Phantoms

GP: 0 | W: 0 | L: 0 | OTL: 0 | P: 0
GF: 0 | GA: 0 | PP%: 0.00% | PK%: 0.00%
GM : Kriss Cardenas | Morale : 50 | Team Overall : 63
Next Games #16 vs Wolfpack

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# 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
1Liam Foudy0XX100.007038936979867965666163646866678150650
2Riley Nash0X100.006939786375838062706159656279774250640
3Seth Griffith0XX100.005837856467758663766859586171734550630
4Mike Hardman0XXX100.007738856381798462585660615965674250630
5Marian Studenic0XX100.006837896275808557616358606266685350620
6Matthew Strome0X100.007941805988697558605755565465675850600
7Hayden Hodgson0X100.007755535882697757605655595768703650600
8Cory Conacher0XXX100.005640705965747558555756545975772350590
9Nikolai Knyzhov0X100.007640826288837561306059675066684250660
10Matt Irwin0X100.007653836280788457306056684878792050660
11Adam Ginning0X100.007342706383808559305862645065666950650
12Cameron Crotty0X100.007939855980758258305756625165676250630
13Steven Kampfer0X100.006339786172777958306354564776813050620
14Helge Grans0X100.007840875887698156305452574562647650620
15Nolan Allan (R)0X100.007055755879657057305654624661637750610
16Cameron Gaunce0X100.006742705876677754305552574574763850600
17Artemi Kniazev0X100.005939825768807455305951544663657250590
Scratches
TEAM AVERAGE100.00704279617876795946595760546970515062
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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
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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 Tomkins100.00777671857675777675777670845150750
2Luke Cavallin100.00657167806463656463656463694550650
Scratches
TEAM AVERAGE100.0071746983706971706971706777485070
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Vellucci73697271878160USA5881,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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
Filter Tips
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1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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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


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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
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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 GinningD242000-01-13No196 Lbs6 ft3NoNoNo3RFAPro & Farm500,000$0$0$NoLink / NHL Link
Artemi KniazevD232001-01-04No178 Lbs5 ft11NoNoNo2RFAPro & Farm500,000$0$0$NoLink / NHL Link
Cameron CrottyD251999-05-05No182 Lbs6 ft3NoNoNo1RFAPro & Farm300,000$0$0$NoLink / NHL Link
Cameron GaunceD341990-03-19No194 Lbs6 ft1NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Cory ConacherC/LW/RW341989-12-14No185 Lbs5 ft8NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Hayden HodgsonRW281996-03-02No208 Lbs6 ft2NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Helge GransD222002-05-10No205 Lbs6 ft4NoNoNo2ELCPro & Farm900,000$0$0$NoLink / NHL Link
Liam FoudyC/RW242000-02-04No193 Lbs6 ft2NoNoNo1RFAPro & Farm900,000$0$0$NoLink / NHL Link
Luke CavallinG232001-04-29No196 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Marian StudenicLW/RW251998-10-28No190 Lbs6 ft1NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt IrwinD361987-11-29No200 Lbs6 ft2NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Matt TomkinsG301994-06-19No191 Lbs6 ft4NoNoNo3UFAPro & Farm500,000$0$0$NoLink / NHL Link
Matthew StromeLW251999-01-06No206 Lbs6 ft4NoNoNo4RFAPro & Farm300,000$0$0$NoLink / NHL Link
Mike HardmanC/LW/RW251999-02-05No205 Lbs6 ft2NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nikolai KnyzhovD261998-03-20No222 Lbs6 ft3NoNoNo2RFAPro & Farm300,000$0$0$NoLink / NHL Link
Nolan AllanD212003-04-28Yes195 Lbs6 ft2NoNoNo4ELCPro & Farm500,000$0$0$NoNHL Link
Riley NashC351989-05-09No187 Lbs6 ft1NoNoNo1UFAPro & Farm300,000$0$0$NoLink / NHL Link
Seth GriffithC/RW311993-01-04No190 Lbs5 ft9NoNoNo1UFAPro & Farm500,000$0$0$NoLink / NHL Link
Steven KampferD361988-09-24No198 Lbs5 ft11NoNoNo2UFAPro & Farm500,000$0$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
1927.74196 Lbs6 ft11.95457,895$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike HardmanLiam FoudySeth Griffith40122
2Marian StudenicRiley NashHayden Hodgson30122
3Matthew StromeCory ConacherNolan Allan20122
4Riley NashLiam FoudySeth Griffith10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovMatt Irwin40122
2Adam GinningCameron Crotty30122
3Steven KampferHelge Grans20122
4Nolan AllanCameron Gaunce10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Mike HardmanLiam FoudySeth Griffith60122
2Marian StudenicRiley NashHayden Hodgson40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovMatt Irwin60122
2Adam GinningCameron Crotty40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Liam FoudyRiley Nash60122
2Seth GriffithMike Hardman40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovMatt Irwin60122
2Adam GinningCameron Crotty40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Liam Foudy60122Nikolai KnyzhovMatt Irwin60122
2Riley Nash40122Adam GinningCameron Crotty40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Liam FoudyRiley Nash60122
2Seth GriffithMike Hardman40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Nikolai KnyzhovMatt Irwin60122
2Adam GinningCameron Crotty40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Mike HardmanLiam FoudySeth GriffithNikolai KnyzhovMatt Irwin
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Mike HardmanLiam FoudySeth GriffithNikolai KnyzhovMatt Irwin
Extra Forwards
Normal PowerPlayPenalty Kill
Matthew Strome, Cory Conacher, Marian StudenicMatthew Strome, Cory ConacherMarian Studenic
Extra Defensemen
Normal PowerPlayPenalty Kill
Artemi Kniazev, Steven Kampfer, Helge GransArtemi KniazevSteven Kampfer, Helge Grans
Penalty Shots
Liam Foudy, Riley Nash, Seth Griffith, Mike Hardman, Marian Studenic
Goalie
#1 : Matt Tomkins, #2 : Luke Cavallin


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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
00N/A0000000000
All Games
GPWLOTWOTL SOWSOLGFGA
000000000
Home Games
GPWLOTWOTL SOWSOLGFGA
000000000
Visitor Games
GPWLOTWOTL SOWSOLGFGA
000000000
Last 10 Games
WLOTWOTL SOWSOL
000000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
000.00%000.00%0
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
00000000
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
000.00%000.00%000.00%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
000000


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
9 - 2024-09-2416Wolfpack-Phantoms-
15 - 2024-09-3036Phantoms-Penguins-
16 - 2024-10-0151Penguins-Phantoms-
22 - 2024-10-0770Phantoms-Wolfpack-
23 - 2024-10-0889Griffins-Phantoms-
24 - 2024-10-0998Griffins-Phantoms-
27 - 2024-10-12106Phantoms-Bears-
30 - 2024-10-15129Phantoms-Thunderbirds-
34 - 2024-10-19144Phantoms-Penguins-
36 - 2024-10-21152Penguins-Phantoms-
37 - 2024-10-22163Comets-Phantoms-
41 - 2024-10-26186Penguins-Phantoms-
43 - 2024-10-28195Phantoms-Thunderbirds-
44 - 2024-10-29209Bears-Phantoms-
50 - 2024-11-04232Phantoms-Bruins-
51 - 2024-11-05249Phantoms-Bruins-
55 - 2024-11-09261Phantoms-Wolfpack-
57 - 2024-11-11271Bears-Phantoms-
58 - 2024-11-12287Rocket-Phantoms-
62 - 2024-11-16303IceHogs-Phantoms-
65 - 2024-11-19325Bears-Phantoms-
66 - 2024-11-20336Phantoms-Bears-
68 - 2024-11-22341Phantoms-Marlies-
70 - 2024-11-24351Phantoms-Monsters-
72 - 2024-11-26367Phantoms-Monsters-
76 - 2024-11-30389Bruins-Phantoms-
78 - 2024-12-02401Marlies-Phantoms-
79 - 2024-12-03413Phantoms-Penguins-
85 - 2024-12-09431Phantoms-Penguins-
86 - 2024-12-10446Checkers-Phantoms-
89 - 2024-12-13463Checkers-Phantoms-
92 - 2024-12-16472Phantoms-Comets-
93 - 2024-12-17485Phantoms-Crunch-
96 - 2024-12-20501Phantoms-Bears-
99 - 2024-12-23515Wolfpack-Phantoms-
100 - 2024-12-24524Phantoms-Wolfpack-
101 - 2024-12-25538Phantoms-Islanders-
104 - 2024-12-28552Senators-Phantoms-
106 - 2024-12-30562Phantoms-Americans-
107 - 2024-12-31572Americans-Phantoms-
113 - 2025-01-06607Thunderbirds-Phantoms-
114 - 2025-01-07620Islanders-Phantoms-
115 - 2025-01-08629Phantoms-Penguins-
118 - 2025-01-11635Phantoms-Islanders-
127 - 2025-01-20680Monsters-Phantoms-
128 - 2025-01-21698Wolfpack-Phantoms-
134 - 2025-01-27724Phantoms-Penguins-
135 - 2025-01-28735Crunch-Phantoms-
136 - 2025-01-29745Penguins-Phantoms-
139 - 2025-02-01760Phantoms-Griffins-
141 - 2025-02-03771Phantoms-Griffins-
142 - 2025-02-04786Phantoms-IceHogs-
145 - 2025-02-07803Phantoms-Admirals-
148 - 2025-02-10819Islanders-Phantoms-
149 - 2025-02-11833Islanders-Phantoms-
150 - 2025-02-12842Phantoms-Bears-
156 - 2025-02-18871Phantoms-Checkers-
Trade Deadline --- Trades can’t be done after this day is simulated!
157 - 2025-02-19883Phantoms-Checkers-
162 - 2025-02-24906Penguins-Phantoms-
164 - 2025-02-26925Penguins-Phantoms-
167 - 2025-03-01939Admirals-Phantoms-
169 - 2025-03-03949Crunch-Phantoms-
170 - 2025-03-04967Bruins-Phantoms-
176 - 2025-03-10993Phantoms-Senators-
177 - 2025-03-111008Phantoms-Rocket-
181 - 2025-03-151028Phantoms-Islanders-
183 - 2025-03-171045Bears-Phantoms-
184 - 2025-03-181057Thunderbirds-Phantoms-
190 - 2025-03-241080Phantoms-Crunch-
191 - 2025-03-251100Bears-Phantoms-
197 - 2025-03-311128Monsters-Phantoms-
198 - 2025-04-011140Phantoms-Bears-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Arena Capacity20001000
Ticket Price3515
Attendance0.00%0.00%
Attendance PCT0.00%0.00%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
36 0 - 0.00%0$0$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
10,924$ 87,000$ 0$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 874$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 197 5,462$ 1,076,014$




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
Regular Season
1282521903413260123137413070110215455994122120231110668381192604777370180967783240607498108381588471152718375177414.31%6035291.38%71695273262.04%1368228659.84%744116463.92%230216431674573979526
1376462102142227137903826110001012380433820100213210457471072274106370150827861200306646536721513452141516444597816.99%5385989.03%51301240554.10%1185214155.35%528103451.06%213915321560524896483
147634260148319514649381814002221007822381612012619568279319534253718064507219220618655633169649095114603606116.94%3614886.70%11379242056.98%1181217454.32%569109252.11%205414741648521919478
158237360025224922029412316000201431043941142000232106116-108824944369203092767625760874815874193162693415534297016.32%3725684.95%11530274655.72%1218229653.05%680123255.19%209815051881579976496
16825117034522791501294128601240163659841231102212116853112427950678511401179361238308028087601789545101515114186515.55%4085586.52%31573259760.57%1357231758.57%689116459.19%228316721719550964512
17723820053332381419736171104112112644836219012211267749982384476850130109695221520740703682159844882013603656016.44%3524288.07%31413227862.03%1186205057.85%611101959.96%202114731492479850457
18723132042032302141636181400103123982536131804100107116-975230420650030101755021340726685707164946386213063615916.34%3497179.66%31375225860.89%1039173160.02%670106962.68%205515101432463853463
Total Regular Season542289171018202618167811315472711607906710991854437427112992012131697605871737041678304547232740661518455155760517351295166117643495752410671290946716.05%298338387.16%23102661743658.88%85341499556.91%4491777457.77%149531081411409369364413419
Playoff
112416800000584414116500000262241310300000322210325810015803015192058701771851785341464485231932311.92%1982089.90%242981352.77%43481053.58%16734348.69%626424614202316155
12954000002119243100000981523000001211110213960000777222056677620447193199921010.87%74691.89%118833855.62%16330852.92%8814560.69%2571742207812565
13514000001012-22020000035-2312000007702101828000262121048403311426991074237.14%46980.43%09917257.56%8117546.29%235740.35%11779123405928
161165000002527-2642000001615152300000912-3122544690008672670848878267671251907157.04%58886.21%017536348.21%17135348.44%7615848.10%2731892788614269
17624000001320-730300000410-632100000910-1413263900055313805541421694911610029310.34%47785.11%08018343.72%8518845.21%378145.68%12582162477233
Total Playoff553025000001271225261313000005860-229171200000696276012722735403037433913350420421407128833598111194274410.30%4235088.18%3971186951.95%934183450.93%39178449.87%14009491400454716353