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PHILADELPHIA PHANTOMS
GP: 29 | W: 16 | L: 10 | OTL: 3 | P: 35
GF: 108 | GA: 94 | PP%: 22.78% | PK%: 75.36%
GM : Kevin K | Morale : 49 | Team Overall : 65
Next Games #323 vs CALGARY WRANGLERS
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Game Center
CHICAGO UNDERTAKERS
12-14-2, 26pts
4
FINAL
2 PHILADELPHIA PHANTOMS
16-10-3, 35pts
Team Stats
SOL1StreakW1
7-6-2Home Record7-7-0
5-8-0Home Record9-3-3
5-3-2Last 10 Games5-3-2
3.43Goals Per Game3.72
3.54Goals Against Per Game3.24
20.69%Power Play Percentage22.78%
77.27%Penalty Kill Percentage75.36%
PHILADELPHIA PHANTOMS
16-10-3, 35pts
2
FINAL
1 CAPE BRETON LEPRECHAUNS
15-13-1, 31pts
Team Stats
W1StreakL3
7-7-0Home Record9-6-0
9-3-3Home Record6-7-1
5-3-2Last 10 Games4-6-0
3.72Goals Per Game3.45
3.24Goals Against Per Game3.41
22.78%Power Play Percentage24.10%
75.36%Penalty Kill Percentage76.84%
CALGARY WRANGLERS
15-10-4, 34pts
Day 53
PHILADELPHIA PHANTOMS
16-10-3, 35pts
Team Stats
L1StreakW1
7-5-2Home Record7-7-0
8-5-2Away Record9-3-3
6-2-2Last 10 Games5-3-2
3.72Goals Per Game3.72
3.48Goals Against Per Game3.72
22.73%Power Play Percentage22.78%
62.96%Penalty Kill Percentage75.36%
PHILADELPHIA PHANTOMS
16-10-3, 35pts
Day 54
DETROIT STEELERS
16-9-3, 35pts
Team Stats
W1StreakOTL1
7-7-0Home Record6-6-3
9-3-3Away Record10-3-0
5-3-2Last 10 Games4-5-1
3.72Goals Per Game3.57
3.24Goals Against Per Game3.57
22.78%Power Play Percentage32.47%
75.36%Penalty Kill Percentage84.75%
BANGOR PUPPIES
11-14-4, 26pts
Day 56
PHILADELPHIA PHANTOMS
16-10-3, 35pts
Team Stats
L1StreakW1
7-7-0Home Record7-7-0
4-7-4Away Record9-3-3
3-4-3Last 10 Games5-3-2
2.93Goals Per Game3.72
3.79Goals Against Per Game3.72
12.50%Power Play Percentage22.78%
77.33%Penalty Kill Percentage75.36%
Team Leaders
Goals
Beau Bennett
16
Assists
Michael McLeod
20
Points
Michael McLeod
35
Plus/Minus
Alexander Nikishin
18
Wins
Marcus Hogberg
11
Save Percentage
Ville Husso
0.909

Team Stats
Goals For
108
3.72 GFG
Shots For
905
31.21 Avg
Power Play Percentage
22.8%
18 GF
Offensive Zone Start
35.3%
Goals Against
94
3.24 GAA
Shots Against
897
30.93 Avg
Penalty Kill Percentage
75.4%%
17 GA
Defensive Zone Start
38.4%
Team Info

General ManagerKevin K
CoachBrent Sutter
DivisionAdams
ConferenceNeid Conference
Captain
Assistant #1Luca Caputi
Assistant #2Bruno Gervais


Arena Info

Capacity3,000
Attendance1,719
Season Tickets750


Roster Info

Pro Team31
Farm Team20
Contract Limit51 / 66
Prospects0


Filter Tips
PriorityTypeDescription
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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
# 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
1Kyle BeachX100.00999915781937486629483816599760627703342,036,018$
2Vincent TrocheckX100.006930796476928692409997494877800577623021,075,000$
3Beau BennettXXX100.0011995779768597358995725885950487523252,125,000$
4James NealXX100.008589175978948785338680687899820477403611,522,144$
5Michael McLeodXX100.0022298797778747870796668708671056701252775,000$
6Ryan MacInnisXXX100.00999921697865728457747566497276069702274775,000$
7Morgan KlimchukX100.009199707270837649757264688680056681283845,000$
8Zachary Bolduc (R)XXX100.00521379757464746467625866485462056621202800,000$
9Matthew Poitras (R)X100.00252477686568746247696058585865056612193800,000$
10Dale WeiseX100.00689742598072774750615457559899013600355500,000$
11David Gustafsson (R)X100.00331688697775736056555954558172033602231550,000$
12Jonathan Lekkerimäki (R)X100.0018887656867706256606159586565043591193900,000$
13Bruno Gervais (A)X100.003026996277877498509482915699930567603911,000,000$
14Egor Zamula (R)X100.00453677787976716544695860547769056652231600,000$
15Lassi Thomson (R)X100.00232387738076706344685868506870051641233650,000$
16Nikita Okhotiuk (R)X100.00661381747659646049575969405861038632223500,000$
17Malte Setkov (R)X100.00762970688156596040606061446560046622244650,000$
18Alexander Nikishin (R)X100.00705973697567675944605861456358056622221550,000$
19Aleksi Heimosalmi (R)X100.0039892657770686840575563576470043622202700,000$
Scratches
1Luca Caputi (A)X94.48889911607884709250889090719976044770351876,563$
2Bill SweattX100.001199617565756457675971519999021630351928,000$
3Tyler Boucher (R)X100.00603180677468696254585961636965021611202800,000$
4Taylor CammarataXXX100.004199677057765047525775548283040592281600,000$
5Luke Tuch (R)X100.00211068657677685760525155605958021562211600,000$
6Eric SelleckX100.00589452617773734162434249479999020550361500,000$
7Justin SchultzX100.00698849567967746246464862609286020622331500,000$
8Jacob MoverareX100.00603795628050595944523864566855021592251500,000$
9Aidan Hreschuk (R)X100.00431190737256656045605956446364021592202500,000$
TEAM AVERAGE99.8048377266767273685067646556787504265
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
1Marcus Hogberg97.0063747581739493868665609068059782292650,000$
2Ville Husso100.0066657671737274717467557761049692281870,000$
Scratches
1Lukáš Dostál (R)100.0073606176707667656258556656053652232600,000$
TEAM AVERAGE99.006766717672817874746357786205471
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Brent Sutter75758587858067CAN5721,411,000$


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
1Michael McLeodPHILADELPHIA PHANTOMS (PHI)C/LW291520351500146483313018.07%1255719.221234490002391154.39%5131810011.2601000224
2Beau BennettPHILADELPHIA PHANTOMS (PHI)C/LW/RW25161632150022877233620.78%1947418.981233440000261540.38%521313001.3500000501
3Vincent TrocheckPHILADELPHIA PHANTOMS (PHI)C29151328-1115323095396715.79%658520.18481214640001114039.71%68106110.9601001310
4Luca CaputiPHILADELPHIA PHANTOMS (PHI)LW24111526316375733385234112.94%1145018.794268480000323044.44%271410001.1500546121
5Morgan KlimchukPHILADELPHIA PHANTOMS (PHI)LW2961824140003250172612.00%1249717.15101335000000027.59%29711000.9600000000
6Bruno GervaisPHILADELPHIA PHANTOMS (PHI)D2911819-20018606225291.61%6478527.09145573000061000%02027000.4800000001
7Kyle BeachPHILADELPHIA PHANTOMS (PHI)C2081018-19145694967223111.94%1839119.564376440002271052.73%53167100.9200612030
8James NealPHILADELPHIA PHANTOMS (PHI)LW/RW276121814430482959154210.17%1134612.82112531000020022.22%1874001.0400123010
9Ryan MacInnisPHILADELPHIA PHANTOMS (PHI)C/LW/RW291241605125643570263817.14%1433911.710002230000154043.64%55713000.9400401123
10Malte SetkovPHILADELPHIA PHANTOMS (PHI)D27178122010483119675.26%3153419.8000006000053000%0416000.3000110110
11Zachary BolducPHILADELPHIA PHANTOMS (PHI)C/LW/RW2944822033224215239.52%102869.87000010000250052.17%69111000.5600000000
12Matthew PoitrasPHILADELPHIA PHANTOMS (PHI)C29246040223186711.11%741714.39000133000091037.41%28616000.2900000000
13Lassi ThomsonPHILADELPHIA PHANTOMS (PHI)D26055-40062318360%1335513.67011015000011000%0612000.2800000000
14Egor ZamulaPHILADELPHIA PHANTOMS (PHI)D29134-2203018181095.56%1435312.20000026000010000%029000.2300000001
15Alexander NikishinPHILADELPHIA PHANTOMS (PHI)D2903318404533211070%3454818.9200006000041000%0715000.1100000010
16Dale WeisePHILADELPHIA PHANTOMS (PHI)RW52133559730566.67%16112.2600000000030050.00%2600000.9800100000
17Taylor CammarataPHILADELPHIA PHANTOMS (PHI)C/LW/RW2312310001513257.69%21737.52000000000101041.67%2406000.3501000000
18Jonathan LekkerimäkiPHILADELPHIA PHANTOMS (PHI)RW18112-32001414487.14%31769.82011190000000100.00%418000.2300000000
19Aleksi HeimosalmiPHILADELPHIA PHANTOMS (PHI)D170113001387140%81669.810000000001000%003000.1200000000
20Eric TangradiPHILADELPHIA MADMENC4011100058020%04411.1200000000000050.00%1600000.4500000000
21Nikita OkhotiukPHILADELPHIA PHANTOMS (PHI)D11000100473110%4847.670000100007000%00300000000000
22David GustafssonPHILADELPHIA PHANTOMS (PHI)C11000-8005108320%213011.9100001000000048.48%331100000000000
Team Total or Average4991021582606839919551557684028242612.14%296776115.5517244152518000539316648.49%1751135181220.670318813131311
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
1Marcus HogbergPHILADELPHIA PHANTOMS (PHI)2211630.9012.9012412060606269110.6673222212
2Lukáš DostálPHILADELPHIA PHANTOMS (PHI)84300.8833.9837700252131020000611001
3Ville HussoPHILADELPHIA PHANTOMS (PHI)31100.9093.3312600777380000116000
Team Total or Average33161030.8973.16174520928964091132929213


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 Waiver Possible Contract Type Current Salary Salary RemainingSalary AverageSalary Ave 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
Aidan HreschukPHILADELPHIA PHANTOMS (PHI)D206/1/2003 7:18:28 AMYes186 Lbs6 ft4NoNoNoNo2Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No500,000$
Aleksi HeimosalmiPHILADELPHIA PHANTOMS (PHI)D205/8/2003 6:09:09 AMYes206 Lbs6 ft4NoNoNoNo2Pro & Farm700,000$472,611$40,000$27,006$70,000$47,261$No700,000$
Alexander NikishinPHILADELPHIA PHANTOMS (PHI)D2210/2/2001 7:49:45 AMYes199 Lbs6 ft4NoNoNoNo1Pro & Farm550,000$371,338$40,000$27,006$55,000$37,134$No
Beau BennettPHILADELPHIA PHANTOMS (PHI)C/LW/RW328/11/1991 7:36:54 AMNo227 Lbs6 ft0NoNoNoYes5Pro & Farm2,125,000$1,434,713$40,000$27,006$212,500$143,471$No2,125,000$2,125,000$2,125,000$2,125,000$
Bill SweattPHILADELPHIA PHANTOMS (PHI)LW3510/21/1988No206 Lbs6 ft0NoNoNoYes1Pro & Farm928,000$626,548$40,000$27,006$92,800$62,655$No
Bruno GervaisPHILADELPHIA PHANTOMS (PHI)D3910/3/1984No209 Lbs6 ft1NoNoNoYes1Pro & Farm1,000,000$675,159$40,000$27,006$100,000$67,516$No
Dale WeisePHILADELPHIA PHANTOMS (PHI)RW358/5/1988No222 Lbs6 ft2NoNoNoYes5Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No500,000$500,000$500,000$500,000$
David GustafssonPHILADELPHIA PHANTOMS (PHI)C234/11/2000 7:47:06 AMYes203 Lbs6 ft2NoNoNoNo1Pro & Farm550,000$371,338$40,000$27,006$55,000$37,134$No
Egor ZamulaPHILADELPHIA PHANTOMS (PHI)D233/30/2000 2:23:45 AMYes179 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No
Eric SelleckPHILADELPHIA PHANTOMS (PHI)LW3610/20/1987No214 Lbs6 ft2NoNoNoYes1Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No
Jacob MoverarePHILADELPHIA PHANTOMS (PHI)D258/31/1998 9:38:16 AMNo217 Lbs6 ft5NoNoNoYes1Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No
James NealPHILADELPHIA PHANTOMS (PHI)LW/RW369/3/1987No221 Lbs6 ft2NoNoNoYes1Pro & Farm1,522,144$1,027,690$40,000$27,006$152,214$102,769$No
Jonathan LekkerimäkiPHILADELPHIA PHANTOMS (PHI)RW197/24/2004 5:37:35 AMYes172 Lbs5 ft11NoNoNoNo3Pro & Farm900,000$607,643$40,000$27,006$90,000$60,764$No900,000$900,000$
Justin SchultzPHILADELPHIA PHANTOMS (PHI)D337/10/1990 6:34:28 AMNo226 Lbs6 ft0NoNoNoYes1Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No
Kyle BeachPHILADELPHIA PHANTOMS (PHI)C331/13/1990No233 Lbs6 ft3NoNoNoYes4Pro & Farm2,036,018$1,374,636$40,000$27,006$203,602$137,464$No2,036,018$2,036,018$2,036,018$
Lassi ThomsonPHILADELPHIA PHANTOMS (PHI)D239/24/2000 4:47:08 AMYes200 Lbs6 ft0NoNoNoNo3Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$650,000$
Luca CaputiPHILADELPHIA PHANTOMS (PHI)LW3510/1/1988No220 Lbs6 ft3NoNoNoYes1Pro & Farm876,563$591,820$40,000$27,006$87,656$59,182$No
Luke Tuch PHILADELPHIA PHANTOMS (PHI)LW213/7/2002 10:11:32 AMYes208 Lbs6 ft3NoNoNoNo1Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No
Lukáš DostálPHILADELPHIA PHANTOMS (PHI)G236/22/2000 4:58:28 AMYes183 Lbs6 ft3NoNoNoNo2Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No600,000$
Malte SetkovPHILADELPHIA PHANTOMS (PHI)D241/14/1999 9:02:18 AMYes209 Lbs6 ft7NoNoNoNo4Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$650,000$650,000$
Marcus HogbergPHILADELPHIA PHANTOMS (PHI)G2911/25/1994 7:43:28 AMNo215 Lbs6 ft3NoNoNoYes2Pro & Farm650,000$438,854$40,000$27,006$65,000$43,885$No650,000$
Matthew PoitrasPHILADELPHIA PHANTOMS (PHI)C193/10/2004 8:54:33 AMYes172 Lbs5 ft11NoNoNoNo3Pro & Farm800,000$540,127$40,000$27,006$80,000$54,013$No800,000$800,000$
Michael McLeodPHILADELPHIA PHANTOMS (PHI)C/LW252/3/1998 7:24:21 AMNo202 Lbs6 ft4NoNoNoYes2Pro & Farm775,000$523,248$40,000$27,006$77,500$52,325$No775,000$
Morgan KlimchukPHILADELPHIA PHANTOMS (PHI)LW286/22/1995 2:02:23 AMNo185 Lbs6 ft0NoNoNoYes3Pro & Farm845,000$570,510$40,000$27,006$84,500$57,051$No845,000$845,000$
Nikita OkhotiukPHILADELPHIA PHANTOMS (PHI)D2212/4/2000 7:12:31 AMYes206 Lbs6 ft0NoNoNoNo3Pro & Farm500,000$337,580$40,000$27,006$50,000$33,758$No500,000$500,000$
Ryan MacInnisPHILADELPHIA PHANTOMS (PHI)C/LW/RW272/14/1996 5:15:39 AMNo202 Lbs6 ft6NoNoNoYes4Pro & Farm775,000$523,248$40,000$27,006$77,500$52,325$No775,000$775,000$775,000$
Taylor CammarataPHILADELPHIA PHANTOMS (PHI)C/LW/RW285/13/1995 7:40:01 AMNo181 Lbs5 ft8NoNoNoYes1Pro & Farm600,000$405,096$40,000$27,006$60,000$40,510$No
Tyler BoucherPHILADELPHIA PHANTOMS (PHI)RW201/16/2003 7:22:23 AMYes209 Lbs6 ft4NoNoNoNo2Pro & Farm800,000$540,127$40,000$27,006$80,000$54,013$No800,000$
Ville HussoPHILADELPHIA PHANTOMS (PHI)G282/6/1995 6:58:28 AMNo197 Lbs6 ft2NoNoNoYes1Pro & Farm870,000$587,389$40,000$27,006$87,000$58,739$No
Vincent TrocheckPHILADELPHIA PHANTOMS (PHI)C307/11/1993 9:24:18 AMNo209 Lbs6 ft0NoNoNoYes2Pro & Farm1,075,000$725,796$40,000$27,006$107,500$72,580$No1,075,000$
Zachary BolducPHILADELPHIA PHANTOMS (PHI)C/LW/RW202/24/2003 7:52:13 AMYes179 Lbs6 ft4NoNoNoNo2Pro & Farm800,000$540,127$40,000$27,006$80,000$54,013$No800,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3126.87203 Lbs6 ft22.13815,410$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vincent TrocheckKyle BeachMatthew Poitras38014
2Morgan KlimchukMichael McLeodBeau Bennett35014
3Ryan MacInnisDavid GustafssonJames Neal17023
4Dale WeiseZachary BolducJonathan Lekkerimäki10023
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisEgor Zamula40014
2Alexander NikishinMalte Setkov35014
3Lassi ThomsonNikita Okhotiuk20023
4Bruno GervaisAleksi Heimosalmi5032
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Vincent TrocheckKyle BeachMatthew Poitras60005
2Ryan MacInnisMichael McLeodBeau Bennett40005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisJonathan Lekkerimäki60005
2Malte SetkovAlexander Nikishin40005
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Kyle BeachBeau Bennett60041
2Michael McLeodVincent Trocheck40041
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisNikita Okhotiuk60041
2Lassi ThomsonAlexander Nikishin40041
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael McLeod60122Bruno GervaisNikita Okhotiuk60122
2Vincent Trocheck40122Egor ZamulaLassi Thomson40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Ryan MacInnisMatthew Poitras60122
2Zachary BolducDavid Gustafsson40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bruno GervaisNikita Okhotiuk60122
2Lassi ThomsonEgor Zamula40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
James NealKyle BeachVincent TrocheckBruno GervaisMalte Setkov
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Beau BennettKyle BeachVincent TrocheckBruno GervaisMalte Setkov
Extra Forwards
Normal PowerPlayPenalty Kill
Jonathan Lekkerimäki, Matthew Poitras, Ryan MacInnisJames Neal, Morgan KlimchukRyan MacInnis
Extra Defensemen
Normal PowerPlayPenalty Kill
Nikita Okhotiuk, Egor Zamula, Alexander NikishinEgor ZamulaEgor Zamula, Malte Setkov
Penalty Shots
Vincent Trocheck, Kyle Beach, Michael McLeod, Ryan MacInnis, Matthew Poitras
Goalie
#1 : Marcus Hogberg, #2 : Ville Husso
Custom OT Lines Forwards
Kyle Beach, Ryan MacInnis, Vincent Trocheck, Morgan Klimchuk, Beau Bennett, James Neal, James Neal, Michael McLeod, Matthew Poitras, Zachary Bolduc,
Custom OT Lines Defensemen
Bruno Gervais, Malte Setkov, Lassi Thomson, Egor Zamula, Alexander Nikishin


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
1BANGOR PUPPIES42101000191272010100079-222000000123960.75019304900224243112628032130161364738696233.33%9277.78%028661746.35%33567149.93%23146150.11%631372615256500250
2BROOKLYN GRINDERS11000000431000000000001100000043121.000471100224243129280321301632134245240.00%20100.00%028661746.35%33567149.93%23146150.11%631372615256500250
3CALGARY WRANGLERS1010000036-31010000036-30000000000000.00035800224243142280321301639114213266.67%220.00%028661746.35%33567149.93%23146150.11%631372615256500250
4CAPE BRETON LEPRECHAUNS11000000211000000000001100000021121.0002240022424312828032130163010214400.00%10100.00%028661746.35%33567149.93%23146150.11%631372615256500250
5CAPE FEAR WILDCATS11000000312110000003120000000000021.0003580022424313728032130162815524300.00%000%028661746.35%33567149.93%23146150.11%631372615256500250
6CHICAGO UNDERTAKERS632000012122-1321000001211131100001911-270.583213556002242431193280321301619963241277114.29%12283.33%028661746.35%33567149.93%23146150.11%631372615256500250
7COLORADO CUBS11000000523000000000001100000052321.0005914002242431282803213016347192311100.00%2150.00%028661746.35%33567149.93%23146150.11%631372615256500250
8COQUITLAM EXPRESS11000000431110000004310000000000021.000481200224243133280321301628101320300.00%4175.00%028661746.35%33567149.93%23146150.11%631372615256500250
9DETROIT STEELERS31100100131122110000011831000010023-130.50013223500224243189280321301680371246622522.73%12375.00%028661746.35%33567149.93%23146150.11%631372615256500250
10EDMONTON OILERS1010000036-31010000036-30000000000000.00034700224243135280321301628862310330.00%2150.00%028661746.35%33567149.93%23146150.11%631372615256500250
11HALIFAX HELL1010000023-1000000000001010000023-100.00024600224243123280321301632157021400.00%5180.00%028661746.35%33567149.93%23146150.11%631372615256500250
12LAS CRUCES MESCALEROS220000001037110000006151100000042241.000101626002242431622803213016583038402150.00%4175.00%028661746.35%33567149.93%23146150.11%631372615256500250
13NORTH VAN ROCKERS211000005501010000024-21100000031220.5005813002242431582803213016562242374125.00%6266.67%028661746.35%33567149.93%23146150.11%631372615256500250
14PENSACOLA BLACK BEARS1010000056-1000000000001010000056-100.000581300224243127280321301640111117100.00%3166.67%028661746.35%33567149.93%23146150.11%631372615256500250
15PINCHER CREEK WOLVERINES11000000422000000000001100000042221.00047110022424312828032130162610421100.00%20100.00%028661746.35%33567149.93%23146150.11%631372615256500250
16SAN JOSE AVACADOES1010000024-21010000024-20000000000000.000235102242431382803213016174429100.00%20100.00%028661746.35%33567149.93%23146150.11%631372615256500250
17VANCOUVER THOUSANDAIRES1000010034-1000000000001000010034-110.5003580022424312928032130163413221200.00%10100.00%028661746.35%33567149.93%23146150.11%631372615256500250
Total29151001201108941414670100053530159300201554114350.6031081782861022424319052803213016897326410597791822.78%691775.36%028661746.35%33567149.93%23146150.11%631372615256500250
_Since Last GM Reset29151001201108941414670100053530159300201554114350.6031081782861022424319052803213016897326410597791822.78%691775.36%028661746.35%33567149.93%23146150.11%631372615256500250
_Vs Conference20106012018066141054010004236610520020138308250.625801322120022424316172803213016631233292397471021.28%511276.47%028661746.35%33567149.93%23146150.11%631372615256500250
_Vs Division16850110168541484301000362978420010132257200.62568111179002242431497280321301651318823531938923.68%40977.50%028661746.35%33567149.93%23146150.11%631372615256500250

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2935W110817828690589732641059710
All Games
GPWLOTWOTL SOWSOLGFGA
291510120110894
Home Games
GPWLOTWOTL SOWSOLGFGA
146710005353
Visitor Games
GPWLOTWOTL SOWSOLGFGA
159302015541
Last 10 Games
WLOTWOTL SOWSOL
530101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
791822.78%691775.36%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
28032130162242431
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
28661746.35%33567149.93%23146150.11%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
631372615256500250


Last Played Games
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
DayGame Visitor Team Score Home Team Score ST OT SO RI Link
12PHILADELPHIA PHANTOMS4LAS CRUCES MESCALEROS2AWBoxScore
315PHILADELPHIA PHANTOMS5PENSACOLA BLACK BEARS6ALBoxScore
420DETROIT STEELERS3PHILADELPHIA PHANTOMS7BWR5BoxScore
633PHILADELPHIA PHANTOMS2CHICAGO UNDERTAKERS4ALBoxScore
843EDMONTON OILERS6PHILADELPHIA PHANTOMS3BLBoxScore
1060BANGOR PUPPIES6PHILADELPHIA PHANTOMS3BLBoxScore
1269PHILADELPHIA PHANTOMS3NORTH VAN ROCKERS1AWBoxScore
1380CHICAGO UNDERTAKERS2PHILADELPHIA PHANTOMS4BWBoxScore
1487PHILADELPHIA PHANTOMS6BANGOR PUPPIES1AWBoxScore
16102SAN JOSE AVACADOES4PHILADELPHIA PHANTOMS2BLBoxScore
17105PHILADELPHIA PHANTOMS4CHICAGO UNDERTAKERS3AWBoxScore
21126PHILADELPHIA PHANTOMS6BANGOR PUPPIES2AWBoxScore
22130COQUITLAM EXPRESS3PHILADELPHIA PHANTOMS4BWBoxScore
25146CHICAGO UNDERTAKERS5PHILADELPHIA PHANTOMS6BWBoxScore
26156PHILADELPHIA PHANTOMS2DETROIT STEELERS3ALXR5BoxScore
28168DETROIT STEELERS5PHILADELPHIA PHANTOMS4BLBoxScore
30181PHILADELPHIA PHANTOMS4BROOKLYN GRINDERS3AWBoxScore
31187PHILADELPHIA PHANTOMS5COLORADO CUBS2AWBoxScore
32196NORTH VAN ROCKERS4PHILADELPHIA PHANTOMS2BLBoxScore
35212PHILADELPHIA PHANTOMS2HALIFAX HELL3ALBoxScore
36217LAS CRUCES MESCALEROS1PHILADELPHIA PHANTOMS6BWBoxScore
38231BANGOR PUPPIES3PHILADELPHIA PHANTOMS4BWXBoxScore
40244PHILADELPHIA PHANTOMS3VANCOUVER THOUSANDAIRES4ALXBoxScore
42252PHILADELPHIA PHANTOMS3CHICAGO UNDERTAKERS4ALXXBoxScore
43261CAPE FEAR WILDCATS1PHILADELPHIA PHANTOMS3BWBoxScore
45274PHILADELPHIA PHANTOMS4PINCHER CREEK WOLVERINES2AWBoxScore
47286CALGARY WRANGLERS6PHILADELPHIA PHANTOMS3BLBoxScore
49301CHICAGO UNDERTAKERS4PHILADELPHIA PHANTOMS2BLBoxScore
51312PHILADELPHIA PHANTOMS2CAPE BRETON LEPRECHAUNS1AWBoxScore
53323CALGARY WRANGLERS-PHILADELPHIA PHANTOMS-
54331PHILADELPHIA PHANTOMS-DETROIT STEELERS-
56342BANGOR PUPPIES-PHILADELPHIA PHANTOMS-
58352PHILADELPHIA PHANTOMS-BANGOR PUPPIES-
60365DETROIT STEELERS-PHILADELPHIA PHANTOMS-
63377PHILADELPHIA PHANTOMS-VANCOUVER THOUSANDAIRES-
65387PHILADELPHIA PHANTOMS-PINCHER CREEK WOLVERINES-
66394MANHATTAN SWEDES-PHILADELPHIA PHANTOMS-
68410HALIFAX HELL-PHILADELPHIA PHANTOMS-
71423COLORADO CUBS-PHILADELPHIA PHANTOMS-
73435PHILADELPHIA PHANTOMS-CAPE FEAR WILDCATS-
74445NEWTON NIGHTHAWKS-PHILADELPHIA PHANTOMS-
76451PHILADELPHIA PHANTOMS-CHICAGO UNDERTAKERS-
78467PHILADELPHIA PHANTOMS-BROOKLYN GRINDERS-
80475VANCOUVER THOUSANDAIRES-PHILADELPHIA PHANTOMS-
81489HALIFAX HELL-PHILADELPHIA PHANTOMS-
83498PHILADELPHIA PHANTOMS-SAN JOSE AVACADOES-
85511PHILADELPHIA PHANTOMS-EDMONTON OILERS-
86519COLORADO CUBS-PHILADELPHIA PHANTOMS-
89535NEWTON NIGHTHAWKS-PHILADELPHIA PHANTOMS-
91543PHILADELPHIA PHANTOMS-CALGARY WRANGLERS-
92551PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
95563PHILADELPHIA PHANTOMS-CALGARY WRANGLERS-
96570NORTH VAN ROCKERS-PHILADELPHIA PHANTOMS-
98582CAPE BRETON LEPRECHAUNS-PHILADELPHIA PHANTOMS-
100594PHILADELPHIA PHANTOMS-CAPE FEAR WILDCATS-
102605PINCHER CREEK WOLVERINES-PHILADELPHIA PHANTOMS-
103615PHILADELPHIA PHANTOMS-NORTH VAN ROCKERS-
104624PHILADELPHIA PHANTOMS-PENSACOLA BLACK BEARS-
106636LAS CRUCES MESCALEROS-PHILADELPHIA PHANTOMS-
108645PHILADELPHIA PHANTOMS-NEWTON NIGHTHAWKS-
110656VANCOUVER THOUSANDAIRES-PHILADELPHIA PHANTOMS-
111666PHILADELPHIA PHANTOMS-NEWTON NIGHTHAWKS-
113678CAPE BRETON LEPRECHAUNS-PHILADELPHIA PHANTOMS-
115691PHILADELPHIA PHANTOMS-NORTH VAN ROCKERS-
116699SYRACUSE BABY BULLS-PHILADELPHIA PHANTOMS-
119711PHILADELPHIA PHANTOMS-PENSACOLA BLACK BEARS-
120724SAN JOSE AVACADOES-PHILADELPHIA PHANTOMS-
122735PHILADELPHIA PHANTOMS-LAS CRUCES MESCALEROS-
124745PENSACOLA BLACK BEARS-PHILADELPHIA PHANTOMS-
Trade Deadline --- Trades can’t be done after this day is simulated!
125752PHILADELPHIA PHANTOMS-HAWAII PUNCH-
127766MANHATTAN SWEDES-PHILADELPHIA PHANTOMS-
129779PHILADELPHIA PHANTOMS-MANHATTAN SWEDES-
131787PHILADELPHIA PHANTOMS-SYRACUSE BABY BULLS-
132792BROOKLYN GRINDERS-PHILADELPHIA PHANTOMS-
134808PHILADELPHIA PHANTOMS-COQUITLAM EXPRESS-
135814PENSACOLA BLACK BEARS-PHILADELPHIA PHANTOMS-
137831PHILADELPHIA PHANTOMS-COQUITLAM EXPRESS-
138836EDMONTON OILERS-PHILADELPHIA PHANTOMS-
140847PHILADELPHIA PHANTOMS-SYRACUSE BABY BULLS-
142858EDMONTON OILERS-PHILADELPHIA PHANTOMS-
145870PHILADELPHIA PHANTOMS-HAWAII PUNCH-
146879COQUITLAM EXPRESS-PHILADELPHIA PHANTOMS-
151902HAWAII PUNCH-PHILADELPHIA PHANTOMS-
155914HAWAII PUNCH-PHILADELPHIA PHANTOMS-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price6436
Attendance16,5137,548
Attendance PCT58.98%53.91%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
28 1719 - 57.29% 80,691$1,129,676$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,280,427$ 2,527,772$ 124,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
2,527,772$ 822,071$ 31 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,259,352$ 106 25,088$ 2,659,328$




PHILADELPHIA 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

PHILADELPHIA PHANTOMS Goalies Stat Leaders (Regular Season)

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

PHILADELPHIA 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

PHILADELPHIA 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

PHILADELPHIA PHANTOMS Goalies Stat Leaders (Play-Off)

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