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Senators
GP: 80 | W: 31 | L: 43 | OTL: 6 | P: 68
GF: 329 | GA: 398 | PP%: 21.43% | PK%: 72.75%
GM : Didier Theodore | Morale : 20 | Team Overall : 64
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Game Center
Condors
40-33-7, 87pts
2
FINAL
4 Senators
31-43-6, 68pts
Team Stats
W2StreakL1
18-19-3Home Record21-17-2
22-14-4Home Record10-26-4
5-3-2Last 10 Games4-6-0
4.24Goals Per Game4.11
4.15Goals Against Per Game4.98
21.14%Power Play Percentage21.43%
78.13%Penalty Kill Percentage72.75%
Condors
40-33-7, 87pts
8
FINAL
3 Senators
31-43-6, 68pts
Team Stats
W2StreakL1
18-19-3Home Record21-17-2
22-14-4Home Record10-26-4
5-3-2Last 10 Games4-6-0
4.24Goals Per Game4.11
4.15Goals Against Per Game4.98
21.14%Power Play Percentage21.43%
78.13%Penalty Kill Percentage72.75%
Team Leaders
Goals
Zachary Sanford
68
Assists
Christoph Bertschy
87
Points
Zachary Sanford
133
Plus/Minus
Grant Besse
5
Wins
David Rittich
24
Save Percentage
David Rittich
0.852

Team Stats
Goals For
329
4.11 GFG
Shots For
2705
33.81 Avg
Power Play Percentage
21.4%
66 GF
Offensive Zone Start
36.2%
Goals Against
398
4.98 GAA
Shots Against
2586
32.33 Avg
Penalty Kill Percentage
72.8%%
91 GA
Defensive Zone Start
35.3%
Team Info

General ManagerDidier Theodore
CoachMario Lemieux
DivisionJohn-Ahearne
ConferenceRobert-Lebel
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,762
Season Tickets300


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 250
Prospects0


Filter Tips
PriorityTypeDescription
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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Zachary Sanford (R)X100.007622738270847582707476707764584341740242950,000$
2Christoph Bertschy (R)X100.006927827878827275717472707762504240720241750,000$
3C.J Suess (R)X100.007631777578676372667277677049524536700242850,000$
4Kevin RooneyX100.006645767469737469776973647454533540690252600,000$
5Marc Michaelis (R)X100.007539747065756168687472706451495130680232750,000$
6Mason Appleton (R)X100.005436817267667170797872555746465124670221650,000$
7Carl Grundstrom (R)X100.007052866768736767686668637045476530670212900,000$
8Grant Besse (R)X100.006132757265746571716568647349513026660242750,000$
9Tomas HykaX100.006034756761626164798264555847482622640251500,000$
10Arttu Ruotsalainen (R)X100.005137706560706968535683536645454924630212600,000$
11Akil Thomas (R)X100.007043575467486356455857445340406619540182500,000$
12Bryce Kindopp (R)X100.005833615463525855555061535641416719540191500,000$
13Jordan SchmaltzX100.007338827875787371517468817173543926740252975,000$
14Keegan LoweX100.007027797680877070567369776068533840730252800,000$
15Joonas Lyytinen (R)X100.007129807167606667437252805753504320690232600,000$
16Nikita NesterovX100.006925807568716967507168676753513826680251600,000$
17Mason Geertsen (R)X100.007145786265577867506054676050483940640232500,000$
18Martin Fehervary (R)X100.005840697256516279388452574443436820620192500,000$
Scratches
1Jacob De La Rose (R)X85.557023867179857364707474817461484931720231850,000$
2Anton Karlsson (R)X100.006526697761645475606762687145464528650223600,000$
3Vitaly Abramov (R)X100.005335777470656371576576486944445918640202500,000$
4David Kase (R)X100.006533656260616661636167516544444420600211500,000$
5Cliff Pu (R)X100.005625705362625264566069366542424717570202500,000$
6Ivan Morozov (R)X100.005237595659495757525258454640406518530182500,000$
7Jonas Siegenthaler (R)X100.006126866264567057336750784845454733640211500,000$
8Gustav Forsling (R)X100.007033756155686061426267585545454919610222500,000$
9Alec Regula (R)X100.005841625452585964445051654340406818560182500,000$
TEAM AVERAGE99.46653474686667666758676662635047482765
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
1David Rittich99.00676584615980835754837653535841680263950,000$
2Arvid Soderblom100.00536476505163695355745841417138590191500,000$
Scratches
1Olivier Rodrigue (R)100.00426852545055575869544540406920550184500,000$
2Olle Eriksson Ek100.00564961556159515752545841415720550191500,000$
TEAM AVERAGE99.7555626855556465565866594444643059
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mario Lemieux58697272515555CAN5421,000,000$


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
1Zachary SanfordSenators (Ott)LW796865133-2412001609539215323617.35%55180222.811424385625400032245449.09%1659044141.4845000695
2Christoph BertschySenators (Ott)C804487131-2126014118633112021813.29%49184423.061522375225500032673151.17%28324640031.4214000783
3C.J SuessSenators (Ott)LW80333568-1595131802118114415.64%22118714.845381511200041192144.44%544915011.1500000240
4Jacob De La RoseSenators (Ott)C79264268-51201191492135811412.21%29139117.62310132420100041503151.19%9674023000.9812000321
5Jordan SchmaltzSenators (Ott)D7175259-3841512115814246684.93%129199628.1221416252490003248200%03772000.5900001211
6Kevin RooneySenators (Ott)C80193352-93008193180449010.56%1898512.321011190001651054.49%4572616001.0500000332
7Mason AppletonSenators (Ott)RW74203050-43205963134508414.93%20118616.03371023150000021149.80%2552421100.8400000135
8Marc MichaelisSenators (Ott)LW75193049-1132010675172448811.05%2297713.031567770003562344.12%343119001.0001000133
9Keegan LoweSenators (Ott)D8073441-3858013016012662615.56%129215726.973912232750002257000%03477000.3800000021
10Grant BesseSenators (Ott)RW7315223753605668118346812.71%1493612.822351086000002155.17%292210000.7900000202
11Nikita NesterovSenators (Ott)D80102333-15157111085364011.76%87161820.235510111880001192010%02449000.4100000110
12Carl GrundstromSenators (Ott)RW80102131-35300957611539598.70%29134716.852469216000000150.00%801519000.4600000002
13Joonas LyytinenSenators (Ott)D6932427-11380811057232334.17%71143520.81235111730111174100%01050000.3800000000
14Anton KarlssonSenators (Ott)LW7116925-172806046125527112.80%126789.55101131013884041.67%123614010.7400000021
15Jonas SiegenthalerSenators (Ott)D7211112514021906318281.59%62101714.13101441000275000%0231000.2400000001
16Tomas HykaSenators (Ott)RW507512-2080262156103012.50%104018.0310110000000040.00%10103000.6000000000
17David KaseSenators (Ott)RW4152752203216155833.33%43819.3000003000000033.33%617000.3700000000
18Martin FehervarySenators (Ott)D28077-540918185110%1431611.310000300009000%044000.4400000000
19Vitaly AbramovSenators (Ott)LW22257-600722710167.41%31667.550000000002000%461000.8400000000
20Arttu RuotsalainenSenators (Ott)C42336-13802017339229.09%53187.5800000000020150.00%9462000.3800000000
21Mason GeertsenSenators (Ott)D80134-522054583921132.56%5596512.0600007000029000%0238000.0800000001
22Gustav ForslingSenators (Ott)D21011000321000%2643.050000000008000%000000.3100000000
23Alec RegulaSenators (Ott)D8011320121310%4567.080000000000000%001000.3500000000
24Bryce KindoppSenators (Ott)RW240110140888120%31636.8000000000000050.00%201000.1200000000
25Akil ThomasSenators (Ott)C3000-100100000%0103.3300000000030020.00%50000000000000
26Ivan MorozovSenators (Ott)C2000000000000%000.330000000000000%00000000000000
27Cliff PuSenators (Ott)RW4000000000000%000.240000000000000%00000000000000
Team Total or Average1468316546862-24768715159316982677933150511.80%8482340715.94611091702732325112301981261551.06%5006515557290.74612001283828
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
1David RittichSenators (Ott)66242830.8524.823326202671801864240.900106020101
2Arvid SoderblomSenators (Ott)3571530.8414.98149400124779397420.50022060001
Team Total or Average101314360.8484.874821203912580126166128080102


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 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 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
Akil ThomasSenators (Ott)C182000-01-01Yes195 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Alec RegulaSenators (Ott)D182000-01-01Yes208 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Anton KarlssonSenators (Ott)LW221996-01-01Yes194 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm600,000$2,985$0$0$No800,000$800,000$-------NoNo-------
Arttu RuotsalainenSenators (Ott)C211997-01-01Yes181 Lbs5 ft8NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Arvid SoderblomSenators (Ott)G191999-01-01No180 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Bryce KindoppSenators (Ott)RW191999-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
C.J SuessSenators (Ott)LW241994-01-01Yes190 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm850,000$4,229$0$0$No850,000$--------No--------
Carl GrundstromSenators (Ott)RW211997-01-01Yes194 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Christoph BertschySenators (Ott)C241994-01-01Yes182 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,731$0$0$No------------------
Cliff PuSenators (Ott)RW201998-01-01Yes185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
David KaseSenators (Ott)RW211997-01-01Yes169 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
David RittichSenators (Ott)G261992-01-01No206 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm950,000$4,726$0$0$No1,500,000$2,500,000$-------NoNo-------
Grant BesseSenators (Ott)RW241994-01-01Yes185 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Gustav ForslingSenators (Ott)D221996-01-01Yes186 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Ivan MorozovSenators (Ott)C182000-01-01Yes178 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Jacob De La Rose (Out of Payroll)Senators (Ott)C231995-01-01Yes185 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm850,000$4,229$0$0$Yes------------------
Jonas SiegenthalerSenators (Ott)D211997-01-01Yes210 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Joonas LyytinenSenators (Ott)D231995-01-01Yes189 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Jordan SchmaltzSenators (Ott)D251993-01-01No180 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm975,000$4,851$0$0$No975,000$--------No--------
Keegan LoweSenators (Ott)D251993-01-01No200 Lbs6 ft1NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No800,000$--------No--------
Kevin RooneySenators (Ott)C251993-01-01No190 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm600,000$2,985$0$0$No600,000$--------No--------
Marc MichaelisSenators (Ott)LW231995-01-01Yes187 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Martin FehervarySenators (Ott)D191999-01-01Yes199 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Mason AppletonSenators (Ott)RW221996-01-01Yes193 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Mason GeertsenSenators (Ott)D231995-01-01Yes185 Lbs6 ft4NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Nikita NesterovSenators (Ott)D251993-01-01No191 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm600,000$2,985$0$0$No------------------
Olivier RodrigueSenators (Ott)G182000-01-01Yes158 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm500,000$2,488$0$0$No500,000$500,000$500,000$------NoNoNo------Link
Olle Eriksson EkSenators (Ott)G191999-01-01No189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Tomas HykaSenators (Ott)RW251993-01-01No160 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Vitaly AbramovSenators (Ott)LW201998-01-01Yes181 Lbs5 ft10NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------
Zachary SanfordSenators (Ott)LW241994-01-01Yes185 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm950,000$4,726$0$0$No1,250,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3121.84187 Lbs6 ft11.81634,677$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordChristoph BertschyMason Appleton40014
2C.J SuessKevin RooneyCarl Grundstrom30023
3Marc MichaelisArttu RuotsalainenGrant Besse20122
4Zachary SanfordAkil ThomasTomas Hyka10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe40032
2Joonas LyytinenNikita Nesterov30032
3Mason GeertsenMartin Fehervary20122
4Jordan SchmaltzKeegan Lowe10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordChristoph BertschyMason Appleton60005
2C.J SuessKevin RooneyCarl Grundstrom40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60005
2Joonas LyytinenNikita Nesterov40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Christoph BertschyZachary Sanford60140
2Kevin RooneyC.J Suess40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60140
2Joonas LyytinenNikita Nesterov40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Christoph Bertschy60140Jordan SchmaltzKeegan Lowe60140
2Kevin Rooney40140Joonas LyytinenNikita Nesterov40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Christoph BertschyZachary Sanford60122
2Kevin RooneyC.J Suess40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordChristoph BertschyMason AppletonJordan SchmaltzKeegan Lowe
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordChristoph BertschyMason AppletonJordan SchmaltzKeegan Lowe
Extra Forwards
Normal PowerPlayPenalty Kill
Marc Michaelis, Mason Appleton, Carl GrundstromMarc Michaelis, Mason AppletonMarc Michaelis
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikita Nesterov, Mason Geertsen, Martin FehervaryNikita NesterovNikita Nesterov, Mason Geertsen
Penalty Shots
Zachary Sanford, Christoph Bertschy, C.J Suess, Kevin Rooney, Marc Michaelis
Goalie
#1 : David Rittich, #2 : Arvid Soderblom
Custom OT Lines Forwards
Zachary Sanford, Christoph Bertschy, C.J Suess, Kevin Rooney, Marc Michaelis, Mason Appleton, Mason Appleton, Carl Grundstrom, Grant Besse, Tomas Hyka, Arttu Ruotsalainen
Custom OT Lines Defensemen
Jordan Schmaltz, Keegan Lowe, Joonas Lyytinen, Nikita Nesterov, Mason Geertsen


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
1Admirals624000002431-73210000013121303000001119-840.3332441651092118113920392496980321177656612035822.86%331360.61%1915178051.40%877174050.40%727140351.82%1748100616597401422709
2Americans62300010292813120000015141311000101414060.5002943721092118113919892496980321192887612823626.09%38976.32%0915178051.40%877174050.40%727140351.82%1748100616597401422709
3Barracuda312000001317-421100000911-21010000046-220.333132134009211811391129249698032110022186910330.00%9366.67%0915178051.40%877174050.40%727140351.82%1748100616597401422709
4Bears20100001613-71010000039-61000000134-110.25069150092118113970924969803217519846400.00%4175.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
5Canucks211000001114-3110000007611010000048-420.5001118290092118113965924969803217826204210330.00%10550.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
6Checkers211000001011-1110000004221010000069-320.500101626009211811396292496980321562116418225.00%80100.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
7Comets20200000914-51010000035-21010000069-300.00091423009211811396492496980321662622362150.00%11281.82%0915178051.40%877174050.40%727140351.82%1748100616597401422709
8Condors321000001312121100000710-31100000062440.66713213400921181139103924969803219530206411218.18%10190.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
9Crunch20100100710-31010000035-21000010045-110.25071017009211811396292496980321621815495120.00%5260.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
10Eagles2110000078-1110000004221010000036-320.50071118009211811397092496980321611314546233.33%70100.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
11Griffins321000001415-11100000054121100000911-240.667142539009211811399592496980321982626421218.33%13376.92%0915178051.40%877174050.40%727140351.82%1748100616597401422709
12Icehogs72202100312924100210020182312000001111090.6433151820092118113925692496980321214666914342614.29%28871.43%0915178051.40%877174050.40%727140351.82%1748100616597401422709
13Islander2110000016142110000009541010000079-220.5001624400092118113975924969803217027264010440.00%13653.85%0915178051.40%877174050.40%727140351.82%1748100616597401422709
14Little Stars312000001015-5211000008801010000027-520.33310182800921181139729249698032191364558600.00%16568.75%0915178051.40%877174050.40%727140351.82%1748100616597401422709
15Marlies30200010715-81010000016-52010001069-320.333712190092118113910892496980321882618689111.11%9277.78%0915178051.40%877174050.40%727140351.82%1748100616597401422709
16Moose30300000815-71010000035-220200000510-500.000814220092118113910292496980321893528638337.50%14471.43%0915178051.40%877174050.40%727140351.82%1748100616597401422709
17Penguins312000001416-2211000008801010000068-220.333142539009211811391069249698032110731205312541.67%10550.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
18Phantoms724001002636-10312000001417-3412001001219-750.3572644701092118113925192496980321231615014322522.73%25868.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
19Punishers22000000853110000005411100000031241.0008152300921181139589249698032164182050200.00%9188.89%0915178051.40%877174050.40%727140351.82%1748100616597401422709
20Reign312000001014-421100000810-21010000024-220.3331016261092118113992924969803219522204514214.29%10280.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
21Rocket403000101821-3201000101111020200000710-320.250182846009211811391479249698032114549306819421.05%15193.33%0915178051.40%877174050.40%727140351.82%1748100616597401422709
22Silver Knights21100000910-1110000005411010000046-220.50091423109211811396892496980321603016368225.00%8275.00%0915178051.40%877174050.40%727140351.82%1748100616597401422709
23Thunderbirds2100010010911000010056-11100000053230.750102030009211811396492496980321622114327228.57%7185.71%0915178051.40%877174050.40%727140351.82%1748100616597401422709
24Wolfpack30200100713-61010000025-32010010058-310.16771118109211811391049249698032110635185114321.43%9366.67%0915178051.40%877174050.40%727140351.82%1748100616597401422709
25Wranglers311000101213-1100000107612110000057-240.667122133009211811399892496980321104362658900.00%13469.23%0915178051.40%877174050.40%727140351.82%1748100616597401422709
Total80254302541329398-6940171702220179193-144082600321150205-55680.42532954287160921181139270592496980321258684770115993086621.43%3349172.75%1915178051.40%877174050.40%727140351.82%1748100616597401422709
_Since Last GM Reset80254302541329398-6940171702220179193-144082600321150205-55680.42532954287160921181139270592496980321258684770115993086621.43%3349172.75%1915178051.40%877174050.40%727140351.82%1748100616597401422709
_Vs Conference51152802240205246-412591102120113124-11266170012092122-30440.43120533754240921181139176592496980321162852644710112144119.16%2175873.27%1915178051.40%877174050.40%727140351.82%1748100616597401422709
_Vs Division1969021108488-410430210048444926000103644-8190.5008413521920921181139657924969803215832192113911002020.00%993069.70%1915178051.40%877174050.40%727140351.82%1748100616597401422709

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8068L132954287127052586847701159960
All Games
GPWLOTWOTL SOWSOLGFGA
8025432541329398
Home Games
GPWLOTWOTL SOWSOLGFGA
4017172220179193
Visitor Games
GPWLOTWOTL SOWSOLGFGA
408260321150205
Last 10 Games
WLOTWOTL SOWSOL
360010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3086621.43%3349172.75%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
92496980321921181139
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
915178051.40%877174050.40%727140351.82%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1748100616597401422709


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
14Icehogs6Senators7WXR1BoxScore
317Senators5Icehogs3WBoxScore
419Senators3Phantoms2WBoxScore
740Admirals5Senators8WR1BoxScore
1160Icehogs4Senators5WR1BoxScore
1268Senators4Admirals5LBoxScore
1580Senators4Americans3WXXR1BoxScore
1791Senators4Phantoms5LXBoxScore
18100Phantoms3Senators4WBoxScore
23124Phantoms9Senators7LBoxScore
25131Senators2Moose5LBoxScore
27144Admirals2Senators4WR1BoxScore
29156Senators4Wranglers2WBoxScore
31167Senators5Marlies4WXXBoxScore
33177Americans5Senators4LR1BoxScore
37196Reign3Senators6WBoxScore
39209Senators6Penguins8LBoxScore
42220Senators5Americans7LR1BoxScore
44228Admirals5Senators1LBoxScore
46244Senators2Reign4LBoxScore
48252Senators5Rocket7LBoxScore
50259Penguins5Senators3LBoxScore
53271Senators2Little Stars7LBoxScore
55285Crunch5Senators3LBoxScore
58298Senators2Wolfpack4LBoxScore
60305Senators6Griffins5WBoxScore
61312Moose5Senators3LBoxScore
64330Senators3Wolfpack4LXBoxScore
65338Thunderbirds6Senators5LXBoxScore
68356Senators1Phantoms4LBoxScore
70363Eagles2Senators4WBoxScore
72382Senators4Silver Knights6LBoxScore
74388Punishers4Senators5WBoxScore
79412Marlies6Senators1LBoxScore
83433Penguins3Senators5WBoxScore
85443Senators3Eagles6LBoxScore
88460Comets5Senators3LBoxScore
90471Senators5Americans4WR1BoxScore
93486Rocket5Senators4LBoxScore
96501Senators6Comets9LBoxScore
98513Canucks6Senators7WBoxScore
100523Senators4Crunch5LXBoxScore
101535Senators5Thunderbirds3WBoxScore
104543Griffins4Senators5WBoxScore
106560Senators6Checkers9LBoxScore
108567Rocket6Senators7WXXBoxScore
112586Senators2Rocket3LBoxScore
114594Wolfpack5Senators2LBoxScore
116608Senators4Admirals9LR1BoxScore
118620Icehogs6Senators5LXR1BoxScore
122641Bears9Senators3LBoxScore
125659Senators7Islander9LBoxScore
126669Little Stars4Senators2LBoxScore
131693Senators1Wranglers5LBoxScore
132697Barracuda6Senators7WBoxScore
135717Americans2Senators5WR1BoxScore
137727Senators3Griffins6LBoxScore
139738Senators3Admirals5LR1BoxScore
141747Barracuda5Senators2LBoxScore
143764Senators3Punishers1WBoxScore
144771Checkers2Senators4WBoxScore
147793Icehogs2Senators3WXR1BoxScore
149799Senators3Bears4LXXBoxScore
153820Americans7Senators6LR1BoxScore
156831Senators1Marlies5LBoxScore
158842Senators3Moose5LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
159848Senators4Canucks8LBoxScore
161856Silver Knights4Senators5WBoxScore
166877Little Stars4Senators6WBoxScore
170899Phantoms5Senators3LBoxScore
171907Senators2Icehogs3LR1BoxScore
173917Senators6Condors2WBoxScore
175928Islander5Senators9WBoxScore
176936Senators4Barracuda6LBoxScore
181956Reign7Senators2LBoxScore
184976Wranglers6Senators7WXXBoxScore
185986Senators4Phantoms8LBoxScore
1891001Senators4Icehogs5LR1BoxScore
1911013Condors2Senators4WBoxScore
2001040Condors8Senators3LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance73,83936,629
Attendance PCT92.30%91.57%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2762 - 92.06% 174,140$6,965,585$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,926,864$ 1,967,500$ 1,967,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,366$ 1,924,659$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 14,764$ 14,764$




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