Senators

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Alexandre Roberge | Morale : 75 | Team Overall : 63

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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 #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
1Jonatan Berggren (R)0XX100.00613691707282876863646962716365075660
2Ryan Reaves0X100.00908981658575876257615856598476075650
3Dryden Hunt0XX100.00804577627379876364626061636971075640
4Ben Meyers (R)0X100.00613791637180736280646061636567075630
5Samuel Walker (R)0XX100.00573689686881716669616759656466075630
6Tye Kartye (R)0X100.00644171657385736466636562656264075630
7Josh Dunne (R)0X100.00794369588986795971585963576567075620
8Tyler Angle (R)0X100.00573686656480866361586259666365075620
9Adam Brooks (R)0X100.00603788637076756469615859626769075620
10Jack Drury (R)0X100.00573778636784876186626065636465075620
11Marc McLaughlin (R)0X100.00663979627577745963586457626566075620
12Ben Hutton0X100.00614987668486766530716268547370075660
13Calle Rosen0X100.00553593687586806530706866586870075660
14Nick Blankenburg (R)0X100.00733385696589676530706470546466075650
15Simon Edvinsson (R)0X100.00804370679484716530626668536062075650
16Filip Roos (R)0X100.00713987618483696330625961506466075630
17Victor Soderstrom (R)0X100.00603879666985836530675861506264075630
18Ryan Merkley (R)0X100.00613974667283846430635456496365075610
19Wyatt Kalynuk (R)0X100.00704168657376826330605355476668075610
Scratches
1Hunter McKown (R)0X100.00623679627880615973605058556061075590
2Nate Sucese (R)0X100.00553788596475805758565652556769075590
3Carter Savoie (R)0X100.00593886546876685354515552546163075570
4Jerad Rosburg (R)0X100.00684267557767745430575156456769075580
TEAM AVERAGE100.0066418164748177625262606057656707562
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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 SP
1Clay Stevenson (R)100.0076555685757476757476756471075650
2Jon Gillies100.0073616297727173727173726983075650
Scratches
1Jaxson Stauber (R)100.0073646578727173727173726471075630
2Jet Greaves100.0074676871737274737274736267075630
TEAM AVERAGE100.007462638373727473727473657307564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Nolan Pratt65747767726778CAN482750,000$


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
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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam Brooks (1 Way Contract)C275/6/1996Yes179 Lbs6 ft0NoNoNo1RFAPro & Farm1,200,000$1,200,000$92,308$NoLink / NHL Link
Ben Hutton (1 Way Contract)D304/20/1993No201 Lbs6 ft3NoNoNo1UFAPro & Farm1,000,000$1,000,000$76,923$NoLink / NHL Link
Ben MeyersC2511/15/1998Yes194 Lbs5 ft11NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Calle RosenD292/2/1994No188 Lbs6 ft1NoNoNo1UFAPro & Farm850,000$0$0$NoLink / NHL Link
Carter SavoieLW211/23/2002Yes192 Lbs5 ft9NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Clay StevensonG243/3/1999Yes195 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Dryden Hunt (1 Way Contract)C/LW2811/24/1995No193 Lbs6 ft0NoNoNo1UFAPro & Farm1,143,000$1,143,000$87,923$NoLink / NHL Link
Filip RoosD241/5/1999Yes190 Lbs6 ft4NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Hunter McKownC218/18/2002Yes205 Lbs6 ft1NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Jack DruryC232/3/2000Yes174 Lbs5 ft11NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Jaxson StauberG244/27/1999Yes174 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Jerad RosburgD276/18/1996Yes200 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jet GreavesG223/30/2001No184 Lbs6 ft0NoNoNo2ELCPro & Farm725,000$0$0$NoLink / NHL Link
Jon GilliesG291/22/1994No223 Lbs6 ft6NoNoNo4UFAPro & Farm950,000$0$0$NoLink / NHL Link
Jonatan BerggrenLW/RW237/16/2000Yes197 Lbs5 ft11NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Josh DunneC2512/8/1998Yes211 Lbs6 ft4NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Marc McLaughlinC247/26/1999Yes203 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Nate SuceseLW277/12/1996Yes174 Lbs5 ft9NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Nick BlankenburgD255/12/1998Yes177 Lbs5 ft9NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Ryan MerkleyD238/14/2000Yes186 Lbs6 ft0NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Ryan ReavesRW361/20/1987No225 Lbs6 ft2NoNoNo1UFAPro & Farm999,999$0$0$NoLink / NHL Link
Samuel WalkerC/RW246/7/1999Yes180 Lbs5 ft10NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Simon EdvinssonD202/5/2003Yes209 Lbs6 ft6NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Tye KartyeLW224/30/2001Yes202 Lbs5 ft11NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Tyler AngleC239/30/2000Yes166 Lbs5 ft10NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Victor SoderstromD222/26/2001Yes184 Lbs5 ft11NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Wyatt KalynukD264/14/1997Yes180 Lbs6 ft1NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2724.96192 Lbs6 ft12.00951,593$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonatan BerggrenDryden HuntRyan Reaves40122
2Tye KartyeSamuel WalkerAdam Brooks30122
3Tyler AngleJosh Dunne20122
4Jonatan BerggrenAdam BrooksRyan Reaves10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HuttonNick Blankenburg40122
2Simon EdvinssonFilip Roos30122
3Victor SoderstromRyan Merkley20122
4Wyatt KalynukBen Hutton10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jonatan BerggrenDryden HuntRyan Reaves60122
2Tye KartyeSamuel WalkerAdam Brooks40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HuttonNick Blankenburg60122
2Simon EdvinssonFilip Roos40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jonatan BerggrenRyan Reaves60122
2Dryden HuntSamuel Walker40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HuttonNick Blankenburg60122
2Simon EdvinssonFilip Roos40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jonatan Berggren60122Ben HuttonNick Blankenburg60122
2Ryan Reaves40122Simon EdvinssonFilip Roos40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jonatan BerggrenRyan Reaves60122
2Dryden HuntSamuel Walker40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben HuttonNick Blankenburg60122
2Simon EdvinssonFilip Roos40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jonatan BerggrenDryden HuntRyan ReavesBen HuttonNick Blankenburg
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jonatan BerggrenDryden HuntRyan ReavesBen HuttonNick Blankenburg
Extra Forwards
Normal PowerPlayPenalty Kill
Jack Drury, Marc McLaughlin, Tyler AngleJack Drury, Marc McLaughlinTyler Angle
Extra Defensemen
Normal PowerPlayPenalty Kill
Victor Soderstrom, Ryan Merkley, Wyatt KalynukVictor SoderstromRyan Merkley, Wyatt Kalynuk
Penalty Shots
Jonatan Berggren, Ryan Reaves, Dryden Hunt, Samuel Walker, Tye Kartye
Goalie
#1 : Jon Gillies, #2 : Clay Stevenson
Custom OT Lines Forwards
Jonatan Berggren, Ryan Reaves, Dryden Hunt, Samuel Walker, Tye Kartye, Tyler Angle, Tyler Angle, Adam Brooks, Josh Dunne, Jack Drury, Marc McLaughlin
Custom OT Lines Defensemen
Ben Hutton, Nick Blankenburg, Simon Edvinsson, Filip Roos, Victor Soderstrom


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

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
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



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price2010
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,235,000$ 1,835,000$ 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$ 1 0$ 0$




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
2382244505602258314-5641132202301115155-4041112303301143159-1666258464722228886796286993197094234299689765021372526124.21%3006179.67%21588304952.08%1531299351.15%713131754.14%2037142718905761026523
23824327071223212576441191505110158133254124120201216312439107321590911131191108314313910191027105561286974756420222675721.35%2464282.93%41731316554.69%1604312151.39%681131151.95%2050145718735801033528
202282313902433304313-9412015012301611342741112401203143179-367930454584911120899093003950982103653304086066520362185726.15%2827174.82%11644296955.37%1626307552.88%735137953.30%1963136419555881048525
2022823633066103323293412213024001631471641142004210169182-139233260894010131100947296095199298931283985362520142427932.64%2616077.01%51571299452.47%1458281951.72%748145551.41%2052144018495741051534
202382373605202305306-141161903102150163-13412117021001551431288305557862011101058552973993100096126305988755919152576123.74%2425278.51%51452290350.02%1373302045.46%659140446.94%1925135119815851038509
Total Regular Season410171180025196915201519120590840131143747732152058196012826773787-14432152027644284575684904314114944484449714983205148034244306310124123631525.49%133128678.51%1779861508052.96%75921502850.52%3536686651.50%1002970409550290651972622