DraftSOS maintains affiliate partnerships. We earn commission when you use our links to create accounts.

2026 Half-PPR Fantasy Football Cheat Sheet

Half-PPR Strategy

Half-PPR is a fantasy format that splits the difference between standard and full PPR: receptions still matter, just at half value. That keeps bell-cow running backs closer to parity with high-volume receivers than full PPR does, so draft capital spreads more evenly across the first few rounds and positional runs start later. The drafting implication is balance: you can take a workhorse back on early-down volume without paying the full PPR penalty, and a 100-target receiver still carries a weekly floor standard leagues never gave him. Across 3,952 QB/RB/WR/TE player-seasons from 2018-2024, reception volume remained the steadier weekly scoring signal while touchdowns varied widely season to season (Source: nflverse, 2018-2024), so treat target share as the anchor and touchdown rate as the upside kicker when you break ties inside a tier on this sheet.

A half-PPR cheat sheet is a format-adjusted ranking for leagues that award half a point per reception, the middle ground between standard and full PPR. In half-PPR, target volume still matters but touchdown efficiency regains weight, so balanced receivers and touchdown-heavy backs converge in value; across 3,952 QB/RB/WR/TE player-seasons from 2018-2024, reception volume remained the steadier weekly signal while touchdowns varied widely (Source: nflverse, 2018-2024). This 2026 half-PPR cheat sheet tiers the top 40 by consensus ADP with the best daily-fantasy site listed per player, and a free email unlocks the full printable board (Source: FantasyPros consensus ADP, 2026). Draft against the tiers rather than a linear list: inside each tier, prefer the player whose role fits your roster gap, because your format has already priced the reception adjustment for you at half weight.

Where to Find Value

Look for the same profile in the middle rounds: pass-catching backs and route-diverse receivers who see a steady target share even without top-15 draft capital. Consistent opportunity beats name recognition once the board thins out.

Showing the current build's player pool (40 ranked). Full rankings expand as live ADP sources are wired ahead of launch.

#PlayerPosTeamTierAdj. ADPBest DFS Site
1Bijan RobinsonRBATLA21.4Underdog
2Jahmyr GibbsRBDETA22Underdog
3Puka NacuaWRLARB12.5Underdog
4Ja'Marr ChaseWRCINA13.6Underdog
5Christian McCaffreyRBSFC24.7Underdog
6Amon-Ra St. BrownWRDETB16.9Underdog
7Jonathan TaylorRBINDB27.3Underdog
8De'Von AchaneRBMIAB29.1Underdog
9Justin JeffersonWRMINA29.6Underdog
10CeeDee LambWRDALA210.1Underdog
11Drake LondonWRATLB212.3Underdog
12A.J. BrownWRPHIB213.8Underdog
13Derrick HenryRBBALC115.2Underdog
14Saquon BarkleyRBPHIB119.8Underdog
15Nico CollinsWRHOUB222.5Underdog
16Anthony RichardsonQBINDB223.5Underdog
17Garrett WilsonWRNYJB225.6Underdog
18Trey McBrideTEARIC127.6Underdog
19Josh AllenQBBUFA127.8Underdog
20Josh JacobsRBGBC128.2Underdog
21Breece HallRBNYJA228.5Underdog
22Kyren WilliamsRBLARB231.9Underdog
23Brock BowersTELVB135.1Underdog
24Malik NabersWRNYGB140.9Underdog
25Justin FieldsQBNYJC243.3Underdog
26Joe BurrowQBCINB147.6Underdog
27Lamar JacksonQBBALA253Underdog
28Dak PrescottQBDALC158.8Underdog
29Sam LaPortaTEDETC171.9Underdog
30Patrick MahomesQBKCA177.1Underdog
31Justin HerbertQBLACB177.4Underdog
32Trevor LawrenceQBJAXC180.6Underdog
33Jayden DanielsQBWASB286.6Underdog
34Jalen HurtsQBPHIA193.1Underdog
35Brock PurdyQBSFC196.3Underdog
36George KittleTESFC1103Underdog
37Caleb WilliamsQBCHIB2106.3Underdog
38Mark AndrewsTEBALC2130Underdog
39Kyler MurrayQBARIC2149.3Underdog
40C.J. StroudQBHOUB1154.9Underdog

Run the SOS-aware mock draft

This sheet ranks players by consensus board value. The DraftSOS engine adds a strength-of-schedule layer onto every projection, so a simulation shows where the 2026 schedule amplifies or erodes a half-PPR pick weeks before box scores do. Run at least one full mock with your league exact roster size and scoring before draft day, then compare where the simulated board diverges from this printed sheet: divergences are information, not errors, and they mark the picks where live league behavior beats consensus average position. Each simulation runs 100 Monte Carlo scenarios against the same 7,084-player dataset.