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Senators
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Didier Theodore | Morale : 40 | Team Overall : 66
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Team Leaders

Team Stats
Team Info

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


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team27
Farm Team19
Contract Limit46 / 250
Prospects0


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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 SPAgeContractSalary
1Zachary Sanford (R)X100.007322718169817280687374687557534740720231950,000$
2Zemgus Girgensons (R)X100.008034827376787172757478617457504440720231950,000$
3Oliver Bjorkstrand (R)X100.007330887773747972677087566855465740710221950,000$
4Tomas JurcoX100.007733767282716871717673657364603640710251700,000$
5Christoph Bertschy (R)X100.006527818074796873707171697955474640700232750,000$
6Jacob De La Rose (R)X100.006923856876837061687271797155465440700222850,000$
7Brendan Perlini (R)X100.006822827675717470646684567247445543690211800,000$
8Jordan SchroederX100.006133806871736877696872666962603140690271925,000$
9C.J Suess (R)X100.007331757275645970657076637048504940680231800,000$
10Kevin Rooney (R)X100.006545757268727567787071617352523840680241500,000$
11Grant Besse (R)X100.005832777062716269706366627147493340640231500,000$
12Vitaly Abramov (R)X100.005035747167626069536174416742426540610191500,000$
13Jordan Schmaltz (R)X100.007137817674777573537266837067524344730241950,000$
14Keegan Lowe (R)X100.007027777378856770537469745962504240710241500,000$
15Joonas Lyytinen (R)X100.007029796864566363416847795249484740660221500,000$
16Nikita Nesterov (R)X100.006625797465716666477066666548484240660241500,000$
17Mason Geertsen (R)X100.006945785963547663485751675647464340630221500,000$
18Jonas Siegenthaler (R)X100.005726845860576751286144754243435240610202500,000$
19Gustav Forsling (R)X100.006833735752666258376065535243435440580211250,000$
Scratches
1Arttu Ruotsalainen (R)X100.004934676158696666515380506344445640600201500,000$
2Brandon Biro (R)X100.006038736456605864655863506441416240590202500,000$
3Cliff Pu (R)X100.005423685161595162545867336341415340550191500,000$
4Bryce Kindopp (R)X100.005732585361515654534959515540407440530192500,000$
TEAM AVERAGE100.00653177686869676759666862655148494066
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Garret Sparks100.00767388656872776167827153494040700242950,000$
2David Rittich (R)100.00676585615781845557857651506440680254950,000$
Scratches
1Scott Wedgewood100.00656470646568686163696048492940640253750,000$
2Olle Eriksson Ek (R)100.00544860545855505449515540406440520192500,000$
TEAM AVERAGE100.0066637661626970585972664847494064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mario Lemieux58697272515555CAN5311,000,000$


Filter Tips
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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 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
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


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 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 10Link
Arttu RuotsalainenSenators (Ott)C201997-01-01Yes181 Lbs5 ft8NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Brandon BiroSenators (Ott)LW201997-01-01Yes170 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Brendan PerliniSenators (Ott)LW211996-01-01Yes211 Lbs6 ft3NoNoNo1Pro & Farm800,000$800,000$0$0$NoLink
Bryce KindoppSenators (Ott)RW191998-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
C.J SuessSenators (Ott)LW231994-01-01Yes190 Lbs5 ft11NoNoNo1Pro & Farm800,000$800,000$0$0$NoLink
Christoph BertschySenators (Ott)C231994-01-01Yes182 Lbs5 ft10NoNoNo2Pro & Farm750,000$750,000$0$0$No750,000$Link
Cliff PuSenators (Ott)RW191998-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
David RittichSenators (Ott)G251992-01-01Yes206 Lbs6 ft3NoNoNo4Pro & Farm950,000$950,000$0$0$No950,000$1,500,000$2,500,000$Link
Garret SparksSenators (Ott)G241993-01-01No207 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No950,000$
Grant BesseSenators (Ott)RW231994-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Gustav ForslingSenators (Ott)D211996-01-01Yes186 Lbs6 ft0NoNoNo1Pro & Farm250,000$250,000$0$0$NoLink
Jacob De La RoseSenators (Ott)C221995-01-01Yes185 Lbs6 ft2NoNoNo2Pro & Farm850,000$850,000$0$0$No850,000$Link
Jonas SiegenthalerSenators (Ott)D201997-01-01Yes210 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Joonas LyytinenSenators (Ott)D221995-01-01Yes189 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Jordan SchmaltzSenators (Ott)D241993-01-01Yes180 Lbs6 ft0NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Jordan SchroederSenators (Ott)C271990-01-01No175 Lbs5 ft8NoNoNo1Pro & Farm925,000$925,000$0$0$No
Keegan LoweSenators (Ott)D241993-01-01Yes200 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
Kevin RooneySenators (Ott)C241993-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Mason GeertsenSenators (Ott)D221995-01-01Yes185 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Nikita NesterovSenators (Ott)D241993-01-01Yes191 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$No
Oliver BjorkstrandSenators (Ott)RW221995-01-01Yes185 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Olle Eriksson EkSenators (Ott)G191998-01-01Yes189 Lbs6 ft3NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Scott WedgewoodSenators (Ott)G251992-01-01No190 Lbs6 ft2NoNoNo3Pro & Farm750,000$750,000$0$0$No750,000$950,000$
Tomas JurcoSenators (Ott)RW251992-01-01No203 Lbs6 ft1NoNoNo1Pro & Farm700,000$700,000$0$0$No
Vitaly AbramovSenators (Ott)LW191998-01-01Yes181 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Zachary SanfordSenators (Ott)LW231994-01-01Yes185 Lbs6 ft3NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Zemgus GirgensonsSenators (Ott)LW231994-01-01Yes186 Lbs6 ft1NoNoNo1Pro & Farm950,000$950,000$0$0$NoLink
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2722.33189 Lbs6 ft11.44667,593$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordChristoph BertschyTyler Pitlick40122
2Zemgus GirgensonsJacob De La RoseOliver Bjorkstrand30122
3Brendan PerliniJordan SchroederTomas Jurco15122
4C.J SuessKevin RooneyGrant Besse15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe40122
2Joonas LyytinenNikita Nesterov30122
3Mason GeertsenJonas Siegenthaler20122
4Gustav ForslingJordan Schmaltz10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Zachary SanfordChristoph BertschyTyler Pitlick60014
2Zemgus GirgensonsJacob De La RoseOliver Bjorkstrand40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Christoph BertschyZachary Sanford60122
2Jacob De La RoseZemgus Girgensons40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Christoph Bertschy60122Jordan SchmaltzKeegan Lowe60122
2Jacob De La Rose40122Joonas LyytinenNikita Nesterov40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Christoph BertschyZachary Sanford60122
2Jacob De La RoseZemgus Girgensons40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jordan SchmaltzKeegan Lowe60122
2Joonas LyytinenNikita Nesterov40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordChristoph BertschyTyler PitlickJordan SchmaltzKeegan Lowe
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Zachary SanfordChristoph BertschyTyler PitlickJordan SchmaltzKeegan Lowe
Extra Forwards
Normal PowerPlayPenalty Kill
Tomas Jurco, Christoph Bertschy, Jacob De La RoseTomas Jurco, Christoph BertschyTomas Jurco
Extra Defensemen
Normal PowerPlayPenalty Kill
Mason Geertsen, Jonas Siegenthaler, Gustav ForslingMason GeertsenMason Geertsen, Jonas Siegenthaler
Penalty Shots
Tyler Pitlick, Zachary Sanford, Zemgus Girgensons, Oliver Bjorkstrand, Tomas Jurco
Goalie
#1 : Garret Sparks, #2 : David Rittich


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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
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
Total00000000000000000000000000000000000.000000000000000000000000.00%000.00%0000.00%000.00%000.00%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


Last Played Games
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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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,135,000$ 1,720,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

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




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

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 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