Wild

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Charles Levesque / Hugo Lussier-Fortin | Morale : 75 | Team Overall : 63

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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
# 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
1Cole Caufield (R)X100.00533594776380717655677362786165075670
2Yakov TreninXXX100.00864285678277846975666863716764075670
3Nico SturmXX100.00723988638580776276656474637266075660
4Joel L'EsperanceX100.00653592628378826364606562657167075640
5Rodrigo AbolsX100.00793386618879736267645863596965075640
6Glenn GawdinXX100.00733595627671756474655962646764075630
7Kole LindX100.00623595647376736563626261646563075630
8David KaseXX100.00553595626672736361616160646765075620
9Justin Almeida (R)X100.00563593556571745556555753566362075580
10Lukas CraggsX100.00635176547260655455545654556965075580
11Brendan GuhleX100.00623786707987826530686664536764075660
12Ville HeinolaX100.00543985727085786930736157566265075650
13Alexandre CarrierX100.00733986656881766430655970526966075640
14Cale FleuryX100.00893592638085816230615664536568075640
15Otto LeskinenX100.00803595637078776130625758496764075630
Scratches
1Sam CarrickXX100.00837467647577766279676665637775075660
2Logan ShawX100.00623595628565716379626261637775075640
3Seth GriffithXXX100.00583788636787926467626158647571075630
4Riley Damiani (R)X100.00574283676882876678686259646163075630
5Jeremy BraccoX100.00563593636976826276675458616764075620
6Terry BroadhurstX100.00563887606568715863575256548273075600
7Seamus MaloneX100.00583986566779725462515552566965075580
8Zach RedmondX100.00744286618388935930635463478273075640
9Louie BelpedioX100.00813595617180756030595665496968075630
10Thomas SchemitschX100.00773573608681846130625463476965075620
11Seth HelgesonX100.00746856549079845330555261457977075600
12Connor HobbsX100.00685176547768655230515356456764075570
TEAM AVERAGE100.0068408662757778625462596158696707563
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
1Matiss Kivlenieks100.0074827877737274737274736973075650
2Jake Kielly100.0070807981696870696870697074075630
Scratches
1Mat Robson100.0070797881696870696870696973075630
2Martin Ouellette100.0062757970616062616062617884075590
TEAM AVERAGE100.006979797768676968676968727607563
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jeff Halpern65767261666281USA442700,000$


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
Alexandre CarrierD241996-10-08No174 Lbs5 ft11NoNoNo1RFAPro & Farm861,000$0$0$NoLink / NHL Link
Brendan GuhleD231997-07-29No197 Lbs6 ft2NoNoNo3ELCPro & Farm1,201,000$0$0$NoLink / NHL Link
Cale FleuryD221998-11-19No213 Lbs6 ft1NoNoNo1ELCPro & Farm917,000$0$0$NoLink / NHL Link
Cole CaufieldRW192001-01-02Yes162 Lbs5 ft7NoNoNo1ELCPro & Farm550,000$0$0$No
Connor HobbsD231997-01-04No197 Lbs6 ft1NoNoNo1ELCPro & Farm849,000$0$0$NoLink / NHL Link
David KaseLW/RW231997-01-28No169 Lbs5 ft11NoNoNo3ELCPro & Farm1,050,000$0$0$NoLink / NHL Link
Glenn GawdinC/RW231997-03-25No191 Lbs6 ft1NoNoNo3ELCPro & Farm964,700$0$0$NoLink / NHL Link
Jake KiellyG241996-09-10No201 Lbs6 ft2NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Jeremy BraccoRW231997-03-17No181 Lbs5 ft11NoNoNo1ELCPro & Farm750,000$0$0$NoLink / NHL Link
Joel L'EsperanceC251995-08-18No215 Lbs6 ft2NoNoYes2RFAPro & Farm700,000$0$0$NoLink / NHL Link
Justin AlmeidaLW211999-02-06Yes165 Lbs5 ft11NoNoNo1ELCPro & Farm550,000$0$0$No
Kole LindRW221998-10-16No178 Lbs6 ft1NoNoNo1ELCPro & Farm700,000$0$0$NoLink / NHL Link
Logan ShawRW281992-10-05No208 Lbs6 ft3YesNoYes0UFAPro & Farm0$0$NoLink / NHL Link
Louie BelpedioD241996-05-14No191 Lbs5 ft11NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Lukas CraggsLW241996-05-16No190 Lbs6 ft0NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Martin OuelletteG291991-12-30No160 Lbs6 ft1NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Mat RobsonG241996-03-26No190 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Matiss KivlenieksG241996-08-26No183 Lbs6 ft2NoNoNo2RFAPro & Farm700,000$0$0$NoLink / NHL Link
Nico SturmC/LW251995-05-03No207 Lbs6 ft3NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Otto LeskinenD231997-02-06No187 Lbs5 ft11NoNoNo2ELCPro & Farm925,000$0$0$NoLink / NHL Link
Riley DamianiC202000-03-20Yes170 Lbs5 ft11NoNoNo1ELCPro & Farm550,000$0$0$No
Rodrigo AbolsC241996-01-05No206 Lbs6 ft4NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Sam CarrickC/RW281992-02-04No205 Lbs6 ft0YesNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Seamus MaloneC241996-05-06No181 Lbs5 ft10NoNoNo2RFAPro & Farm925,000$0$0$NoLink / NHL Link
Seth GriffithC/LW/RW271993-01-04No190 Lbs5 ft9NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Seth HelgesonD301990-10-08No219 Lbs6 ft4NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Terry BroadhurstLW321988-11-30No162 Lbs5 ft11NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Thomas SchemitschD241996-10-26No200 Lbs6 ft4NoNoNo0RFAPro & Farm0$0$NoLink / NHL Link
Ville HeinolaD192001-03-02No178 Lbs5 ft11NoNoNo2ELCPro & Farm925,000$0$0$NoLink / NHL Link
Yakov TreninC/LW/RW231997-01-13No201 Lbs6 ft2NoNoNo3ELCPro & Farm1,492,000$0$0$NoLink / NHL Link
Zach RedmondD321988-07-26No212 Lbs6 ft2NoNoNo0UFAPro & Farm0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3124.39190 Lbs6 ft11.32638,216$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
136122
2Joel L'Esperance32122
3Rodrigo Abols22122
4Lukas CraggsNico SturmKole Lind10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cale Fleury38122
237122
3Alexandre CarrierVille Heinola25122
4Cale Fleury0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
150122
2Joel L'Esperance50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Cale Fleury50122
250122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
150122
2Rodrigo Abols50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Cale Fleury50122
250122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
150122Cale Fleury50122
25012250122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
150122
2Joel L'Esperance50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Cale Fleury50122
250122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Cale Fleury
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Cale Fleury
Extra Forwards
Normal PowerPlayPenalty Kill
, Joel L'Esperance, Nico Sturm, Joel L'Esperance
Extra Defensemen
Normal PowerPlayPenalty Kill
, Alexandre Carrier, Ville Heinola, Alexandre Carrier
Penalty Shots
, , , ,
Goalie
#1 : Matiss Kivlenieks, #2 : Jake Kielly
Custom OT Lines Forwards
, , , , , Joel L'Esperance, Joel L'Esperance, Nico Sturm, Rodrigo Abols, , Kole Lind
Custom OT Lines Defensemen
, Cale Fleury, , , Alexandre Carrier


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 Price2515
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$ 2,033,470$ 2,033,470$ 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$




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