BerkeleyPhantoms
GP W L OT Pts
28 22 5 1 45
GM: Alexander Phillips League Rank:1st Arena: Berkeley Arena
Conference: Western Conference Conference Rank:1st Capacity:5,000
Division: Central Division Rank:1st Total Player Salaries:3,189,925$
Captain: Dru Pearkes Last 10: 6-3-0
Coach: Julian Weiss Home: 11-1-1
All-Time Record: 180 W - 174 L - 46 OTL Away: 7-4-0
Roster
Roster
Player # POS CON CK FG DI SK ST EN DU PH FO PA SC DF PS EX LD PO MO OV AGE CONTRACT
Tani Pahkamaa95RW96.0065497376977080788246938870403577507622900,000$/1yrs
Oystein Gravdahl (R)0C97.71726562768192738084628668687772835076181,000,000$/3yrs
Kevin Elson83RW100.00554296718999918369598235734035355075291,750,000$/1yrs
Ivan Mlachnev42RW100.0086359196509065867197464450348614507533900,000$/3yrs
Wesley Groulx0C100.00626170637992909098508956425596245075311,000,000$/2yrs
Olaf Norlander (R)0LW100.00777265827580777966589864826877825075191,000,000$/3yrs
Igor Karsenev56LW100.0052557482699089896754449963978445074351,330,366$/2yrs
Vosip Puntus73LW100.0075386282769576676760876096694465074341,000,000$/1yrs
Takeji Takata (R)93RW100.00693473646093809277676284873027675074221,350,000$/5yrs
Yann Hammond (R)62LW100.00246282708299928658546578353068675074221,000,000$/2yrs
Ruuno Jortikka (R)0RW100.0076637568818780746059767866657067507419800,000$/3yrs
Ruslan Sarvarov (A)80C99.0044428494757950929558439980414405073361,300,000$/2yrs
Igor Zheldakov16D100.00716260978292888525785377517880645079231,700,000$/2yrs
Ole Hansen (R)44D100.0069489170867986687268608989648075507719900,000$/2yrs
Leonid Pafov (R)20D100.00554068749999818525437878584332585075231,900,000$/5yrs
Christofer Widell (R)0D100.0075546963729283645978817463646576507520800,000$/3yrs
Zane Haddix (A)22D100.00543863748499607025854390749776305074291,362,160$/1yrs
Johnny Leclair2D100.00993765546263899325885377767482335073281,350,000$/2yrs
Scratches
Dru Pearkes (C)52C44.75834560957876638078739470504398345078301,600,000$/1yrs
Maksim Voronin56RW100.00413780937697686972437694427649365073291,999,750$/1yrs
Waylon Mcindeor (R)0RW100.00665773698394798649706257623260645073241,088,216$/1yrs
Ignaty Syromolotov (R)90LW100.0033507372817094788350728295305662507222900,000$/2yrs
Shiro Kaima (R)96C100.0070598663668199639143659635268170507222800,000$/2yrs
Jaki Krabbe59RW100.0079456678936274608250853577447548506826818,750$/4yrs
Butch Fitzstephens89LW100.0035458760468166709736709170736713506532700,000$/1yrs
Alek Isotalus40D100.0058579289715985682555678199579629507230700,000$/5yrs
Erling Olsson48D100.0040395890578651632589459952594950506926700,000$/1yrs
Sven Thunberg (R)0D100.0068366297687570842545707359634668506921800,000$/3yrs
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Goalie # CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV AGE CONTRACT
Atley Hebert32100.0084677467655478856983619349465073271,250,000$/3yrs
Karel Sivak0100.007663627667698181866560774571507321800,000$/3yrs
Scratches
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Julian Weiss95319693419755USA4831,250,000$
General Manager
Alexander Phillips
Player Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# Player Name Team Name POS GP G A P +/- PIM PIM5 HIT SHT OSB OSM SHT% SB MPG PPT PPG PPA PPP PKG PKA PKP PKM GW GT FO% EG HT P/GP PSG PSS GSAVG
1Olaf NorlanderPhantomsPhantoms (VOO)LW2815183319875553122316812.30%1215.280.0000000002042.31%001.18000.97
2Takeji TakataPhantomsPhantoms (VOO)RW281119301825545106355310.38%917.190.0013400000145.83%001.07111.19
3Oystein GravdahlPhantomsPhantoms (VOO)C28111425050406595335611.58%1216.290.0001100021151.42%010.89000.69
4Yann HammondPhantomsPhantoms (VOO)LW28111324132301166284616.67%1017.220.0042600001037.84%000.86000.65
5Ruslan SarvarovPhantomsPhantoms (VOO)C281310239002257164022.81%1114.670.003710000706060.15%000.82000.92
6Tani PahkamaaPhantomsPhantoms (VOO)RW2881422323155069273011.59%1217.900.0001100022055.56%000.79000.70
7Shiro KaimaPhantomsPhantoms (VOO)C26813211320204129101727.59%1319.550.00246101631149.72%000.81000.72
8Igor KarsenevPhantomsPhantoms (VOO)LW28711181126103543102516.28%1313.180.00538000671053.85%100.64110.60
9Zane HaddixPhantomsPhantoms (VOO)D281161718255333213123.13%4122.310.0002200064010.00%000.61000.63
10Dru PearkesPhantomsPhantoms (VOO)C266915680479323566.45%1011.700.0000000041147.24%000.58000.80
11Igor ZheldakovPhantomsPhantoms (VOO)D2811314-67840587636271.32%3821.630.0000000059000.00%000.50000.11
12Leonid PafovPhantomsPhantoms (VOO)D2811314173610434510262.22%3923.540.0012301163000.00%000.50000.54
13Maksim VoroninPhantomsPhantoms (VOO)RW26661211401137172116.22%1012.860.00011011620044.44%100.46000.59
14Ignaty SyromolotovPhantomsPhantoms (VOO)LW26561145572771018.52%411.580.0000000050163.64%000.42110.40
15Ruuno JortikkaPhantomsPhantoms (VOO)RW286410036203737142816.22%1012.160.0022400004063.64%000.36000.20
16Johnny LeclairPhantomsPhantoms (VOO)D2806616100369860.00%1314.030.0000000016000.00%000.21000.34
17Ole HansenPhantomsPhantoms (VOO)D2824642725183411185.88%4623.160.0021300072100.00%000.21220.20
18Kevin ElsonPhantomsPhantoms (VOO)RW2213400051040.00%018.830.0000000000045.45%001.50001.89
19Christofer WidellPhantomsPhantoms (VOO)D280331410102223670.00%1613.420.000000002000.00%000.11000.28
20Vosip PuntusPhantomsPhantoms (VOO)LW21011000100100.00%00.960.000000001000.00%000.50000.59
21Ivan MlachnevPhantomsPhantoms (VOO)RW200000000000.00%01.080.000000000000.00%000.00000.00
22Wesley GroulxPhantomsPhantoms (VOO)C2000-10011000.00%012.150.00000000200100.00%000.0000-0.15
Team Total or Average504115193308162502290635100733654611.42%31916.4520294934512356320651.52%1679224196210.7455
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
1Karel SivakPhantomsPhantoms (VOO)1813210.9192.489940041508262101.00021513203
2Atley HebertPhantomsPhantoms (VOO)139300.8883.376950039347197100.50021315110
Team Total or Average3122510.9062.8416900080855459200.75042828313
Salary
Player Name POS Age Cap Hit 6-7 7 8 9 10 11 12 13
Alek Isotalus D30700,000$700,000$ 700,000$ 700,000$ 700,000$ 700,000$
Atley Hebert G271,250,000$1,250,000$ 1,250,000$ 1,250,000$
Butch Fitzstephens LW32700,000$700,000$
Christofer Widell D20800,000$800,000$ 800,000$ 800,000$
Dru Pearkes C301,600,000$1,600,000$
Erling Olsson D26700,000$700,000$
Ignaty Syromolotov LW22900,000$900,000$ 900,000$
Igor Karsenev LW351,330,366$1,330,366$ 1,330,366$
Igor Zheldakov D231,700,000$1,700,000$ 1,700,000$
Ivan Mlachnev RW33900,000$900,000$ 900,000$ 900,000$
Jaki Krabbe RW26818,750$818,750$ 818,750$ 818,750$ 818,750$
Johnny Leclair D281,350,000$1,350,000$ 1,350,000$
Karel Sivak G21800,000$800,000$ 800,000$ 800,000$
Kevin Elson RW291,750,000$1,750,000$
Leonid Pafov D231,900,000$1,900,000$ 1,900,000$ 1,900,000$ 1,900,000$ 1,900,000$
Maksim Voronin RW291,999,750$1,999,750$
Olaf Norlander LW191,000,000$1,000,000$ 1,000,000$ 1,000,000$
Ole Hansen D19900,000$900,000$ 900,000$
Oystein Gravdahl C181,000,000$1,000,000$ 1,000,000$ 1,000,000$
Ruslan Sarvarov C361,300,000$1,300,000$ 1,300,000$
Ruuno Jortikka RW19800,000$800,000$ 800,000$ 800,000$
Shiro Kaima C22800,000$800,000$ 800,000$
Sven Thunberg D21800,000$800,000$ 800,000$ 800,000$
Takeji Takata RW221,350,000$1,350,000$ 1,350,000$ 1,350,000$ 1,350,000$ 1,350,000$
Tani Pahkamaa RW22900,000$900,000$
Vosip Puntus LW341,000,000$1,000,000$
Waylon Mcindeor RW241,088,216$1,088,216$
Wesley Groulx C311,000,000$1,000,000$ 1,000,000$
Yann Hammond LW221,000,000$1,000,000$ 1,000,000$
Zane Haddix D291,362,160$1,362,160$

Lines

5v5 Lines

62
GP: 28 | G: 11 | A: 13 | PTS: 24
GP: 28 | G: 11 | A: 14 | PTS: 25
GP: 28 | G: 8 | A: 14 | PTS: 22
GP: 28 | G: 15 | A: 18 | PTS: 33
83
GP: 2 | G: 2 | A: 1 | PTS: 3
93
GP: 28 | G: 11 | A: 19 | PTS: 30
GP: 28 | G: 8 | A: 14 | PTS: 22
GP: 28 | G: 11 | A: 14 | PTS: 25
GP: 28 | G: 6 | A: 4 | PTS: 10
GP: 28 | G: 7 | A: 11 | PTS: 18
GP: 28 | G: 13 | A: 10 | PTS: 23
0
GP: 2 | G: 0 | A: 0 | PTS: 0
GP: 28 | G: 1 | A: 13 | PTS: 14
44
GP: 28 | G: 2 | A: 4 | PTS: 6
22
GP: 28 | G: 1 | A: 16 | PTS: 17
20
GP: 28 | G: 1 | A: 13 | PTS: 14
0
GP: 28 | G: 0 | A: 3 | PTS: 3
GP: 28 | G: 0 | A: 6 | PTS: 6

Power Play Lines

GP: 28 | G: 7 | A: 11 | PTS: 18
GP: 28 | G: 13 | A: 10 | PTS: 23
GP: 28 | G: 8 | A: 14 | PTS: 22
20
GP: 28 | G: 1 | A: 13 | PTS: 14
GP: 28 | G: 1 | A: 13 | PTS: 14
62
GP: 28 | G: 11 | A: 13 | PTS: 24
GP: 28 | G: 11 | A: 14 | PTS: 25
GP: 28 | G: 6 | A: 4 | PTS: 10
44
GP: 28 | G: 2 | A: 4 | PTS: 6
93
GP: 28 | G: 11 | A: 19 | PTS: 30

Goalies

32
W: 9 | L: 3 | 0.888 SV%
0
W: 13 | L: 2 | 0.919 SV%
Team Stats
Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
# VS Team GP W L T OTW OTL SOW SOL GF GA Diff P PCT G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT GF% SH% SV% PDO PDOBRK
1PhantomsOutlaws1000100032121.00034700353939733318306380827121917200.00%2150.00%033265250.92%30759751.42%22642153.68%61036459624848523875.0%9.1%92.6%101.7LUCKY
2PhantomsRampage1100000032121.0003580035393973431830638082922462711100.00%3166.67%033265250.92%30759751.42%22642153.68%61036459624848523866.7%8.8%93.1%101.9DULL
3PhantomsWolverines2110000076120.50071017003539397773183063808663050564250.00%5260.00%033265250.92%30759751.42%22642153.68%61036459624848523855.6%9.1%90.9%100.0FUN
4PhantomsCrusaders1100000042221.000471100353939743318306380834172113100.00%3166.67%033265250.92%30759751.42%22642153.68%61036459624848523880.0%9.3%94.1%103.4LUCKY
5PhantomsBulldogs1100000041321.0004610003539397403183063808211426253133.33%30100.00%033265250.92%30759751.42%22642153.68%61036459624848523875.0%10.0%95.2%105.2LUCKY
6PhantomsAuroras1010000034-100.0003470035393973131830638083114726200.00%10100.00%033265250.92%30759751.42%22642153.68%61036459624848523842.9%9.7%87.1%96.8FUN
7PhantomsHornets311010001110140.667111829003539397953183063808772528595240.00%9277.78%033265250.92%30759751.42%22642153.68%61036459624848523852.9%11.6%87.0%98.6FUN
8PhantomsWolfpack2100001096341.0009142300353939767318306380868215153400.00%8275.00%033265250.92%30759751.42%22642153.68%61036459624848523869.2%13.4%91.2%104.6LUCKY
9PhantomsVipers1100000052321.000551000353939730318306380836112918100.00%7185.71%033265250.92%30759751.42%22642153.68%61036459624848523883.3%16.7%94.4%111.1LUCKY
10PhantomsDevils33000000147761.00014264000353939711631830638081103649676350.00%7185.71%033265250.92%30759751.42%22642153.68%61036459624848523864.7%12.1%93.6%105.7LUCKY
11PhantomsGuppies33000000137661.0001323360035393971033183063808772247779444.44%11281.82%033265250.92%30759751.42%22642153.68%61036459624848523864.3%12.6%90.9%103.5FUN
12PhantomsStingers1100000042221.000481200353939741318306380835171522000.00%000.00%033265250.92%30759751.42%22642153.68%61036459624848523866.7%9.8%94.3%104.0LUCKY
13PhantomsSpartans21000010128441.000121830003539397843183063808701547444375.00%6183.33%033265250.92%30759751.42%22642153.68%61036459624848523856.3%14.3%88.6%102.9FUN
14PhantomsNorthmen1010000013-200.000123003539397303183063808228231000.00%10100.00%033265250.92%30759751.42%22642153.68%61036459624848523825.0%3.3%86.4%89.7Unlucky
15PhantomsYeti2110000098120.50091726003539397703183063808612033423133.33%9188.89%133265250.92%30759751.42%22642153.68%61036459624848523853.3%12.9%86.9%99.7FUN
16PhantomsWild Wings22000000126641.000122032003539397753183063808652523433266.67%9277.78%033265250.92%30759751.42%22642153.68%61036459624848523871.4%16.0%90.8%106.8FUN
17PhantomsDrillers1000010034-110.50036900353939738318306380826109152150.00%2150.00%033265250.92%30759751.42%22642153.68%61036459624848523840.0%7.9%84.6%92.5Unlucky
_Vs Division6710100024177161.3332441650035393971983183063808154477513614642.86%20480.00%033265250.92%30759751.42%22642153.68%61036459624848523858.1%12.1%89.0%101.1FUN
_Vs Conference1911402110775621290.763771272040035393976603183063808579201322430381334.21%611378.69%133265250.92%30759751.42%22642153.68%61036459624848523859.8%11.7%90.3%102.0FUN
_Since Last GM Reset28185021201178037450.80411719331000353939710073183063808855319502635502040.00%861879.07%133265250.92%30759751.42%22642153.68%61036459624848523861.0%11.6%90.6%102.3FUN
Total28185021201178037450.80411719331000353939710073183063808855319502635502040.00%861879.07%133265250.92%30759751.42%22642153.68%61036459624848523861.0%11.6%90.6%102.3FUN

Puck Time
Offensive Zone 21
Neutral Zone 17
Defensive Zone 21
Puck Time
Offensive Zone Start 652
Neutral Zone Start 421
Defensive Zone Start 597
Puck Time
With Puck 30
Without Puck 29
Faceoffs
Faceoffs Won 865
Faceoffs Lost 805
Team Average Shots after League Average Shots after
1st Period 11.49.57
2nd Period 22.320.31
3rd Period 35.930.68
Overtime 36.131.4
Goals in Team Average Goals after League Average Goals after
1st Period 1.30.64
2nd Period 2.61.65
3rd Period 4.02.67
Overtime 4.32.83
Even Strenght Goal 96
PP Goal 20
PK Goal 1
Empty Net Goal 0
Home Away
Win 139
Lost 14
Overtime Lost 10
PP Attempt 50
PP Goal 20
PK Attempt 86
PK Goal Against 18
Home
Shots For 36.0
Shots Against 30.5
Goals For 4.2
Goals Against 2.9
Hits 22.7
Shots Blocked 11.4
Pim 17.9
Schedule
Mon, Jun 15
Devils
3
5
Phantoms
Wed, Jun 17
Spartans
2
5
Phantoms
Fri, Jun 19
Phantoms
1
3
Northmen
Sat, Jun 20
Wolfpack
2
4
Phantoms
Mon, Jun 22
Phantoms
5
4
(SO)
Wolfpack
Wed, Jun 24
Guppies
3
5
Phantoms
Thu, Jun 25
Rampage
2
3
Phantoms
Sat, Jun 27
Outlaws
2
3
(OT)
Phantoms
Mon, Jun 29
Phantoms
6
3
Devils
Wed, Jul 1
Guppies
1
2
Phantoms
Fri, Jul 3
Stingers
2
4
Phantoms
Sat, Jul 4
Phantoms
4
1
Wolverines
Mon, Jul 6
Wild Wings
4
6
Phantoms
Wed, Jul 8
Auroras
4
3
Phantoms
Fri, Jul 10
Phantoms
6
3
Guppies
Sat, Jul 11
Hornets
2
3
(OT)
Phantoms
Mon, Jul 13
Phantoms
3
1
Devils
Tue, Jul 14
Bulldogs
1
4
Phantoms
Thu, Jul 16
Phantoms
3
5
Wolverines
Sat, Jul 18
Drillers
4
3
(OT)
Phantoms
Mon, Jul 20
Phantoms
4
2
Crusaders
Tue, Jul 21
Phantoms
2
5
Yeti
Thu, Jul 23
Yeti
3
7
Phantoms
Sat, Jul 25
Phantoms
3
5
Hornets
Mon, Jul 27
Phantoms
6
2
Wild Wings
Wed, Jul 29
Phantoms
5
2
Vipers
Fri, Jul 31
Hornets
3
5
Phantoms
Sat, Aug 1
Phantoms
7
6
(SO)
Spartans
Mon, Aug 3
Kings
Phantoms
Wed, Aug 5
Phantoms
Yeti
Fri, Aug 7
Outlaws
Phantoms
Sat, Aug 8
Phantoms
Guppies
Mon, Aug 10
Auroras
Phantoms
Tue, Aug 11
Schooners
Phantoms
Thu, Aug 13
Phantoms
Comets
Sat, Aug 15
Jacks
Phantoms
Mon, Aug 17
Phantoms
Hydra
Wed, Aug 19
Phantoms
Drillers
Thu, Aug 20
Phantoms
Jacks
Sat, Aug 22
Devils
Phantoms
Mon, Aug 24
Hornets
Phantoms
Tue, Aug 25
Rock
Phantoms
Thu, Aug 27
Crusaders
Phantoms
Sat, Aug 29
Phantoms
Auroras
Mon, Aug 31
Wolverines
Phantoms
Wed, Sep 2
Phantoms
Swamp Puppies
Thu, Sep 3
Guppies
Phantoms
Sat, Sep 5
Phantoms
Hornets
Mon, Sep 7
Comets
Phantoms
Tue, Sep 8
Swamp Puppies
Phantoms
Fri, Sep 11
Jazz
Phantoms
Sat, Sep 12
Phantoms
Jazz
Mon, Sep 14
Guppies
Phantoms
Tue, Sep 15
Drillers
Phantoms
Thu, Sep 17
Phantoms
Kings
Sat, Sep 19
Hornets
Phantoms
Mon, Sep 21
Phantoms
Wolfpack
Tue, Sep 22
Phantoms
Devils
Fri, Sep 25
Phantoms
Devils
Sat, Sep 26
Devils
Phantoms
Trade Deadline --- Trades can't be done after this day is simulated!
Mon, Sep 28
Phantoms
Stingers
Tue, Sep 29
Phantoms
Guppies
Thu, Oct 1
Phantoms
Outlaws
Sat, Oct 3
Northmen
Phantoms
Mon, Oct 5
Phantoms
Rampage
Tue, Oct 6
Hydra
Phantoms
Fri, Oct 9
Phantoms
Guppies
Sat, Oct 10
Phantoms
Hornets
Mon, Oct 12
Phantoms
Rock
Fri, Oct 16
Phantoms
Schooners
Sat, Oct 17
Phantoms
Vipers
Mon, Oct 19
Vipers
Phantoms
Tue, Oct 20
Phantoms
Jacks
Fri, Oct 23
Phantoms
Bulldogs
Sat, Oct 24
Wolfpack
Phantoms
Mon, Oct 26
Phantoms
Hornets
Tue, Oct 27
Hornets
Phantoms
Thu, Oct 29
Devils
Phantoms
Sat, Oct 31
Guppies
Phantoms
Fri, Nov 6
Phantoms
Devils

Finance
Salary Cap
Players Total SalariesRetained SalaryTotal Cap HitEstimated Cap Space
3,189,925$ 0$ 0$ 75,000,000$

ArenaAbout us
Name
CityBerkeley
Capacity5000
Season Ticket Holders25%

Arena Capacity - Ticket Price Attendance - %
Arena Capacity30002000
Ticket Price35$15$$$$
Attendance4173927524
Attendance PCT92.75%91.75%0.00%0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
25 4618 - 92.35% 162,389$2,435,841$5000100

Expenses
Players Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
3,189,925$ 3,189,925$ 0$ 0$
Year To Date ExpensesSalary Cap Per DaysSalary Cap To DateLuxury Taxe Total
1,520,728$ 3,189,925$ 1,104,070$ 0$

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
4,059,735$ 98 30,204$ 2,959,992$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
2,959,992$ 0$ 0$ 0$

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

Defense #1Defense #2Goalie

Transactions



Injuries
Dru Pearkes is out for 2 months because of a Lower Body Injury.

Team History

Game Center

Hornets14-12-2, 30pts35Final
Phantoms22-5-1, 45pts

Phantoms22-5-1, 45pts76Final
Spartans13-9-6, 32pts

Kings12-9-7, 31ptsMon, Aug 03
Phantoms22-5-1, 45pts

Phantoms22-5-1, 45ptsWed, Aug 05
Yeti12-13-3, 27pts

TRANSACTIONS



 

Team Info

Phantoms
Head CoachJulian Weiss
DivisionCentral
CityBerkeley
Stadium Capacity5,000

Phantoms Affiliation

Phantoms
General ManagerAlexander Phillips
Head CoachCyril Arseneault
StadiumHangar 57
Capacity18,000

Team Jerseys

Phantoms Phantoms Phantoms
Home Away Alternate

Team Leaders


GOALS
Olaf Norlander
PhantomsPhantoms
15
GOALS
POINTS
Olaf Norlander
PhantomsPhantoms
33
POINTS
WINS
Karel Sivak
PhantomsPhantoms
13
WINS
Expanded Player Leaderboard

Team Stats


Goals For
117
4.18 GFG
Goals Against
80
2.86 GAA
Power Play Percentage
40.0%
20 GF
Penalty Kill Percentage
79.1%
18 GA
Expanded Team Stats

Team Captain - Alternate Captains

CaptainAlternate CaptainAlternate Captain