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Phantoms
GP: 80 | W: 43 | L: 33 | OTL: 4 | P: 90
GF: 344 | GA: 324 | PP%: 19.38% | PK%: 81.21%
GM : Simon DeChamplain | Morale : 49 | Team Overall : 65
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Game Center
Heat
40-32-8, 88pts
5
FINAL
4 Phantoms
43-33-4, 90pts
Team Stats
W1StreakL2
16-18-6Home Record19-19-2
24-14-2Away Record24-14-2
7-3-0Last 10 Games6-4-0
4.21Goals Per Game4.30
4.39Goals Against Per Game4.05
23.62%Power Play Percentage19.38%
77.43%Penalty Kill Percentage81.21%
Comets
40-29-11, 91pts
4
FINAL
3 Phantoms
43-33-4, 90pts
Team Stats
W1StreakL2
20-12-8Home Record19-19-2
20-17-3Away Record24-14-2
3-5-2Last 10 Games6-4-0
4.08Goals Per Game4.30
3.90Goals Against Per Game4.05
18.36%Power Play Percentage19.38%
78.22%Penalty Kill Percentage81.21%
Team Leaders
Goals
Travis Konecny
65
Assists
Calle Jarnkrok
74
Points
Travis Konecny
135
Plus/Minus
Calle Jarnkrok
18
Wins
Anton Forsberg
35
Save Percentage
Zachary Fucale
0.886

Team Stats
Goals For
344
4.30 GFG
Shots For
2774
34.68 Avg
Power Play Percentage
19.4%
62 GF
Offensive Zone Start
36.1%
Goals Against
324
4.05 GAA
Shots Against
2658
33.23 Avg
Penalty Kill Percentage
81.2%
62 GA
Defensive Zone Start
37.0%
Team Info

General ManagerSimon DeChamplain
CoachKevin Dineen
DivisionFritz-Kraatz
ConferenceRobert-Lebel
CaptainDave Bolland
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,502
Season Tickets300


Roster Info

Pro Team33
Farm Team20
Contract Limit53 / 250
Prospects0


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10textAny text entered in the filter will match text found within the column
# Player Name C L R D CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV TA SPAgeContractSalary
1Calle Jarnkrok (R)X100.006631757475797771817677667263573869720251995,000$
2Michael Bournival (R)X100.007739787778737474687078717765534146720241950,000$
3Travis Konecny (R)X100.006231748363766786686971628145446969700191500,000$
4Sven Andrighetto (R)X100.007734796578747068716478577148484869680233700,000$
5Alex DeBrincat (R)X100.007454847574667465717271577543417970680192500,000$
6Nick Shore (R)X100.005426746969726773827573535852553960670242800,000$
7Cristoval Nieves (R)X100.006626757464677270747668526745464659660222600,000$
8Morgan Klimchuk (R)X100.006432727268737367666966687345434938660213650,000$
9Erik Nystrom (R)X100.006823747074686769676170647348473858650232600,000$
10Lucas Wallmarkk (R)X100.007038716462716172717364636243435859650204600,000$
11David Kampf (R)X100.005742816268686669656571546543465869640211500,000$
12Brendan Leipsic (R)X100.005233686364636064757170526145464457620222500,000$
13Laurent Dauphin (R)X100.007037775967616768576861486543435057610213500,000$
14Nick Sorensen (R)X100.005633757166656662595272527146464969610223525,000$
15JC Lipon (R)X100.007256666569496762645460495448474252590232450,000$
16Anthony Angello (R)X100.004836786062736453646259565042425154580203450,000$
17A.J. Greer (R)X100.005942596566597056575559494944435028570201500,000$
18Jake Dotchin (R)X100.007940787475736167537453755859464641710223800,000$
19Reid McNeill (R)X100.007547787480678173596758706662483928710241650,000$
20Ivan Provorov (R)X100.007147797373726567477165715549427659690191500,000$
21Blake Heinrich (R)X100.006734686870715955457066755146444869660213500,000$
22Brenden Kichton (R)X100.006530766866686666536060716154553557650241400,000$
23Devon Teows (R)X100.007248726764646068496252695147485153650224600,000$
24Rinat Valiev (R)X100.007134786865666471506257655945445656650213500,000$
25Mikko Lehtonen (R)X100.007041745750657175466975546148484969640222500,000$
Scratches
1Brett Murray (R)X100.007436616474536254435360524040407323560182500,000$
2Cooper Marody (R)X100.004234685950585858707154364644425520550201500,000$
3Mark Alt (R)X63.707032736868676855516758805354543139670251400,000$
4Matt Kiersted (R)X100.006345615762535151395340554640406720550182500,000$
5Riley Stillman (R)X100.006539615660545950325550534440407020550182500,000$
TEAM AVERAGE98.79663773676766666560666460614846525164
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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.
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# Goalie Name CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SPAgeContractSalary
1Anton Forsberg100.00737271787378747072747261554067720241500,000$
2Zachary Fucale100.00657555636771707276715644445046680213500,000$
Scratches
1Jason Kasdorf100.00666578636370686864696652524119660241500,000$
TEAM AVERAGE100.0068716868687371707171655250444469
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can484500,000$


Filter Tips
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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 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
1Travis KonecnyPhantoms (Phi)RW806570135156201217241113126215.82%41167720.971618347726900031216349.41%1709127251.61350001377
2Calle JarnkrokPhantoms (Phi)C804374117184801382012958615614.58%64185923.259202938272213122654054.48%26545445041.26150001192
3Nick ShorePhantoms (Phi)C75384482857590822205312117.27%18118415.797132032203000074255.33%8913211021.3900100723
4Michael BournivalPhantoms (Phi)LW66304979126010112962327013812.93%45148722.548142240229224102114256.29%3345922001.0625010444
5Cristoval NievesPhantoms (Phi)C80303262-130069751815512416.57%2793211.660000130000172343.93%4534314001.3300000323
6Alex DeBrincatPhantoms (Phi)LW8023365913355113832055912211.22%33134216.784913162250114354348.57%704823000.8800001345
7Sven AndrighettoPhantoms (Phi)RW80232447332014790149349315.44%26137717.2292112121400031082050.68%733425000.6811000136
8Morgan KlimchukPhantoms (Phi)LW64222345-134062771425210115.49%1173411.48246631000052153.33%302912001.2200000012
9Jake DotchinPhantoms (Phi)D6553843176001061319641495.21%106169026.013710162430221211000.00%03156000.5100000013
10Ivan ProvorovPhantoms (Phi)D8033639-123807910411444412.63%85180522.5704492400115228000.00%03158000.4300000001
11Reid McNeillPhantoms (Phi)D527253212401074807530399.33%77129724.952810171830003175110.00%02352000.4900011013
12Erik NystromPhantoms (Phi)LW76191130-71205438139499013.67%186448.48000011011173036.36%22177000.9300000111
13Lucas WallmarkkPhantoms (Phi)C80101626-9180395310933689.17%75576.9700001000003145.85%2291515000.9300000121
14Nick SorensenPhantoms (Phi)RW8071421020042457416619.46%1789111.1510111000001040.00%202112000.4700000020
15Blake HeinrichPhantoms (Phi)D80016169580711067030270.00%81133116.6401151370000146000.00%01741000.2400000001
16Mark AltPhantoms (Phi)D5531316-1036045915621205.36%61106719.4012361320110120110.00%0845000.3000000011
17Brendan LeipsicPhantoms (Phi)LW715813-38016165714238.77%73194.50000131011332050.00%10155000.8100000000
18Brenden KichtonPhantoms (Phi)D7101313618022453018140.00%4571210.0400002000016000.00%0428000.3601000000
19Rinat ValievPhantoms (Phi)D75371081202758268911.54%3176110.15000233000059100.00%0421000.2600000010
20JC LiponPhantoms (Phi)RW64178-9803116299143.45%104517.0500004000000153.85%1313000.3500000000
21Devon TeowsPhantoms (Phi)D6905591002727177140.00%255528.00000115000042000.00%0318000.1800000000
22David KampfPhantoms (Phi)C8031440073165518.75%11541.93000010000030028.95%3813000.5200000000
23Mikko LehtonenPhantoms (Phi)D80033-12017816240.00%104225.2800002000018000.00%036000.1400000000
24Tomas KubalikFlyersRW11011004050320.00%02121.9700002000020060.00%511000.9100000000
25A.J. GreerPhantoms (Phi)LW47000020151110.00%0571.2200000000147000.00%001000.0000000000
26Anthony AngelloPhantoms (Phi)C70000320353000.00%0951.36000000001750040.00%3001000.0000000000
27Dylan OlsenFlyersD1000300323120.00%12626.450000300002000.00%010000.0000000000
28Laurent DauphinPhantoms (Phi)C71000020923130.00%0881.24000040000580036.00%2501000.0000000000
Team Total or Average18733415659068870430152916112774870160412.29%8472354612.576210216428824846814452033401852.60%50675865532110.77717122444143
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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
1Anton ForsbergPhantoms (Phi)66352020.8794.023388402271876915900.55696416231
2Zachary FucalePhantoms (Phi)2671210.8863.7912512079690355010.33331646000
3Jason KasdorfPhantoms (Phi)61110.8355.0018000159137000.5002018000
Team Total or Average98433340.8794.0048206032126571307910.500148080231


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PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Link
A.J. GreerPhantoms (Phi)LW201996-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Alex DeBrincatPhantoms (Phi)LW191997-01-01Yes165 Lbs5 ft7NoNoNo2Pro & Farm500,000$0$0$No500,000$
Anthony AngelloPhantoms (Phi)C201996-01-01Yes210 Lbs6 ft5NoNoNo3Pro & Farm450,000$0$0$No450,000$450,000$
Anton ForsbergPhantoms (Phi)G241992-01-01No191 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Blake HeinrichPhantoms (Phi)D211995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Brendan LeipsicPhantoms (Phi)LW221994-01-01Yes165 Lbs5 ft8NoNoNo2Pro & Farm500,000$0$0$No500,000$
Brenden KichtonPhantoms (Phi)D241992-01-01Yes185 Lbs5 ft10NoNoNo1Pro & Farm400,000$0$0$No
Brett MurrayPhantoms (Phi)LW181998-01-01Yes216 Lbs6 ft4NoNoNo2Pro & Farm500,000$0$0$No500,000$
Calle JarnkrokPhantoms (Phi)C251991-01-01Yes156 Lbs5 ft11NoNoNo1Pro & Farm995,000$0$0$No
Cooper MarodyPhantoms (Phi)C201996-01-01Yes184 Lbs6 ft0NoNoNo1Pro & Farm500,000$0$0$No
Cristoval NievesPhantoms (Phi)C221994-01-01Yes192 Lbs6 ft2NoNoNo2Pro & Farm600,000$0$0$No600,000$
David KampfPhantoms (Phi)C211995-01-01Yes188 Lbs6 ft2NoNoNo1Pro & Farm500,000$0$0$No
Devon TeowsPhantoms (Phi)D221994-01-01Yes191 Lbs5 ft11NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Erik NystromPhantoms (Phi)LW231993-01-01Yes176 Lbs5 ft11NoNoNo2Pro & Farm600,000$0$0$No600,000$
Ivan ProvorovPhantoms (Phi)D191997-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm500,000$0$0$No
JC LiponPhantoms (Phi)RW231993-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm450,000$0$0$No450,000$
Jake DotchinPhantoms (Phi)D221994-01-01Yes207 Lbs6 ft2NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Jason KasdorfPhantoms (Phi)G241992-01-01No172 Lbs6 ft3NoNoNo1Pro & Farm500,000$0$0$No
Laurent DauphinPhantoms (Phi)C211995-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Lucas WallmarkkPhantoms (Phi)C201996-01-01Yes178 Lbs6 ft0NoNoNo4Pro & Farm600,000$0$0$No700,000$800,000$900,000$
Mark Alt (Out of Payroll)Phantoms (Phi)D251991-01-01Yes201 Lbs6 ft1NoNoNo1Pro & Farm400,000$0$0$Yes
Matt KierstedPhantoms (Phi)D181998-01-01Yes184 Lbs5 ft11NoNoNo2Pro & Farm500,000$0$0$No500,000$
Michael BournivalPhantoms (Phi)LW241992-01-01Yes195 Lbs5 ft11NoNoNo1Pro & Farm950,000$0$0$No
Mikko LehtonenPhantoms (Phi)D221994-01-01Yes196 Lbs6 ft0NoNoNo2Pro & Farm500,000$0$0$No500,000$
Morgan KlimchukPhantoms (Phi)LW211995-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Nick ShorePhantoms (Phi)C241992-01-01Yes194 Lbs6 ft1NoNoNo2Pro & Farm800,000$0$0$No850,000$
Nick SorensenPhantoms (Phi)RW221994-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm525,000$0$0$No525,000$525,000$
Reid McNeillPhantoms (Phi)D241992-01-01Yes210 Lbs6 ft3NoNoNo1Pro & Farm650,000$0$0$No
Riley StillmanPhantoms (Phi)D181998-01-01Yes196 Lbs6 ft1NoNoNo2Pro & Farm500,000$0$0$No500,000$
Rinat ValievPhantoms (Phi)D211995-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Sven AndrighettoPhantoms (Phi)RW231993-01-01Yes185 Lbs5 ft10NoNoNo3Pro & Farm700,000$0$0$No700,000$700,000$
Travis KonecnyPhantoms (Phi)RW191997-01-01Yes175 Lbs5 ft10NoNoNo1Pro & Farm500,000$0$0$No
Zachary FucalePhantoms (Phi)G211995-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm500,000$0$0$No500,000$500,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3321.58188 Lbs6 ft02.03565,758$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael BournivalCalle JarnkrokTravis Konecny40122
2Alex DeBrincatNick ShoreSven Andrighetto30122
3Erik NystromCristoval NievesNick Sorensen20122
4Brendan LeipsicLucas WallmarkkJC Lipon10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake DotchinReid McNeill40122
2Ivan ProvorovBlake Heinrich30122
3Rinat ValievBrenden Kichton20122
4Devon TeowsMikko Lehtonen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael BournivalCalle JarnkrokTravis Konecny60122
2Alex DeBrincatNick ShoreSven Andrighetto40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake DotchinReid McNeill60122
2Ivan ProvorovBlake Heinrich40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael BournivalCalle Jarnkrok60122
2Travis KonecnySven Andrighetto40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake DotchinReid McNeill60122
2Ivan ProvorovBlake Heinrich40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Bournival60122Jake DotchinReid McNeill60122
2Calle Jarnkrok40122Ivan ProvorovBlake Heinrich40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael BournivalCalle Jarnkrok60122
2Travis KonecnySven Andrighetto40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Jake DotchinReid McNeill60122
2Ivan ProvorovBlake Heinrich40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael BournivalCalle JarnkrokTravis KonecnyJake DotchinReid McNeill
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael BournivalCalle JarnkrokTravis KonecnyJake DotchinReid McNeill
Extra Forwards
Normal PowerPlayPenalty Kill
David Kampf, Laurent Dauphin, Anthony AngelloDavid Kampf, Laurent DauphinAnthony Angello
Extra Defensemen
Normal PowerPlayPenalty Kill
Rinat Valiev, Brenden Kichton, Devon TeowsRinat ValievBrenden Kichton, Devon Teows
Penalty Shots
Michael Bournival, Calle Jarnkrok, Travis Konecny, Sven Andrighetto, Alex DeBrincat
Goalie
#1 : Anton Forsberg, #2 : Zachary Fucale


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
OverallHomeVisitor
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT
1Admirals33000000211381100000095422000000128461.0002131520084126130892871941957211033640646233.33%20480.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
2Barracuda3100001112102210000019811000001032150.833121830008412613081048719419572110234265717423.53%13192.31%0946182951.72%989187552.75%730136353.56%169595516987541430709
3Bears22000000853110000003211100000053241.00081523008412613087687194195721771512385120.00%60100.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
4Comets52201000201732110000088031101000129360.600203555008412613081568719419572118074509713646.15%25388.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
5Condors431000002214822000000127521100000107360.750223759008412613081528719419572116349357012325.00%15193.33%0946182951.72%989187552.75%730136353.56%169595516987541430709
6Crunch22000000936110000005141100000042241.00091625008412613087487194195721601816418112.50%8187.50%0946182951.72%989187552.75%730136353.56%169595516987541430709
7Devils2100000113121110000006421000000178-130.750131831008412613088887194195721621712326233.33%6183.33%0946182951.72%989187552.75%730136353.56%169595516987541430709
8Eagles21100000910-11010000037-41100000063320.50091322008412613086887194195721621516418337.50%8275.00%1946182951.72%989187552.75%730136353.56%169595516987541430709
9Griffins404000001122-111010000034-130300000818-1000.000111728008412613081238719419572113836287711327.27%14285.71%0946182951.72%989187552.75%730136353.56%169595516987541430709
10Heat6330000028262303000001316-3330000001510560.500284977008412613081828719419572119172739933618.18%30583.33%0946182951.72%989187552.75%730136353.56%169595516987541430709
11Icehogs532000002222020200000815-733000000147760.6002237590084126130818187194195721175552810816318.75%14378.57%0946182951.72%989187552.75%730136353.56%169595516987541430709
12Little Stars21100000710-31010000015-41100000065120.5007121900841261308738719419572177223531300.00%10280.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
13Marlies73300010272434220000015141311000101210280.571274471008412613082468719419572122085381413825.26%20385.00%1946182951.72%989187552.75%730136353.56%169595516987541430709
14Monsters321000001611511000000615211000001010040.66716284400841261308115871941957218634405410220.00%15380.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
15Moose32100000141042200000010461010000046-240.6671423371084126130811887194195721834016639111.11%80100.00%1946182951.72%989187552.75%730136353.56%169595516987541430709
16Penguins20200000814-61010000038-51010000056-100.00081523008412613086887194195721631524391218.33%12741.67%0946182951.72%989187552.75%730136353.56%169595516987541430709
17Punishers2010010058-31000010023-11010000035-210.2505611008412613087287194195721732412367114.29%6183.33%0946182951.72%989187552.75%730136353.56%169595516987541430709
18Rampage21100000550110000003211010000023-120.50057120084126130880871941957216312183612433.33%9188.89%0946182951.72%989187552.75%730136353.56%169595516987541430709
19Reign651000003119123210000016115330000001587100.8333153840084126130819687194195721200407012130310.00%33875.76%2946182951.72%989187552.75%730136353.56%169595516987541430709
20Rocket330000001596220000008441100000075261.0001525400084126130899871941957218827266014214.29%13469.23%1946182951.72%989187552.75%730136353.56%169595516987541430709
21Senators3110010011110211000008711000010034-130.500111829008412613089387194195721922732579333.33%16381.25%0946182951.72%989187552.75%730136353.56%169595516987541430709
22Sound Tigers20200000512-71010000024-21010000038-500.0005914008412613087887194195721672520339222.22%10280.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
23Thunderbirds303000001218-620200000811-31010000047-300.000121931008412613081038719419572110936256417317.65%10370.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
24Wolfpack20100010710-31010000037-41000001043120.50071017008412613086387194195721562310396350.00%5260.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
25Wolves2020000069-31010000034-11010000035-200.0006101600841261308748719419572168168319111.11%40100.00%0946182951.72%989187552.75%730136353.56%169595516987541430709
Total80393301232344324204019190010116716254020140113117716215900.56334456590910841261308277487194195721265884771015293206219.38%3306281.21%6946182951.72%989187552.75%730136353.56%169595516987541430709
_Since Last GM Reset80393301232344324204019190010116716254020140113117716215900.56334456590910841261308277487194195721265884771015293206219.38%3306281.21%6946182951.72%989187552.75%730136353.56%169595516987541430709
_Vs Conference502917001212301913925141000001117962125157001201139518640.6402303806101084126130817018719419572116415354529712053416.59%2113782.46%5946182951.72%989187552.75%730136353.56%169595516987541430709
_Vs Division19117000108669171046000004441397100010422814240.6328614623200841261308624871941957216111971813611011110.89%831680.72%3946182951.72%989187552.75%730136353.56%169595516987541430709

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8090L234456590927742658847710152910
All Games
GPWLOTWOTL SOWSOLGFGA
8039331232344324
Home Games
GPWLOTWOTL SOWSOLGFGA
4019190101167162
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4020141131177162
Last 10 Games
WLOTWOTL SOWSOL
540010
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3206219.38%3306281.21%6
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
87194195721841261308
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
946182951.72%989187552.75%730136353.56%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
169595516987541430709


Last Played Games
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DayGame Visitor Team Score Home Team Score ST OT SO RI Link
1 - 2021-11-305Phantoms7Marlies1AWBoxScore
4 - 2021-12-0316Marlies5Phantoms2BLBoxScore
8 - 2021-12-0735Heat5Phantoms4BLR1BoxScore
11 - 2021-12-1054Marlies4Phantoms3BLBoxScore
14 - 2021-12-1365Phantoms2Griffins7ALBoxScore
16 - 2021-12-1576Phantoms6Heat5AWR1BoxScore
20 - 2021-12-1992Reign4Phantoms8BWR1BoxScore
23 - 2021-12-22111Rocket2Phantoms4BWBoxScore
24 - 2021-12-23117Phantoms5Reign3AWR1BoxScore
26 - 2021-12-25123Phantoms6Comets2AWBoxScore
27 - 2021-12-26130Phantoms5Icehogs4AWBoxScore
30 - 2021-12-29150Senators3Phantoms2BLBoxScore
32 - 2021-12-31161Phantoms6Admirals3AWBoxScore
34 - 2022-01-02173Moose2Phantoms4BWBoxScore
37 - 2022-01-05190Phantoms7Monsters4AWBoxScore
39 - 2022-01-07200Condors2Phantoms6BWBoxScore
41 - 2022-01-09213Phantoms3Senators4ALXBoxScore
43 - 2022-01-11224Barracuda3Phantoms5BWBoxScore
45 - 2022-01-13233Phantoms2Rampage3ALBoxScore
47 - 2022-01-15248Rocket2Phantoms4BWBoxScore
50 - 2022-01-18268Wolfpack7Phantoms3BLBoxScore
52 - 2022-01-20275Phantoms4Crunch2AWBoxScore
55 - 2022-01-23290Phantoms7Rocket5AWBoxScore
57 - 2022-01-25300Phantoms2Griffins5ALBoxScore
58 - 2022-01-26308Wolves4Phantoms3BLBoxScore
61 - 2022-01-29320Phantoms3Punishers5ALBoxScore
63 - 2022-01-31333Phantoms6Heat3AWR1BoxScore
64 - 2022-02-01338Condors5Phantoms6BWBoxScore
67 - 2022-02-04355Phantoms3Wolves5ALBoxScore
68 - 2022-02-05360Bears2Phantoms3BWBoxScore
71 - 2022-02-08379Phantoms3Heat2AWR1BoxScore
72 - 2022-02-09387Phantoms3Marlies2AWXXBoxScore
73 - 2022-02-10389Admirals5Phantoms9BWBoxScore
78 - 2022-02-15412Phantoms2Marlies7ALBoxScore
79 - 2022-02-16417Sound Tigers4Phantoms2BLBoxScore
84 - 2022-02-21439Phantoms5Bears3AWBoxScore
85 - 2022-02-22444Icehogs8Phantoms3BLBoxScore
88 - 2022-02-25464Reign1Phantoms3BWR1BoxScore
91 - 2022-02-28477Phantoms6Eagles3AWBoxScore
93 - 2022-03-02487Phantoms6Little Stars5AWBoxScore
94 - 2022-03-03494Crunch1Phantoms5BWBoxScore
98 - 2022-03-07514Phantoms4Thunderbirds7ALBoxScore
99 - 2022-03-08519Devils4Phantoms6BWBoxScore
103 - 2022-03-12536Phantoms4Griffins6ALBoxScore
105 - 2022-03-14544Icehogs7Phantoms5BLBoxScore
107 - 2022-03-16557Phantoms7Devils8ALXXBoxScore
110 - 2022-03-19571Eagles7Phantoms3BLBoxScore
115 - 2022-03-24593Phantoms5Penguins6ALBoxScore
116 - 2022-03-25598Punishers3Phantoms2BLXBoxScore
120 - 2022-03-29619Reign6Phantoms5BLR1BoxScore
123 - 2022-04-01633Phantoms6Admirals5AWBoxScore
125 - 2022-04-03647Monsters1Phantoms6BWBoxScore
127 - 2022-04-05659Phantoms3Icehogs1AWBoxScore
129 - 2022-04-07671Senators4Phantoms6BWBoxScore
132 - 2022-04-10694Moose2Phantoms6BWBoxScore
135 - 2022-04-13705Phantoms3Barracuda2AWXXBoxScore
137 - 2022-04-15719Penguins8Phantoms3BLBoxScore
139 - 2022-04-17728Phantoms4Moose6ALBoxScore
142 - 2022-04-20746Thunderbirds5Phantoms4BLBoxScore
144 - 2022-04-22758Phantoms3Monsters6ALBoxScore
147 - 2022-04-25772Thunderbirds6Phantoms4BLBoxScore
149 - 2022-04-27781Phantoms4Condors6ALBoxScore
150 - 2022-04-28791Phantoms6Icehogs2AWBoxScore
153 - 2022-05-01803Little Stars5Phantoms1BLBoxScore
154 - 2022-05-02814Phantoms5Reign2AWR1BoxScore
157 - 2022-05-05828Griffins4Phantoms3BLBoxScore
159 - 2022-05-07843Phantoms2Comets4ALBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
162 - 2022-05-10855Barracuda5Phantoms4BLXXBoxScore
164 - 2022-05-12870Phantoms4Comets3AWXBoxScore
166 - 2022-05-14880Marlies2Phantoms4BWBoxScore
170 - 2022-05-18900Phantoms5Reign3AWR1BoxScore
172 - 2022-05-20907Rampage2Phantoms3BWBoxScore
177 - 2022-05-25932Heat6Phantoms5BLR1BoxScore
180 - 2022-05-28948Phantoms3Sound Tigers8ALBoxScore
182 - 2022-05-30956Comets4Phantoms5BWBoxScore
184 - 2022-06-01970Phantoms4Wolfpack3AWXXBoxScore
187 - 2022-06-04983Marlies3Phantoms6BWBoxScore
189 - 2022-06-06990Phantoms6Condors1AWBoxScore
192 - 2022-06-091010Heat5Phantoms4BLR1BoxScore
198 - 2022-06-151032Comets4Phantoms3BLBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3520
Attendance74,96325,114
Attendance PCT93.70%62.79%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2502 - 83.40% 81,700$3,267,991$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,366,485$ 1,827,000$ 1,490,000$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,135$ 1,850,860$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 11,635$ 0$




Phantoms Stat Leaders (Regular Season)

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

Phantoms Goalies Stat Leaders (Regular Season)

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

Phantoms Career Team Stats

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

Phantoms Stat Leaders (Play-Off)

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

Phantoms Goalies Stat Leaders (Play-Off)

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