Reign

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

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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
1Michael Pezzetta0XX100.00927872658170766252636164656768075640
2Dalibor Dvorsky (R)0X100.00643889667885716372605964626165075630
3Rasmus Asplund0XXX100.00633690647079866270615863596870075630
4Jeffrey Viel0X100.00748152608182875965605861576870075620
5Ben King (R)0X100.00744182598375835864575960566365075620
6Carter Mazur (R)0X100.00573778636884746259606164626365075620
7Mason Shaw0X100.00666961646783796372616062646769075620
8Scott Reedy (R)0X100.00723893618174665862566059576668075620
9Carsen Twarynski (R)0XXX100.00714078598078715855565759566870075610
10Josh Lopina (R)0X100.00703989587966845761555659576466075610
11Kai Uchacz (R)0X100.00734369568273725763585859556264075600
12Nathan Legare (R)0X100.00774166587479835652575955586465075600
13Artyom Levshunov (R)0X100.00714172648290726530675863526064075630
14Derrick Pouliot0X100.00693978657877866330645562497273075630
15Roland McKeown0X100.00674076597674865830595857486971075610
16Blake Hillman0X100.00673894577663805630555354456971075600
17Patrik Koch0X100.00774360597573745730555258476971075600
18Dillon Heatherington0X100.00804280558965825430535259457072075600
Scratches
1Ondrej Becher (R)0X100.00653795587471705561565754586163075590
2Brett Budgell0X100.00624272567162645565585054526466075570
3Colton Poolman0X100.00653795577462765630555354467072075590
4Aaron Ness0X100.00583885556763825430565354457580075590
TEAM AVERAGE100.0070447860777477595158575954666907561
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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
# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Arturs Silovs (R)100.0077848087767577767577766471075670
2Devin Cooley100.0075847988747375747375746881075660
Scratches
1Calle Clang (R)100.0073837979727173727173726369075640
TEAM AVERAGE100.007584798574737574737574657407566
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Greg Cronin83797879918554USA613999,999$


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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 StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Aaron NessD351990-05-18No184 Lbs5 ft10NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Arturs SilovsG242001-03-22Yes203 Lbs6 ft4NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Artyom LevshunovD192005-10-28Yes208 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Ben KingC232002-05-15Yes200 Lbs6 ft3NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Blake HillmanD291996-01-26No193 Lbs6 ft1NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Brett BudgellC242001-06-01No185 Lbs6 ft0NoNoNo2RFAPro & Farm850,000$0$0$NoLink / NHL Link
Calle ClangG232002-05-20Yes194 Lbs6 ft2NoNoNo1RFAPro & Farm950,000$0$0$NoLink / NHL Link
Carsen TwarynskiC/LW/RW271997-11-24Yes198 Lbs6 ft2NoNoNo3RFAPro & Farm800,000$0$0$NoLink / NHL Link
Carter MazurRW232002-03-28Yes170 Lbs6 ft0NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Colton PoolmanD291995-12-18No200 Lbs6 ft0NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Dalibor DvorskyC202005-06-15Yes201 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Derrick PouliotD311994-01-16No204 Lbs6 ft1NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Devin CooleyG281997-05-25No192 Lbs6 ft5NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Dillon HeatheringtonD301995-05-09No215 Lbs6 ft4NoNoNo1UFAPro & Farm750,000$0$0$NoLink / NHL Link
Jeffrey VielLW281997-01-28No205 Lbs6 ft2NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Josh LopinaC242001-02-16Yes195 Lbs6 ft2NoNoNo3RFAPro & Farm900,000$0$0$NoLink / NHL Link
Kai UchaczC222003-06-24Yes209 Lbs6 ft2NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Mason Shaw (1 Way Contract)LW261998-11-03No184 Lbs5 ft10NoNoNo2RFAPro & Farm2,000,000$2,000,000$142,857$NoLink / NHL Link
Michael PezzettaC/LW271998-03-13No219 Lbs6 ft1NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Nathan LegareRW242001-01-11Yes200 Lbs6 ft0NoNoNo3RFAPro & Farm999,999$0$0$NoLink / NHL Link
Ondrej BecherC212004-02-22Yes184 Lbs6 ft1NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Patrik KochD281996-12-08No190 Lbs6 ft1NoNoNo2UFAPro & Farm750,000$0$0$NoLink / NHL Link
Rasmus AsplundC/LW/RW271997-12-03No190 Lbs5 ft11NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Roland McKeownD291996-01-20No195 Lbs6 ft1NoNoNo3UFAPro & Farm999,999$0$0$NoLink / NHL Link
Scott ReedyRW261999-04-04Yes205 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2525.88197 Lbs6 ft12.16936,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael PezzettaCarter Mazur40122
2Ben King30122
3Jeffrey VielJosh LopinaCarsen Twarynski20122
4Mason ShawNathan Legare10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDerrick Pouliot42122
2Roland McKeownBlake Hillman34122
3Patrik Koch24122
4Artyom LevshunovDerrick Pouliot0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael PezzettaCarter Mazur60122
2Ben King40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDerrick Pouliot60122
2Roland McKeownBlake Hillman40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Josh LopinaJeffrey Viel60122
2Carsen Twarynski40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDerrick Pouliot60122
2Roland McKeownBlake Hillman40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Josh Lopina60122Artyom LevshunovDerrick Pouliot60122
240122Roland McKeownBlake Hillman40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ben KingMichael Pezzetta60122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Artyom LevshunovDerrick Pouliot60122
2Roland McKeownBlake Hillman40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Carter MazurArtyom LevshunovDerrick Pouliot
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael PezzettaCarter MazurArtyom LevshunovDerrick Pouliot
Extra Forwards
Normal PowerPlayPenalty Kill
, Jeffrey Viel, Mason Shaw, Jeffrey Viel
Extra Defensemen
Normal PowerPlayPenalty Kill
Blake Hillman, Patrik Koch, Blake HillmanBlake Hillman, Patrik Koch
Penalty Shots
Michael Pezzetta, , , Carter Mazur,
Goalie
#1 : Arturs Silovs, #2 : Devin Cooley
Custom OT Lines Forwards
Michael Pezzetta, , , Carter Mazur, , Jeffrey Viel, Jeffrey Viel, Mason Shaw, Ben King, Carsen Twarynski, Josh Lopina
Custom OT Lines Defensemen
Artyom Levshunov, Derrick Pouliot, Roland McKeown, Blake Hillman, Patrik Koch


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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

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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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
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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 Price3020
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
10 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,140,000$ 2,140,000$ 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
2024823733028202762742412111017101541322241162201110122142-20902764957713212878667266586591287622289678453918982755620.36%2255276.89%01513291251.96%1532305150.21%693137250.51%1887129220026101062525
2025823836033023052941141221701001162152104116190230114314218730555786231127104713307310051019103322304487769021682485321.37%2967475.00%01663309853.68%1663316052.63%720138651.95%2029141718725861041528
Total Regular Season164756905112258156813824328027113162843282324103411265284-19177581105216336325518213710573818701931190944594016611229406652310920.84%52112675.82%03176601052.85%3195621151.44%1413275851.23%391727103875119721031054
Playoff
2024514000001521-620200000811-331200000710-3215264100536115640524618198423812619315.79%12466.67%08816852.38%9420944.98%499352.69%11879144427235
Total Playoff514000001521-620200000811-331200000710-3215264100536115640524618198423812619315.79%12466.67%08816852.38%9420944.98%499352.69%11879144427235