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Devils
GP: 82 | W: 33 | L: 36 | OTL: 13 | P: 79
GF: 245 | GA: 288 | PP%: 12.23% | PK%: 79.42%
GM : Frédéric Ferland Bolduc | Morale : 12 | Team Overall : 66

Game Center
Penguins
44-31-7, 95pts
4
2 Devils
33-36-13, 79pts
Team Stats
SOL1StreakW1
25-13-3Home Record19-16-6
19-18-4Home Record14-20-7
7-2-1Last 10 Games4-4-2
3.13Goals Per Game2.99
2.91Goals Against Per Game3.51
19.41%Power Play Percentage12.23%
84.24%Penalty Kill Percentage79.42%
Red Wings
40-33-9, 89pts
2
3 Devils
33-36-13, 79pts
Team Stats
L2StreakW1
21-16-4Home Record19-16-6
19-17-5Home Record14-20-7
4-5-1Last 10 Games4-4-2
3.32Goals Per Game2.99
3.46Goals Against Per Game3.51
16.52%Power Play Percentage12.23%
80.43%Penalty Kill Percentage79.42%
Team Leaders
Goals
Connor McMichael
32
Assists
Ty Dellandrea
48
Points
Ty Dellandrea
76
Plus/Minus
Bowen Byram
9
Wins
Jon Gillies
25
Save Percentage
Jon Gillies
0.893

Team Stats
Goals For
245
2.99 GFG
Shots For
2607
31.79 Avg
Power Play Percentage
12.2%
28 GF
Offensive Zone Start
37.6%
Goals Against
288
3.51 GAA
Shots Against
2573
31.38 Avg
Penalty Kill Percentage
79.4%%
50 GA
Defensive Zone Start
38.7%
Team Info

General ManagerFrédéric Ferland Bolduc
CoachJohn Hynes
DivisionMétropolitaine
ConferenceEst
Captain
Assistant #1
Assistant #2


Arena Info

Capacity3,000
Attendance2,892
Season Tickets2,400


Roster Info

Pro Team41
Farm Team18
Contract Limit59 / 68
Prospects41


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
1Miles Wood (R)X100.0086675775748488914896927670868243477903014,000,000$
2Ty Dellandrea (R)X100.0079567087757780877886777625876944387602521,500,000$
3Connor McMichael (R)X100.006955719076878588668083732588715938760252900,000$
4Conor Garland (R)X100.0077597188687885894482807175897758507503012,000,000$
5Fabian Zetterlund (R)X100.0079409379858683865577797525826654337402632,000,000$
6Jonny Brodzinski (R)X100.006640887581828474726773682575847229690321575,000$
7Jaret Anderson-Dolan (R)X100.006437867475757667506463712581795626660263600,000$
8Alex Belzile (R)X100.006051857374807070706765662582714131660343600,000$
9Adam Ruzicka (R)X100.005637947183777668736562702572665020650272600,000$
10Colton Dach (R)X100.008145807686826567556463672570534926650233825,000$
11Carter RowneyX100.006939996376536752776758752599995328630373575,000$
12Darren Archibald (R)X100.005977636377405661375754745176751419590361575,000$
13Bowen Byram (R)X100.0068407283849285844081728325807159227602421,500,000$
14Troy Stecher (R)X100.0059249768726488903094799255918525297503222,000,000$
15Erik Brannstrom (R)X100.0079576585707585884085778025837851367502632,500,000$
16Kaiden Guhle (R)X100.008268618481857478407771872580614417752241863,333$
17Mike Reilly (R)X100.0066427473757080764080767425968843427203211,250,000$
18Carl Dahlstrom (R)X100.008482915982476856305944864673734324650313600,000$
Scratches
1Ryan Lomberg (R)X98.6393755576697986735368727325878460197003131,250,000$
2Matthew Stienburg (R)X100.006563687477736065406060622566514920610253898,750$
3Zack Mitchell (R)X100.003517996775369256435453795188732319600331575,000$
4Tanner Kero (R)X100.005018997072477851825248796693875016600333575,000$
5Ryan MacInnis (R)X100.005121997273617344705652652580775319590301575,000$
6Patrick Russell (R)X100.00443996375597656475754626689812219590331575,000$
7Tyce Thompson (R)X100.005450686671636362426153522564554619572261762,500$
8Jacob Perreault (R)X100.005756846673536647633333624653534919500243575,000$
9Nikita Tryamkin (R)X100.009675445985617756255045795577776219660312700,000$
10Colton White (R)X100.005329987574788066406257692576785119660292600,000$
11David Jiricek (R)X100.006243757177736768406760682568574819642221950,000$
12Cameron Gaunce (R)X100.003522996477707348305041675396863920610361575,000$
13Roland McKeown (R)X100.005433737073636756405248682569614420600301575,000$
14Cameron Crotty (R)X100.006243696572666562405553632563564720602272775,000$
15Yan Kuznetsov (R)X100.006743686477626161405555642563534719602242870,000$
16Santeri Hatakka (R)X100.005943677068626059405753652564544720592252850,833$
17Mac Hollowell (R)X100.005440707065605857405850622561544819582271750,000$
18Maveric Lamoureux (R)X100.006444646369626060405653622559505019580223886,667$
19Mason Geertsen (R)X100.006879426279606350252929584751514620540313575,000$
TEAM AVERAGE99.95654677727668746748646071357770472565
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
1Jon Gillies (R)100.007775798480999999987551938445528503222,000,000$
2Akira Schmid (R)100.00817575848090889191783083644556812261850,833$
Scratches
1Leevi Merilainen (R)100.00837473797686878888774074605320780233820,000$
2Erik Portillo (R)100.00696363746973757273724060525020680253783,333$
TEAM AVERAGE100.0078727380768787888876407865483778
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Hynes9588778069641USA503800,000$


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
1Ty DellandreaDevils (NJ )C76284876-5123251671752737714210.26%34147419.404481615212341085157.20%15006723101.0313311764
2Connor McMichaelDevils (NJ )C79324375-797451461742427013513.22%35161920.50513182619310161712149.75%18214222110.9314225362
3Conor GarlandDevils (NJ )RW78313970177651661162357414213.19%26153919.7474112920710151175343.36%1136430010.9114337444
4Miles WoodDevils (NJ )LW82274370-12157752041512367416611.44%30169820.71310132421002251970143.19%4334630000.8224546322
5Fabian ZetterlundDevils (NJ )RW68252954-1322077822185513611.47%21121317.85235231390000155235.11%943422000.8902121271
6Jonny BrodzinskiDevils (NJ )LW82162036-2801259017363949.25%38127415.540113780001442056.18%892723000.5700000133
7Bowen ByramDevils (NJ )D7743236953511414213448732.99%87177022.9923591970115190020%03160000.4100001004
8Mike ReillyDevils (NJ )D8232427-11611510911111537362.61%85151618.49022680101178000%02648000.3601102000
9Jaret Anderson-DolanDevils (NJ )LW82131427-3805274117305611.11%2682410.050001130000103043.40%531617000.6600000200
10Alex BelzileDevils (NJ )RW82131326-220697113435789.70%24109013.290003320000313143.33%601422000.4800000204
11Troy StecherDevils (NJ )D6761824-7005111411143475.41%81155123.16325121660003177200%02949000.3101000011
12Kaiden GuhleDevils (NJ )D8022123-91174517414811250511.79%99166120.7612391540110130000%03856000.2800342000
13Ryan LombergDevils (NJ )LW491111221110601345962183417.74%1784517.260111102000102036.00%501218000.5200264410
14Erik BrannstromDevils (NJ )D5551621-11833510510012442364.03%73127823.2403391560002129100%03539000.3300241111
15Colton DachDevils (NJ )C759716-260966387153410.34%146969.290000180000121244.66%3651912000.4600000012
16Adam RuzickaDevils (NJ )C6610515-200459477183212.99%1682212.460001131014580152.16%602717000.3600000021
17Colton WhiteDevils (NJ )D561121310025692721123.70%5789916.0610117000140000%0426000.2900000001
18Carter RowneyDevils (NJ )RW82336-100053533517208.57%196988.5200005000070055.56%18313000.1711000000
19Darren ArchibaldDevils (NJ )LW33325-61953322142621.43%92738.2700000011029100%615000.3700001000
20Carl DahlstromDevils (NJ )D610440503068653815160%6398516.16000016000042000%0335000.0801321000
21Tanner Kero Devils (NJ )RW18123-40011113417.69%21277.0800000000000066.67%602000.4700000000
22Matthew Stienburg Devils (NJ )C31123-5401515239104.35%22307.4400000000000039.08%8761000.2600000010
23Ryan MacInnisDevils (NJ )C1011100100000%055.50000000000000100.00%100003.6400000000
24Nikita TryamkinDevils (NJ )D9000-224103184320%1614215.860001200005000%01700000101000
25David JiricekDevils (NJ )D5000-320353120%58617.320000000007000%02300000000000
Team Total or Average1476244409653-91103343520642012260782113619.36%8792432516.4828487617419525712381609321450.51%5298527580220.54621262833293530
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
1Jon GilliesDevils (NJ )60252180.8933.303223201771652645110.667125626412
2Akira SchmidDevils (NJ )3381550.8863.63173800105918391020.55692656030
Team Total or Average933336130.8903.414962202822570103613218282442


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 ByLast Trade DateForce Waivers Waiver Possible Contract Contract Signature DateForce 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
Adam RuzickaDevils (NJ )C271999-05-11SVKYes215 Lbs6 ft4NoNoN/ANoNo22024-09-07FalseFalsePro & Farm600,000$3,061$0$0$No600,000$-----------------No--------
Akira SchmidDevils (NJ )G262000-05-12SUIYes205 Lbs6 ft5NoNoTrade2024-03-02NoNo1FalseFalsePro & Farm850,833$4,341$0$0$No---------------------------
Alex BelzileDevils (NJ )RW341991-08-31CANYes196 Lbs6 ft0NoNoFree AgentNoNo32025-09-14FalseFalsePro & Farm600,000$3,061$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Bowen ByramDevils (NJ )D242001-06-13CANYes205 Lbs6 ft1NoNoN/ANoNo22024-09-07FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Cameron CrottyDevils (NJ )D271999-05-05CANYes211 Lbs6 ft3NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm775,000$3,954$0$0$No775,000$--------775,000$--------No--------
Cameron GaunceDevils (NJ )D361990-03-19CANYes204 Lbs6 ft2NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Carl DahlstromDevils (NJ )D311995-01-28SWEYes231 Lbs6 ft4NoNoN/ANoNo32025-08-08FalseFalsePro & Farm600,000$3,061$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Carter RowneyDevils (NJ )RW371989-05-10CANNo206 Lbs6 ft2NoNoFree Agent2024-10-06NoNo32025-09-14FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Colton DachDevils (NJ )C232003-01-04CANYes196 Lbs6 ft4NoNoAssign ManuallyNoNo32025-09-03FalseFalsePro & Farm825,000$4,209$0$0$No825,000$825,000$-------825,000$825,000$-------NoNo-------
Colton WhiteDevils (NJ )D291997-05-03CANYes187 Lbs6 ft1NoNoN/ANoNo22024-09-07FalseFalsePro & Farm600,000$3,061$0$0$No600,000$-----------------No--------
Connor McMichaelDevils (NJ )C252001-01-15CANYes180 Lbs6 ft0NoNoN/ANoNo22024-09-07FalseFalsePro & Farm900,000$4,592$0$0$No900,000$-----------------No--------
Conor GarlandDevils (NJ )RW301996-03-11USAYes165 Lbs5 ft10NoNoN/ANoNo12025-08-08FalseFalsePro & Farm2,000,000$10,204$0$0$No---------------------------
Darren ArchibaldDevils (NJ )LW361990-02-09CANYes210 Lbs6 ft3NoNoTrade2025-01-24NoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
David JiricekDevils (NJ )D222003-11-28CZEYes207 Lbs6 ft4NoNoN/ANoNo1FalseFalsePro & Farm950,000$4,847$0$0$No---------------------------
Erik BrannstromDevils (NJ )D261999-09-02SWEYes185 Lbs5 ft10NoNoN/ANoNo32025-08-08FalseFalsePro & Farm2,500,000$12,755$0$0$No2,500,000$2,500,000$-------2,500,000$2,500,000$-------NoNo-------
Erik PortilloDevils (NJ )G252000-09-03SWEYes218 Lbs6 ft6NoNoAssign ManuallyNoNo32025-09-03FalseFalsePro & Farm783,333$3,997$0$0$No783,333$783,333$-------783,333$783,333$-------NoNo-------
Fabian ZetterlundDevils (NJ )RW261999-08-25SWEYes220 Lbs5 ft11NoNoN/ANoNo32025-08-08FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------
Jacob PerreaultDevils (NJ )C242002-04-15CANYes192 Lbs5 ft11NoNoN/ANoNo32025-08-08FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Jaret Anderson-DolanDevils (NJ )LW261999-09-12CANYes200 Lbs5 ft11NoNoN/ANoNo32025-08-08FalseFalsePro & Farm600,000$3,061$0$0$No600,000$600,000$-------600,000$600,000$-------NoNo-------
Jon GilliesDevils (NJ )G321994-01-22USAYes223 Lbs6 ft6NoNoN/ANoNo22024-09-07FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$-----------------No--------
Jonny BrodzinskiDevils (NJ )LW321993-06-19USAYes211 Lbs6 ft0NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Kaiden GuhleDevils (NJ )D242002-01-18CANYes201 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm863,333$4,405$0$0$No---------------------------
Leevi Merilainen Devils (NJ )G232002-08-13FINYes186 Lbs6 ft3NoNoAssign ManuallyNoNo32025-09-03FalseFalsePro & Farm820,000$4,184$0$0$No820,000$820,000$-------820,000$820,000$-------NoNo-------
Mac HollowellDevils (NJ )D271998-09-26CANYes170 Lbs5 ft9NoNoN/ANoNo1FalseFalsePro & Farm750,000$3,827$0$0$No---------------------------
Mason GeertsenDevils (NJ )D311995-04-19CANYes216 Lbs6 ft4NoNoN/ANoNo32025-08-08FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Matthew Stienburg Devils (NJ )C252000-10-07CANYes182 Lbs6 ft1NoNoAssign ManuallyNoNo32025-09-03FalseFalsePro & Farm898,750$4,585$0$0$No898,750$898,750$-------898,750$898,750$-------NoNo-------
Maveric Lamoureux Devils (NJ )D222004-01-13CANYes198 Lbs6 ft7NoNoAssign ManuallyNoNo32025-09-03FalseFalsePro & Farm886,667$4,524$0$0$No886,667$886,667$-------886,667$886,667$-------NoNo-------
Mike ReillyDevils (NJ )D321993-07-13USAYes196 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm1,250,000$6,378$0$0$No---------------------------
Miles WoodDevils (NJ )LW301995-09-13USAYes195 Lbs6 ft2NoNoN/ANoNo12025-08-08FalseFalsePro & Farm4,000,000$20,408$0$0$No---------------------------
Nikita TryamkinDevils (NJ )D311994-08-30RUSYes243 Lbs6 ft8NoNoN/ANoNo22024-09-07FalseFalsePro & Farm700,000$3,571$0$0$No700,000$-----------------No--------
Patrick RussellDevils (NJ )RW331993-01-04DENYes203 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Roland McKeownDevils (NJ )D301996-01-20CANYes194 Lbs6 ft1NoNoN/ANoNo12025-08-08FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Ryan LombergDevils (NJ )LW311994-12-09CANYes184 Lbs5 ft9NoNoN/ANoNo32025-08-08FalseFalsePro & Farm1,250,000$6,378$0$0$No1,250,000$1,250,000$-------1,250,000$1,250,000$-------NoNo-------
Ryan MacInnisDevils (NJ )C301996-02-14USAYes185 Lbs6 ft3NoNoN/ANoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Santeri HatakkaDevils (NJ )D252001-01-15FINYes190 Lbs6 ft0NoNoAssign ManuallyNoNo22024-08-26FalseFalsePro & Farm850,833$4,341$0$0$No850,833$--------850,833$--------No--------
Tanner Kero Devils (NJ )RW331992-07-24USAYes181 Lbs6 ft0NoNoFree Agent2024-12-22NoNo32025-09-19FalseFalsePro & Farm575,000$2,934$0$0$No575,000$575,000$-------575,000$575,000$-------NoNo-------
Troy StecherDevils (NJ )D321994-04-07CANYes186 Lbs5 ft10NoNoN/ANoNo22024-09-07FalseFalsePro & Farm2,000,000$10,204$0$0$No2,000,000$-----------------No--------
Ty DellandreaDevils (NJ )C252000-07-21CANYes190 Lbs6 ft2NoNoN/ANoNo22024-09-07FalseFalsePro & Farm1,500,000$7,653$0$0$No1,500,000$-----------------No--------
Tyce ThompsonDevils (NJ )RW261999-07-12USAYes174 Lbs6 ft1NoNoN/ANoNo1FalseFalsePro & Farm762,500$3,890$0$0$No---------------------------
Yan KuznetsovDevils (NJ )D242002-03-09RUSYes220 Lbs6 ft5NoNoAssign ManuallyNoNo22024-08-17FalseFalsePro & Farm870,000$4,439$0$0$No870,000$--------870,000$--------No--------
Zack MitchellDevils (NJ )RW331993-01-07CANYes196 Lbs6 ft1NoNoTrade2024-12-22NoNo1FalseFalsePro & Farm575,000$2,934$0$0$No---------------------------
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
4128.41199 Lbs6 ft22.001,019,787$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodConnor McMichaelConor Garland35122
2Jonny BrodzinskiTy DellandreaFabian Zetterlund35122
3Jaret Anderson-DolanAdam RuzickaAlex Belzile25122
4Darren ArchibaldColton DachCarter Rowney5122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramTroy Stecher35122
2Erik BrannstromKaiden Guhle35122
3Mike ReillyCarl Dahlstrom30122
4Bowen ByramTroy Stecher0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Miles WoodConnor McMichaelConor Garland60122
2Jonny BrodzinskiTy DellandreaFabian Zetterlund40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramTroy Stecher60122
2Erik BrannstromKaiden Guhle40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Miles WoodConnor McMichael60122
2Ty DellandreaConor Garland40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramTroy Stecher60122
2Erik BrannstromKaiden Guhle40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Miles Wood60122Bowen ByramTroy Stecher60122
2Connor McMichael40122Erik BrannstromKaiden Guhle40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Miles WoodConnor McMichael60122
2Ty DellandreaConor Garland40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Bowen ByramTroy Stecher60122
2Erik BrannstromKaiden Guhle40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Miles WoodConnor McMichaelConor GarlandBowen ByramTroy Stecher
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Miles WoodConnor McMichaelConor GarlandBowen ByramTroy Stecher
Extra Forwards
Normal PowerPlayPenalty Kill
Jaret Anderson-Dolan, Alex Belzile, Adam RuzickaJaret Anderson-Dolan, Alex BelzileAdam Ruzicka
Extra Defensemen
Normal PowerPlayPenalty Kill
Mike Reilly, Carl Dahlstrom, Erik BrannstromMike ReillyCarl Dahlstrom, Erik Brannstrom
Penalty Shots
Miles Wood, Connor McMichael, Ty Dellandrea, Conor Garland, Fabian Zetterlund
Goalie
#1 : Jon Gillies, #2 : Akira Schmid
Custom OT Lines Forwards
Miles Wood, Connor McMichael, Ty Dellandrea, Conor Garland, Fabian Zetterlund, Jonny Brodzinski, Jaret Anderson-Dolan, Alex Belzile, Adam Ruzicka, Colton Dach
Custom OT Lines Defensemen
Bowen Byram, Troy Stecher, Erik Brannstrom, Kaiden Guhle, Mike Reilly


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
OverallHome Visitor
# 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 RI
1Avalanche31100100810-22110000045-11000010045-130.5008142210668291119784091383540932515645120.00%5260.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
2Blackhawks22000000752110000003211100000043141.000712190066829111638409138354071214422150.00%2150.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
3Blues2010010036-31000010023-11010000013-210.2503580066829111688409138354060211547400.00%50100.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
4Bruins411000021116-52010000127-52100000199040.500112031006682911112284091383540136445512711218.18%15473.33%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R2
5Canadiens4310000016106220000008442110000086260.75016274300668291111368409138354013357569115320.00%130100.00%11006197750.89%1026203250.49%644124651.69%1795106117607261411707R2
6Canucks2020000058-31010000034-11010000024-200.000591400668291117184091383540672922344125.00%60100.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
7Capitals713021002023-330102000880412001001215-370.500203454106682911122584091383540208611141702813.57%32778.13%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R5
8Ducks21000100871110000005321000010034-130.75081220006682911160840913835407322840100.00%40100.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
9Flames201000107701010000034-11000001043120.50071017006682911164840913835406017851400.00%40100.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
10Flyers615000001630-1431200000611-5303000001019-920.167162844006682911119084091383540211608219218211.11%20765.00%11006197750.89%1026203250.49%644124651.69%1795106117607261411707R5
11Islanders7330010029272421001002015531200000912-370.500294978106682911120984091383540224931581953139.68%24387.50%21006197750.89%1026203250.49%644124651.69%1795106117607261411707R5
12Kings20200000512-71010000035-21010000027-500.0005712006682911163840913835406311124111100.00%6266.67%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
13Maple Leafs422000001213-1211000006602110000067-140.50012193100668291111358409138354013738629611327.27%11281.82%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R2
14Oilers200011005501000010023-11000100032130.75058130066829111468409138354048172250500.00%6266.67%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
15Penguins633000001619-33210000088031200000811-360.5001626420066829111184840913835401876612913723313.04%271062.96%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R5
16Predators2010000147-31010000024-21000000123-110.250471100668291116584091383540572715432150.00%50100.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
17Rangers613002001721-4311001001110130200100611-540.33317284500668291112018409138354016766851732200.00%20575.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R5
18Red Wings4110110013130210001008802010100055050.62513223500668291111378409138354011645361128112.50%13192.31%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R2
19Sabres5410000021174220000001055321000001112-180.800213657006682911117484091383540144525613313215.38%13192.31%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
20Senateurs41200100510-52020000027-52100010033030.37558130066829111113840913835401325441901100.00%7185.71%01006197750.89%1026203250.49%644124651.69%1795106117607261411707R2
21Sharks20200000412-81010000036-31010000016-500.00047110066829111608409138354067142944000%2150.00%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
22Stars21001000853100010004311100000042241.0008132100668291115884091383540661511445360.00%3166.67%11006197750.89%1026203250.49%644124651.69%1795106117607261411707
23Wild21100000550110000003211010000023-120.5005813006682911166840913835405324048500.00%000%01006197750.89%1026203250.49%644124651.69%1795106117607261411707
Total822736051013245288-4341161603501126133-741112002512119155-36790.48224540965430668291112607840913835402573879103520642292812.23%2435079.42%51006197750.89%1026203250.49%644124651.69%1795106117607261411707
_Since Last GM Reset822736051013245288-4341161603501126133-741112002512119155-36790.48224540965430668291112607840913835402573879103520642292812.23%2435079.42%51006197750.89%1026203250.49%644124651.69%1795106117607261411707
_Vs Conference57212503602176199-232812100230189890299150130187110-23560.4911762974732066829111182684091383540179563687415161912010.47%1954178.97%41006197750.89%1026203250.49%644124651.69%1795106117607261411707
_Vs Division329170240098120-221666022005352116311002004568-23260.40698165263206682911110098409138354099734656886712297.38%1233273.98%31006197750.89%1026203250.49%644124651.69%1795106117607261411707

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
8279W1245409654260725738791035206430
All Games
GPWLOTWOTL SOWSOLGFGA
82273651013245288
Home Games
GPWLOTWOTL SOWSOLGFGA
4116163501126133
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4111202512119155
Last 10 Games
WLOTWOTL SOWSOL
440101
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
2292812.23%2435079.42%5
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
8409138354066829111
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1006197750.89%1026203250.49%644124651.69%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
1795106117607261411707


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
311Islanders3Devils9WR5Box score
520Devils3Capitals5LR5Box score
729Penguins2Devils3WR5Box score
941Devils4Sabres3WBox score
1256Islanders4Devils6WR5Box score
1363Devils1Flyers5LBox score
1675Devils4Capitals6LR5Box score
1885Capitals3Devils4WXBox score
2098Devils6Canadiens3WR2Box score
23109Devils2Penguins5LBox score
25117Flyers3Devils4WR5Box score
27127Devils3Rangers4LXBox score
28137Devils1Islanders5LR5Box score
30144Rangers2Devils6WBox score
33161Devils5Flyers6LR5Box score
34167Bruins2Devils1LXXR2Box score
37183Devils1Rangers3LBox score
39190Sabres2Devils4WR2Box score
41204Devils5Islanders3WBox score
43213Devils4Flames3WXXBox score
44218Senateurs2Devils1LR2Box score
47233Devils1Sharks6LBox score
48240Senateurs5Devils1LR2Box score
51255Devils2Rangers4LBox score
54263Predators4Devils2LBox score
56278Devils2Predators3LXXBox score
59288Islanders3Devils2LXR5Box score
60301Devils3Islanders4LBox score
63312Oilers3Devils2LXBox score
65331Devils3Capitals1WR5Box score
66335Blues3Devils2LXBox score
70358Maple Leafs3Devils4WR2Box score
74374Devils5Sabres3WBox score
76381Sabres3Devils6WR2Box score
78392Devils4Flyers8LBox score
80401Devils2Senateurs1WR2Box score
81408Ducks3Devils5WBox score
84428Devils2Kings7LBox score
85432Avalanche4Devils2LBox score
88445Devils2Sabres6LR2Box score
90455Flyers6Devils1LBox score
92462Devils4Penguins1WR5Box score
94471Devils4Stars2WBox score
96480Maple Leafs3Devils2LR2Box score
98491Devils2Canucks4LBox score
100498Devils4Blackhawks3WBox score
101504Canucks4Devils3LBox score
104524Devils2Capitals3LXR5Box score
105528Canadiens3Devils5WR2Box score
107546Devils2Wild3LBox score
108552Flyers2Devils1LR5Box score
112575Canadiens1Devils3WR2Box score
115590Devils1Blues3LBox score
117600Rangers5Devils3LR5Box score
120611Devils3Oilers2WXBox score
122623Rangers3Devils2LXR5Box score
124631Devils2Red Wings3LR2Box score
127648Blackhawks2Devils3WBox score
129662Devils4Maple Leafs2WR2Box score
131672Red Wings6Devils5LXR2Box score
132679Devils2Maple Leafs5LBox score
135693Devils1Senateurs2LXR2Box score
136696Bruins5Devils1LBox score
139709Devils3Ducks4LXBox score
141720Flames4Devils3LBox score
144734Devils3Bruins2WR2Box score
146744Avalanche1Devils2WBox score
148755Devils3Red Wings2WXR2Box score
150768Sharks6Devils3LBox score
Trade Deadline --- Trades can’t be done after this day is simulated!
154790Islanders5Devils3LR5Box score
159815Capitals2Devils3WXR5Box score
162835Kings5Devils3LBox score
163841Devils2Canadiens3LR2Box score
167860Devils6Bruins7LXXBox score
168864Stars3Devils4WXBox score
172885Capitals3Devils1LR5Box score
174896Devils2Penguins5LR5Box score
177910Wild2Devils3WBox score
181931Penguins2Devils3WR5Box score
184939Devils4Avalanche5LXBox score
186957Penguins4Devils2LR5Box score
193981Red Wings2Devils3WR2Box score



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2
Capacity20001000
Ticket Price3525
Attendance79,43839,143
Attendance PCT96.88%95.47%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 2892 - 96.41% 123,769$5,074,517$3000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches Salaries
4,790,293$ 4,181,124$ 4,181,124$ 800,000$0$
Salary Cap Per DaysSalary Cap To DatePlayers In Salary CapPlayers Out of Salary Cap
0$ 3,994,353$ 0 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 1 25,414$ 25,414$




Devils 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

Devils Goalies Stat Leaders (Regular Season)

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

Devils 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

Devils 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

Devils Goalies Stat Leaders (Play-Off)

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