Dallas Stars

GP: 82 | W: 54 | L: 23 | OTL: 5 | P: 113
GF: 235 | GA: 196 | PP%: 15.83% | PK%: 82.99%
GM : Mickael Lajeunesse | Morale : 50 | Team Overall : 74

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 SP
1Patrice Bergeron (A)X99.006339798376847981908286907985813850780
2Blake Wheeler (C)X100.007855737694869077728874757884914650760
3Taylor HallX99.006339799178867788598474618577767350750
4Mathew BarzalX100.005439769172858986798273618465718350740
5Pierre-Luc DuboisXXX100.007945728187839079827875668163708950730
6Patrik LaineXX100.007539838091858779567580628364679150730
7Mike HoffmanXX100.005839828471838979547783618279744850730
8Derek RyanXX100.005338866867828866837265816684742550690
9Jesper FastX100.008339846776818566546865836677674350690
10Jesper BrattX100.005938877665828574567570597863645950680
11Tobias RiederXXX100.006739836670738265686361766673675150650
12Jesper Boqvist (R)X100.006539876670797364726163676663647650640
13Victor HedmanX100.007148777598908576308773875978807350780
14Mark Giordano (A)X100.006343717577918574308673905887922650770
15Ryan EllisX100.006939867766908476308369905877796850760
16Brian DumoulinX100.008343866488877863307557905277695850740
17Miro HeiskanenX100.005838898075908976307770725561638950710
18Mark PysykX100.008039846777818366307063745275696650700
Scratches
1Matt CalvertXX92.507972716970828466596867866579724850700
2Dylan DeMeloX100.008243796373858762307355785173674250700
TEAM AVERAGE99.50694381757784847355767075687473605072
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 SP
1Carey Price97.00959694879493959493959482875250900
2David Rittich100.00929593859190929190929175815750870
Scratches
TEAM AVERAGE98.5094969486939294939294937984555089
Coaches Name PH DF OF PD EX LD PO CNT Age Contract Salary
John Tortorella81908289928553USA6132,850,000$


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
1Patrice BergeronDallas StarsC8234336710220712853461112289.83%14178721.80710177631110192359555.82%237000300.7512000865
2Victor HedmanDallas StarsD83144458167315146162148481149.46%122203324.50715221033330000254210.00%000000.5700201162
3Mike HoffmanDallas StarsLW/RW83203555238055100255622067.84%6157218.952121455332000006345.67%12700100.7018000235
4Mathew BarzalDallas StarsC792033531120232171936418210.36%2154419.5571421522760000334147.85%179100000.6904000433
5Mark GiordanoDallas StarsD8294049-895517214414251886.34%90189923.1751419942860001206410.00%000000.5200001255
6Ryan EllisDallas StarsD78113748-350010612712837838.59%96179022.968917903020111213410.00%000000.5400000433
7Miro HeiskanenDallas StarsD82163248212207778109368214.68%67178221.749817632820000108410.00%000000.5400000354
8Taylor HallDallas StarsLW83143246126086145232641836.03%1160519.34291155309000070041.27%12600000.5728000042
9Blake WheelerDallas StarsRW75202141-108210182103167449711.98%12141218.8361016422610003343159.43%10600000.5823101522
10Patrik LaineDallas StarsLW/RW82162137134013575174581389.20%3153818.7611011242810001203036.75%11700100.48210000313
11Pierre-Luc DuboisDallas StarsC/LW/RW8213193219575167130154431068.44%10140217.101231312900022222347.77%62800000.4614010322
12Brian DumoulinDallas StarsD805232816495138653252515.63%93132716.600222251012231110.00%000000.4200100123
13Derek RyanDallas StarsC/RW8091423142099572276312.50%47178.97101160000350150.91%71100000.6400000212
14Jesper FastDallas StarsRW83111021-3260635988257412.50%1897111.7021383700012213242.45%10600000.4300000032
15Jesper BrattDallas StarsLW6791120134073573153912.33%25398.0501104000002048.84%4300000.7402000202
16Matt CalvertDallas StarsLW/RW8081119153410776367195211.94%207829.7920242501112321040.32%12400000.4900002202
17Dylan DeMeloDallas StarsD5041014539555442871414.29%4995519.102248460000117200.00%000000.2900001011
18Mark PysykDallas StarsD480997340652912560.00%2162613.0500000000012000.00%000000.2900000001
19Tobias RiederDallas StarsC/LW/RW83257-36019544414354.55%44935.9500000000000045.30%36200000.2800000000
20Jesper BoqvistDallas StarsC21101-1205950020.00%21215.7800000000000042.45%10600000.1600000000
21Dale WeiseStars (Dal)RW51010001120150.00%0357.010000000000000.00%000000.5700000000
22Zack MacEwenStars (Dal)C3000000320000.00%0279.2900000000000059.09%2200000.0000000000
Team Total or Average14912374406771346775516622022247173518169.59%6362496816.75621191816903256224212189502150.39%673900500.54941416424749
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
1Carey PriceDallas Stars64441730.9042.28375812614314910200.929286418621
2David RittichDallas Stars33101440.8892.97183721918210000.727112854200
Team Total or Average97543170.8992.51559514723423120200.872399272821


Filter Tips
PriorityTypeDescription
1| or  OR Logical "or" (Vertical bar). Filter the column for content that matches text from either side of the bar
2 &&  or  AND Logical "and". Filter the column for content that matches text from either side of the operator.
3/\d/Add any regex to the query to use in the query ("mig" flags can be included /\w/mig)
4< <= >= >Find alphabetical or numerical values less than or greater than or equal to the filtered query
5! or !=Not operator, or not exactly match. Filter the column with content that do not match the query. Include an equal (=), single (') or double quote (") to exactly not match a filter.
6" or =To exactly match the search query, add a quote, apostrophe or equal sign to the beginning and/or end of the query
7 -  or  to Find a range of values. Make sure there is a space before and after the dash (or the word "to")
8?Wildcard for a single, non-space character.
8*Wildcard for zero or more non-space characters.
9~Perform a fuzzy search (matches sequential characters) by adding a tilde to the beginning of the query
10textAny text entered in the filter will match text found within the column
Player Name Team NamePOS Age Birthday Rookie Weight Height No Trade Available For Trade Force Waivers Contract StatusType Current Salary Salary Cap Salary Cap Remaining Exclude from Salary Cap Link
Blake WheelerRW341986-08-31No225 Lbs6 ft5NoNoNo1UFAPro & Farm6,500,000$6,500,000$0$NoLink / NHL Link
Brian DumoulinD291991-09-06No207 Lbs6 ft4NoNoNo1UFAPro & Farm1,000,000$1,000,000$0$NoLink / NHL Link
Carey PriceG331987-08-16No217 Lbs6 ft3NoNoNo2UFAPro & Farm2,000,000$2,000,000$0$NoLink / NHL Link
David RittichG281992-08-19No206 Lbs6 ft3NoNoNo1UFAPro & Farm300,000$300,000$0$NoLink / NHL Link
Derek RyanC/RW341986-12-29No185 Lbs5 ft10NoNoNo1UFAPro & Farm300,000$300,000$0$NoLink / NHL Link
Dylan DeMeloD271993-05-01No191 Lbs6 ft0NoNoNo3RFAPro & Farm1,000,000$1,000,000$0$NoLink / NHL Link
Jesper BoqvistC221998-10-30Yes180 Lbs6 ft0NoNoNo4ELCPro & Farm500,000$500,000$0$NoNHL Link
Jesper BrattLW221998-07-30No175 Lbs5 ft10NoNoNo2ELCPro & Farm300,000$300,000$0$NoLink / NHL Link
Jesper FastRW291991-12-02No191 Lbs6 ft1NoNoNo1UFAPro & Farm1,000,000$1,000,000$0$NoLink / NHL Link
Mark GiordanoD371983-10-03No200 Lbs6 ft1NoNoNo2UFAPro & Farm3,200,000$3,200,000$0$NoLink / NHL Link
Mark PysykD291992-01-11No196 Lbs6 ft1NoNoNo2UFAPro & Farm1,000,000$1,000,000$0$NoLink / NHL Link
Mathew BarzalC231997-05-26No187 Lbs6 ft0NoNoNo2RFAPro & Farm900,000$900,000$0$NoLink / NHL Link
Matt Calvert (Out of Payroll)LW/RW311989-12-24No186 Lbs5 ft11NoNoNo2UFAPro & Farm1,000,000$0$0$YesLink / NHL Link
Mike HoffmanLW/RW311989-11-24No182 Lbs6 ft0NoNoNo1UFAPro & Farm5,000,000$5,000,000$0$NoLink / NHL Link
Miro HeiskanenD211999-07-18No190 Lbs6 ft1NoNoNo3ELCPro & Farm900,000$900,000$0$NoLink / NHL Link
Patrice BergeronC351985-07-24No195 Lbs6 ft1NoNoNo1UFAPro & Farm6,500,000$6,500,000$0$NoLink / NHL Link
Patrik LaineLW/RW221998-04-19No206 Lbs6 ft5NoNoNo1ELCPro & Farm900,000$900,000$0$NoLink / NHL Link
Pierre-Luc DuboisC/LW/RW221998-06-24No218 Lbs6 ft3NoNoNo2ELCPro & Farm900,000$900,000$0$NoLink / NHL Link
Ryan EllisD301991-01-03No180 Lbs5 ft10NoNoNo1UFAPro & Farm3,500,000$3,500,000$0$NoLink / NHL Link
Taylor HallLW291991-11-14No205 Lbs6 ft1NoNoNo2UFAPro & Farm6,500,000$6,500,000$0$NoLink / NHL Link
Tobias RiederC/LW/RW281993-01-10No186 Lbs5 ft11NoNoNo1UFAPro & Farm500,000$500,000$0$NoLink / NHL Link
Victor HedmanD301990-12-18No229 Lbs6 ft6NoNoNo1UFAPro & Farm6,500,000$6,500,000$0$NoLink / NHL Link
Total PlayersAverage AgeAverage WeightAverage HeightAverage ContractAverage Year 1 Salary
2228.45197 Lbs6 ft11.682,281,818$

Sum Year 1 Salary Sum Year 2 Salary Sum Year 3 Salary Sum Year 4 Salary Sum Year 5 Salary
50,200,000$18,200,000$2,400,000$500,000$0$



5 vs 5 Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Taylor HallPatrice BergeronMike Hoffman35113
2Patrik LaineMathew BarzalBlake Wheeler35122
3Jesper BrattDerek RyanPierre-Luc Dubois20122
4Jesper BoqvistTobias RiederJesper Fast10131
5 vs 5 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan EllisVictor Hedman40122
2Miro HeiskanenMark Giordano40122
3Mark PysykBrian Dumoulin20131
4Victor HedmanMark Giordano0122
Power Play Forward
Line #Left WingCenterRight WingTime %PHYDFOF
1Taylor HallPatrice BergeronMike Hoffman55023
2Patrik LaineMathew BarzalBlake Wheeler45023
Power Play Defense
Line #DefenseDefenseTime %PHYDFOF
1Victor HedmanRyan Ellis55113
2Miro HeiskanenMark Giordano45113
Penalty Kill 4 Players Forward
Line #CenterWingTime %PHYDFOF
1Patrice BergeronTaylor Hall50131
2Pierre-Luc DuboisJesper Fast50131
Penalty Kill 4 Players Defense
Line #DefenseDefenseTime %PHYDFOF
1Brian DumoulinMark Giordano50131
2Ryan EllisVictor Hedman50131
Penalty Kill 3 Players
Line #WingTime %PHYDFOFDefenseDefenseTime %PHYDFOF
1Patrice Bergeron50131Victor HedmanMark Giordano50131
2Pierre-Luc Dubois50131Ryan EllisBrian Dumoulin50131
4 vs 4 Forward
Line #CenterWingTime %PHYDFOF
1Patrice BergeronTaylor Hall55122
2Mathew BarzalMike Hoffman45122
4 vs 4 Defense
Line #DefenseDefenseTime %PHYDFOF
1Ryan EllisVictor Hedman55122
2Mark GiordanoMiro Heiskanen45122
Last Minutes Offensive
Left WingCenterRight WingDefenseDefense
Taylor HallPatrice BergeronMike HoffmanVictor HedmanRyan Ellis
Last Minutes Defensive
Left WingCenterRight WingDefenseDefense
Jesper BoqvistPatrice BergeronJesper FastBrian DumoulinVictor Hedman
Extra Forwards
Normal PowerPlayPenalty Kill
Patrik Laine, Taylor Hall, Patrice BergeronPatrice Bergeron, Pierre-Luc DuboisPatrice Bergeron
Extra Defensemen
Normal PowerPlayPenalty Kill
Victor Hedman, Miro Heiskanen, Mark GiordanoMark GiordanoMiro Heiskanen, Mark Giordano
Penalty Shots
Patrik Laine, Taylor Hall, Mike Hoffman, Pierre-Luc Dubois, Patrice Bergeron
Goalie
#1 : Carey Price, #2 : David Rittich


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

Total For Players
Games PlayedPointsStreakGoalsAssistsPointsShots ForShots AgainstShots BlockedPenalty MinutesHitsEmpty Net GoalsShutouts
82113L123540864323122028603667174807
All Games
GPWLOTWOTL SOWSOLGFGA
8243233382235196
Home Games
GPWLOTWOTL SOWSOLGFGA
41247225112996
Visitor Games
GPWLOTWOTL SOWSOLGFGA
4119161131106100
Last 10 Games
WLOTWOTL SOWSOL
621001
Power Play AttempsPower Play GoalsPower Play %Penalty Kill AttempsPenalty Kill Goals AgainstPenalty Kill %Penalty Kill Goals For
3605715.83%2945082.99%3
Shots 1 PeriodShots 2 PeriodShots 3 PeriodShots 4+ PeriodGoals 1 PeriodGoals 2 PeriodGoals 3 PeriodGoals 4+ Period
7827297707185726715
Face Offs
Won Offensive ZoneTotal OffensiveWon Offensive %Won Defensif ZoneTotal DefensiveWon Defensive %Won Neutral ZoneTotal NeutralWon Neutral %
1457285451.05%1307254751.32%632120652.40%
Puck Time
In Offensive ZoneControl In Offensive ZoneIn Defensive ZoneControl In Defensive ZoneIn Neutral ZoneControl In Neutral Zone
2106148818355901035530


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
2 - 2020-10-1910Boston Bruins1Dallas Stars2WBoxScore
4 - 2020-10-2124Dallas Stars3St-Louis Blues2WBoxScore
5 - 2020-10-2232Dallas Stars1Détroit Red Wings2LBoxScore
7 - 2020-10-2439Dallas Stars2Washington Capitals4LBoxScore
9 - 2020-10-2655Calgary Flames1Dallas Stars2WBoxScore
11 - 2020-10-2870Washington Capitals2Dallas Stars5WBoxScore
13 - 2020-10-3082Dallas Stars2Buffalo Sabres3LXBoxScore
15 - 2020-11-0194Dallas Stars3Columbus Jackets2WBoxScore
17 - 2020-11-03108Dallas Stars3Pittsburgh Penguins4LBoxScore
18 - 2020-11-04118Dallas Stars2Philadelphia Flyers1WBoxScore
20 - 2020-11-06132Ottawa Senators1Dallas Stars3WBoxScore
23 - 2020-11-09152Anaheim Ducks0Dallas Stars3WBoxScore
25 - 2020-11-11166Pittsburgh Penguins2Dallas Stars3WXXBoxScore
28 - 2020-11-14186Minnesota Wild4Dallas Stars5WXBoxScore
31 - 2020-11-17201Dallas Stars3Colorado Avalanche1WBoxScore
32 - 2020-11-18206Montreal Canadiens3Dallas Stars2LXBoxScore
35 - 2020-11-21230Colorado Avalanche0Dallas Stars3WBoxScore
40 - 2020-11-26264Dallas Stars2Winnipeg Jets1WBoxScore
43 - 2020-11-29284Dallas Stars2Calgary Flames3LBoxScore
44 - 2020-11-30291Dallas Stars3Vancouver Canucks2WXXBoxScore
46 - 2020-12-02300Dallas Stars3Edmonton Oilers2WXXBoxScore
49 - 2020-12-05327Vancouver Canucks0Dallas Stars1WBoxScore
51 - 2020-12-07342Winnipeg Jets2Dallas Stars3WXXBoxScore
53 - 2020-12-09359Chicago Blackhawks6Dallas Stars2LBoxScore
55 - 2020-12-11371Vegas Knights1Dallas Stars4WBoxScore
56 - 2020-12-12376Dallas Stars1Chicago Blackhawks3LBoxScore
59 - 2020-12-15402St-Louis Blues2Dallas Stars5WBoxScore
61 - 2020-12-17416Dallas Stars3Minnesota Wild1WBoxScore
63 - 2020-12-19431Dallas Stars3Winnipeg Jets1WBoxScore
65 - 2020-12-21445Winnipeg Jets0Dallas Stars2WBoxScore
67 - 2020-12-23461New York Islanders1Dallas Stars3WBoxScore
70 - 2020-12-26478New Jersey Devils1Dallas Stars4WBoxScore
73 - 2020-12-29499Vegas Knights0Dallas Stars2WBoxScore
74 - 2020-12-30505Dallas Stars0Nashville Predators3LBoxScore
76 - 2021-01-01523Edmonton Oilers5Dallas Stars3LBoxScore
79 - 2021-01-04539Dallas Stars5Tampa Lightning0WBoxScore
80 - 2021-01-05548Dallas Stars4Florida Panthers3WBoxScore
82 - 2021-01-07566Calgary Flames5Dallas Stars4LXXBoxScore
88 - 2021-01-13593Colorado Avalanche2Dallas Stars4WBoxScore
89 - 2021-01-14609Dallas Stars3Phoenix Coyotes1WBoxScore
92 - 2021-01-17626Nashville Predators1Dallas Stars3WBoxScore
94 - 2021-01-19640Détroit Red Wings3Dallas Stars1LBoxScore
99 - 2021-01-24677Dallas Stars2Los Angeles Kings4LBoxScore
100 - 2021-01-25687Dallas Stars4Anaheim Ducks0WBoxScore
102 - 2021-01-27702Dallas Stars2San Jose Sharks4LBoxScore
105 - 2021-01-30722Dallas Stars2Colorado Avalanche3LBoxScore
107 - 2021-02-01737Buffalo Sabres4Dallas Stars3LXBoxScore
109 - 2021-02-03753Dallas Stars4Minnesota Wild2WBoxScore
118 - 2021-02-12771Tampa Lightning2Dallas Stars3WXXBoxScore
120 - 2021-02-14776Toronto Leafs5Dallas Stars2LBoxScore
123 - 2021-02-17798Dallas Stars3New Jersey Devils2WBoxScore
125 - 2021-02-19810Dallas Stars2New York Rangers3LBoxScore
126 - 2021-02-20816Dallas Stars2New York Islanders6LBoxScore
129 - 2021-02-23842Minnesota Wild4Dallas Stars7WBoxScore
130 - 2021-02-24852Dallas Stars3St-Louis Blues1WBoxScore
133 - 2021-02-27873Carolina Hurricanes2Dallas Stars4WBoxScore
135 - 2021-03-01881Dallas Stars0Toronto Leafs2LBoxScore
137 - 2021-03-03900Dallas Stars4Montreal Canadiens2WBoxScore
138 - 2021-03-04911Dallas Stars2Ottawa Senators4LBoxScore
141 - 2021-03-07929Phoenix Coyotes5Dallas Stars1LBoxScore
143 - 2021-03-09944St-Louis Blues2Dallas Stars3WBoxScore
145 - 2021-03-11960Chicago Blackhawks2Dallas Stars1LBoxScore
147 - 2021-03-13974Dallas Stars4Carolina Hurricanes3WXXBoxScore
Trade Deadline --- Trades can’t be done after this day is simulated!
149 - 2021-03-15984Dallas Stars3Boston Bruins2WXBoxScore
151 - 2021-03-171007Dallas Stars3St-Louis Blues1WBoxScore
154 - 2021-03-201026Edmonton Oilers4Dallas Stars5WXXBoxScore
156 - 2021-03-221039Dallas Stars2Nashville Predators4LBoxScore
158 - 2021-03-241051Nashville Predators4Dallas Stars5WXXBoxScore
161 - 2021-03-271076New York Rangers2Dallas Stars5WBoxScore
163 - 2021-03-291090Florida Panthers5Dallas Stars2LBoxScore
165 - 2021-03-311106San Jose Sharks2Dallas Stars4WBoxScore
167 - 2021-04-021122Dallas Stars4Phoenix Coyotes2WBoxScore
168 - 2021-04-031130Dallas Stars4Vegas Knights2WBoxScore
171 - 2021-04-061149Philadelphia Flyers2Dallas Stars3WBoxScore
173 - 2021-04-081168Winnipeg Jets1Dallas Stars2WBoxScore
175 - 2021-04-101184Los Angeles Kings3Dallas Stars4WXBoxScore
178 - 2021-04-131202Dallas Stars3Chicago Blackhawks2WBoxScore
179 - 2021-04-141212Columbus Jackets2Dallas Stars3WBoxScore
181 - 2021-04-161227Vancouver Canucks2Dallas Stars3WBoxScore
183 - 2021-04-181241Dallas Stars1Anaheim Ducks5LBoxScore
184 - 2021-04-191254Dallas Stars2San Jose Sharks3LXXBoxScore
186 - 2021-04-211270Dallas Stars2Los Angeles Kings4LBoxScore



Arena Capacity - Ticket Price Attendance - %
Level 1Level 2Level 3Level 4Luxury
Arena Capacity60005000200040001000
Ticket Price80453010180
Attendance240,367199,59579,853163,96139,641
Attendance PCT97.71%97.36%97.38%99.98%96.69%

Income
Home Games LeftAverage Attendance - %Average Income per GameYear to Date RevenueArena CapacityTeam Popularity
0 17644 - 98.02% 489,870$20,084,673$18000100

Expenses
Year To Date ExpensesPlayers Total SalariesPlayers Total Average SalariesCoaches SalariesSpecial Salary Cap Value
51,590,969$ 49,200,000$ 17,825,997$ 0$ 0$
Salary Cap Per DaysSalary Cap To DateLuxury Taxe TotalPlayers In Salary CapPlayers Out of Salary Cap
49,200,000$ 48,676,458$ 0$ 21 1

Estimate
Estimated Season RevenueRemaining Season DaysExpenses Per DaysEstimated Season Expenses
0$ 0 279,839$ 0$

Team Total Estimate
Estimated Season ExpensesEstimated Season Salary CapCurrent Bank AccountProjected Bank Account
0$ 49,200,000$ 45,024,965$ 45,024,965$



Depth Chart

Left WingCenterRight Wing
Taylor HallAGE:29PO:73OV:75
Patrik LaineAGE:22PO:91OV:73
Pierre-Luc DuboisAGE:22PO:89OV:73
Mike HoffmanAGE:31PO:48OV:73
Matt CalvertAGE:31PO:48OV:70
Jesper BrattAGE:22PO:59OV:68
Tobias RiederAGE:28PO:51OV:65
Nikolai ProkhorkinAGE:27PO:54OV:62
Patrice BergeronAGE:35PO:38OV:78
Mathew BarzalAGE:23PO:83OV:74
Pierre-Luc DuboisAGE:22PO:89OV:73
Derek RyanAGE:34PO:25OV:69
Tobias RiederAGE:28PO:51OV:65
*Jesper BoqvistAGE:22PO:76OV:64
Zack MacEwenAGE:24PO:52OV:62
Isac LundestromAGE:21PO:81OV:61
*Noah GregorAGE:22PO:65OV:61
Kalle KossilaAGE:27PO:58OV:61
Blake WheelerAGE:34PO:46OV:76
Patrik LaineAGE:22PO:91OV:73
Pierre-Luc DuboisAGE:22PO:89OV:73
Mike HoffmanAGE:31PO:48OV:73
Matt CalvertAGE:31PO:48OV:70
Jesper FastAGE:29PO:43OV:69
Derek RyanAGE:34PO:25OV:69
Tobias RiederAGE:28PO:51OV:65
Dale WeiseAGE:32PO:48OV:62
Nikita JevpalovsAGE:26PO:59OV:61
Nicholas MerkleyAGE:23PO:78OV:60
Nick LappinAGE:28PO:56OV:60

Defense #1Defense #2Goalie
Victor HedmanAGE:30PO:73OV:78
Mark GiordanoAGE:37PO:26OV:77
Ryan EllisAGE:30PO:68OV:76
Brian DumoulinAGE:29PO:58OV:74
Miro HeiskanenAGE:21PO:89OV:71
Mark PysykAGE:29PO:66OV:70
Dylan DeMeloAGE:27PO:42OV:70
Philippe MyersAGE:23PO:56OV:66
Dylan McIlrathAGE:28PO:71OV:65
Chris BreenAGE:31PO:54OV:64
Timothy LiljegrenAGE:21PO:83OV:63
Joe HickettsAGE:24PO:54OV:62
Kevin GravelAGE:28PO:53OV:62
*Ville HeinolaAGE:19PO:84OV:60
Cam DineenAGE:22PO:68OV:59
Ryan JohnstonAGE:28PO:54OV:59
*Niclas AlmariAGE:22PO:66OV:58
*Chad KrysAGE:22PO:74OV:56
*David QuennevilleAGE:22PO:64OV:56
Carey PriceAGE:33PO:52OV:90
David RittichAGE:28PO:57OV:87
Stuart SkinnerAGE:22PO:65OV:71
Felix SandstromAGE:24PO:66OV:69
Spencer MartinAGE:25PO:65OV:68
Josef KorenarAGE:22PO:63OV:68

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
Prospect Team NameDraft Year Overall Pick Information Lien
Artem ManukyanDallas Stars14165
Artur KayumovDallas Stars1298
Filip KralDallas Stars14114
Jake WiseDallas Stars1456
Karl HenrikssonDallas Stars1585
Keith PetruzzelliDallas Stars13134
Marc Del GaizoDallas Stars15103
Mark KastelicDallas Stars15104
Mathias Emilio PettersenDallas Stars1467
Milos RomanDallas Stars14112
Olof LindbomDallas Stars1492
Scott ReedyDallas Stars13130
Ty DellandreaDallas Stars
Vladislav FirstovDallas Stars1552

Draft Picks

Year R1R2R3R4R5R6
16San Flo MTL Nas Dal
17Dal Edm Cal Dal NYI Cal NYI Nas Dal
18Dal Dal VGK Dal
19Dal Dal Dal Dal Dal Dal
20Dal Dal Dal Dal Det Dal Dal



[2021-02-11 07:48:20] - TRADE : From Edmonton Oilers to Dallas Stars : Victor Hedman (78), Mike Hoffman (73), Y:17-RND:2-Edm.
[2021-02-11 07:48:20] - TRADE : From Dallas Stars to Edmonton Oilers : John Carlson (77), Vladimir Tarasenko (74), Y:18-RND:1-Dal.
[2021-01-03 12:09:14] - TRADE : From Calgary Flames to Dallas Stars : Taylor Hall (75), Dylan DeMelo (70), Jesper Fast (69), Tobias Rieder (65), Y:17-RND:3-Cal.
[2021-01-03 12:09:14] - TRADE : From Dallas Stars to Calgary Flames : Jonathan Marchessault (72), Josh Morrissey (72), Roope Hintz (70), Alexander Steen (69), Y:16-RND:2-Dal.
[2020-12-29 14:10:30] - TRADE : From Dallas Stars to New York Islanders : Ryan Carpenter (66).
[2020-12-22 09:20:55] - TRADE : From Los Angeles Kings to Dallas Stars : David Rittich (87), Y:17-RND:2-Cal, Y:20-RND:4-Det.
[2020-12-22 09:20:55] - TRADE : From Dallas Stars to Los Angeles Kings : Darcy Kuemper (90), Y:18-RND:3-Dal.
[2020-12-22 09:20:16] - TRADE : From New York Islanders to Dallas Stars : Ryan Carpenter (66).
[2020-11-20 21:18:20] - Team Name Change : Stars changed name to Dallas Stars
[2020-11-20 19:12:19] - Team Name Change : Dallas Stars changed name to Stars
[2020-11-16 08:27:21] - Blake Wheeler has been selected as captain for Dallas Stars.
[2020-11-16 08:27:21] - Unknown Player is no longer captain for Dallas Stars.
[2020-11-07 07:40:21] - TRADE : From San Jose Sharks to Dallas Stars : Blake Wheeler (76), Y:16-RND:1-San.
[2020-11-07 07:40:21] - TRADE : From Dallas Stars to San Jose Sharks : Alex Ovechkin (77).
[2020-11-06 08:01:37] - TRADE : From Chicago Blackhawks to Dallas Stars : Mark Pysyk (70).
[2020-11-06 08:01:37] - TRADE : From Dallas Stars to Chicago Blackhawks : Erik Gudbranson (70).
[2020-11-01 23:51:28] - T.J. Hensick has been deleted from Dallas Stars.
[2020-11-01 23:51:25] - Stephen Gionta has been deleted from Dallas Stars.
[2020-11-01 23:51:22] - Peter Holland has been deleted from Dallas Stars.
[2020-11-01 23:51:19] - Nikolai Chebykin has been deleted from Dallas Stars.
[2020-11-01 23:51:16] - Nikita Tryamkin has been deleted from Dallas Stars.
[2020-11-01 23:51:13] - Nikita Popugaev has been deleted from Dallas Stars.
[2020-11-01 23:51:08] - Markus Niemelainen has been deleted from Dallas Stars.
[2020-11-01 23:51:04] - Linus Olund has been deleted from Dallas Stars.
[2020-11-01 23:51:01] - Kyle Brodziak has been deleted from Dallas Stars.
[2020-11-01 23:50:57] - Jonathan Dahlen has been deleted from Dallas Stars.
[2020-11-01 23:50:54] - Devante Smith-Pelly has been deleted from Dallas Stars.
[2020-11-01 23:50:52] - David Bernhardt has been deleted from Dallas Stars.
[2020-11-01 23:50:48] - Aaron Luchuk has been deleted from Dallas Stars.



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
67842250324223819543392311022101229329391914010321161021492238389627040451068026810803965892237579280715642305021.74%2233783.41%5993194651.03%927179051.79%661124753.01%17221014372615821373693
682452603242253209444125110221013098324120150103212311112982534126650404711386281508331014947251483784016522395322.18%2303983.04%51041203051.28%977187952.00%692131552.62%18081063381016181443729
882452201077254175794120130104312489354125900034130864411325444770119092748027560931903894211263360417763337823.42%2313783.98%51412305546.22%1231260147.33%623125349.72%2056144618875891050536
98253190114429218310941306011211598871412313000231339538121292517809380101949226790898845912209561472917603288525.91%2764284.78%01504298750.35%1329261750.78%641125950.91%2004139219076091049527
108251140224926617987412860111414995544123801135117843312526646272816086967826550813970836211163062016422856723.51%2334182.40%11603298253.76%1379266351.78%645124651.77%2090147918585901039533
12824723041342852295641221301122137120174125100301214810939113285518803050117728927660967868902243672074916113026521.52%2845082.39%21730308456.10%1581286255.24%744131956.41%2063145318585901040530
13824824034032902365441211401302134116184127100210115612036109290523813550109928627810936913904234665175217163527922.44%2836278.09%01622309552.41%1451278152.18%722132754.41%2093149318495811010514
148232240575921919227411513034331161061041171102326103861710021938460319080656423060748756760212860761917683335015.02%2673487.27%21461280352.12%1391267552.00%630122251.55%2100147718676071043529
158243230338223519639412470225112996334119160113110610061132354086430785726715231278272977071202860366717483605715.83%2945082.99%31457285451.05%1307254751.32%632120652.40%2106148818355901035530
Total Regular Season7344062000252239422332179453836720894014161916120090129936719810601162026113289323998423324060639211578574977967023751782765880047118201456087638715237276258421.14%232139283.11%23128232483651.63%115732241551.63%59901139452.57%1804612310206017360100865127
Playoff
673400000191634220000013943120000067-161935540104411228080756821862801232613.85%270100.00%08216051.25%8918747.59%4911442.98%148863963168312261
751400000915-63120000068-22020000037-4291625110441139043484811547269817211.76%12375.00%09016355.21%7115446.10%236237.10%12083112386633
8945000002522353200000131124130000012111825457001097828901008190271728920838718.42%39976.92%015334344.61%15131248.40%7513057.69%2341632136711659
91257000002526-1725000001014-453200000151231025457001061083750117140104249888124342511.90%37683.78%022842853.27%19536154.02%9319148.69%2962112879015375
10734000001618-241300000512-732100000116561629451007361990736165191607715125312.00%24387.50%011523149.78%10422945.41%5010050.00%170118157499247
1140400000412-82020000037-42020000015-40481200012111503531451263839731300.00%16475.00%06914049.29%6714147.52%244553.33%9161104305224
12125700000434217430000031247514000001218-610438012310015151343801441481463691049623149918.37%43979.07%026647356.24%22841754.68%11421154.03%2962082718515378
13514000001820-231200000141402020000046-22183452000747175047606515450629521523.81%23960.87%08918348.63%9718851.60%328139.51%12387118376030
14514000001116-52020000057-23120000069-321121320005241530534951151413011720315.00%14285.71%07716646.39%9818852.13%357546.67%12187118346031
Total Playoff66234300000170187-1737142300000100106-629920000007081-114617031348334058515921110692693682184456258013392513513.94%2354580.85%01169228751.11%1100217750.53%495100949.06%1602110753472117878442