464648595402731,154,000$
Scratches
1Gavin HainX100.0073698262694140506344506048444454205102631,096,000$
2Adam MechuraXXX100.0080739981743230435538436242454551205102311,000,000$
TEAM AVERAGE99.95746787707159625350495161464747555157
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
1Akira Schmid100.004852658346475054474895484950565302531,272,000$
2Ales Stezka100.005148608052494853505130464549575302911,000,000$
Scratches
TEAM AVERAGE100.0050506382494849544950634747505753
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Bob Woods40404040404040CAN5211,000,000$


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
1Brad LambertSenators (OTT)C75334477534201081472246111814.73%23151320.1861016201131123973255.67%7856722101.0214121387
2Tyson KozakSenators (OTT)C60203959-201210641021786911211.24%22117019.5021517231160001382157.79%2895219101.0103110352
3Alexandre TexierSenators (OTT)LW/RW67233356-1095911031757310313.14%28124918.65461016891127853134.63%9245517000.9046010523
4Brendan BrissonSenators (OTT)C/LW/RW692722490612510379163429416.56%17113416.4463918750116524152.88%2084921000.8605104248
5Hunter HaightSenators (OTT)C7520284892420113105131498315.27%22146519.544711201160004704159.46%745016000.6614211222
6Nate SmithSenators (OTT)C751925448491512398126379315.08%22144619.294812111151017372047.01%1172819010.6125012812
7Logan BrownSenators (OTT)C53132235-236207475104497712.50%1694017.7453812460003204162.87%4042514000.7413112405
8Daemon HuntSenators (OTT)D758233106040991209847438.16%69185824.782025104011297110%02943000.3300035001
9Hunter McDonaldSenators (OTT)D7562127-101947012810310439315.77%82185724.765510151620004104000%02344000.2900257120
10Mac HollowellSenators (OTT)D7531922-1802067765234265.77%43141718.91281010161011181000%01127100.3100112110
11Cross HanasSenators (OTT)LW75109190195997352134519.23%995712.770333340111112044.70%2171117000.4001010121
12Jakub BrabenecSenators (OTT)C68991811515685257182615.79%882212.101237401014353052.38%63149010.4412021100
13Lukas SvejkovskySenators (OTT)RW7510616-61410666683265412.05%8105814.11000080002571136.36%333311000.3000101010
14Massimo RizzoSenators (OTT)C757815-151210828562174711.29%16115315.392247480001170257.69%521911000.2602002010
15Simon LundmarkSenators (OTT)D7521012-1710755841045221193.85%62170822.78202397000368000%01833000.1401128010
16Hardy Haman AktellSenators (OTT)D7505513715343516990%1885211.36000010000026000%0212000.1200111000
17Adam MechuraSenators (OTT)C/LW/RW28033-300101514770%22167.7200000000000050.00%1265000.2801000000
18Aleksi HeimosalmiSenators (OTT)D75022-180305217850%3496512.88000010001149000%0120000.0400000000
19Henri NikkanenSenators (OTT)C54011000382210%01082.0100002000000050.00%2400000.1800000000
20Luke ReidSenators (OTT)D75011100016104220%44836.450000000003000%016000.0400000000
21Gavin HainSenators (OTT)C27000000000000%0100.410000000000000%10000000000000
Team Total or Average1401210330540-5177135514621508171462399512.25%5052239215.98457211717013434610501057291149.24%3203494366320.481037122237313031
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
1Ales StezkaSenators (OTT)51201990.8402.82289524136848513610.609235016202
2Domenic DiVincentiisSenators2512850.8513.2614010176509287300.61513250010
3Akira SchmidSenators (OTT)100200.8434.002550017108662000059000
Team Total or Average863229140.8443.024553252291465866111367575212


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 MechuraSenators (OTT)C/LW/RW232003-01-31CZENo194 Lbs6 ft3NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$169,643$0$0$No---------------------------Link
Akira SchmidSenators (OTT)G252000-05-12SUINo190 Lbs6 ft5NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,272,000$215,786$0$0$No1,272,000$1,272,000$-------1,272,000$1,272,000$-------NoNo-------Link
Aleksi HeimosalmiSenators (OTT)D232003-05-08FINYes170 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,277,000$216,634$0$0$No1,277,000$1,277,000$-------1,277,000$1,277,000$-------NoNo-------Link
Ales StezkaSenators (OTT)G291997-01-06CZENo190 Lbs6 ft4NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$169,643$0$0$No---------------------------Link
Alexandre TexierSenators (OTT)LW/RW261999-09-13FRANo201 Lbs6 ft1NoNoAssign ManuallyNoNo12025-12-08FalseFalsePro & Farm1,000,000$169,643$0$0$No---------------------------Link
Brad LambertSenators (OTT)C222003-12-19FINYes173 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,200,000$203,571$0$0$No---------------------------Link
Brendan BrissonSenators (OTT)C/LW/RW242001-10-22USAYes198 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm925,000$156,920$0$0$No---------------------------Link
Cross HanasSenators (OTT)LW242002-01-05USANo190 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm925,000$156,920$0$0$No---------------------------Link
Daemon HuntSenators (OTT)D232002-05-15CANYes201 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm902,500$153,103$0$0$No---------------------------Link
Gavin HainSenators (OTT)C262000-04-03USANo194 Lbs5 ft11NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,096,000$185,929$0$0$No1,096,000$1,096,000$-------1,096,000$1,096,000$-------NoNo-------Link
Hardy Haman AktellSenators (OTT)D271998-07-04SWENo198 Lbs6 ft3NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,154,000$195,768$0$0$No1,154,000$1,154,000$-------1,154,000$1,154,000$-------NoNo-------Link
Henri NikkanenSenators (OTT)C252001-04-28FINNo200 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm925,000$156,920$0$0$No---------------------------Link
Hunter HaightSenators (OTT)C222004-04-04CANYes181 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,314,000$222,911$0$0$No1,314,000$1,314,000$-------1,314,000$1,314,000$-------NoNo-------Link
Hunter McDonaldSenators (OTT)D232002-05-11USAYes205 Lbs6 ft4NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,192,000$202,214$0$0$No1,192,000$1,192,000$-------1,192,000$1,192,000$-------NoNo-------Link
Jakub BrabenecSenators (OTT)C222003-09-11CZENo185 Lbs6 ft1NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,107,000$187,795$0$0$No1,107,000$1,107,000$-------1,107,000$1,107,000$-------NoNo-------Link
Logan BrownSenators (OTT)C281998-03-05USAYes222 Lbs6 ft7NoNoDraftNoNo32025-10-22FalseFalsePro & Farm1,530,000$259,554$0$0$No1,530,000$1,530,000$-------1,530,000$1,530,000$-------NoNo-------Link
Lukas SvejkovskySenators (OTT)RW242001-11-28USANo165 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm925,000$156,920$0$0$No---------------------------Link
Luke ReidSenators (OTT)D242001-09-26CANYes192 Lbs6 ft0NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,338,000$226,982$0$0$No1,338,000$1,338,000$-------1,338,000$1,338,000$-------NoNo-------Link
Mac HollowellSenators (OTT)D271998-09-26CANNo170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm971,000$164,723$0$0$No---------------------------Link
Massimo RizzoSenators (OTT)C242001-06-13CANYes185 Lbs5 ft11NoNoProspectNoNo32025-10-22FalseFalsePro & Farm1,341,000$227,491$0$0$No1,341,000$1,341,000$-------1,341,000$1,341,000$-------NoNo-------Link
Nate SmithSenators (OTT)C271998-10-19USANo177 Lbs6 ft0NoNoN/ANoNo32025-10-22FalseFalsePro & Farm1,409,000$239,027$0$0$No1,409,000$1,409,000$-------1,409,000$1,409,000$-------NoNo-------Link
Simon LundmarkSenators (OTT)D252000-10-08SWENo193 Lbs6 ft2NoNoN/ANoNo32025-10-17FalseFalsePro & Farm1,161,000$196,955$0$0$No1,161,000$1,161,000$-------1,161,000$1,161,000$-------NoNo-------Link
Tyson KozakSenators (OTT)C232002-12-29CANYes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm850,000$144,196$0$0$No---------------------------Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2324.61190 Lbs6 ft12.041,122,370$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Tyson KozakLogan BrownMassimo Rizzo40122
2Hunter HaightBrad LambertNate Smith30122
3Tyson KozakLogan BrownMassimo Rizzo20122
4Lukas SvejkovskyAlexandre TexierBrad Lambert10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter McDonaldSimon Lundmark40122
2Daemon HuntMac Hollowell30122
3Daemon HuntAleksi Heimosalmi20122
4Luke ReidDaemon Hunt10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Logan BrownTyson KozakMassimo Rizzo60122
2Hunter HaightBrad LambertNate Smith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter McDonaldMac Hollowell60122
2Daemon HuntSimon Lundmark40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Brad LambertHunter Haight60122
2Massimo RizzoNate Smith40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter McDonaldAleksi Heimosalmi60122
2Daemon HuntMac Hollowell40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Brad Lambert60122Simon LundmarkDaemon Hunt60122
2Hunter Haight40122Hunter McDonaldLuke Reid40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Hunter HaightTyson Kozak60122
2Brad LambertMassimo Rizzo40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Hunter McDonaldDaemon Hunt60122
2Luke ReidAleksi Heimosalmi40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Hunter HaightTyson KozakBrad LambertDaemon HuntHunter McDonald
Extra Forwards
Normal PowerPlayPenalty Kill
Brad Lambert, Hunter Haight, Massimo RizzoBrad Lambert, Hunter HaightLukas Svejkovsky
Extra Defensemen
Normal PowerPlayPenalty Kill
Hardy Haman Aktell, Hunter McDonald, Daemon HuntDaemon HuntSimon Lundmark, Daemon Hunt
Penalty Shots
Massimo Rizzo, Tyson Kozak, Nate Smith, Brad Lambert, Hunter Haight
Goalie
#1 : Ales Stezka, #2 : Akira Schmid


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
1Admirals310010101284210010008531000001043161.00012162801367493176839660069261461821503133.33%8450.00%2609122549.71%526102151.52%44290848.68%135956313708351826875
2Americans2110000068-2110000005411010000014-320.500691500367493175539660069261361626466350.00%8275.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
3Barracuda613001011522-72010010047-3412000011115-440.333152439103674931716039660069261134496711719526.32%21671.43%0609122549.71%526102151.52%44290848.68%135956313708351826875
4Bears2110000023-11010000002-21100000021120.500246003674931725396600692615217929100.00%20100.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
5Bruins2000010135-21000000112-11000010023-120.500347003674931745396600692613211842000%4175.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
6Canucks2010100045-11010000013-21000100032120.50047110036749317343966006926142923297228.57%4175.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
7Checkers21000001541110000003121000000123-130.750571200367493172139660069261261214364250.00%20100.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
8Comets311010001275110000006152010100066040.66712183000367493179739660069261493057666350.00%11281.82%0609122549.71%526102151.52%44290848.68%135956313708351826875
9Condors42200000914-52200000072520200000212-1040.50091423013674931778396600692618333516512325.00%9277.78%0609122549.71%526102151.52%44290848.68%135956313708351826875
10Crunch21000100431110000004221000010001-130.75046100036749317343966006926122528353266.67%4175.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
11Eagles2100001013582100001013580000000000041.0001318310036749317513966006926147915475120.00%5180.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
12Griffins2010000169-31000000156-11010000013-210.25061016003674931746396600692614717444912216.67%7357.14%0609122549.71%526102151.52%44290848.68%135956313708351826875
13Gulls2010000125-31000000123-11010000002-210.25023500367493171939660069261301526355120.00%30100.00%1609122549.71%526102151.52%44290848.68%135956313708351826875
14Heat20200000610-41010000035-21010000035-200.0006713003674931741396600692614182538300.00%5260.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
15IceHogs41200100914-50000000000041200100914-530.375914230036749317123396600692618329447913430.77%12741.67%0609122549.71%526102151.52%44290848.68%135956313708351826875
16Islanders21100000810-2110000005321010000037-420.5008152300367493174439660069261641812337228.57%6266.67%0609122549.71%526102151.52%44290848.68%135956313708351826875
17Marlies21100000211110000002021010000001-120.50024601367493172339660069261205933300.00%20100.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
18Monsters4210010012102311001008801100000042250.625121830003674931786396600692614518221089444.44%70100.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
19Moose22000000514110000002021100000031241.000571201367493173539660069261117113311100.00%30100.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
20Penguins22000000716110000003031100000041341.00071118013674931756396600692611122644200.00%3166.67%0609122549.71%526102151.52%44290848.68%135956313708351826875
21Phantoms30100101914-520100100711-41000000123-120.33391524003674931777396600692616320316210220.00%8275.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
22Reign1010000036-31010000036-30000000000000.0003580036749317323966006926141101320200.00%4325.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
23Roadrunners10001000651000000000001000100065121.00061117003674931738396600692613881019500.00%5260.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
24Rocket503010101723-62000101097230300000816-840.4001726430036749317138396600692611083238927228.57%14564.29%1609122549.71%526102151.52%44290848.68%135956313708351826875
25Silver Knights200011007701000010023-11000100054130.7507101700367493174539660069261331215454250.00%5340.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
26Stars2010100046-21010000025-31000100021120.50046100036749317323966006926133112294250.00%10100.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
27Thunderbirds2020000058-31010000012-11010000046-200.000581300367493174039660069261882722426116.67%6183.33%0609122549.71%526102151.52%44290848.68%135956313708351826875
28Wild2110000048-41010000006-61100000042220.50047110036749317303966006926165292325200.00%4175.00%0609122549.71%526102151.52%44290848.68%135956313708351826875
29Wolf Pack210001009541000010023-11100000072530.750915240036749317493966006926125144240700.00%6266.67%0609122549.71%526102151.52%44290848.68%135956313708351826875
30Wolves3120000079-2211000006601010000013-220.333711180036749317923966006926151143974600.00%7271.43%0609122549.71%526102151.52%44290848.68%135956313708351826875
Total75222907836213236-23371411025231141086388180531399128-29780.5202133305431536749317171439660069261146650577314621744525.86%1865669.89%4609122549.71%526102151.52%44290848.68%135956313708351826875
_Since Last GM Reset75222907836213236-23371411025231141086388180531399128-29780.5202133305431536749317171439660069261146650577314621744525.86%1865669.89%4609122549.71%526102151.52%44290848.68%135956313708351826875
_Vs Conference43111704713114137-231965014125253-124512033016284-22420.48811417729111367493171030396600692618023004838521002828.00%1113370.27%2609122549.71%526102151.52%44290848.68%135956313708351826875
_Vs Division186120231158553833012102623310390110132320220.6115887145023674931741739660069261411138148324391025.64%441663.64%2609122549.71%526102151.52%44290848.68%135956313708351826875

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
7578L221333054317141466505773146215
All Games
GPWLOTWOTL SOWSOLGFGA
7522297836213236
Home Games
GPWLOTWOTL SOWSOLGFGA
3714112523114108
Visitor Games
GPWLOTWOTL SOWSOLGFGA
38818531399128
Last 10 Games
WLOTWOTL SOWSOL
350101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1744525.86%1865669.89%4
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
3966006926136749317
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
609122549.71%526102151.52%44290848.68%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
135956313708351826875


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
19Senators3IceHogs2WBox score
216Senators2Barracuda3LXXBox score
333Comets1Senators6WBox score
551Monsters4Senators7WBox score
771Wolves5Senators2LBox score
989Senators3Barracuda6LBox score
10104Phantoms7Senators4LBox score
11121Senators3Rocket6LBox score
12134Wolves1Senators4WBox score
13151Senators2IceHogs5LBox score
14161Senators3Rocket4LBox score
15177Eagles3Senators10WBox score
17197Monsters2Senators0LBox score
18209Senators2Comets3LBox score
19225Admirals5Senators6WXBox score
20243Senators1Condors6LBox score
22259Rocket4Senators5WXBox score
24279Senators4Wild2WBox score
25290Bruins2Senators1LXXBox score
26307Senators3Heat5LBox score
27321Senators3Moose1WBox score
28334Moose0Senators2WBox score
30356Checkers1Senators3WBox score
31374Senators4Thunderbirds6LBox score
32387Phantoms4Senators3LXBox score
33400Senators6Roadrunners5WXBox score
34415Islanders3Senators5WBox score
35432Thunderbirds2Senators1LBox score
37447Senators4Admirals3WXXBox score
38468Silver Knights3Senators2LXBox score
39475Senators4Monsters2WBox score
40492Senators3Islanders7LBox score
41510Reign6Senators3LBox score
42526Monsters2Senators1LXBox score
43536Senators4Penguins1WBox score
45561Griffins6Senators5LXXBox score
46575Senators3Canucks2WXBox score
47592Americans4Senators5WBox score
48612Senators1Condors6LBox score
49625Senators2Phantoms3LXXBox score
50633Marlies0Senators2WBox score
51653Senators5Silver Knights4WXBox score
52665Eagles2Senators3WXXBox score
53683Admirals0Senators2WBox score
54701Senators0Gulls2LBox score
56716Gulls3Senators2LXXBox score
57733Senators1Americans4LBox score
58745Senators0Crunch1LXBox score
59756Wild6Senators0LBox score
60774Senators2Stars1WXBox score
61784Senators2Bears1WBox score
63797Bears2Senators0LBox score
65819Penguins0Senators3WBox score
66831Senators2Rocket6LBox score
67849Canucks3Senators1LBox score
68863Senators7Wolf Pack2WBox score
70879Wolf Pack3Senators2LXBox score
71897Senators1IceHogs3LBox score
72910Heat5Senators3LBox score
74925Senators4Comets3WXBox score
75941Rocket3Senators4WXXBox score
77961Senators2Bruins3LXBox score
78967Senators1Wolves3LBox score
79983Crunch2Senators4WBox score
811002Senators3IceHogs4LXBox score
821013Senators1Barracuda3LBox score
831025Condors2Senators3WBox score
841045Barracuda3Senators2LXBox score
861064Barracuda4Senators2LBox score
871077Senators5Barracuda3WBox score
881087Senators2Checkers3LXXBox score
901105Stars5Senators2LBox score
911127Condors0Senators4WBox score
921134Senators0Marlies1LBox score
931150Senators1Griffins3LBox score
951167IceHogs-Senators-
961177Senators-Bruins-
Trade Deadline --- Trades can’t be done after this day is simulated!
971196IceHogs-Senators-
981209Senators-Eagles-
1001223Senators-Wolves-
1011234Wolves-Senators-
1031258Comets-Senators-
1051284Comets-Senators-
1061290Senators-Monsters-
1081308Roadrunners-Senators-
1091315Senators-Reign-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance52,19928,214
Attendance PCT70.54%76.25%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
6 2173 - 72.44% 90,615$3,352,760$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
3,001,544$ 2,581,450$ 2,581,450$ 1,000,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
23,049$ 2,171,240$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
543,691$ 19 31,977$ 607,563$




Senators 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

Senators Goalies Stat Leaders (Regular Season)

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

Senators 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

Senators 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

Senators Goalies Stat Leaders (Play-Off)

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