PhantomsLehigh Valley Phantoms
17-12-1, 35pts · 8th 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
Juha Jaaska0LW98.0061436967747159634962596263515015061271,000,000$/2yrs
Cole Reinhardt0LW100.0064466265676664634361566261535015060251,500,000$/3yrs
Max McCormick0LW98.005644676560696862445758586168641506033975,000$/3yrs
Lukas Rousek0RW98.005643696660686762446554596154501506026975,000$/3yrs
Dylan Roobroeck0C98.0064426462676058624258605961505015059201,000,000$/2yrs
Curtis Douglas0C98.0070635255776665615958545957535015059251,250,000$/1yrs
Chase Wouters0C100.005848636562686662596055586153501505925950,000$/1yrs
Jordan Martel0RW98.0058406661616260564053545757535015056271,000,000$/2yrs
Riley Hughes (R)0C/LW/RW100.005941675962626057405454555752501505625975,000$/1yrs
Steven Santini0D98.0062427265657170634057566762635515063303,000,000$/2yrs
Wyatte Wylie0D100.0060427266636664614055546561535015061251,250,000$/1yrs
Grant Hutton0D100.0060436861686765584054516257595215060291,000,000$/2yrs
Seth Helgeson0D100.005846625869696855405151595470621505934975,000$/3yrs
Djibril Touré0D100.0063446062676058574054556358505015059221,000,000$/2yrs
Ryan Jones0D100.006142686067676456405250625559501505929975,000$/3yrs
Grant Gabriele0D100.0060406962646462534051516255565015058281,000,000$/2yrs
Jeremie Bucheler0D100.0063406960686259554051516156525015058251,000,000$/2yrs
Joe Arntsen0D100.0062416661655857554053546157505015058221,000,000$/2yrs
Scratches
Stefan Matteau0LW100.0058416758646563554051515455645815056311,200,000$/1yrs
Josh Prokop0RW100.0058406261616158554054545657525015056251,000,000$/2yrs
Keaton Mastrodonato0C/LW/RW100.0061406960656158554051525455525015055241,000,000$/2yrs
Sam Bitten0C/LW/RW100.006155565966656356405252535552501505525975,000$/4yrs
Connor Kurth (R)0RW100.006240625963585654405453575550501505521975,000$/1yrs
Jackson van de Leest0D79.7167406658756158534051516454525015059241,000,000$/2yrs
Joe Fleming0D100.0062495662646058574054536257505015058221,000,000$/2yrs
Noah Warren (R)0D100.006442645869585758405453595650501505820865,000$/2yrs
Dyllan Gill0D100.0059406762615957574054555958505015057211,000,000$/2yrs
Filip Král0D100.0053426360606160594057545657525015057251,000,000$/2yrs
Jeremie Biakabutuka0D100.0061406660645957554054535956515015057231,000,000$/2yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Malcolm Subban0100.006870726869676966676969655815063314,000,000$/1yrs
Felix Sandström0100.00736665666867686667696157511506228975,000$/3yrs
Scratches
Jaxon Castor0100.00625957636057575458595755511505428975,000$/3yrs
Jordan Papirny0100.006860555960575752586159595215054291,000,000$/2yrs
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Joe Sacco8879797878691USA5621,000,000$
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
1Juha JaaskaPhantomsPhantoms (PHI)LW30121527-81553977324015.58%823.55246000552048.92%000.90240.71
2Lukas RousekPhantomsPhantoms (PHI)RW30111223-141254283233413.25%1521.10415000493141.54%010.77240.55
3Curtis DouglasPhantomsPhantoms (PHI)C3071017-447155545133515.56%619.872810000202155.59%000.57000.25
4Dylan RoobroeckPhantomsPhantoms (PHI)C306915-22753827132922.22%518.51213000230339.27%100.50110.24
5Max McCormickPhantomsPhantoms (PHI)LW3077142753761213711.48%418.78314000252146.88%000.47230.51
6Chase WoutersPhantomsPhantoms (PHI)C3048120235354817298.33%1018.32145000131151.76%000.40000.30
7Steven SantiniPhantomsPhantoms (PHI)D301910-1319541378142.70%3425.3912300067000.00%000.33000.13
8Jordan MartelPhantomsPhantoms (PHI)RW30347080382282313.64%617.5811200001064.29%000.23000.22
9Seth HelgesonPhantomsPhantoms (PHI)D30044420156240.00%513.46000000170057.14%000.13000.14
10Cole ReinhardtPhantomsPhantoms (PHI)LW30224-7120414413254.55%1217.95011000370036.11%000.13020.11
11Wyatte WyliePhantomsPhantoms (PHI)D30134-140232512124.00%2721.8501100060100.00%000.13000.17
12Grant HuttonPhantomsPhantoms (PHI)D300223120167940.00%1618.780110003600100.00%000.07000.05
13Djibril TouréPhantomsPhantoms (PHI)D30022-240144310.00%1311.8101100016000.00%000.07000.03
14Grant GabrielePhantomsPhantoms (PHI)D1300000040100.00%05.660000000000.00%000.00000.01
15Jackson van de LeestPhantomsPhantoms (PHI)D1700010021000.00%28.760000008000.00%000.00000.01
16Jeremie BuchelerPhantomsPhantoms (PHI)D1300000010000.00%06.470000000000.00%000.0000-0.00
17Joe ArntsenPhantomsPhantoms (PHI)D18000-10010000.00%01.210000000000.00%000.0000-0.02
18Joe FlemingPhantomsPhantoms (PHI)D400002020000.00%07.860000000000.00%000.0000-0.08
19Josh ProkopPhantomsPhantoms (PHI)RW1100012061120.00%210.84000000000100.00%000.00000.02
20Riley HughesPhantomsPhantoms (PHI)C/LW/RW19000-140148200.00%412.81000000130030.00%000.0000-0.02
21Ryan JonesPhantomsPhantoms (PHI)D3000032052230.00%79.480000005000.00%000.00000.04
Team Total or Average5155487141-262316546949818029210.84%17616.3416264250200045212747.82%1217121138110.34714
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)2091010.9012.3511772246463243000.70010209301
2Felix SandströmPhantomsPhantoms (PHI)118200.9101.676470218199111100.83361020211
Team Total or Average31171210.9032.1118242464662354100.750163029512
Salary
Player Name POS Age Cap Hit 2017-18 2018-19 2019-20 2020-21 2021-22 2022-23 2023-24 2024-25
Chase Wouters C25950,000$975,000$ RFA
Cole Reinhardt LW251,500,000$1,500,000$ 1,500,000$ 1,500,000$ UFA
Connor Kurth RW21975,000$975,000$ RFA
Curtis Douglas C251,250,000$1,250,000$ RFA
Djibril Touré D221,000,000$1,000,000$ 1,000,000$ RFA
Dylan Roobroeck C201,000,000$1,000,000$ 1,000,000$ RFA
Dyllan Gill D211,000,000$1,000,000$ 1,000,000$ RFA
Felix Sandström G28975,000$975,000$ 975,000$ 975,000$ UFA
Filip Král D251,000,000$1,000,000$ 1,000,000$ UFA
Grant Gabriele D281,000,000$1,000,000$ 1,000,000$ UFA
Grant Hutton D291,000,000$1,000,000$ 1,000,000$ UFA
Jackson van de Leest D241,000,000$1,000,000$ 1,000,000$ RFA
Jaxon Castor G28975,000$975,000$ 975,000$ 975,000$ UFA
Jeremie Biakabutuka D231,000,000$1,000,000$ 1,000,000$ RFA
Jeremie Bucheler D251,000,000$1,000,000$ 1,000,000$ RFA
Joe Arntsen D221,000,000$1,000,000$ 1,000,000$ RFA
Joe Fleming D221,000,000$1,000,000$ 1,000,000$ RFA
Jordan Martel RW271,000,000$1,000,000$ 1,000,000$ UFA
Jordan Papirny G291,000,000$1,000,000$ 1,000,000$ UFA
Josh Prokop RW251,000,000$1,000,000$ 1,000,000$ RFA
Juha Jaaska LW271,000,000$1,000,000$ 1,000,000$ UFA
Keaton Mastrodonato C/LW/RW241,000,000$1,000,000$ 1,000,000$ RFA
Lukas Rousek RW26975,000$975,000$ 975,000$ 975,000$ UFA
Malcolm Subban G314,000,000$4,000,000$ UFA
Max McCormick LW33975,000$975,000$ 975,000$ 975,000$ UFA
Noah Warren D20865,000$975,000$ 975,000$ RFA
Riley Hughes C/LW/RW25975,000$975,000$ RFA
Ryan Jones D29975,000$975,000$ 975,000$ 975,000$ UFA
Sam Bitten C/LW/RW25975,000$975,000$ 975,000$ 975,000$ 975,000$ UFA
Seth Helgeson D34975,000$975,000$ 975,000$ 975,000$ UFA
Stefan Matteau LW311,200,000$1,200,000$ UFA
Steven Santini D303,000,000$3,000,000$ 3,000,000$ UFA
Wyatte Wylie D251,250,000$1,250,000$ RFA

Lines
Forward Lines


# - Juha Jaaska


# - Dylan Roobroeck


# - Lukas Rousek


# - Max McCormick


# - Curtis Douglas


# - Jordan Martel


# - Cole Reinhardt


# - Chase Wouters


# - Juha Jaaska


# - Lukas Rousek


# - Juha Jaaska


# - Max McCormick

Defensive Pairings


# - Steven Santini


# - Wyatte Wylie


# - Grant Hutton


# - Djibril Touré


# - Seth Helgeson


# - Ryan Jones

1st Power Play Unit


# - Juha Jaaska


# - Dylan Roobroeck


# - Lukas Rousek


# - Steven Santini


# - Wyatte Wylie

2nd Power Play Unit


# - Max McCormick


# - Curtis Douglas


# - Jordan Martel


# - Grant Hutton


# - Djibril Touré

Goalies


# - Felix Sandström


# - Malcolm Subban

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
1PhantomsMoose2200000041341.00046100142131825102215209163312427200.00%20100.00%021243748.51%25751649.81%13530344.55%51119458633272735980.0%16.0%97.0%113.0LUCKY
2PhantomsBruins1010000015-400.00012300421318191022152091635172616300.00%3233.33%021243748.51%25751649.81%13530344.55%51119458633272735925.0%5.3%85.7%91.0Unlucky
3PhantomsAmericans2110000023-120.500246004213182010221520916361316262150.00%8275.00%021243748.51%25751649.81%13530344.55%51119458633272735950.0%10.0%91.7%101.7LUCKY
4PhantomsHeat1100000041321.000461000421318281022152091625911203133.33%3166.67%021243748.51%25751649.81%13530344.55%511194586332727359100.0%14.3%96.0%110.3LUCKY
5PhantomsWolves2110000045-120.5004812004213183110221520916661916405240.00%80100.00%021243748.51%25751649.81%13530344.55%51119458633272735928.6%12.9%92.4%105.3LUCKY
6PhantomsIceHogs1000000123-110.5002240042131812102215209161974153133.33%20100.00%021243748.51%25751649.81%13530344.55%51119458633272735925.0%16.7%84.2%100.9FUN
7PhantomsEagles1100000010121.000112014213181910221520916123016100.00%000.00%021243748.51%25751649.81%13530344.55%511194586332727359100.0%5.3%100.0%105.3DULL
8PhantomsGriffins1010000024-200.000235004213182710221520916434819200.00%4250.00%021243748.51%25751649.81%13530344.55%51119458633272735950.0%7.4%90.7%98.1Unlucky
9PhantomsCheckers 13210000075240.66771320004213184210221520916531327509333.33%11190.91%021243748.51%25751649.81%13530344.55%51119458633272735950.0%16.7%90.6%107.2FUN
10PhantomsIslanders3100101061561.000681402421318321022152091635128503133.33%40100.00%021243748.51%25751649.81%13530344.55%51119458633272735983.3%18.8%97.1%115.9LUCKY
11PhantomsWolf Pack2020000028-600.00024600421318471022152091673254238400.00%6266.67%021243748.51%25751649.81%13530344.55%51119458633272735925.0%4.3%89.0%93.3Unlucky
12PhantomsRoadrunners1010000013-200.0001230042131817102215209161721754125.00%2150.00%021243748.51%25751649.81%13530344.55%5111945863327273590.0%5.9%82.4%88.2Unlucky
13PhantomsCanucks1010000004-400.0000000042131816102215209163081113400.00%3166.67%021243748.51%25751649.81%13530344.55%5111945863327273590.0%0.0%86.7%86.7Unlucky
14PhantomsHershey Bears623000101316-360.5001317300042131813510221520916138363311120525.00%14564.29%021243748.51%25751649.81%13530344.55%51119458633272735942.1%9.6%88.4%98.0FUN
15PhantomsSilver Knights21000010105541.00010142400421318351022152091624711294125.00%30100.00%021243748.51%25751649.81%13530344.55%51119458633272735964.3%28.6%79.2%107.7FUN
16PhantomsCheckers 21000001021121.00021300421318231022152091623811162150.00%30100.00%021243748.51%25751649.81%13530344.55%51119458633272735950.0%8.7%95.7%104.3DULL
_Vs Division768010201217-5181.2861222340042131810810221520916167477711116425.00%26773.08%021243748.51%25751649.81%13530344.55%51119458633272735944.4%11.1%89.8%100.9FUN
_Vs Conference20710010203547-12200.5003556910242131834210221520916466143179344501224.00%571377.19%021243748.51%25751649.81%13530344.55%51119458633272735940.4%10.2%89.9%100.1FUN
_Since Last GM Reset301212010416165-4350.58361911520442131852810221520916662195245491711723.94%761777.63%021243748.51%25751649.81%13530344.55%51119458633272735947.8%11.6%90.2%101.7FUN
Total301212010416165-4350.58361911520442131852810221520916662195245491711723.94%761777.63%021243748.51%25751649.81%13530344.55%51119458633272735947.8%11.6%90.2%101.7FUN

Puck Time
Offensive Zone 17
Neutral Zone 24
Defensive Zone 19
Puck Time
Offensive Zone Start 437
Neutral Zone Start 303
Defensive Zone Start 516
Puck Time
With Puck 29
Without Puck 31
Faceoffs
Faceoffs Won 604
Faceoffs Lost 652
Team Average Shots after League Average Shots after
1st Period 3.49.57
2nd Period 10.620.31
3rd Period 17.530.68
Overtime 18.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 0.10.64
2nd Period 0.81.65
3rd Period 1.92.67
Overtime 2.12.83
Even Strenght Goal 44
PP Goal 17
PK Goal 0
Empty Net Goal 0
Home Away
Win 107
Lost 57
Overtime Lost 10
PP Attempt 71
PP Goal 17
PK Attempt 76
PK Goal Against 17
Home
Shots For 17.6
Shots Against 22.1
Goals For 2.0
Goals Against 2.2
Hits 16.4
Shots Blocked 6.5
Pim 8.2
Schedule
DateMatchup Result Detail
Wed, Oct 8PhantomsWAS@PhantomsPHIWAS4,PHI1RECAP
Fri, Oct 10PhantomsPHI@PhantomsNYIPHI4,NYI1RECAP
Tue, Oct 14PhantomsWAS@PhantomsPHIWAS2,PHI3 (SO)RECAP
Thu, Oct 16PhantomsPHI@PhantomsWASPHI2,WAS4RECAP
Sat, Oct 18PhantomsCAR@PhantomsPHICAR2,PHI3RECAP
Sun, Oct 19PhantomsPHI@PhantomsWASPHI3,WAS2RECAP
Wed, Oct 22PhantomsFLO@PhantomsPHIFLO1,PHI2RECAP
Sat, Oct 25PhantomsNYI@PhantomsPHINYI0,PHI1 (OT)RECAP
Mon, Oct 27PhantomsPHI@PhantomsCARPHI1,CAR3RECAP
Wed, Oct 29PhantomsNYR@PhantomsPHINYR4,PHI0RECAP
Sat, Nov 1PhantomsPHI@PhantomsFLOPHI1,FLO2RECAP
Sun, Nov 2PhantomsWAS@PhantomsPHIWAS1,PHI3RECAP
Wed, Nov 5PhantomsCHI@PhantomsPHICHI3,PHI2 (SO)RECAP
Thu, Nov 6PhantomsPHI@PhantomsSEAPHI2,SEA1 (SO)RECAP
Sat, Nov 8PhantomsPHI@PhantomsBOSPHI1,BOS5RECAP
Mon, Nov 10PhantomsPHO@PhantomsPHIPHO3,PHI1RECAP
Wed, Nov 12PhantomsPHI@PhantomsDETPHI2,DET4RECAP
Thu, Nov 13PhantomsCOL@PhantomsPHICOL0,PHI1RECAP
Sun, Nov 16PhantomsBUF@PhantomsPHIBUF2,PHI0RECAP
Tue, Nov 18PhantomsPHI@PhantomsVANPHI0,VAN4RECAP
Wed, Nov 19PhantomsCAL@PhantomsPHICAL1,PHI4RECAP
Fri, Nov 21PhantomsPHI@PhantomsBUFPHI2,BUF1RECAP
Sun, Nov 23PhantomsPHI@PhantomsNYRPHI2,NYR4RECAP
Tue, Nov 25PhantomsCHI@PhantomsPHICHI2,PHI3 (SO)RECAP
Fri, Nov 28PhantomsPHI@PhantomsWPGPHI2,WPG1RECAP
Sat, Nov 29PhantomsNYI@PhantomsPHINYI0,PHI1 (SO)RECAP
Tue, Dec 2PhantomsPHI@PhantomsFLOPHI4,FLO2RECAP
Wed, Dec 3PhantomsWAS@PhantomsPHIWAS3,PHI1RECAP
Sat, Dec 6PhantomsPHI@PhantomsCHIPHI7,CHI3RECAP
Sun, Dec 7PhantomsWPG@PhantomsPHIWPG0,PHI2RECAP
Thu, Dec 11PhantomsLOS@PhantomsPHI
Sat, Dec 13PhantomsPHI@PhantomsWAS
Mon, Dec 15PhantomsMIN@PhantomsPHI
Tue, Dec 16PhantomsPHI@PhantomsTAM
Thu, Dec 18PhantomsPHI@PhantomsS J
Fri, Dec 19PhantomsEDM@PhantomsPHI
Mon, Dec 22PhantomsPHI@PhantomsPHO
Wed, Dec 24PhantomsNYR@PhantomsPHI
Sat, Dec 27PhantomsPHI@PhantomsNYI
Mon, Dec 29PhantomsNJD@PhantomsPHI
Wed, Dec 31PhantomsPHI@PhantomsEDM
Fri, Jan 2PhantomsPHI@PhantomsTOR
Sat, Jan 3PhantomsTAM@PhantomsPHI
Tue, Jan 6PhantomsPHI@PhantomsCOL
Wed, Jan 7PhantomsCAR@PhantomsPHI
Sat, Jan 10PhantomsPHI@PhantomsNYI
Sun, Jan 11PhantomsCLB@PhantomsPHI
Wed, Jan 14PhantomsDAL@PhantomsPHI
Fri, Jan 16PhantomsPHI@PhantomsSTL
Sat, Jan 17PhantomsPHI@PhantomsPIT
Mon, Jan 19PhantomsOTT@PhantomsPHI
Wed, Jan 21PhantomsPHI@PhantomsNAS
Fri, Jan 23PhantomsFLO@PhantomsPHI
Sat, Jan 24PhantomsPHI@PhantomsOTT
Mon, Jan 26PhantomsANA@PhantomsPHI
Thu, Jan 29PhantomsPHI@PhantomsANA
Fri, Jan 30PhantomsPHI@PhantomsMTL
Sun, Feb 1PhantomsSEA@PhantomsPHI
Tue, Feb 3PhantomsTOR@PhantomsPHI
Thu, Feb 5PhantomsPHI@PhantomsCAL
Sat, Feb 7PhantomsPHI@PhantomsCLB
Mon, Feb 9PhantomsVAN@PhantomsPHI
Wed, Feb 11PhantomsBOS@PhantomsPHI
Sat, Feb 14PhantomsPHI@PhantomsCAR
Sun, Feb 15PhantomsPIT@PhantomsPHI
Wed, Feb 18PhantomsPHI@PhantomsNYR
Thu, Feb 19PhantomsNAS@PhantomsPHI
Sun, Feb 22PhantomsSTL@PhantomsPHI
Mon, Feb 23PhantomsPHI@PhantomsLOS
Tue, Feb 24PhantomsPHI@PhantomsDAL
Fri, Feb 27PhantomsPIT@PhantomsPHI
Mon, Mar 2PhantomsPHI@PhantomsPIT
Tue, Mar 3PhantomsPHI@PhantomsMIN
Wed, Mar 4PhantomsS J@PhantomsPHI
Fri, Mar 6PhantomsPHI@PhantomsSEA
Sun, Mar 8PhantomsMTL@PhantomsPHI
Trade Deadline --- Trades can’t be done after this day is simulated!
Thu, Mar 12PhantomsCHI@PhantomsPHI
Fri, Mar 13PhantomsPHI@PhantomsBOS
Sun, Mar 15PhantomsPHI@PhantomsNJD
Mon, Mar 16PhantomsPHI@PhantomsCHI
Thu, Mar 19PhantomsDET@PhantomsPHI
Mon, Mar 23PhantomsBOS@PhantomsPHI

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,792,500$ 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
25 0 - 0.00% 0$0$3000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,792,500$ 3,792,500$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,783,643$ 0$ 1,422,685$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 131 28,358$ 3,062,664$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
3,062,664$ 0$ 0$ 0$

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

Defense #1Defense #2Goalie

Transactions



Injuries
No Injury or Suspension.

Game Center

Phantoms17-12-1, 35pts73Final
Silver Knights11-12-8, 30pts

Moose14-10-7, 35pts02Final
Phantoms17-12-1, 35pts

Moose14-10-7, 35ptsMon, Dec 08
Phantoms17-12-1, 35pts

Phantoms17-12-1, 35ptsSat, Oct 11
Islanders10-17-4, 24pts

Hershey Bears15-11-5, 35ptsWed, Oct 15
Phantoms17-12-1, 35pts

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
Juha Jaaska
PhantomsPhantoms
12
GOALS
POINTS
Juha Jaaska
PhantomsPhantoms
27
POINTS
WINS
Malcolm Subban
PhantomsPhantoms
9
WINS
Expanded Player Leaderboard

Team Stats


Goals For
61
2.03 GFG
Goals Against
65
2.17 GAA
Power Play Percentage
23.9%
17 GF
Penalty Kill Percentage
77.6%
17 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain