headshot
Marcus
Pettersson
College None
Team Pittsburgh Penguins
28D
6'3"Height
177Weight
22Age
0Exp
Marcus Pettersson's Fantasy Scouting Report

REST OF SEASON VALUE

His latest projection based rank among defensemen is #68. As of 3/19, Marcus Pettersson is the #87 ranked defenseman based on ownership percentage (16%). With a lower market rank than projection rank, consider Marcus Pettersson to be undervalued. There could be a nice opportunity to acquire him before the market realizes he is undervalued. Owners should hold onto him and probably decline offers unless there is an even better defenseman option available. Of the 3 defensemen (Nikita Zadorov, Olli Maatta) with this market rank (16% Owned), he is the top rated one. He is projected for 11 fantasy points in 9 remaining games. Based on average FPs, he is even better with the #54 highest average. The market ranks Marcus Pettersson behind Chara and above Zadorov but the projections rank Marcus Pettersson over Chara.

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He has a relatively high shooting percentage.

WEEKLY FANTASY VALUE

When compared to other defensemen in week 26 these are 5 better options at lower start percentages: Adam McQuaid (3.2 FP), David Savard (3.6 FP), Niklas Kronwall (3.4 FP), Marco Scandella (3.4 FP), and Mathew Dumba (4 FP). Cam Fowler (2.3 FP), Hampus Lindholm (2.7 FP), Erik Johnson (1.8 FP), Alex Goligoski (3 FP), and Nick Leddy (2.7 FP) are all projected for fewer points than Pettersson but are starting in more leagues. He is starting in just 11% of leagues and with a projected defenseman rank of #92 in week 26 it makes sense that he is not starting in many leagues. His per game projected FP average is 1.1 which is less than his actual per game average (1.3).

He is projected for 3.13 fantasy points in week 26 (#92 D) in 3 games.


  • Based on 3/19 start percentages, Marcus Pettersson is valued behind Goligoski and above Zadorov but the projections rank Marcus Pettersson over Goligoski in week 26.
  • Marcus Pettersson last five game log with fantasy points (CBS, FD, DK) and statline.

    DAILY FANTASY VALUE

    FANDUEL VALUE (3/19): Pettersson is overrated on FanDuel with a projected 7.1 FD pts (#74 among defensemen). At $3700 he is expected to be the #61 defenseman. At his projected points, he is worth a salary of $3.5K. There are many other options (12) at $3700 and Pettersson is ranked #10 among the 13. These are 5 better options at lower salaries: Sami Vatanen (9.2 FP), David Savard (7.5 FP), Michael Del Zotto (7.1 FP), Ian Cole (7.8 FP), and Scott Mayfield (8.3 FP). Torey Krug (6.3 FP), Niklas Kronwall (6.6 FP), Johnny Boychuk (4.6 FP), Jake Gardiner (4.7 FP), and Mike Reilly (3.2 FP) are all projected for fewer points than Pettersson but have higher salaries. Based on salary, he is expected to have 7.4 FPs, a value reached in 23 of 75 games (31%). The combined 'cover percentage' for defensemen priced at $4.0K and above is 42%.

    DRAFTKINGS VALUE: Projected for 2 DraftKings pts Pettersson is the #74 ranked defenseman. He is the #71 highest priced defenseman ($3400). At his projected points, he is worth a salary of $3.1K (expected pts per $ is calculated daily based on the average of healthy starters). T.J. Brodie is also priced at $3400 and is a better option at this price. Instead of Pettersson consider these better options at lower salaries: David Savard (2.2 FP), Adam Larsson (2.2 FP), Michael Del Zotto (2.1 FP), Roman Polak (2 FP), and Zdeno Chara (2.2 FP). Torey Krug (1.7 FP), Johnny Boychuk (1.4 FP), Carl Gunnarsson (2 FP), Jake Gardiner (1.3 FP), and Brett Kulak (1.8 FP) are all projected for fewer points than Pettersson but have higher salaries. Based on salary, he is expected to have 2.2 FPs, a value reached in 22 of 75 games (29%). The combined 'cover percentage' for defenseman priced at $4.0K and above is 39%.

    Pettersson is NOT in the SportsLine DraftKings optimal lineup or the FanDuel optimal lineup which are based on the computer model's projection. SportsLine.com also offers premium optimal lineups from Mike McClure, a professional DFS player who has over $1 million in career winnings. He uses his own proprietary model to find great DFS values and often differs from the computer in how a player is projected to play on a daily basis.

    SEASON FANTASY RECAP AND TREND

    Marcus Pettersson was not a fantasy star but was worth starting most weeks. He was the number #62 ranked defender and the #249 ranked skater overall. His value was boosted by staying healthy (75 GP). Based on average fantasy points he is the #92 defender. He trended up as the season went on. In his first 24 games he averaged 0.9 FPs. He improved to 1.5 in the next 26 games. In his final stretch of games he improved to 1.6 per game. Given his youth, he should be able to continue showing improvement next season. His standard deviation divided by his average is 1.9 which is close to the league ratio. He averaged 1.3 FPs, but on any given day his projected ceiling is as high as 10 fantasy points.

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    STATISTICAL IMPROVEMENT OVER LAST SEASON

    As a young player he improved as you would like. His fantasy average improved by 44%.

    WEEKLY FANTASY RECAP

    He has averaged 4.4 fantasy points per week and had 10 weeks where he came up short (below 80% of average) and had 7 weeks where he was +20% above average.

    DAILY FANTASY SEASON RECAP

    He averaged 6.7 FD points and 1.9 DK points per game. We looked at all of his games that were between the 10th and 90th percentile where the 10th percentile is his floor and the 90th is his ceiling. When he was bad in DFS, he was really bad with a floor of zero points. He had a relatively high ceiling. On Draftkings it was 3.5 and on FanDuel it was 13.3 FPs. He has had more bad FanDuel games (below average by 20%) than good games (20% above average), and the same was true on DraftKings. We are only including games where they were in the daily fantasy slate and played.

    Career Stats
    YEARTEAMGPGAPTS+/-PPGWGTFWFL
    2018PIT75220220-010010
    2017ANA221340-000000
    Career (2 Seasons)97323261910010
    YEARTEAMSS%TOISHIFTSPPTOISHTOIPIMMJRMSCMNR
    2018PIT722.816:27174160.3863.60644117
    2017ANA166.313:3637116.6312.776003
    Career (2 Seasons)883.415:48211277:0176:22704120
    2018-19 Situational Stats
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    Games in October120110000040151:2223311103
    Games in November1405540000100213:003176003
    Games in December1501130000180237:213318004
    Games in January1108840000130192:5026010200
    Games in February13224310001513.3229:4732425115
    Games in March1003300000120209:402764002
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    Games Won4311415271000362.8706:25981251010
    Games Lost32167-130000362.8527:3576039317
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    Home Games3711112141000362.8576:4480228214
    Road Games38191000000362.8657:16939362013
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    Before All-Star Break5201515110000450794:331141353010
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    Amalie Arena2011000002041:33590000
    American Airlines Center2000-100001026:40505100
    BB&T Center21121000042540:19554002
    Bell Centre1011300001020:07312001
    Bridgestone Arena1011000001020:14310000
    Canadian Tire Centre1000000003011:27160000
    Capital One Arena2000-100001031:04472001
    Enterprise Center2000000002029:08444002
    Gila River Arena2011000001031:53430000
    Honda Center140334000070183:362654002
    KeyBank Center2000-300002048:13602001
    Lincoln Financial Field1000-100000022:41340000
    Madison Square Garden1011200001017:25210000
    NYCB Live1000100000015:55220000
    Nationwide Arena2000100002045:58602001
    PNC Arena2000100002032:57522001
    PPG Paints Arena241910121000323.1411:1356024212
    Prudential Center1011200001017:27220000
    SAP Center at San Jose2000-300000032:42470000
    STAPLES Center2011-100004032:05475100
    Scotiabank Arena1000000000016:56264002
    T-Mobile Arena3000-300002045:48672001
    United Center2000-100003027:16392001
    Wells Fargo Center1000100000016:51230000
    Xcel Energy Center1000000000014:32200000
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    After All-Star Break2325731000277.4439:2760029117
    vs Anaheim Ducks2011100006036:12490000
    vs Arizona Coyotes3022100001043:54620000
    vs Boston Bruins2011200003035:12500000
    vs Buffalo Sabres3000-300002060:58792001
    vs Carolina Hurricanes3000000004049:09754002
    vs Columbus Blue Jackets4000100003077:241062001
    vs Calgary Flames2000000001023:18377101
    vs Chicago Blackhawks3011000004042:40602001
    vs Colorado Avalanche2000000001027:28400000
    vs Dallas Stars2000-100001026:40505100
    vs Detroit Red Wings2011100001028:18340000
    vs Edmonton Oilers2011100001032:39430000
    vs Florida Panthers41344000042573:351039102
    vs Los Angeles Kings3011-100005049:23705100
    vs Minnesota Wild2000000001030:45420000
    vs Montreal Canadiens1011300001020:07312001
    vs New Jersey Devils2022400005037:22480000
    vs Nashville Predators2011000001029:48450000
    vs New York Islanders3000200003046:05632001
    vs New York Rangers31232100042545:33570000
    vs Ottawa Senators2000100006027:15390000
    vs Philadelphia Flyers4011100001074:101052001
    vs San Jose Sharks3000-300001048:356810010
    vs St. Louis Blues3000-100004047:08704002
    vs Tampa Bay Lightning3011000002059:49850000
    vs Toronto Maple Leafs2000100002031:41474002
    vs Vancouver Canucks1000100000013:14200000
    vs Washington Capitals3000-200002051:48722001
    vs Winnipeg Jets1011200000018:02240000
    CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
    vs Vegas Golden Knights3000-300002045:48672001
    vs Western Conference Tms34088-30000290515:3474735315
    vs Own Division25189131000234.3422:4158414007
    vs Eastern Conference Tms4121214171000434.7718:26994291012
    Outside Own Division501121310000492811:191157504110
    Overall7522022141000722.81234:001741644117
    2018 Game Log
    OCTOBERSCORINGPENALTIESTIME ON ICE
    DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
    10/03@W5-200000000.000014:220:001:67
    10/06@W1-000000010.000014:100:000:00
    10/08vsW3-200000000.000011:380:120:65
    10/10vsL3-201110000.000012:020:000:42
    10/13@L5-300000000.000011:450:000:57
    10/14@W3-200000000.000210:920:000:00
    10/17vsW4-100000010.000013:980:001:58
    10/20@L3-100000000.000012:720:001:35
    10/21vsL4-200000000.000012:750:130:60
    10/23@L3-100000010.000210:680:000:00
    10/25@L5-2000-10010.000515:221:072:10
    10/30vsL3-200000000.000211:930:000:00
    NOVEMBERSCORINGPENALTIESTIME ON ICE
    DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
    11/01vsL3-2000-10000.000012:350:002:20
    11/04vsW3-200000000.000012:420:002:45
    11/06@L4-101110010.000015:650:000:00
    11/07vsW3-200000010.000210:580:000:00
    11/12vsW2-100000000.00009:570:000:00
    11/14@L5-000000010.000214:880:000:35
    11/16vsL2-100010020.000014:750:001:82
    11/18vsL4-3000-10000.000013:570:000:90
    11/21vsW4-300010000.000013:230:000:35
    11/23vsW2-101110000.000016:980:001:48
    11/25@L5-201100010.000020:232:022:07
    11/27@W3-101110000.000018:600:002:23
    11/28@W3-201110030.000221:820:001:47
    11/30@W2-100000010.000018:370:235:57
    DECEMBERSCORINGPENALTIESTIME ON ICE
    DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
    12/02@W6-500000010.000014:170:001:98
    12/04vsW6-300010010.000013:900:000:00
    12/06vsW6-200010020.000216:180:100:00
    12/08@L2-100000030.000011:450:480:00
    12/10@W2-100010000.000015:922:400:00
    12/12@L6-3000-10020.000016:581:400:00
    12/14vsW5-300010000.000016:370:530:00
    12/15vsW4-300000010.000017:300:770:73
    12/17vsL4-2000-10030.000018:121:770:00
    12/19@W2-1000-10000.000216:901:600:97
    12/20vsW2-100000010.000016:220:720:00
    12/22@W3-000010010.000214:580:000:00
    12/27vsW5-201110010.000016:920:920:00
    12/29@W6-100000020.000218:220:370:00
    12/31@W3-200000000.000014:530:000:00
    JANUARYSCORINGPENALTIESTIME ON ICE
    DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
    01/02@W7-201120010.000017:420:000:62
    01/04vsW4-001120000.000018:031:070:00
    01/06vsL5-301110010.000015:400:730:00
    01/08vsW5-102230000.000514:821:381:20
    01/11@W7-401120030.000018:081:380:10
    01/12@L5-2000-20030.000516:431:280:00
    01/15@L5-2000-30000.000018:480:850:67
    01/18@W3-201100000.000017:780:850:00
    01/19@L7-3000-30010.000018:201:181:48
    01/28vsL6-301120040.000019:922:802:97
    01/30vsW4-200000000.000018:271:470:00
    FEBRUARYSCORINGPENALTIESTIME ON ICE
    DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
    02/01vsW5-300010030.000015:800:770:00
    02/02@L3-200000000.000416:930:000:00
    02/05vsL4-0000-10020.000216:200:250:00
    02/07@L3-210100011.000218:501:280:05
    02/09@L5-4000-10020.000022:950:050:43
    02/11@W4-100010000.000016:851:071:20
    02/13vsW3-100000010.000015:670:000:00
    02/16vsL5-400000000.000512:720:030:00
    02/17vsW6-511211030.333015:781:600:00
    02/19@W4-301120010.000017:451:630:00
    02/21vsL4-000000010.0001015:881:280:00
    02/23@L4-3000-10000.000022:680:001:85
    02/26@W5-200010010.000222:371:450:83
    MARCHSCORINGPENALTIESTIME ON ICE
    DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
    03/01@L4-3000-30020.000024:631:781:45
    03/02@W5-101130010.000220:121:002:28
    03/05vsW3-200000000.000018:450:672:38
    03/07vsW3-000000010.000019:021:822:23
    03/09@L4-100000010.000023:603:632:38
    03/10vsW4-201110030.000018:832:982:73
    03/12vsW5-3000-10010.000020:733:120:92
    03/14@W5-000000000.000223:582:570:85
    03/16vsL5-1000-10020.000018:003:271:28
    03/17vsL2-101110010.000022:702:522:18