headshot
Tanner
Pearson
College None
Team Vancouver Canucks
70LW
6'1"Height
201Weight
26Age
0Exp
Tanner Pearson's Fantasy Scouting Report

DAILY FANTASY VALUE

Projected for 7.2 FanDuel pts Tanner Pearson is the #133 ranked wing. He is the #65 highest priced wing ($4700). At his projected points, he is worth a salary of $3.5K (expected pts per $ is calculated daily based on the average of healthy starters). There are 4 other options at $4700 (Alex Galchenyuk, Bobby Ryan, Jonathan Drouin, Yanni Gourde) and Pearson is ranked #5 among the 5. Instead of Pearson consider these better options at lower salaries: Carl Hagelin (7.3 FP), Patrick Maroon (7.8 FP), Anthony Duclair (8.3 FP), Brett Connolly (9.1 FP), and Micheal Ferland (11.9 FP). Based on salary, he is expected to have 9.7 FPs, a value reached in 19 of 78 games (24%). The combined 'cover percentage' for wings priced at $4.0K and above is 41%.

  • 4/4 VEGAS LINE EXPECTATION: VAN 2.3 (#24 Most Today) @ NSH 3.2 (#8 Most)
  • PROJECTION (POS RANK): 7.21 Fantasy Points (#133), 0.34 points (#147), 0.19 goals (#116), 0.14 assists (#174), 1.74 shots on goal (#113), 0.3 PIM (#108 most), 0.6 blocked shots (#54)

DRAFTKINGS VALUE: Pearson is overrated on DraftKings with a projected 2 DK pts (#63 among left wings). At $3100 he is expected to be the #58 left wing. Based on the projection, Pearson is worth $3.2K. There are 2 other options at $3100 (Bryan Little, Colton Sissons) and Pearson is ranked #3 among the 3. These are 5 better options at lower salaries: Carl Hagelin (2.1 FP), Patrick Maroon (2.1 FP), Brian Boyle (2.3 FP), Adam Johnson (2.4 FP), and Jesperi Kotkaniemi (2.1 FP). He is projected for more points than 2 higher priced options: Zachary Sanford (2 FP) and Andreas Johnsson (1.3 FP). Based on salary, he is expected to have 2 FPs, a value reached in 29 of 78 games (37%). The combined 'cover percentage' for left wing priced at $4.0K and above is 40%.

Pearson 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

He is the #479 ranked fantasy skater this season and the #181 wing. His wing ranking drops to #237 when basing it on average fantasy points. He steadily increased his fantasy average as the season went on. He averaged 0.2 FPs in his first 25 games, 0.8 fantasy points in his next 25 and 1.2 FP after that. Using standard deviation as an indicator of consistency, Pearson is relatively inconsistent capable of very high highs and equally low lows. He averaged 0.7 FPs, but on any given day his projected ceiling is as high as 10 fantasy points.

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DOWNWARD STATISTICAL CAREER TREND

He is getting less productive when, based on age, he should be reaching his peak. His three season trend shows a 53% decline in fantasy points per game.

WEEKLY FANTASY RECAP

Out of 26 fantasy weeks, he was +20% above his weekly average of 2.2 FPs in 13 of them. He had 13 bad weeks where he was 20% below average.

DAILY FANTASY SEASON RECAP

His FanDuel average was 7.2 points and on DraftKings it was 2 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 5 and on FanDuel it was 18.4 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
2018VAN80189270-0310512
2017LA821525400-02403637
2016LA802420440-03501014
2015LA791521360-0240817
2014LA42124160-013053
2013LA253470-011011
Career (6 Seasons)388878317028121806584
YEARTEAMSS%TOISHIFTSPPTOISHTOIPIMMJRMSCMNR
2018VAN14712.214:03162599.0821.42251010
2017LA1808.315:581858147.8384.12271011
2016LA18712.816:181784192:3787:0913104
2015LA13710.914:27162576:4793:5818009
2014LA6817.613:1775363:3719:0514007
2013LA319.710:4838815:522:598004
Career (6 Seasons)75011.614:428033595:48308:431053045
2018-19 Situational Stats
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Games in October11011-50000180157:592316003
Games in November14314-500002114.3193:232902001
Games in December15134-10000362.8202:482840000
Games in January11415-210002119147:512082001
Games in February12202-100001315.4139:0820213104
Games in March14426-200102615.4231:023362001
Games in April3415120001233.351:54740000
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Games Won3711516310107015.7514:217548004
Games Lost437411-182000779.1609:4487117106
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Home Games4311617-300108512.9607:4088021108
Road Games377310-1230006211.3516:257454002
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Before All-Star Break518614-131000968.3702:01101310005
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Amalie Arena11011000025014:28230000
American Airlines Center2000-100001029:10480000
BB&T Center100000000008:48120000
Bell Centre1000000001014:07232001
Bell MTS Place2000-200005030:03390000
Bridgestone Arena111201000333.318:10270000
Canadian Tire Centre3000-100006043:09590000
Capital One Arena1000000001011:47170000
Enterprise Center2112-11000333.331:40410000
Gila River Arena210110000333.329:45440000
Honda Center120210000210014:37190000
Lincoln Financial Field100000000107:53120000
Madison Square Garden1101-1100025013:49180000
NYCB Live1000000002015:14220000
PNC Arena1000000002010:01170000
PPG Paints Arena21538200004211.9278:4140113104
Pepsi Center2000-200004031:39442001
Prudential Center1000-10000108:25150000
Rogers Arena11628200102821.4187:412642001
Rogers Place1000000001013:56200000
SAP Center at San Jose1011000002014:08200000
STAPLES Center12011-70000170157:092366003
Scotiabank Arena2000-100004029:36410000
T-Mobile Arena2000-300004027:03460000
TD Garden1000000001017:09230000
United Center2000-100004029:58460000
Wells Fargo Center100000000209:03110000
Xcel Energy Center2000-100003026:56370000
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
After All-Star Break2910313-220105119.6422:0461215105
vs Anaheim Ducks4303300001127.359:07810000
vs Arizona Coyotes210110000333.329:45440000
vs Boston Bruins2000000003030:15410000
vs Buffalo Sabres21120000052029:55460000
vs Carolina Hurricanes2000-100002024:31372001
vs Columbus Blue Jackets3101-1000042545:02680000
vs Calgary Flames2000-100003026:42390000
vs Chicago Blackhawks3000-100008043:46652001
vs Colorado Avalanche3011000005044:02642001
vs Dallas Stars4101-10000333.362:481000000
vs Detroit Red Wings2011100006027:29420000
vs Edmonton Oilers2000-100001027:47392001
vs Florida Panthers210100000110022:41300000
vs Los Angeles Kings310100000101046:22640000
vs Minnesota Wild4000-200007050:46710000
vs Montreal Canadiens1000000001014:07232001
vs New Jersey Devils310100000714.338:46570000
vs Nashville Predators111201000333.318:10270000
vs New York Islanders3000-400003043:28600000
vs New York Rangers311201000812.542:13614002
vs Ottawa Senators521310010102072:431000000
vs Philadelphia Flyers4000-300007044:49610000
vs San Jose Sharks4224300001414.353:56789102
vs St. Louis Blues2112-11000333.331:40410000
vs Tampa Bay Lightning31012000025040:16630000
vs Toronto Maple Leafs4000-200005058:47842001
vs Washington Capitals1000000001011:47170000
vs Winnipeg Jets3000-200007040:19550000
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
vs Vegas Golden Knights3000-600004042:06670000
vs Western Conference Tms4010515-820008212.2577:1683515105
vs Own Division23617-210005012322:064654002
vs Eastern Conference Tms408412-710106512.3546:4979010005
Outside Own Division5712820-1320109712.4801:59116021108
Overall8018927-15301014712.21124:051625251010
2018 Game Log
OCTOBERSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
10/05vsL3-201110030.000215:882:950:00
10/07vsW4-200000010.000013:031:700:00
10/09@L2-100000020.000015:820:880:00
10/11@W3-000000010.000214:122:070:00
10/13@L5-100000010.000014:533:050:00
10/15@L4-1000-10030.000016:502:450:00
10/18vsL7-2000-40000.000012:201:680:72
10/20vsL5-100000010.000013:401:580:00
10/23@L4-200000010.000012:901:480:00
10/25@L4-1000-10010.000014:432:830:00
10/28vsW4-300000040.000215:170:830:00
NOVEMBERSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
11/01vsL5-2000-20000.000012:321:170:00
11/03vsW4-100000000.000013:872:920:00
11/06vsW4-100000020.000011:430:000:00
11/08vsL3-100000020.000010:801:470:00
11/10vsL1-0000-10020.000012:331:780:00
11/13vsL5-1000-10000.000210:871:720:00
11/15vsL4-300010000.000013:721:630:00
11/17@L6-400000010.000013:750:780:00
11/19vsL5-411200040.250016:520:950:10
11/21vsW5-110110011.000013:750:830:00
11/23@L2-100000010.000017:150:520:00
11/24vsW4-210110030.333015:520:680:00
11/27@W4-3000-20030.000014:230:000:00
11/28@L6-3000-20020.000017:131:130:00
DECEMBERSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
12/01vsL4-2000-10040.000015:570:920:00
12/04vsW6-301120010.000012:380:000:00
12/06vsW6-200000010.000016:031:100:00
12/08@L2-1000-10040.000014:870:900:00
12/10@W2-100000020.000015:232:180:00
12/12@L6-3000-10020.000015:331:430:00
12/14vsW5-300000020.000013:100:530:00
12/15vsW4-310110040.250011:700:770:00
12/17vsL4-2000-10030.000011:882:120:00
12/19@W2-100000010.000011:781:670:00
12/20vsW2-1000-10020.000013:030:820:00
12/22@W3-000000020.000010:020:000:00
12/27vsW5-201110050.000014:450:920:00
12/29@W6-101100010.000014:920:600:00
12/31@W3-200000020.000012:500:000:00
JANUARYSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
01/02@W7-2101-11020.500013:820:530:00
01/04vsW4-000000020.000010:271:070:00
01/06vsL5-300000040.000213:801:120:00
01/08vsW5-110100011.000013:881:580:00
01/11@W7-420210021.000014:620:870:00
01/12@L5-200000020.000015:851:880:15
01/15@L5-201100020.000014:130:820:00
01/18@W3-200000010.000014:400:850:00
01/19@L7-3000-20020.000011:550:000:00
01/28vsL6-300000030.000013:452:350:00
01/30vsW4-200000000.000012:081:280:00
FEBRUARYSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
02/01vsW5-300000000.000012:271:570:00
02/02@L3-200000010.000013:100:000:00
02/05vsL4-0000-10000.000214:501:000:00
02/07@L3-200000000.00008:801:620:00
02/09@L5-410110020.500014:470:050:00
02/11@W4-100000020.00009:050:000:00
02/13vsW3-1000-10000.000213:850:000:00
02/19@W4-3000-10010.00008:420:000:00
02/21vsL4-000000020.00076:930:000:95
02/23@L4-300000010.00007:880:000:00
02/27@L3-200000020.000214:523:620:00
02/28@L5-210110020.500015:353:232:37
MARCHSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
03/03@L3-0000-10020.000015:500:001:78
03/06vsW3-200000010.000018:323:130:77
03/07@L3-200000010.000013:931:270:00
03/09vsL6-2000-30000.000015:050:002:03
03/13vsW4-101110020.000213:233:780:00
03/15vsL3-210110030.333016:903:230:62
03/17@W3-2000-10000.000016:270:780:00
03/18@W3-200000020.000014:630:000:00
03/20vsW7-421320040.500017:301:050:80
03/23vsL3-100000010.000014:370:330:00
03/24vsL5-0000-20010.000015:653:320:88
03/26vsL5-410130040.250021:180:820:80
03/28vsW3-2000-10040.000018:820:002:23
03/30vsW3-2000-10010.000019:881:972:05
APRILSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
04/02vsW4-220220070.286016:981:502:70
04/04@L3-211201030.333018:171:621:82
04/06@L3-2101-11020.500016:751:800:65