Scatterbrained: Week 16 Tips & Trends

Scatterbrained: Week 16 Tips & Trends

Scattered Thinking About Week 15

Winterizing

Here we are, staring into the abyss of another fantasy football offseason. If you didn’t make any Finals in your leagues, let me just say that I’m sorry and that I’m here to show solidarity alongside you.

Why is that? It’s pretty simple – I didn’t make any Finals, either. If my team wasn’t derailed by the paucity of stud scoring in Week 14, it certainly was derailed by simply having the wrong guys in Week 15. It happens.

So, what to do? For starters, I’m going to simply enjoy NFL football this weekend. It’s an odd feeling having no real investment in the action (outside of the analyses I perform), but after a five-month grind that included the preseason, I’m ready for a change of pace. I’m sure all of you are, as well, unless you win your leagues. That’s a feeling you don’t want to go away.

What do I have in store for the offseason? Quite a few projects, actually:

  • DAAM SRS Expansion – Right now, DAAM only captures teams by position. This is fine in many regards, but the most apparent shortcoming is that it does not discern which players benefit or struggle the most. This is of the most interest with Wide Receivers and running Quarterbacks, so I plan to focus in those areas first.
  • Game Script Split Overhaul – In general, I’m happy with what the Game Script Split has become.

    For something thrown together hastily early in the season, it has served its purpose relatively well. It needs an overhaul, though. I think the data can be simplified, and I’ve received some excellent suggestions in that regard. I’d like to reduce the amount of numbers and have the bars / points / lines do the talking.

  • Air Yard Overlay Cleanup – Like the GSS plots, the Air Yard Overlay was created quickly to serve a purpose. It, too, is in dire need of simplification for better consumption. The original intent was to provide a reasonable facsimile of NextGenStats that NFL Research has started to slowly provide. There are some underlying issues with the AYO, however. First and foremost, there needs to be a better system in place for a consumer to create custom plots. Behind that, I’d like to focus more on WR/CB matchups if possible.
  • New Widgets – Quite a few data manipulation and visualization ideas sprang to mind throughout the season, and I intend to work on those as time allows. Even in its rudimentary form, the play-by-play data provided by NFL.com tells incredible stories… we just have to go dig them out ourselves.

As always, I’m interested in feedback, so if you have ideas outside of what I discussed above, let me know!


Hyperfocus on Week 16

First, an important note: If you’re a frequent reader, you recognize I generate a massive amount of visualizations and data each week. Hopefully you gain some benefit from it (as I have) and can exercise it in your weekly decision-making.

My intent is to provide as much data as possible, in various formats, for you to use in your own way. Ideally, you’ll be able to sift through what is presented and make your own informed decisions.

While I will offer up my suggestions based on how I read the data, it is by no means the best way to do so. At the end of the day, trust your judgment (what your eyes, brain, and experience whisper to you) and make the best choice for your teams.

Now, on with the data dump!

Week 16 Matchup Data

Below, you see all the games on the Week 16 slate organized into their own folders. Each of these folders have been shared (via Google Drive) for you to peruse for DAAM, GSS, and AYO data.

Week 16 FantasyADHD Matchups on Google Drive

Here you will find every GSS and AYO plot for that particular matchup for comparison. Hopefully this will help you perform an apples-to-apples comparison for each game and reduce the hunt for a specific plot to a minimum.

DAAM SRS & Adjusted Projections

Below are the DAAM SRS positional tables for Week 16 matchups. These are sortable. I’ve also shared the full DAAM seasonal spreadsheet for anyone who wishes to look at different slices of data. Let me know what you discover, or what you feel can improve. Like I mentioned above, I’m only presenting the data; it’s up to you to interpret and leverage.

DAAM SRS on Google Sheets

And now, on to the players I find most interesting this week…


QBs

PlayerDefenseComment (adjusted data from last six games - DK points)
Tyrod Taylorvs MIA
  • MIA allows 4th most adjusted points to QB (20.39) & 6th most Adjusted Gain (16.3%)
  • BUF have played slightly weaker schedule than MIA
  • MIA vulnerable to running QB, giving up above expectation to TEN, BUF, SF already this season
Matt Barkleyvs WAS
  • WAS allows most adjusted points to QB (23.40) & most Adjusted Gain (38.0%) this week
  • WAS also allows highest floor to QB (14.19) by a wide margin
Matt Staffordat DAL
  • DAL may decide to throttle back a bit with #1 seed in hand
  • Receives a 12.0% Adjusted Gain boost from DAL defense
  • DAL allows 5th-highest floor at QB (11.90)
Russell Wilsonvs ARI
  • Gut feel is that this is a boom / bust play, GPP only
  • ARI allow 22.10 adjusted points at QB (2nd worst) & 11.56 adjusted floor (6th worst)
  • Wilson only slightly above average SRS (0.781) against average schedule (0.219)
  • Carson Palmer an interesting pivot play if you expect this game to erupt
Aaron Rodgersvs MIN
  • MIN allowing slightly below adjusted average to QB (16.32)
  • Rodgers is #1 in adjusted points (24.14)
  • Expecting MIN offense to struggle, giving GB more possessions / plays
offdefhmqb.exprk.expqb.adj.oqb.adj.dqb.gainexp.notdrk.notdtd.depoff.notddef.notdqb.sos.oqb.sos.dqb.srs.oqb.srs.d
17.3517.3917.31-0.3%9.8942.3%9.919.860.0840.0840.0000.000
LASF111.86299.7220.0122.1%7.732534.8%5.5512.410.674-0.182-7.854-2.021
NYJNE013.442612.2818.229.5%7.262946.0%6.5510.400.2770.100-5.385-1.763
HOUCIN110.413012.8415.04-18.9%6.083141.6%7.518.510.5810.068-3.5632.038
MINGB015.392413.1819.2616.7%10.171433.9%9.8910.160.8251.210-4.391-4.512
CLESD112.992713.5017.02-3.8%8.082437.8%8.949.030.9110.660-4.359-1.325
OAKIND19.933113.7213.55-27.7%6.393035.7%8.577.650.8370.172-2.8132.379
KCDEN19.123213.7312.69-33.6%7.522817.6%8.868.530.129-0.100-2.6304.760
JACTEN117.611714.7720.4819.3%8.482251.9%7.3111.250.5511.162-2.222-6.351
CHIWAS120.42814.8023.4038.0%11.94841.5%7.9414.190.5290.703-2.716-7.470
PHINYG112.812815.1615.00-15.5%9.051829.3%9.439.520.661-0.946-2.0164.738
NYGPHI018.231415.7119.6816.0%8.402353.9%6.0811.920.4580.635-2.705-2.562
TBNO015.552316.1616.72-3.8%10.801230.6%10.3710.320.6161.331-1.163-2.036
PITBAL115.992116.2017.19-1.3%9.012043.6%9.589.310.1260.546-1.348-1.598
DETDAL018.211516.2619.1612.0%12.91529.1%10.8511.900.3460.025-1.730-1.592
DENKC017.032016.8717.480.9%13.63320.0%11.3712.110.3710.836-0.194-1.914
CINHOU017.141816.9117.551.3%7.602755.6%9.378.18-0.2230.514-0.539-1.164
CARATL115.322517.2615.31-11.3%8.922141.8%9.459.350.681-0.449-0.4453.544
BUFMIA120.76717.8520.3916.3%10.711348.4%10.5310.04-0.722-0.547-0.014-2.227
SDCLE017.921618.4716.88-3.0%6.073266.1%7.088.79-0.154-0.6941.8772.493
SFLA021.43519.0919.6712.3%11.181147.8%12.019.20-0.2260.4170.970-1.924
DALDET115.602219.2213.45-18.8%9.431639.6%11.367.78-0.012-0.7121.5285.513
SEAARI124.38119.7522.1023.5%12.97446.8%11.3111.560.219-0.3180.781-3.823
INDOAK019.011219.7916.73-3.9%9.211751.5%10.248.93-0.7660.4072.8370.152
ARISEA019.571019.8517.21-1.4%9.871549.6%10.279.53-0.155-1.3061.6463.199
MIABUF019.031120.0816.48-5.2%7.692659.6%8.798.79-0.253-0.1922.1230.764
NENYJ121.65420.1618.767.3%12.73641.2%12.779.70-0.964-0.2322.562-0.677
ATLCAR019.68920.6416.60-4.6%12.56736.2%11.8110.700.555-0.1242.6981.824
TENJAC017.071920.9813.81-18.6%11.351033.5%11.949.42-0.738-0.1794.8613.828
BALPIT018.921321.3715.21-11.5%9.021952.3%11.207.87-0.900-0.1944.2412.571
WASCHI021.15622.8515.99-7.4%13.71235.2%13.959.85-0.444-0.1015.6862.062
NOTB122.93323.3716.57-1.9%11.54949.7%12.009.29-0.5700.3496.7050.933
GBMIN123.50224.1416.32-2.6%14.02140.3%14.229.46-0.528-0.1707.5732.159

RBs

PlayerDefenseComment (adjusted data from last six games - DK points)
  • Le'Veon Bell
  • David Johnson
  • LeSean McCoy
  • Zeke Elliott
  • Expensive chalk plays. McCoy is my favorite of the bunch, but will be highly owned.
  • Elliott may see lower ownership with DAL clenching #1 seed, but I expect him to play full compliment of snaps
  • After a "down" week, Bell may see reduced ownership, but BAL concede above-average floor to RB (20.55)
Todd Gurleyvs SF
  • SF far and away allow most adjusted points to RB (33.76)
  • At his price, you're banking on 100+ yds and a TD to meet value
Jay Ajayiat BUF
  • Barely missed a couple TDs last week in deep red zone
  • BUF 3rd worst adjusted points vs RB (29.72) and provide 2nd highest Adjusted Gain this week (46.8%)
  • MIA have faced 2nd toughest schedule (2.478)
Jordan Howardvs WAS
  • Workhorse RB at moderate pricing, still
  • WAS concede above-average adjusted points (26.55) and near-average adjusted floor (19.05) to RB
  • Targeted 8, 5, 4, 5 times in last month (not counting SF blizzard game) and totaling 18-20 touches per game
Doug Martinat NO
  • Contrarian play if you think this game will blow past the total (currently 52)
  • Should see touch volume - 23 carries vs NO two weeks ago
Mark Ingramvs TB
  • Contrarian (and dirt cheap) play against NO pass game (Brees / Thomas / Cooks)
  • NO is #1 overall in adjusted RB points (38.50) and adjusted floor (30.71)
  • TB is near average defensively vs RB (22.45 adj pts, 19.19 adj floor)
offdefhmrb.exprk.exprb.adj.orb.adj.drb.gainexp.notdrk.notdtd.depoff.notddef.notdrb.sos.orb.sos.drb.srs.orb.srs.d
24.0524.0024.11-0.2%19.1119.1%19.0719.16-0.114-0.1140.0000.000
LASF121.501912.8433.7667.4%13.282838.3%10.7822.180.7591.342-11.528-11.059
SDCLE029.231122.3530.5330.8%26.4659.5%20.2525.08-1.3001.293-2.077-5.927
MIABUF020.292113.8229.7246.8%14.412329.0%10.1422.752.4780.796-10.578-6.113
CARATL121.052017.4728.1720.5%13.972633.6%12.7520.730.350-0.246-6.937-5.330
SFLA024.121520.8627.0115.7%19.261620.2%17.2120.970.7950.137-2.278-1.909
BUFMIA139.63136.4326.778.8%29.40225.8%25.8522.49-0.1130.33012.023-0.109
CHIWAS127.951225.5026.559.6%20.021528.4%20.0419.05-2.2360.6151.566-3.540
MINGB024.001621.3526.4412.4%17.901725.4%16.4520.37-0.7360.516-1.543-4.472
KCDEN115.302713.8826.0810.2%12.802916.3%11.1121.311.4200.786-9.467-3.194
ATLCAR033.32531.7825.894.8%22.161233.5%20.1021.12-1.663-0.7717.640-0.250
NYGPHI020.222219.5624.473.4%17.561813.2%17.8418.790.6410.561-4.617-1.996
TENJAC030.28930.4724.17-0.6%20.851431.1%21.8218.32-2.806-0.2406.601-0.062
INDOAK024.221424.5823.74-1.5%14.982138.2%17.1416.96-0.425-0.1681.915-0.632
BALPIT029.341030.0623.65-2.4%24.06818.0%25.1718.341.1220.3635.2060.267
GBMIN112.153213.2423.48-8.2%7.763236.2%8.1919.240.032-0.036-9.105-1.170
HOUCIN122.731823.7722.97-4.4%21.62134.9%19.7721.03-0.739-0.2690.9873.552
DALDET131.26831.9022.96-2.0%25.46618.5%24.1820.20-1.765-0.5427.0840.517
DENKC013.592914.3922.84-5.5%11.593014.8%12.7717.680.847-0.087-8.3262.131
OAKIND135.46336.0322.83-1.6%27.15423.5%26.7219.16-0.8770.27212.329-0.751
SEAARI119.772321.0922.82-6.3%14.192428.2%18.6414.460.282-0.936-5.0702.012
PITBAL133.41434.1122.78-2.1%28.57314.5%26.8220.55-0.407-0.1679.5303.474
TBNO013.093014.0222.69-6.6%9.813125.1%11.6617.001.416-0.089-10.098-1.046
NOTB137.70238.5022.45-2.1%31.36116.8%30.7119.19-2.818-0.63714.2433.830
NENYJ131.51732.8222.21-4.0%25.20720.0%25.4618.51-0.489-0.3287.2283.911
NYJNE023.791726.2421.82-9.3%23.939-0.6%23.6919.560.294-0.5540.8563.952
PHINYG125.031327.3221.47-8.4%22.331010.8%22.3118.97-0.440-0.6353.9604.097
CLESD112.583115.5121.42-18.9%13.4327-6.8%16.2516.302.509-0.785-7.7632.607
WASCHI019.562422.6721.03-13.7%14.422226.3%16.5816.940.301-0.963-0.5471.747
CINHOU017.962521.1520.88-15.1%15.212015.4%17.1017.221.2620.258-3.7221.027
JACTEN115.352618.9520.54-19.0%17.0919-11.3%18.6917.450.749-0.618-4.0581.263
DETDAL013.662817.3920.19-21.4%14.1725-3.8%16.7816.52-0.371-0.871-5.8073.848
ARISEA032.04637.8419.19-15.3%22.201130.7%27.3614.59-1.705-1.95912.3529.321

WRs

PlayerDefenseComment (adjusted data from last six games - DK points)
  • Doug Baldwin
  • Tyler Lockett
vs ARI
  • ARI is dead last in adjusted WR points (49.63) and adjusted floor (40.43)
  • SEA 14th in adjusted WR points (38.17) and receive 33.5% Adj Gain from ARI
  • Lockett (GPP) plays majority of snaps vs ARI weaker side (right)
  • Baldwin (Cash) moves all over formation and enjoys heavy target volume
Marqise Leevs TEN
  • TEN 2nd worst adjusted points (46.43) and 3rd worst adjusted floor (38.95)
  • Prior to HOU disaster game, saw 8, 6, 9, and 8 targets, and built up to 0.68 WOPR in his offense
  • Allen Robinson an interesting GPP pivot, but costs slightly more
Kenny Brittvs SF
  • SF 3rd worst adjusted points (45.89) and 2nd worst adjusted floor (39.02)
  • Combine with Goff for a Gurley pivot if you believe LA can manage 2+ TDs thru the air
  • Not Cash viable
  • DeAndre Hopkins
  • Will Fuller
vs CIN
  • Hopkins a play on perceived increase in usable volume with Savage starting
  • Fuller a pivot from Hopkins. Still sees reliable deep targets weekly. Cheap high-upside WR that hits value with a TD
  • CIN yields 2nd least adjusted points (25.87) and least adjusted floor (20.67) to WR
Cameron Meredithvs WAS
  • WAS overall is just above average vs WR (37.51)
  • Expecting Alshon Jeffrey to draw Josh Norman majority of snaps, freeing Meredith for productive volume that won't require a TD for value in PPR
Desean Jacksonat CHI
  • CHI just below average in adjusted points (34.29) but vulnerable to deep ball
  • Of WAS WRs, Jackson offers most upside for price
  • Brandin Cooks
  • Michael Thomas
vs TB
  • If we trust that this game can blow past the total (52), both should expect to see ceiling production
  • Cooks struggled vs TB two weeks ago w/o Thomas
  • Prefer Thomas in Cash and Cooks in GPP
Chris Hoganvs NYJ
  • NYJ still vulnerable to deep ball
  • Hogan the cheapest NE WR that sees reliable pass volume
  • 5-70-0 vs NYJ in Week 12
Davante Adamsvs MIN
  • If opting for Aaron Rodgers in Cash, and looking to stack, my preferred choice due to mid-tier price vs Jordy Nelson
offdefhmwr.exprk.expwr.adj.owr.adj.dwr.gainexp.notdrk.notdtd.depoff.notddef.notdwr.sos.owr.sos.dwr.srs.owr.srs.d
AVE36.2636.3536.17-0.6%30.2515.2%30.3230.180.1790.1790.0000.000
SEAARI150.97438.1749.6333.5%40.98519.6%31.2640.43-0.740-0.360-2.223-12.418
JACTEN134.561925.4346.4335.9%27.261921.1%19.5338.951.1372.985-10.596-17.092
LASF142.131133.1445.8927.2%38.5868.4%30.2439.02-0.687-2.141-5.243-3.360
SFLA031.842221.5945.3247.5%24.112524.3%18.8234.751.198-0.335-17.786-7.470
ARISEA047.63639.6344.0420.2%36.45923.5%31.8834.68-1.311-2.9411.289-1.623
NYGPHI046.56838.8743.7119.8%34.231226.5%28.6235.521.2841.9251.319-7.429
ATLCAR053.64250.0340.357.2%47.42111.6%41.3736.54-0.1820.33410.273-1.780
DETDAL041.821238.5139.528.6%37.59810.1%34.0433.812.4231.4840.915-6.365
TBNO035.871632.3339.4411.0%31.541412.1%29.2332.401.8741.375-6.233-4.963
MINGB037.531334.1139.4210.0%34.04139.3%33.0131.372.2272.071-3.638-6.706
DENKC047.85545.4039.025.4%43.1439.8%38.8534.75-0.2681.8489.787-6.028
BUFMIA127.692626.7737.723.4%23.432615.4%23.6330.39-0.383-1.194-9.480-1.226
CHIWAS142.691041.2537.513.5%36.331014.9%34.9231.48-0.046-0.2094.440-0.985
NENYJ147.45746.3036.932.5%37.94720.0%37.3930.45-2.115-0.43410.717-1.260
NOTB151.12350.6535.990.9%41.02419.8%39.8430.99-0.933-1.22213.6835.482
NYJNE035.231736.8034.78-4.3%29.551616.1%31.6328.34-0.6530.4160.731-1.913
WASCHI043.34945.8934.29-5.6%35.521118.0%37.8428.41-0.4350.7298.9551.564
CINHOU029.322431.1734.25-5.9%25.582112.8%28.1727.69-0.0700.951-3.2211.111
GBMIN159.85160.6434.15-1.3%45.47224.0%46.9127.86-0.619-0.91625.0576.563
INDOAK034.052136.8833.59-7.7%27.721718.6%29.8128.25-0.3481.0641.5521.122
SDCLE034.522037.4233.54-7.8%26.932022.0%29.7027.59-0.208-0.1422.0572.899
DALDET135.901538.6233.26-7.1%27.631823.0%31.0626.60-0.938-0.9232.8697.499
CLESD117.233021.0933.00-18.3%17.5830-2.0%19.6828.601.6640.936-13.7281.047
CARATL129.042532.3932.93-10.4%25.072313.7%25.5430.001.606-2.205-5.0838.678
OAKIND125.652729.9232.10-14.2%21.832714.9%25.6226.501.1520.616-4.8852.082
PITBAL130.892335.2331.75-12.3%24.222421.6%27.9626.44-0.3432.5370.679-3.817
PHINYG111.703117.1231.55-31.7%13.1231-12.1%17.0126.853.629-1.268-17.6348.369
BALPIT036.731443.5630.10-15.7%31.391514.5%36.0026.13-2.5590.55510.3543.375
MIABUF034.881843.4128.47-19.7%25.332227.4%33.8422.32-1.197-0.4686.7357.684
KCDEN124.962833.3927.53-25.3%21.282914.8%28.0323.260.6920.405-0.9357.233
HOUCIN111.533222.1025.87-47.8%12.1932-5.7%20.6721.821.8000.813-12.5907.458
TENJAC023.792935.2825.27-32.6%21.362810.2%28.1023.74-0.912-0.5481.86312.267

TEs

PlayerDefenseComment (adjusted data from last six games - DK points)
Ryan Griffinvs CIN
  • If Fiedorowicz doesn't play, Griffin is an interesting Cash option vs CIN
  • Only concern lies in shift of target profile toward Hopkins / Fuller
  • CIN 2nd worst adjusted points vs TE (17.28)
Antonio Gatesat CLE
  • #1 option for me at TE this week
  • CLE 12th in adjusted points vs TE (13.91) but teams with active TEs destroy this defense (WAS, NE, TEN, DAL, CIN)
  • Narrative Special - Gates needs 2 TDs to tie all-time record
  • Hunter Henry a solid pivot at lower price
Jared Cookvs MIN
  • MIN concede 14.19 adjusted points to TE
  • Cook may offer path of least resistance for pass game
Jermaine Greshamat SEA
  • Should be low-owned following "let down" performance vs NO
  • Still min price
Charles Clayvs MIA
  • MIA allow 5th most adjusted points to TE (15.62)
  • "Old Team" Narrative Special - Rex Ryan loves to involve players against former teams
  • Pivot against LeSean McCoy, stackable with Tyrod Taylor
offdefhmte.exprk.expte.adj.ote.adj.dte.gainexp.notdrk.notdtd.depoff.notddef.notdte.sos.ote.sos.dte.srs.ote.srs.d
12.6012.6012.60-0.8%10.4913.5%10.5010.480.0080.0080.0000.000
CHIWAS114.73106.6921.38120.3%12.781113.2%4.8019.191.4820.808-6.462-10.162
DETDAL013.94148.8417.2857.7%12.111213.1%7.7314.520.312-0.604-4.233-1.865
HOUCIN123.56219.5616.4520.5%20.50213.0%16.7214.140.279-0.0657.352-3.547
NENYJ114.371211.4215.7725.8%10.041730.2%10.3410.18-1.1380.172-0.721-3.889
BUFMIA113.551510.7815.6225.7%9.212032.1%8.5611.27-1.4920.185-2.287-4.845
MINGB018.15515.4015.3517.8%15.39515.2%13.1012.79-0.4020.0062.541-1.956
PITBAL116.22813.6915.2118.5%14.14712.9%12.7611.810.294-0.644-0.029-2.211
ATLCAR010.90208.1714.9833.4%6.162543.5%5.0211.310.913-0.484-3.168-1.280
CARATL112.391810.5714.6217.2%12.948-4.5%11.0212.480.8160.900-1.845-3.277
PHINYG126.69124.3214.489.7%24.6917.5%22.2412.45-1.135-0.6289.0930.315
GBMIN112.811611.3714.1912.8%11.261512.1%10.5411.250.3020.561-1.743-2.300
SDCLE017.97616.8013.916.9%8.832150.9%10.478.920.099-0.9674.9851.476
WASCHI019.25318.8413.292.2%14.88622.7%15.2910.32-0.905-0.3075.9041.637
NOTB111.691911.3313.043.2%11.43132.3%10.5011.46-0.3630.485-1.009-2.920
BALPIT017.40717.5412.69-0.8%12.86926.1%13.0910.39-1.377-0.9613.8032.270
DALDET19.16259.4112.50-2.7%11.3714-24.2%9.7012.291.1260.042-4.2750.835
NYJNE04.67294.4612.414.8%4.51303.3%4.5010.210.3240.036-7.279-1.454
CLESD17.91268.4612.24-6.5%6.582416.8%6.8310.420.7080.825-5.257-1.160
TENJAC014.721115.5611.94-5.4%9.591834.9%11.668.570.6081.2763.256-0.064
INDOAK018.30419.3411.93-5.4%15.77413.8%15.1511.30-0.0720.9217.2240.259
ARISEA09.892211.5910.93-14.7%9.24196.5%9.749.980.0810.496-1.297-0.508
SFLA012.411714.3910.80-13.8%10.211617.7%11.109.67-1.5570.1212.2140.219
TBNO015.69918.869.88-16.8%12.801018.4%14.519.05-1.462-0.0626.7832.151
CINHOU09.252412.409.59-25.4%5.372642.0%7.987.88-0.2620.608-0.7112.273
OAKIND13.79317.089.43-46.4%5.0228-32.3%6.449.201.6390.890-4.4011.714
LASF14.21307.519.40-43.9%3.503117.0%6.607.42-0.622-0.101-4.2641.311
KCDEN114.161317.029.35-16.8%16.613-17.3%17.239.48-0.0690.0144.8514.508
MIABUF09.332312.819.30-27.1%6.912326.0%8.808.60-0.939-0.9600.9043.222
DENKC03.49326.749.22-48.3%5.0227-44.1%7.228.241.5980.492-5.5492.374
JACTEN15.06288.868.80-42.8%4.67297.8%8.316.771.7060.550-2.5953.553
SEAARI110.512114.148.70-25.7%8.132222.6%10.957.50-0.490-1.4112.7215.672
NYGPHI05.12279.408.36-45.6%2.673247.9%7.006.190.263-1.930-4.5077.649

 Asides & Errata

Thanks for spending your time on me this week. Hopefully the visualizations and ideas above provide some insight this week as you make selections.

As always, if you have questions about the data presented, please find me on twitter @FantasyADHD

Josh Hornsby

Josh Hornsby leads engineering teams in the oil & gas industry. His background in new product development, combined with nearly 20 years of data-driven fantasy experience, compels him to think outside the box and wreck the echo chamber of current fantasy analysis. Josh loves to challenge popular thinking and typically does so with numbers in hand. You can find him on Twitter @FantasyADHD

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