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Phantoms
GP: 82 | W: 42 | L: 31 | OTL: 9 | P: 93
GF: 251 | GA: 233 | PP%: 38.07% | PK%: 67.51%
GM : Pascal Garneau | Morale : 50 | Team Overall : 59
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Game Center
Phantoms
42-31-9, 93pts
2
FINAL
3 National
50-23-9, 109pts
Team Stats
W1StreakL1
22-13-6Home Record24-10-7
20-18-3Away Record26-13-2
3-6-1Last 10 Games6-3-1
3.06Goals Per Game3.39
2.84Goals Against Per Game2.68
38.07%Power Play Percentage38.59%
67.51%Penalty Kill Percentage66.57%
Jarrets Noirs
31-41-10, 72pts
3
FINAL
8 Phantoms
42-31-9, 93pts
Team Stats
L3StreakW1
16-17-8Home Record22-13-6
15-24-2Away Record20-18-3
2-8-0Last 10 Games3-6-1
2.90Goals Per Game3.06
3.83Goals Against Per Game2.84
38.79%Power Play Percentage38.07%
52.51%Penalty Kill Percentage67.51%
Team Leaders
Goals
Jonas Siegenthaler
1
Assists
Jonas Siegenthaler
5
Points
Jonas Siegenthaler
6
Plus/Minus
Arber Xhekaj
5
Keith KinkaidWins
Keith Kinkaid
19
Keith KinkaidSave Percentage
Keith Kinkaid
0.909

Team Stats
Goals For
251
3.06 GFG
Shots For
2572
31.37 Avg
Power Play Percentage
38.1%
134 GF
Offensive Zone Start
37.8%
Goals Against
233
2.84 GAA
Shots Against
2372
28.93 Avg
Penalty Kill Percentage
67.5%
115 GA
Defensive Zone Start
37.0%
Team Info

General ManagerPascal Garneau
CoachRoy Sommer
DivisionNouvelle-Angleterre
ConferenceEst
Captain
Assistant #1Josh Archibald
Assistant #2Vincent Hinostroza


Arena Info

Capacity3,000
Attendance2,105
Season Tickets300


Roster Info

Pro Team40
Farm Team22
Contract Limit62 / 75
Prospects97


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 Average
1Alexis LafreniereX100.00763787856378975848485258554561047660211900,000$
2Pavol Regenda (R)X100.00472594815679814355454555505154050580234750,000$
3Adam Ruzicka (R)X100.00643494815961344653464758475161050570231650,000$
4Jayden Halbgewachs (R)X100.00613395875156254148454565465765050550253750,000$
5Marc McLaughlinX100.00593295825055254546444855495160050550233750,000$
6Ben MeyersX100.00563295825055254546444854495461050550242750,000$
7Brandon BaddockX100.00573295805054254547444854496365050550271850,000$
8Alex Steeves (R)X100.00603595847255254147454555465160050540233575,000$
9Bryce Kindopp (R)X100.00603295854555254047454564465161050540233750,000$
10Mitchell Chaffee (R)X100.00613395824755254048454565465463050540242750,000$
11Adam Raska (R)X100.00633695844356254047454565464559050540213625,000$
12Nick Caamano (R)X100.00673586834959403945434353445461050530244750,000$
13J.J. Moser (R)X100.00663290895566525647484066405162050640223725,000$
14Riley StillmanX100.00824985845865595448493867505768050640243900,000$
15Gustav LindstromX100.00683291875567635248483866475765050630242750,000$
16Christian WolaninX100.00613295856755274549483858506667050580272750,000$
17Connor Mackey (R)X100.00613195836251254348453750386364050550261800,000$
18Darren Raddysh (R)X100.00613195826151254248453752386364050550263800,000$
Scratches
1Vincent Hinostroza (A)X100.006833888754727458504950634966710506602831,999,000$
2Owen TippettX100.007635938365727855494950635051650536502331,000,000$
3Philipp KurashevX100.00673491855774885453495061535163050640231650,000$
4Ryan CarpenterX100.008339858356738348624749704975790506403112,250,000$
5Taylor Raddysh (R)X100.00783492855873895448484963495467040640243750,000$
6Noah GregorX100.00783691855872705249484961495466050630241775,000$
7Josh Archibald (A)X100.009855818560665850634750685072800506303011,850,000$
8Jacob Peterson (R)X100.00643392875269785151464962545162050620232650,000$
9Parker Kelly (R)X100.00827085855664504748464768485166041600231750,000$
10John LeonardX100.00653395824864514848474962495464050590241625,000$
11Austin WagnerX100.00663693858761554644444957505764050590253825,000$
12Scott Reedy (R)X100.00623394825463424550464763485162050580233650,000$
13Jack Quinn (R)X100.00603495855956255047474866484559050580213875,000$
14Mark Kastelic (R)X100.00694294827458254253464665465163050560233650,000$
15Nathan Smith (R)X100.00643395864758254250464665465464050560242750,000$
16Kurtis MacDermidX100.007555798063616747494839585069710506102811,000,000$
17Kyle BurroughsX100.008145878457594547494638574766700505902731,200,000$
TEAM AVERAGE100.0068379184576349474946456148566404959
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 SP
1Jon Gillies100.0062428479677673646644576560050600
2Alexei Melnichuk (R)100.0054286468686765616539524947050520
Scratches
1Daniel Vladar (R)100.0068517674757975717359605358011670
2Keith Kinkaid100.0065367173757573707265578569050660
3Felix Sandstrom (R)100.0062357073747472687154575352050610
TEAM AVERAGE100.006238737372747267695257615704261
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Roy Sommer69606878717260USA6521,000,000$


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
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
1Vincent HinostrozaPhantoms (PHI)C77475710423201341613497816613.47%41172522.413137685223611292476353.22%25638667211.212100001386
2Alexis LafrenierePhantoms (PHI)LW733655916540139882879020512.54%57162322.242435595022001192183449.18%12211859121.12510000794
3Owen TippettPhantoms (PHI)RW783746837220118882427114215.29%39160320.562133543323510151337352.50%1608157111.0319000678
4Taylor RaddyshPhantoms (PHI)RW76302252-112085582306810013.04%21116115.29171431241690110178053.33%609537000.9000000264
5J.J. MoserPhantoms (PHI)D81113546-1362012213312353568.94%115214626.4911213220249011425411100.00%137139000.4300000302
6Riley StillmanPhantoms (PHI)D78103444-11113515714311648528.62%119206026.4291928212500004232110.00%038132000.4301000033
7Philipp KurashevPhantoms (PHI)C81102838-1140758519165965.24%29115214.22512177841016661053.42%5997338000.6612000032
8Ryan CarpenterPhantoms (PHI)C81102838-340014610617055995.88%27122715.1541115111220114890157.24%7467756000.6215000132
9Parker KellyPhantoms (PHI)LW77131932-181251359413147819.92%28126616.4571219131721122694236.17%475650000.5100302201
10Gustav LindstromPhantoms (PHI)D8221517-312068916040333.33%75169520.6818931670002201000.00%01990000.2001000000
11Austin WagnerPhantoms (PHI)LW767916-24054468521548.24%1690211.870221290112281140.54%374626000.3500000010
12Josh ArchibaldPhantoms (PHI)RW8112315-770101266715540957.74%25102512.671121301126652072.09%436548000.2901110004
13Noah GregorPhantoms (PHI)C72661206064389030676.67%126599.160000141015190151.40%1794717000.3600000120
14Kurtis MacDermidPhantoms (PHI)D80010100960111655916220.00%58151618.9504431390003140000.00%01189000.1300000000
15John LeonardPhantoms (PHI)LW74459-62041347124395.63%126789.18011041011130157.14%143423000.2700000003
16Jack QuinnPhantoms (PHI)RW78167-34026399622611.04%176708.5900006000000026.67%154330000.2100000000
17Jonas SiegenthalerFlyersD13156-11402431156106.67%2635727.48134336000038000.00%0931000.3400000000
18Arber XhekajFlyersD680555114109529241270.00%3491813.5000009000073000.00%0252000.1100011000
19Kyle BurroughsPhantoms (PHI)D81033102006442221280.00%46106613.17000018000034000.00%1743000.0600000000
20Adam RuzickaPhantoms (PHI)C12133001041350.00%02020.0510111000000059.38%3222002.9900000010
21Pavol RegendaPhantoms (PHI)LW23112-2008691911.11%51968.5401101000020066.67%348000.2000000000
22Adam RaskaPhantoms (PHI)RW111230000112100.00%11919.270110100000100.00%100002.0800000001
23Bryce KindoppPhantoms (PHI)RW41011001130133.33%1389.630000000000100.00%213000.5200000000
24Nathan SmithPhantoms (PHI)C210110001120100.00%0189.4600000000000040.00%530001.0600000000
25Ben MeyersPhantoms (PHI)C1011000120020.00%01515.7301101000000072.73%1121001.2700000000
26Mitchell ChaffeePhantoms (PHI)RW81010005181212.50%1688.5310112000000175.00%404000.2900000000
27Brandon BaddockPhantoms (PHI)LW4011-100104230.00%24010.05000000000000100.00%103000.5000000000
28Nick CaamanoPhantoms (PHI)RW11010002020150.00%01010.220000000000000.00%001001.9600000000
29Connor MackeyPhantoms (PHI)D2000100010000.00%02311.910000000001000.00%000000.0000000000
30Christian WolaninPhantoms (PHI)D1000200001000.00%02121.020000200000000.00%002000.0000000000
31Jacob PetersonPhantoms (PHI)C9000-100113146110.00%1829.1800002000090057.14%2853000.0000000000
32Alex SteevesPhantoms (PHI)C1000000003220.00%11010.2200000000000050.00%400000.0000000000
33Jayden HalbgewachsPhantoms (PHI)LW1000000111100.00%11212.1000000000000075.00%410000.0000000000
34Darren RaddyshPhantoms (PHI)D1000000002000.00%01010.680000000000000.00%001000.0000000000
35Marc McLaughlinPhantoms (PHI)C1000000101000.00%11111.0000000000000075.00%410000.0000000000
Team Total or Average1468245396641-157725018161454257081514299.53%8112405716.3913421635024422117815621961361953.65%46869631112440.531039423354340
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
1Keith KinkaidPhantoms (PHI)39191640.9092.612344211021117575440.722183941251
2Daniel VladarPhantoms (PHI)34181230.9052.6120232088927462100.833183317310
3Felix SandstromPhantoms (PHI)94320.8983.395480131303148101.0002923200
4Alexei MelnichukPhantoms (PHI)11000.8573.0060003215000.000010000
Team Total or Average83423190.9052.7049764222423681190640.789388281761


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 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
Adam RaskaPhantoms (PHI)RW212001-01-01Yes178 Lbs5 ft10NoNoNo3Pro & Farm625,000$0$0$No625,000$625,000$
Adam RuzickaPhantoms (PHI)C231999-01-01Yes220 Lbs6 ft4NoNoNo1Pro & Farm650,000$0$0$No
Alex SteevesPhantoms (PHI)C231999-01-01Yes185 Lbs5 ft11NoNoNo3Pro & Farm575,000$0$0$No575,000$575,000$
Alexei MelnichukPhantoms (PHI)G241998-01-01Yes190 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$No
Alexis LafrenierePhantoms (PHI)LW212001-01-01No196 Lbs6 ft2NoNoNo1Pro & Farm900,000$0$0$No
Austin WagnerPhantoms (PHI)LW251997-01-01No185 Lbs6 ft1NoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$
Ben MeyersPhantoms (PHI)C241998-01-01No194 Lbs5 ft11NoNoNo2Pro & Farm750,000$0$0$No750,000$
Brandon BaddockPhantoms (PHI)LW271995-01-01No218 Lbs6 ft3NoNoNo1Pro & Farm850,000$0$0$No
Bryce KindoppPhantoms (PHI)RW231999-01-01Yes185 Lbs6 ft1NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Christian WolaninPhantoms (PHI)D271995-01-01No190 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Connor MackeyPhantoms (PHI)D261996-01-01Yes201 Lbs6 ft2NoNoNo1Pro & Farm800,000$0$0$No
Daniel VladarPhantoms (PHI)G251997-01-01Yes185 Lbs6 ft5NoNoNo1Pro & Farm750,000$0$0$No
Darren RaddyshPhantoms (PHI)D261996-01-01Yes200 Lbs6 ft1NoNoNo3Pro & Farm800,000$0$0$No800,000$800,000$
Felix SandstromPhantoms (PHI)G251997-01-01Yes191 Lbs6 ft2NoNoNo4Pro & Farm825,000$0$0$No825,000$825,000$825,000$
Gustav LindstromPhantoms (PHI)D241998-01-01No183 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$
J.J. MoserPhantoms (PHI)D222000-01-01Yes173 Lbs6 ft1NoNoNo3Pro & Farm725,000$0$0$No725,000$725,000$
Jack QuinnPhantoms (PHI)RW212001-01-01Yes185 Lbs6 ft0NoNoNo3Pro & Farm875,000$0$0$No875,000$875,000$
Jacob PetersonPhantoms (PHI)C231999-01-01Yes180 Lbs6 ft1NoNoNo2Pro & Farm650,000$0$0$No650,000$
Jayden HalbgewachsPhantoms (PHI)LW251997-01-01Yes160 Lbs5 ft8NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
John LeonardPhantoms (PHI)LW241998-01-01No196 Lbs5 ft11NoNoNo1Pro & Farm625,000$0$0$No
Jon GilliesPhantoms (PHI)G281994-01-01No223 Lbs6 ft6NoNoNo3Pro & Farm825,000$0$0$No825,000$825,000$
Josh ArchibaldPhantoms (PHI)RW301992-01-01No176 Lbs5 ft10NoNoNo1Pro & Farm1,850,000$0$0$NoNHL Link
Keith KinkaidPhantoms (PHI)G331989-01-01No186 Lbs6 ft3NoNoNo2Pro & Farm1,400,000$0$0$No1,400,000$NHL Link
Kurtis MacDermidPhantoms (PHI)D281994-01-01No233 Lbs6 ft5NoNoNo1Pro & Farm1,000,000$0$0$NoNHL Link
Kyle BurroughsPhantoms (PHI)D271995-01-01No193 Lbs6 ft0NoNoNo3Pro & Farm1,200,000$0$0$No1,200,000$1,200,000$
Marc McLaughlinPhantoms (PHI)C231999-01-01No198 Lbs6 ft0NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Mark KastelicPhantoms (PHI)C231999-01-01Yes210 Lbs6 ft3NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Mitchell ChaffeePhantoms (PHI)RW241998-01-01Yes201 Lbs6 ft1NoNoNo2Pro & Farm750,000$0$0$No750,000$
Nathan SmithPhantoms (PHI)C241998-01-01Yes177 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$
Nick CaamanoPhantoms (PHI)RW241998-01-01Yes200 Lbs6 ft3NoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$
Noah GregorPhantoms (PHI)C241998-01-01No190 Lbs6 ft0NoNoNo1Pro & Farm775,000$0$0$No
Owen TippettPhantoms (PHI)RW231999-01-01No207 Lbs6 ft1NoNoNo3Pro & Farm1,000,000$0$0$No1,000,000$1,000,000$NHL Link
Parker KellyPhantoms (PHI)LW231999-01-01Yes188 Lbs6 ft0NoNoNo1Pro & Farm750,000$0$0$No
Pavol RegendaPhantoms (PHI)LW231999-01-01 02:03:17Yes212 Lbs6 ft4NoNoNo4Pro & Farm750,000$0$0$No750,000$750,000$750,000$
Philipp KurashevPhantoms (PHI)C231999-01-01No190 Lbs6 ft0NoNoNo1Pro & Farm650,000$0$0$No
Riley StillmanPhantoms (PHI)D241998-01-01No196 Lbs6 ft1NoNoNo3Pro & Farm900,000$0$0$No900,000$900,000$
Ryan Carpenter (1 Way Contract)Phantoms (PHI)C311991-01-01No200 Lbs6 ft0NoNoNo1Farm Only2,250,000$1,125,000$0$NoNHL Link
Scott ReedyPhantoms (PHI)C231999-01-01Yes205 Lbs6 ft2NoNoNo3Pro & Farm650,000$0$0$No650,000$650,000$
Taylor RaddyshPhantoms (PHI)RW241998-01-01Yes198 Lbs6 ft3NoNoNo3Pro & Farm750,000$0$0$No750,000$750,000$
Vincent HinostrozaPhantoms (PHI)C281994-01-01No177 Lbs5 ft10NoNoNo3Pro & Farm1,999,000$0$0$No1,999,000$1,999,000$
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4024.73194 Lbs6 ft12.25884,350$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexis LafreniereAdam RuzickaAdam Raska40122
2Pavol RegendaBen MeyersMitchell Chaffee30122
3Jayden HalbgewachsMarc McLaughlinBryce Kindopp20122
4Brandon BaddockAlex SteevesNick Caamano10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanJ.J. Moser40122
2Gustav LindstromChristian Wolanin30122
3Darren RaddyshConnor Mackey20122
4Riley StillmanJ.J. Moser10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Alexis LafreniereAdam RuzickaAdam Raska60122
2Pavol RegendaBen MeyersMitchell Chaffee40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanJ.J. Moser60122
2Gustav LindstromChristian Wolanin40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Alexis LafrenierePavol Regenda60122
2Adam RuzickaBen Meyers40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanJ.J. Moser60122
2Gustav LindstromChristian Wolanin40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Alexis Lafreniere60122Riley StillmanJ.J. Moser60122
2Pavol Regenda40122Gustav LindstromChristian Wolanin40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Alexis LafrenierePavol Regenda60122
2Adam RuzickaBen Meyers40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Riley StillmanJ.J. Moser60122
2Gustav LindstromChristian Wolanin40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Alexis LafreniereAdam RuzickaAdam RaskaRiley StillmanJ.J. Moser
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Alexis LafreniereAdam RuzickaAdam RaskaRiley StillmanJ.J. Moser
Extra Forwards
Normal PowerPlayPenalty Kill
Jayden Halbgewachs, Brandon Baddock, Marc McLaughlinJayden Halbgewachs, Brandon BaddockMarc McLaughlin
Extra Defensemen
Normal PowerPlayPenalty Kill
Darren Raddysh, Connor Mackey, Gustav LindstromDarren RaddyshConnor Mackey, Gustav Lindstrom
Penalty Shots
Alexis Lafreniere, Pavol Regenda, Adam Ruzicka, Ben Meyers, Jayden Halbgewachs
Goalie
#1 : Alexei Melnichuk, #2 : Jon Gillies


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
13L513001001020-1031100100711-42020000039-630.3001018280030971161215261294999653151476310917741.18%241058.33%1956179353.32%930175652.96%643119553.81%181098816877301484788
2Armada21000100321110000002021000010012-130.750347013097116125061294999653512012416116.67%60100.00%0956179353.32%930175652.96%643119553.81%181098816877301484788
3Barons3110000189-1210000015411010000035-230.500814220030971161298612949996531051728534125.00%14657.14%0956179353.32%930175652.96%643119553.81%181098816877301484788
4Chops33000000204162200000011381100000091861.000203656003097116121016129499965343165066201470.00%15286.67%0956179353.32%930175652.96%643119553.81%181098816877301484788
5Comets 312000001011-12020000069-31100000042220.33310162600309711612896129499965310342386513430.77%191047.37%2956179353.32%930175652.96%643119553.81%181098816877301484788
6Draveurs330000001165220000007431100000042261.0001115260030971161297612949996536223297414750.00%12191.67%0956179353.32%930175652.96%643119553.81%181098816877301484788
7Griffins33000000945110000004222200000052361.000915240030971161296612949996539127307114428.57%14378.57%0956179353.32%930175652.96%643119553.81%181098816877301484788
8Heat 3110000158-3210000013301010000025-330.50059140130971161210661294999653672726779444.44%13653.85%0956179353.32%930175652.96%643119553.81%181098816877301484788
9IceHogs2200000012210110000009181100000031241.0001218300030971161264612949996534815223812650.00%60100.00%1956179353.32%930175652.96%643119553.81%181098816877301484788
10Jarrets Noirs31101000151052110000010641000100054140.66715233800309711612113612949996536935377016637.50%12375.00%0956179353.32%930175652.96%643119553.81%181098816877301484788
11Monarchs220000001064110000004221100000064241.0001011210030971161253612949996533612143612975.00%7271.43%1956179353.32%930175652.96%643119553.81%181098816877301484788
12Monster312000001012-220200000411-71100000061520.33310162600309711612956129499965310128336217741.18%14657.14%1956179353.32%930175652.96%643119553.81%181098816877301484788
13Mosquitos22000000936110000004131100000052341.000916250030971161259612949996533413254712433.33%10190.00%0956179353.32%930175652.96%643119553.81%181098816877301484788
14National623000011720-32010000158-3422000001212050.4171729461030971161218061294999653191554215031722.58%21766.67%0956179353.32%930175652.96%643119553.81%181098816877301484788
15Pantheres714000202426-220100010880513000101618-260.42924355910309711612225612949996532438458130341235.29%291162.07%0956179353.32%930175652.96%643119553.81%181098816877301484788
16Rambo3120000048-4110000002112020000027-520.3334711003097116128961294999653833224758112.50%13469.23%0956179353.32%930175652.96%643119553.81%181098816877301484788
17Rapido5200002114104310000119812100001052390.9001420340030971161215661294999653145564011123626.09%20480.00%0956179353.32%930175652.96%643119553.81%181098816877301484788
18Red Bull2020000039-61010000024-21010000015-400.000369003097116126261294999653802220387228.57%10640.00%0956179353.32%930175652.96%643119553.81%181098816877301484788
19Rocket21100000550110000004221010000013-220.5005914003097116126061294999653431514486350.00%7271.43%0956179353.32%930175652.96%643119553.81%181098816877301484788
20Sea Dogs311000106601010000024-22100001042240.66768141030971161210761294999653803718757342.86%9188.89%0956179353.32%930175652.96%643119553.81%181098816877301484788
21Silver Knights42100100141132200000011472010010037-450.625142337003097116121176129499965315052268419736.84%12741.67%1956179353.32%930175652.96%643119553.81%181098816877301484788
22Spartans31200000812-4211000007701010000015-420.3338132110309711612112612949996538332206313538.46%10460.00%0956179353.32%930175652.96%643119553.81%181098816877301484788
23Thunderbirds20101000660100010004311010000023-120.500610160030971161264612949996535616275612433.33%11463.64%0956179353.32%930175652.96%643119553.81%181098816877301484788
24Trashers3010011078-11000010034-12010001044030.500781500309711612796129499965310432266811436.36%13469.23%0956179353.32%930175652.96%643119553.81%181098816877301484788
25Wolf Pack513000011115-42020000036-33110000189-130.3001119300030971161214861294999653153596612015640.00%331166.67%0956179353.32%930175652.96%643119553.81%181098816877301484788
Total8234310246525123318411913012241361162041151801241115117-2930.567251398649423097116122572612949996532372814788182735213438.07%35411567.51%7956179353.32%930175652.96%643119553.81%181098816877301484788
_Since Last GM Reset8234310246525123318411913012241361162041151801241115117-2930.567251398649423097116122572612949996532372814788182735213438.07%35411567.51%7956179353.32%930175652.96%643119553.81%181098816877301484788
_Vs Conference41161801222118125-72089002016063-32189010215862-4420.5121181833013030971161212786129499965311494194029521696337.28%1835868.31%4956179353.32%930175652.96%643119553.81%181098816877301484788
_Vs Division2869001217691-151226001003241-91643000214450-6180.3217612119720309711612861612949996538833012696201203831.67%1274366.14%1956179353.32%930175652.96%643119553.81%181098816877301484788

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8293W125139864925722372814788182742
All Games
GPWLOTWOTL SOWSOLGFGA
8234312465251233
Home Games
GPWLOTWOTL SOWSOLGFGA
4119131224136116
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4115181241115117
Last 10 Games
WLOTWOTL SOWSOL
360001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
35213438.07%35411567.51%7
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
61294999653309711612
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
956179353.32%930175652.96%643119553.81%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
181098816877301484788


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 - 2022-10-0563L1Phantoms 3WBoxScore
2 - 2022-10-0611Phantoms 3National5LBoxScore
3 - 2022-10-0721Phantoms 4Pantheres3WXXBoxScore
5 - 2022-10-0943Rapido2Phantoms 3WBoxScore
7 - 2022-10-1159Pantheres4Phantoms 5WXXBoxScore
8 - 2022-10-1268Phantoms 3Pantheres5LBoxScore
9 - 2022-10-1375Phantoms 3Wolf Pack1WBoxScore
10 - 2022-10-1492Phantoms 3Wolf Pack4LXXBoxScore
11 - 2022-10-15100Barons3Phantoms 2LXXBoxScore
13 - 2022-10-17119Silver Knights2Phantoms 4WBoxScore
14 - 2022-10-18134Phantoms 6Monarchs4WBoxScore
16 - 2022-10-20146Wolf Pack4Phantoms 2LBoxScore
17 - 2022-10-21156Phantoms 5Pantheres2WBoxScore
19 - 2022-10-23171Phantoms 1Silver Knights4LBoxScore
20 - 2022-10-24181Comets 4Phantoms 2LBoxScore
22 - 2022-10-26199Chops2Phantoms 5WBoxScore
23 - 2022-10-27211Rocket2Phantoms 4WBoxScore
25 - 2022-10-29225Phantoms 2Wolf Pack4LBoxScore
26 - 2022-10-30238IceHogs1Phantoms 9WBoxScore
28 - 2022-11-01250Phantoms 3IceHogs1WBoxScore
29 - 2022-11-02263Mosquitos1Phantoms 4WBoxScore
31 - 2022-11-04277Phantoms 1Armada2LXBoxScore
32 - 2022-11-05289Phantoms 1Rambo3LBoxScore
33 - 2022-11-06298Phantoms 3Griffins1WBoxScore
35 - 2022-11-08309Griffins2Phantoms 4WBoxScore
36 - 2022-11-09322Phantoms 1Red Bull5LBoxScore
37 - 2022-11-10334Thunderbirds3Phantoms 4WXBoxScore
38 - 2022-11-11347Phantoms 4National2WBoxScore
40 - 2022-11-133613L5Phantoms 4LXBoxScore
41 - 2022-11-14378Phantoms 2Silver Knights3LXBoxScore
42 - 2022-11-153853L5Phantoms 0LBoxScore
44 - 2022-11-17403Phantoms 1Rocket3LBoxScore
45 - 2022-11-18413Armada0Phantoms 2WBoxScore
47 - 2022-11-20434National4Phantoms 2LBoxScore
48 - 2022-11-21446Phantoms 4Draveurs2WBoxScore
49 - 2022-11-22454Phantoms 3Barons5LBoxScore
51 - 2022-11-24466Monster7Phantoms 1LBoxScore
53 - 2022-11-26483Phantoms 5Mosquitos2WBoxScore
54 - 2022-11-27489Rapido2Phantoms 3WXXBoxScore
56 - 2022-11-29509Phantoms 2Sea Dogs1WBoxScore
57 - 2022-11-30515Comets 5Phantoms 4LBoxScore
59 - 2022-12-02536Phantoms 2Griffins1WBoxScore
60 - 2022-12-03544Trashers4Phantoms 3LXBoxScore
61 - 2022-12-04555Phantoms 03L3LBoxScore
63 - 2022-12-06570Monster4Phantoms 3LBoxScore
65 - 2022-12-08585Monarchs2Phantoms 4WBoxScore
66 - 2022-12-09599Phantoms 5Jarrets Noirs4WXBoxScore
67 - 2022-12-10611Wolf Pack2Phantoms 1LBoxScore
68 - 2022-12-11622Phantoms 2Pantheres4LBoxScore
70 - 2022-12-13636Phantoms 2Pantheres4LBoxScore
71 - 2022-12-14647Sea Dogs4Phantoms 2LBoxScore
73 - 2022-12-16661Phantoms 2Thunderbirds3LBoxScore
74 - 2022-12-17671Rambo1Phantoms 2WBoxScore
76 - 2022-12-19691Chops1Phantoms 6WBoxScore
77 - 2022-12-20703Phantoms 1Rambo4LBoxScore
78 - 2022-12-21713Phantoms 2Heat 5LBoxScore
80 - 2022-12-23724Barons1Phantoms 3WBoxScore
82 - 2022-12-25743Phantoms 2Sea Dogs1WXXBoxScore
83 - 2022-12-26752National4Phantoms 3LXXBoxScore
84 - 2022-12-27762Phantoms 2Rapido1WXXBoxScore
86 - 2022-12-29777Rapido4Phantoms 3LXXBoxScore
87 - 2022-12-30795Draveurs2Phantoms 4WBoxScore
89 - 2023-01-01809Phantoms 3Trashers2WXXBoxScore
90 - 2023-01-02820Silver Knights2Phantoms 7WBoxScore
92 - 2023-01-04837Phantoms 9Chops1WBoxScore
93 - 2023-01-05845Pantheres4Phantoms 3LBoxScore
95 - 2023-01-07862Phantoms 6Monster1WBoxScore
96 - 2023-01-08872Spartans4Phantoms 6WBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
97 - 2023-01-09888Red Bull4Phantoms 2LBoxScore
98 - 2023-01-10894Phantoms 3Rapido1WBoxScore
99 - 2023-01-11903Phantoms 3National2WBoxScore
102 - 2023-01-14925Draveurs2Phantoms 3WBoxScore
103 - 2023-01-15935Phantoms 4Comets 2WBoxScore
105 - 2023-01-17947Phantoms 1Trashers2LBoxScore
106 - 2023-01-18959Heat 3Phantoms 2LXXBoxScore
109 - 2023-01-21976Spartans3Phantoms 1LBoxScore
110 - 2023-01-22984Phantoms 33L6LBoxScore
112 - 2023-01-241003Heat 0Phantoms 1WBoxScore
113 - 2023-01-251009Phantoms 1Spartans5LBoxScore
115 - 2023-01-271030Jarrets Noirs3Phantoms 2LBoxScore
116 - 2023-01-281039Phantoms 2National3LBoxScore
120 - 2023-02-011064Jarrets Noirs3Phantoms 8WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price4825
Attendance56,56729,754
Attendance PCT68.98%72.57%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
-40 2105 - 70.18% 94,358$3,868,687$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
3,427,020$ 3,312,400$ 3,312,400$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
27,375$ 3,427,020$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
-3,774,329$ 0 27,375$ 0$




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