PhantomsLehigh Valley Phantoms
28-16-11, 67pts · 6th in Conference 1
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Phil Di Giuseppe0LW97.0071577074768281704665646870807015069302,400,000$/3yrs
Andreas Johnsson0LW/RW97.0064436769667170674567606566625315064293,500,000$/3yrs
Riley Barber0RW97.0055446569636968684464655767595015062302,500,000$/3yrs
Alex Chiasson0RW99.0054416661737268614156595560867315061333,300,000$/1yrs
Peter Abbandonato0C97.0059407266636665625862556061535015060261,000,000$/2yrs
Cole Koepke0LW/RW97.006244716565666564436059606354501506026975,000$/1yrs
Cole Reinhardt0LW100.006350596467656462426155596052501505924975,000$/1yrs
Chase Wouters0C100.005851636762656461586054566052501505924950,000$/2yrs
Curtis Douglas0C100.0070665156776564615858535857525015058241,250,000$/2yrs
Tuukka Tieksola (R)0RW100.0056406969556161604160565962505015058231,500,000$/3yrs
Stefan Matteau (R)0LW100.006043636065656357405454565761531505730975,000$/1yrs
Danick Martel0LW100.005350676655676661415654526157501505729975,000$/1yrs
Steven Santini0D98.0062437065647069634058546861595115062293,000,000$/3yrs
Wyatte Wylie0D97.0060437268636463604055536561525015060241,250,000$/2yrs
Dean Stewart0D99.005841696563646359405553605953501505926975,000$/1yrs
Frank Hora0D99.006246676366656255405251645655501505928975,000$/1yrs
Eric Williams0D100.005845686364656255405150625657501505829975,000$/1yrs
Layton Ahac0D100.005843696266636159405151565751501505723975,000$/2yrs
Scratches
Colt Conrad0C100.005547676660646358525453535954501505727975,000$/1yrs
David Cotton0C100.005745716264646257525253535753501505626975,000$/2yrs
Erik Brown0LW100.0058456961636664584053525457555015056281,300,000$/2yrs
Liam Kirk (R)0C100.0051445259525348514050505152505015051241,200,000$/3yrs
Austin Osmanski0D100.006344676268636056405252625653501505926
Ben Finkelstein0D100.005640686659615954405453605852501505826
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 # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Felix Sandstrom0100.007569697071696967697166565015064272,500,000$/3yrs
Daniel Mannella0100.006459576160575753596057545015054281,500,000$/2yrs
Scratches
Malcolm Subban094.007371747171697167697369655815065304,000,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joe Sacco7981787062571USA5531,000,000$
General Manager
Player Stats
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 Name# POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MP PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Phil Di GiuseppePhantomsPhantoms (PHI)LW53222850954201032046011410.78%2222.8710414022854250.00%110.94260.93
2Riley BarberPhantomsPhantoms (PHI)RW5521284914235118142437914.79%1318.825611000254245.95%000.89240.92
3Andreas JohnssonPhantomsPhantoms (PHI)LW/RW5517234022610109161388910.56%2022.523710000633140.32%000.73250.74
4Peter AbbandonatoPhantomsPhantoms (PHI)C551127381432109887325312.64%1919.275611000402045.70%000.69000.62
5Cole KoepkePhantomsPhantoms (PHI)LW/RW55171229188010893283918.28%1018.1922400003141.94%000.53010.65
6Wyatte WyliePhantomsPhantoms (PHI)D552192125295685628323.57%4225.2806600093100.00%000.38000.45
7Dean StewartPhantomsPhantoms (PHI)D55971610606247142219.15%2319.7201100071337.74%010.29000.34
8Steven SantiniPhantomsPhantoms (PHI)D5501515-43010864924310.00%6225.19044000102000.00%000.27000.21
9Alex ChiassonPhantomsPhantoms (PHI)RW5341014-4215615817486.90%1415.6900000000140.43%000.26000.21
10Frank HoraPhantomsPhantoms (PHI)D551910172810482914173.45%3620.2402200064000.00%000.18000.21
11Liam KirkPhantomsPhantoms (PHI)C15639060262511124.00%212.3400000002238.27%000.60000.53
12Tuukka TieksolaPhantomsPhantoms (PHI)RW55369-1115494216397.14%69.2800000000075.00%000.16000.17
13Cole ReinhardtPhantomsPhantoms (PHI)LW37358-42410594626396.52%1014.0200000031050.00%000.22000.17
14Eric WilliamsPhantomsPhantoms (PHI)D552579531545231778.70%2217.9600001145000.00%000.13000.03
15Stefan MatteauPhantomsPhantoms (PHI)LW472134160401351015.38%48.51000000130116.67%000.06000.06
16Curtis DouglasPhantomsPhantoms (PHI)C38213212103283325.00%16.23000000270041.67%000.08000.05
17Layton AhacPhantomsPhantoms (PHI)D38202-7601060533.33%110.6900000023100.00%000.0500-0.04
18Colt ConradPhantomsPhantoms (PHI)C21011-12081230.00%15.3900000030055.00%000.05000.00
19Danick MartelPhantomsPhantoms (PHI)LW2401100001000.00%01.1700000000050.00%000.04000.03
20Chase WoutersPhantomsPhantoms (PHI)C40000-20074020.00%12.0700000080066.67%000.0000-0.00
Team Total or Average9161242013251013871151137109536864311.32%30916.18253863718033612221345.97%1403246246120.44616
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
1Malcolm SubbanPhantomsPhantoms (PHI)532714110.9072.063170651091172655030.58817522911
2Felix SandstromPhantomsPhantoms (PHI)11000.8890.926500194001.000410000
Team Total or Average542814110.9072.043235651101181659030.66721532911
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Alex Chiasson RW333,300,000$3,300,000$ UFA
Andreas Johnsson LW/RW293,500,000$3,500,000$ 3,500,000$ 3,500,000$ UFA
Austin Osmanski D260$ RFA
Ben Finkelstein D260$UFA
Chase Wouters C24950,000$975,000$ 975,000$ RFA
Cole Koepke LW/RW26975,000$975,000$ RFA
Cole Reinhardt LW24975,000$975,000$ RFA
Colt Conrad C27975,000$975,000$ UFA
Curtis Douglas C241,250,000$1,250,000$ 1,250,000$ RFA
Danick Martel LW29975,000$975,000$ UFA
Daniel Mannella G281,500,000$1,500,000$ 1,500,000$ UFA
David Cotton C26975,000$975,000$ 975,000$ UFA
Dean Stewart D26975,000$975,000$ RFA
Eric Williams D29975,000$975,000$ UFA
Erik Brown LW281,300,000$1,300,000$ 1,300,000$ UFA
Felix Sandstrom G272,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
Frank Hora D28975,000$975,000$ UFA
Layton Ahac D23975,000$975,000$ 975,000$ RFA
Liam Kirk C241,200,000$1,200,000$ 1,200,000$ 1,200,000$ UFA
Malcolm Subban G304,000,000$4,000,000$ 4,000,000$ UFA
Peter Abbandonato C261,000,000$1,000,000$ 1,000,000$ UFA
Phil Di Giuseppe LW302,400,000$2,400,000$ 2,400,000$ 2,400,000$ UFA
Riley Barber RW302,500,000$2,500,000$ 2,500,000$ 2,500,000$ UFA
Stefan Matteau LW30975,000$975,000$ UFA
Steven Santini D293,000,000$3,000,000$ 3,000,000$ 3,000,000$ UFA
Tuukka Tieksola RW231,500,000$1,500,000$ 1,500,000$ 1,500,000$ RFA
Wyatte Wylie D241,250,000$1,250,000$ 1,250,000$ RFA

Lines
Forward Lines


# - Phil Di Giuseppe


# - Riley Barber


# - Andreas Johnsson


# - Cole Koepke


# - Peter Abbandonato


# - Riley Barber


# - Andreas Johnsson


# - Phil Di Giuseppe


# - Alex Chiasson


# - Andreas Johnsson


# - Dean Stewart


# - Tuukka Tieksola

Defensive Pairings


# - Wyatte Wylie


# - Steven Santini


# - Wyatte Wylie


# - Frank Hora


# - Dean Stewart


# - Eric Williams

1st Power Play Unit


# - Phil Di Giuseppe


# - Riley Barber


# - Andreas Johnsson


# - Wyatte Wylie


# - Steven Santini

2nd Power Play Unit


# - Cole Koepke


# - Peter Abbandonato


# - Riley Barber


# - Wyatte Wylie


# - Frank Hora

Goalies


# - Felix Sandstrom


# - Daniel Mannella

Team Stats
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
# VS Team 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 GF% SH% SV% PDO PDOBRK
1PhantomsGulls2100010011030.7501230116536611272504655043616101549500.00%50100.00%044090648.57%44087850.11%30362548.48%10304521047579126662650.0%3.7%93.8%97.5DULL
2PhantomsMoose1100000061521.00061016001653661122250465504362241418100.00%20100.00%144090648.57%44087850.11%30362548.48%10304521047579126662685.7%27.3%95.5%122.7LUCKY
3PhantomsBruins421001001415-150.62514233700165366111112504655043613238659212541.67%10190.00%044090648.57%44087850.11%30362548.48%10304521047579126662639.1%12.6%88.6%101.2FUN
4PhantomsAmericans2010000148-410.250461000165366113325046550436311226353133.33%5420.00%044090648.57%44087850.11%30362548.48%10304521047579126662642.9%12.1%74.2%86.3FUN
5PhantomsHeat2100010043130.7504711001653661141250465504362110648300.00%3166.67%044090648.57%44087850.11%30362548.48%10304521047579126662666.7%9.8%85.7%95.5FUN
6PhantomsWolves2020000059-400.000591400165366114825046550436752429433266.67%7271.43%044090648.57%44087850.11%30362548.48%10304521047579126662630.0%10.4%88.0%98.4FUN
7PhantomsIceHogs1000100032121.00034700165366111425046550436214622100.00%3166.67%044090648.57%44087850.11%30362548.48%10304521047579126662675.0%21.4%90.5%111.9FUN
8PhantomsEagles2010010048-410.25048120016536611392504655043646920445240.00%10460.00%044090648.57%44087850.11%30362548.48%10304521047579126662633.3%10.3%82.6%92.9FUN
9PhantomsMonsters1010000012-100.0001230016536611825046550436131425000.00%2150.00%044090648.57%44087850.11%30362548.48%10304521047579126662650.0%12.5%84.6%97.1FUN
10PhantomsStars1010000004-400.00000000165366111925046550436175222000.00%110.00%044090648.57%44087850.11%30362548.48%1030452104757912666260.0%0.0%76.5%76.5Unlucky
11PhantomsCondors1000000134-110.500347001653661127250465504362076173133.33%3233.33%044090648.57%44087850.11%30362548.48%10304521047579126662650.0%11.1%80.0%91.1FUN
12PhantomsCheckers 132000100114750.833112132011653661110225046550436461417946466.67%60100.00%044090648.57%44087850.11%30362548.48%10304521047579126662663.6%10.8%91.3%102.1LUCKY
13PhantomsReign1010000024-200.000246101653661118250465504367442411100.00%2150.00%044090648.57%44087850.11%30362548.48%10304521047579126662625.0%11.1%42.9%54.0FUN
14PhantomsWild1000001032121.00034700165366113025046550436217436300.00%20100.00%044090648.57%44087850.11%30362548.48%10304521047579126662660.0%10.0%90.5%100.5FUN
15PhantomsRocket2200000071641.00071118011653661152250465504363688609111.11%40100.00%044090648.57%44087850.11%30362548.48%10304521047579126662685.7%13.5%97.2%110.7LUCKY
16PhantomsComets1010000035-200.000358101653661114250465504362761018000.00%5260.00%144090648.57%44087850.11%30362548.48%10304521047579126662650.0%21.4%81.5%102.9FUN
17PhantomsIslanders43000100114770.875112233011653661184250465504366317141088225.00%7271.43%044090648.57%44087850.11%30362548.48%10304521047579126662681.8%13.1%93.7%106.7LUCKY
18PhantomsWolf Pack43000100136770.8751321340016536611101250465504361083033638337.50%14192.86%144090648.57%44087850.11%30362548.48%10304521047579126662666.7%12.9%94.4%107.3LUCKY
19PhantomsBelleville Senators1100000021121.0002350016536611292504655043627116282150.00%3166.67%044090648.57%44087850.11%30362548.48%103045210475791266626100.0%6.9%96.3%103.2DULL
20PhantomsRoadrunners1100000054121.000581300165366113025046550436317428100.00%20100.00%044090648.57%44087850.11%30362548.48%10304521047579126662655.6%16.7%87.1%103.8FUN
21Phantoms Penguins3110010066030.5006111700165366116725046550436691814696116.67%20100.00%044090648.57%44087850.11%30362548.48%10304521047579126662645.5%9.0%91.3%100.3LUCKY
22PhantomsBarracuda3120000066020.33361117001653661159250465504365815156310110.00%5260.00%044090648.57%44087850.11%30362548.48%10304521047579126662655.6%10.2%89.7%99.8FUN
23PhantomsThunderbirds2010100056-120.500581300165366115525046550436771313415120.00%4250.00%044090648.57%44087850.11%30362548.48%10304521047579126662650.0%9.1%92.2%101.3LUCKY
24PhantomsMarlies1000001021121.000213001653661135250465504363512918100.00%2150.00%044090648.57%44087850.11%30362548.48%103045210475791266626100.0%5.7%97.1%102.9DULL
25PhantomsCanucks1100000020221.00023501165366111325046550436174223400.00%10100.00%044090648.57%44087850.11%30362548.48%103045210475791266626100.0%15.4%100.0%115.4LUCKY
26PhantomsHershey Bears412000011013-330.3751014241016536611100250465504361524154767114.29%12466.67%044090648.57%44087850.11%30362548.48%10304521047579126662650.0%10.0%91.4%101.4LUCKY
27PhantomsSilver Knights4110101086260.7508132100165366115625046550436511815963133.33%5180.00%044090648.57%44087850.11%30362548.48%10304521047579126662658.3%14.3%88.2%102.5FUN
_Vs Division1312600501403010301.154406510502165366113622504655043630795131327331236.36%30776.67%044090648.57%44087850.11%30362548.48%10304521047579126662654.9%11.0%90.2%101.3FUN
_Vs Conference3316900512917516410.62191152243241653661179725046550436831236291752692130.43%801976.25%244090648.57%44087850.11%30362548.48%10304521047579126662655.6%11.4%91.0%102.4FUN
_Since Last GM Reset5522160383314112615670.6091412353763516536611123425046550436123934941512601102825.45%1273473.23%344090648.57%44087850.11%30362548.48%10304521047579126662655.1%11.4%89.8%101.3FUN
Total5522160383314112615670.6091412353763516536611123425046550436123934941512601102825.45%1273473.23%344090648.57%44087850.11%30362548.48%10304521047579126662655.1%11.4%89.8%101.3FUN

Puck Time
Offensive Zone 18
Neutral Zone 23
Defensive Zone 19
Puck Time
Offensive Zone Start 906
Neutral Zone Start 625
Defensive Zone Start 878
Puck Time
With Puck 30
Without Puck 30
Faceoffs
Faceoffs Won 1183
Faceoffs Lost 1226
Team Average Shots after League Average Shots after
1st Period 4.59.57
2nd Period 13.020.31
3rd Period 22.230.68
Overtime 22.831.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.30.64
2nd Period 1.31.65
3rd Period 2.52.67
Overtime 2.72.83
Even Strenght Goal 107
PP Goal 28
PK Goal 3
Empty Net Goal 3
Home Away
Win 1414
Lost 79
Overtime Lost 74
PP Attempt 110
PP Goal 28
PK Attempt 127
PK Goal Against 34
Home
Shots For 22.4
Shots Against 22.5
Goals For 2.6
Goals Against 2.3
Hits 22.9
Shots Blocked 6.3
Pim 7.5
Schedule
DateMatchup Result Detail
Sat, Oct 12PhantomsPHI@PhantomsCHIPHI3,CHI2 (OT)RECAP
Sun, Oct 13PhantomsPHI@PhantomsNYRPHI1,NYR2 (OT)RECAP
Tue, Oct 15PhantomsFLO@PhantomsPHIFLO3,PHI2 (OT)RECAP
Thu, Oct 17PhantomsPHI@PhantomsPITPHI4,PIT1RECAP
Sat, Oct 19PhantomsPIT@PhantomsPHIPIT1,PHI0 (OT)RECAP
Mon, Oct 21PhantomsBOS@PhantomsPHIBOS5,PHI1RECAP
Thu, Oct 24PhantomsS J@PhantomsPHIS J1,PHI3RECAP
Sat, Oct 26PhantomsPHI@PhantomsNYIPHI2,NYI1RECAP
Mon, Oct 28PhantomsPHI@PhantomsBOSPHI5,BOS3RECAP
Tue, Oct 29PhantomsNYI@PhantomsPHINYI1,PHI3RECAP
Thu, Oct 31PhantomsPHI@PhantomsNYRPHI5,NYR1RECAP
Sun, Nov 3PhantomsNYR@PhantomsPHINYR1,PHI4RECAP
Tue, Nov 5PhantomsWAS@PhantomsPHIWAS2,PHI3RECAP
Wed, Nov 6PhantomsPHI@PhantomsCALPHI3,CAL1RECAP
Fri, Nov 8PhantomsPHI@PhantomsFLOPHI6,FLO1RECAP
Sun, Nov 10PhantomsPHO@PhantomsPHIPHO4,PHI5RECAP
Tue, Nov 12PhantomsPHI@PhantomsMTLPHI5,MTL1RECAP
Thu, Nov 14PhantomsNYR@PhantomsPHINYR2,PHI3RECAP
Sat, Nov 16PhantomsMTL@PhantomsPHIMTL0,PHI2RECAP
Mon, Nov 18PhantomsPHI@PhantomsEDMPHI3,EDM4 (SO)RECAP
Wed, Nov 20PhantomsPHI@PhantomsWASPHI3,WAS4RECAP
Fri, Nov 22PhantomsMIN@PhantomsPHIMIN2,PHI3 (SO)RECAP
Mon, Nov 25PhantomsPHI@PhantomsWPGPHI6,WPG1RECAP
Tue, Nov 26PhantomsNYI@PhantomsPHINYI2,PHI1 (OT)RECAP
Thu, Nov 28PhantomsPHI@PhantomsLOSPHI2,LOS4RECAP
Sun, Dec 1PhantomsCLB@PhantomsPHICLB2,PHI1RECAP
Mon, Dec 2PhantomsPHI@PhantomsBUFPHI3,BUF6RECAP
Wed, Dec 4PhantomsS J@PhantomsPHIS J3,PHI2RECAP
Sat, Dec 7PhantomsPHI@PhantomsNYIPHI5,NYI0RECAP
Mon, Dec 9PhantomsWAS@PhantomsPHIWAS4,PHI3 (SO)RECAP
Thu, Dec 12PhantomsPHI@PhantomsSTLPHI2,STL4RECAP
Fri, Dec 13PhantomsTOR@PhantomsPHITOR1,PHI2 (SO)RECAP
Mon, Dec 16PhantomsPHI@PhantomsDALPHI0,DAL4RECAP
Wed, Dec 18PhantomsPIT@PhantomsPHIPIT4,PHI2RECAP
Fri, Dec 20PhantomsPHI@PhantomsVANPHI2,VAN0RECAP
Sun, Dec 22PhantomsCOL@PhantomsPHICOL3,PHI0RECAP
Wed, Dec 25PhantomsOTT@PhantomsPHIOTT1,PHI2RECAP
Sat, Dec 28PhantomsANA@PhantomsPHIANA0,PHI1RECAP
Mon, Dec 30PhantomsPHI@PhantomsBOSPHI5,BOS3RECAP
Tue, Dec 31PhantomsFLO@PhantomsPHIFLO0,PHI3RECAP
Thu, Jan 2PhantomsPHI@PhantomsWASPHI1,WAS3RECAP
Sat, Jan 4PhantomsBUF@PhantomsPHIBUF2,PHI1 (SO)RECAP
Mon, Jan 6PhantomsPHI@PhantomsANAPHI0,ANA1 (OT)RECAP
Wed, Jan 8PhantomsCAL@PhantomsPHICAL2,PHI1 (OT)RECAP
Fri, Jan 10PhantomsPHI@PhantomsCOLPHI4,COL5 (OT)RECAP
Sun, Jan 12PhantomsCHI@PhantomsPHICHI1,PHI3RECAP
Tue, Jan 14PhantomsPHI@PhantomsCHIPHI0,CHI2RECAP
Thu, Jan 16PhantomsBOS@PhantomsPHIBOS4,PHI3 (OT)RECAP
Sat, Jan 18PhantomsPHI@PhantomsCHIPHI3,CHI2 (OT)RECAP
Sun, Jan 19PhantomsCAR@PhantomsPHICAR4,PHI2RECAP
Tue, Jan 21PhantomsPHI@PhantomsS JPHI1,S J2RECAP
Thu, Jan 23PhantomsSTL@PhantomsPHISTL2,PHI3 (OT)RECAP
Sat, Jan 25PhantomsPHI@PhantomsNJDPHI3,NJD5RECAP
Sun, Jan 26PhantomsCAR@PhantomsPHICAR5,PHI3RECAP
Tue, Jan 28PhantomsPHI@PhantomsCHIPHI2,CHI1 (SO)RECAP
Fri, Jan 31PhantomsPHI@PhantomsCAR
Sat, Feb 1PhantomsDET@PhantomsPHI
Tue, Feb 4PhantomsPHI@PhantomsPIT
Wed, Feb 5PhantomsTAM@PhantomsPHI
Fri, Feb 7PhantomsPHI@PhantomsTOR
Sun, Feb 9PhantomsDAL@PhantomsPHI
Wed, Feb 12PhantomsLOS@PhantomsPHI
Thu, Feb 13PhantomsPHI@PhantomsTAM
Sun, Feb 16PhantomsPHI@PhantomsDET
Mon, Feb 17PhantomsWPG@PhantomsPHI
Wed, Feb 19PhantomsPHI@PhantomsOTT
Fri, Feb 21PhantomsEDM@PhantomsPHI
Sun, Feb 23PhantomsPHI@PhantomsNAS
Wed, Feb 26PhantomsCHI@PhantomsPHI
Fri, Feb 28PhantomsPHI@PhantomsNYR
Sat, Mar 1PhantomsCHI@PhantomsPHI
Tue, Mar 4PhantomsPHI@PhantomsPHO
Thu, Mar 6PhantomsNAS@PhantomsPHI
Mon, Mar 10PhantomsSEA@PhantomsPHI
Thu, Mar 13PhantomsNJD@PhantomsPHI
Sat, Mar 15PhantomsPHI@PhantomsFLO
Sun, Mar 16PhantomsPHI@PhantomsCAR
Trade Deadline --- Trades can’t be done after this day is simulated!
Tue, Mar 18PhantomsPHI@PhantomsSEA
Thu, Mar 20PhantomsVAN@PhantomsPHI
Sat, Mar 22PhantomsPHI@PhantomsMIN
Mon, Mar 24PhantomsPHI@PhantomsCLB
Wed, Mar 26PhantomsSEA@PhantomsPHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
4,092,500$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityLehigh Valley
Capacity3000
Season Ticket Holders10%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity20001000
Ticket Price35$18$$$$
Attendance00
Attendance PCT0.00%0.00%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
13 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
4,092,500$ 4,090,000$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
3,240,439$ 0$ 2,595,446$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 87 30,133$ 1,807,980$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
1,807,980$ 0$ 0$ 0$

Sponsors
TV RightsPrimary SponsorSecondary SponsorSecondary Sponsor
Depth Chart RookieInjured Cold Streak Hot Streak
Left WingCenterRight Wing

Defense #1Defense #2Goalie

Transactions



Injuries
Malcolm Subban is out for 1 days because of a Exhaustion.

Game Center

Wolves44-9-2, 90pts53Final
Phantoms28-16-11, 67pts

Phantoms28-16-11, 67pts21Final
Silver Knights17-30-9, 43pts

Phantoms28-16-11, 67ptsWed, Jan 29
Silver Knights17-30-9, 43pts

Phantoms28-16-11, 67ptsMon, Oct 14
Wolf Pack31-21-3, 65pts

Checkers 121-26-9, 51ptsWed, Oct 16
Phantoms28-16-11, 67pts

TRANSACTIONS



 

Team Info

Phantoms
Head CoachJoe Sacco
DivisionAtlantic Division
CityLehigh Valley
Stadium Capacity3,000

Phantoms Affiliation

Phantoms
General ManagerLuc Gregoire
Head CoachScott Arniel
StadiumWachovia Center
Capacity20,523

Team Leaders


GOALS
Phil Di Giuseppe
PhantomsPhantoms
22
GOALS
POINTS
Phil Di Giuseppe
PhantomsPhantoms
50
POINTS
WINS
Malcolm Subban
PhantomsPhantoms
27
WINS
Expanded Player Leaderboard

Team Stats


Goals For
141
2.56 GFG
Goals Against
126
2.29 GAA
Power Play Percentage
25.5%
28 GF
Penalty Kill Percentage
73.2%
34 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain