Every NFL game this week with its spread, moneyline, game total and, most usefully for lineup building, the implied team total behind each side. The board is built from the consensus schedule feed and refreshed weekly, so it does not go stale between seasons.

Why implied team totals matter more than the spread. A game total tells you how many points the market expects on the field. The implied team total splits that between the two offenses, and that split is what actually drives fantasy scoring. A 27-point implied total on a road underdog is a better stacking spot than a 44-point game total on its own would suggest.

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How Our Projections Are Actually Doing

The board above is what we expect. Below is what happened. Every completed game carries its final score beside the projection, the actual DraftKings and FanDuel points every projected player scored, and a grade for how well the model ranked them.

Grades use the correlation between projected and actual points rather than raw error, because ranking players correctly is what matters for a lineup, and a game where everyone outscored expectations should not be marked down for it. A single game is a small sample, so the season figure is the number worth reading.

How the projections have actually done. Across 64 completed games and 1386 player scores this season, mean absolute error is 4.31 DraftKings points with a bias of -0.39, correlation between projected and actual is +0.703, and that is +36.2 percent better than simply projecting every player at the slate average. Season grade B. A positive bias means the projections run high. A single game is far too small a sample to judge, which is why the season figure leads.

Completed Games

6grade A
4grade B
4grade C
1grade D
1grade F
16games graded
Show
CJaguars 22, Bengals 17MAE 5.47 · corr +0.614 · 21 players
Projected 25.2 to 27.0 for a total of 52.2, against a market total of 51.5. Actual total 39.
5.47Mean abs error
-0.02Bias
+0.614Correlation
+23.4 percentvs baseline
21Players graded
PlayerProj DKActual DKDiffActual FDOwn
Tee HigginsCIN WR14.729.7+15.021.26.1%
Joe BurrowCIN QB21.128.7+7.625.75.5%
Chase BrownCIN RB17.519.1+1.613.630.7%
Brenton StrangeJAX TE9.516.5+7.013.016.7%
Dohnte MeyersCIN WR6.015.2+9.211.74.2%
Trevor LawrenceJAX QB20.713.1-7.613.18.5%
Mike GesickiCIN TE7.313.0+5.711.51.3%
Bhayshul TutenJAX RB13.311.1-2.210.15.1%
Brian Thomas Jr.JAX WR7.09.7+2.78.71.2%
Chris Rodriguez Jr.JAX RB4.39.5+5.29.50.0%
ALions 26, Panthers 32MAE 4.66 · corr +0.778 · 24 players
Projected 28.4 to 23.8 for a total of 52.2, against a market total of 52.5. Actual total 58.
4.66Mean abs error
-2.3Bias
+0.778Correlation
+54.0 percentvs baseline
24Players graded
PlayerProj DKActual DKDiffActual FDOwn
Tetairoa McMillanCAR WR16.348.2+31.938.217.6%
Chuba HubbardCAR RB17.028.9+11.925.413.4%
Bryce YoungCAR QB18.624.5+5.821.56.4%
Jared GoffDET QB19.623.5+3.920.55.0%
Sam LaPortaDET TE11.822.4+10.618.420.3%
Jameson WilliamsDET WR11.419.2+7.813.21.3%
Jahmyr GibbsDET RB27.517.7-9.815.728.6%
Amon-Ra St. BrownDET WR19.615.5-4.111.510.1%
Isaac TeSlaaDET WR4.813.5+8.711.50.6%
John Metchie IIICAR WR4.46.7+2.35.20.0%
CPatriots 29, Bills 26MAE 5.12 · corr +0.586 · 23 players
Projected 21.2 to 28.8 for a total of 50.1, against a market total of 49.5. Actual total 55.
5.12Mean abs error
-1.1Bias
+0.586Correlation
+35.8 percentvs baseline
23Players graded
PlayerProj DKActual DKDiffActual FDOwn
Drake MayeNE QB18.028.2+10.227.21.5%
Keon ColemanBUF WR4.626.6+22.020.60.1%
Romeo DoubsNE WR9.523.8+14.320.80.8%
Josh AllenBUF QB25.119.5-5.619.55.1%
Rhamondre StevensonNE RB10.918.4+7.516.90.8%
James Cook IIIBUF RB17.516.3-1.215.32.7%
Khalil ShakirBUF WR10.414.2+3.89.73.3%
Efton Chism IIINE WR1.112.2+11.111.20.0%
Hunter HenryNE TE8.611.2+2.68.73.8%
Mack HollinsNE WR10.28.3-1.96.814.3%
ACowboys 34, Texans 30MAE 5.39 · corr +0.798 · 22 players
Projected 23.6 to 25.9 for a total of 49.5, against a market total of 48.5. Actual total 64.
5.39Mean abs error
-2.02Bias
+0.798Correlation
+44.2 percentvs baseline
22Players graded
PlayerProj DKActual DKDiffActual FDOwn
CeeDee LambDAL WR17.844.3+26.532.83.6%
Nico CollinsHOU WR16.533.8+17.327.33.7%
Javonte WilliamsDAL RB15.731.3+15.728.82.5%
C.J. StroudHOU QB19.026.1+7.123.15.3%
Dak PrescottDAL QB19.321.1+1.818.11.6%
Jaylin NoelHOU WR4.011.9+7.910.40.2%
George PickensDAL WR14.99.5-5.48.54.0%
Woody MarksHOU RB9.18.2-0.98.20.3%
Ryan FlournoyDAL WR8.77.7-1.05.78.2%
Xavier HutchinsonHOU WR7.27.6+0.46.11.1%
ABroncos 14, 49ers 24MAE 3.17 · corr +0.826 · 22 players
Projected 23.1 to 25.6 for a total of 48.7, against a market total of 48.5. Actual total 38.
3.17Mean abs error
+0.34Bias
+0.826Correlation
+51.1 percentvs baseline
22Players graded
PlayerProj DKActual DKDiffActual FDOwn
Brock PurdySF QB19.519.6+0.119.60.6%
RJ HarveyDEN RB10.319.3+9.014.30.3%
Deebo Samuel Sr.SF WR10.118.0+7.915.50.3%
George KittleSF TE14.317.0+2.715.016.7%
Christian McCaffreySF RB22.316.0-6.314.512.9%
Jaylen WaddleDEN WR13.214.5+1.312.00.3%
Bo NixDEN QB18.113.6-4.513.61.7%
Mike EvansSF WR11.112.6+1.510.10.0%
Tyler BadieDEN RB2.27.9+5.76.90.0%
Pat BryantDEN WR6.57.7+1.26.20.1%
BChiefs 30, Raiders 27MAE 4.62 · corr +0.742 · 23 players
Projected 26.9 to 21.6 for a total of 48.5, against a market total of 47.5. Actual total 57.
4.62Mean abs error
-2.66Bias
+0.742Correlation
+47.5 percentvs baseline
23Players graded
PlayerProj DKActual DKDiffActual FDOwn
Kenneth Walker IIIKC RB20.533.9+13.430.46.9%
Tyquan ThorntonKC WR5.631.1+25.525.60.3%
Kirk CousinsLV QB14.926.6+11.723.60.1%
Brock BowersLV TE18.020.6+2.617.68.8%
Ashton JeantyLV RB16.618.6+2.015.62.5%
Patrick MahomesKC QB19.917.0-2.917.01.6%
Michael MayerLV TE6.616.2+9.612.20.0%
Ian ThomasLV TE0.511.2+10.710.20.0%
Xavier WorthyKC WR8.911.0+2.19.00.5%
Tre TuckerLV WR9.28.4-0.86.40.1%
AFalcons 45, Saints 24MAE 4.04 · corr +0.792 · 22 players
Projected 23.8 to 24.6 for a total of 48.3, against a market total of 47.5. Actual total 69.
4.04Mean abs error
-1.2Bias
+0.792Correlation
+52.2 percentvs baseline
22Players graded
PlayerProj DKActual DKDiffActual FDOwn
Bijan RobinsonATL RB24.830.7+5.927.223.7%
Brian Robinson Jr.ATL RB5.525.7+20.225.20.0%
Alvin KamaraNO RB12.022.8+10.820.312.1%
Chris OlaveNO WR20.122.6+2.515.624.8%
Devaughn VeleNO WR11.317.4+6.114.414.0%
Tyler ShoughNO QB21.015.9-5.115.918.7%
Drake LondonATL WR18.614.6-4.012.120.7%
Jahan DotsonATL WR5.513.4+7.912.43.9%
Michael Penix Jr.ATL QB15.812.7-3.112.72.5%
Juwan JohnsonNO TE10.911.9+1.08.93.1%
BColts 30, Commanders 13MAE 4.13 · corr +0.69 · 20 players
Projected 26.1 to 20.9 for a total of 47.0, against a market total of 46.5. Actual total 43.
4.13Mean abs error
+2.19Bias
+0.69Correlation
-1.8 percentvs baseline
20Players graded
PlayerProj DKActual DKDiffActual FDOwn
Jonathan TaylorIND RB22.322.7+0.422.215.3%
Treylon BurksWAS WR5.411.7+6.311.20.0%
Daniel JonesIND QB17.49.9-7.58.96.1%
Dyami BrownWAS WR4.29.5+5.38.00.2%
Laquon TreadwellIND WR6.29.2+3.06.70.5%
Tyler WarrenIND TE15.29.1-6.16.68.6%
Stefon DiggsWAS WR14.08.5-5.56.01.2%
Jacory Croskey-MerrittWAS RB11.97.0-5.06.00.7%
Ashton DulinIND WR3.05.9+2.94.40.0%
Marcus MariotaWAS QB16.65.3-11.35.38.4%
BCardinals 24, Giants 36MAE 4.03 · corr +0.696 · 23 players
Projected 23.3 to 21.6 for a total of 44.9, against a market total of 44.5. Actual total 60.
4.03Mean abs error
-0.56Bias
+0.696Correlation
+33.2 percentvs baseline
23Players graded
PlayerProj DKActual DKDiffActual FDOwn
Malik NabersNYG WR13.326.2+12.920.24.9%
Jameis WinstonNYG QB14.220.0+5.820.02.1%
Michael WilsonARI WR13.516.5+3.013.012.3%
Isaiah LikelyNYG TE11.013.6+2.610.12.0%
Jacoby BrissettARI QB16.513.4-3.113.44.3%
Malachi FieldsNYG WR5.913.2+7.312.20.6%
Tyler AllgeierARI RB7.512.9+5.411.90.0%
Trey McBrideARI TE16.610.1-6.56.616.3%
Elijah HigginsARI TE2.09.9+7.98.90.0%
Marvin Harrison Jr.ARI WR7.58.2+0.77.70.2%
FJets 12, Bears 23MAE 5.28 · corr +0.4 · 21 players
Projected 20.2 to 23.9 for a total of 44.0, against a market total of 43.5. Actual total 35.
5.28Mean abs error
+0.88Bias
+0.4Correlation
+8.8 percentvs baseline
21Players graded
PlayerProj DKActual DKDiffActual FDOwn
Kyle MonangaiCHI RB8.631.0+22.427.50.0%
Rome OdunzeCHI WR7.915.4+7.512.40.0%
Isaiah WilliamsNYJ WR6.615.3+8.714.30.2%
Colston LovelandCHI TE9.011.7+2.78.70.1%
Luther Burden IIICHI WR12.111.4-0.79.42.1%
Tyson BagentCHI QB16.49.8-6.59.80.0%
Geno SmithNYJ QB15.28.8-6.48.81.3%
Braelon AllenNYJ RB13.18.7-4.47.71.7%
D'Andre SwiftCHI RB15.08.4-6.66.45.5%
Garrett WilsonNYJ WR17.35.7-11.64.216.8%
CRams 24, Eagles 20MAE 5.11 · corr +0.641 · 21 players
Projected 23.8 to 19.9 for a total of 43.7, against a market total of 42.5. Actual total 44.
5.11Mean abs error
-0.14Bias
+0.641Correlation
+32.2 percentvs baseline
21Players graded
PlayerProj DKActual DKDiffActual FDOwn
Kyren WilliamsLA RB14.136.7+22.631.72.6%
Puka NacuaLA WR18.230.7+12.523.26.6%
Darius CooperPHI WR5.018.3+13.316.80.0%
Matthew StaffordLA QB16.814.7-2.111.70.4%
Jalen HurtsPHI QB16.713.5-3.213.50.1%
Tyler HigbeeLA TE8.211.7+3.59.20.2%
Davante AdamsLA WR15.77.2-8.55.20.1%
Makai LemonPHI WR9.45.7-3.74.20.1%
Tank BigsbyPHI RB2.35.5+3.25.50.0%
Dontayvion WicksPHI WR11.64.8-6.83.30.5%
DChargers 23, Seahawks 30MAE 4.64 · corr +0.534 · 21 players
Projected 17.7 to 25.8 for a total of 43.5, against a market total of 42.5. Actual total 53.
4.64Mean abs error
+0.13Bias
+0.534Correlation
+18.1 percentvs baseline
21Players graded
PlayerProj DKActual DKDiffActual FDOwn
Emanuel WilsonSEA RB11.027.0+16.025.50.0%
Sam DarnoldSEA QB17.714.3-3.414.32.1%
Omarion HamptonLAC RB9.813.3+3.512.30.0%
Jaxon Smith-NjigbaSEA WR22.212.6-9.610.15.5%
Justin HerbertLAC QB14.712.6-2.111.60.0%
Rashid ShaheedSEA WR7.012.3+5.211.80.2%
Kimani VidalLAC RB1.911.6+9.710.60.0%
Keaton MitchellLAC RB6.011.3+5.38.80.0%
Tre' HarrisLAC WR8.29.0+0.87.50.1%
Oronde Gadsden IILAC TE7.28.8+1.66.30.1%
ATitans 18, Ravens 24MAE 3.05 · corr +0.852 · 21 players
Projected 15.3 to 27.6 for a total of 42.9, against a market total of 42.5. Actual total 42.
3.05Mean abs error
-0.96Bias
+0.852Correlation
+58.4 percentvs baseline
21Players graded
PlayerProj DKActual DKDiffActual FDOwn
Zay FlowersBAL WR16.828.8+12.021.83.4%
Carnell TateTEN WR10.925.5+14.617.03.2%
Lamar JacksonBAL QB20.218.9-1.418.91.2%
Cam WardTEN QB11.916.6+4.616.60.1%
Derrick HenryBAL RB20.215.9-4.314.94.2%
Mark AndrewsBAL TE11.313.7+2.411.24.4%
Tony PollardTEN RB10.413.0+2.612.00.0%
Wan'Dale RobinsonTEN WR9.111.0+1.99.50.6%
Rashod BatemanBAL WR7.26.6-0.65.61.4%
Justice HillBAL RB6.04.5-1.53.50.0%
BPackers 17, Buccaneers 14MAE 2.98 · corr +0.718 · 23 players
Projected 21.1 to 18.5 for a total of 39.6, against a market total of 38.5. Actual total 31.
2.98Mean abs error
+0.29Bias
+0.718Correlation
+24.1 percentvs baseline
23Players graded
PlayerProj DKActual DKDiffActual FDOwn
Tucker KraftGB TE10.616.5+5.913.51.7%
Jordan LoveGB QB16.914.1-2.814.11.2%
Jalon DanielsTB QB15.013.4-1.613.40.6%
Matthew GoldenGB WR13.311.7-1.610.28.5%
Kenny GainwellTB RB6.110.7+4.69.70.0%
MarShawn LloydGB RB6.79.9+3.27.40.0%
Chris Godwin Jr.TB WR7.19.1+2.06.10.0%
Cade OttonTB TE6.97.7+0.85.70.2%
Christian WatsonGB WR15.27.7-7.56.22.4%
Sean TuckerTB RB0.67.0+6.47.00.0%
CDolphins 10, Vikings 15MAE 4.31 · corr +0.621 · 20 players
Projected 14.4 to 24.8 for a total of 39.1, against a market total of 38.5. Actual total 25.
4.31Mean abs error
+0.78Bias
+0.621Correlation
+31.5 percentvs baseline
20Players graded
PlayerProj DKActual DKDiffActual FDOwn
T.J. HockensonMIN TE11.627.9+16.318.415.1%
Ollie Gordon IIMIA RB6.621.0+14.417.00.0%
Aaron Jones Sr.MIN RB17.516.8-0.714.815.7%
Malik WashingtonMIA WR10.612.0+1.49.52.4%
Kyler MurrayMIN QB18.111.5-6.611.55.2%
Jordan AddisonMIN WR14.69.1-5.57.11.0%
Malik WillisMIA QB12.83.5-9.32.50.0%
Myles PriceMIN WR1.72.8+1.11.80.0%
Will KacmarekMIA TE1.22.5+1.32.00.0%
Tai FeltonMIN WR4.72.4-2.31.90.0%
ASteelers 24, Browns 27MAE 3.56 · corr +0.815 · 23 players
Projected 20.7 to 18.1 for a total of 38.7, against a market total of 38.5. Actual total 51.
3.56Mean abs error
-2.15Bias
+0.815Correlation
+45.8 percentvs baseline
23Players graded
PlayerProj DKActual DKDiffActual FDOwn
Aaron RodgersPIT QB14.524.0+9.524.00.4%
Quinshon JudkinsCLE RB12.421.6+9.218.61.6%
DK MetcalfPIT WR11.319.5+8.214.01.9%
Roman WilsonPIT WR5.816.4+10.714.90.3%
Jaylen WarrenPIT RB18.915.6-3.314.125.9%
Deshaun WatsonCLE QB15.514.9-0.613.91.4%
Denzel BostonCLE WR8.812.9+4.210.90.1%
Darnell WashingtonPIT TE4.811.7+6.910.20.1%
Harold Fannin Jr.CLE TE10.711.7+1.010.23.0%
KC Concepcion Jr.CLE WR10.211.4+1.28.913.2%

How to read the board

Games are grouped by day in kickoff order. The favorite on each card is picked out in gold, and the chip in the top right tags the game shape: a grind at 42 points or under, a shootout at 49 or over, average in between. Those are the same bands the FTA showdown research uses, so the language carries across the site.

Win probability is de-vigged from the two moneylines, so the pair adds to 100 rather than the 104 or so the raw prices imply. The second tab ranks all 32 implied team totals on the slate, which is the fastest way to find the offences the market likes before you start building.

What this pairs with

Once you have the spots, the NFL Strength of Schedule tool grades the matchups, the NFL Bacon Station carries defense-allowed and red zone usage, and the BaconLab optimizer builds the lineups. FTA+ members can export the whole board to CSV and drop it straight into their own model.