Phantoms
GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Simon DeChamplain | Morale : 40 | Team Overall : 65
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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 SPAgeContractSalary
1Calle Jarnkrok (R)X100.006631757475797771817677667263573840720251995,000$
2Michael Bournival (R)X100.007739787778737474687078717765534140720241950,000$
3Tomas KubalikX100.007032817776817777726975677062523640720262950,000$
4Travis Konecny (R)X100.006231748363766786686971628145446940700191500,000$
5Sven Andrighetto (R)X100.007734796578747068716478577148484840680233700,000$
6Alex DeBrincat (R)X100.007454847574667465717271577543417940680192500,000$
7Nick Shore (R)X100.005426746969726773827573535852553940670242800,000$
8Cristoval Nieves (R)X100.006626757464677270747668526745464640660222600,000$
9Morgan Klimchuk (R)X100.006432727268737367666966687345434940660213650,000$
10Erik Nystrom (R)X100.006823747074686769676170647348473840650232600,000$
11Lucas Wallmarkk (R)X100.007038716462716172717364636243435840650204600,000$
12Dylan Olsen (R)X100.007934767177807671557672766467493540730251600,000$
13Jake Dotchin (R)X100.007940787475736167537453755859464640710223800,000$
14Reid McNeill (R)X100.007547787480678173596758706662483940710241650,000$
15Ivan Provorov (R)X100.007147797373726567477165715549427640690191500,000$
16Mark Alt (R)X100.007032736868676855516758805354543140670251400,000$
17Blake Heinrich (R)X100.006734686870715955457066755146444840660213500,000$
18Brenden Kichton (R)X100.006530766866686666536060716154553540650241400,000$
19Devon Teows (R)X100.007248726764646068496252695147485140650224600,000$
20Rinat Valiev (R)X100.007134786865666471506257655945445640650213500,000$
21Mikko Lehtonen (R)X100.007041745750657175466975546148484940640222500,000$
Scratches
1David Kampf (R)X100.005742816268686669656571546543465840640211500,000$
2Brendan Leipsic (R)X100.005233686364636064757170526145464440620222500,000$
3Laurent Dauphin (R)X100.007037775967616768576861486543435040610213500,000$
4Nick Sorensen (R)X100.005633757166656662595272527146464940610223525,000$
5JC Lipon (R)X100.007256666569496762645460495448474240590232450,000$
6Anthony Angello (R)X100.004836786062736453646259565042425140580203450,000$
7A.J. Greer (R)X100.005942596566597056575559494944435040570201500,000$
8Brett Murray (R)X100.007436616474536254435360524040407340560182500,000$
9Cooper Marody (R)X100.004234685950585858707154364644425540550201500,000$
10Matt Kiersted (R)X100.006345615762535151395340554640406740550182500,000$
11Riley Stillman (R)X100.006539615660545950325550534440407040550182500,000$
TEAM AVERAGE100.00663773686867676660666461614946514065
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PriorityTypeDescription
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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
1Anton Forsberg100.00737271787378747072747261554040720
Scratches
1Zachary Fucale100.00657555636771707276715644445040680
2Jason Kasdorf100.00666578636370686864696652524140660
TEAM AVERAGE100.0068716868687371707171655250444069
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can484500,000$


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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
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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
# 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


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 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
A.J. GreerPhantoms (Phi)LW201996-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Alex DeBrincatPhantoms (Phi)LW191997-01-01Yes165 Lbs5 ft7NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Anthony AngelloPhantoms (Phi)C201996-01-01Yes210 Lbs6 ft5NoNoNo3Pro & Farm450,000$450,000$0$0$No450,000$450,000$
Anton ForsbergPhantoms (Phi)G241992-01-01No191 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Blake HeinrichPhantoms (Phi)D211995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$
Brendan LeipsicPhantoms (Phi)LW221994-01-01Yes165 Lbs5 ft8NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Brenden KichtonPhantoms (Phi)D241992-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm400,000$400,000$0$0$No
Brett MurrayPhantoms (Phi)LW181998-01-01Yes216 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Calle JarnkrokPhantoms (Phi)C251991-01-01Yes156 Lbs5 ft11NoNoNo1Pro & Farm995,000$995,000$0$0$No
Cooper MarodyPhantoms (Phi)C201996-01-01Yes184 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$No
Cristoval NievesPhantoms (Phi)C221994-01-01Yes192 Lbs6 ft2NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$
David KampfPhantoms (Phi)C211995-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm500,000$500,000$0$0$No
Devon TeowsPhantoms (Phi)D221994-01-01Yes191 Lbs5 ft11NoNoNo4Pro & Farm600,000$600,000$0$0$No700,000$800,000$900,000$
Dylan OlsenPhantoms (Phi)D251991-01-01Yes223 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$0$0$No
Erik NystromPhantoms (Phi)LW231993-01-01Yes176 Lbs5 ft11NoNoNo2Pro & Farm600,000$600,000$0$0$No600,000$
Ivan ProvorovPhantoms (Phi)D191997-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$No
JC LiponPhantoms (Phi)RW231993-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm450,000$450,000$0$0$No450,000$
Jake DotchinPhantoms (Phi)D221994-01-01Yes207 Lbs6 ft2NoNoNo3Pro & Farm800,000$800,000$0$0$No800,000$800,000$
Jason KasdorfPhantoms (Phi)G241992-01-01No172 Lbs6 ft3NoNoNo1Pro & Farm500,000$500,000$0$0$No
Laurent DauphinPhantoms (Phi)C211995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$
Lucas WallmarkkPhantoms (Phi)C201996-01-01Yes178 Lbs6 ft0NoNoNo4Pro & Farm600,000$600,000$0$0$No700,000$800,000$900,000$
Mark AltPhantoms (Phi)D251991-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm400,000$400,000$0$0$No
Matt KierstedPhantoms (Phi)D181998-01-01Yes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Michael BournivalPhantoms (Phi)LW241992-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm950,000$950,000$0$0$No
Mikko LehtonenPhantoms (Phi)D221994-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Morgan KlimchukPhantoms (Phi)LW211995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm650,000$650,000$0$0$No650,000$650,000$
Nick ShorePhantoms (Phi)C241992-01-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm800,000$800,000$0$0$No850,000$
Nick SorensenPhantoms (Phi)RW221994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm525,000$525,000$0$0$No525,000$525,000$
Reid McNeillPhantoms (Phi)D241992-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm650,000$650,000$0$0$No
Riley StillmanPhantoms (Phi)D181998-01-01Yes196 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$
Rinat ValievPhantoms (Phi)D211995-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$
Sven AndrighettoPhantoms (Phi)RW231993-01-01Yes185 Lbs5 ft10NoNoNo3Pro & Farm700,000$700,000$0$0$No700,000$700,000$
Tomas KubalikPhantoms (Phi)RW261990-01-01No212 Lbs6 ft2NoNoNo2Pro & Farm950,000$950,000$0$0$No1,000,000$
Travis KonecnyPhantoms (Phi)RW191997-01-01Yes175 Lbs5 ft10NoNoNo1Pro & Farm500,000$500,000$0$0$No
Zachary FucalePhantoms (Phi)G211995-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm500,000$500,000$0$0$No500,000$500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3521.80190 Lbs6 ft02.00577,714$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
230122
320122
410122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
140122
230122
320122
410122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
240122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
240122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
16012260122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
240122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
160122
240122
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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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
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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
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
0 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 2,022,000$ 1,685,000$ 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$ 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