Your STHS is out of Date! Please update your STHS version!
Please rotate your device to landscape mode for a better experience.
Login

Phantoms
GP: 80 | W: 40 | L: 31 | OTL: 9 | P: 89
GF: 333 | GA: 314 | PP%: 24.62% | PK%: 77.88%
GM : Kym Fortin | Morale : 37 | Team Overall : 65

Game Center
Phantoms
40-31-9, 89pts
2
FINAL
3 Marlies
36-36-8, 80pts
Team Stats
W1StreakL1
21-15-4Home Record21-13-6
19-16-5Home Record15-23-2
5-4-1Last 10 Games5-4-1
4.16Goals Per Game3.81
3.93Goals Against Per Game4.10
24.62%Power Play Percentage19.94%
77.88%Penalty Kill Percentage78.33%
Canucks
44-29-7, 95pts
1
FINAL
3 Phantoms
40-31-9, 89pts
Team Stats
L2StreakW1
23-14-3Home Record21-15-4
21-15-4Home Record19-16-5
4-6-0Last 10 Games5-4-1
4.45Goals Per Game4.16
3.91Goals Against Per Game3.93
24.83%Power Play Percentage24.62%
79.88%Penalty Kill Percentage77.88%
Team Leaders
Goals
Joe Snively
55
Assists
Joe Snively
93
Points
Joe Snively
148
Plus/Minus
Rinat Valiev
10
Wins
Zachary Fucale
29
Save Percentage
Kevin Lankinen
0.885

Team Stats
Goals For
333
4.16 GFG
Shots For
2661
33.26 Avg
Power Play Percentage
24.6%
80 GF
Offensive Zone Start
37.4%
Goals Against
314
3.93 GAA
Shots Against
2604
32.55 Avg
Penalty Kill Percentage
77.9%%
50 GA
Defensive Zone Start
35.1%
Team Info

General ManagerKym Fortin
CoachKevin Dineen
DivisionFritz-Kraatz
ConferenceRobert-Lebel
CaptainSven Andrighetto
Assistant #1Blake Heinrich
Assistant #2Cristoval Nieves


Arena Info

Capacity3,000
Attendance2,826
Season Tickets300


Roster Info

Pro Team35
Farm Team18
Contract Limit53 / 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
1Joe Snively (R)X100.007234838773817177757674558454525438720231900,000$
2Morgan KlimchukX100.007332767671767474687673757761503736720241900,000$
3Sven Andrighetto (C)X100.008135837380777471776879647566553630720261950,000$
4Cristoval Nieves (A)X100.007526777669737976768172617455533632710251900,000$
5J.T. BrownX100.007139766869688176697376736670642460710291900,000$
6Rem Pitlick (R)X100.006929748472766985747170657950505447710221900,000$
7David KampfX100.006343866970737175717175636947504257690242800,000$
8Nick SorensenX100.006533817675697070686276587752523757680251800,000$
9Laurent DauphinX100.007142786771667272657367546948483554660242750,000$
10A.J. Greer (R)X100.006443697570647567676667616050473757650232350,000$
11Brett Murray (R)X100.007941707480576766516068595043445254640213500,000$
12Oliver Wahlstrom (R)X100.006337805575726868716675486941427557640191500,000$
13Blake Heinrich (A)X100.007335777876796666577874835863503657740241950,000$
14Andrey PedanX100.008159777676627962577162756071563462720261900,000$
15Rinat ValievX100.007634837472726977566964736662514357710241850,000$
16Mikko LehtonenX100.007341766557717475577173636258533757680251750,000$
17Matt Kiersted (R)X100.006946717370626162536151665850454957640213500,000$
18Riley Stillman (R)X100.007142707066606759466459665247445057640213500,000$
Scratches
1Anthony Angello (R)X100.004939826868766856686666615947473720630233500,000$
2Josiah Slavin (R)X100.006137755765736265706471425447475219610211500,000$
3Cooper Marody (R)X100.004638736854626364757860425147453820600232350,000$
4Benoit-Olivier Groulx (R)X100.006243755966576362636062535841415820590191500,000$
5Fabian Zetterlund (R)X100.004938745967676057585171466242425420580201250,000$
6Alex Beaucage (R)X100.007642555874506856516661474840407520570182500,000$
7Arsen Khisamutdinov (R)X100.005728666354636063555757517148484320570212500,000$
8David Gustafsson (R)X100.005435716248565757736756435241416320560191500,000$
9Ty Smith (R)X100.005526737359566676417453634943426620620191500,000$
10Victor Berglund (R)X100.006629746666595454406140753944435520620204500,000$
11Cam York (R)X100.005132747344496574287646654640408020600182500,000$
12Kaedan Korczak (R)X100.005434755655655755285441684040407620570182500,000$
13Danil Zhuravlyov (R)X100.005425625645544657355048574643415120520192500,000$
TEAM AVERAGE100.00653775696666676759676460615047493865
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
1Zachary Fucale100.00717863717275747679756252513967720241900,000$
2Kevin Lankinen100.00696970696872657269655743435377670242900,000$
Scratches
1Zachary Sawchenko100.00655770605566705048757746484720600224500,000$
2Jacob Ingham100.00714958617151465759526041415520570191500,000$
TEAM AVERAGE100.0069636565676664646467644646494664
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can512500,000$


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
1Joe SnivelyPhantoms (Phi)C785593148-1100969135112324115.67%29161720.73213253602740112354348.34%96610027111.830200013101
2Lucas WallmarkkFlyersC563763100123401041262135811117.37%30124422.221021314118400011285053.00%17643516021.6101000761
3Morgan KlimchukPhantoms (Phi)LW56324577-136085771905712516.84%34127222.73624302921001111084247.27%1102929221.2101000435
4Rem PitlickPhantoms (Phi)RW8028457322801231052537917111.07%28136017.0131215212032024665140.00%1006722011.0711000343
5Cristoval NievesPhantoms (Phi)C67263056-716011899181468514.36%24115317.226612141520002921151.59%8493821010.9700000312
6Blake HeinrichPhantoms (Phi)D7554651-1853510614118356622.73%150199726.6431215302750001161010%04963000.5100100023
7David KampfPhantoms (Phi)C8028174582048771785310615.73%2799412.431012440001593247.64%5943017000.9100000335
8Sven AndrighettoPhantoms (Phi)RW55291544-41958683130366822.31%24115721.0516521321950001683151.24%1212819000.7601000135
9Rinat ValievPhantoms (Phi)D80123143108093144108525311.11%105179322.426410112140001213100%02464000.4800000012
10J.T. BrownPhantoms (Phi)RW7218213972801097494305619.15%27124117.2535861440005635149.37%791318000.6300000114
11Mikko LehtonenPhantoms (Phi)D80102737-1558011112612938477.75%83197924.74381117294000046300%03556000.3711000001
12Andrey PedanPhantoms (Phi)D702252782801331125729323.51%72148421.2001141660111116100%02644000.3600000102
13Laurent DauphinPhantoms (Phi)C75111526-1480424912439628.87%136198.2600000000011048.77%2441913000.8400000011
14Nick SorensenPhantoms (Phi)RW801114252100745312347818.94%1597012.13213458000002043.90%413110000.5202000003
15A.J. GreerPhantoms (Phi)LW801012224260895410633629.43%2191611.450111330000721045.83%24199000.4800000111
16Brett MurrayPhantoms (Phi)LW809918-12415943910333558.74%187329.16000020001110115.79%19185000.4900010010
17Riley StillmanPhantoms (Phi)D8011415-210065553512202.86%50101112.6500009000038000%0525000.3000000010
18Matt KierstedPhantoms (Phi)D804812934056915022258.00%74116614.580001310003132110%0830000.2100000000
19Oliver WahlstromPhantoms (Phi)RW794610-16120251933212212.12%45987.5800001000000038.46%1385000.3300000000
20Anthony AngelloPhantoms (Phi)C15156-20017751014.29%11228.18000000000130137.84%3713000.9800000000
21Ty SmithPhantoms (Phi)D13011-720578440%1418214.0301109000018000%008000.1100000000
22Josiah SlavinPhantoms (Phi)LW9011-620714160%1717.970000000002000%001000.2800000000
23Cooper MarodyPhantoms (Phi)C1000000000000%011.150000000000000%10000000000000
24Victor BerglundPhantoms (Phi)D1000-100021010%11111.280000000000000%00000000000000
25Cam YorkPhantoms (Phi)D2000-200010000%2199.830000100001000%00000001000000
Team Total or Average1444333543876-4646515167016332661874150512.51%8472372016.43801332132732512235241455401550.10%4962583505370.74210110373839
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
1Zachary FucalePhantoms (Phi)63292370.8813.8334661502211857907730.75046019231
2Kevin LankinenPhantoms (Phi)2811820.8853.7613562085741384030.50042060102
Team Total or Average91403190.8823.814822170306259812917688079333


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Country Rookie Weight Height No Trade Available For Trade Acquired By Last Trade Date Force Waivers Waiver Possible Contract Contract Signature Date Force UFA Emergency Recall Type Current Salary Salary RemainingSalary Cap Salary Cap Remaining Exclude from Salary Cap Salary Year 2Salary Year 3Salary Year 4Salary Year 5Salary Year 6Salary Year 7Salary Year 8Salary Year 9Salary Year 10Salary Cap Year 2Salary Cap Year 3Salary Cap Year 4Salary Cap Year 5Salary Cap Year 6Salary Cap Year 7Salary Cap Year 8Salary Cap Year 9Salary Cap Year 10No Trade Year 2No Trade Year 3No Trade Year 4No Trade Year 5No Trade Year 6No Trade Year 7No Trade Year 8No Trade Year 9No Trade Year 10Link
A.J. GreerPhantoms (Phi)LW231996-01-01CANYes210 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm350,000$0$0$No400,000$--------250,000$--------No--------
Alex BeaucagePhantoms (Phi)RW182001-01-01CANYes192 Lbs6 ft1NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Andrey PedanPhantoms (Phi)D261993-01-01LTUNo213 Lbs6 ft5NoNoFree AgentNoNo12024-11-06FalseFalsePro & Farm900,000$0$0$No---------------------------
Anthony AngelloPhantoms (Phi)C231996-01-01USAYes210 Lbs6 ft5NoNoFree AgentNoNo32024-09-07FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Arsen KhisamutdinovPhantoms (Phi)RW211998-01-01RUSYes203 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Benoit-Olivier GroulxPhantoms (Phi)C192000-01-01FRAYes200 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Blake HeinrichPhantoms (Phi)D241995-01-01USANo185 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm950,000$0$0$No---------------------------
Brett MurrayPhantoms (Phi)LW211998-01-01CANYes216 Lbs6 ft4NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Cam YorkPhantoms (Phi)D182001-01-01USAYes194 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Cooper MarodyPhantoms (Phi)C231996-01-01USAYes184 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm350,000$0$0$No400,000$--------250,000$--------No--------
Cristoval NievesPhantoms (Phi)C251994-01-01USANo192 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Danil ZhuravlyovPhantoms (Phi)D192000-01-01RUSYes163 Lbs6 ft0NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
David GustafssonPhantoms (Phi)LW192000-01-01SWEYes196 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
David KampfPhantoms (Phi)C241995-01-01CZENo188 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm800,000$0$0$No900,000$--------700,000$--------No--------
Fabian ZetterlundPhantoms (Phi)LW201999-01-01SWEYes220 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm250,000$0$0$No---------------------------
J.T. BrownPhantoms (Phi)RW291990-01-01USANo170 Lbs5 ft10NoNoFree AgentNoNo12024-11-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Jacob InghamPhantoms (Phi)G192000-01-01CANNo205 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Joe SnivelyPhantoms (Phi)C231996-01-01USAYes176 Lbs5 ft9NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Josiah SlavinPhantoms (Phi)LW211998-01-01USAYes189 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Kaedan KorczakPhantoms (Phi)D182001-01-01CANYes201 Lbs6 ft3NoNoAssign ManuallyNoNo22024-07-10FalseFalsePro & Farm500,000$0$0$No500,000$--------500,000$--------No--------Link
Kevin LankinenPhantoms (Phi)G241995-01-01FINNo185 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$0$0$No900,000$--------900,000$--------No--------
Laurent DauphinPhantoms (Phi)C241995-01-01CANNo185 Lbs6 ft0NoNoFree AgentNoNo22024-09-07FalseFalsePro & Farm750,000$0$0$No750,000$--------750,000$--------No--------
Matt KierstedPhantoms (Phi)D211998-01-01USAYes184 Lbs5 ft11NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Mikko LehtonenPhantoms (Phi)D251994-01-01FINNo196 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm750,000$0$0$No---------------------------
Morgan KlimchukPhantoms (Phi)LW241995-01-01CANNo185 Lbs5 ft11NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Nick SorensenPhantoms (Phi)RW251994-01-01SWENo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm800,000$0$0$No---------------------------
Oliver WahlstromPhantoms (Phi)RW192000-01-01USAYes204 Lbs6 ft2NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Rem PitlickPhantoms (Phi)RW221997-01-01USAYes196 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm900,000$0$0$No---------------------------
Riley StillmanPhantoms (Phi)D211998-01-01USAYes196 Lbs6 ft1NoNoN/ANoNo3FalseFalsePro & Farm500,000$0$0$No500,000$500,000$-------500,000$500,000$-------NoNo-------
Rinat ValievPhantoms (Phi)D241995-01-01RUSNo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm850,000$0$0$No---------------------------
Sven AndrighettoPhantoms (Phi)RW261993-01-01CHENo185 Lbs5 ft10NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm950,000$0$0$No---------------------------
Ty SmithPhantoms (Phi)D192000-01-01CANYes180 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$0$0$No---------------------------
Victor BerglundPhantoms (Phi)D201999-01-01SWEYes183 Lbs6 ft1NoNoFree AgentNoNo42024-09-07FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Zachary FucalePhantoms (Phi)G241995-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo12024-09-07FalseFalsePro & Farm900,000$0$0$No---------------------------
Zachary SawchenkoPhantoms (Phi)G221997-01-01CANNo185 Lbs6 ft1NoNoFree AgentNoNo42024-09-07FalseFalsePro & Farm500,000$0$0$No500,000$500,000$500,000$------500,000$500,000$500,000$------NoNoNo------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3522.09192 Lbs6 ft11.69642,857$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJoe SnivelySven Andrighetto42113
2J.T. BrownCristoval NievesRem Pitlick33113
3Brett MurrayDavid KampfNick Sorensen20113
4A.J. GreerLaurent DauphinOliver Wahlstrom5131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichMikko Lehtonen45023
2Andrey PedanRinat Valiev35023
3Riley StillmanMatt Kiersted20131
4Riley StillmanMatt Kiersted0131
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJoe SnivelySven Andrighetto60014
2J.T. BrownCristoval NievesRem Pitlick40014
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichMikko Lehtonen60014
2Andrey PedanRinat Valiev40014
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1David KampfMorgan Klimchuk60140
2Cristoval NievesJ.T. Brown40140
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60140
2Andrey PedanMatt Kiersted40140
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Morgan Klimchuk60140Blake HeinrichRinat Valiev60140
2J.T. Brown40140Andrey PedanMatt Kiersted40140
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Joe SnivelyMorgan Klimchuk60122
2David KampfSven Andrighetto40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichMikko Lehtonen60122
2Andrey PedanRinat Valiev40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJoe SnivelySven AndrighettoBlake HeinrichMikko Lehtonen
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJoe SnivelySven AndrighettoBlake HeinrichRinat Valiev
Extra Forwards
Normal PowerPlayPenalty Kill
Morgan Klimchuk, J.T. Brown, Nick SorensenMorgan Klimchuk, J.T. BrownRem Pitlick
Extra Defensemen
Normal PowerPlayPenalty Kill
Blake Heinrich, Rinat Valiev, Andrey PedanMikko LehtonenBlake Heinrich, Rinat Valiev
Penalty Shots
Joe Snively, Rem Pitlick, Morgan Klimchuk, Nick Sorensen, Sven Andrighetto
Goalie
#1 : Zachary Fucale, #2 : Kevin Lankinen
Custom OT Lines Forwards
Morgan Klimchuk, Joe Snively, Sven Andrighetto, J.T. Brown, Rem Pitlick, Cristoval Nieves, Nick Sorensen, David Kampf, Brett Murray, A.J. Greer
Custom OT Lines Defensemen
Blake Heinrich, Mikko Lehtonen, Andrey Pedan, Rinat Valiev, Matt Kiersted


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
1Admirals31101000201461010000067-121001000147740.6672034540087137102811191794576344962646509333.33%13469.23%0936183451.04%852171949.56%698134551.90%1747100116637261422721
2Americans431000001714332100000121021100000054160.750172744008713710281399179457634413244289111218.18%14192.86%0936183451.04%852171949.56%698134551.90%1747100116637261422721
3Barracuda3200100017982100100013761100000042261.00017294600871371028106917945763448640126210440.00%6183.33%0936183451.04%852171949.56%698134551.90%1747100116637261422721
4Bears210001009901000010056-11100000043130.7509132200871371028569179457634463124506116.67%2150.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
5Canucks64100100302553210000013112320001001714390.7503047771087137102819991794576344196604410426623.08%22863.64%2936183451.04%852171949.56%698134551.90%1747100116637261422721
6Checkers2110000013851010000056-11100000082620.500132336008713710286891794576344742912367342.86%6183.33%0936183451.04%852171949.56%698134551.90%1747100116637261422721
7Comets220000001055110000005231100000053241.00010142400871371028669179457634474224363133.33%20100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
8Condors321000001082220000008531010000023-140.6671017270087137102896917945763448623257316318.75%7271.43%0936183451.04%852171949.56%698134551.90%1747100116637261422721
9Crunch2110000067-1110000002111010000046-220.5006101610871371028729179457634466186384250.00%30100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
10Eagles3110100014104110000008442010100066040.66714243800871371028959179457634410231108113323.08%5180.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
11Firebirds211000006601010000024-21100000042220.50061016008713710286791794576344632916525120.00%8187.50%0936183451.04%852171949.56%698134551.90%1747100116637261422721
12Griffins402001011523-81000010045-1302000011118-720.250152540008713710281519179457634415052207617423.53%10280.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
13Gulls30300000814-62020000048-41010000046-200.000814221087137102810091794576344922786516425.00%40100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
14Icehogs303000001216-41010000057-22020000079-200.0001221331087137102897917945763441012916558112.50%8362.50%0936183451.04%852171949.56%698134551.90%1747100116637261422721
15Islander211000008801010000035-21100000053220.500814220087137102857917945763446618163710220.00%8362.50%0936183451.04%852171949.56%698134551.90%1747100116637261422721
16Little Stars20001100660100010003211000010034-130.750681400871371028669179457634453204409111.11%20100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
17Marlies623010001920-1321000001410430201000510-560.5001927460087137102817791794576344180735514029620.69%28389.29%0936183451.04%852171949.56%698134551.90%1747100116637261422721
18Moose32100000151231100000043121100000119240.66715254010871371028999179457634411127225515640.00%11190.91%0936183451.04%852171949.56%698134551.90%1747100116637261422721
19Penguins20200000610-41010000036-31010000034-100.00069150087137102865917945763447025249500.00%10100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
20Punishers220000001174110000004131100000076141.00011172800871371028749179457634460156476350.00%30100.00%0936183451.04%852171949.56%698134551.90%1747100116637261422721
21Rockets613001012227-5302000011115-4311001001112-140.33322365800871371028211917945763441937244124311135.48%22672.73%0936183451.04%852171949.56%698134551.90%1747100116637261422721
22Senators43100000171163210000013851100000043160.75017304700871371028143917945763441375314681417.14%7271.43%0936183451.04%852171949.56%698134551.90%1747100116637261422721
23Thunderbirds210010001055110000005141000100054141.000101626008713710287691794576344662418519222.22%9188.89%0936183451.04%852171949.56%698134551.90%1747100116637261422721
24Wolfpack30101100812-4100010004312010010049-530.50081523008713710281049179457634410837187110220.00%9455.56%0936183451.04%852171949.56%698134551.90%1747100116637261422721
25Wranglers623001002428-4311001001517-231200000911-250.4172438621087137102816691794576344179413211936822.22%16568.75%0936183451.04%852171949.56%698134551.90%1747100116637261422721
Total80333107702333314194018150330117115417401516044011621602890.55633354387660871371028266191794576344260484748216703258024.62%2265077.88%2936183451.04%852171949.56%698134551.90%1747100116637261422721
_Since Last GM Reset80333107702333314194018150330117115417401516044011621602890.55633354387660871371028266191794576344260484748216703258024.62%2265077.88%2936183451.04%852171949.56%698134551.90%1747100116637261422721
_Vs Conference48182203302196196025111001201109102723712021018794-7470.4901963235194087137102815969179457634415435073229782125325.00%1463079.45%0936183451.04%852171949.56%698134551.90%1747100116637261422721
_Vs Division1859012016575-10934001014042-2925011002533-8150.417651011661087137102855491794576344552186131383962526.04%661478.79%0936183451.04%852171949.56%698134551.90%1747100116637261422721

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8089W133354387626612604847482167060
All Games
GPWLOTWOTL SOWSOLGFGA
8033317702333314
Home Games
GPWLOTWOTL SOWSOLGFGA
4018153301171154
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4015164401162160
Last 10 Games
WLOTWOTL SOWSOL
441100
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3258024.62%2265077.88%2
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
91794576344871371028
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
936183451.04%852171949.56%698134551.90%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1747100116637261422721


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
415Senators3Phantoms2LBoxScore
627Canucks6Phantoms4LBoxScore
945Phantoms4Canucks5LXBoxScore
1153Phantoms3Griffins7LBoxScore
1361Wranglers4Phantoms5WR1BoxScore
1674Phantoms3Wranglers5LBoxScore
1886Phantoms0Marlies5LBoxScore
2095Rockets6Phantoms5LXXR1BoxScore
22113Marlies6Phantoms2LBoxScore
23118Phantoms5Rockets6LXR1BoxScore
26130Phantoms6Admirals5WXBoxScore
28142Americans4Phantoms5WBoxScore
32165Marlies2Phantoms7WBoxScore
34178Phantoms5Moose7LBoxScore
36188Phantoms4Eagles3WXBoxScore
38195Barracuda2Phantoms7WBoxScore
42216Phantoms4Bears3WBoxScore
45226Islander5Phantoms3LBoxScore
48242Phantoms2Eagles3LBoxScore
50250Penguins6Phantoms3LBoxScore
53269Comets2Phantoms5WBoxScore
57289Rockets4Phantoms2LR1BoxScore
61310Phantoms5Thunderbirds4WXBoxScore
63318Punishers1Phantoms4WBoxScore
65332Phantoms6Moose2WBoxScore
67342Marlies2Phantoms5WBoxScore
69352Phantoms8Checkers2WBoxScore
72370Rockets5Phantoms4LR1BoxScore
77394Little Stars2Phantoms3WXBoxScore
79402Phantoms4Crunch6LBoxScore
81415Phantoms8Admirals2WBoxScore
82423Thunderbirds1Phantoms5WBoxScore
85436Phantoms4Barracuda2WBoxScore
87448Americans4Phantoms3LBoxScore
89459Phantoms4Senators3WBoxScore
93476Barracuda5Phantoms6WXBoxScore
96493Phantoms5Islander3WBoxScore
98501Phantoms4Firebirds2WBoxScore
99506Admirals7Phantoms6LBoxScore
102522Phantoms3Icehogs4LBoxScore
104526Phantoms4Gulls6LBoxScore
106537Americans2Phantoms4WBoxScore
108551Phantoms7Punishers6WBoxScore
110562Bears6Phantoms5LXBoxScore
113576Phantoms4Griffins6LBoxScore
115587Griffins5Phantoms4LXBoxScore
118605Phantoms3Penguins4LBoxScore
119611Wolfpack3Phantoms4WXBoxScore
123627Phantoms4Griffins5LXXBoxScore
126641Eagles4Phantoms8WBoxScore
129662Checkers6Phantoms5LBoxScore
131676Phantoms5Americans4WBoxScore
133686Moose3Phantoms4WBoxScore
136706Condors4Phantoms5WBoxScore
138715Phantoms2Condors3LBoxScore
141734Icehogs7Phantoms5LBoxScore
143743Phantoms4Icehogs5LBoxScore
145759Wranglers7Phantoms6LXR1BoxScore
147765Phantoms3Wranglers5LBoxScore
149779Phantoms3Little Stars4LXBoxScore
151789Phantoms6Canucks5WBoxScore
153797Wranglers6Phantoms4LR1BoxScore
155811Phantoms3Wranglers1WBoxScore
157820Phantoms4Rockets2WR1BoxScore
158827Senators3Phantoms7WBoxScore
161841Phantoms5Comets3WBoxScore
162852Phantoms2Rockets4LR1BoxScore
164858Gulls3Phantoms1LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
168878Senators2Phantoms4WBoxScore
170888Phantoms7Canucks4WBoxScore
173906Firebirds4Phantoms2LBoxScore
176923Crunch1Phantoms2WBoxScore
178932Phantoms3Wolfpack4LXBoxScore
182953Condors1Phantoms3WBoxScore
186973Gulls5Phantoms3LBoxScore
188980Phantoms1Wolfpack5LBoxScore
191998Canucks4Phantoms6WBoxScore
192999Phantoms3Marlies2WXBoxScore
1961021Phantoms2Marlies3LBoxScore
1991035Canucks1Phantoms3WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance75,43837,589
Attendance PCT94.30%93.97%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2826 - 94.19% 178,086$7,123,429$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
2,751,167$ 2,250,000$ 2,250,000$ 500,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,139$ 2,232,582$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 13,614$ 0$




Phantoms Players Stat Leaders (Regular Season)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA

Phantoms Career Team Stats

OverallHomeVisitor
Year GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff GP W L T OTW OTL SOW SOL GF GA Diff P G A TP SO EG GP1 GP2 GP3 GP4 SHF SH1 SP2 SP3 SP4 SHA SHB Pim Hit PPA PPG PP% PKA PK GA PK% PK GF W OF FO T OF FO OF FO% W DF FO T DF FO DF FO% W NT FO T NT FO NT FO% PZ DF PZ OF PZ NT PC DF PC OF PC NT

Phantoms Players Stat Leaders (Play-Off)

# Player Name GP G A P +/- PIM HIT HTT SHT SHT% SB MP AMG PPG PPA PPP PPS PKG PKA PKP PKS GW GT FO% HT P/20 PSG PSS

Phantoms Goalies Stat Leaders (Play-Off)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA