Dallas
GP: 33 | W: 15 | L: 15 | OTL: 3 | P: 33
GF: 72 | GA: 82 | PP%: 16.38% | PK%: 87.02%
GM : Miguel | Morale : 50 | Team Overall : 73
Next Games #563 vs Minnesota
Your browser screen resolution is too small for this page. Some information are hidden to keep the page readable.

Game Center
NY Rangers
17-15-2, 36pts		0
FINAL
 2 Dallas
15-15-3, 33pts
Team Stats
L1StreakW3
11-5-1Home Record10-6-2
6-10-1Away Record5-9-1
4-5-1Last 10 Games4-5-1
2.59Goals Per Game2.18
2.59Goals Against Per Game2.48
18.37%Power Play Percentage16.38%
83.70%Penalty Kill Percentage87.02%
Dallas
15-15-3, 33pts		3
FINAL
 1 Utah
22-9-3, 47pts
Team Stats
W3StreakL1
10-6-2Home Record9-4-2
5-9-1Away Record13-5-1
4-5-1Last 10 Games8-1-1
2.18Goals Per Game3.18
2.48Goals Against Per Game2.09
16.38%Power Play Percentage16.92%
87.02%Penalty Kill Percentage83.33%
Minnesota
22-7-6, 50pts
Day 54
 Dallas
15-15-3, 33pts
Team Stats
W2StreakW3
10-3-4Home Record10-6-2
12-4-2Away Record5-9-1
7-0-3Last 10 Games4-5-1
3.03Goals Per Game2.18
2.66Goals Against Per Game2.18
16.41%Power Play Percentage16.38%
85.71%Penalty Kill Percentage87.02%
Dallas
15-15-3, 33pts
Day 55
 Chicago
10-21-4, 24pts
Team Stats
W3StreakL2
10-6-2Home Record4-8-3
5-9-1Away Record6-13-1
4-5-1Last 10 Games3-6-1
2.18Goals Per Game2.03
2.48Goals Against Per Game2.03
16.38%Power Play Percentage21.43%
87.02%Penalty Kill Percentage75.00%
Buffalo
17-16-2, 36pts
Day 57
 Dallas
15-15-3, 33pts
Team Stats
L2StreakW3
10-7-2Home Record10-6-2
7-9-0Away Record5-9-1
3-6-1Last 10 Games4-5-1
2.69Goals Per Game2.18
2.94Goals Against Per Game2.18
12.40%Power Play Percentage16.38%
85.33%Penalty Kill Percentage87.02%
Team Leaders
Joel FarabeeGoals
Joel Farabee
11		 Miro HeiskanenAssists
Miro Heiskanen
21
Miro HeiskanenPoints
Miro Heiskanen
23		 Ilya LyubushkinPlus/Minus
Ilya Lyubushkin
4
Jake OettingerWins
Jake Oettinger
12		 Jake OettingerSave Percentage
Jake Oettinger
0.917

Team Stats
Goals For
72
2.18 GFG		 Shots For
726
22.00 Avg		 Power Play Percentage
16.4%
19 GF		 Offensive Zone Start
38.8%
Goals Against
82
2.48 GAA		 Shots Against
841
25.48 Avg		 Penalty Kill Percentage
87.0%%
17 GA		 Defensive Zone Start
41.9%
Team Info

General ManagerMiguel
DivisionCentral
ConferenceWestern
CaptainJamie Benn
Assistant #1
Assistant #2


Arena Info

NameAmerican Airline Center
Capacity17,000
Attendance16,587
Season Tickets3,400


Roster Info

Pro Team21
Farm Team4
Contract Limit25 / 50
Prospects31


Salary Cap

Estimated Season Salary Cap60,990,856$
Available Salary Cap4,009,144$
Special Salary Cap Value0$
Players In Salary Cap21


Finance

Year to Date Revenue22,204,848$
Year To Date Expenses26,729,803$
Estimated Season Revenue28,372,861$
Estimated Season Expenses34,261,053$
Current Bank Account8,477,543$
Projected Bank Account2,387,457$


Team History

This Season15-15-3 (33PTS)
History78-100-18 (0.398%)
Playoff Appearances2
Playoff Record (W-L)0-0
Stanley Cup0


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
1Jason RobertsonX98.006436927773759986548778727952540508122434,500,000$
2Matt DucheneX96.0059349284737297856282746073997805081N23335,000,000$
3Tyler SeguinX98.0061378880727186836276796862988105080N23216,500,000$
4Jamie Benn (C)X99.0071448369736899786681706965998405079N13425,200,000$
5Joel FarabeeX100.006339867467709977497271686155560507512444,000,000$
6Evgenii DadonovX99.0061349367676471704860676059696105069N03514,000,000$
7Logan Stankoven (R)X99.00583686746067477552706655573542053680213814,167$
8Joel KivirantaX99.007443897366587558444640664548520506402811,000,000$
9Denis GurianovX100.005742747974624165475151575153530506302712,000,000$
10Riley TufteX100.00716149728260306446495554533445050610262900,000$
11Givani SmithX100.008881277175545755434337624443500506002671,300,000$
12Miro HeiskanenX99.006136899071808979518753765261550507912435,000,000$
13Esa LindellX100.006635967776729971496543864773670507813014,000,000$
14Thomas Harley (R)X100.00653694767573967048766274554147050751221863,333$
15Ryan SuterX100.0065389074716999634658357343998205074N03913,600,000$
16Jani HakanpaaX100.00824886668168836346533586435256050730321900,000$
17Matt DumbaX100.007753717766709360454640734578690507202944,000,000$
18Ilya LyubushkinX100.008152777072659260454630794057570507003052,200,000$
Scratches
1Roope HintzX100.005834918975729787627879746059600508122722,000,000$
Farm Team
1Mavrik Bourque (R)X100.00564861736660266836595748543339056600222894,167$
2Joel HanleyX100.00654575726659635644443368424649050630332700,000$
3Alexander PetrovicX100.00746937697757265744483770445150050610321775,000$
TEAM AVERAGE99.4167457875726776705063546853615905071
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
1Jake Oettinger98.00738282816775767876727044500507812532,000,000$
2Scott Wedgewood100.0065696972626564656563593835050680311800,000$
Scratches
Farm Team
1Justus Annunen (R)100.00665858766164646665645527280506602441,200,000$
TEAM AVERAGE99.336870707663686870696661363805071
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary


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
1Miro HeiskanenDallasD3322123110023473210176.25%3880324.34246231030110109100%000000.5700000230
2Joel FarabeeDallasLW331111220135213289266212.36%557917.5553819921013161054.17%2400000.7611001022
3Tyler SeguinDallasC33111021-380248598228211.22%665319.8035823870114811155.71%64800000.6403000211
4Thomas HarleyDallasD3331518-11802932438276.98%4166520.1816725860001101300%000000.5400000002
5Jason RobertsonDallasLW2910717-4135284380276412.50%358820.2833620900001922149.19%12400000.5814001410
6Roope HintzDallasC309716040165189286010.11%360720.27145139100051081053.01%61500000.5325000102
7Jamie BennDallasC337512-3120286157155312.28%253416.210113230002361060.87%50600000.4512000030
8Ryan SuterDallasD331910-12202923198125.26%4365819.961341285000099000%000000.3000000001
9Ilya LyubushkinDallasD33268410022471128.57%102036.1810115000014100%000000.7800000100
10Jani HakanpaaDallasD33167-122404243167126.25%1750515.3100021000005000%000000.2800000001
11Matt DumbaDallasD33167-126353923199135.26%2751015.4800000000032000%000000.2700001000
12Esa LindellDallasD33167-524026311810135.56%4064119.44112101060000107000%000000.2200000001
13Denis GurianovDallasRW33336-34019143072410.00%152715.98112142000080039.47%3800000.2300000010
14Matt DucheneDallasRW25336-70016345113325.88%457823.130118750000901054.40%19300000.2105000010
15Joel KivirantaDallasLW33134-42003417236174.35%450115.190000100000170044.74%3800000.1600000100
16Evgenii DadonovDallasRW22202-5601171971310.53%036916.80000157000000056.00%2500100.1100000001
17Givani SmithDallasRW26022-144103675250%027910.7601109000000020.00%1000000.1400110000
18Logan StankovenDallasC28022-340517197150%02207.87000111000040050.25%19900000.1800000000
19Riley TufteDallasLW33112-7160336102810.00%02437.37011010000130054.55%2200000.1600000100
20Mavrik BourqueFarm Team 17 (DAL)RW5000000532100%15010.1100001000000014.29%140000000000000
Team Total or Average59469123192-66315254865807262165309.50%245972316.371934531629931231694112254.40%245600100.39520113121211
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
1Jake OettingerDallas29121130.9172.06166101576840100.81021267331
2Scott WedgewoodDallas73400.8544.00345002315700000726000
Team Total or Average36151530.9052.3920070180841010213333331


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 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
Denis Gurianov (1 Way Contract)DallasRW271997-06-07RUSNo205 Lbs6 ft3NoNoN/AYesYes12024-07-13FalseFalsePro & Farm2,000,000$2,000,000$1,131,148$No---------------------------Link / NHL Link
Esa Lindell (1 Way Contract)DallasD301994-05-23FINNo216 Lbs6 ft3NoNoN/AYesYes12024-07-13FalseFalsePro & Farm4,000,000$4,000,000$2,262,295$No---------------------------NHL Link
Evgenii Dadonov (1 Way Contract)DallasRW351989-03-12RUSNo185 Lbs6 ft0YesNoN/AYesYes12024-07-13FalseFalsePro & Farm4,000,000$4,000,000$2,262,295$No---------------------------Link / NHL Link
Givani SmithDallasRW261998-02-27CANNo214 Lbs6 ft2NoNoN/AYesYes72024-07-31FalseFalsePro & Farm1,300,000$1,300,000$735,246$No1,300,000$1,300,000$1,300,000$1,300,000$1,300,000$1,300,000$------------NoNoNoNoNoNo---Link / NHL Link
Ilya Lyubushkin (1 Way Contract)DallasD301994-04-06RUSNo200 Lbs6 ft2NoNoTrade2024-07-16YesYes52024-07-31FalseFalsePro & Farm2,200,000$2,200,000$1,244,262$No2,200,000$2,200,000$2,200,000$2,200,000$--------------NoNoNoNo-----NHL Link
Jake Oettinger (1 Way Contract)DallasG251998-12-18USANo224 Lbs6 ft6NoNoN/AYesYes32024-07-13FalseFalsePro & Farm2,000,000$2,000,000$1,131,148$No2,000,000$2,000,000$-------2,000,000$2,000,000$-------NoNo-------Link / NHL Link
Jamie Benn (1 Way Contract)DallasC341989-07-18CANNo205 Lbs6 ft2YesNoN/AYesYes22024-07-13FalseFalsePro & Farm5,200,000$5,200,000$2,940,984$No5,200,000$--------5,200,000$--------Yes--------NHL Link
Jani Hakanpaa (1 Way Contract)DallasD321992-03-31FINNo222 Lbs6 ft7NoNoN/AYesYes12024-07-13FalseFalsePro & Farm900,000$900,000$509,016$No---------------------------Link / NHL Link
Jason Robertson (1 Way Contract)DallasLW241999-07-22USANo202 Lbs6 ft3NoNoN/AYesYes32024-07-13FalseFalsePro & Farm4,500,000$4,500,000$2,545,082$No4,500,000$4,500,000$-------4,500,000$4,500,000$-------NoNo-------Link / NHL Link
Joel Farabee (1 Way Contract)DallasLW242000-02-25USANo186 Lbs6 ft0NoNoTrade2024-07-15YesYes42024-08-01FalseFalsePro & Farm4,000,000$4,000,000$2,262,295$No4,000,000$4,000,000$4,000,000$---------------NoNoNo------Link / NHL Link
Joel Kiviranta (1 Way Contract)DallasLW281996-03-23FINNo185 Lbs5 ft11NoNoN/AYesYes12024-07-13FalseFalsePro & Farm1,000,000$1,000,000$565,574$No---------------------------Link / NHL Link
Logan StankovenDallasC212003-02-26CANYes171 Lbs5 ft8NoNoProspectNoNo32024-07-13FalseFalsePro & Farm814,167$814,167$460,471$No814,167$814,167$-------814,167$814,167$-------NoNo-------Link
Matt Duchene (1 Way Contract)DallasRW331991-01-16CANNo210 Lbs6 ft1YesNoN/AYesYes32024-07-31FalseFalsePro & Farm5,000,000$5,000,000$2,827,869$No5,000,000$5,000,000$----------------YesYes-------NHL Link
Matt Dumba (1 Way Contract)DallasD291994-07-25CANNo181 Lbs6 ft0NoNoTrade2024-07-27YesYes42024-07-13FalseFalsePro & Farm4,000,000$4,000,000$2,262,295$No4,000,000$4,000,000$4,000,000$------4,000,000$4,000,000$4,000,000$------NoNoNo------Link / NHL Link
Miro Heiskanen (1 Way Contract)DallasD241999-07-18FINNo197 Lbs6 ft2NoNoN/AYesYes32024-07-13FalseFalsePro & Farm5,000,000$5,000,000$2,827,869$No5,000,000$5,000,000$-------5,000,000$5,000,000$-------NoNo-------Link / NHL Link
Riley Tufte (1 Way Contract)DallasLW261998-04-10USANo230 Lbs6 ft6NoNoN/AYesYes22024-07-13FalseFalsePro & Farm900,000$900,000$509,016$No900,000$--------900,000$--------No--------Link / NHL Link
Roope Hintz (1 Way Contract)DallasC271996-11-17FINNo212 Lbs6 ft3NoNoN/AYesYes22024-07-13FalseFalsePro & Farm2,000,000$2,000,000$1,131,148$No2,000,000$--------2,000,000$--------No--------Link / NHL Link
Ryan Suter (1 Way Contract)DallasD391985-01-21USANo201 Lbs6 ft1YesNoN/AYesYes12024-07-31FalseFalsePro & Farm3,600,000$3,600,000$2,036,066$No---------------------------NHL Link
Scott Wedgewood (1 Way Contract)DallasG311992-08-14CANNo201 Lbs6 ft2NoNoN/AYesYes12024-07-13FalseFalsePro & Farm800,000$800,000$452,459$No---------------------------Link / NHL Link
Thomas HarleyDallasD222001-08-19USAYes206 Lbs6 ft4NoNoN/ANoNo12024-07-13FalseFalsePro & Farm863,333$863,333$488,278$No---------------------------Link / NHL Link
Tyler Seguin (1 Way Contract)DallasC321992-01-31CANNo207 Lbs6 ft1YesNoN/AYesYes12024-07-13FalseFalsePro & Farm6,500,000$6,500,000$3,676,230$No---------------------------NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2128.52203 Lbs6 ft22.382,884,643$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
60,577,500$36,914,167$28,814,167$11,500,000$3,500,000$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jason RobertsonTyler SeguinMatt Duchene32122
2Joel FarabeeJamie BennEvgenii Dadonov29122
3Joel KivirantaLogan StankovenDenis Gurianov24122
4Riley TufteMatt DucheneGivani Smith15122
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenEsa Lindell32122
2Thomas HarleyRyan Suter29122
3Jani HakanpaaMatt Dumba24122
4Ilya LyubushkinMiro Heiskanen15122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Jason RobertsonTyler SeguinMatt Duchene60122
2Joel FarabeeJamie BennEvgenii Dadonov40122
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenEsa Lindell60122
2Thomas HarleyRyan Suter40122
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Matt DucheneJason Robertson60122
2Tyler SeguinJamie Benn40122
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenEsa Lindell60122
2Thomas HarleyRyan Suter40122
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Matt Duchene60122Miro HeiskanenEsa Lindell60122
2Jason Robertson40122Thomas HarleyRyan Suter40122
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Matt DucheneJason Robertson60122
2Tyler SeguinJamie Benn40122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Miro HeiskanenEsa Lindell60122
2Thomas HarleyRyan Suter40122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Jason RobertsonTyler SeguinMatt DucheneMiro HeiskanenEsa Lindell
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jason RobertsonTyler SeguinMatt DucheneMiro HeiskanenEsa Lindell
Extra Forwards
Normal PowerPlayPenalty Kill
Logan Stankoven, Joel Kiviranta, Denis GurianovLogan Stankoven, Joel KivirantaDenis Gurianov
Extra Defensemen
Normal PowerPlayPenalty Kill
Jani Hakanpaa, Matt Dumba, Ilya LyubushkinJani HakanpaaMatt Dumba, Ilya Lyubushkin
Penalty Shots
Matt Duchene, Jason Robertson, Tyler Seguin, Jamie Benn, Joel Farabee
Goalie
#1 : Jake Oettinger, #2 : Scott Wedgewood
Custom OT Lines Forwards
Matt Duchene, Jason Robertson, Tyler Seguin, Jamie Benn, Joel Farabee, Evgenii Dadonov, Evgenii Dadonov, Logan Stankoven, Joel Kiviranta, Denis Gurianov, Riley Tufte
Custom OT Lines Defensemen
Miro Heiskanen, Esa Lindell, Thomas Harley, Ryan Suter, Jani Hakanpaa


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
1Anaheim11000000312110000003120000000000021.00034700300028111070251110126116.67%5180.00%053793857.25%561101155.49%23846651.07%2820186126
2Boston2010000115-41000000112-11010000003-310.250123000100461217156671823349111.11%8187.50%053793857.25%561101155.49%23846651.07%483350152512
3Buffalo11000000321000000000001100000032121.00035800030021510603211812100.00%40100.00%053793857.25%561101155.49%23846651.07%2316247125
4Calgary1010000012-11010000012-10000000000000.0001230000102346130259696116.67%3166.67%053793857.25%561101155.49%23846651.07%2417237126
5Carolina1010000002-2000000000001010000002-200.0000000000002331280231388100.00%40100.00%053793857.25%561101155.49%23846651.07%2215256125
6Chicago321000001293211000006601100000063340.667122032003540732121310732328396233.33%13376.92%053793857.25%561101155.49%23846651.07%684772223818
7Colorado1010000002-21010000002-20000000000000.0000000000002365120271187400.00%40100.00%053793857.25%561101155.49%23846651.07%2316227136
8Edmonton11000000211110000002110000000000021.000246000110192116033681411100.00%40100.00%053793857.25%561101155.49%23846651.07%2014277125
9Florida2020000047-31010000012-11010000035-200.0004610001030361011150621632227114.29%11281.82%053793857.25%561101155.49%23846651.07%432750142512
10Las Vegas1010000013-2000000000001010000013-200.000123000010173410021610174125.00%50100.00%053793857.25%561101155.49%23846651.07%2112248146
11Los Angeles1010000005-5000000000001010000005-500.000000000000158070276620200.00%2150.00%053793857.25%561101155.49%23846651.07%2115258125
12Minnesota11000000211000000000001100000021121.00023500101020767023510122150.00%30100.00%053793857.25%561101155.49%23846651.07%2215257125
13NY Isles10000010321100000103210000000000021.000347002002341710672246252150.00%30100.00%053793857.25%561101155.49%23846651.07%2719247136
14NY Rangers11000000202110000002020000000000021.000246011010227510020158146116.67%40100.00%053793857.25%561101155.49%23846651.07%2215257115
15Nashville21000100651110000003121000010034-130.7506121800222041121613046162735700.00%60100.00%053793857.25%561101155.49%23846651.07%463048142513
16Pittsburgh10001000211000000000001000100021121.0002460010013291148224698112.50%30100.00%053793857.25%561101155.49%23846651.07%3023196136
17San Jose21100000440211000004400000000000020.50048120031003715101202991837600.00%8187.50%053793857.25%561101155.49%23846651.07%422850162612
18Seattle10000010431100000104310000000000021.000461000120122411542144108225.00%20100.00%053793857.25%561101155.49%23846651.07%2920227136
19St-Louis1000000134-11000000134-10000000000010.5003580012002310655273616200.00%330.00%053793857.25%561101155.49%23846651.07%2820217147
20Tampa Bay1010000013-2000000000001010000013-200.00012300010012165031131214300.00%5180.00%053793857.25%561101155.49%23846651.07%1911278136
21Toronto11000000624110000006240000000000021.00061117003030184680231010234125.00%50100.00%053793857.25%561101155.49%23846651.07%2214267115
22Utah2110000046-2000000000002110000046-220.500471100211046208180521519368225.00%7271.43%053793857.25%561101155.49%23846651.07%473346142512
23Washington2020000046-21010000034-11010000012-100.00047110022003815815065820316116.67%90100.00%153793857.25%561101155.49%23846651.07%443048152612
24Winnipeg2010001046-2100000104311010000003-320.50045900111257222211745922307114.29%10190.00%053793857.25%561101155.49%23846651.07%533848132312
Total331115011327282-10187600032463971549011002643-17330.50072123195012722196726228232249378412453154861161916.38%1311787.02%153793857.25%561101155.49%23846651.07%784540802245422207
_Since Last GM Reset331115011327282-10187600032463971549011002643-17330.50072123195012722196726228232249378412453154861161916.38%1311787.02%153793857.25%561101155.49%23846651.07%784540802245422207
_Vs Conference2088001214652-612540002130273834001001625-9220.550467812400171512344414513615716474133182294691217.39%751382.67%053793857.25%561101155.49%23846651.07%480333478148257127
_Vs Division1254001113133-26220001116160632001001517-2140.58331528300101192283988497122938212017536616.67%46980.43%053793857.25%561101155.49%23846651.07%2912032868515377

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
3333W37212319572684124531548601
All Games
GPWLOTWOTL SOWSOLGFGA
33111511327282
Home Games
GPWLOTWOTL SOWSOLGFGA
187600324639
Visitor Games
GPWLOTWOTL SOWSOLGFGA
154911002643
Last 10 Games
WLOTWOTL SOWSOL
450001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
1161916.38%1311787.02%1
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
228232249372722196
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
53793857.25%561101155.49%23846651.07%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
784540802245422207


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
317Dallas3Nashville4LXBoxScore
432NY Isles2Dallas3WXXBoxScore
539Seattle3Dallas4WXXBoxScore
654San Jose3Dallas1LBoxScore
766Dallas1Washington2LBoxScore
877Edmonton1Dallas2WBoxScore
1095Dallas3Buffalo2WBoxScore
11109Dallas0Boston3LBoxScore
13132Chicago2Dallas1LBoxScore
16172Florida2Dallas1LBoxScore
17177Dallas3Florida5LBoxScore
20216Chicago4Dallas5WBoxScore
22230Dallas0Winnipeg3LBoxScore
24241Dallas2Pittsburgh1WXBoxScore
25262Boston2Dallas1LXXBoxScore
27281Dallas2Minnesota1WBoxScore
28291Anaheim1Dallas3WBoxScore
30303San Jose1Dallas3WBoxScore
32325Dallas1Tampa Bay3LBoxScore
33339Dallas0Carolina2LBoxScore
35357Dallas6Chicago3WBoxScore
36373Colorado2Dallas0LBoxScore
38391Winnipeg3Dallas4WXXBoxScore
39395Dallas1Utah5LBoxScore
40409Dallas0Los Angeles5LBoxScore
42423Dallas1Las Vegas3LBoxScore
43442Calgary2Dallas1LBoxScore
46466Nashville1Dallas3WBoxScore
47483St-Louis4Dallas3LXXBoxScore
48494Washington4Dallas3LBoxScore
49508Toronto2Dallas6WBoxScore
51525NY Rangers0Dallas2WBoxScore
53556Dallas3Utah1WBoxScore
54563Minnesota-Dallas-
55577Dallas-Chicago-
57595Buffalo-Dallas-
58608Ottawa-Dallas-
60628Utah-Dallas-
61643Dallas-NY Rangers-
63657Dallas-Philadelphia-
65673Dallas-Montreal-
66685Dallas-Ottawa-
67693Dallas-Toronto-
68715Montreal-Dallas-
69724Dallas-Colorado-
70739Detroit-Dallas-
71753Carolina-Dallas-
73774Las Vegas-Dallas-
74783Dallas-St-Louis-
76805Dallas-Las Vegas-
77823Vancouver-Dallas-
79840Columbus-Dallas-
80856Dallas-Anaheim-
82875Dallas-Los Angeles-
83889Dallas-San Jose-
84897Dallas-New Jersey-
85913Dallas-NY Isles-
86924Dallas-Columbus-
88946Los Angeles-Dallas-
90964St-Louis-Dallas-
92979New Jersey-Dallas-
93994Calgary-Dallas-
951011Dallas-Edmonton-
961019Dallas-Vancouver-
Trade Deadline --- Trades can’t be done after this day is simulated!
991051Dallas-Winnipeg-
1001067Dallas-Colorado-
1021083Anaheim-Dallas-
1031097Tampa Bay-Dallas-
1041105Philadelphia-Dallas-
1051127Minnesota-Dallas-
1061141Dallas-Edmonton-
1071150Dallas-Calgary-
1091169Dallas-Seattle-
1101181Dallas-Seattle-
1121201Nashville-Dallas-
1131211Pittsburgh-Dallas-
1141223Dallas-Minnesota-
1151242Vancouver-Dallas-
1171255Winnipeg-Dallas-
1181272Utah-Dallas-
1191286Dallas-Detroit-
1211304Dallas-Nashville-



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Capacity5300530022004100100
Ticket Price150906040300
Attendance91,79593,83338,74473,230960
Attendance PCT96.22%98.36%97.84%99.23%53.33%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueCapacityTeam Popularity
23 16587 - 97.57% 1,233,603$22,204,848$17000101

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Salaries CapCoaches SalariesSpecial Salary Cap Value
26,729,803$ 60,577,500$ 44,477,500$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
496,537$ 26,729,803$ 0$ 21 0

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
28,372,861$ 69 496,537$ 34,261,053$

Team Total Estimate
Estimated Season Expenses Current Bank Account Projected Bank Account
34,462,947$ 8,477,543$ 2,387,457$
Estimated Season Salary CapAvailable Salary CapMaximum Salary CapOver Minimum Salary Cap
60,990,856$ 4,009,144$ 65,000,000$ 15,990,856$



Depth Chart

Left WingCenterRight Wing
Jason RobertsonAGE:24PO:0OV:81
Joel FarabeeAGE:24PO:0OV:75
Joel KivirantaAGE:28PO:0OV:64
Riley TufteAGE:26PO:0OV:61
Roope HintzAGE:27PO:0OV:81
Tyler SeguinAGE:32PO:0OV:80
Jamie BennAGE:34PO:0OV:79
Logan Stankoven (R)AGE:21PO:0OV:68
Matt DucheneAGE:33PO:0OV:81
Evgenii DadonovAGE:35PO:0OV:69
Denis GurianovAGE:27PO:0OV:63
Givani SmithAGE:26PO:0OV:60
Mavrik Bourque (R)AGE:22PO:0OV:60

Defense #1Defense #2Goalie
Miro HeiskanenAGE:24PO:0OV:79
Esa LindellAGE:30PO:0OV:78
Thomas Harley (R)AGE:22PO:0OV:75
Ryan SuterAGE:39PO:0OV:74
Jani HakanpaaAGE:32PO:0OV:73
Matt DumbaAGE:29PO:0OV:72
Ilya LyubushkinAGE:30PO:0OV:70
Joel HanleyAGE:33PO:0OV:63
Alexander PetrovicAGE:32PO:0OV:61
Jake OettingerAGE:25PO:0OV:78
Scott WedgewoodAGE:31PO:0OV:68
Justus Annunen (R)AGE:24PO:0OV:66

Prospects

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
ProspectTeam NameDraft YearOverall PickInformationLast Trade DateLink
Alban ErikssonDallas201853
Alexander GageDallas2021160
Aram MinnetianDallas202399
Arno TiefenseeDallas2023131
Ayrton MartinoDallas202172
Brad GardinerDallas202367
Christian KyrouDallas202238
Conner RouletteDallas2021100
Curtis DouglasDallas201888
Daniel LjungmanDallas2020145
Dawson BarteauxDallas2018150
Francesco ArcuriDallas2021149
Gabe SmithDallas2024123
Gavin WhiteDallas2022102
George FegarasDallas202270
Jack BarDallas2021104
Jacob HolmesDallas2021136
Jeremy LangloisDallas20221002024-03-09
Justin ErtelDallas2021842024-07-27
Lian BichselDallas202227
Maxim MayorovDallas2022134
Nate DanielsonDallas202313
Nathan GaucherDallas2022312024-08-03
Nicholas PorcoDallas2019138
Niilopekka MuhonenDallas2024138
Noel FransenDallas2024592024-07-30
Oskar BackDallas201868
Riley DamianiDallas2018999
Samuel SjolundDallas2019107
Sean BehrensDallas2021692024-07-26
Trevor JanickeDallas2019148

Draft Picks

Year R1R2R3R4R5
2025
2026
2027
2028
2029
Conditional Draft Picks



No News Found in News Database. Please create a news.


Dallas Trade History

[11/16/2024 3:22:17 AM] - TRADE : From Dallas to Winnipeg : Thomas Milic (P).
[11/16/2024 3:22:17 AM] - TRADE : From Winnipeg to Dallas : Y:2025-RND:4-COL.



[11/20/2024 4:00:11 AM] Dallas lines for next game are empty. Current rosters/lines are not erased.



No Injury or Suspension.


Dallas 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
1Jason Robertson1828284166465118726967912.08%43384221.111423371343142216745.75%10.86112
2Roope Hintz1897973152377818035159313.32%34383820.312016361221121312451.39%00.79412
3Tyler Seguin1965373126295215930751310.33%28368618.8114233798011108758.75%00.6818
4Miro Heiskanen18318101119-2114118327717910.06%224429423.47924331210330200%00.5500
5Jamie Benn1964952101-271302972585369.14%15364618.6012162894011115558.77%10.55510

Dallas Goalies Stat Leaders (Regular Season)

# Goalie Name GP W L OTL PCT GAA MP PIM SO GA SA SAR A EG PS % PSA
1Jake Oettinger1636277150.8982.7491468541740960760.80541
2Scott Wedgewood51152140.8842.9525014212310570000.6679
3Anton Khudobin61200.9102.63274201213300000

Dallas 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
Regular Season
202282194808322165241-764114190322190109-19415290510175132-57631652944593259455111178358254063736215167477113512643613.64%3316779.76%21310235555.63%1264255549.47%636120252.91%1945134119806001041514
202382293702833207242-354114220032099123-2441151502513108119-1179207367574348257637211370266372342230066978413942944916.67%3255682.77%21272252150.46%1314266749.27%634120252.75%1974137419615941033511
2024331115011327282-10187600032463971549011002643-173372123195012722196726228232249378412453154861161916.38%1311787.02%153793857.25%561101155.49%23846651.07%784540802245422207
Total Regular Season197591000111287444565-121100354703573235271-3697245308714209294-85175444784122867168124133244622151214351609115529215881870323167410415.43%78714082.21%53119581453.65%3139623350.36%1508287052.54%470332564744144024961233
Playoff
Total Playoff0000000000000000000000000000000000000000000000000000000%000%0000%000%000%000000

Dallas 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

Dallas Goalies Stat Leaders (Play-Off)

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