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

Senators
GP: 62 | W: 31 | L: 24 | OTL: 7 | P: 69
GF: 222 | GA: 238 | PP%: 36.29% | PK%: 70.80%
GM : NFHL | Morale : 94 | Team Overall : N/A
Next Games #981 vs Penguins

Game Center
Grisards
30-27-5, 65pts
2
FINAL
3 Senators
31-24-7, 69pts
Team Stats
W1StreakW2
18-11-1Home Record15-9-6
12-16-4Home Record16-15-1
6-3-1Last 10 Games4-6-0
3.81Goals Per Game3.58
3.95Goals Against Per Game3.84
26.98%Power Play Percentage36.29%
72.73%Penalty Kill Percentage70.80%
Senators
31-24-7, 69pts
3
FINAL
2 Blood Miners
29-25-6, 64pts
Team Stats
W2StreakSOL2
15-9-6Home Record17-11-3
16-15-1Home Record12-14-3
4-6-0Last 10 Games2-4-4
3.58Goals Per Game3.17
3.84Goals Against Per Game3.42
36.29%Power Play Percentage24.58%
70.80%Penalty Kill Percentage71.48%
Senators
31-24-7, 69pts
Day 138
Penguins
33-25-4, 70pts
Team Stats
W2StreakL1
15-9-6Home Record16-13-1
16-15-1Away Record17-12-3
4-6-0Last 10 Games4-3-3
3.58Goals Per Game3.27
3.84Goals Against Per Game3.27
36.29%Power Play Percentage28.33%
70.80%Penalty Kill Percentage69.43%
Americans
28-27-6, 62pts
Day 139
Senators
31-24-7, 69pts
Team Stats
W1StreakW2
14-11-5Home Record15-9-6
14-16-1Away Record16-15-1
7-2-1Last 10 Games4-6-0
3.46Goals Per Game3.58
3.87Goals Against Per Game3.58
32.95%Power Play Percentage36.29%
69.49%Penalty Kill Percentage70.80%
Whalers
23-31-5, 51pts
Day 141
Senators
31-24-7, 69pts
Team Stats
OTL1StreakW2
11-19-1Home Record15-9-6
12-12-4Away Record16-15-1
3-5-2Last 10 Games4-6-0
3.44Goals Per Game3.58
4.27Goals Against Per Game3.58
29.87%Power Play Percentage36.29%
64.79%Penalty Kill Percentage70.80%
Team Leaders
Goals
Olle Lycksell
39
Assists
Anthony Richard
38
Points
Olle Lycksell
69
Plus/Minus
Gavin White
5
Wins
Philip Svedeback
22
Save Percentage
Ivan Prosvetov
0.896

Team Stats
Goals For
222
3.58 GFG
Shots For
1899
30.63 Avg
Power Play Percentage
36.3%
90 GF
Offensive Zone Start
37.0%
Goals Against
238
3.84 GAA
Shots Against
1905
30.73 Avg
Penalty Kill Percentage
70.8%%
73 GA
Defensive Zone Start
35.9%
Team Info

General ManagerNFHL
CoachJeff Halpern
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance7,381
Season Tickets800


Roster Info

Pro Team32
Farm Team21
Contract Limit53 / 65
Prospects17


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
1Aidan McDonoughXX100.0060606060607070606060606060506408700251926,100$
2Rafael Harvey-PinardXX100.00625092686875836261646167655662076002521,350,000$
3Bradley MarekXXX100.0060606060607070606060606060445705400241682,500$
4Olle LycksellXX100.0060509273627889716272706665526008000251826,875$
5Anthony RichardX100.0060508872707988696170696765686907300281650,000$
6Lucas CondottaXX100.0063508267827592647366636965405507700272650,000$
7Carter MazurXX100.0060509171657576646164646565405507400221975,000$
8Dalibor DvorskyXXX100.00605092707676906468646365654055086011921,500,000$
9Joey Willis (R)XX100.0060606060607070606060606060465505500193750,000$
10Nolan AllanX99.00725092777482897225686575655057076002141,250,000$
11Simon LundmarkX100.00606060606070706060606060605359081002411,074,938$
12Nikolai KnyzhovX100.0060606060607070606060606060495904700261882,000$
13Michael CallahanX99.0060568962768189662567657165526208600251810,338$
14Drew BavaroX100.0060606060607070606060606060405506300241750,000$
15Theo LindsteinXX100.00606060606070706060606060604055071011921,250,000$
16Frederic BrunetXX100.0062509169758192622563617365405507701212825,000$
17Scott MorrowX100.00605086737982916825706769654055081012211,250,000$
18Dominik Badinka (R)X100.00606060606070706060606060604455054001931,250,000$
Scratches
1Zack MacEwenXX100.0078668566867583696165677065566406500281650,000$
2Lucas CionaXX100.0060606060607070606060606060405505400211700,000$
3Sean TschigerlXX100.0060606060607070606060606060405503100211975,000$
4Jesse NurmiXX100.0060606060607070606060606060405505901192750,000$
5Topi RonniX100.0060606060607070606060606060405504701202975,000$
6Marek Vanacker (R)X100.00606060606070706060606060604655058001831,500,000$
7Andrei Loshko (R)X100.0060606060607070606060606060485507500203750,000$
8Alex Bump (R)X100.0060606060607070606060606060445505800212700,000$
9Gavin WhiteX100.0060606060607070606060606060405504200221750,000$
10Konnor Smith (R)X100.0060606060607070606060606060505505700203825,000$
TEAM AVERAGE99.936157716465737763566362636246570660
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
1Damian Clara100.006070706060606060606060425008001192975,000$
Scratches
1Ivan Prosvetov100.006070706060606060606060526308000251826,875$
2Anson Thornton100.006070706060606060606060405506800211650,000$
3Philip Svedeback (R)91.076070706060606060606060465506500222750,000$
TEAM AVERAGE97.75607070606060606060606045560730
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Halpern6477778163681USA493600,000$


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
1Olle LycksellSenators (OTT)LW/RW59393069-14633570782396112716.32%35120320.4118133155155112121374151.13%3973312131.1517115841
2Anthony RichardSenators (OTT)C59243862-1229574832206010110.91%18119920.341018283511801141044249.33%9733524011.0336100265
3Dalibor DvorskySenators (OTT)C/LW/RW62282957121159296168499116.67%20115118.57161834361561014813050.96%7302815010.9911102126
4Carter MazurSenators (OTT)LW/RW5922315321006878130428516.92%3099116.814141812962024492044.89%1762613001.0701000541
5Nolan AllanSenators (OTT)D62143650-174030839916473718.54%84161926.127142121164033717921100.00%14249000.6222114432
6Zack MacEwenSenators (OTT)LW/RW59212647-18905011777176447811.93%31119120.206111728152011131443148.03%4061522100.7916343310
7Rafael Harvey-PinardSenators (OTT)LW/RW60222143-328207952120427218.33%23102517.0910122221144101182239.47%38209000.8414121224
8Lucas CondottaSenators (OTT)LW/RW50122739-672209282114397510.53%1894818.9781523191071126983147.22%72127000.8222003222
9Michael CallahanSenators (OTT)D6262127-24633550888331337.23%66145723.503811131610004174100%12040000.3701304011
10Scott MorrowSenators (OTT)D5952025-5723048778039366.25%71128621.81369101250115139000%03232000.3900222010
11Frederic BrunetSenators (OTT)C/D5041822-17161049717332325.48%52106821.3838111411701111150216.67%241521000.4114200110
12Aidan McDonoughSenators (OTT)LW/RW5671017-181052568487324469.59%1480014.300002220000340051.91%1311211000.4200302111
13Andrei LoshkoSenators (OTT)RW38411152631556385117197.84%1348812.86000021012130149.09%11049000.6100003003
14Simon LundmarkSenators (OTT)D60178-686405052318123.23%3590215.05112576000063000%0916000.1800215010
15Marek VanackerSenators (OTT)LW23617-749152593972615.38%623510.2401125000003138.10%2176000.5900201100
16Alex BumpSenators (OTT)LW47235-1190403422237238.70%73958.41101222000000046.67%10538000.2512152000
17Joey WillisSenators (OTT)C/LW28055-220101615235100%31977.0400000000000051.65%9102000.5100020000
18Drew BavaroSenators (OTT)D33033-1125517307640%947514.410000100005000%0410000.1300010000
19Theo LindsteinSenators (OTT)C/D260331195182312460%1034813.3900006000030037.50%1614000.1700100000
20Konnor SmithSenators (OTT)D19033120015108780%1426213.840000000007000%016000.2300000000
21Dominik BadinkaSenators (OTT)D260331642014159210%1327110.4300000011016000%006000.2200121000
22Bradley MarekSenators (OTT)C/LW/RW23022-117512815390%41667.2300003000190058.33%3610000.2400010000
23Lucas CionaSenators (OTT)LW/RW25022-242202920156170%22389.56000000000100081.25%1624000.1700112000
24Charlie ElickSenatorsD21022240311010%1512.450000000001000%021000.7800000000
25Nikolai KnyzhovSenators (OTT)D11011-137151135110%211010.0101116000011000%003000.1800201000
26Sean TschigerlSenators (OTT)LW/RW7011-28012102120%28712.4500000000000041.67%2402000.2300000000
27Jesse NurmiSenators (OTT)LW/RW19101-14014160216.67%2663.4800000000000026.67%1503000.3000000000
28Gavin WhiteSenators (OTT)D2000500204110%03216.450000000001000%01100000000000
29Topi RonniSenators (OTT)C11000-4262017128350%113512.2800000000000044.68%470200000013000
Team Total or Average1116218354572-167118348512351198189961499411.48%5861841016.5090140230276165271017641413271249.10%3430325338250.621336282444302926
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
1Philip SvedebackSenators (OTT)48221750.8753.572607011551242708410.59122468010
2Ivan ProsvetovSenators (OTT)207420.8963.578910053512289120.66761338010
3Damian ClaraSenators (OTT)62300.8574.72267002114785110.6679315000
Team Total or Average74312470.8803.653766012291901108264376261020


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 McDonoughSenators (OTT)LW/RW251999-11-06USANo190 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm926,100$256,155$92,610$25,616$No---------------------------
Alex BumpSenators (OTT)LW212003-11-20USAYes194 Lbs5 ft10NoNoProspectNoNo22025-08-30FalseFalsePro & Farm700,000$193,617$70,000$19,362$No700,000$--------700,000$--------No--------
Andrei LoshkoSenators (OTT)RW202004-10-07BLRYes183 Lbs5 ft11NoNoProspectNoNo32025-08-20FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Anson ThorntonSenators (OTT)G212003-06-28CANNo181 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Anthony RichardSenators (OTT)C281996-12-20CANNo185 Lbs5 ft10NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Bradley MarekSenators (OTT)C/LW/RW242000-11-13USANo212 Lbs6 ft3NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$188,777$68,250$18,878$No---------------------------
Carter MazurSenators (OTT)LW/RW222002-03-28USANo170 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Dalibor DvorskySenators (OTT)C/LW/RW192005-06-15SVKNo201 Lbs6 ft1NoNoProspectNoNo22024-08-27FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$No1,500,000$--------1,500,000$--------No--------
Damian ClaraSenators (OTT)G192005-01-13ITANo214 Lbs6 ft6NoNoProspectNoNo22024-08-27FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$--------975,000$--------No--------
Dominik BadinkaSenators (OTT)D192005-11-27CZEYes205 Lbs6 ft1NoNoDraftNoNo32025-08-30FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Drew BavaroSenators (OTT)D242000-06-10USANo198 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm750,000$207,447$75,000$20,745$No---------------------------
Frederic BrunetSenators (OTT)C/D212003-08-21CANNo196 Lbs6 ft3NoNoProspectNoNo22024-08-27FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$--------825,000$--------No--------
Gavin WhiteSenators (OTT)D222002-11-12CANNo192 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm750,000$207,447$75,000$20,745$No---------------------------
Ivan ProsvetovSenators (OTT)G251999-03-05RUSNo176 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm826,875$228,710$82,688$22,871$No---------------------------
Jesse NurmiSenators (OTT)LW/RW192005-03-07FINNo172 Lbs6 ft0NoNoProspectNoNo22024-08-27FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$--------750,000$--------No--------
Joey WillisSenators (OTT)C/LW192005-05-14USAYes185 Lbs5 ft9NoNoProspectNoNo32025-08-30FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Konnor SmithSenators (OTT)D202004-11-06CANYes216 Lbs6 ft4NoNoProspectNoNo32025-08-20FalseFalsePro & Farm825,000$228,191$82,500$22,819$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Lucas CionaSenators (OTT)LW/RW212003-01-08CANNo223 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm700,000$193,617$70,000$19,362$No---------------------------
Lucas CondottaSenators (OTT)LW/RW271997-11-06CANNo218 Lbs6 ft1NoNoFree AgentNoNo22025-06-26FalseFalsePro & Farm650,000$179,787$65,000$17,979$No650,000$--------650,000$--------No--------
Marek VanackerSenators (OTT)LW182006-04-12CANYes170 Lbs5 ft11NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$414,894$150,000$41,489$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Michael CallahanSenators (OTT)D251999-09-23USANo199 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm810,338$224,136$81,034$22,414$No---------------------------
Nikolai KnyzhovSenators (OTT)D261998-03-20RUSNo222 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm882,000$243,957$88,200$24,396$No---------------------------
Nolan AllanSenators (OTT)D212003-04-28CANNo195 Lbs6 ft2NoNoN/ANoNo42025-09-08FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No1,250,000$1,250,000$1,250,000$------1,250,000$1,250,000$1,250,000$------NoNoNo------
Olle LycksellSenators (OTT)LW/RW251999-08-24SWENo163 Lbs5 ft10NoNoN/ANoNo12025-09-08FalseFalsePro & Farm826,875$228,710$82,688$22,871$No---------------------------
Philip Svedeback (Out of Payroll)Senators (OTT)G222002-05-28SWEYes209 Lbs6 ft2NoNoProspectNoNo22025-08-30FalseFalsePro & Farm750,000$207,447$75,000$20,745$No750,000$--------750,000$--------No--------
Rafael Harvey-PinardSenators (OTT)LW/RW251999-01-06CANNo181 Lbs5 ft9NoNoN/ANoNo2FalseFalsePro & Farm1,350,000$373,404$135,000$37,340$No1,350,000$--------1,350,000$--------No--------
Scott MorrowSenators (OTT)D222002-11-01USANo210 Lbs6 ft2NoNoProspectNoNo12024-08-27FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No---------------------------
Sean TschigerlSenators (OTT)LW/RW212003-04-11CANNo190 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm975,000$269,681$97,500$26,968$No---------------------------
Simon LundmarkSenators (OTT)D242000-10-08SWENo201 Lbs6 ft2NoNoN/ANoNo12025-09-08FalseFalsePro & Farm1,074,938$297,323$107,494$29,732$No---------------------------
Theo LindsteinSenators (OTT)C/D192005-01-05SWENo185 Lbs6 ft0NoNoProspectNoNo22024-08-27FalseFalsePro & Farm1,250,000$345,745$125,000$34,574$No1,250,000$--------1,250,000$--------No--------
Topi RonniSenators (OTT)C202004-05-05FINNo185 Lbs6 ft2NoNoProspectNoNo22024-08-27FalseFalsePro & Farm975,000$269,681$97,500$26,968$No975,000$--------975,000$--------No--------
Zack MacEwenSenators (OTT)LW/RW281996-07-08CANNo227 Lbs6 ft4NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$179,787$65,000$17,979$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3222.25195 Lbs6 ft11.72919,676$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Theo LindsteinOlle LycksellRafael Harvey-Pinard28122
2Lucas CondottaDalibor DvorskyAnthony Richard28122
3Carter MazurAidan McDonoughJoey Willis25122
4Aidan McDonoughAnthony RichardFrederic Brunet19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanMichael Callahan28122
2Scott MorrowFrederic Brunet28122
3Drew BavaroSimon Lundmark25122
4Nolan AllanMichael Callahan19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Anthony RichardOlle LycksellCarter Mazur50122
2Lucas CondottaDalibor DvorskyAidan McDonough50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanMichael Callahan50122
2Scott MorrowFrederic Brunet50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Carter MazurOlle Lycksell50122
2Dalibor DvorskyLucas Condotta50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanMichael Callahan50122
2Scott MorrowFrederic Brunet50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Lucas Condotta50122Nolan AllanMichael Callahan50122
2Carter Mazur50122Scott MorrowFrederic Brunet50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Olle LycksellAnthony Richard50122
2Carter MazurLucas Condotta50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nolan AllanMichael Callahan50122
2Scott MorrowFrederic Brunet50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Anthony RichardOlle LycksellFrederic BrunetNolan AllanMichael Callahan
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Anthony RichardOlle LycksellFrederic BrunetNolan AllanMichael Callahan
Extra Forwards
Normal PowerPlayPenalty Kill
Lucas Condotta, Carter Mazur, Frederic BrunetFrederic Brunet, Carter MazurFrederic Brunet
Extra Defensemen
Normal PowerPlayPenalty Kill
Michael Callahan, Nolan Allan, Scott MorrowNolan AllanMichael Callahan, Scott Morrow
Penalty Shots
Olle Lycksell, Dalibor Dvorsky, Carter Mazur, Frederic Brunet, Lucas Condotta
Goalie
#1 : , #2 : Damian Clara


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
1Admirals422000001216-41100000032131200000914-540.50012172900487691161175696386765214648886320630.00%19573.68%1621126948.94%612123149.72%45193048.49%123259112106351327658
2Americans431000002417711000000743321000001713460.7502435590048769116153569638676521233410165261246.15%18666.67%0621126948.94%612123149.72%45193048.49%123259112106351327658
3Bears422000001013-33210000010821010000005-540.50010182811487691161055696386765211343466414535.71%13469.23%0621126948.94%612123149.72%45193048.49%123259112106351327658
4Bills11000000532000000000001100000053221.0005611004876911643569638676522094234375.00%2150.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
5Blood Miners10000010321000000000001000001032121.000336004876911623569638676522884153266.67%20100.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
6Blossom Bytes30200001713-62010000159-41010000024-210.16771219104876911699569638676529126396414214.29%17476.47%2621126948.94%612123149.72%45193048.49%123259112106351327658
7Bulldogs1010000035-21010000035-20000000000000.0003691048769116335696386765236613206233.33%40100.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
8Crunch1010000026-4000000000001010000026-400.0002350048769116245696386765232912194125.00%6183.33%0621126948.94%612123149.72%45193048.49%123259112106351327658
9Eagles20200000510-50000000000020200000510-500.0005101510487691166856963867652914230373133.33%10550.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
10Gorillas2010001078-1100000104311010000035-220.5007101700487691168456963867652591639394125.00%7185.71%0621126948.94%612123149.72%45193048.49%123259112106351327658
11Griffins20101000550000000000002010100055020.500581300487691164156963867652592023557342.86%9277.78%0621126948.94%612123149.72%45193048.49%123259112106351327658
12Grisards3100100112933100100112930000000000050.833121931004876911698569638676529529626511436.36%12466.67%2621126948.94%612123149.72%45193048.49%123259112106351327658
13Gulls2200000010460000000000022000000104641.00010152500487691166456963867652461027414125.00%6183.33%0621126948.94%612123149.72%45193048.49%123259112106351327658
14Moose31200000712-5211000006601010000016-520.3337142100487691168656963867652812758819333.33%14471.43%0621126948.94%612123149.72%45193048.49%123259112106351327658
15Mountaineers1010000024-2000000000001010000024-200.000246004876911640569638676522451927100.00%20100.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
16Norsemen421000101815331100010131211100000053260.75018264400487691161295696386765215251668914428.57%13376.92%0621126948.94%612123149.72%45193048.49%123259112106351327658
17Octopus11000000514000000000001100000051421.000591400487691162756963867652311436204250.00%30100.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
18Penguins11000000642110000006420000000000021.0006101600487691163956963867652361030175480.00%50100.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
19Phantoms20000011880200000118800000000000030.7508132100487691166456963867652791665337228.57%10550.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
20Rams30300000518-1320200000314-111010000024-200.000581300487691167056963867652932569566350.00%12650.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
21Reign1010000024-21010000024-20000000000000.0002240048769116215696386765222522204250.00%6183.33%0621126948.94%612123149.72%45193048.49%123259112106351327658
22Rocket1010000068-21010000068-20000000000000.0006111700487691163156963867652251218187457.14%4250.00%1621126948.94%612123149.72%45193048.49%123259112106351327658
23Saints1010000026-4000000000001010000026-400.00023500487691162256963867652341115265120.00%5340.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
24Silver Knights11000000422110000004220000000000021.0004711004876911624569638676522684206116.67%20100.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
25Titans320000011266210000017521100000051450.83312183000487691167256963867652722247618337.50%11281.82%0621126948.94%612123149.72%45193048.49%123259112106351327658
26Whalers21000100990000000000002100010099030.75091322004876911656569638676525925323611545.45%11463.64%0621126948.94%612123149.72%45193048.49%123259112106351327658
27White Wolves1000000134-11000000134-10000000000010.500358004876911640569638676522734721800.00%110.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
28Wolf Pack3300000015961100000053222000000106461.00015264100487691161085696386765210528256215640.00%10280.00%0621126948.94%612123149.72%45193048.49%123259112106351327658
29Wolves411011001317-41000010023-1311010001114-350.625132336004876911611856963867652100241427818738.89%16662.50%1621126948.94%612123149.72%45193048.49%123259112106351327658
Total62242403245222238-163011901135109113-432131502110113125-12690.55622235457641487691161899569638676521905586118312352489036.29%2507370.80%7621126948.94%612123149.72%45193048.49%123259112106351327658
_Since Last GM Reset62242403245222238-163011901135109113-432131502110113125-12690.55622235457641487691161899569638676521905586118312352489036.29%2507370.80%7621126948.94%612123149.72%45193048.49%123259112106351327658
_Vs Conference45211402224168170-224106011248787021118011008183-2560.622168267435214876911613785696386765213914188978751826736.81%1875670.05%6621126948.94%612123149.72%45193048.49%123259112106351327658
_Vs Division199502222726111134201122524012653011002021-1300.78972118190114876911661056963867652583169333368652538.46%701874.29%2621126948.94%612123149.72%45193048.49%123259112106351327658

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
6269W2222354576189919055861183123541
All Games
GPWLOTWOTL SOWSOLGFGA
6224243245222238
Home Games
GPWLOTWOTL SOWSOLGFGA
301191135109113
Visitor Games
GPWLOTWOTL SOWSOLGFGA
3213152110113125
Last 10 Games
WLOTWOTL SOWSOL
460000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2489036.29%2507370.80%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
5696386765248769116
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
621126948.94%612123149.72%45193048.49%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
123259112106351327658


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
18Grisards5Senators4LXXBoxScore
536Blossom Bytes4Senators1LBoxScore
855Senators1Moose6LBoxScore
968Norsemen5Senators3LBoxScore
1288Senators4Whalers3WBoxScore
14100Phantoms5Senators4LXXBoxScore
17122Senators3Wolves1WBoxScore
18135Moose5Senators1LBoxScore
21155Senators5Whalers6LXBoxScore
22161Senators1Admirals6LBoxScore
24176Bears2Senators3WBoxScore
28197Grisards2Senators5WBoxScore
29204Senators11Americans5WBoxScore
32229Senators2Americans6LBoxScore
34237Penguins4Senators6WBoxScore
37264Bulldogs5Senators3LBoxScore
40281Senators3Gorillas5LBoxScore
42290Senators5Admirals3WBoxScore
44304Moose1Senators5WBoxScore
47328Gorillas3Senators4WXXBoxScore
49339Senators2Blossom Bytes4LBoxScore
51358Wolf Pack3Senators5WBoxScore
53377Senators6Wolves5WXBoxScore
55391Norsemen5Senators6WXXBoxScore
56402Senators2Mountaineers4LBoxScore
59422Titans1Senators4WBoxScore
61431Senators3Griffins2WXBoxScore
63452Senators5Octopus1WBoxScore
66464Phantoms3Senators4WXXBoxScore
68482Senators6Gulls2WBoxScore
70495Senators2Wolves8LBoxScore
71499White Wolves4Senators3LXXBoxScore
75526Silver Knights2Senators4WBoxScore
78550Senators2Griffins3LBoxScore
80559Titans4Senators3LXXBoxScore
82575Senators2Crunch6LBoxScore
84590Bears0Senators3WBoxScore
86604Senators5Titans1WBoxScore
88619Bears6Senators4LBoxScore
90628Senators6Wolf Pack3WBoxScore
92646Senators3Admirals5LBoxScore
93660Norsemen2Senators4WBoxScore
96679Senators4Eagles6LBoxScore
97691Wolves3Senators2LXBoxScore
100710Senators5Bills3WBoxScore
102720Admirals2Senators3WBoxScore
104734Senators0Bears5LBoxScore
106751Senators4Wolf Pack3WBoxScore
108762Americans4Senators7WBoxScore
110779Senators4Americans2WBoxScore
112793Blossom Bytes5Senators4LXXBoxScore
114809Senators2Rams4LBoxScore
115817Senators5Norsemen3WBoxScore
117827Rams2Senators0LBoxScore
121854Reign4Senators2LBoxScore
123872Senators1Eagles4LBoxScore
125887Rams12Senators3LBoxScore
126898Senators4Gulls2WBoxScore
128917Senators2Saints6LBoxScore
129925Rocket8Senators6LBoxScore
133951Grisards2Senators3WXBoxScore
136972Senators3Blood Miners2WXXBoxScore
138981Senators-Penguins-
139989Americans-Senators-
1411011Whalers-Senators-
1461042Gulls-Senators-
1491065Senators-Whalers-
1501075Wolves-Senators-
1541102Penguins-Senators-
1561115Senators-Grisards-
1571132Senators-Norsemen-
1591140Phantoms-Senators-
1621164Gulls-Senators-
1641175Senators-Grisards-
1671197Blossom Bytes-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711222Roadrunners-Senators-
1761252Whalers-Senators-
1771258Senators-Moose-
1801275Senators-Phantoms-
1821284Redhawks-Senators-
1831287Senators-Moose-
1861307Senators-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price3414
Attendance68,110153,319
Attendance PCT90.81%92.92%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
11 7381 - 92.26% 178,488$5,354,648$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,601,130$ 2,867,964$ 2,867,964$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
18,447$ 2,601,130$ 31 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
1,963,371$ 52 18,447$ 959,244$




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