Senators

GM : Ondrej Ptacek Morale : 75 Team Overall : 56
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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
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# 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 SP
1Sergei PlotnikovXX100.00774666775853676560373860504848086570
2Michael McCarron (R)XX100.00769958666056616379394057504545062560
3Viktor Tikhonov (A)XXX100.00664366725456606360394160505757086560
4Zack Mitchell (R)X100.00726875625370656169333958564444062550
5Stefan Noesen (R)XX100.00627663695862625876363460504444079540
6Jordan WealXX100.00564168695050626274373858504545057530
7Tanner Richard (R)X100.00566559625069666074433456504444077530
8Felix Girard (R)X100.00576659605168655565323054504444079500
9Brian Hart (R)XX100.00607562635648575259253155504444059490
10Mark MacMillan (R)XX100.00566459635053605564313252504444024490
11Chris WidemanX100.00694281746666856925414373505151087620
12Scott Harrington (R) (C)X100.00724588737262666825393771506060081610
13Dylan Blujus (R)X100.00837395706979785125303262505555064600
14Jakub NakladalX100.00744567676165656925384069504646081580
15Oliver Kylington (R)X100.00596767735758635625323559505555040540
16Joey LaLeggia (R)X100.00556461725561656625343254504444019530
Scratches
1Steve BernierX100.00717667759273686557424158537579074640
2Tom KuhnhacklXX100.00684466705558736460444265504747083570
3Daniel CatenacciXX100.00724477735250606058373857504545069540
4Danny BiegaX100.00577464715965685825293257504646076530
5Matt Finn (R)X100.00567162645861656625323357504646019530
6Patrick McNally (R)X100.00596967615757635325242758504646020500
TEAM AVERAGE100.0065626868596166614935366050494906355
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Jason Kasdorf (R)100.0066686575667965727366485555086660
2Richard Bachman100.0067726470687469716966535959085660
Scratches
1Rasmus Tirronen100.0058707265666864626061495555019610
TEAM AVERAGE100.006470677067746668676450565606364
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kurt Kleinendorst54616365605860USA555100,000$


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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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% FOT GA TA EG HT P/20 PSG PSS
1Chris WidemanSenatorsSenators (OTT)D199101910202675354212.00%4226.:.5422401148210.00%03148000.7400
2Viktor TikhonovSenatorsSenators (OTT)C/LW/RW1948121120275420427.41%1221.:.21156011581047.95%365428100.5900
3Tom KuhnhacklSenatorsSenators (OTT)LW/RW14551011002945192711.11%1219.:.13235101441040.00%103411000.7400
4Steve BernierSenatorsSenators (OTT)RW1645935735334810398.33%418.:.4201100040171.43%21408000.6000
5Michael McCarronSenatorsSenators (OTT)C/RW19426-37955393451811.76%416.:.5800000071060.87%23246000.3700
6Tanner RichardSenatorsSenators (OTT)C15066928101894150.00%617.:.2201100000046.12%23245000.4600
7Sergei PlotnikovSenatorsSenators (OTT)LW/RW19325040293311239.09%415.:.1400000050060.00%10483000.3500
8Oliver KylingtonSenatorsSenators (OTT)D19044-580162210140.00%2616.:.4200000011000.00%01023000.2500
9Daniel CatenacciSenatorsSenators (OTT)C/LW18044-300213911350.00%514.:.45000000270050.00%106336000.3000
10Jakub NakladalSenatorsSenators (OTT)D19224-7120385122233.92%2620.:.591010004100.00%01825000.2000
11Dylan BlujusSenatorsSenators (OTT)D19134-2221019181165.56%3717.:.4310100036000.00%0224000.2400
12Scott HarringtonSenatorsSenators (OTT)D19033-400226024350.00%4123.:.1702200040000.00%01734000.1400
13Jordan WealSenatorsSenators (OTT)C/RW19033-640144020230.00%815.:.2700000040049.45%182284000.2000
14Zack MitchellSenatorsSenators (OTT)RW19123-140333514262.86%1013.:.3101100000075.00%497000.2300
15Felix GirardSenatorsSenators (OTT)C6011-3101067310.00%316.:.3900000010058.33%4824000.2000
16Stefan NoesenSenatorsSenators (OTT)LW/RW190113645020194100.00%514.:.2800000040046.15%13112000.0700
17Joey LaLeggiaSenatorsSenators (OTT)D2000-20001000.00%015.:.260000000000.00%001000.0000
18Brian HartSenatorsSenators (OTT)LW/RW18000-444401618260.00%411.:.1500000000041.67%1225000.0000
19Mark MacMillanSenatorsSenators (OTT)C/RW2000-22042010.00%111.:.3200000000045.45%1121000.0000
20Matt FinnSenatorsSenators (OTT)D100000000000.00%119.:.530000000000.00%002000.0000
Team Total or Average301336194-153622104104786102253865.41%251532217.687152266321123123006249.28%1037357227100.350091715353
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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
1Richard BachmanSenatorsSenators (OTT)1474392.7%2.568452036495307000.0%0145102
2Jason KasdorfSenatorsSenators (OTT)622195.0%1.713870011219131010.0%0514210
Team Total or Average209640.9342.2912322047714438010.00001919312


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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 Force Waivers Contract StatusType Current Salary Salary RemainingSalary Year 2 Salary Year 3 Salary Year 4 Salary Year 5 Salary Year 6 Salary Year 7 Salary Year 8 Salary Year 9 Salary Year 10 Link
Brian HartSenators (OTT)LW/RW2325.11.1993Yes203 Lbs6 ft2NoNo10RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Chris WidemanSenators (OTT)D277.1.1990 11:24:59No180 Lbs5 ft10NoNo1UFAPro & Farm1,300,000$Link
Daniel CatenacciSenators (OTT)C/LW249.3.1993No192 Lbs5 ft9NoNo2RFAPro & Farm900,000$900,000$Link
Danny BiegaSenators (OTT)D2529.9.1991 15:13:00No205 Lbs6 ft0NoNo1RFAPro & Farm1,000,000$Link
Dylan BlujusSenators (OTT)D2322.1.1994Yes191 Lbs6 ft3NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Felix GirardSenators (OTT)C239.5.1994Yes185 Lbs5 ft10NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Jakub NakladalSenators (OTT)D2929.12.1987No205 Lbs6 ft2NoNo1UFAPro & Farm1,500,000$Link
Jason KasdorfSenators (OTT)G258.5.1992 17:28:26Yes178 Lbs6 ft3NoNo9RFAPro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Joey LaLeggiaSenators (OTT)D2424.6.1992 15:05:47Yes183 Lbs5 ft9NoNo9RFAPro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Jordan WealSenators (OTT)C/RW2515.4.1992 14:38:36No179 Lbs5 ft10NoNo1RFAPro & Farm1,000,000$Link
Mark MacMillanSenators (OTT)C/RW2523.1.1992Yes172 Lbs6 ft0NoNo10RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Matt FinnSenators (OTT)D2324.2.1994Yes199 Lbs6 ft0NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Michael McCarronSenators (OTT)C/RW227.3.1995 15:07:56Yes237 Lbs6 ft5NoNo3ELCPro & Farm1,200,000$1,200,000$1,200,000$Link
Oliver KylingtonSenators (OTT)D2019.5.1997 15:04:29Yes181 Lbs6 ft0NoNo9ELCPro & Farm100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Patrick McNallySenators (OTT)D254.12.1991Yes181 Lbs6 ft2NoNo10RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Rasmus TirronenSenators (OTT)G269.11.1990 0:01:39No200 Lbs6 ft3NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Richard BachmanSenators (OTT)G2925.7.1987No183 Lbs5 ft10NoNo2UFAPro & Farm900,000$900,000$Link
Scott HarringtonSenators (OTT)D241.1.1993 15:15:41Yes201 Lbs6 ft2NoNo1RFAPro & Farm1,000,000$Link
Sergei PlotnikovSenators (OTT)LW/RW263.6.1990 3:23:02No205 Lbs6 ft2NoNo1RFAPro & Farm1,000,000$Link
Stefan NoesenSenators (OTT)LW/RW2412.2.1993Yes205 Lbs6 ft2NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Steve BernierSenators (OTT)RW3231.3.1985No215 Lbs6 ft3NoNo2UFAPro & Farm1,200,000$1,200,000$Link
Tanner RichardSenators (OTT)C246.4.1993 11:30:09Yes176 Lbs6 ft0NoNo7RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Tom KuhnhacklSenators (OTT)LW/RW2521.2.1992 11:31:02No196 Lbs6 ft2NoNo1RFAPro & Farm1,200,000$Link
Viktor TikhonovSenators (OTT)C/LW/RW2912.5.1988 4:06:53No189 Lbs6 ft2NoNo1UFAPro & Farm1,100,000$Link
Zack MitchellSenators (OTT)RW247.1.1993Yes185 Lbs6 ft0NoNo9RFAFarm Only100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$100,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.04193 Lbs6 ft15.40584,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sergei PlotnikovViktor Tikhonov40113
2Tanner RichardMichael McCarron30023
3Stefan NoesenJordan WealZack Mitchell20032
4Felix GirardBrian Hart10140
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub NakladalChris Wideman45122
2Scott HarringtonDylan Blujus40122
3Joey LaLeggiaOliver Kylington15122
4Jakub NakladalChris Wideman0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Sergei PlotnikovMichael McCarron60005
2Viktor TikhonovZack Mitchell40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub NakladalChris Wideman60122
2Scott HarringtonDylan Blujus40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Viktor Tikhonov60122
2Michael McCarronSergei Plotnikov40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub NakladalChris Wideman60122
2Scott HarringtonDylan Blujus40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Viktor Tikhonov60122Jakub NakladalChris Wideman60122
240122Scott HarringtonDylan Blujus40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sergei Plotnikov60122
2Michael McCarronViktor Tikhonov40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jakub NakladalChris Wideman60122
2Scott HarringtonDylan Blujus40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Sergei PlotnikovMichael McCarronJakub NakladalChris Wideman
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Sergei PlotnikovMichael McCarronScott HarringtonChris Wideman
Extra Forwards
Normal PowerPlayPenalty Kill
Felix Girard, Stefan Noesen, Jordan WealFelix Girard, Stefan NoesenJordan Weal
Extra Defensemen
Normal PowerPlayPenalty Kill
Jakub Nakladal, Oliver Kylington, Scott HarringtonJakub NakladalOliver Kylington, Scott Harrington
Penalty Shots
, Sergei Plotnikov, Michael McCarron, Viktor Tikhonov, Zack Mitchell
Goalie
#1 : Richard Bachman, #2 : Jason Kasdorf


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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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1SenatorsPenguins743000001819-180.571182947001716161234235219224462491016715315320.00%17194.12%120942948.72%19941348.18%12323552.34%447280459175327161
2SenatorsCheckers743000002619780.5712642680017161612702352192244625911120916619526.32%22672.73%020942948.72%19941348.18%12323552.34%447280459175327161
3SenatorsCrunch51400000610-420.200691510171616122023521922446207819014213215.38%10190.00%020942948.72%19941348.18%12323552.34%447280459175327161
Vs Division14860000044386160.57144711150017161615042352192244650821227631934823.53%39782.05%120942948.72%19941348.18%12323552.34%447280459175327161
Vs Conference199100000050482180.474508013010171616172423521922446715293366461471021.28%49883.67%120942948.72%19941348.18%12323552.34%447280459175327161
Since Last GM Reset199100000050482180.474508013010171616172423521922446715293366461471021.28%49883.67%120942948.72%19941348.18%12323552.34%447280459175327161
Total199100000050482180.474508013010171616172423521922446715293366461471021.28%49883.67%120942948.72%19941348.18%12323552.34%447280459175327161

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
1918L1508013072471529336646110
All Games
GPWLOTWOTL SOWSOLGFGA
1991000005048
Home Games
GPWLOTWOTL SOWSOLGFGA
85300002619
Visitor Games
GPWLOTWOTL SOWSOLGFGA
114700002429
Last 10 Games
WLOTWOTL SOWSOL
331300
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
471021.28%49883.67%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
235219224461716161
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
20942948.72%19941348.18%12323552.34%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
447280459175327161


Last Played Games
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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
DateMatchup Result Detail
Fri, Nov 22Senators@SenatorsSenators5,Checkers3RECAP
Sun, Nov 24Senators@SenatorsSenators1,Checkers2 (OT)RECAP
Tue, Nov 26Senators@SenatorsCheckers2,Senators4RECAP
Thu, Nov 28Senators@SenatorsCheckers4,Senators3RECAP
Sat, Nov 30Senators@SenatorsSenators3,Checkers4RECAP
Mon, Dec 2Senators@SenatorsCheckers3,Senators7RECAP
Wed, Dec 4Senators@SenatorsSenators3,Checkers1RECAP
Fri, Dec 6Senators@SenatorsSenators1,Penguins3RECAP
Sun, Dec 8Senators@SenatorsSenators4,Penguins1RECAP
Tue, Dec 10Senators@SenatorsPenguins1,Senators3RECAP
Thu, Dec 12Senators@SenatorsPenguins3,Senators2 (OT)RECAP
Sat, Dec 14Senators@SenatorsSenators1,Penguins7RECAP
Mon, Dec 16Senators@SenatorsPenguins3,Senators4RECAP
Wed, Dec 18Senators@SenatorsSenators3,Penguins1RECAP
Fri, Dec 20Senators@SenatorsSenators1,Crunch2 (OT)RECAP
Sun, Dec 22Senators@SenatorsSenators1,Crunch3RECAP
Tue, Dec 24Senators@SenatorsCrunch1,Senators2 (OT)RECAP
Thu, Dec 26Senators@SenatorsCrunch2,Senators1 (OT)RECAP
Sat, Dec 28Senators@SenatorsSenators1,Crunch2RECAP



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
33 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches Salaries
1,340,000$ 430,000$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To Date
0$ 0$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 0$ 0$




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