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Chill
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Maxime Pigeon-Gosselin | Morale : 50 | Team Overall : 54
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Team Leaders

Team Stats
Team Info

General ManagerMaxime Pigeon-Gosselin
DivisionAtlantique
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team23
Farm Team22
Contract Limit45 / 50
Prospects27


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.
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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 SPAgeContractSalary Average
1Scott ReedyX100.00634290697659716953567263254747050610223800,000$
2Rafael Harvey-PinardXX100.00726490706463636379626163584444050600221825,000$
3James HamblinXX100.006962866762666859745063606044440505702221,000,000$
4Evan BarrattX100.00696870646861635670505860554444050560222870,000$
5Lauri Pajuniemi (R)X100.00746791656751505950536163584444050560223883,750$
6Gage Goncalves (R)X100.00726783636757575771506061574444050560204820,000$
7Yaroslav Likhachyok (R)X100.00443799716272915857515545585454050560204560,000$
8Luke Toporowski (R)X100.00453999696569895455445544585454050540204560,000$
9Jakub Lauko (R)XX100.00666471676457595164524657444444050530213764,167$
10Josh Lopina (R)X100.00767286617238355164514662444444050520204878,333$
11Jacob Bernard-Docker (R)X100.00654285757065625825504765254545050590213925,000$
12John Ludvig (R)X100.00707571627554555425474661464444050550212853,333$
13Samuel Sjolund (R)X100.00453999656465953925393243345454050520204560,000$
14Josh Maniscalco (R)X100.00757684597644463925263660364444050510223853,333$
Scratches
1Raphael Lavoie (R)XX100.00807591687557585771515965564444050580212870,000$
2Declan McDonnell (R)XXX100.00706887626855584659434159414444050510193700,000$
3Jay O'Brien (R)X100.00484584676748524954394847535454050500213895,000$
4Vladislav Firstov (R)X100.00474199666756724552374443465454050490204925,000$
5Patrick Moynihan (R)X100.00474299656858784253383842405454050480204560,000$
6Grant HuttonX100.00734491657764695925394868254545050590262800,000$
7Ben GleasonX100.00716977636968715625524661444444050580231770,000$
TEAM AVERAGE100.0064578766695865535147515746474705055
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 SPAgeContractSalary Average
Scratches
1Rasmus Korhonen (R)100.0044405085454445494545454444050490184650,000$
2Lukas Parik (R)100.0044405078454445494545454444050480204700,000$
TEAM AVERAGE100.004440508245444549454545444405049
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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 Type Current Salary Salary Ave 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
Ben GleasonChill (Nas)D231998-03-25No185 Lbs6 ft1NoNoNo1Pro & Farm770,000$0$0$NoLink
Declan McDonnellChill (Nas)C/LW/RW192002-02-25Yes190 Lbs5 ft10YesNoNo3Pro & Farm700,000$0$0$No700,000$700,000$Link
Evan BarrattChill (Nas)C221999-02-18No188 Lbs6 ft0NoNoNo2Pro & Farm870,000$0$0$No870,000$Link
Gage GoncalvesChill (Nas)C202001-01-16Yes181 Lbs6 ft0NoNoNo4Pro & Farm820,000$0$0$No820,000$820,000$820,000$Link
Grant Hutton (1 Way Contract)Chill (Nas)D261995-07-25No205 Lbs6 ft3YesNoYes2Pro & Farm800,000$0$0$No800,000$Link
Jacob Bernard-DockerChill (Nas)D212000-06-30Yes190 Lbs6 ft0NoNoNo3Pro & Farm925,000$0$0$No925,000$925,000$Link
Jakub LaukoChill (Nas)C/LW212000-03-28Yes170 Lbs6 ft0NoNoNo3Pro & Farm764,167$0$0$No764,167$764,167$Link
James HamblinChill (Nas)C/LW221999-04-27No176 Lbs5 ft9YesNoNo2Pro & Farm1,000,000$0$0$No1,000,000$Link
Jay O'BrienChill (Nas)C211999-11-04Yes185 Lbs6 ft0NoNoNo3Pro & Farm895,000$0$0$No895,000$895,000$Link
John LudvigChill (Nas)D212000-08-02Yes205 Lbs6 ft1NoNoNo2Pro & Farm853,333$0$0$No853,333$Link
Josh LopinaChill (Nas)C202001-02-16Yes194 Lbs6 ft2NoNoNo4Pro & Farm878,333$0$0$No878,333$878,333$878,333$Link
Josh ManiscalcoChill (Nas)D221999-02-17Yes205 Lbs6 ft2NoNoNo3Pro & Farm853,333$0$0$No853,333$853,333$Link
Lauri PajuniemiChill (Nas)RW221999-09-12Yes183 Lbs6 ft0NoNoNo3Pro & Farm883,750$0$0$No883,750$883,750$Link
Lukas ParikChill (Nas)G202001-03-15Yes185 Lbs6 ft4NoNoNo4Pro & Farm700,000$0$0$No700,000$700,000$700,000$Link
Luke ToporowskiChill (Nas)LW202001-04-12Yes181 Lbs5 ft11NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Link
Patrick MoynihanChill (Nas)C202001-01-23Yes190 Lbs5 ft11NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Link
Rafael Harvey-PinardChill (Nas)C/LW221999-01-06No183 Lbs5 ft9NoNoNo1Pro & Farm825,000$0$0$NoLink
Raphael LavoieChill (Nas)C/RW212000-09-25Yes196 Lbs6 ft4NoNoNo2Pro & Farm870,000$0$0$No870,000$Link
Rasmus KorhonenChill (Nas)G182002-10-22Yes201 Lbs6 ft5NoNoNo4Pro & Farm650,000$0$0$No650,000$650,000$650,000$Link
Samuel SjolundChill (Nas)D202001-05-19Yes174 Lbs6 ft1NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Link
Scott ReedyChill (Nas)C221999-04-04No209 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$Link
Vladislav FirstovChill (Nas)LW202001-06-19Yes181 Lbs6 ft1NoNoNo4Pro & Farm925,000$0$0$No925,000$925,000$925,000$Link
Yaroslav LikhachyokChill (Nas)LW202001-09-02Yes178 Lbs5 ft10NoNoNo4Pro & Farm560,000$0$0$No560,000$560,000$560,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2321.00188 Lbs6 ft13.00783,605$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rafael Harvey-Pinard40122
2Gage GoncalvesScott ReedyLauri Pajuniemi30122
3Yaroslav LikhachyokEvan BarrattJames Hamblin20122
4Luke ToporowskiGage Goncalves10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
2John Ludvig30122
3Samuel SjolundLuke Toporowski20122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Rafael Harvey-Pinard60122
2James HamblinScott ReedyLauri Pajuniemi40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2John Ludvig40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Scott Reedy60122
2Rafael Harvey-Pinard40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2John Ludvig40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
2Scott Reedy40122John Ludvig40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Scott Reedy60122
2Rafael Harvey-Pinard40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
2John Ludvig40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Rafael Harvey-Pinard
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Rafael Harvey-Pinard
Extra Forwards
Normal PowerPlayPenalty Kill
Jakub Lauko, Josh Lopina, Evan BarrattJakub Lauko, Josh LopinaEvan Barratt
Extra Defensemen
Normal PowerPlayPenalty Kill
Samuel Sjolund, , John LudvigSamuel Sjolund, John Ludvig
Penalty Shots
, Scott Reedy, Rafael Harvey-Pinard, , James Hamblin
Goalie
#1 : , #2 :


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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
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
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
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
41 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,722,291$ 1,722,291$ 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$




Chill 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

Chill Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Chill 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

Chill 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

Chill Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA