Login

Phantoms
GP: 56 | W: 27 | L: 23 | OTL: 6 | P: 60
GF: 240 | GA: 236 | PP%: 22.84% | PK%: 79.68%
GM : Simon DeChamplain | Morale : 36 | Team Overall : 65
Next Games #734 vs Eagles
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Phantoms
27-23-6, 60pts
5
FINAL
1 Marlies
33-20-3, 69pts
Team Stats
SOL1StreakW1
11-13-4Home Record18-9-1
16-10-2Away Record15-11-2
5-3-2Last 10 Games6-4-0
4.29Goals Per Game4.38
4.21Goals Against Per Game4.29
22.84%Power Play Percentage25.22%
79.68%Penalty Kill Percentage74.31%
Comets
33-20-2, 68pts
6
FINAL
5 Phantoms
27-23-6, 60pts
Team Stats
SOW1StreakSOL1
18-10-0Home Record11-13-4
15-10-2Away Record16-10-2
6-4-0Last 10 Games5-3-2
4.07Goals Per Game4.29
3.87Goals Against Per Game4.21
19.46%Power Play Percentage22.84%
81.94%Penalty Kill Percentage79.68%
Phantoms
27-23-6, 60pts
2023-03-15
Eagles
26-21-7, 59pts
Team Stats
SOL1StreakW1
11-13-4Home Record14-9-5
16-10-2Away Record12-12-2
5-3-2Last 10 Games7-3-0
4.29Goals Per Game4.50
4.21Goals Against Per Game4.50
22.84%Power Play Percentage23.81%
79.68%Penalty Kill Percentage78.63%
Admirals
24-27-2, 50pts
2023-03-17
Phantoms
27-23-6, 60pts
Team Stats
SOL1StreakSOL1
14-12-2Home Record11-13-4
10-15-0Away Record16-10-2
2-7-1Last 10 Games5-3-2
4.09Goals Per Game4.29
4.36Goals Against Per Game4.29
24.16%Power Play Percentage22.84%
75.13%Penalty Kill Percentage79.68%
Griffins
26-21-9, 61pts
2023-03-21
Phantoms
27-23-6, 60pts
Team Stats
W3StreakSOL1
14-10-4Home Record11-13-4
12-11-5Away Record16-10-2
6-2-2Last 10 Games5-3-2
4.09Goals Per Game4.29
4.14Goals Against Per Game4.29
17.65%Power Play Percentage22.84%
76.21%Penalty Kill Percentage79.68%
Team Leaders
Goals
Michael Bournival
35
Assists
Alex DeBrincat
45
Points
Alex DeBrincat
74
Plus/Minus
Sven Andrighetto
12
Wins
Anton Forsberg
22
Save Percentage
Zachary Fucale
0.89

Team Stats
Goals For
240
4.29 GFG
Shots For
1893
33.80 Avg
Power Play Percentage
22.8%
53 GF
Offensive Zone Start
36.3%
Goals Against
236
4.21 GAA
Shots Against
1815
32.41 Avg
Penalty Kill Percentage
79.7%%
51 GA
Defensive Zone Start
36.7%
Team Info

General ManagerSimon DeChamplain
CoachKevin Dineen
DivisionFritz-Kraatz
ConferenceRobert-Lebel
CaptainDave Bolland
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,460
Season Tickets300


Roster Info

Pro Team35
Farm Team19
Contract Limit54 / 250
Prospects0


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
1Michael BournivalX100.007939797677757475716879717674603732730251995,000$
2Alex DeBrincat (R)X100.007754867877707769747475617851447151710201500,000$
3Sven Andrighetto (R)X100.007934816980747169746679607357514453700242700,000$
4Nick ShoreX100.005827737172757075837475555958593533690251850,000$
5Joe Snively (R)X100.006333818758725775717171508343466750680212500,000$
6Cristoval Nieves (R)X100.006926777667707573767969557048504241680231600,000$
7Morgan Klimchuk (R)X100.006732727271757569667270707647444550680222650,000$
8Erik Nystrom (R)X100.007023756973706771656372677550483549670241600,000$
9David Kampf (R)X100.005943836671716972666774566644475050660224700,000$
10Brendan Leipsic (R)X100.005033706666656265747172556347494026640231500,000$
11Nick Sorensen (R)X100.005933787469666965635672527348494538640232525,000$
12Laurent Dauphin (R)X100.007340796169637070607163506744444342630222500,000$
13JC Lipon (R)X100.007156696966516867685762525749503850620241450,000$
14Anthony Angello (R)X100.004938806363746555656561575343434542600212450,000$
15A.J. Greer (R)X100.006043616769627258595962525245444442590214250,000$
16Brett Murray (R)X100.007639626776546558445563544241416449580191500,000$
17Ivan Provorov (R)X100.007447817676746872527669746061446832720204750,000$
18Reid McNeillX100.007647797378658275596857726871513653710251975,000$
19Blake Heinrich (R)X100.007034717273746258497268795454464434690222500,000$
20Brenden KichtonX100.006730787168706865565960736357583233670251750,000$
21Devon Teows (R)X100.007347747066646270526455725449504649670233700,000$
22Rinat Valiev (R)X100.007334807267686273546560696248465150670222500,000$
23Cal Foote (R)X100.008047646480845357336452695043418250660192500,000$
24Mikko Lehtonen (R)X100.006941766152667074506871586149504550650231500,000$
Scratches
1Lucas Wallmarkk (R)X96.797238736865736474727667666544445338680213700,000$
2Cooper Marody (R)X100.004335706251596160727256384745434920560214250,000$
3Fabian Zetterlund (R)X100.004535685362645654554568415840406920540182500,000$
4Matt Kiersted (R)X100.006446636165555455415543574941415922570191500,000$
5Riley Stillman (R)X100.006741625961566152355751554541416220570191500,000$
6Victor Berglund (R)X100.006126655761514743285230662840407120550182500,000$
TEAM AVERAGE99.89663874686867666660656460614947504065
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
1Anton Forsberg98.00757473777279767272767469713749740251975,000$
2Zachary Fucale100.00667759687074737578745948464650710222500,000$
Scratches
1Jason Kasdorf100.00676778656470687067696653533720670251750,000$
2Kevin Lankinen (R)100.00676564676369596963635541416815630221500,000$
3Zachary Sawchenko (R)100.00605368515062664645717344466020560202500,000$
TEAM AVERAGE99.6067676866647168666571655151503166
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can494500,000$


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
1Alex DeBrincatPhantoms (Phi)RW56294574-117569732117012313.74%29127922.851119303218500072114046.77%1866317101.16360012210
2Michael BournivalPhantoms (Phi)LW47353368-918090882186813016.06%41110423.511214263215500051633049.15%3544226041.2304000811
3Nick ShorePhantoms (Phi)C44254166763564681536311916.34%2090820.6471522161462026712455.50%13462812001.4502000252
4Joe SnivelyPhantoms (Phi)C5619315013205163160569811.88%1177313.8234712870000201347.64%552407001.2902000303
5Cristoval NievesPhantoms (Phi)C54192847-62205356129435814.73%1166912.40291111640001123252.90%5182613001.4000000311
6Morgan KlimchukPhantoms (Phi)LW5618274574007164155417911.61%1891316.32369141490001213152.63%383310000.9811000143
7Sven AndrighettoPhantoms (Phi)RW56222143121958465118318218.64%13100517.963471015201161212245.57%792514000.8614100231
8Lucas WallmarkkPhantoms (Phi)C531723407160435699317217.17%1154410.27224439000091046.95%311144001.4700000041
9Reid McNeillPhantoms (Phi)D5552227-23210761038242496.10%74144626.30358162000003221100.00%02245000.3700101011
10Erik NystromPhantoms (Phi)LW5581624-824063589936728.08%2162011.29011222000053058.62%292013000.7700000020
11Jake DotchinFlyersD21516212200264642152011.90%3956526.933471179000090010.00%0821000.7400000100
12Blake HeinrichPhantoms (Phi)D474162011681061766425256.25%64103021.9313471320002145110.00%02126000.3900101010
13Nick SorensenPhantoms (Phi)RW5061117-7100253357162810.53%1152810.5801108000000041.18%17145000.6400000002
14Brendan LeipsicPhantoms (Phi)LW468816-2160151465153012.31%53347.28000000000140060.00%594000.9600000002
15Devon TeowsPhantoms (Phi)D5521416-1332067704818174.17%51102318.6122441240112143000.00%01433000.3100000000
16David KampfPhantoms (Phi)C564812-2005103171812.90%91783.19000050001101036.23%6960001.3500000001
17Brenden KichtonPhantoms (Phi)D4745912160294329141413.79%3860212.81000036011143000.00%0220000.3000000000
18Cal FootePhantoms (Phi)D560990220293619990.00%254858.6800004000024000.00%0117000.3700000001
19Ivan ProvorovPhantoms (Phi)D71784201511106510.00%619127.29022338000020000.00%064000.8400000110
20Rinat ValievPhantoms (Phi)D56088-48040593511270.00%4488415.79011074000292000.00%01022000.1800000000
21JC LiponPhantoms (Phi)RW56257618057153616395.56%84508.0400005000000050.00%665000.3100000000
22A.J. GreerPhantoms (Phi)LW51213840151082425.00%21583.10000000000640042.86%711000.3800000010
23Mikko LehtonenPhantoms (Phi)D56123-1140192215326.67%93686.5900000000014000.00%038000.1600000000
24Brett MurrayPhantoms (Phi)LW5412321609671314.29%2921.7000004000000133.33%303000.6501000000
25Anthony AngelloPhantoms (Phi)C51011-100121110.00%0981.94000030001730043.33%3001000.2000000000
26Laurent DauphinPhantoms (Phi)C52101-1403020250.00%1390.7510116000000025.00%400000.5100000000
27Matt KierstedPhantoms (Phi)D39000-24010100210.00%41553.980000000002000.00%003000.00%00000000
28Riley StillmanPhantoms (Phi)D20000140200010.00%1452.290000200007000.00%001000.00%00000000
Team Total or Average13522384006382154135109211571893642112812.57%5681650012.2053921451751733235381609251551.21%3554414335140.77520303232629
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
1Anton ForsbergPhantoms (Phi)51221650.8694.282637601881431690300.64314506112
2Zachary FucalePhantoms (Phi)205710.8903.377480142382202120.5008650101
Team Total or Average71272360.8734.08338661230181389242225656213


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
A.J. GreerPhantoms (Phi)LW211996-01-01Yes210 Lbs6 ft3NoNoNo4Pro & Farm250,000$81,311$0$0$No300,000$350,000$400,000$Link
Alex DeBrincatPhantoms (Phi)RW201997-01-01Yes165 Lbs5 ft7NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Anthony AngelloPhantoms (Phi)C211996-01-01Yes210 Lbs6 ft5NoNoNo2Pro & Farm450,000$146,359$0$0$No450,000$Link
Anton ForsbergPhantoms (Phi)G251992-01-01No191 Lbs6 ft3NoNoNo1Pro & Farm975,000$317,112$0$0$No
Blake HeinrichPhantoms (Phi)D221995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Brendan LeipsicPhantoms (Phi)LW231994-01-01Yes165 Lbs5 ft8NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Brenden KichtonPhantoms (Phi)D251992-01-01No185 Lbs5 ft10NoNoNo1Pro & Farm750,000$243,932$0$0$No
Brett MurrayPhantoms (Phi)LW191998-01-01Yes216 Lbs6 ft4NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Cal FootePhantoms (Phi)D191998-01-01Yes227 Lbs6 ft4NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Cooper MarodyPhantoms (Phi)C211996-01-01Yes184 Lbs6 ft0NoNoNo4Pro & Farm250,000$81,311$0$0$No300,000$350,000$400,000$Link
Cristoval NievesPhantoms (Phi)C231994-01-01Yes192 Lbs6 ft2NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
David KampfPhantoms (Phi)C221995-01-01Yes188 Lbs6 ft2NoNoNo4Pro & Farm700,000$227,670$0$0$No750,000$800,000$900,000$Link
Devon TeowsPhantoms (Phi)D231994-01-01Yes191 Lbs5 ft11NoNoNo3Pro & Farm700,000$227,670$0$0$No800,000$900,000$Link
Erik NystromPhantoms (Phi)LW241993-01-01Yes176 Lbs5 ft11NoNoNo1Pro & Farm600,000$195,146$0$0$NoLink
Fabian ZetterlundPhantoms (Phi)LW181999-01-01Yes220 Lbs5 ft11NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Ivan ProvorovPhantoms (Phi)D201997-01-01Yes201 Lbs6 ft1NoNoNo4Pro & Farm750,000$243,932$0$0$No1,500,000$3,000,000$4,500,000$Link
JC LiponPhantoms (Phi)RW241993-01-01Yes185 Lbs6 ft0NoNoNo1Pro & Farm450,000$146,359$0$0$NoLink
Jason KasdorfPhantoms (Phi)G251992-01-01No172 Lbs6 ft3NoNoNo1Pro & Farm750,000$243,932$0$0$No
Joe SnivelyPhantoms (Phi)C211996-01-01Yes176 Lbs5 ft9NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Kevin LankinenPhantoms (Phi)G221995-01-01Yes185 Lbs6 ft2NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Laurent DauphinPhantoms (Phi)C221995-01-01Yes185 Lbs6 ft0NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Lucas WallmarkkPhantoms (Phi)C211996-01-01Yes178 Lbs6 ft0NoNoNo3Pro & Farm700,000$227,670$0$0$No800,000$900,000$
Matt KierstedPhantoms (Phi)D191998-01-01Yes184 Lbs5 ft11NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Michael BournivalPhantoms (Phi)LW251992-01-01No195 Lbs5 ft11NoNoNo1Pro & Farm995,000$323,617$0$0$No
Mikko LehtonenPhantoms (Phi)D231994-01-01Yes196 Lbs6 ft0NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Morgan KlimchukPhantoms (Phi)LW221995-01-01Yes185 Lbs5 ft11NoNoNo2Pro & Farm650,000$211,408$0$0$No650,000$Link
Nick ShorePhantoms (Phi)C251992-01-01No194 Lbs6 ft1NoNoNo1Pro & Farm850,000$276,456$0$0$No
Nick SorensenPhantoms (Phi)RW231994-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm525,000$170,752$0$0$No525,000$Link
Reid McNeillPhantoms (Phi)D251992-01-01No210 Lbs6 ft3NoNoNo1Pro & Farm975,000$317,112$0$0$No
Riley StillmanPhantoms (Phi)D191998-01-01Yes196 Lbs6 ft1NoNoNo1Pro & Farm500,000$162,621$0$0$NoLink
Rinat ValievPhantoms (Phi)D221995-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Sven AndrighettoPhantoms (Phi)RW241993-01-01Yes185 Lbs5 ft10NoNoNo2Pro & Farm700,000$227,670$0$0$No700,000$Link
Victor BerglundPhantoms (Phi)D181999-01-01Yes183 Lbs6 ft1NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Zachary FucalePhantoms (Phi)G221995-01-01No185 Lbs6 ft1NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Zachary SawchenkoPhantoms (Phi)G201997-01-01Yes185 Lbs6 ft1NoNoNo2Pro & Farm500,000$162,621$0$0$No500,000$Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3521.94190 Lbs6 ft01.83589,143$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael BournivalNick ShoreAlex DeBrincat40122
2Morgan KlimchukJoe SnivelySven Andrighetto30122
3Erik NystromCristoval NievesNick Sorensen20122
4Brendan LeipsicDavid KampfJC Lipon10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ivan ProvorovReid McNeill40122
2Blake HeinrichDevon Teows30122
3Rinat ValievBrenden Kichton20122
4Cal FooteMikko Lehtonen10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Michael BournivalNick ShoreAlex DeBrincat60122
2Morgan KlimchukJoe SnivelySven Andrighetto40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Ivan ProvorovReid McNeill60122
2Blake HeinrichDevon Teows40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Michael BournivalAlex DeBrincat60122
2Sven AndrighettoNick Shore40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Ivan ProvorovReid McNeill60122
2Blake HeinrichDevon Teows40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Michael Bournival60122Ivan ProvorovReid McNeill60122
2Alex DeBrincat40122Blake HeinrichDevon Teows40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Michael BournivalAlex DeBrincat60122
2Sven AndrighettoNick Shore40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ivan ProvorovReid McNeill60122
2Blake HeinrichDevon Teows40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Michael BournivalNick ShoreAlex DeBrincatIvan ProvorovReid McNeill
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Michael BournivalNick ShoreAlex DeBrincatIvan ProvorovReid McNeill
Extra Forwards
Normal PowerPlayPenalty Kill
Laurent Dauphin, Anthony Angello, A.J. GreerLaurent Dauphin, Anthony AngelloA.J. Greer
Extra Defensemen
Normal PowerPlayPenalty Kill
Rinat Valiev, Brenden Kichton, Cal FooteRinat ValievBrenden Kichton, Cal Foote
Penalty Shots
Michael Bournival, Alex DeBrincat, Sven Andrighetto, Nick Shore, Joe Snively
Goalie
#1 : Anton Forsberg, #2 : Zachary Fucale


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
1Admirals11000000752000000000001100000075221.0007121900599880642656626601302632123200.00%5260.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
2Barracuda20200000813-51010000056-11010000037-400.000815230059988067165662660130621226377457.14%13469.23%0682128952.91%637130448.85%50196152.13%11996801192532999491
3Bears1010000024-21010000024-20000000000000.00024600599880625656626601304013814000.00%4175.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
4Comets632000012226-420100001611-5431000001615170.5832236581059988062056566266013020669529719421.05%25772.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
5Condors31000101141312100000110821000010045-140.66714223600599880697656626601309525225815426.67%11281.82%0682128952.91%637130448.85%50196152.13%11996801192532999491
6Crunch211000008711010000035-21100000052320.500813210059988067765662660130582426425360.00%13284.62%0682128952.91%637130448.85%50196152.13%11996801192532999491
7Eagles1010000035-21010000035-20000000000000.000358005998806276566266013033144154125.00%2150.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
8Griffins21100000660110000004221010000024-220.500612180059988067165662660130742814548225.00%7185.71%0682128952.91%637130448.85%50196152.13%11996801192532999491
9Heat522000102325-220100010811-3321000001514160.60023335600599880614665662660130159537210527622.22%361072.22%0682128952.91%637130448.85%50196152.13%11996801192532999491
10Little Stars21000001532210000015320000000000030.7505813005998806686566266013068251836600.00%90100.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
11Marlies62200101282623110000115141311001001312160.50028447200599880620365662660130174648511131825.81%30583.33%1682128952.91%637130448.85%50196152.13%11996801192532999491
12Monsters3300000014682200000010461100000042261.000142640005998806107656626601308232336211436.36%13192.31%1682128952.91%637130448.85%50196152.13%11996801192532999491
13Moose20200000811-31010000046-21010000045-100.000813210059988067065662660130662512329333.33%6183.33%0682128952.91%637130448.85%50196152.13%11996801192532999491
14Penguins20200000511-61010000048-41010000013-200.0005813005998806616566266013080201631400.00%8275.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
15Punishers11000000633000000000001100000063321.000691500599880633656626601304288242150.00%4175.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
16Rampage20200000510-51010000036-31010000024-200.000591400599880666656626601306016184410220.00%9188.89%0682128952.91%637130448.85%50196152.13%11996801192532999491
17Reign541000002618821100000109133000000169780.80026457111599880616665662660130152454611427622.22%23482.61%0682128952.91%637130448.85%50196152.13%11996801192532999491
18Rocket211000001183110000006151010000057-220.50011172800599880673656626601307210837900.00%4175.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
19Senators21100000910-11010000024-21100000076120.500917260059988067565662660130671622481119.09%11281.82%0682128952.91%637130448.85%50196152.13%11996801192532999491
20Sound Tigers210010001073100010004311100000064241.0001017270059988066465662660130681716409222.22%8187.50%0682128952.91%637130448.85%50196152.13%11996801192532999491
21Thunderbirds20200000611-51010000045-11010000026-400.0006111700599880672656626601306424829700.00%4175.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
22Wolfpack10000010651100000106510000000000021.000610160059988063365662660130341510193266.67%5180.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
23Wolves11000000835000000000001100000083521.0008142200599880641656626601303310220600.00%10100.00%0682128952.91%637130448.85%50196152.13%11996801192532999491
Total5624230122424023642881301024114120-62816100020012611610600.536240400640215998806189365662660130181556854710922325322.84%2515179.68%2682128952.91%637130448.85%50196152.13%11996801192532999491
_Since Last GM Reset5624230122424023642881301024114120-62816100020012611610600.536240400640215998806189365662660130181556854710922325322.84%2515179.68%2682128952.91%637130448.85%50196152.13%11996801192532999491
_Vs Conference33161200212154141131676000127465917960020080764380.57615425641011599880611216566266013010293133616811573824.20%1593379.25%2682128952.91%637130448.85%50196152.13%11996801192532999491
_Vs Division16850011177698723000113334-19620010044359200.6257712219911599880651565662660130485162203330852023.53%891978.65%1682128952.91%637130448.85%50196152.13%11996801192532999491

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
5660SOL124040064018931815568547109221
All Games
GPWLOTWOTL SOWSOLGFGA
5624231224240236
Home Games
GPWLOTWOTL SOWSOLGFGA
288131024114120
Visitor Games
GPWLOTWOTL SOWSOLGFGA
2816100200126116
Last 10 Games
WLOTWOTL SOWSOL
431101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2325322.84%2515179.68%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
656626601305998806
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
682128952.91%637130448.85%50196152.13%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
11996801192532999491


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 - 2022-10-271Marlies6Phantoms5BLXXBoxScore
3 - 2022-10-2914Phantoms3Comets2AWBoxScore
4 - 2022-10-3016Phantoms4Marlies6ALBoxScore
9 - 2022-11-0448Heat4Phantoms5BWXXR1BoxScore
11 - 2022-11-0653Phantoms4Marlies5ALXBoxScore
13 - 2022-11-0868Phantoms5Heat4AWR1BoxScore
15 - 2022-11-1076Comets5Phantoms1BLBoxScore
17 - 2022-11-1287Phantoms3Comets5ALBoxScore
19 - 2022-11-14101Reign7Phantoms6BLR1BoxScore
21 - 2022-11-16113Phantoms4Comets3AWBoxScore
22 - 2022-11-17117Phantoms7Reign6AWR1BoxScore
23 - 2022-11-18129Little Stars1Phantoms4BWBoxScore
29 - 2022-11-24153Griffins2Phantoms4BWBoxScore
32 - 2022-11-27170Phantoms4Reign0AWR1BoxScore
34 - 2022-11-29178Marlies2Phantoms5BWBoxScore
37 - 2022-12-02198Condors5Phantoms4BLXXBoxScore
40 - 2022-12-05212Phantoms4Monsters2AWBoxScore
43 - 2022-12-08225Wolfpack5Phantoms6BWXXBoxScore
46 - 2022-12-11239Phantoms5Reign3AWR1BoxScore
48 - 2022-12-13250Moose6Phantoms4BLBoxScore
52 - 2022-12-17266Phantoms6Comets5AWBoxScore
54 - 2022-12-19275Bears4Phantoms2BLBoxScore
58 - 2022-12-23295Heat7Phantoms3BLR1BoxScore
60 - 2022-12-25308Phantoms5Crunch2AWBoxScore
63 - 2022-12-28320Phantoms8Wolves3AWBoxScore
64 - 2022-12-29329Monsters1Phantoms3BWBoxScore
67 - 2023-01-01347Eagles5Phantoms3BLBoxScore
69 - 2023-01-03357Phantoms4Heat9ALR1BoxScore
71 - 2023-01-05365Phantoms2Thunderbirds6ALBoxScore
73 - 2023-01-07379Monsters3Phantoms7BWBoxScore
77 - 2023-01-11400Phantoms7Admirals5AWBoxScore
79 - 2023-01-13406Thunderbirds5Phantoms4BLBoxScore
81 - 2023-01-15415Phantoms6Heat1AWR1BoxScore
84 - 2023-01-18430Barracuda6Phantoms5BLBoxScore
86 - 2023-01-20440Phantoms2Griffins4ALBoxScore
89 - 2023-01-23457Crunch5Phantoms3BLBoxScore
92 - 2023-01-26476Phantoms6Sound Tigers4AWBoxScore
93 - 2023-01-27485Rampage6Phantoms3BLBoxScore
96 - 2023-01-30500Phantoms2Rampage4ALBoxScore
97 - 2023-01-31509Reign2Phantoms4BWR1BoxScore
101 - 2023-02-04526Phantoms1Penguins3ALBoxScore
103 - 2023-02-06535Penguins8Phantoms4BLBoxScore
106 - 2023-02-09551Phantoms4Moose5ALBoxScore
108 - 2023-02-11560Little Stars2Phantoms1BLXXBoxScore
111 - 2023-02-14580Phantoms6Punishers3AWBoxScore
112 - 2023-02-15587Senators4Phantoms2BLBoxScore
117 - 2023-02-20611Condors3Phantoms6BWBoxScore
119 - 2023-02-22619Phantoms4Condors5ALXBoxScore
123 - 2023-02-26637Marlies6Phantoms5BLBoxScore
125 - 2023-02-28648Phantoms5Rocket7ALBoxScore
127 - 2023-03-02661Sound Tigers3Phantoms4BWXBoxScore
129 - 2023-03-04671Phantoms3Barracuda7ALBoxScore
132 - 2023-03-07688Rocket1Phantoms6BWBoxScore
134 - 2023-03-09698Phantoms7Senators6AWBoxScore
137 - 2023-03-12714Phantoms5Marlies1AWBoxScore
138 - 2023-03-13720Comets6Phantoms5BLXXBoxScore
140 - 2023-03-15734Phantoms-Eagles-
142 - 2023-03-17743Admirals-Phantoms-
146 - 2023-03-21763Griffins-Phantoms-
148 - 2023-03-23775Phantoms-Wolfpack-
150 - 2023-03-25780Phantoms-Senators-
152 - 2023-03-27794Phantoms-Marlies-
153 - 2023-03-28800Eagles-Phantoms-
157 - 2023-04-01819Devils-Phantoms-
Trade Deadline --- Trades can’t be done after this day is simulated!
160 - 2023-04-04830Phantoms-Devils-
163 - 2023-04-07846Barracuda-Phantoms-
166 - 2023-04-10857Phantoms-Little Stars-
168 - 2023-04-12872Reign-Phantoms-
170 - 2023-04-14883Phantoms-Bears-
173 - 2023-04-17897Phantoms-Rocket-
174 - 2023-04-18903Icehogs-Phantoms-
179 - 2023-04-23923Comets-Phantoms-
181 - 2023-04-25936Phantoms-Moose-
183 - 2023-04-27944Phantoms-Icehogs-
184 - 2023-04-28952Phantoms-Wolfpack-
186 - 2023-04-30960Wolves-Phantoms-
188 - 2023-05-02970Phantoms-Icehogs-
192 - 2023-05-06988Punishers-Phantoms-
197 - 2023-05-111008Admirals-Phantoms-
203 - 2023-05-171030Heat-Phantoms-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3520
Attendance52,21316,655
Attendance PCT93.24%59.48%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
12 2460 - 81.99% 81,021$2,268,583$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
1,709,930$ 2,737,000$ 2,519,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
13,286$ 1,369,256$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
972,250$ 67 15,714$ 1,052,838$




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