Your STHS is out of Date! Please update your STHS version!
Login

Phantoms
GP: 80 | W: 41 | L: 37 | OTL: 2 | P: 84
GF: 322 | GA: 321 | PP%: 22.57% | PK%: 75.15%
GM : Simon DeChamplain | Morale : 46 | Team Overall : 64
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
Marlies
34-38-8, 76pts
5
FINAL
3 Phantoms
41-37-2, 84pts
Team Stats
L1StreakW1
18-19-3Home Record19-19-2
16-19-5Home Record22-18-0
7-2-1Last 10 Games6-4-0
3.65Goals Per Game4.03
4.05Goals Against Per Game4.01
22.30%Power Play Percentage22.57%
80.63%Penalty Kill Percentage75.15%
Marlies
34-38-8, 76pts
3
FINAL
6 Phantoms
41-37-2, 84pts
Team Stats
L1StreakW1
18-19-3Home Record19-19-2
16-19-5Home Record22-18-0
7-2-1Last 10 Games6-4-0
3.65Goals Per Game4.03
4.05Goals Against Per Game4.01
22.30%Power Play Percentage22.57%
80.63%Penalty Kill Percentage75.15%
Team Leaders
Goals
Rem Pitlick
44
Assists
Morgan Klimchuk
70
Points
Morgan Klimchuk
113
Plus/Minus
Nick Sorensen
22
Wins
Anton Forsberg
37
Save Percentage
Zachary Fucale
0.886

Team Stats
Goals For
322
4.03 GFG
Shots For
2525
31.56 Avg
Power Play Percentage
22.6%
72 GF
Offensive Zone Start
35.3%
Goals Against
321
4.01 GAA
Shots Against
2680
33.50 Avg
Penalty Kill Percentage
75.1%%
83 GA
Defensive Zone Start
38.6%
Team Info

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


Arena Info

Capacity3,000
Attendance2,791
Season Tickets300


Roster Info

Pro Team31
Farm Team18
Contract Limit49 / 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
1Sven AndrighettoX100.008135827280767369766677627463534020710251700,000$
2Joe Snively (R)X100.006833828666776777737373538347486055700221500,000$
3Cristoval Nieves (R)X100.007226787768737775758069577250523962700242900,000$
4Lucas Wallmarkk (R)X100.007438757168757076747870686847454866700222800,000$
5Morgan Klimchuk (R)X100.007032747472777571667473737852464166700231650,000$
6David Kampf (R)X100.006143846572726974687076596846494666680233750,000$
7Erik NystromX100.007323776776737272656174677652503253680251800,000$
8Rem Pitlick (R)X100.006429718268766582736865627645466062680212900,000$
9Nick Sorensen (R)X100.006233797373706967655974557549514166660241525,000$
10A.J. Greer (R)X100.006243646968647362626263565547464159610223300,000$
11Brett Murray (R)X100.007741647078556661465764554442425754600204500,000$
12Oliver Wahlstrom (R)X100.005937754673696564666271416540408459600182500,000$
13Blake Heinrich (R)X100.007335737476776562527571785861474054710231500,000$
14Rinat Valiev (R)X100.007334817469696574576762726453484745690231500,000$
15Mikko Lehtonen (R)X100.007141776454687274536971616250524148660242750,000$
16Riley Stillman (R)X100.006842636262576353375953584642425666590204500,000$
17Ty Smith (R)X100.004826676553496073327148544440407566560182500,000$
18Victor Berglund (R)X100.006229675962544945315431683041416338560191500,000$
Scratches
1Laurent Dauphin (R)X100.007442806470657171637466526845453835650231500,000$
2Anthony Angello (R)X100.005139816665756757676664595644444035620221450,000$
3Cooper Marody (R)X100.004537716453606263747459415046444331590223300,000$
4Josiah Slavin (R)X100.005837735263715962686170385145455753590202500,000$
5Benoit-Olivier Groulx (R)X100.005942745765566258625860525740406531570182500,000$
6Fabian Zetterlund (R)X100.004736715665655855564869436141416135560191500,000$
7David Gustafsson (R)X100.005234705947535655716553415040407125540182500,000$
8Matt Kiersted (R)X80.206646656667585758465847625343435446600204500,000$
TEAM AVERAGE99.24643674676767666661666457614745525064
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 Forsberg100.00757574777079767373767573733467740261975,000$
2Zachary Fucale100.00697862697175747679756150484255720231500,000$
Scratches
1Kevin Lankinen100.00686766686671627167645642426019650233900,000$
2Zachary Sawchenko100.00635469555265674747737545475420580211500,000$
3Jacob Ingham (R)100.00694357606950425657505940406120550182500,000$
TEAM AVERAGE100.0069636666666864656568655050503665
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
Kevin Dineen73656679327257Can503500,000$


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
1Morgan KlimchukPhantoms (Phi)LW80437011365401251402869518815.03%41191323.92919284725922462506243.06%3537136111.1803000643
2Rem PitlickPhantoms (Phi)RW80444892-3835107823079215614.33%42134616.8314152949225000145247.37%956827101.3700000386
3Joe SnivelyPhantoms (Phi)C71335487123551201442757417012.00%29146320.614172122203213121666250.13%15486124011.1933100725
4Lucas WallmarkkPhantoms (Phi)C80384684144401191482386813415.97%46143217.911011212615612351713151.04%14973932101.1704000752
5Cristoval NievesPhantoms (Phi)C77234164-142001281131906310512.11%42122815.9529111210713481151245.47%8054114001.0401000102
6Rinat ValievPhantoms (Phi)D71134760193958714213855569.42%113193527.2681119252551233255100%03575000.6200001032
7Erik NystromPhantoms (Phi)LW701833511222013091140588712.86%24113816.265712181810002274052.08%482819000.9000000333
8Nick SorensenPhantoms (Phi)RW80212344222808173157508113.38%22110013.752245104000061045.00%404819000.8000000052
9Sven AndrighettoPhantoms (Phi)RW4921214201006253110337319.09%2889018.188614181441126695041.90%2102911010.9400000131
10Mikko LehtonenPhantoms (Phi)D78102434-338109811612046458.33%92181323.2554992140113219210%03150100.3700002202
11David KampfPhantoms (Phi)C80171431-2605268123368613.82%3183610.46000010000052145.87%2182525000.7411000203
12A.J. GreerPhantoms (Phi)LW73161329-2360964876274821.05%2689112.211341342028860334.48%291219000.6500000111
13Cal FooteFlyersD38124259701091715927231.69%67104227.4405581380334127000%01334000.4800110011
14Oliver WahlstromPhantoms (Phi)RW7881018-14140473854152714.81%127629.7800004000001040.91%22710000.4700000001
15Riley StillmanPhantoms (Phi)D8021517156071815415223.70%76133116.6405531080220109000%0737000.2600000020
16Ty SmithPhantoms (Phi)D801141514202362391982.56%54105513.19101121011070000%0728000.2800000100
17Matt KierstedPhantoms (Phi)D7321315-1252071943617215.56%89128217.5710151570110149100%0850000.2300000001
18Brett MurrayPhantoms (Phi)LW745914-234077385117449.80%166058.1800001000060038.46%13116100.4600000000
19Victor BerglundPhantoms (Phi)D562810-524034622011610.00%6280514.38202466000071000%0335000.2500000010
20Anthony AngelloPhantoms (Phi)C551345004742225.00%21292.36000091013230052.94%1700000.6200000000
21Laurent DauphinPhantoms (Phi)C55033-4602211348130%52103.8200018011020043.10%5822000.2900000000
22Josiah SlavinPhantoms (Phi)LW70022-1020219105140%32623.75000010001360040.00%2022000.1500000000
23Blake HeinrichPhantoms (Phi)D1000200133200%32929.030000600003000%00000000000000
24Benoit-Olivier GroulxPhantoms (Phi)C52000000010000%020.050000000000000%00000000000000
25Cooper MarodyPhantoms (Phi)C52000000001130%0350.68000000001280035.00%200000000000000
26Fabian ZetterlundPhantoms (Phi)LW55000000000000%050.090000000001000%00000000000000
Team Total or Average17083195358543271535166716952525836141212.63%9252354813.79721141862542422112031632009381448.21%4993548555530.73412213343835
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)73372820.8813.9939404026222021078440.90911737411
2Zachary FucalePhantoms (Phi)224900.8863.6788200544732250100767100
Team Total or Average95413720.8823.934822403162675130345118074511


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 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 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)LW221996-01-01Yes210 Lbs6 ft3NoNoN/ANoNo3FalseFalsePro & Farm300,000$1,493$0$0$No350,000$400,000$-------NoNo-------
Anthony AngelloPhantoms (Phi)C221996-01-01Yes210 Lbs6 ft5NoNoN/ANoNo1FalseFalsePro & Farm450,000$2,239$0$0$No------------------
Anton ForsbergPhantoms (Phi)G261992-01-01No191 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm975,000$4,851$0$0$No------------------
Benoit-Olivier GroulxPhantoms (Phi)C182000-01-01Yes200 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Blake HeinrichPhantoms (Phi)D231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Brett MurrayPhantoms (Phi)LW201998-01-01Yes216 Lbs6 ft4NoNoN/ANoNo4FalseFalsePro & Farm500,000$2,488$0$0$No500,000$500,000$500,000$------NoNoNo------
Cooper MarodyPhantoms (Phi)C221996-01-01Yes184 Lbs6 ft0NoNoN/ANoNo3FalseFalsePro & Farm300,000$1,493$0$0$No350,000$400,000$-------NoNo-------
Cristoval NievesPhantoms (Phi)C241994-01-01Yes192 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
David GustafssonPhantoms (Phi)LW182000-01-01Yes196 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
David KampfPhantoms (Phi)C231995-01-01Yes188 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm750,000$3,731$0$0$No800,000$900,000$-------NoNo-------
Erik NystromPhantoms (Phi)LW251993-01-01No176 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm800,000$3,980$0$0$No------------------
Fabian ZetterlundPhantoms (Phi)LW191999-01-01Yes220 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Jacob InghamPhantoms (Phi)G182000-01-01Yes205 Lbs6 ft5NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Joe SnivelyPhantoms (Phi)C221996-01-01Yes176 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Josiah SlavinPhantoms (Phi)LW201998-01-01Yes189 Lbs6 ft3NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Kevin LankinenPhantoms (Phi)G231995-01-01No185 Lbs6 ft2NoNoN/ANoNo3FalseFalsePro & Farm900,000$4,478$0$0$No900,000$900,000$-------NoNo-------
Laurent DauphinPhantoms (Phi)C231995-01-01Yes185 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Lucas WallmarkkPhantoms (Phi)C221996-01-01Yes178 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm800,000$3,980$0$0$No900,000$--------No--------
Matt Kiersted (Out of Payroll)Phantoms (Phi)D201998-01-01Yes184 Lbs5 ft11NoNoN/ANoNo4FalseFalsePro & Farm500,000$2,488$0$0$Yes500,000$500,000$500,000$------NoNoNo------
Mikko LehtonenPhantoms (Phi)D241994-01-01Yes196 Lbs6 ft0NoNoN/ANoNo2FalseFalsePro & Farm750,000$3,731$0$0$No750,000$--------No--------
Morgan KlimchukPhantoms (Phi)LW231995-01-01Yes185 Lbs5 ft11NoNoN/ANoNo1FalseFalsePro & Farm650,000$3,234$0$0$No------------------
Nick SorensenPhantoms (Phi)RW241994-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm525,000$2,612$0$0$No------------------
Oliver WahlstromPhantoms (Phi)RW182000-01-01Yes204 Lbs6 ft2NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Rem PitlickPhantoms (Phi)RW211997-01-01Yes196 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm900,000$4,478$0$0$No900,000$--------No--------
Riley StillmanPhantoms (Phi)D201998-01-01Yes196 Lbs6 ft1NoNoN/ANoNo4FalseFalsePro & Farm500,000$2,488$0$0$No500,000$500,000$500,000$------NoNoNo------
Rinat ValievPhantoms (Phi)D231995-01-01Yes185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Sven AndrighettoPhantoms (Phi)RW251993-01-01No185 Lbs5 ft10NoNoN/ANoNo1FalseFalsePro & Farm700,000$3,483$0$0$No------------------
Ty SmithPhantoms (Phi)D182000-01-01Yes180 Lbs5 ft11NoNoN/ANoNo2FalseFalsePro & Farm500,000$2,488$0$0$No500,000$--------No--------Link
Victor BerglundPhantoms (Phi)D191999-01-01Yes183 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Zachary FucalePhantoms (Phi)G231995-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Zachary SawchenkoPhantoms (Phi)G211997-01-01No185 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm500,000$2,488$0$0$No------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
3121.58191 Lbs6 ft11.87587,097$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJoe SnivelySven Andrighetto40122
2Erik NystromCristoval NievesRem Pitlick30122
3A.J. GreerLucas WallmarkkNick Sorensen20122
4Brett MurrayDavid KampfOliver Wahlstrom10122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev40122
2Mikko LehtonenRiley Stillman30122
3Ty SmithVictor Berglund20122
4Blake HeinrichRinat Valiev10122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Morgan KlimchukJoe SnivelySven Andrighetto60122
2Erik NystromCristoval NievesRem Pitlick40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Sven AndrighettoMorgan Klimchuk60122
2Joe SnivelyCristoval Nieves40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Sven Andrighetto60122Blake HeinrichRinat Valiev60122
2Morgan Klimchuk40122Mikko LehtonenRiley Stillman40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Sven AndrighettoMorgan Klimchuk60122
2Joe SnivelyCristoval Nieves40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Blake HeinrichRinat Valiev60122
2Mikko LehtonenRiley Stillman40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJoe SnivelySven AndrighettoBlake HeinrichRinat Valiev
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Morgan KlimchukJoe SnivelySven AndrighettoBlake HeinrichRinat Valiev
Extra Forwards
Normal PowerPlayPenalty Kill
Lucas Wallmarkk, David Kampf, Nick SorensenLucas Wallmarkk, David KampfNick Sorensen
Extra Defensemen
Normal PowerPlayPenalty Kill
Ty Smith, Victor Berglund, Mikko LehtonenTy SmithVictor Berglund, Mikko Lehtonen
Penalty Shots
Sven Andrighetto, Morgan Klimchuk, Joe Snively, Cristoval Nieves, Lucas Wallmarkk
Goalie
#1 : Anton Forsberg, #2 : Zachary Fucale
Custom OT Lines Forwards
Sven Andrighetto, Morgan Klimchuk, Joe Snively, Cristoval Nieves, Lucas Wallmarkk, Erik Nystrom, Erik Nystrom, Rem Pitlick, David Kampf, Nick Sorensen, A.J. Greer
Custom OT Lines Defensemen
Blake Heinrich, Rinat Valiev, Mikko Lehtonen, Riley Stillman, Ty Smith


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
1Admirals3110001014113211000007521000001076140.66714233700819314091028258348562010637205710110.00%10460.00%0888175350.66%856191844.63%663129551.20%162688317637631442711
2Americans32001000191271100000084421001000118361.000193453008193140910182583485620994516676116.67%8187.50%0888175350.66%856191844.63%663129551.20%162688317637631442711
3Barracuda30300000922-1320200000514-91010000048-400.000917260081931409858258348562010134435811327.27%19952.63%1888175350.66%856191844.63%663129551.20%162688317637631442711
4Bears20200000610-41010000024-21010000046-200.000691510819314096082583485620732120344125.00%11372.73%0888175350.66%856191844.63%663129551.20%162688317637631442711
5Canucks2110000079-21010000036-31100000043120.50071219008193140959825834856205919144013646.15%7357.14%0888175350.66%856191844.63%663129551.20%162688317637631442711
6Checkers211000007701010000024-21100000053220.5007111810819314095682583485620612912376233.33%60100.00%0888175350.66%856191844.63%663129551.20%162688317637631442711
7Comets20200000912-31010000046-21010000056-100.000915241081931409728258348562053231435100.00%7271.43%1888175350.66%856191844.63%663129551.20%162688317637631442711
8Condors421010001714321100000101002100100074360.75017324900819314091128258348562013346398814321.43%17382.35%1888175350.66%856191844.63%663129551.20%162688317637631442711
9Crunch41300000161511010000035-2312000001310320.25016294500819314091338258348562013938267913323.08%13192.31%3888175350.66%856191844.63%663129551.20%162688317637631442711
10Eagles211000006511010000012-11100000053220.50061016008193140965825834856206122123513430.77%6183.33%0888175350.66%856191844.63%663129551.20%162688317637631442711
11Griffins3210000012102110000007432110000056-140.667121931008193140910082583485620884424681119.09%12375.00%1888175350.66%856191844.63%663129551.20%162688317637631442711
12Icehogs31000110963210001005321000001043150.8339132200819314097782583485620773730649333.33%15286.67%0888175350.66%856191844.63%663129551.20%162688317637631442711
13Islander21100000761110000006151010000015-420.50071219008193140968825834856205919123711327.27%6183.33%1888175350.66%856191844.63%663129551.20%162688317637631442711
14Little Stars20200000912-31010000035-21010000067-100.0009122100819314097682583485620783122417114.29%11281.82%1888175350.66%856191844.63%663129551.20%162688317637631442711
15Marlies6320001026215311000101412232100000129380.667264672208193140919382583485620199618112330620.00%33972.73%0888175350.66%856191844.63%663129551.20%162688317637631442711
16Moose311001001618-22100010012931010000049-530.500162743008193140993825834856201092949611119.09%13284.62%1888175350.66%856191844.63%663129551.20%162688317637631442711
17Penguins312000001113-21010000045-12110000078-120.333111627008193140998825834856201054221618225.00%8275.00%0888175350.66%856191844.63%663129551.20%162688317637631442711
18Punishers220000001064110000003211100000074341.00010162600819314097382583485620662914438225.00%7185.71%0888175350.66%856191844.63%663129551.20%162688317637631442711
19Reign624000001725-831200000511-6312000001214-240.333172744008193140918082583485620199598013826415.38%411075.61%0888175350.66%856191844.63%663129551.20%162688317637631442711
20Rocket31101000131122100100011651010000025-340.6671323360081931409888258348562011434227612325.00%11281.82%1888175350.66%856191844.63%663129551.20%162688317637631442711
21Senators7420100036261042101000191273210000017143100.714365692008193140923182583485620251864414925832.00%22577.27%0888175350.66%856191844.63%663129551.20%162688317637631442711
22Silver Knights2110000058-3110000003211010000026-420.500591400819314095182583485620712214538112.50%6266.67%0888175350.66%856191844.63%663129551.20%162688317637631442711
23Thunderbirds2020000049-51010000024-21010000025-300.00047110081931409768258348562073321028800.00%5180.00%0888175350.66%856191844.63%663129551.20%162688317637631442711
24Wolfpack3300000013851100000032122000000106461.0001319320081931409958258348562010324227513430.77%11372.73%0888175350.66%856191844.63%663129551.20%162688317637631442711
25Wranglers623010002425-130201000812-4321000001613360.500244165008193140918182583485620203625812041921.95%291162.07%0888175350.66%856191844.63%663129551.20%162688317637631442711
Total803337052303223211401519032101501500401818020201721711840.5253225358575081931409252582583485620268092571916673197222.57%3348375.15%11888175350.66%856191844.63%663129551.20%162688317637631442711
_Since Last GM Reset803337052303223211401519032101501500401818020201721711840.5253225358575081931409252582583485620268092571916673197222.57%3348375.15%11888175350.66%856191844.63%663129551.20%162688317637631442711
_Vs Conference50211905230212201112711100321011110292310902020101992600.6002123585702081931409154382583485620167957450610692064320.87%2306173.48%5888175350.66%856191844.63%663129551.20%162688317637631442711
_Vs Division1879010106771-4925010102735-89540000040364180.50067114181208193140955482583485620601182219381971919.59%1033070.87%0888175350.66%856191844.63%663129551.20%162688317637631442711

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8084W132253585725252680925719166750
All Games
GPWLOTWOTL SOWSOLGFGA
8033375230322321
Home Games
GPWLOTWOTL SOWSOLGFGA
4015193210150150
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4018182020172171
Last 10 Games
WLOTWOTL SOWSOL
442000
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3197222.57%3348375.15%11
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8258348562081931409
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
888175350.66%856191844.63%663129551.20%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
162688317637631442711


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
26Phantoms8Crunch2WBoxScore
419Senators3Phantoms2LBoxScore
636Wranglers6Phantoms2LR1BoxScore
953Phantoms6Marlies3WBoxScore
1161Marlies4Phantoms5WXXBoxScore
1477Phantoms6Reign5WR1BoxScore
1791Senators4Phantoms5WXBoxScore
18100Phantoms3Senators4LBoxScore
21111Reign1Phantoms3WR1BoxScore
23124Phantoms9Senators7WBoxScore
24127Phantoms8Wranglers5WR1BoxScore
27145Wranglers3Phantoms4WXBoxScore
29159Phantoms5Wolfpack2WBoxScore
31170Moose4Phantoms8WBoxScore
36189Icehogs2Phantoms1LXBoxScore
40213Admirals4Phantoms2LBoxScore
42223Phantoms7Admirals6WXXBoxScore
44231Phantoms2Rocket5LBoxScore
46243Phantoms5Americans3WBoxScore
48251Phantoms4Icehogs3WXXBoxScore
50258Wranglers3Phantoms2LR1BoxScore
52268Phantoms1Islander5LBoxScore
54278Islander1Phantoms6WBoxScore
56288Phantoms2Thunderbirds5LBoxScore
60306Eagles2Phantoms1LBoxScore
62317Phantoms5Eagles3WBoxScore
64331Crunch5Phantoms3LBoxScore
66344Phantoms7Punishers4WBoxScore
68356Senators1Phantoms4WBoxScore
71375Phantoms6Americans5WXBoxScore
73383Comets6Phantoms4LBoxScore
76400Phantoms3Penguins5LBoxScore
78408Canucks6Phantoms3LBoxScore
81421Phantoms4Penguins3WBoxScore
83432Phantoms2Silver Knights6LBoxScore
84440Thunderbirds4Phantoms2LBoxScore
87458Phantoms3Marlies5LBoxScore
88465Moose5Phantoms4LXBoxScore
91472Phantoms4Moose9LBoxScore
94491Phantoms3Griffins2WBoxScore
95494Checkers4Phantoms2LBoxScore
98514Phantoms4Bears6LBoxScore
99520Rocket2Phantoms6WBoxScore
101536Phantoms3Reign5LR1BoxScore
104545Admirals1Phantoms5WBoxScore
106557Phantoms3Marlies1WBoxScore
108569Punishers2Phantoms3WBoxScore
112588Phantoms6Little Stars7LBoxScore
114597Barracuda8Phantoms4LBoxScore
116607Phantoms5Wolfpack4WBoxScore
118618Phantoms4Barracuda8LBoxScore
119623Griffins4Phantoms7WBoxScore
122644Phantoms4Canucks3WBoxScore
123650Little Stars5Phantoms3LBoxScore
126664Phantoms5Comets6LBoxScore
128676Penguins5Phantoms4LBoxScore
130688Phantoms3Reign4LR1BoxScore
132698Phantoms2Griffins4LBoxScore
133703Condors2Phantoms5WBoxScore
137728Condors8Phantoms5LBoxScore
141752Icehogs1Phantoms4WBoxScore
143766Phantoms6Wranglers4WR1BoxScore
145778Bears4Phantoms2LBoxScore
147790Phantoms5Checkers3WBoxScore
149800Phantoms3Condors1WBoxScore
150806Barracuda6Phantoms1LBoxScore
153816Phantoms2Wranglers4LR1BoxScore
156832Wolfpack2Phantoms3WBoxScore
158838Phantoms2Crunch3LBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
162858Americans4Phantoms8WBoxScore
167883Reign2Phantoms1LR1BoxScore
170899Phantoms5Senators3WBoxScore
171908Reign8Phantoms1LR1BoxScore
176934Rocket4Phantoms5WXBoxScore
177939Phantoms4Condors3WXBoxScore
181957Silver Knights2Phantoms3WBoxScore
184979Phantoms3Crunch5LBoxScore
185986Senators4Phantoms8WBoxScore
1911010Marlies5Phantoms3LBoxScore
1981031Marlies3Phantoms6WBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price7040
Attendance74,33237,320
Attendance PCT92.92%93.30%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
0 2791 - 93.04% 175,771$7,030,843$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches Salaries
2,287,420$ 2,270,000$ 2,152,500$ 0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
11,045$ 1,785,938$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 13,781$ 13,781$




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