Roadrunners

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Mathieu Roy | Morale : 75 | Team Overall : 62

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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.
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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
1Adam Beckman (R)53XX100.00653789637788856258596461636264075630
2Lucas Condotta (R)73X100.00804175638279745774586659616568075630
3Brett Leason (R)22XXX100.00583992619376836358576156646365075620
4Oskar Olausson (R)72XXX100.00623785657381716355586062646163075620
5Mason Morelli (R)10X100.00684272607783865964615758626769075610
6Brad Lambert (R)19XX100.00603882646985615955525653636062075590
7Jacob Perreault (R)64X100.00603971597177795857555659556163075590
8Marc Johnstone9X100.00623982547170735356545552536769075580
9Wyatt Bongiovanni74X100.00643884557372705458515653556466075580
10Shawn Element (R)62X100.00746561567378745562545753566365075580
11Corey Schueneman54X100.00623789637285836230666064526870075640
12Shakir Mukhamadullin (R)44X100.00733989628265616330695464486163075630
13Simon Nemec (R)2X100.00653891677578716430615758485961075620
14Santtu Kinnunen (R)5X100.00653889597480725830625657486466075610
15Matthew Kessel (R)6X100.00684174608184765930605862496365075610
16Helge Grans (R)3X100.00784092568766815430555358466163075600
17Joseph Cecconi (R)52X100.00734078548269825330555356456668075590
Scratches
1Arthur Kaliyev34XX100.00573989688280867257676958716264075660
2Juuso Parssinen (R)0XX100.00764287708684697280716062736466075660
3Ville Heinola14X100.00644078667483806530695860506264075630
4Nate Clurman84X100.00724083548165715330555457466567075590
5Wyatt Aamodt7X100.00663977557564695430565257466668075580
TEAM AVERAGE100.0067408261787775604759585855636507561
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 SP
1Arturs Silovs (R)100.0075707187747375747375746267075650
2Daniil Tarasov (R)100.0073787589727173727173726471075650
Scratches
1Leevi Merilainen (R)100.0078605972777678777678776165075650
2Michael Houser100.0074616274737274737274737185075650
3Zane McIntyre100.0073666782727173727173727385075650
TEAM AVERAGE100.007567678174737574737574667507565
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Benoit Groulx70657266857966CAN553500,000$


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 BeckmanC/LW225/10/2001Yes182 Lbs6 ft2NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Arthur KaliyevLW/RW226/26/2001No210 Lbs6 ft2NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Arturs SilovsG223/22/2001Yes203 Lbs6 ft4NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Brad LambertC/RW2012/19/2003Yes175 Lbs6 ft0NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Brett LeasonC/LW/RW244/30/1999Yes218 Lbs6 ft5NoNoNo4RFAPro & Farm806,300$0$0$NoLink / NHL Link
Corey SchuenemanD289/2/1995No197 Lbs5 ft11NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Daniil TarasovG243/27/1999Yes196 Lbs6 ft5NoNoNo3RFAPro & Farm925,000$0$0$NoLink / NHL Link
Helge GransD215/10/2002Yes205 Lbs6 ft4NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Jacob PerreaultRW214/15/2002Yes192 Lbs5 ft11NoNoNo1ELCPro & Farm850,000$0$0$NoLink / NHL Link
Joseph CecconiD265/23/1997Yes210 Lbs6 ft2NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Juuso ParssinenC/LW222/1/2001Yes212 Lbs6 ft3NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Leevi MerilainenG218/13/2002Yes158 Lbs6 ft2NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Lucas CondottaC266/19/1997Yes223 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Marc JohnstoneRW276/19/1996No181 Lbs6 ft0NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Mason MorelliLW272/1/1996Yes198 Lbs6 ft1NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Matthew KesselD236/23/2000Yes205 Lbs6 ft2NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Michael HouserG319/13/1992No185 Lbs6 ft1NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Nate ClurmanD255/8/1998No205 Lbs6 ft2NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Oskar OlaussonC/LW/RW2111/10/2002Yes180 Lbs6 ft1NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Santtu KinnunenD243/25/1999Yes154 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Shakir MukhamadullinD211/10/2002Yes178 Lbs6 ft4NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Shawn ElementC234/23/2000Yes192 Lbs6 ft0NoNoNo2ELCPro & Farm950,000$0$0$NoLink / NHL Link
Simon NemecD192/15/2004Yes190 Lbs6 ft1NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Ville HeinolaD223/2/2001No185 Lbs6 ft1NoNoNo3ELCPro & Farm879,700$0$0$NoLink / NHL Link
Wyatt AamodtD2611/22/1997No201 Lbs6 ft0NoNoNo2RFAPro & Farm750,000$0$0$NoLink / NHL Link
Wyatt BongiovanniC247/24/1999No194 Lbs6 ft0NoNoNo3RFAPro & Farm750,000$0$0$NoLink / NHL Link
Zane McIntyreG318/20/1992No206 Lbs6 ft2NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2723.81194 Lbs6 ft22.30882,815$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam BeckmanBrett Leason40122
2Oskar OlaussonLucas CondottaJacob Perreault30122
3Mason MorelliBrad LambertMarc Johnstone20122
4Wyatt BongiovanniAdam Beckman10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Corey SchuenemanShakir Mukhamadullin40122
2Simon NemecSanttu Kinnunen30122
3Matthew KesselHelge Grans20122
4Joseph CecconiCorey Schueneman10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Adam BeckmanBrett Leason60122
2Oskar OlaussonLucas CondottaJacob Perreault40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Corey SchuenemanShakir Mukhamadullin60122
2Simon NemecSanttu Kinnunen40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Adam Beckman60122
2Lucas CondottaBrett Leason40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Corey SchuenemanShakir Mukhamadullin60122
2Simon NemecSanttu Kinnunen40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Corey SchuenemanShakir Mukhamadullin60122
2Adam Beckman40122Simon NemecSanttu Kinnunen40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Adam Beckman60122
2Lucas CondottaBrett Leason40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Corey SchuenemanShakir Mukhamadullin60122
2Simon NemecSanttu Kinnunen40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Adam BeckmanBrett LeasonCorey SchuenemanShakir Mukhamadullin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Adam BeckmanBrett LeasonCorey SchuenemanShakir Mukhamadullin
Extra Forwards
Normal PowerPlayPenalty Kill
Shawn Element, Mason Morelli, Brad LambertShawn Element, Mason MorelliBrad Lambert
Extra Defensemen
Normal PowerPlayPenalty Kill
Matthew Kessel, Helge Grans, Joseph CecconiMatthew KesselHelge Grans, Joseph Cecconi
Penalty Shots
, Adam Beckman, Lucas Condotta, Brett Leason, Oskar Olausson
Goalie
#1 : Daniil Tarasov, #2 : Arturs Silovs
Custom OT Lines Forwards
, Adam Beckman, Lucas Condotta, Brett Leason, Oskar Olausson, Mason Morelli, Mason Morelli, Jacob Perreault, Brad Lambert, Marc Johnstone, Wyatt Bongiovanni
Custom OT Lines Defensemen
Corey Schueneman, Shakir Mukhamadullin, Simon Nemec, Santtu Kinnunen, Matthew Kessel


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 Price3519
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$ 2,383,600$ 2,040,000$ 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
2382314003521296325-2941162002210154161-741152001311142164-227829652782301106988753010983104295835332697165021642677327.34%2756277.45%31397303746.00%1518333245.56%613137844.48%1901133620515911001488
202282314104402333385-5241162101201170194-2441152003201163191-287633359292520130991005316210761044101632340098257220772375724.05%2556176.08%31444301947.83%1391310944.74%670151944.11%1827126921015941020489
2023823935015112842840412215011111461252141172000400138159-21882845188022212096663290096198594519287479857319562634717.87%2254580.00%31494297850.17%1491300849.57%690137250.29%1979137919135971050527
Total Regular Season246101116081434913994-81123545604522470480-10123476004912443514-71242913163725504335629325313907230203071291986960027511795619776717723.08%75516877.75%94335903447.99%4400944946.57%1973426946.22%570939856066178330721505