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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 : 66
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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 Team38
Farm Team18
Contract Limit56 / 250
Prospects0


Filter Tips
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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
1Alex DeBrincat (R)X100.007754867877707769747475617851447140710191500,000$
2Sven Andrighetto (R)X100.007934816980747169746679607357514440700232700,000$
3Cristoval Nieves (R)X100.006926777667707573767969557048504240680221600,000$
4Lucas Wallmarkk (R)X100.007238736865736474727667666544445340680203700,000$
5Morgan Klimchuk (R)X100.006732727271757569667270707647444540680212650,000$
6Brendan Leipsic (R)X100.005033706666656265747172556347494040640221500,000$
7Nick Sorensen (R)X100.005933787469666965635672527348494540640222525,000$
8Laurent Dauphin (R)X100.007340796169637070607163506744444340630212500,000$
9JC Lipon (R)X100.007156696966516867685762525749503840620231450,000$
10Anthony Angello (R)X100.004938806363746555656561575343434540600202450,000$
11Jake Dotchin (R)X100.007940797677756471567557776070494240730222800,000$
12Blake Heinrich (R)X100.007034717273746258497268795454464440690212500,000$
13Devon Teows (R)X100.007347747066646270526455725449504640670223700,000$
14Rinat Valiev (R)X100.007334807267686273546560696248465140670212500,000$
15Mikko Lehtonen (R)X100.006941766152667074506871586149504540650221500,000$
Scratches
1Calle JarnkrokX100.0068317376738179738278786974736834407402500$
2Michael BournivalX100.0079397976777574757168797176746037407302400$
3Travis Konecny (R)X100.0067317785677772897172756583575763407301900$
4Nick ShoreX100.005827737172757075837475555958593540690241850,000$
5Joe Snively (R)X100.006333818758725775717171508343466740680212500,000$
6Erik Nystrom (R)X100.007023756973706771656372677550483540670231600,000$
7David Kampf (R)X100.0059438366717169726667745666444750406602100$
8A.J. Greer (R)X100.0060436167696272585959625252454444405902000$
9Brett Murray (R)X100.007639626776546558445563544241416440580181500,000$
10Cooper Marody (R)X100.0043357062515961607272563847454349405602000$
11Fabian Zetterlund (R)X100.004535685362645654554568415840406940540182500,000$
12Ivan Provorov (R)X100.0074478176767468725276697460614468407201900$
13Reid McNeillX100.0076477973786582755968577268715136407102400$
14Mark AltX100.0071327466696869585367598154605728406802500$
15Brenden KichtonX100.0067307871687068655659607363575832406702400$
16Cal Foote (R)X100.008047646480845357336452695043418240660192500,000$
17Matt Kiersted (R)X100.006446636165555455415543574941415940570181500,000$
18Riley Stillman (R)X100.006741625961566152355751554541416240570181500,000$
19Victor Berglund (R)X100.006126655761514743285230662840407140550182500,000$
TEAM AVERAGE100.00673874696968666660666562625148494066
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
1Zachary Fucale100.00667759687074737578745948464640710212500,000$
Scratches
1Anton Forsberg100.007574737772797672727674697137407402400$
2Jason Kasdorf100.006767786564706870676966535337406702400$
3Zachary Sawchenko (R)100.00605368515062664645717344466040560202500,000$
TEAM AVERAGE100.0067687065647171666673685454454067
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can494500,000$


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 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 ft3NoNoNo0Pro & Farm0$0$NoLink
Alex DeBrincatPhantoms (Phi)LW191997-01-01Yes165 Lbs5 ft7NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Anthony AngelloPhantoms (Phi)C201996-01-01Yes210 Lbs6 ft5NoNoNo2Pro & Farm450,000$450,000$0$0$No450,000$Link
Anton ForsbergPhantoms (Phi)G241992-01-01No191 Lbs6 ft3NoNoNo0Pro & Farm0$0$No
Blake HeinrichPhantoms (Phi)D211995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Brendan LeipsicPhantoms (Phi)LW221994-01-01Yes165 Lbs5 ft8NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Brenden KichtonPhantoms (Phi)D241992-01-01No185 Lbs5 ft10NoNoNo0Pro & Farm0$0$No
Brett MurrayPhantoms (Phi)LW181998-01-01Yes216 Lbs6 ft4NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Cal FootePhantoms (Phi)D191997-01-01Yes227 Lbs6 ft4NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Calle JarnkrokPhantoms (Phi)C251991-01-01No156 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Cooper MarodyPhantoms (Phi)C201996-01-01Yes184 Lbs6 ft0NoNoNo0Pro & Farm0$0$NoLink
Cristoval NievesPhantoms (Phi)C221994-01-01Yes192 Lbs6 ft2NoNoNo1Pro & Farm600,000$600,000$0$0$NoLink
David KampfPhantoms (Phi)C211995-01-01Yes188 Lbs6 ft2NoNoNo0Pro & Farm0$0$NoLink
Devon TeowsPhantoms (Phi)D221994-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm700,000$700,000$0$0$No800,000$900,000$Link
Erik NystromPhantoms (Phi)LW231993-01-01Yes176 Lbs5 ft11NoNoNo1Pro & Farm600,000$600,000$0$0$NoLink
Fabian ZetterlundPhantoms (Phi)LW181998-01-01Yes220 Lbs5 ft11NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Ivan ProvorovPhantoms (Phi)D191997-01-01Yes201 Lbs6 ft1NoNoNo0Pro & Farm0$0$NoLink
JC LiponPhantoms (Phi)RW231993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm450,000$450,000$0$0$NoLink
Jake DotchinPhantoms (Phi)D221994-01-01Yes207 Lbs6 ft2NoNoNo2Pro & Farm800,000$800,000$0$0$No800,000$Link
Jason KasdorfPhantoms (Phi)G241992-01-01No172 Lbs6 ft3NoNoNo0Pro & Farm0$0$No
Joe SnivelyPhantoms (Phi)C211995-01-01Yes176 Lbs5 ft9NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Laurent DauphinPhantoms (Phi)C211995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Lucas WallmarkkPhantoms (Phi)C201996-01-01Yes178 Lbs6 ft0NoNoNo3Pro & Farm700,000$700,000$0$0$No800,000$900,000$
Mark AltPhantoms (Phi)D251991-01-01No201 Lbs6 ft1NoNoNo0Pro & Farm0$0$No
Matt KierstedPhantoms (Phi)D181998-01-01Yes184 Lbs5 ft11NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Michael BournivalPhantoms (Phi)LW241992-01-01No195 Lbs5 ft11NoNoNo0Pro & Farm0$0$No
Mikko LehtonenPhantoms (Phi)D221994-01-01Yes196 Lbs6 ft0NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Morgan KlimchukPhantoms (Phi)LW211995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm650,000$650,000$0$0$No650,000$Link
Nick ShorePhantoms (Phi)C241992-01-01No194 Lbs6 ft1NoNoNo1Pro & Farm850,000$850,000$0$0$No
Nick SorensenPhantoms (Phi)RW221994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm525,000$525,000$0$0$No525,000$Link
Reid McNeillPhantoms (Phi)D241992-01-01No210 Lbs6 ft3NoNoNo0Pro & Farm0$0$No
Riley StillmanPhantoms (Phi)D181998-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$500,000$0$0$NoLink
Rinat ValievPhantoms (Phi)D211995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Sven AndrighettoPhantoms (Phi)RW231993-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm700,000$700,000$0$0$No700,000$Link
Travis KonecnyPhantoms (Phi)RW191997-01-01Yes175 Lbs5 ft10NoNoNo0Pro & Farm0$0$NoLink
Victor BerglundPhantoms (Phi)D181998-01-01Yes183 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Zachary FucalePhantoms (Phi)G211995-01-01No185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Zachary SawchenkoPhantoms (Phi)G201996-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$500,000$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3821.26190 Lbs6 ft01.16382,237$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
140122
2Alex DeBrincatCristoval NievesSven Andrighetto30122
3Morgan KlimchukLucas WallmarkkNick Sorensen20122
4Brendan LeipsicJC Lipon10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Dotchin40122
230122
3Blake Heinrich20122
4Rinat ValievDevon Teows10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
160122
2Alex DeBrincatCristoval NievesSven Andrighetto40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Dotchin60122
240122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
160122
2Sven Andrighetto40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Dotchin60122
240122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
160122Jake Dotchin60122
24012240122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
160122
2Sven Andrighetto40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake Dotchin60122
240122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jake Dotchin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jake Dotchin
Extra Forwards
Normal PowerPlayPenalty Kill
Laurent Dauphin, Anthony Angello, Morgan KlimchukLaurent Dauphin, Anthony AngelloMorgan Klimchuk
Extra Defensemen
Normal PowerPlayPenalty Kill
Mikko Lehtonen, Blake Heinrich, Mikko LehtonenBlake Heinrich,
Penalty Shots
, , , Sven Andrighetto, Alex DeBrincat
Goalie
#1 : , #2 : Zachary Fucale


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
Total00000000000000000000000000000000000.000000000000000000000000.00%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
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3520
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
40 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 1,452,500$ 1,235,000$ 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$




Phantoms 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 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