headshot
Brock
McGinn
College None
Team Carolina Hurricanes
23RW
6'0"Height
187Weight
25Age
0Exp
Brock McGinn's Fantasy Scouting Report

DAILY FANTASY VALUE

Projected for 6.7 FanDuel pts Brock McGinn is the #32 ranked wing. At $3800 he is expected to be the #24 wing. Based on the projection, McGinn is worth $3.5K. There are 2 other options at $3800 (Patrick Maroon, Brett Connolly) and McGinn is ranked #3 among the 3. Instead of McGinn consider these better options at lower salaries: Carl Hagelin (6.8 FP), Wayne Simmonds (8.5 FP), Alexander Steen (9 FP), Brian Boyle (7.5 FP), and Austin Watson (7.8 FP). He is projected for more points than 2 higher priced options: Micheal Ferland (4.7 FP) and Andrei Svechnikov (4.6 FP). Based on salary, he is expected to have 7.3 FPs, a value reached in 25 of 86 games (29%). The combined 'cover percentage' for wings priced at $4.0K and above is 45%.

  • 4/20 VEGAS LINE EXPECTATION: CAR 2.6 (#4 Most Today) @ WAS 2.9 (#2 Most)
  • PROJECTION (POS RANK): 6.76 Fantasy Points (#32), 0.33 points (#34), 0.14 goals (#35), 0.19 assists (#31), 1.81 shots on goal (#22), 0.3 PIM (#29 most), 0.39 blocked shots (#33)

DRAFTKINGS VALUE: Based on a projected 1.9 DraftKings points McGinn is fairly ranked. He is the #15 highest priced left wing ($3100). Based on 4/20 salaries and projected points per dollar, McGinn is worth $3.1K. These are 2 better options at lower salaries: Patrick Maroon (2 FP) and Brian Boyle (2.1 FP). He is projected for more points than 3 higher priced options: Micheal Ferland (1.3 FP), Warren Foegele (1.6 FP), and Andrei Svechnikov (1.3 FP). Based on salary, he is expected to have 1.9 FPs, a value reached in 31 of 86 games (36%). The combined 'cover percentage' for left wing priced at $4.0K and above is 41%.

McGinn 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 number #138 ranked wing and the #386 ranked skater overall. His wing ranking drops to #189 when basing it on average fantasy points. He showed improvement from his start of the season to the middle of his season, but then his production dropped off. In his middle 27 games he averaged 1.2 fantasy points which was higher than his start (0.6 FP) and his ending average (1.1 FP). He is still relatively young, so his late season drop-off should not be an indicator of an overall downward trend heading into next season. Using standard deviation as an indicator of consistency, McGinn is relatively inconsistent capable of very high highs and equally low lows. He averaged 1 FPs, but on any given day his projected ceiling is as high as 10 fantasy points.

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UPWARD STATISTICAL CAREER TREND

He has demonstrated the solid year-to-year improvement that you look for in a younger player. His three season trend show an increase of 100% in fantasy points per game.

WEEKLY FANTASY RECAP

He has averaged 2.9 fantasy points per week and had 14 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 5.7 FD points and 1.6 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 and on FanDuel it was 12.8 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
2018CAR821016260-00002635
2017CAR801614300-02101720
2016CAR5779160-001013
2015CAR213140-000001
Career (4 Seasons)240364076-272204459
YEARTEAMSS%TOISHIFTSPPTOISHTOIPIMMJRMSCMNR
2018CAR1238.114:18170021.05182.42200010
2017CAR15910.114:29165726.9796.0722206
2016CAR749.511:5810173:5244:516003
2015CAR2512.011:083343:187:0810005
Career (4 Seasons)3819.413:32470855:11330:28582024
2018-19 Situational Stats
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Games in October12101-30000195.3162:532412001
Games in November1315630000234.3204:112904002
Games in December13000-50000180167:572454002
Games in January1225770100219.5191:032694002
Games in February13336600001717.6200:372864002
Games in March16314000001915.8208:053132001
Games in April3022200006038:37560000
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Games Won46914232401006813.2694:2610086003
Games Lost36123-140000551.8478:5769214007
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Home Games415611-30000578.8575:178334002
Road Games4151015130100667.6598:0686716008
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Before All-Star Break504101420100814.9726:04104514007
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
Amalie Arena2000000004024:21380000
American Airlines Center1000100002018:06250000
BB&T Center21011000025028:56440000
Barclays Center1000-200003013:39200000
Bell Centre2011200001029:50470000
Bell MTS Place1000000002011:55140000
Bridgestone Arena1000100001016:44220000
Canadian Tire Centre21122010052034:27482001
Capital One Arena2000000002023:16350000
Enterprise Center1000000002013:39190000
Gila River Arena1011100001015:19230000
Honda Center1000100002015:30200000
KeyBank Center110100000110015:16220000
Little Caesars Arena1000-100004014:41220000
Madison Square Garden211220000333.327:21412001
NYCB Live1000000002017:00210000
Nationwide Arena2000-100003027:37392001
PNC Arena415611-30000578.8575:178334002
PPG Paints Arena2011100002022:24340000
Pepsi Center1000000000017:30262001
Prudential Center2000-100003029:04442001
Rogers Arena1000-100001018:07260000
Rogers Place11013000025018:00250000
SAP Center at San Jose1000000002015:13232001
STAPLES Center1000-100005014:49192001
Scotiabank Arena1000100003010:33160000
Scotiabank Saddledome1011100002013:02200000
T-Mobile Arena1000000001017:38242001
TD Garden1000000003013:29200000
United Center1011100001017:42260000
Wells Fargo Center2033200001030:21460000
Xcel Energy Center1000000000012:37180000
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
After All-Star Break326612800004214.3447:196556003
vs Anaheim Ducks2000100003027:51380000
vs Arizona Coyotes2011100003024:45390000
vs Boston Bruins3000000004037:35650000
vs Buffalo Sabres31010000042545:48640000
vs Columbus Blue Jackets4011-100004058:09782001
vs Calgary Flames2011000003027:36410000
vs Chicago Blackhawks2011000005037:41510000
vs Colorado Avalanche2000000000029:45452001
vs Dallas Stars21012000052033:16470000
vs Detroit Red Wings3101-10000714.338:13532001
vs Edmonton Oilers210130000333.334:15490000
vs Florida Panthers31011000042547:11700000
vs Los Angeles Kings2000-200006031:48392001
vs Minnesota Wild2000000000026:06380000
vs Montreal Canadiens3011200001040:21630000
vs New Jersey Devils4011100008060:21892001
vs Nashville Predators2011200003034:03480000
vs New York Islanders4000-3000010060:07860000
vs New York Rangers41121000052055:13804002
vs Ottawa Senators31121010052049:14672001
vs Philadelphia Flyers41454000042555:20860000
vs Pittsburgh Penguins41121000052041:24660000
vs San Jose Sharks210110000714.330:57432001
vs St. Louis Blues2000000004028:57430000
vs Tampa Bay Lightning3000-200005037:26570000
vs Toronto Maple Leafs3011000006043:50630000
vs Vancouver Canucks2000-200002033:03480000
vs Washington Capitals4000-100004044:01660000
vs Winnipeg Jets2000-100002027:10330000
CATEGORYGPGAPTS+/-PPSHGWGTSS%TOISHIFTSPIMMJRMSCMNR
vs Vegas Golden Knights2011200001031:57452001
vs Western Conference Tms3035870000476.4459:106478004
vs Own Division28381120000407.5374:355518004
vs Eastern Conference Tms527111830100769.2714:13105312006
Outside Own Division54781580100838.4798:48114912006
Overall821016261001001238.11173:231700200010
2018 Game Log
OCTOBERSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
10/04vsL2-1000-10030.000015:470:422:18
10/05@W3-100000000.000215:420:131:62
10/07vsW8-5000-10000.000013:220:003:43
10/09vsW5-3000-10010.000014:930:173:78
10/13@W5-400000000.000012:620:102:53
10/14@L3-100000020.000011:920:171:95
10/16@L4-200000010.000010:480:220:45
10/20vsL3-100000000.000012:250:632:78
10/22@W3-1000-10040.000014:680:004:38
10/26vsW4-310110050.200015:730:302:13
10/28vsL2-100000020.000014:000:573:28
10/30vsL3-200000010.000012:170:324:67
NOVEMBERSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
11/02@L4-301110010.000015:320:002:03
11/03@L3-000000010.000217:630:173:20
11/06@L4-100000020.000013:650:123:25
11/08@W4-301110010.000017:700:002:48
11/10vsL4-310100030.333210:580:331:03
11/12vsW3-2000-10040.000019:980:000:00
11/17vsL4-100000010.000015:030:002:72
11/18vsW2-101110020.000017:180:152:18
11/21vsW5-201110020.000017:620:001:80
11/23vsW4-100000020.000018:250:151:22
11/24@L4-1000-20030.000013:650:080:52
11/27@W2-101120000.000015:230:004:47
11/30vsL2-100000010.000012:350:003:07
DECEMBERSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
12/02@L2-0000-10050.000214:820:003:47
12/05@L5-100000020.000215:220:001:87
12/07@W4-100010020.000015:500:003:12
12/11vsL4-1000-20010.000015:670:003:22
12/13@L6-400000010.000014:600:004:32
12/14vsL6-5000-10000.00009:950:001:52
12/16vsW3-000000020.00009:430:601:82
12/20vsL4-100000000.000012:950:000:20
12/22vsL3-0000-10010.000010:120:001:22
12/23vsW5-300000000.000011:930:003:98
12/27@L3-100000010.000010:720:673:25
12/29@L2-0000-10010.000014:450:702:83
12/31vsW3-100000020.000012:600:001:40
JANUARYSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
01/03@W5-301120010.000016:380:002:53
01/04vsW4-201100000.000015:500:000:58
01/06@W5-411220140.250216:520:002:35
01/08@W4-300000020.000017:000:001:38
01/10@L3-100000030.000013:870:002:43
01/11vsW4-300000020.000016:750:002:97
01/13vsW6-301110020.000017:320:872:40
01/15@L6-200000020.000213:780:001:07
01/18vsL4-1000-10000.000014:780:001:05
01/20@W7-410130020.500018:000:723:27
01/22@L3-201110020.000013:030:002:10
01/23@W5-2000-10010.000018:123:422:37
FEBRUARYSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
02/01vsW5-201120000.000014:320:001:57
02/03vsL4-3000-10010.000014:570:003:85
02/05@W4-001120020.000013:100:001:45
02/07@W6-510100011.000015:270:002:10
02/08@W3-011220011.000013:570:002:22
02/10@L3-200000020.000214:621:674:00
02/12@W4-100000010.000017:930:003:03
02/15vsW3-100000010.000016:250:003:45
02/16vsW3-010110030.333015:170:002:22
02/19vsL2-100000020.000214:650:003:28
02/21@W4-300000000.000016:102:752:18
02/23@W3-000010020.000018:100:033:10
02/26vsW6-1000-10010.000016:981:281:25
MARCHSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
03/01vsW5-200000020.000015:300:001:52
03/02@W4-310110020.500012:830:001:40
03/05@L4-300000030.000013:482:971:13
03/08vsL8-1000-10000.000015:250:070:97
03/09@W5-300010010.000016:730:002:47
03/11@W3-000000000.000217:500:001:92
03/15@L3-0000-10030.000012:200:100:23
03/16vsW4-200000010.000013:780:302:07
03/19vsW3-210110020.50008:880:000:85
03/21vsL6-3000-20010.000013:080:422:83
03/23vsW5-100000000.000013:480:003:27
03/24vsW2-100000000.000010:520:450:63
03/26@L4-100000010.000012:550:002:07
03/28vsL3-200000020.000010:800:001:33
03/30vsW5-211220011.000012:380:002:60
03/31@L3-1000-10000.00009:300:030:00
APRILSCORINGPENALTIESTIME ON ICE
DATETEAMOPPRESULTGAPTS+/-PPGSHGSOGSPCTPIMTOIPPSH
04/02@W4-100010030.000010:550:002:52
04/04vsW3-100010030.000014:100:002:20
04/06@W4-302200000.000013:970:000:85