Please rotate your device to landscape mode for a better experience.
Login

Phantoms
GP: 4 | W: 1 | L: 3 | OTL: 0 | P: 2
GF: 14 | GA: 20 | PP%: 20.83% | PK%: 61.54%
GM : Bela Michalski | Morale : 97 | Team Overall : N/A
Next Games #79 vs Norsemen

Game Center
Phantoms
1-3-0, 2pts
4
FINAL
6 Americans
2-1-0, 4pts
Team Stats
L2StreakW1
1-1-0Home Record1-1-0
0-2-0Home Record1-0-0
1-3-0Last 10 Games2-1-0
3.50Goals Per Game4.67
5.00Goals Against Per Game3.67
20.83%Power Play Percentage41.67%
61.54%Penalty Kill Percentage76.47%
Phantoms
1-3-0, 2pts
1
FINAL
6 Norsemen
3-0-1, 7pts
Team Stats
L2StreakW1
1-1-0Home Record2-0-0
0-2-0Home Record1-0-1
1-3-0Last 10 Games3-0-1
3.50Goals Per Game3.50
5.00Goals Against Per Game2.00
20.83%Power Play Percentage40.00%
61.54%Penalty Kill Percentage100.00%
Norsemen
3-0-1, 7pts
Day 11
Phantoms
1-3-0, 2pts
Team Stats
W1StreakL2
2-0-0Home Record1-1-0
1-0-1Away Record0-2-0
3-0-1Last 10 Games1-3-0
3.50Goals Per Game3.50
2.00Goals Against Per Game3.50
40.00%Power Play Percentage20.83%
100.00%Penalty Kill Percentage61.54%
Phantoms
1-3-0, 2pts
Day 14
Senators
0-1-1, 1pts
Team Stats
L2StreakL1
1-1-0Home Record0-1-1
0-2-0Away Record0-0-0
1-3-0Last 10 Games0-1-1
3.50Goals Per Game2.50
5.00Goals Against Per Game2.50
20.83%Power Play Percentage30.00%
61.54%Penalty Kill Percentage83.33%
Whalers
2-2-0, 4pts
Day 15
Phantoms
1-3-0, 2pts
Team Stats
W1StreakL2
1-1-0Home Record1-1-0
1-1-0Away Record0-2-0
2-2-0Last 10 Games1-3-0
3.50Goals Per Game3.50
3.25Goals Against Per Game3.50
28.57%Power Play Percentage20.83%
57.14%Penalty Kill Percentage61.54%
Team Leaders
Goals
Matt Martin
3
Assists
Patrick Brown
3
Points
Patrick Brown
4
Plus/Minus
Patrick Brown
2
Wins
Josef Korenar
1
Save Percentage
Josef Korenar
0.861

Team Stats
Goals For
14
3.50 GFG
Shots For
132
33.00 Avg
Power Play Percentage
20.8%
5 GF
Offensive Zone Start
37.7%
Goals Against
20
5.00 GAA
Shots Against
153
38.25 Avg
Penalty Kill Percentage
61.5%%
5 GA
Defensive Zone Start
37.0%
Team Info

General ManagerBela Michalski
CoachJim Hiller
DivisionNorth Division
ConferenceEastern Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity8,000
Attendance5,336
Season Tickets800


Roster Info

Pro Team30
Farm Team20
Contract Limit50 / 65
Prospects13


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 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
1Brady StonehouseXX100.0060606060607070606060606060445709600203650,000$
2Dalton BancroftXX100.0060606060607070606060606060465809700233650,000$
3Patrick BrownXX100.0073509170827792696470687365717309600321650,000$
4Kurtis MacDermidXX100.0074648561887577656165656965576109800301650,000$
5Alexandre DoucetXXX100.0060606060607070606060606060495609600221771,750$
6Elliot DesnoyersXX100.0060606060607070606060606060505809600221735,000$
7Danil GushchinXX100.0060508973627991696168696765465809600221866,250$
8Joey AndersonXX100.00665095627879856764656578655564086002611,700,000$
9Matt MartinXX100.0080589263817579676265657265756709300351650,000$
10Matthew SopXX100.0060606060607070606060606060415609600211650,000$
11Israel MianscumXXX100.0060606060607070606060606060405509700211650,000$
12Jeremy WilmerXX100.0060606060607070606060606060405509600212650,000$
13Ben RobertsonX100.0060606060607070606060606060445709300203650,000$
14Grant HuttonX100.0062508561808083652566647365576609300293650,000$
15Logan MaillouxX100.00625084708183926525666471664156090002121,312,500$
16Billy SweezeyX100.0060606060607070606060606060626409500283650,000$
17Tom Willander (R)X100.00606060606070706060606060604455097001931,500,000$
18Sam Dickinson (R)X100.00606060606070706060606060604655096001831,500,000$
Scratches
1Riley ThompsonX100.0060606060607070606060606060425609500223650,000$
2Santeri HuovilaX100.0060606060607070606060606060445709500203650,000$
3Hudson SchandorXX100.0060606060607070606060606060405509500241650,000$
4Tyson BarrieX100.00635092867485777825756569656967095003316,270,000$
5Jimi SuomiX100.0060606060607070606060606060405509500211675,000$
6Lucas OlvestadX100.0060606060607070606060606060405509500221650,000$
7Luca Munzenberger (R)X100.0060606060607070606060606060485509500222750,000$
8Viktor Hurtig (R)X100.0060606060607070606060606060465509500222650,000$
TEAM AVERAGE100.006258696366737463566262646249590950
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
1Josef Korenar97.006070706060606060606060576609600261682,500$
2Georgi Romanov100.006070706060606060606060415509600251682,500$
Scratches
1Lawton Zacher100.006070706060606060606060445909700213650,000$
2Jack Campbell100.0060707060606060606060606974097003211,850,000$
TEAM AVERAGE99.25607070606060606060606053640970
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Jim Hiller7989809169731CAN561600,000$


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
1Patrick BrownPhantoms (PHI)C/RW41342005717395.88%05313.2800003000010055.32%4701001.5100000001
2Kurtis MacDermidPhantoms (PHI)LW/RW4224-4322099155413.33%16516.2922441400007100%330001.2300202010
3Danil GushchinPhantoms (PHI)LW/RW413410061193105.26%25714.2800000000000042.86%731001.4000000100
4Matt MartinPhantoms (PHI)LW/RW43140175831331023.08%55914.750000000000000%341001.3600010100
5Dalton BancroftPhantoms (PHI)LW/RW42131755863333.33%25814.5511217000020044.44%900001.0300100000
6Alexandre DoucetPhantoms (PHI)C/LW/RW4033115156106450%36917.31011114000190052.63%9532000.8700102000
7Israel MianscumPhantoms (PHI)C/LW/RW4033-61210857550%27117.87011013000170047.44%7811000.8400200000
8Brady StonehousePhantoms (PHI)LW/RW4112-210109972814.29%07619.22011114000090050.00%411000.5200002000
9Joey AndersonPhantoms (PHI)LW/RW41120004640325.00%0307.580000000000000%010001.3200000000
10Logan MaillouxPhantoms (PHI)D4022-222104111110%67418.5901101300006000%032000.5400020000
11Matthew SopPhantoms (PHI)C/LW4112-2004451420.00%0389.7000000000000050.00%2200001.0300000000
12Grant HuttonPhantoms (PHI)D4011-2554710240%710827.1300021600009000%043000.1800010000
13Elliot DesnoyersPhantoms (PHI)LW/RW4101-3957454520.00%25814.64101214000000060.00%500000.3400001000
14Billy SweezeyPhantoms (PHI)D4011-42020691230%57819.70011015000011000%002000.2500211000
15Jeremy WilmerPhantoms (PHI)LW/RW4101-615152254320.00%26015.13101413000000125.00%830000.3300003000
16Tom WillanderPhantoms (PHI)D401102715642200%16817.1801101200002000%001000.2900102000
17Ben RobertsonPhantoms (PHI)D4000-475636200%59423.500001500017000%00500000010000
18Sam DickinsonPhantoms (PHI)D4000055143100%35513.960000000000000%01200000100000
Team Total or Average72142438-30203145100106132477710.61%46117816.375914161580003761149.11%2812722000.640010613211
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
1Josef KorenarPhantoms (PHI)41300.8615.48219002014482000040001
2Georgi RomanovPhantoms (PHI)10001.00002000095000004000
Team Total or Average51300.8695.0223900201538700044001


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 Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
Alexandre DoucetPhantoms (PHI)C/LW/RW222002-01-12CANNo187 Lbs6 ft0NoNoTrade2025-07-02NoNo12025-09-08FalseFalsePro & Farm771,750$743,015$77,175$74,301$No---------------------------
Ben RobertsonPhantoms (PHI)D202004-09-18USANo192 Lbs5 ft9NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Billy SweezeyPhantoms (PHI)D281996-02-06USANo206 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-08FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Brady StonehousePhantoms (PHI)LW/RW202004-08-06CANNo194 Lbs5 ft8NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Dalton BancroftPhantoms (PHI)LW/RW232001-02-26CANNo212 Lbs6 ft1NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Danil GushchinPhantoms (PHI)LW/RW222002-02-06RUSNo165 Lbs5 ft8NoNoN/ANoNo12024-08-31FalseFalsePro & Farm866,250$833,996$86,625$83,400$No---------------------------
Elliot DesnoyersPhantoms (PHI)LW/RW222002-01-21CANNo183 Lbs5 ft11NoNoN/ANoNo12024-08-31FalseFalsePro & Farm735,000$707,633$73,500$70,763$No---------------------------
Georgi RomanovPhantoms (PHI)G251999-12-15RUSNo207 Lbs6 ft5NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Grant HuttonPhantoms (PHI)D291995-07-25USANo210 Lbs6 ft3NoNoAssign ManuallyNoNo32025-11-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Hudson SchandorPhantoms (PHI)C/LW242000-09-29CANNo100 Lbs4 ft0NoNoFree AgentNoNo12025-07-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Israel MianscumPhantoms (PHI)C/LW/RW212003-04-18CANNo198 Lbs6 ft1NoNoTrade2025-07-02NoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Jack CampbellPhantoms (PHI)G321992-01-09USANo207 Lbs6 ft3NoNoTrade2025-11-10NoNo1FalseFalsePro & Farm1,850,000$1,781,117$185,000$178,112$No---------------------------
Jeremy WilmerPhantoms (PHI)LW/RW212003-08-16USANo100 Lbs4 ft0NoNoFree AgentNoNo22025-07-04FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Jimi SuomiPhantoms (PHI)D212003-03-01FINNo165 Lbs5 ft10NoNoTrade2025-07-04NoNo1FalseFalsePro & Farm675,000$649,867$67,500$64,987$No---------------------------
Joey AndersonPhantoms (PHI)LW/RW261998-06-19USANo207 Lbs6 ft0NoNoN/ANoNo12024-08-31FalseFalsePro & Farm1,700,000$1,636,702$170,000$163,670$No---------------------------
Josef KorenarPhantoms (PHI)G261998-01-31CZENo185 Lbs6 ft1NoNoN/ANoNo12025-09-08FalseFalsePro & Farm682,500$657,088$68,250$65,709$No---------------------------
Kurtis MacDermidPhantoms (PHI)LW/RW301994-03-25CANNo233 Lbs6 ft5NoNoTrade2025-11-10NoNo12025-06-26FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Lawton ZacherPhantoms (PHI)G212003-12-01USANo179 Lbs6 ft0NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Logan MaillouxPhantoms (PHI)D212003-04-15CANNo213 Lbs6 ft3NoNoN/ANoNo22025-09-08FalseFalsePro & Farm1,312,500$1,263,630$131,250$126,363$No1,312,500$--------1,312,500$--------No--------
Luca MunzenbergerPhantoms (PHI)D222002-11-24GERYes201 Lbs6 ft0NoNoProspectNoNo22025-08-20FalseFalsePro & Farm750,000$722,074$75,000$72,207$No750,000$--------750,000$--------No--------
Lucas OlvestadPhantoms (PHI)D222002-03-19SWENo190 Lbs6 ft1NoNoFree AgentNoNo12025-07-05FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Matt Martin (1 Way Contract)Phantoms (PHI)LW/RW351989-05-08CANNo215 Lbs6 ft3NoNoFree AgentNoNo12025-06-09FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Matthew SopPhantoms (PHI)C/LW212003-02-04CANNo183 Lbs6 ft0NoNoTrade2025-07-02NoNo1FalseFalsePro & Farm650,000$625,798$65,000$62,580$No---------------------------
Patrick Brown (1 Way Contract)Phantoms (PHI)C/RW321992-05-29USANo218 Lbs6 ft1NoNoFree AgentNoNo12025-06-26FalseFalsePro & Farm650,000$625,538$650,000$625,538$No---------------------------
Riley ThompsonPhantoms (PHI)C222002-08-17CANNo216 Lbs6 ft2NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Sam DickinsonPhantoms (PHI)D182006-06-07CANYes209 Lbs6 ft1NoNoDraftNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Santeri HuovilaPhantoms (PHI)LW202004-07-16FINNo172 Lbs5 ft10NoNoAssign ManuallyNoNo32025-11-16FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$650,000$-------650,000$650,000$-------NoNo-------
Tom WillanderPhantoms (PHI)D192005-02-09SWEYes190 Lbs5 ft11NoNoProspectNoNo32025-08-20FalseFalsePro & Farm1,500,000$1,444,149$150,000$144,415$No1,500,000$1,500,000$-------1,500,000$1,500,000$-------NoNo-------
Tyson BarriePhantoms (PHI)D331991-07-26CANNo197 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm6,270,000$6,036,543$627,000$603,654$No---------------------------
Viktor HurtigPhantoms (PHI)D222002-04-28SWEYes198 Lbs6 ft4NoNoProspectNoNo22025-08-20FalseFalsePro & Farm650,000$625,798$65,000$62,580$No650,000$--------650,000$--------No--------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3024.00191 Lbs5 ft111.801,011,517$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brady StonehouseAlexandre DoucetMatt Martin28122
2Kurtis MacDermidIsrael MianscumJeremy Wilmer28122
3Dalton BancroftPatrick BrownDanil Gushchin25122
4Elliot DesnoyersMatthew SopJoey Anderson19122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben RobertsonGrant Hutton28122
2Logan MaillouxBilly Sweezey28122
3Tom WillanderSam Dickinson25122
4Ben RobertsonGrant Hutton19122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brady StonehouseAlexandre DoucetElliot Desnoyers50122
2Kurtis MacDermidIsrael MianscumJeremy Wilmer50122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Tom WillanderGrant Hutton50122
2Logan MaillouxBilly Sweezey50122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alexandre DoucetBrady Stonehouse50122
2Israel MianscumKurtis MacDermid50122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Tom WillanderGrant Hutton50122
2Logan MaillouxBilly Sweezey50122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alexandre Doucet50122Ben RobertsonGrant Hutton50122
2Israel Mianscum50122Logan MaillouxBilly Sweezey50122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexandre DoucetBrady Stonehouse50122
2Israel MianscumKurtis MacDermid50122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ben RobertsonGrant Hutton50122
2Logan MaillouxBilly Sweezey50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brady StonehouseAlexandre DoucetMatt MartinBen RobertsonGrant Hutton
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brady StonehouseAlexandre DoucetJeremy WilmerBen RobertsonGrant Hutton
Extra Forwards
Normal PowerPlayPenalty Kill
Matt Martin, Elliot Desnoyers, Danil GushchinDalton Bancroft, Elliot DesnoyersDalton Bancroft
Extra Defensemen
Normal PowerPlayPenalty Kill
Billy Sweezey, Tom Willander, Sam DickinsonBilly SweezeyBilly Sweezey, Tom Willander
Penalty Shots
Alexandre Doucet, Israel Mianscum, Brady Stonehouse, Kurtis MacDermid, Matthew Sop
Goalie
#1 : Josef Korenar, #2 : Georgi Romanov


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
1Americans1010000046-2000000000001010000046-200.0004610001760253951420371664235120.00%6350.00%05210649.06%5210450.00%347147.89%824385407136
2Norsemen1010000016-5000000000001010000016-500.0001230017603739514203694021400.00%000%05210649.06%5210450.00%347147.89%824385407136
3Wolves21100000981211000009810000000000020.500916250017607039514208021995615426.67%7271.43%05210649.06%5210450.00%347147.89%824385407136
Total413000001420-62110000098120200000512-720.25014243800176013239514201534620310024520.83%13561.54%05210649.06%5210450.00%347147.89%824385407136
_Since Last GM Reset413000001420-62110000098120200000512-720.25014243800176013239514201534620310024520.83%13561.54%05210649.06%5210450.00%347147.89%824385407136
_Vs Conference413000001420-62110000098120200000512-720.25014243800176013239514201534620310024520.83%13561.54%05210649.06%5210450.00%347147.89%824385407136

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
42L21424381321534620310000
All Games
GPWLOTWOTL SOWSOLGFGA
41300001420
Home Games
GPWLOTWOTL SOWSOLGFGA
211000098
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2020000512
Last 10 Games
WLOTWOTL SOWSOL
130000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
24520.83%13561.54%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
39514201760
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
5210649.06%5210450.00%347147.89%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
824385407136


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
318Wolves5Phantoms4LBoxScore
533Wolves3Phantoms5WBoxScore
642Phantoms4Americans6LBoxScore
750Phantoms1Norsemen6LBoxScore
1179Norsemen-Phantoms-
14100Phantoms-Senators-
15110Whalers-Phantoms-
16120Phantoms-Grisards-
19143Titans-Phantoms-
20146Phantoms-Grisards-
24174Grisards-Phantoms-
26186Phantoms-Moose-
29205Wolves-Phantoms-
33232Crunch-Phantoms-
34238Phantoms-Whalers-
38265Moose-Phantoms-
41287Phantoms-Penguins-
43298Titans-Phantoms-
46321Roadrunners-Phantoms-
48335Phantoms-Bills-
50350Phantoms-Penguins-
51361Grisards-Phantoms-
54380Phantoms-Reign-
55392White Wolves-Phantoms-
58416Phantoms-Gulls-
60424Moose-Phantoms-
62444Phantoms-Moose-
64454Crunch-Phantoms-
66464Phantoms-Senators-
69489Norsemen-Phantoms-
73513Phantoms-Admirals-
74524Gorillas-Phantoms-
77542Phantoms-Titans-
79553Blood Miners-Phantoms-
81573Phantoms-Norsemen-
83583Wolves-Phantoms-
85598Phantoms-Norsemen-
87613Phantoms-Blossom Bytes-
89624Titans-Phantoms-
91641Phantoms-Rams-
92653Rams-Phantoms-
95671Phantoms-Grisards-
97687Octopus-Phantoms-
99698Phantoms-Moose-
101717Phantoms-Wolf Pack-
102726Blossom Bytes-Phantoms-
104740Phantoms-Blossom Bytes-
106754Whalers-Phantoms-
109771Phantoms-Whalers-
111785Gulls-Phantoms-
114811Phantoms-Wolf Pack-
115818Penguins-Phantoms-
118837Phantoms-Blood Miners-
120849Gulls-Phantoms-
122866Phantoms-Whalers-
124879Redhawks-Phantoms-
126902Phantoms-Reign-
128913Admirals-Phantoms-
130928Phantoms-Bears-
132944Silver Knights-Phantoms-
134957Phantoms-Grisards-
137976Eagles-Phantoms-
138987Phantoms-Bears-
1411009Phantoms-Americans-
1421018Admirals-Phantoms-
1451039Phantoms-Bulldogs-
1461048Phantoms-Americans-
1471053Rams-Phantoms-
1511079Griffins-Phantoms-
1531100Phantoms-Wolves-
1541106Phantoms-Rocket-
1561117Bears-Phantoms-
1591140Phantoms-Senators-
1601149Bears-Phantoms-
1641174Phantoms-Mountaineers-
1651182Americans-Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
1681205Americans-Phantoms-
1731233Wolf Pack-Phantoms-
1751248Phantoms-Saints-
1781263Phantoms-Wolves-
1801275Senators-Phantoms-
1861307Senators-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity25005500
Ticket Price4520
Attendance3,5227,149
Attendance PCT70.44%64.99%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
39 5336 - 66.69% 180,882$361,764$8000110

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
130,487$ 2,904,550$ 2,904,550$ 600,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
18,641$ 130,487$ 27 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
7,054,398$ 181 18,641$ 3,374,021$




Phantoms Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Goalies Stat Leaders (Regular Season)

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

Phantoms Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Phantoms Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Goalies Stat Leaders (Play-Off)

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