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Phantoms
GP: 0 | W: 0 | L: 0
GF: 0 | GA: 0 | PP%: 0% | PK%: 0%
GM : Simon DeChamplain | Morale : 1 | Team Overall : 63
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Team Leaders

Team Stats
Team Info

General ManagerSimon DeChamplain
CoachKevin Dineen
DivisionFritz-Kraatz
ConferenceRobert-Lebel
CaptainDave Bolland
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance
Season Tickets300


Roster Info

Pro Team30
Farm Team19
Contract Limit49 / 250
Prospects0


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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
1Joe Snively (R)X100.006833828666776777737373538347486065700221500,000$
2Cristoval Nieves (R)X100.007226787768737775758069577250523972700242900,000$
3Lucas Wallmarkk (R)X100.007438757168757076747870686847454876700222800,000$
4Morgan Klimchuk (R)X100.007032747472777571667473737852464176700231650,000$
5David Kampf (R)X100.006143846572726974687076596846494676680233750,000$
6Erik NystromX100.007323776776737272656174677652503263680251800,000$
7Rem Pitlick (R)X100.006429718268766582736865627645466072680212900,000$
8Nick Sorensen (R)X100.006233797373706967655974557549514176660241525,000$
9Laurent Dauphin (R)X100.007442806470657171637466526845453835650231500,000$
10Anthony Angello (R)X100.005139816665756757676664595644444035620221450,000$
11A.J. Greer (R)X100.006243646968647362626263565547464169610223300,000$
12Brett Murray (R)X100.007741647078556661465764554442425764600204500,000$
13Oliver Wahlstrom (R)X100.005937754673696564666271416540408469600182500,000$
14Cooper Marody (R)X100.004537716453606263747459415046444331590223300,000$
15Josiah Slavin (R)X100.005837735263715962686170385145455753590202500,000$
16Benoit-Olivier Groulx (R)X100.005942745765566258625860525740406531570182500,000$
17Fabian Zetterlund (R)X100.004736715665655855564869436141416135560191500,000$
18David Gustafsson (R)X100.005234705947535655716553415040407125540182500,000$
19Blake Heinrich (R)X100.007335737476776562527571785861474064710231500,000$
20Rinat Valiev (R)X100.007334817469696574576762726453484755690231500,000$
21Mikko Lehtonen (R)X100.007141776454687274536971616250524158660242750,000$
22Matt Kiersted (R)X100.006646656667585758465847625343435446600204500,000$
23Riley Stillman (R)X100.006842636262576353375953584642425676590204500,000$
24Ty Smith (R)X100.004826676553496073327148544440407576560182500,000$
25Victor Berglund (R)X100.006229675962544945315431683041416348560191500,000$
Scratches
TEAM AVERAGE100.00643673666666656660666457604645525863
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
1Anton Forsberg100.00757574777079767373767573733477740261975,000$
2Zachary Fucale100.00697862697175747679756150484265720231500,000$
Scratches
1Kevin Lankinen100.00686766686671627167645642426019650233900,000$
2Zachary Sawchenko100.00635469555265674747737545475420580211500,000$
3Jacob Ingham (R)100.00694357606950425657505940406120550182500,000$
TEAM AVERAGE100.0069636666666864656568655050504065
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can503500,000$


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 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 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
A.J. GreerPhantoms (Phi)LW221996-01-01Yes210 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm300,000$0$0$No350,000$400,000$-------NoNo-------
Anthony AngelloPhantoms (Phi)C221996-01-01Yes210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm450,000$0$0$No------------------
Anton ForsbergPhantoms (Phi)G261992-01-01No191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm975,000$0$0$No------------------
Benoit-Olivier GroulxPhantoms (Phi)C182000-01-01Yes200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Blake HeinrichPhantoms (Phi)D231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Brett MurrayPhantoms (Phi)LW201998-01-01Yes216 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Cooper MarodyPhantoms (Phi)C221996-01-01Yes184 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm300,000$0$0$No350,000$400,000$-------NoNo-------
Cristoval NievesPhantoms (Phi)C241994-01-01Yes192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
David GustafssonPhantoms (Phi)LW182000-01-01Yes196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
David KampfPhantoms (Phi)C231995-01-01Yes188 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$0$0$No800,000$900,000$-------NoNo-------
Erik NystromPhantoms (Phi)LW251993-01-01No176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$0$0$No------------------
Fabian ZetterlundPhantoms (Phi)LW191999-01-01Yes220 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Jacob InghamPhantoms (Phi)G182000-01-01Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Joe SnivelyPhantoms (Phi)C221996-01-01Yes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Josiah SlavinPhantoms (Phi)LW201998-01-01Yes189 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Kevin LankinenPhantoms (Phi)G231995-01-01No185 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$0$0$No900,000$900,000$-------NoNo-------
Laurent DauphinPhantoms (Phi)C231995-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Lucas WallmarkkPhantoms (Phi)C221996-01-01Yes178 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No900,000$--------No--------
Matt KierstedPhantoms (Phi)D201998-01-01Yes184 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Mikko LehtonenPhantoms (Phi)D241994-01-01Yes196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$0$0$No750,000$--------No--------
Morgan KlimchukPhantoms (Phi)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$0$0$No------------------
Nick SorensenPhantoms (Phi)RW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm525,000$0$0$No------------------
Oliver WahlstromPhantoms (Phi)RW182000-01-01Yes204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Rem PitlickPhantoms (Phi)RW211997-01-01Yes196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------No--------
Riley StillmanPhantoms (Phi)D201998-01-01Yes196 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------NoNoNo------
Rinat ValievPhantoms (Phi)D231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Ty SmithPhantoms (Phi)D182000-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$0$0$No500,000$--------No--------Link
Victor BerglundPhantoms (Phi)D191999-01-01Yes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Zachary FucalePhantoms (Phi)G231995-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Zachary SawchenkoPhantoms (Phi)G211997-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3021.47192 Lbs6 ft11.90583,333$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJoe Snively40122
2Erik NystromCristoval NievesRem Pitlick30122
3A.J. GreerLucas WallmarkkNick Sorensen20122
4Brett MurrayDavid KampfOliver Wahlstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev40122
2Mikko LehtonenRiley Stillman30122
3Ty SmithVictor Berglund20122
4Blake HeinrichRinat Valiev10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJoe Snively60122
2Erik NystromCristoval NievesRem Pitlick40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Morgan Klimchuk60122
2Joe SnivelyCristoval Nieves40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Blake HeinrichRinat Valiev60122
2Morgan Klimchuk40122Mikko LehtonenRiley Stillman40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Morgan Klimchuk60122
2Joe SnivelyCristoval Nieves40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJoe SnivelyBlake HeinrichRinat Valiev
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJoe SnivelyBlake HeinrichRinat Valiev
Extra Forwards
Normal PowerPlayPenalty Kill
Lucas Wallmarkk, David Kampf, Nick SorensenLucas Wallmarkk, David KampfNick Sorensen
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Smith, Victor Berglund, Mikko LehtonenTy SmithVictor Berglund, Mikko Lehtonen
Penalty Shots
, Morgan Klimchuk, Joe Snively, Cristoval Nieves, Lucas Wallmarkk
Goalie
#1 : Anton Forsberg, #2 : Zachary Fucale
Custom OT Lines Forwards
, Morgan Klimchuk, Joe Snively, Cristoval Nieves, Lucas Wallmarkk, Erik Nystrom, Erik Nystrom, Rem Pitlick, David Kampf, Nick Sorensen, A.J. Greer
Custom OT Lines Defensemen
Blake Heinrich, Rinat Valiev, Mikko Lehtonen, Riley Stillman, Ty Smith


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
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
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%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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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 Price7040
Attendance0%0%
Attendance PCT0%0%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,750,000$ 1,632,500$ 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$




Phantoms 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

Phantoms Goalies Stat Leaders (Regular Season)

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

Phantoms 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

Phantoms 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

Phantoms Goalies Stat Leaders (Play-Off)

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