Phantoms

GP: 1 | W: 1 | L: 0 | OTL: 0 | P: 2
GF: 6 | GA: 1 | PP%: 50.00% | PK%: 100.00%
GM : Kriss Cardenas | Morale : 50 | Team Overall : 63
Next Games #19 vs Wolfpack

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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 SP
1Jonny Brodzinski0XX100.006635956976788065796466646374763250660
2Nathan Walker0X100.009349766870808264836261706373753950660
3Alex Barre-Boulet0XXX100.006437836567888666736864616569713650650
4Rodrigo Abols0X100.007643896588788163796261646071723950650
5Oliver Moore (R)0X100.006137897170808265746766646961638350650
6Jakob Pelletier0XX100.006635936765838665746963646765667750650
7Tyson Jost0X100.006939806770818363726162686472707150640
8Cole Guttman0X100.006238806663908663686564606667694250640
9Dillon Dube0X100.006336936770876966616268636768705850640
10Konsta Helenius0X100.006437896670848665686761626360628650640
11Seth Griffith0XX100.005839776667758665786961606373783450640
12Sonny Milano0X100.006536956675766764686562636972716750640
13Arshdeep Bains0X100.006338856471788362666560616366674250630
14Zac Jones0X100.006436896870878066307061635266686250660
15Urho Vaakanainen0X100.006036886681867565307454675068677150660
16Nolan Allan0X100.007054716379828462306454654963657750650
17Adam Ginning0X100.007141745983818258305752654666687050640
18Cameron Crotty0X100.007341776086798258306352624667695550640
19Jarred Tinordi0X100.008982635798667355305453624574764550640
20Helge Grans0X100.007440836187818559306353584764667450640
21Taige Harding (R)0X100.009048555999647756305852624564666250640
Scratches
1Jeffrey Viel0X100.008082556580848264566258605769713650630
2Liam Foudy0XX100.006437916575878563615961626466687950630
3Ryan Suzuki0XX100.006738876376788662706456616365677750630
4Skyler Brind'Amour0X100.006939826179858758605561666267694250630
5Tristan Broz0X100.006239766475828063666160626365666850630
6Mike Hardman0XXX100.007238926181798258626359645767693750630
7Samuel Helenius0X100.008762726497728362725660615964656750630
8Tristen Nielsen0X100.006939736269828661586360625967664250630
9Danil Gushchin0X100.006136826461918262685963616465676650620
10Josh Samanski0X100.006940796379768660676357625964664350620
11Matthew Strome0X100.007942805788758155595856615567695150610
12Parker Ford0X100.006637815966828158605759645666684250610
13Trevor Kuntar0XX100.006641665875828357605655595465676150600
14Hayden Hodgson0X100.007765525886707956555455575370723550590
15Thomas Bordeleau0XXX100.005538755966818258675756555964667350590
16Carson Bantle0X100.007643705585707354505253565164665750580
17Ethan Gauthier (R)0X100.006238945771728156525554585361637650580
18Zac Funk0X100.006741735676796354585553575263654450570
19Theo Lindstein (R)0X100.006437906474818963306162605261627950630
20Ronnie Attard0X100.007643705885758056305755594767695650630
21Nikolai Knyzhov0X100.007941885588647653305452594668703650610
22Kaden Hammell0X100.006640785775707654305556584761635550600
TEAM AVERAGE100.00704380627779816156615862576668575063
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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 CON SK DU EN SZ AG RB SC HS RT PH PS EX LD PO MO OV TA SP
1Matt Tomkins100.00768479857574767574767572863050750
2Kevin Mandolese100.00747571827372747372747366754750720
Scratches
1Luke Cavallin100.00697369806867696867696866734250680
TEAM AVERAGE100.0073777382727173727173726878405072
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Vellucci64626568908456USA6061,000,000$


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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 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
1Jonny BrodzinskiPhantoms (Phi)C/RW1022200103140.00%02323.0001102000040083.33%1200001.7400000000
2Nathan WalkerPhantoms (Phi)LW11121003041025.00%01616.45011030001410100.00%100002.4300000001
3Nolan AllanPhantoms (Phi)D111210000120100.00%01919.481011300003000.00%000002.0500000000
4Zac JonesPhantoms (Phi)D111220020101100.00%02121.570000200004000.00%000001.8500000100
5Oliver MoorePhantoms (Phi)C11122001150420.00%01515.5200000000000033.33%1200002.5800000010
6Cameron CrottyPhantoms (Phi)D1011000101100.00%01414.220000000000000.00%000001.4100000000
7Dillon DubePhantoms (Phi)LW1011100001000.00%088.18000000000000100.00%100002.4400000000
8Alex Barre-BouletPhantoms (Phi)C/LW/RW1011-100115010.00%01616.470111200000000.00%100001.2100000000
9Konsta HeleniusPhantoms (Phi)C1011200205010.00%01818.8700000000000057.14%700001.0600000000
10Rodrigo AbolsPhantoms (Phi)C1101-1201051420.00%01919.0710122000020053.33%1500001.0500000000
11Seth GriffithPhantoms (Phi)C/RW1011000004010.00%02121.450110200000000.00%200000.9300000000
12Sonny MilanoPhantoms (Phi)LW110110011100100.00%077.970000000000000.00%000002.5100000000
13Urho VaakanainenPhantoms (Phi)D1011240220010.00%12323.770000200001000.00%000000.8400000000
14Adam GinningPhantoms (Phi)D1000000001000.00%01616.070000000001000.00%000000.0000000000
15Tyson JostPhantoms (Phi)C1000000000000.00%011.750000000001000.00%000000.0000000000
16Cole GuttmanPhantoms (Phi)C1000000000000.00%022.100000000000000.00%000000.0000000000
17Jakob PelletierPhantoms (Phi)C/LW1000220121040.00%01515.50000000000000100.00%200000.0000000000
18Taige HardingPhantoms (Phi)D1000100202000.00%01919.480000300003000.00%000000.0000000000
Team Total or Average186121815801874062115.00%128015.612464250001281056.60%5300001.2800000111
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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
1Matt TomkinsPhantoms (Phi)11000.9441.0060001180000.000010000
Team Total or Average11000.9441.0060001180000.000010000


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 Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Adam GinningD262000-01-13No196 Lbs6 ft3NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Alex Barre-BouletC/LW/RW291997-05-21No178 Lbs5 ft10NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Arshdeep BainsLW252001-01-09No184 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cameron CrottyD271999-05-05No213 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Carson BantleLW242002-01-22No194 Lbs6 ft4NoNoNo3RFAPro & Farm300,000$0$0$NoLink
Cole GuttmanC271999-04-06No167 Lbs5 ft9NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Danil GushchinLW242002-02-06No165 Lbs5 ft8NoNoNo1RFAPro & Farm500,000$0$0$NoLink / NHL Link
Dillon DubeLW281998-07-20No185 Lbs5 ft11NoNoNo1UFAPro & Farm1,000,000$0$0$NoLink
Ethan GauthierRW212005-01-26Yes182 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Hayden HodgsonRW301996-03-02No226 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Helge GransD242002-05-10No205 Lbs6 ft4NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Jakob PelletierC/LW252001-03-07No172 Lbs5 ft10NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Jarred TinordiD341992-02-20No229 Lbs6 ft6NoNoNo2UFAPro & Farm979,510$0$0$NoLink / NHL Link
Jeffrey VielLW291997-01-28No214 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Jonny BrodzinskiC/RW331993-06-19No206 Lbs6 ft0NoNoNo3UFAPro & Farm690,000$0$0$NoLink / NHL Link
Josh SamanskiC242002-03-22No195 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink
Kaden HammellD212005-03-12No187 Lbs6 ft1NoNoNo2ELCPro & Farm300,000$0$0$NoLink
Kevin MandoleseG262000-08-22No180 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Konsta HeleniusC202006-05-11No190 Lbs5 ft11NoNoNo3ELCPro & Farm900,000$0$0$NoLink
Liam FoudyC/RW262000-02-04No186 Lbs6 ft1NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Luke CavallinG252001-04-29No196 Lbs6 ft2NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt TomkinsG321994-06-19No191 Lbs6 ft4NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Matthew StromeLW271999-01-06No206 Lbs6 ft4NoNoNo2UFAPro & Farm300,000$0$0$NoLink / NHL Link
Mike HardmanC/LW/RW271999-02-05No205 Lbs6 ft2NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nathan WalkerLW321994-02-07No191 Lbs5 ft9NoNoNo2UFAPro & Farm925,000$0$0$NoLink / NHL Link
Nikolai KnyzhovD281998-03-20No222 Lbs6 ft3NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Nolan AllanD232003-04-28No195 Lbs6 ft2NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Oliver MooreC212005-01-22Yes188 Lbs5 ft11NoNoNo4ELCPro & Farm900,000$0$0$NoLink
Parker FordRW262000-07-20No181 Lbs5 ft9NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Rodrigo AbolsC301996-01-05No206 Lbs6 ft4NoNoNo1UFAPro & Farm500,000$0$0$NoLink
Ronnie AttardD271999-03-20No208 Lbs6 ft3NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Ryan SuzukiC/LW252001-05-28No196 Lbs6 ft1NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Samuel HeleniusC232002-11-26No225 Lbs6 ft6NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Seth GriffithC/RW331993-01-04No190 Lbs5 ft9NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Skyler Brind'AmourC271999-07-27No195 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Sonny MilanoLW301996-05-12No205 Lbs6 ft0NoNoNo2UFAPro & Farm500,000$0$0$NoLink
Taige HardingD242002-01-03Yes235 Lbs6 ft6NoNoNo4RFAPro & Farm300,000$0$0$NoLink
Theo LindsteinD212005-01-05Yes197 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$0$0$NoLink
Thomas BordeleauC/LW/RW242002-01-03No180 Lbs5 ft10NoNoNo3RFAPro & Farm300,000$0$0$NoLink / NHL Link
Trevor KuntarC/LW252001-06-20No205 Lbs6 ft0NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tristan BrozC232002-10-10No204 Lbs6 ft0NoNoNo3RFAPro & Farm500,000$0$0$NoLink
Tristen NielsenLW262000-02-23No192 Lbs5 ft10NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Tyson JostC281998-03-14No187 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Urho VaakanainenD271999-01-01No202 Lbs6 ft2NoNoNo3UFAPro & Farm1,000,000$0$0$NoLink / NHL Link
Zac FunkRW232003-07-20No210 Lbs6 ft0NoNoNo1RFAPro & Farm300,000$0$0$NoLink
Zac JonesD252000-10-18No190 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4626.20197 Lbs6 ft12.24471,620$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nathan WalkerJonny Brodzinski40122
2Alex Barre-BouletRodrigo AbolsSeth Griffith30122
3Jakob PelletierOliver Moore20122
4Sonny MilanoKonsta HeleniusJonny Brodzinski10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenZac Jones40122
2Nolan AllanTaige Harding30122
3Cameron CrottyAdam Ginning20122
4Urho Vaakanainen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Nathan WalkerJonny Brodzinski60122
2Alex Barre-BouletRodrigo AbolsSeth Griffith40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenZac Jones60122
2Nolan AllanTaige Harding40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Jonny BrodzinskiNathan Walker60122
2Rodrigo Abols40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenZac Jones60122
2Nolan AllanTaige Harding40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Jonny Brodzinski60122Urho VaakanainenZac Jones60122
2Nathan Walker40122Nolan AllanTaige Harding40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Jonny BrodzinskiNathan Walker60122
2Rodrigo Abols40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Urho VaakanainenZac Jones60122
2Nolan AllanTaige Harding40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Nathan WalkerJonny BrodzinskiUrho VaakanainenZac Jones
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Nathan WalkerJonny BrodzinskiUrho VaakanainenZac Jones
Extra Forwards
Normal PowerPlayPenalty Kill
Dillon Dube, Cole Guttman, Tyson JostDillon Dube, Cole GuttmanTyson Jost
Extra Defensemen
Normal PowerPlayPenalty Kill
Cameron Crotty, Adam Ginning, Cameron CrottyAdam Ginning,
Penalty Shots
Jonny Brodzinski, Nathan Walker, , Rodrigo Abols, Alex Barre-Boulet
Goalie
#1 : Matt Tomkins, #2 : Kevin Mandolese
Custom OT Lines Forwards
, , , , , , , , , ,
Custom OT Lines Defensemen
, , , ,


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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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
12W1612184018181800
All Games
GPWLOTWOTL SOWSOLGFGA
110000061
Home Games
GPWLOTWOTL SOWSOLGFGA
110000061
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
100000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
4250.00%40100.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
13141301320
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
142653.85%81844.44%81266.67%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
3224155127


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
1 - 2026-08-261Wolfpack1Phantoms6WBoxScore
2 - 2026-08-2719Phantoms-Wolfpack-
4 - 2026-08-2943Phantoms-Islanders-
5 - 2026-08-3056Islanders-Phantoms-
6 - 2026-08-3165Phantoms-Monsters-
7 - 2026-09-0185Monsters-Phantoms-
8 - 2026-09-02100Phantoms-Bears-
9 - 2026-09-03110Phantoms-Comets-
11 - 2026-09-05127Wolfpack-Phantoms-
14 - 2026-09-08146Comets-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance00
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
4 0 - 0.00% 0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
0$ 216,945$ 216,945$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 0$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 15 0$ 0$




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