Moose

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Sam Vienneau | Morale : 75 | Team Overall : 60

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# 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
1Brandon Biro (R)0X100.00613590666882786562646061636665075630
2Max Jones (R)0X100.00744966658781736257636456636668075630
3Antonio Stranges (R)0X100.00573595676877626672645956676163075620
4Alexander True0X100.00814178599177865765585560566668075620
5Brian Pinho0X100.00663892617585745863615960626870075620
6Jachym Kondelik (R)0X100.00894283569871665361555462526466075610
7Emilio Pettersen (R)0X100.00573885626681826163626156626465075610
8Tuukka Tieksola (R)0X100.00603689626067695862605753586264075590
9Brennan Saulnier0X100.00594750576867735664575854577072075580
10Zayde Wisdom (R)0X100.00623789567169675361555456526163075580
11Ryan McGregor (R)0XX100.00593789566875735556545753566466075580
12Cristiano Digiacinto0X100.00604170566974755359575554556769075580
13Guillaume Brisebois (R)0X100.00643786677582746330625968506668075640
14Vladislav Kolyachonok (R)0X100.00673984647682865830605961506264075620
15Cameron Gaunce0X100.00674270557670815430565455467375075590
16William Trudeau (R)0X100.00654171587473705730605556476163075590
17Nick Wolff (R)0X100.00867152539567725230545161456769075590
18Ryan Jones (R)0X100.00694174547866865330545355456769075590
19Marc Del Gaizo (R)0X100.00593882576872865630615354476466075590
Scratches
1Brett Gallant0X100.00748662537363755250535552557577075580
2Cameron Hausinger0X100.00604265536961605250535551546466075560
TEAM AVERAGE100.0066437759757375575058575754666707560
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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
1Aaron Dell100.0074686977737274737274737588075650
2J-F Berube100.0074616273747274737274737286075650
Scratches
1Tyler Parks100.0065596092646365646365647185075610
TEAM AVERAGE100.007163648170697170697170738607564
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Derek Lalonde75767972767174USA511950,000$


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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
# 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
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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


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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 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 DellG345/4/1989No213 Lbs6 ft0NoNoNo3UFAPro & Farm838,800$0$0$NoLink / NHL Link
Alexander TrueC267/17/1997No200 Lbs6 ft5NoNoNo1RFAPro & Farm800,000$0$0$NoLink / NHL Link
Antonio StrangesC212/5/2002Yes168 Lbs5 ft11NoNoNo3ELCPro & Farm950,000$0$0$NoLink / NHL Link
Brandon BiroLW253/11/1998Yes170 Lbs5 ft11NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Brennan SaulnierLW3012/29/1993No170 Lbs6 ft0NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Brett GallantLW3512/28/1988No191 Lbs6 ft0NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Brian PinhoC285/11/1995No190 Lbs6 ft1NoNoNo1UFAPro & Farm925,000$0$0$NoLink / NHL Link
Cameron GaunceD333/19/1990No194 Lbs6 ft1NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Cameron HausingerRW241/12/1999No192 Lbs5 ft10NoNoNo1RFAPro & Farm550,000$0$0$NoLink / NHL Link
Cristiano DigiacintoLW271/10/1996No183 Lbs5 ft11NoNoNo1RFAPro & Farm550,000$0$0$NoLink / NHL Link
Emilio PettersenLW234/3/2000Yes170 Lbs5 ft11NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
Guillaume BriseboisD267/21/1997Yes175 Lbs6 ft2NoNoNo1RFAPro & Farm954,000$0$0$NoLink / NHL Link
J-F BerubeG327/13/1991No177 Lbs6 ft1NoNoNo2UFAPro & Farm850,000$0$0$NoLink / NHL Link
Jachym KondelikC2412/21/1999Yes226 Lbs6 ft6NoNoNo3RFAPro & Farm950,000$0$0$NoNHL Link
Marc Del GaizoD2410/11/1999Yes188 Lbs5 ft10NoNoNo2RFAPro & Farm950,000$0$0$NoLink / NHL Link
Max JonesLW252/17/1998Yes216 Lbs6 ft3NoNoNo3RFAPro & Farm950,000$0$0$NoLink / NHL Link
Nick WolffD277/21/1996Yes229 Lbs6 ft5NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Ryan JonesD275/26/1996Yes186 Lbs6 ft2NoNoNo1RFAPro & Farm750,000$0$0$NoLink / NHL Link
Ryan McGregorC/LW241/29/1999Yes168 Lbs6 ft0NoNoNo1RFAPro & Farm925,000$0$0$NoLink / NHL Link
Tuukka TieksolaRW226/22/2001Yes146 Lbs5 ft10NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Tyler ParksG315/9/1992No198 Lbs6 ft6NoNoNo1UFAPro & Farm550,000$0$0$NoLink / NHL Link
Vladislav KolyachonokD225/26/2001Yes193 Lbs6 ft1NoNoNo1ELCPro & Farm925,000$0$0$NoLink / NHL Link
William TrudeauD2110/11/2002Yes197 Lbs6 ft0NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Zayde WisdomC217/7/2002Yes195 Lbs5 ft11NoNoNo3ELCPro & Farm950,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2426.33189 Lbs6 ft11.67813,242$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon BiroTuukka Tieksola40122
2Max JonesAlexander TrueJachym Kondelik30122
3Brennan SaulnierBrian PinhoCristiano Digiacinto20122
4Max JonesRyan McGregorTuukka Tieksola10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav Kolyachonok40122
2William TrudeauNick Wolff30122
3Ryan JonesMarc Del Gaizo20122
4Vladislav KolyachonokMarc Del Gaizo10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon BiroBrian PinhoTuukka Tieksola60122
2Max JonesAlexander TrueRyan McGregor40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav Kolyachonok60122
2William TrudeauNick Wolff40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Tuukka TieksolaBrian Pinho60122
2Alexander TrueMax Jones40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav KolyachonokMarc Del Gaizo60122
2William TrudeauNick Wolff40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Max Jones60122Vladislav KolyachonokMarc Del Gaizo60122
2Alexander True40122William TrudeauNick Wolff40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Tuukka TieksolaBrian Pinho60122
2Alexander TrueMax Jones40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Vladislav Kolyachonok60122
2William TrudeauNick Wolff40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brandon BiroMax JonesTuukka TieksolaVladislav Kolyachonok
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon BiroMax JonesTuukka TieksolaVladislav Kolyachonok
Extra Forwards
Normal PowerPlayPenalty Kill
Brian Pinho, Tuukka Tieksola, Ryan McGregorBrian Pinho, Tuukka TieksolaBrian Pinho
Extra Defensemen
Normal PowerPlayPenalty Kill
Nick Wolff, Vladislav Kolyachonok, Marc Del GaizoNick WolffNick Wolff, Vladislav Kolyachonok
Penalty Shots
Tuukka Tieksola, Max Jones, Brandon Biro, Alexander True, Brian Pinho
Goalie
#1 : J-F Berube, #2 : Aaron Dell
Custom OT Lines Forwards
Brandon Biro, Max Jones, , Alexander True, Brian Pinho, Tuukka Tieksola, Tuukka Tieksola, Ryan McGregor, Brennan Saulnier, Jachym Kondelik, Cristiano Digiacinto
Custom OT Lines Defensemen
Vladislav Kolyachonok, , William Trudeau, Nick Wolff, Marc Del Gaizo


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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
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$ 1,951,780$ 1,711,780$ 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
2382313305652284293-941161501342146142441151804310138151-139028448576932881068014285592192896861319290756421102365322.46%2645280.30%11472292750.29%1559324348.07%695136350.99%1915133020255891037511
202282462707200341283584122150310018314934412412041001581342410834161695722142102907319610211034112516279784251518512455823.67%1874774.87%11707309755.12%1555287854.03%794143655.29%2023143618755691033521
202382274403431297322-2541181801130165146194192602301132176-44712975418386112180907278293291291238298493464519262576324.51%2586076.74%11483289851.17%1534306350.08%718141950.60%1905131319965981046512
Total Regular Season246104104015128392289824123564805572494437571234856010711428461-3326992216422564115351288260288833287428743005115897326831724588773817423.58%70915977.57%34662892252.25%4648918450.61%2207421852.32%584440805897175731171545
Playoff
2022147700000505007430000029254734000002125-4145083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091
Total Playoff147700000505007430000029254734000002125-4145083133011712192507152141186285441639931337718.92%391074.36%025351349.32%30258052.07%11523848.32%34824336210819091