Login


Game Center
Senators
14-12-3, 31pts
1
FINAL
2 Darkness
7-19-3, 17pts
Team Stats
W1StreakSOL1
8-7-0Home Record5-10-0
6-5-3Away Record2-9-3
6-3-1Last 10 Games2-7-1
2.97Goals Per Game2.14
3.41Goals Against Per Game3.31
19.23%Power Play Percentage15.79%
78.81%Penalty Kill Percentage88.35%
IceHawks
8-21-1, 17pts
2
FINAL
4 Senators
14-12-3, 31pts
Team Stats
L1StreakW1
4-9-1Home Record8-7-0
4-12-0Away Record6-5-3
3-7-0Last 10 Games6-3-1
1.93Goals Per Game2.97
3.27Goals Against Per Game3.41
11.48%Power Play Percentage19.23%
87.72%Penalty Kill Percentage78.81%
Senators
14-12-3, 31pts
Day 66
Oceanic
17-8-3, 37pts
Team Stats
W1StreakL2
8-7-0Home Record11-4-0
6-5-3Away Record6-4-3
6-3-1Last 10 Games4-6-0
2.97Goals Per Game4.14
3.41Goals Against Per Game3.46
19.23%Power Play Percentage19.27%
78.81%Penalty Kill Percentage80.56%
BigBadStars
17-9-3, 37pts
Day 68
Senators
14-12-3, 31pts
Team Stats
L1StreakW1
10-2-2Home Record8-7-0
7-7-1Away Record6-5-3
4-6-0Last 10 Games6-3-1
3.69Goals Per Game2.97
3.17Goals Against Per Game3.41
13.82%Power Play Percentage19.23%
79.03%Penalty Kill Percentage78.81%
Senators
14-12-3, 31pts
Day 70
SilverKnights
18-6-4, 40pts
Team Stats
W1StreakOTW1
8-7-0Home Record12-2-1
6-5-3Away Record6-4-3
6-3-1Last 10 Games5-3-2
2.97Goals Per Game3.68
3.41Goals Against Per Game3.21
19.23%Power Play Percentage23.40%
78.81%Penalty Kill Percentage82.08%
Team Leaders
Tanner LaczynskiGoals
Tanner Laczynski
13
Drew HellesonAssists
Drew Helleson
15
Gage GoncalvesPoints
Gage Goncalves
24
Matt KierstedPlus/Minus
Matt Kiersted
5
Colten EllisWins
Colten Ellis
12
Matthew MurraySave Percentage
Matthew Murray
0.898

Team Stats
Goals For
86
2.97 GFG
Shots For
728
25.10 Avg
Power Play Percentage
19.2%
25 GF
Offensive Zone Start
39.1%
Goals Against
99
3.41 GAA
Shots Against
882
30.41 Avg
Penalty Kill Percentage
78.8%
25 GA
Defensive Zone Start
40.6%
Team Info
General ManagerGuy Morin
CoachBrock Sheahan
DivisionAtlantic
ConferenceEastern
Captain
Assistant #1David Spacek
Assistant #2
Arena Info
Capacity3,000
Attendance0
Season Tickets300
Roster Info
Pro Team28
Farm Team19
Contract Limit47 / 50
Prospects25
Team History
This Season14-12-3 (31PTS)
History142-103-26 (0.524%)
Playoff Appearances2
Playoff Record (W-L)18-9
Stanley Cup1


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
1Gage GoncalvesX100.0068458580557684594056616590707375306302431,000,000$
2Vincent HinostrozaX100.006542858149776956405161666984814030620312950,000$
3Tanner LaczynskiX100.006247798166605062406460654078695530620282975,000$
4Tomas NosekX100.0073518775677183518751517040888030306203312,000,000$
5Nikita NesterenkoX100.009449887863725757404866624070717530620241750,000$
6Carl GrundstromX100.0099488177617181524049546365787555266102811,975,000$
7Cole GuttmanX100.005045808248796958706057509074776530610261825,000$
8Joona KoppanenX100.009957907579775149744057634076776030600272850,000$
9Jake LucchiniX100.005348797751796951704855678082814531600302900,000$
10Noah Philp (R)X100.006351877566705350745150654076736040590273575,000$
11Sam Morton (R)X100.006146858856796951704953514074776525590263575,000$
12Braeden Bowman (R)X100.0075528683707767474047475540667285305802231,500,000$
13Drew HellesonX100.0081587376747781564053597640707475216802411,250,000$
14Nikita NovikovX100.006250757572726739403741704066698530610222925,000$
15Joe HickettsX100.007639757541666144405236684080735030600291950,000$
16Noel HoefenmayerX100.007153787565555047405144674074656530600262900,000$
17Matt KierstedX100.005544787552686344405632704076726030600272850,000$
Scratches
1Brian HalonenX100.006055757664716151403766704074736518590261632,500$
2Zack OstapchukX100.008666747575708148844451634066688518590222925,000$
3Alexander NylanderX100.0050478676667363534047595040767560105702712,443,760$
4Francesco PinelliX100.005757777556796942403648624066738520550222925,000$
5Cole ClaytonX100.006560787564676235403832654072707019590253900,000$
6Declan CarlileX100.005349717563595439403543704072667020580252950,000$
7David Spacek (A)X100.005146817556767144405137504066718520570222925,000$
TEAM AVERAGE 100.00685081776272664950485163487473652660
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
1Colten Ellis100.00897176846868616766668772707028690251750,000$
2Carl Lindbom (R)100.00756468846162615860589966648531630222750,000$
Scratches
1Matthew Murray100.00757279867268677071729976726020710271900,000$
2Magnus Chrona100.00825760925050505050505072617020580251632,500$
TEAM AVERAGE100.0080667187636260616262847267712565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brock Sheahan76667659767588CAN414250,000$


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
1Gage GoncalvesSenators (Ott)RW29121224-3120375784164514.29%547616.42571217107000183131.82%2200001.0112000212
2Tanner LaczynskiSenators (Ott)LW29131023-460305372124918.06%444915.50471111960000221220.00%2500001.0211000214
3Drew HellesonSenators (Ott)D2451520-13300982737142513.51%3554322.633252053000076100.00%000000.7400000132
4Vincent HinostrozaSenators (Ott)C2961319-24021656114569.84%346115.92437241060000322041.54%39000000.8201000210
5Nikita NesterenkoSenators (Ott)C2971017-960555665166310.77%246315.98077171030001213038.64%54600000.7300000211
6Cole GuttmanSenators (Ott)C295914-30057248132610.42%448016.570112300001770060.00%46000000.5802000010
7Tomas NosekSenators (Ott)LW296713-380143133112218.18%239913.770003130001680147.83%2300000.6500000004
8Noah PhilpSenators (Ott)C134711-2206303212212.50%223618.2014510510003410060.45%31100000.9300000011
9Matt KierstedSenators (Ott)D2619105100382265516.67%3353220.50112118000080000.00%000000.3800000001
10Joe HickettsSenators (Ott)D292793580772573828.57%2852918.2700014000075110.00%000000.3400000100
11Joona KoppanenSenators (Ott)LW26358314042282941510.34%129511.3800016000010038.46%1300000.5400000110
12Braeden BowmanSenators (Ott)LW29358-12153224539265.66%547616.45336241070001141058.62%2900000.3400001010
13Sam MortonSenators (Ott)C27268-740622302136.67%336213.43011975011030053.49%4300000.4400000100
14Carl GrundstromSenators (Ott)RW29257-539570294418194.55%734211.8000002000000047.37%1900000.4101000011
15Nikita NovikovSenators (Ott)D29257-41004328136715.38%4370824.42112417000089000.00%000000.2001000100
16Jake LucchiniSenators (Ott)C13066-220314166120.00%026820.680338530001410059.38%3200000.4501000000
17Cole ClaytonSenators (Ott)D15235-480241591422.22%1933422.29022347000041000.00%000000.3000000021
18Noel HoefenmayerSenators (Ott)D29235-102208021236148.70%3163822.002131186000043000.00%000000.1600000111
19Oskar SundqvistSenatorsRW8213040811163412.50%115619.570003200002290070.00%1000000.3800000020
20Brian HalonenSenators (Ott)LW8123000410172195.88%09712.19000516000000042.86%700000.6200000001
21Zack OstapchukSenators (Ott)RW8011-51401557140.00%410513.2500001000060056.00%2500000.1900000000
22Alexander NylanderSenators (Ott)RW2000-100011000.00%02412.470000000000000.00%000000.0000000000
Team Total or Average48980141221-672741070864670316345811.38%232838517.1524436717410200111177412548.95%195500000.5329001141719
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
1Colten EllisSenators (Ott)2112710.8863.301183150655690100.8899218110
2Matthew MurraySenators (Ott)82420.8983.3348700272650101.000384120
3Carl LindbomSenators (Ott)1511120.8663.4987720513820000.75041413000
4Magnus ChronaSenators (Ott)10100.8575.4655005350000.000004000
Team Total or Average45152350.8823.41260317014812510200.875164329230


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 Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type 2039 Salary Cap Salary Cap Remaining Exclude from Salary Cap 2040 204120422043204420452046Salary Year 9Salary Year 10Link
Alexander NylanderSenators (Ott)RW271998-03-02No205 Lbs6 ft1NoNoYes1Pro & Farm2,443,760$0$0$No
UFA
Link / NHL Link
Braeden BowmanSenators (Ott)LW222003-06-26Yes210 Lbs6 ft2NoNoNo3Pro & Farm1,500,000$0$0$No1,500,000$1,500,000$
RFA
Link / NHL Link
Brian HalonenSenators (Ott)LW261999-01-11No205 Lbs6 ft0NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Carl GrundstromSenators (Ott)RW281997-12-01No200 Lbs6 ft0NoNoNo1Pro & Farm1,975,000$0$0$No
UFA
Link / NHL Link
Carl LindbomSenators (Ott)G222003-05-20Yes185 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
RFA
Link / NHL Link
Cole ClaytonSenators (Ott)D252000-02-29No198 Lbs6 ft2NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
UFA
Link / NHL Link
Cole GuttmanSenators (Ott)C261999-04-06No181 Lbs5 ft10NoNoNo1Pro & Farm825,000$0$0$No
RFA
Link / NHL Link
Colten EllisSenators (Ott)G252000-10-05No185 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
David SpacekSenators (Ott)D222003-02-18No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Declan CarlileSenators (Ott)D252000-05-18No192 Lbs6 ft3NoNoNo2Pro & Farm950,000$0$0$No950,000$
RFA
Link / NHL Link
Drew HellesonSenators (Ott)D242001-03-26No213 Lbs6 ft3NoNoNo1Pro & Farm1,250,000$0$0$No
RFA
Link / NHL Link
Francesco PinelliSenators (Ott)LW222003-04-11No190 Lbs6 ft0NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Gage GoncalvesSenators (Ott)RW242001-01-16No184 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$
RFA
Link / NHL Link
Jake LucchiniSenators (Ott)C301995-05-09No179 Lbs6 ft0NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Link / NHL Link
Joe HickettsSenators (Ott)D291996-05-04No176 Lbs5 ft8NoNoNo1Pro & Farm950,000$0$0$No
UFA
Link / NHL Link
Joona KoppanenSenators (Ott)LW271998-02-25No215 Lbs6 ft5NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Link / NHL Link
Magnus ChronaSenators (Ott)G252000-08-28No194 Lbs6 ft4NoNoNo1Pro & Farm632,500$0$0$No
RFA
Link / NHL Link
Matt KierstedSenators (Ott)D271998-04-14No181 Lbs6 ft0NoNoNo2Pro & Farm850,000$0$0$No850,000$
UFA
Link / NHL Link
Matthew MurraySenators (Ott)G271998-02-02No195 Lbs6 ft1NoNoNo1Pro & Farm900,000$0$0$No
UFA
Link / NHL Link
Nikita NesterenkoSenators (Ott)C242001-09-10No195 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
RFA
Link / NHL Link
Nikita NovikovSenators (Ott)D222003-07-25No205 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Noah PhilpSenators (Ott)C271998-08-31Yes198 Lbs6 ft3NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Noel HoefenmayerSenators (Ott)D261999-01-06No204 Lbs6 ft1NoNoNo2Pro & Farm900,000$0$0$No900,000$
UFA
Link / NHL Link
Sam MortonSenators (Ott)C261999-07-28Yes190 Lbs6 ft0NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
UFA
Link / NHL Link
Tanner LaczynskiSenators (Ott)LW281997-06-01No205 Lbs6 ft1NoNoNo2Pro & Farm975,000$0$0$No975,000$
UFA
Link / NHL Link
Tomas NosekSenators (Ott)LW331992-09-01No199 Lbs6 ft3NoNoNo1Pro & Farm2,000,000$0$0$No
UFA
Link / NHL Link
Vincent HinostrozaSenators (Ott)C311994-04-03No183 Lbs5 ft10NoNoNo2Pro & Farm950,000$0$0$No950,000$
UFA
Link / NHL Link
Zack OstapchukSenators (Ott)RW222003-05-29No212 Lbs6 ft4NoNoNo2Pro & Farm925,000$0$0$No925,000$
RFA
Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2825.79195 Lbs6 ft11.791,017,277$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Braeden BowmanNoah PhilpGage Goncalves25104
2Tanner LaczynskiVincent HinostrozaJake Lucchini25104
3Sam MortonNikita NesterenkoCarl Grundstrom25113
4Joona KoppanenCole GuttmanTomas Nosek25113
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew HellesonNikita Novikov30113
2Matt KierstedNoel Hoefenmayer30113
3Joe HickettsNikita Novikov25122
4Drew HellesonNoel Hoefenmayer15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vincent HinostrozaNikita NesterenkoJake Lucchini50104
2Tanner LaczynskiNoah PhilpGage Goncalves50104
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew HellesonBraeden Bowman50014
2Noel HoefenmayerSam Morton50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Noah PhilpJake Lucchini50131
2Cole GuttmanTomas Nosek50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew HellesonNikita Novikov50131
2Matt KierstedJoe Hicketts50131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jake Lucchini50140Drew HellesonNoel Hoefenmayer50140
2Tomas Nosek50140Nikita NovikovJoe Hicketts50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Noah PhilpGage Goncalves50113
2Nikita NesterenkoJake Lucchini50113
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Drew HellesonNikita Novikov50113
2Joe HickettsMatt Kiersted50113
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Tanner LaczynskiNoah PhilpBraeden BowmanNoel HoefenmayerJoe Hicketts
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Gage GoncalvesCole GuttmanCarl GrundstromMatt KierstedNikita Novikov
Extra Forwards
Normal PowerPlayPenalty Kill
Cole Guttman, Braeden Bowman, Tanner LaczynskiTanner Laczynski, Vincent HinostrozaJake Lucchini
Extra Defensemen
Normal PowerPlayPenalty Kill
Noel Hoefenmayer, Joe Hicketts, Nikita NovikovMatt KierstedJoe Hicketts, Nikita Novikov
Penalty Shots
Gage Goncalves, Cole Guttman, Vincent Hinostroza, Carl Grundstrom, Jake Lucchini
Goalie
#1 : Colten Ellis, #2 : Carl Lindbom


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
1BaronsOKC1000000156-1000000000001000000156-110.5005914003529202392452302471630512268337.50%5180.00%046988752.87%47492351.35%22046147.72%737521667201353183
2BigBadStars3120000056-12020000025-31100000031220.333571200352920270245230247169918249412325.00%11372.73%046988752.87%47492351.35%22046147.72%737521667201353183
3Darkness3120000067-11010000034-12110000033020.3336101600352920253245230247166210245210110.00%10280.00%046988752.87%47492351.35%22046147.72%737521667201353183
4Griffins2010010057-2000000000002010010057-210.2505101500352920248245230247165918194612325.00%7271.43%046988752.87%47492351.35%22046147.72%737521667201353183
5IceHawks11000000422110000004220000000000021.000471100352920222245230247161924317114.29%20100.00%046988752.87%47492351.35%22046147.72%737521667201353183
6IceHogs11000000761000000000001100000076121.000714210035292023024523024716511223216116.67%6266.67%046988752.87%47492351.35%22046147.72%737521667201353183
7Iceberg11000000541110000005410000000000021.00051015003529202462452302471636101024300.00%5180.00%046988752.87%47492351.35%22046147.72%737521667201353183
8National40300010918-930200010814-61010000014-320.2509132200352920287245230247161104153862129.52%20765.00%046988752.87%47492351.35%22046147.72%737521667201353183
9Oceanic31100010911-2210000109721010000004-440.66791423003529202892452302471610821226712325.00%11463.64%046988752.87%47492351.35%22046147.72%737521667201353183
10Pantheres22000000954000000000002200000095441.000914230035292025224523024716552012518225.00%5180.00%046988752.87%47492351.35%22046147.72%737521667201353183
11Remparts11000000431000000000001100000043121.000471100352920222245230247162686197228.57%20100.00%046988752.87%47492351.35%22046147.72%737521667201353183
12Spiders421001001013-3220000007522010010038-550.6251015250035292029524523024716137373410413323.08%15286.67%046988752.87%47492351.35%22046147.72%737521667201353183
13Thunder21100000770211000007700000000000020.50071219003529202492452302471662193041300.00%140100.00%046988752.87%47492351.35%22046147.72%737521667201353183
14Wolves1010000014-31010000014-30000000000000.000112003529202262452302471628710208112.50%50100.00%046988752.87%47492351.35%22046147.72%737521667201353183
Total291212002218699-131567000204652-61465002014047-7310.53486143229003529202728245230247168822282836821302519.23%1182578.81%046988752.87%47492351.35%22046147.72%737521667201353183
_Since Last GM Reset291212002218699-131567000204652-61465002014047-7310.53486143229003529202728245230247168822282836821302519.23%1182578.81%046988752.87%47492351.35%22046147.72%737521667201353183
_Vs Conference261012002207286-141457000204148-71255002003138-7260.50072117189003529202621245230247167902052556131122017.86%1062378.30%046988752.87%47492351.35%22046147.72%737521667201353183
_Vs Division9710002202435-11635000202023-334500200412-8201.11124386200352920222824523024716283889721437513.51%401075.00%046988752.87%47492351.35%22046147.72%737521667201353183

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty Minutes HitsEmpty Net GoalsShutouts
2931W18614322972888222828368200
All Games
GPWLOTWOTL SOWSOLGFGA
29121202218699
Home Games
GPWLOTWOTL SOWSOLGFGA
156700204652
Visitor Games
GPWLOTWOTL SOWSOLGFGA
146502014047
Last 10 Games
WLOTWOTL SOWSOL
630001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1302519.23%1182578.81%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
245230247163529202
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
46988752.87%47492351.35%22046147.72%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
737521667201353183


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
212Senators1Spiders5ALBoxScore
425BigBadStars3Senators2BLBoxScore
527Senators3Griffins4ALXBoxScore
849National5Senators3BLBoxScore
1169Senators2Darkness1AWBoxScore
1380Oceanic4Senators5BWXXBoxScore
16103BigBadStars2Senators0BLBoxScore
17111Senators2Spiders3ALXBoxScore
20133Senators0Oceanic4ALBoxScore
21138Senators5Pantheres3AWBoxScore
23154Darkness4Senators3BLBoxScore
27176Spiders3Senators4BWBoxScore
30196National5Senators0BLBoxScore
32211Senators1National4ALBoxScore
34228Thunder1Senators5BWBoxScore
35237Senators2Griffins3ALBoxScore
37253Senators4Pantheres2AWBoxScore
39268National4Senators5BWXXBoxScore
42288Senators4Remparts3AWBoxScore
43298Iceberg4Senators5BWBoxScore
47323Spiders2Senators3BWBoxScore
50346Thunder6Senators2BLBoxScore
52360Senators3BigBadStars1AWBoxScore
55379Oceanic3Senators4BWBoxScore
56393Senators7IceHogs6AWBoxScore
58404Senators5BaronsOKC6ALXXBoxScore
60417Wolves4Senators1BLBoxScore
62437Senators1Darkness2ALBoxScore
63446IceHawks2Senators4BWBoxScore
66466Senators-Oceanic-
68479BigBadStars-Senators-
70498Senators-SilverKnights-
71507Senators-Sagueneens-
73516Darkness-Senators-
76540Pantheres-Senators-
78557Senators-Wolves-
80572Griffins-Senators-
82587Senators-Draveurs-
84598Senators-Oceanic-
85608Nordiques-Senators-
88632Senators-Bandits-
89641Thunder-Senators-
92661Senators-Pantheres-
93672Spiders-Senators-
97693Senators-Mighty Ducks-
98704BigBadStars-Senators-
101722Senators-Checkers-
103733National-Senators-
105747Senators-Griffins-
107763Magics-Senators-
110787Roadrunners-Senators-
111798Senators-IceHawks-
114813Senators-Nordiques-
116828Sagueneens-Senators-
119849Wolves-Senators-
123872Senators-Griffins-
124884WolfPack-Senators-
127904Senators-BaronsOKC-
128914Griffins-Senators-
131937EvilSharks-Senators-
133955Senators-Magics-
134966Eagles-Senators-
136979Senators-Darkness-
1391001Griffins-Senators-
1421026IceHogs-Senators-
1441035Senators-Vikings-
1461057Oceanic-Senators-
1471063Senators-Thunder-
1501081Senators-National-
1521094Darkness-Senators-
1541110Senators-National-
1561122IceBears-Senators-
1571130Senators-BigBadStars-
1601154HC-Senators-
1621167Senators-BigBadStars-
1651186Pantheres-Senators-
1661198Senators-Spiders-
1691214Pantheres-Senators-
Trade Deadline --- Trades can’t be done after this day is simulated!
1711222Senators-EvilSharks-
1751246Iceberg-Senators-
1761252Senators-Spiders-
1781263Senators-Cyclones-



Senators 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
1Ben Ondrus1586292484776-46200723382289280010.43%9332675316.8768106174382781574321451.13%70.58725
2Jaroslav Bednar3091091352441710039955487112.51%98648420.981840581296283417459.86%30.75847
3Riley Stillman3554114919058533106732036511.23%366728720.532236582050334530.00%00.5200
4Riley Barber2577511418940449243661612.18%22430416.75173451118112813345.76%00.88513
5Teddy Blueger249841051892416433371361013.77%76461318.532334571081341718560.61%20.82523

Senators Goalies Stat Leaders (Regular Season)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Brent Krahn271123109380.8962.5816199215697673421341550.743148
2Joonas Korpisalo17110751130.9012.1910307102237638040520.80968
3Magnus Hellberg16110443140.9022.409732101638939850700.78789
4Mattias Modig22984120180.8793.151310122136875692120830.74775
5Thomas McCollum1736981170.8902.691009521945240940720.76869

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
Regular Season
203680343506122230265-3540191404111124126-240152102011106139-3387230414644140917160181605996105802075587102220393136119.49%4197781.62%21131218551.76%1183226152.32%663123453.73%200714171853554974496
2037824622042442831978641286012311427567411816030131411221911428350278511092948912229571175581142194954182619403467421.39%3725186.29%41369261552.35%1258234253.71%656125552.27%2164154218065601006525
203878253403646194221-273912170231493104-1139131701332101117-16761943475411573654913161654152852356180848159815583596016.71%2595479.15%11251211559.15%1180202958.16%680111361.10%210215061674536976518
2039291212002218699-131567000204652-61465002014047-73186143229003529202728245230247168822282836821302519.23%1182578.81%046988752.87%47492351.35%22046147.72%737521667201353183
Total Regular Season2691171030131112137937821113565440767640535748134525906557388425-37308793140621993192002792298764551497211221916946714183727296219114822019.16%116820782.28%74220780254.09%4095755554.20%2219406354.61%701249876001185233111723
Playoff
2036624000001921-232100000128430300000713-6419355400031151380444153113286213820210.00%31970.97%28817051.76%5815138.41%489848.98%13292156437133
20372116500000775027109100000351817117400000423210327713421111252624253117315517330389129236453832125.30%1031486.41%132564250.62%29057150.79%17733053.64%527363494156274138
Total Playoff27189000009671251311200000472621147700000494543696169265112529357669173199214835021572985911032322.33%1342382.84%341381250.86%34872248.20%22542852.57%659456651200346172

Senators 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
1Ryan Donato52211940884111412816.41%480615.502682611245152.04%10.9900
2Tyler Motte39191938114211814114313.29%1677319.823471610113143.70%10.9800
3Nate Thompson32112435536431198712.64%766820.8947111600011067.76%01.0500
4Riley Barber5215193496218512911.63%386516.6455103100024333.33%00.7900
5Nolan Patrick32161733610148611214.29%771922.475492800041170.86%00.9200

Senators Goalies Stat Leaders (Play-Off)
# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Magnus Hellberg39241410.9012.7124182110911020210.0000
2Scott Wedgewood1815300.8822.08109401383220110.0000
3Joonas Korpisalo147610.8892.7286020393520000.0000
4Dylan Wells62400.8003.9132200211050000.0000
5Pyotr Kochetkov41200.8333.282012011660000.0000