Login

Phantoms
GP: 29 | W: 15 | L: 12 | OTL: 2 | P: 32
GF: 78 | GA: 82 | PP%: 22.77% | PK%: 81.60%
GM : Jean-Phillipe Dame | Morale : 50 | Team Overall : 61
Next Games #446 vs Wolfpack
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Crunch
16-9-4, 36pts
2
FINAL
4 Phantoms
15-12-2, 32pts
Team Stats
W1StreakL1
10-3-2Home Record9-5-1
6-6-2Away Record6-7-1
5-3-2Last 10 Games4-5-1
4.03Goals Per Game2.69
3.38Goals Against Per Game2.83
25.00%Power Play Percentage22.77%
78.89%Penalty Kill Percentage81.60%
Rampage
19-8-2, 40pts
4
FINAL
2 Phantoms
15-12-2, 32pts
Team Stats
W1StreakL1
8-4-2Home Record9-5-1
11-4-0Away Record6-7-1
5-4-1Last 10 Games4-5-1
4.00Goals Per Game2.69
2.83Goals Against Per Game2.83
20.17%Power Play Percentage22.77%
75.31%Penalty Kill Percentage81.60%
Phantoms
15-12-2, 32pts
2022-12-09
Wolfpack
17-12-1, 35pts
Team Stats
L1StreakW1
9-5-1Home Record7-6-1
6-7-1Away Record10-6-0
4-5-1Last 10 Games6-4-0
2.69Goals Per Game3.37
2.83Goals Against Per Game3.00
22.77%Power Play Percentage24.77%
81.60%Penalty Kill Percentage80.00%
Phantoms
15-12-2, 32pts
2022-12-11
Bruins
10-17-2, 22pts
Team Stats
L1StreakOTW1
9-5-1Home Record3-9-2
6-7-1Away Record7-8-0
4-5-1Last 10 Games3-6-1
2.69Goals Per Game2.79
2.83Goals Against Per Game3.41
22.77%Power Play Percentage18.48%
81.60%Penalty Kill Percentage82.80%
Bruins
10-17-2, 22pts
2022-12-13
Phantoms
15-12-2, 32pts
Team Stats
OTW1StreakL1
3-9-2Home Record9-5-1
7-8-0Away Record6-7-1
3-6-1Last 10 Games4-5-1
2.79Goals Per Game2.69
3.41Goals Against Per Game2.83
18.48%Power Play Percentage22.77%
82.80%Penalty Kill Percentage81.60%
Team Leaders
Fredrik KarlstromGoals
Fredrik Karlstrom
13
Frederik GauthierAssists
Frederik Gauthier
16
Frederik GauthierPoints
Frederik Gauthier
27
Scott WilsonPlus/Minus
Scott Wilson
10
Erik KallgrenWins
Erik Kallgren
15
Antoine BibeauSave Percentage
Antoine Bibeau
1

Team Stats
Goals For
78
2.69 GFG
Shots For
904
31.17 Avg
Power Play Percentage
22.8%
23 GF
Offensive Zone Start
40.9%
Goals Against
82
2.83 GAA
Shots Against
913
31.48 Avg
Penalty Kill Percentage
81.6%
23 GA
Defensive Zone Start
41.5%
Team Info

General ManagerJean-Phillipe Dame
CoachMike Vellucci
DivisionAtlantic
ConferenceCanadian
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,016
Season Tickets0


Roster Info

Pro Team23
Farm Team19
Contract Limit42 / 250
Prospects19


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
1Frederik GauthierX100.00837884639776786085646171586769044660272900,000$
2Fredrik Karlstrom (R)X100.00683892638276886672655861596466050640241800,000$
3Brandon BaddockX100.00858076558772815654575859566769050620291750,000$
4Stefan MatteauX100.00784479598278665771605864566870050620281750,000$
5Connor BunnamanX100.00723893567976875778585963566466050620241750,000$
6Maxim LetunovX100.00733990588278925761546062596668050620261750,000$
7Scott WilsonX100.00593789586987855761565958567072050610301750,000$
8Sven BaertschiXX100.00603683587086725963585956607172050610301750,000$
9Donald Busdeker (R)X100.00573878586681865762605657616365050600231800,000$
10James Hamblin (R)X100.00563679576580825855596156576365050600231800,000$
11Vincent ArseneauX100.00717561568075695554535859567072050600301750,000$
12Jeremy Mckenna (R)X100.00563789546572665354555253576365050570231800,000$
13Radim Simek (R)X100.00863891607583856230615768527072044640301800,000$
14Simon BenoitX100.00864289608480796130625867456466050640242850,000$
15Brinson Pasichnuk (R)X100.00534382617577766230605764516764050610251800,000$
16Trevor CarrickX100.00664173587572905730605659466870050610282750,000$
17Tobie Paquette-Bisson (R)X100.00733984568267825430585357456567050600251800,000$
18Jeremy Groleau (R)X100.00733975538264725130535256456365050580231800,000$
Scratches
1Evan Weinger (R)X100.00613886567377865253565754566567050590251750,000$
2Tyrell GoulbourneX100.00643871547366635257535156526870050570281825,000$
3Jonathan Aspirot (R)X100.00654267587469765730585756456668050600232750,000$
TEAM AVERAGE100.0069458158777679575258576054666804961
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
1Erik Kallgren (R)100.0074858382737274737274736675050650262750,000$
2Antoine Bibeau100.0070676884696870696870696981050630281750,000$
Scratches
TEAM AVERAGE100.007276768371707271707271687805064
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Mike Vellucci68747572837765USA552250,000$


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
1Frederik GauthierPhantoms (Phi)C251116277255527598246211.22%1153921.5836920720116990254.76%77800101.0001100512
2Fredrik KarlstromPhantoms (Phi)C29131023-6180217795346713.68%1159820.6345922820001724150.42%72200000.7701000230
3Radim SimekPhantoms (Phi)D25911205120575255193516.36%3161924.7755103675000091220.00%000000.6511000023
4Simon BenoitPhantoms (Phi)D2931518224065395813335.17%4872124.883692883000097100.00%000000.5001000001
5Brandon BaddockPhantoms (Phi)LW2941317937580285119427.84%959920.6613497900041060038.89%5400000.5701010220
6Scott WilsonPhantoms (Phi)RW2910717104032978224512.82%458120.042131681000003142.86%4900000.5911000113
7Stefan MatteauPhantoms (Phi)LW2941014-1133581378216604.88%1255819.2526818830000472056.52%2300000.5001100011
8Connor BunnamanPhantoms (Phi)C297714060256269195110.14%539413.601126120000462055.11%42100100.7101000101
9Brinson PasichnukPhantoms (Phi)D2921113-1310016474618394.35%4662521.560771779101190100.00%000000.4211000000
10Sven BaertschiPhantoms (Phi)LW/RW293811310019365217555.77%639713.700001120000150043.48%2300000.5501000000
11Tobie Paquette-BissonPhantoms (Phi)D29191091605126189105.56%3246816.17000311000045000.00%000000.4300000200
12Donald BusdekerPhantoms (Phi)RW29358-118012245113495.88%148816.85123772000000044.44%3600000.3301000000
13Trevor CarrickPhantoms (Phi)D29178-1234082253116213.23%3262221.471121978000084000.00%000000.2601000003
14Jeremy GroleauPhantoms (Phi)D2214553753411951011.11%1329513.450001100007000.00%000000.3400000000
15Maxim LetunovPhantoms (Phi)C291452602429448252.27%12508.64000140001190049.18%24400000.4011000000
16Jeremy MckennaPhantoms (Phi)RW22224-44014152612197.69%125611.6600000000000040.00%1000000.3111000010
17Evan WeingerPhantoms (Phi)RW1121320084124916.67%2898.1100000000000085.71%700000.6700000010
18Vincent ArseneauPhantoms (Phi)LW29022-41002722279150.00%32147.3900000000090050.00%2600000.1911000000
19James HamblinPhantoms (Phi)C8000-400371130.00%0415.2100000000040041.67%4800000.0000000000
20Jonathan AspirotPhantoms (Phi)D4000-200850100.00%05814.570000000000000.00%000000.0000000000
Team Total or Average49477142219-13294206826509032796508.53%268842017.052343662048331121383815651.86%244100200.52615210131214
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
1Erik KallgrenPhantoms (Phi)29151220.9112.78172703808970110.53315290420
2Antoine BibeauPhantoms (Phi)10001.0000.0017000150000.0000029000
Team Total or Average30151220.9122.75174503809120110.533152929420


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 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
Antoine BibeauPhantoms (Phi)G281994-05-01No213 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Brandon BaddockPhantoms (Phi)LW291993-03-29No218 Lbs6 ft3NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Brinson PasichnukPhantoms (Phi)D251997-11-24Yes205 Lbs6 ft0NoNoNo1Pro & Farm800,000$0$0$No
Connor BunnamanPhantoms (Phi)C241998-04-16No207 Lbs6 ft1NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Donald BusdekerPhantoms (Phi)RW231999-09-25Yes178 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Erik KallgrenPhantoms (Phi)G261996-10-14Yes198 Lbs6 ft3NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Evan WeingerPhantoms (Phi)RW251997-04-18Yes185 Lbs5 ft10NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Frederik GauthierPhantoms (Phi)C271995-04-26No232 Lbs6 ft5NoNoNo2Pro & Farm900,000$0$0$No900,000$NHL Link
Fredrik KarlstromPhantoms (Phi)C241998-01-12Yes195 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
James HamblinPhantoms (Phi)C231999-04-27Yes181 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Jeremy GroleauPhantoms (Phi)D231999-10-25Yes193 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Jeremy MckennaPhantoms (Phi)RW231999-04-20Yes180 Lbs5 ft10NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Jonathan AspirotPhantoms (Phi)D231999-05-16Yes190 Lbs6 ft0NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Maxim LetunovPhantoms (Phi)C261996-02-20No175 Lbs6 ft4NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Radim SimekPhantoms (Phi)D301992-09-20Yes200 Lbs5 ft11NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Scott WilsonPhantoms (Phi)RW301992-04-24No183 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Simon BenoitPhantoms (Phi)D241998-09-19No189 Lbs6 ft3NoNoNo2Pro & Farm850,000$0$0$No850,000$NHL Link
Stefan MatteauPhantoms (Phi)LW281994-02-23No220 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Sven BaertschiPhantoms (Phi)LW/RW301992-10-05No192 Lbs5 ft11NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Tobie Paquette-BissonPhantoms (Phi)D251997-02-01Yes194 Lbs6 ft3NoNoNo1Pro & Farm800,000$0$0$NoNHL Link
Trevor CarrickPhantoms (Phi)D281994-07-04No186 Lbs6 ft2NoNoNo2Pro & Farm750,000$0$0$No750,000$NHL Link
Tyrell GoulbournePhantoms (Phi)LW281994-01-26No195 Lbs5 ft11NoNoNo1Pro & Farm825,000$0$0$NoNHL Link
Vincent ArseneauPhantoms (Phi)LW301992-03-26No200 Lbs6 ft2NoNoNo1Pro & Farm750,000$0$0$NoNHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2326.17196 Lbs6 ft11.22781,522$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon BaddockFrederik GauthierScott Wilson40122
2Stefan MatteauFredrik KarlstromDonald Busdeker30122
3Sven BaertschiConnor BunnamanJeremy Mckenna20122
4Vincent ArseneauMaxim LetunovScott Wilson10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Radim SimekSimon Benoit40122
2Brinson PasichnukTrevor Carrick30122
3Tobie Paquette-BissonJeremy Groleau20122
4Radim SimekSimon Benoit10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Brandon BaddockFrederik GauthierScott Wilson60122
2Stefan MatteauFredrik KarlstromDonald Busdeker40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Radim SimekSimon Benoit60122
2Brinson PasichnukTrevor Carrick40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Frederik GauthierBrandon Baddock60122
2Fredrik KarlstromStefan Matteau40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Radim SimekSimon Benoit60122
2Brinson PasichnukTrevor Carrick40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Frederik Gauthier60122Radim SimekSimon Benoit60122
2Fredrik Karlstrom40122Brinson PasichnukTrevor Carrick40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Frederik GauthierBrandon Baddock60122
2Fredrik KarlstromStefan Matteau40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Radim SimekSimon Benoit60122
2Brinson PasichnukTrevor Carrick40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Brandon BaddockFrederik GauthierScott WilsonRadim SimekSimon Benoit
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Brandon BaddockFrederik GauthierScott WilsonRadim SimekSimon Benoit
Extra Forwards
Normal PowerPlayPenalty Kill
Connor Bunnaman, Maxim Letunov, Sven BaertschiConnor Bunnaman, Maxim LetunovConnor Bunnaman
Extra Defensemen
Normal PowerPlayPenalty Kill
Trevor Carrick, Tobie Paquette-Bisson, Jeremy GroleauTrevor CarrickTrevor Carrick, Tobie Paquette-Bisson
Penalty Shots
Frederik Gauthier, Fredrik Karlstrom, Brandon Baddock, Stefan Matteau, Connor Bunnaman
Goalie
#1 : Erik Kallgren, #2 : Antoine Bibeau
Custom OT Lines Forwards
Frederik Gauthier, Fredrik Karlstrom, Brandon Baddock, Stefan Matteau, Connor Bunnaman, Maxim Letunov, Maxim Letunov, Sven Baertschi, Scott Wilson, Donald Busdeker, Vincent Arseneau
Custom OT Lines Defensemen
Radim Simek, Simon Benoit, Brinson Pasichnuk, Trevor Carrick, Tobie Paquette-Bisson


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
1Aces1000000134-11000000134-10000000000010.5003690032212473331329828622371110185120.00%4175.00%053099453.32%517100951.24%21943050.93%672456698218376183
2Americans1010000026-41010000026-40000000000000.000235003221247303132982862242917284125.00%5260.00%053099453.32%517100951.24%21943050.93%672456698218376183
3Bears30300000312-91010000015-42020000027-500.0003471032212478631329828622962936699111.11%17476.47%053099453.32%517100951.24%21943050.93%672456698218376183
4Bruins2110000056-1110000003121010000025-320.500510150032212477231329828622581384811218.18%3166.67%053099453.32%517100951.24%21943050.93%672456698218376183
5Crunch11000000422110000004220000000000021.0004610003221247313132982862233762611100.00%3166.67%153099453.32%517100951.24%21943050.93%672456698218376183
6Devils1010000014-3000000000001010000014-300.00012300322124730313298286223798223133.33%4175.00%053099453.32%517100951.24%21943050.93%672456698218376183
7Falcons43100000171341010000034-133000000149560.7501730470132212471333132982862214950538611436.36%20385.00%053099453.32%517100951.24%21943050.93%672456698218376183
8Marlies11000000312110000003120000000000021.0003690032212472231329828622451012254250.00%6183.33%053099453.32%517100951.24%21943050.93%672456698218376183
9Moose11000000312110000003120000000000021.00035800322124729313298286222798292150.00%30100.00%053099453.32%517100951.24%21943050.93%672456698218376183
10Oil Kings1010000003-3000000000001010000003-300.000000003221247343132982862240121021400.00%50100.00%053099453.32%517100951.24%21943050.93%672456698218376183
11Penguins21100000633110000004041010000023-120.50061117013221247823132982862251148496233.33%40100.00%053099453.32%517100951.24%21943050.93%672456698218376183
12Rampage1010000024-21010000024-20000000000000.00023500322124719313298286223981631200.00%8450.00%053099453.32%517100951.24%21943050.93%672456698218376183
13Reign11000000321000000000001100000032121.00036900322124733313298286222511623200.00%30100.00%053099453.32%517100951.24%21943050.93%672456698218376183
14Senators22000000945110000004131100000053241.000917260032212477531329828622411612349333.33%60100.00%053099453.32%517100951.24%21943050.93%672456698218376183
15Sound Tigers22000000642110000004311100000021141.0006121800322124767313298286225012105212325.00%5180.00%053099453.32%517100951.24%21943050.93%672456698218376183
16Thunderbirds1010000035-21010000035-20000000000000.000369003221247273132982862235142027100.00%9277.78%053099453.32%517100951.24%21943050.93%672456698218376183
17Wheat Kings10001000321100010003210000000000021.00035800322124711313298286222592819200.00%7185.71%053099453.32%517100951.24%21943050.93%672456698218376183
18Wolfpack21100000330110000001011010000023-120.500369013221247553132982862251151854800.00%9188.89%053099453.32%517100951.24%21943050.93%672456698218376183
19Wolves1000010023-1000000000001000010023-110.500246003221247353132982862232118215120.00%40100.00%053099453.32%517100951.24%21943050.93%672456698218376183
Total291412011017882-4158501001433941467001003543-8320.55278142220133221247904313298286229132692946821012322.77%1252381.60%153099453.32%517100951.24%21943050.93%672456698218376183
_Since Last GM Reset291412011017882-4158501001433941467001003543-8320.55278142220133221247904313298286229132692946821012322.77%1252381.60%153099453.32%517100951.24%21943050.93%672456698218376183
_Vs Conference221111000005965-6106400000292721257000003038-8220.5005910716613322124772231329828622683200206516791822.78%901682.22%153099453.32%517100951.24%21943050.93%672456698218376183
_Vs Division68700000191724420000012932450000078-1161.33319365500322124719931329828622186484913528828.57%20480.00%053099453.32%517100951.24%21943050.93%672456698218376183

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
2932L17814222090491326929468213
All Games
GPWLOTWOTL SOWSOLGFGA
29141211017882
Home Games
GPWLOTWOTL SOWSOLGFGA
158510014339
Visitor Games
GPWLOTWOTL SOWSOLGFGA
146701003543
Last 10 Games
WLOTWOTL SOWSOL
351100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1012322.77%1252381.60%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
313298286223221247
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
53099453.32%517100951.24%21943050.93%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
672456698218376183


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
2 - 2022-10-1113Phantoms6Falcons5AWBoxScore
4 - 2022-10-1326Falcons4Phantoms3BLBoxScore
6 - 2022-10-1538Bruins1Phantoms3BWBoxScore
8 - 2022-10-1756Phantoms1Bears3ALBoxScore
10 - 2022-10-1969Penguins0Phantoms4BWBoxScore
13 - 2022-10-2291Sound Tigers3Phantoms4BWBoxScore
15 - 2022-10-24105Phantoms2Sound Tigers1AWBoxScore
17 - 2022-10-26123Wolfpack0Phantoms1BWBoxScore
18 - 2022-10-27137Phantoms2Wolfpack3ALBoxScore
20 - 2022-10-29151Phantoms2Bruins5ALBoxScore
21 - 2022-10-30156Phantoms1Bears4ALBoxScore
24 - 2022-11-02175Bears5Phantoms1BLBoxScore
27 - 2022-11-05197Senators1Phantoms4BWBoxScore
29 - 2022-11-07215Americans6Phantoms2BLBoxScore
30 - 2022-11-08223Phantoms3Reign2AWBoxScore
32 - 2022-11-10241Phantoms2Falcons0AWBoxScore
34 - 2022-11-12254Aces4Phantoms3BLXXBoxScore
36 - 2022-11-14271Moose1Phantoms3BWBoxScore
38 - 2022-11-16281Phantoms5Senators3AWBoxScore
40 - 2022-11-18299Phantoms6Falcons4AWBoxScore
42 - 2022-11-20312Marlies1Phantoms3BWBoxScore
45 - 2022-11-23330Phantoms0Oil Kings3ALBoxScore
46 - 2022-11-24341Phantoms2Wolves3ALXBoxScore
48 - 2022-11-26354Wheat Kings2Phantoms3BWXBoxScore
50 - 2022-11-28370Phantoms1Devils4ALBoxScore
52 - 2022-11-30386Thunderbirds5Phantoms3BLBoxScore
53 - 2022-12-01394Phantoms2Penguins3ALBoxScore
56 - 2022-12-04415Crunch2Phantoms4BWBoxScore
59 - 2022-12-07435Rampage4Phantoms2BLBoxScore
61 - 2022-12-09446Phantoms-Wolfpack-
63 - 2022-12-11462Phantoms-Bruins-
65 - 2022-12-13473Bruins-Phantoms-
67 - 2022-12-15486Phantoms-Thunderbirds-
69 - 2022-12-17499Phantoms-Rampage-
70 - 2022-12-18508Sound Tigers-Phantoms-
72 - 2022-12-20522Phantoms-Gulls-
74 - 2022-12-22532Rocket-Phantoms-
76 - 2022-12-24547Phantoms-Thunderbirds-
77 - 2022-12-25558Phantoms-Rocket-
79 - 2022-12-27567Wolves-Phantoms-
82 - 2022-12-30591Phantoms-Americans-
83 - 2022-12-31599Sound Tigers-Phantoms-
86 - 2023-01-03619Phantoms-Reign-
88 - 2023-01-05629Thunderbirds-Phantoms-
91 - 2023-01-08654Ice Hogs-Phantoms-
93 - 2023-01-10667Phantoms-Swamp Rabbits-
95 - 2023-01-12681Heat-Phantoms-
97 - 2023-01-14698Phantoms-Sound Tigers-
98 - 2023-01-15703Phantoms-Monsters-
100 - 2023-01-17718Bruins-Phantoms-
104 - 2023-01-21742Bears-Phantoms-
107 - 2023-01-24766Phantoms-Wolfpack-
108 - 2023-01-25774Griffins-Phantoms-
111 - 2023-01-28796Rocket-Phantoms-
113 - 2023-01-30809Phantoms-Oil Kings-
115 - 2023-02-01827Bears-Phantoms-
119 - 2023-02-05850Americans-Phantoms-
123 - 2023-02-09878Senators-Phantoms-
125 - 2023-02-11894Phantoms-Penguins-
126 - 2023-02-12903Phantoms-Sound Tigers-
128 - 2023-02-14913Swamp Rabbits-Phantoms-
131 - 2023-02-17936Falcons-Phantoms-
133 - 2023-02-19951Phantoms-Bears-
135 - 2023-02-21965Oil Kings-Phantoms-
138 - 2023-02-24981Phantoms-Swamp Rabbits-
140 - 2023-02-26997Swamp Rabbits-Phantoms-
142 - 2023-02-281011Phantoms-Wild-
143 - 2023-03-011025Penguins-Phantoms-
145 - 2023-03-031038Phantoms-Admirals-
147 - 2023-03-051050Phantoms-Heat-
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2023-03-071064Falcons-Phantoms-
151 - 2023-03-091082Phantoms-Crunch-
152 - 2023-03-101091Phantoms-Bruins-
154 - 2023-03-121099Wolfpack-Phantoms-
157 - 2023-03-151123Gulls-Phantoms-
159 - 2023-03-171135Phantoms-Penguins-
162 - 2023-03-201153Penguins-Phantoms-
165 - 2023-03-231172Phantoms-Crunch-
166 - 2023-03-241181Devils-Phantoms-
167 - 2023-03-251188Phantoms-Bears-
168 - 2023-03-261195Phantoms-Devils-
171 - 2023-03-291214Phantoms-Admirals-
173 - 2023-03-311228Wolfpack-Phantoms-
178 - 2023-04-051250Barracuda-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price200100
Attendance20,05810,176
Attendance PCT66.86%67.84%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
27 2016 - 67.19% 419,100$6,286,500$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
661,795$ 1,797,500$ 1,797,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
9,986$ 579,844$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
11,315,700$ 121 11,375$ 1,376,375$




Phantoms 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 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