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

Phantoms
GP: 2 | W: 0 | L: 2 | OTL: 0 | P: 0
GF: 2 | GA: 8 | PP%: 9.09% | PK%: 42.86%
GM : Interim - Flyers | Morale : 96 | Team Overall : 66
Next Games #38 vs Penguins

Game Center
Phantoms
0-2-0, 0pts
0
3 Barracuda
2-0-0, 4pts
Team Stats
L2StreakW2
0-1-0Home Record1-0-0
0-1-0Home Record1-0-0
0-2-0Last 10 Games2-0-0
1.00Goals Per Game2.50
4.00Goals Against Per Game0.50
9.09%Power Play Percentage14.29%
42.86%Penalty Kill Percentage100.00%
Wranglers
2-0-0, 4pts
5
2 Phantoms
0-2-0, 0pts
Team Stats
W2StreakL2
1-0-0Home Record0-1-0
1-0-0Home Record0-1-0
2-0-0Last 10 Games0-2-0
5.00Goals Per Game1.00
2.00Goals Against Per Game4.00
50.00%Power Play Percentage9.09%
77.78%Penalty Kill Percentage42.86%
Phantoms
0-2-0, 0pts
Day 3
Penguins
2-0-0, 4pts
Team Stats
L2StreakW2
0-1-0Home Record1-0-0
0-1-0Away Record1-0-0
0-2-0Last 10 Games2-0-0
1.00Goals Per Game2.00
4.00Goals Against Per Game2.00
9.09%Power Play Percentage12.50%
42.86%Penalty Kill Percentage100.00%
Thunderbirds
0-1-0, 0pts
Day 5
Phantoms
0-2-0, 0pts
Team Stats
L1StreakL2
0-1-0Home Record0-1-0
0-0-0Away Record0-1-0
0-1-0Last 10 Games0-2-0
1.00Goals Per Game1.00
3.00Goals Against Per Game1.00
0.00%Power Play Percentage9.09%
100.00%Penalty Kill Percentage42.86%
Phantoms
0-2-0, 0pts
Day 6
Eagles
0-1-1, 1pts
Team Stats
L2StreakL1
0-1-0Home Record0-1-0
0-1-0Away Record0-0-1
0-2-0Last 10 Games0-1-1
1.00Goals Per Game2.50
4.00Goals Against Per Game2.50
9.09%Power Play Percentage11.11%
42.86%Penalty Kill Percentage85.71%
Team Leaders
Hendrix LapierreGoals
Hendrix Lapierre
1
Gage QuinneyAssists
Gage Quinney
1
Gage QuinneyPoints
Gage Quinney
1
Mark FriedmanPlus/Minus
Mark Friedman
0
Jakub DobesWins
Jakub Dobes
0
Jakub DobesSave Percentage
Jakub Dobes
0.837

Team Stats
Goals For
2
1.00 GFG
Shots For
52
26.00 Avg
Power Play Percentage
9.1%
1 GF
Offensive Zone Start
44.7%
Goals Against
8
4.00 GAA
Shots Against
49
24.50 Avg
Penalty Kill Percentage
42.9%%
4 GA
Defensive Zone Start
42.1%
Team Info

General ManagerInterim - Flyers
DivisionNord
ConferenceEst Conference
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance3,000
Season Tickets3,000


Roster Info

Pro Team22
Farm Team18
Contract Limit40 / 50
Prospects15


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
1Jonas Rondbjerg (R)0XX100.00683095768182856660615976626567096680271775,000$
2Jakob Pelletier (R)0XX100.00713088756383887460676470696263096680253775,000$
3Hendrix Lapierre (R)0X100.00613087777079856873706864706264096680241863,333$
4Garrett Wilson0XX100.00763034738785866450616367607278096670351775,000$
5Gage Quinney0X100.00683092727283906378616467626971096670301775,000$
6Fedor Svechkov (R)0XX100.00743089847284756478636264695153096660232925,000$
7Joakim Kemell (R)0X100.00633089836989896350646263685152096660223886,667$
8Rourke Chartier0X100.00723093746981776379626165646668096650301550,000$
9Samuel Honzek (R)0XX100.00773088718479825760565664606263096630214918,333$
10Matthew Strome (R)0X100.00793080697879755855545365556567096620271550,000$
11Viktor Neuchev (R)0X100.00723094746373755950595762555153096620222870,000$
12Jakub Demek (R)0X100.00793087608879795861565860586161096620222851,683$
13Joe Hicketts0X100.00663073776480856730675668506769096680292775,000$
14Maxime Lajoie0X100.00683077737682836230645871506769096680281550,000$
15Dennis Cholowski0X100.00673093758280846530684868506666096680282775,000$
16Tristan Luneau (R)0X100.00673085767686716430705370506060096680223865,000$
17Mark Friedman0X100.00683075737182756330615074507060096670301775,000$
18Simon Lundmark (R)0X100.00723092708177855430595067506060096660252775,000$
Scratches
1Chaz Lucius (R)0X100.00753089836976746275655064585454097640222894,167$
2Jake Chiasson (R)0XX100.00763092607370724455484460506264097560222843,333$
TEAM AVERAGE100.0071308574748081625362576658626309665
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
1Jakub Dobes (R)0100.0088878389797880797880876471096780241925,000$
2Felix Sandstrom0100.0074807583737274737274736871096730291775,000$
Scratches
TEAM AVERAGE100.008184798676757776757780667109676
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Gage QuinneyPhantoms (PHI)C2011-100136130%04020.36011210000130046.94%4900000.4900000000
2Dennis CholowskiPhantoms (PHI)D2011020012000%04422.1001111100001000%000000.4500000000
3Jakob PelletierPhantoms (PHI)C/LW2011-100214140%03919.99000110000010028.57%700000.5000000000
4Hendrix LapierrePhantoms (PHI)C2101-1001581412.50%13819.26000210000000043.18%4400000.5200000000
5Fedor SvechkovPhantoms (PHI)C/LW2101-1001494111.11%14120.98101310000040040.00%1500000.4800000000
6Joakim KemellPhantoms (PHI)RW2011-100044120%03819.26000110000000025.00%400000.5200000000
7Garrett WilsonPhantoms (PHI)LW/RW2000-120712010%13417.1100003000130033.33%30000000000000
8Joe HickettsPhantoms (PHI)D2000-120311200%13718.710001900000000%00000000000000
9Rourke ChartierPhantoms (PHI)C2000-120022050%02311.5000000000010047.62%210000000000000
10Mark FriedmanPhantoms (PHI)D2000000011010%23316.640000000014000%00000000000000
11Maxime LajoiePhantoms (PHI)D2000-340323000%14221.110002900012000%00000000000000
12Matthew StromePhantoms (PHI)LW2000000110210%0136.830000000000000%10000000000000
13Jonas RondbjergPhantoms (PHI)LW/RW2000-100135310%13216.2900006000040033.33%30000000000000
14Simon LundmarkPhantoms (PHI)D2000-200310100%13517.750000000004000%00000000000000
15Tristan LuneauPhantoms (PHI)D2000000432020%34623.4800011100004000%00000000000000
16Viktor NeuchevPhantoms (PHI)LW2000000102010%0199.540000000000000%00000000000000
17Jakub DemekPhantoms (PHI)RW2000-100100010%0157.620000000000000%10000000000000
18Samuel HonzekPhantoms (PHI)C/LW2000000131010%0136.6300000000000054.55%110000000000000
Team Total or Average36246-1512030365216283.85%1259016.40123141030004380043.40%15900000.2000000000
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
1Jakub DobesPhantoms (PHI)20200.8374.00120208490000020000
Team Total or Average20200.8374.0012020849000020000


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Chaz LuciusPhantoms (PHI)C222003-05-02USAYes177 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm894,167$856,910$0$0$No894,167$--------894,167$--------No--------Link / NHL Link
Dennis CholowskiPhantoms (PHI)D281998-02-15CANNo210 Lbs6 ft2NoNoFree AgentNoYes22025-12-10FalseFalsePro & Farm775,000$742,708$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Fedor SvechkovPhantoms (PHI)C/LW232003-04-05RUSYes187 Lbs6 ft0NoNoProspectNoNo22024-06-26FalseFalsePro & Farm925,000$886,458$0$0$No925,000$--------925,000$--------No--------Link / NHL Link
Felix SandstromPhantoms (PHI)G291997-01-12SWENo191 Lbs6 ft2NoNoFree AgentNoYes12025-12-23FalseFalsePro & Farm775,000$742,708$0$0$No---------------------------Link / NHL Link
Gage QuinneyPhantoms (PHI)C301995-07-29USANo200 Lbs5 ft11NoNoFree AgentNoYes12024-11-11FalseFalsePro & Farm775,000$742,708$0$0$No---------------------------Link / NHL Link
Garrett WilsonPhantoms (PHI)LW/RW351991-03-16CANNo218 Lbs6 ft3NoNoFree AgentNoYes12026-04-08FalseFalsePro & Farm775,000$742,708$0$0$No---------------------------Link / NHL Link
Hendrix LapierrePhantoms (PHI)C242002-02-09CANYes180 Lbs6 ft0NoNoTrade2024-07-04NoNo1FalseFalsePro & Farm863,333$827,361$0$0$No---------------------------Link / NHL Link
Jake ChiassonPhantoms (PHI)C/RW222003-05-25CANYes181 Lbs6 ft2NoNoProspectNoNo22025-09-22FalseFalsePro & Farm843,333$808,194$0$0$No843,333$--------843,333$--------No--------Link / NHL Link
Jakob PelletierPhantoms (PHI)C/LW252001-03-07CANYes170 Lbs5 ft9NoNoFree AgentNoNo32025-12-10FalseFalsePro & Farm775,000$742,708$0$0$No775,000$775,000$-------775,000$775,000$-------NoNo-------Link / NHL Link
Jakub DemekPhantoms (PHI)RW222003-06-06SVKYes215 Lbs6 ft4NoNoProspectNoNo22024-11-08FalseFalsePro & Farm851,683$816,196$0$0$No851,683$--------851,683$--------No--------Link / NHL Link
Jakub DobesPhantoms (PHI)G242001-05-27CZEYes205 Lbs6 ft4NoNoProspectNoNo12024-07-22FalseFalsePro & Farm925,000$886,458$0$0$No---------------------------Link / NHL Link
Joakim KemellPhantoms (PHI)RW222004-04-27FINYes182 Lbs5 ft11NoNoProspectNoNo32024-06-26FalseFalsePro & Farm886,667$849,723$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------Link / NHL Link
Joe HickettsPhantoms (PHI)D291996-05-04CANNo180 Lbs5 ft8NoNoFree AgentNoYes22025-12-23FalseFalsePro & Farm775,000$742,708$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Jonas RondbjergPhantoms (PHI)LW/RW271999-03-30DNKYes202 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm775,000$742,708$0$0$No---------------------------Link / NHL Link
Mark FriedmanPhantoms (PHI)D301995-12-25CANNo185 Lbs5 ft11NoNoFree AgentNoYes12025-12-23FalseFalsePro & Farm775,000$742,708$0$0$No---------------------------Link / NHL Link
Matthew StromePhantoms (PHI)LW271999-01-06CANYes206 Lbs6 ft4NoNoFree AgentNoNo12026-04-08FalseFalseFarm Only550,000$527,083$0$0$No---------------------------Link / NHL Link
Maxime LajoiePhantoms (PHI)D281997-11-05CANNo196 Lbs6 ft1NoNoFree AgentNoYes12025-12-10FalseFalseFarm Only550,000$527,083$0$0$No---------------------------Link / NHL Link
Rourke ChartierPhantoms (PHI)C301996-04-03CANNo190 Lbs5 ft11NoNoFree AgentNoYes12026-04-08FalseFalseFarm Only550,000$527,083$0$0$No---------------------------Link / NHL Link
Samuel HonzekPhantoms (PHI)C/LW212004-11-12SVKYes186 Lbs6 ft4NoNoProspectNoNo42025-09-22FalseFalseFarm Only918,333$880,069$0$0$No886,666$886,666$886,666$------886,666$886,666$886,666$------NoNoNo------Link / NHL Link
Simon LundmarkPhantoms (PHI)D252000-10-08SWEYes204 Lbs6 ft2NoNoFree AgentNoNo22026-04-08FalseFalsePro & Farm775,000$742,708$0$0$No775,000$--------775,000$--------No--------Link / NHL Link
Tristan LuneauPhantoms (PHI)D222004-01-12CANYes195 Lbs6 ft1NoNoTrade2024-07-04NoNo32024-06-26FalseFalsePro & Farm865,000$828,958$0$0$No865,000$865,000$-------865,000$865,000$-------NoNo-------Link / NHL Link
Viktor NeuchevPhantoms (PHI)LW222003-10-25RUSYes165 Lbs6 ft2NoNoProspectNoNo22024-06-26FalseFalsePro & Farm870,000$833,750$0$0$No870,000$--------870,000$--------No--------Link / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2225.77192 Lbs6 ft11.77793,978$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierHendrix LapierreJoakim Kemell35014
2Fedor SvechkovGage QuinneyGarrett Wilson30122
3Viktor NeuchevRourke ChartierJonas Rondbjerg25131
4Matthew StromeSamuel HonzekJakub Demek10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiTristan Luneau34122
2Joe HickettsMaxime Lajoie33122
3Mark FriedmanSimon Lundmark33122
4Mark FriedmanSimon Lundmark0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jakob PelletierHendrix LapierreJoakim Kemell50005
2Fedor SvechkovGage QuinneyGarrett Wilson50005
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiTristan Luneau50014
2Maxime LajoieJoe Hicketts50014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Gage QuinneyJonas Rondbjerg50140
2Fedor SvechkovGarrett Wilson50140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Mark FriedmanMaxime Lajoie50140
2Simon LundmarkTristan Luneau50140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Gage Quinney50140Mark FriedmanMaxime Lajoie50140
2Fedor Svechkov50140Simon LundmarkTristan Luneau50140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Hendrix LapierreJoakim Kemell50023
2Fedor SvechkovJakob Pelletier50023
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Dennis CholowskiTristan Luneau50122
2Joe HickettsMaxime Lajoie50122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jakob PelletierHendrix LapierreJoakim KemellDennis CholowskiTristan Luneau
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Fedor SvechkovGage QuinneyJonas RondbjergMaxime LajoieMark Friedman
Extra Forwards
Normal PowerPlayPenalty Kill
Garrett Wilson, Viktor Neuchev, Jakub DemekRourke Chartier, Viktor NeuchevJakob Pelletier
Extra Defensemen
Normal PowerPlayPenalty Kill
Joe Hicketts, Simon Lundmark, Dennis CholowskiMark FriedmanDennis Cholowski, Joe Hicketts
Penalty Shots
Hendrix Lapierre, Joakim Kemell, Jakob Pelletier, Fedor Svechkov, Rourke Chartier
Goalie
#1 : Jakub Dobes, #2 : Felix Sandstrom
Custom OT Lines Forwards
Hendrix Lapierre, Joakim Kemell, Jakob Pelletier, Jonas Rondbjerg, Fedor Svechkov, Garrett Wilson, Gage Quinney, Rourke Chartier, Jakub Demek, Viktor Neuchev
Custom OT Lines Defensemen
Tristan Luneau, Dennis Cholowski, Joe Hicketts, Simon Lundmark, Maxime Lajoie


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
1Barracuda1010000003-3000000000001010000003-300.000000000200191814200127419700.00%2150.00%0297140.85%306744.78%102147.62%513544162412
2Wranglers1010000025-31010000025-30000000000000.00024600020033181420037510114125.00%5340.00%0297140.85%306744.78%102147.62%513544162412
Total2020000028-61010000025-31010000003-300.000246000200521814200491214301119.09%7442.86%0297140.85%306744.78%102147.62%513544162412
_Since Last GM Reset2020000028-61010000025-31010000003-300.000246000200521814200491214301119.09%7442.86%0297140.85%306744.78%102147.62%513544162412

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
20L2246524912143000
All Games
GPWLOTWOTL SOWSOLGFGA
202000028
Home Games
GPWLOTWOTL SOWSOLGFGA
101000025
Visitor Games
GPWLOTWOTL SOWSOLGFGA
101000003
Last 10 Games
WLOTWOTL SOWSOL
020000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1119.09%7442.86%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
18142000200
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
297140.85%306744.78%102147.62%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
513544162412


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
12Phantoms0Barracuda3LBox score
225Wranglers5Phantoms2LBox score
338Phantoms-Penguins-
543Thunderbirds-Phantoms-
661Phantoms-Eagles-
780Penguins-Phantoms-
996IceHogs-Phantoms-
10108Phantoms-Wild-
11112Phantoms-Marlies-
12134Phantoms-Stars-
13141Comets-Phantoms-
14157Phantoms-Griffins-
15165Wild-Phantoms-
17184Rocket-Phantoms-
18203Condors-Phantoms-
20219Phantoms-Canucks-
21234Phantoms-Barracuda-
22245Phantoms-Islanders-
23248Crunch-Phantoms-
24266Wolf Pack-Phantoms-
25282Phantoms-Wolf Pack-
26291Phantoms-Comets-
27304Reign-Phantoms-
28317Phantoms-Senators-
30333Americans-Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
31348Phantoms-Wolves-
32359Islanders-Phantoms-
33372Phantoms-Bears-
34389Bears-Phantoms-
35394Phantoms-Bruins-
37416Admirals-Phantoms-
39437Wolves-Phantoms-
42463Moose-Phantoms-
43468Phantoms-Thunderbirds-
45485Phantoms-Checkers-
48503Gulls-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3515
Attendance2,0001,000
Attendance PCT100.00%100.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
17 3000 - 100.00% 126,650$126,650$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
76,740$ 1,746,751$ 1,745,918$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
36,373$ 76,705$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
2,153,050$ 46 36,391$ 1,673,986$




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