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Wildcatter
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Andrew Lauzon | Morale : 40 | Team Overall : 62
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Team Leaders

Team Stats
Team Info

General ManagerAndrew Lauzon
DivisionDivision 5
ConferenceConference 2
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets0


Roster Info

Pro Team17
Farm Team19
Contract Limit36 / 250
Prospects34


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2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
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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 SPAgeContractSalary
1Alexander NylanderX100.00455255677173328553616350467595070690275775,000$
2Angus Crookshank (R)X100.00665255675870358551565754446095046670264855,000$
3Taylor WardX100.0080509067748030613950705043597804066N0275775,000$
4Dylan GambrellX100.00635483636160555558515780487361067660293950,000$
5Tyson JostX100.00636672736270455661616058497562040650275775,000$
6Patrick GilesX100.0064509067866941556951555744575704063N0252775,000$
7Alexander BarabanovX100.005651906360605569475855546072680676303121,000,000$
8Sammy BlaisX100.008666796374605555465651534476570406102931,525,000$
9Samuel LabergeX100.00605090637460555531505050306351040580284775,000$
10Adam BrooksX100.00495090586360555553505250416455040570293750,000$
11Mason ShawX100.00647855635860555547525050406656040570275775,000$
12Graeme ClarkeX100.00665072636260555531505050305951040570243800,000$
13Ethan BearX100.005751866363605557355557594575630406402841,375,000$
14Philip KempX100.0042509063766055553350505030615004059N0261775,000$
15Joey KeaneX100.00475055636460555530505050306346040580261842,500$
Scratches
TEAM AVERAGE100.0061557764676449614653555442676304662
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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 SPAgeContractSalary
1Cal Petersen100.0068306576705762555059507357040610311875,000$
2Kevin Mandolese100.0066306581575554555061665752040590251885,000$
Scratches
TEAM AVERAGE100.006730657964565855506058655504060
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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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
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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
# 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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary 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 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Adam BrooksWildcatter (PHO)C291996-05-06CANNo179 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm750,000$750,000$0$0$No750,000$750,000$-------750,000$750,000$-------NoNo-------
Alexander BarabanovWildcatter (PHO)RW311994-06-17CANNo195 Lbs5 ft10NoNoTrade2025-09-19NoNo2FalseFalsePro & Farm1,000,000$1,000,000$0$0$No1,000,000$--------1,000,000$--------No--------
Alexander NylanderWildcatter (PHO)LW271998-03-02CANNo205 Lbs6 ft1NoNoTrade2025-03-26NoNo52025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Angus CrookshankWildcatter (PHO)LW261999-10-02CANYes183 Lbs5 ft10NoNoAssign ManuallyNoNo42024-10-15FalseFalsePro & Farm855,000$855,000$0$0$No855,000$855,000$855,000$------855,000$855,000$855,000$------NoNoNo------
Cal PetersenWildcatter (PHO)G311994-10-19CANNo185 Lbs6 ft2NoNoTrade2025-08-17NoNo1FalseFalsePro & Farm875,000$875,000$0$0$No---------------------------
Dylan GambrellWildcatter (PHO)RW291996-08-26CANNo185 Lbs5 ft11NoNoTrade2025-09-19NoNo3FalseFalsePro & Farm950,000$950,000$0$0$No950,000$950,000$-------950,000$950,000$-------NoNo-------
Ethan BearWildcatter (PHO)D281997-06-26CANNo197 Lbs5 ft11NoNoN/ANoNo42024-08-28FalseFalsePro & Farm1,375,000$1,375,000$0$0$No1,375,000$1,375,000$1,375,000$------1,375,000$1,375,000$1,375,000$------NoNoNo------
Graeme ClarkeWildcatter (PHO)LW242001-04-24CANNo175 Lbs6 ft0NoNoProspectNoNo32025-09-03FalseFalsePro & Farm800,000$800,000$0$0$No800,000$800,000$-------800,000$800,000$-------NoNo-------
Joey KeaneWildcatter (PHO)D261999-07-02CANNo187 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm842,500$842,500$0$0$No---------------------------
Kevin MandoleseWildcatter (PHO)G252000-08-22CANNo180 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm885,000$885,000$0$0$No---------------------------
Mason ShawWildcatter (PHO)C271998-11-03CANNo184 Lbs5 ft10NoNoN/ANoNo52025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Patrick GilesWildcatter (PHO)RW252000-01-03CANNo218 Lbs6 ft5YesNoAssign ManuallyNoNo22025-10-01FalseFalsePro & Farm775,000$775,000$0$0$No775,000$--------775,000$--------No--------
Philip KempWildcatter (PHO)D261999-02-12CANNo202 Lbs6 ft3YesNoAssign ManuallyNoNo12025-10-01FalseFalsePro & Farm775,000$775,000$0$0$No---------------------------
Sammy BlaisWildcatter (PHO)LW291996-06-17CANNo206 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm1,525,000$1,525,000$0$0$No1,525,000$1,525,000$-------1,525,000$1,525,000$-------NoNo-------
Samuel LabergeWildcatter (PHO)RW281997-04-10CANNo206 Lbs6 ft2NoNoTrade2025-09-19NoNo42024-10-10FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$------775,000$775,000$775,000$------NoNoNo------
Taylor WardWildcatter (PHO)C271998-03-31CANNo207 Lbs6 ft2YesNoAssign ManuallyNoNo52025-10-01FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Tyson JostWildcatter (PHO)C271998-03-14CANNo187 Lbs5 ft11NoNoN/ANoNo52025-09-03FalseFalsePro & Farm775,000$775,000$0$0$No775,000$775,000$775,000$775,000$-----775,000$775,000$775,000$775,000$-----NoNoNoNo-----
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1727.35193 Lbs6 ft13.06898,971$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
134122
230122
3Adam Brooks26122
4Adam Brooks10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
134122
230122
326122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
151122
249122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
151122
249122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
15112251122
24912249122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
151122
249122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
151122
249122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Extra Forwards
Normal PowerPlayPenalty Kill
, , ,
Extra Defensemen
Normal PowerPlayPenalty Kill
, , ,
Penalty Shots
, , , ,
Goalie
#1 : , #2 :


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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
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%000%0000%000%000%000000

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
0000000000000
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%000%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%000%000%
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
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 Price350
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
0$ 0$ 0$ 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$




Wildcatter Players 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

Wildcatter Goalies Stat Leaders (Regular Season)

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

Wildcatter 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

Wildcatter Players 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

Wildcatter Goalies Stat Leaders (Play-Off)

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