Average draft position is the closest thing fantasy football has to a betting line. It tells you what the market is paying for every player. Like any market, it has structural inefficiencies — places where drafters consistently misprice, year after year, even when the analytics community has been pointing it out for half a decade. Our Sharksnip projection model breaks ADP into four tiers and identifies where each one systematically overpays or underpays.
Why ADP misprices things
Three forces push ADP off equilibrium:
- Recency bias. Last year's top-5 RB gets drafted as if he is a guaranteed top-5 again. The hit rate is closer to 30%.
- Name brand. A 30-year-old former star at QB gets drafted three rounds before a more productive but unfamiliar starter, every time.
- Highlight memory. A WR who had a viral playoff catch goes a round earlier than identical players who didn't. This is real and measurable.
None of these factors show up in projections, which is why models routinely produce different rankings than ADP. The art is knowing which differences are real and which are noise.
The four ADP zones
Zone 1 — Picks 1–24 (Rounds 1–2): Mostly efficient
The top of the draft is the most carefully studied stretch in fantasy. Bad calls get punished publicly. Consensus gets very close to model projections here, and our model tends to agree with ADP within half a tier on the top 18 picks. Where the model disagrees, it is usually about RB age or injury risk that consensus has not yet repriced. Historically, players drafted top-24 hit a top-24 finish about 50% of the time, which is the best rate of any zone.
Strategy: don't try to be clever. Take the projections and ADP at face value. The edge in Zone 1 is structural — securing two top-12 finishers is more valuable than chasing a Round 6 sleeper.
Zone 2 — Picks 25–60 (Rounds 3–5): Where overpay lives
This is the most inefficient zone in fantasy drafts. It is where consensus chases name-brand veterans, last year's top-12 RBs who slipped slightly, and the "second WR on a great offense" archetype. Our backtest data on Zone 2 is rough on consensus:
- Round 3 RBs hit a top-24 finish roughly 35% of the time.
- Round 4 WRs labeled "WR2 on great offense" hit WR2 finishes under 30% of the time.
- Most of the value lost goes to Zone 4 sleepers (see below) who outscore them at a fraction of the cost.
Strategy: This is where the model-vs-consensus delta matters most. Use the Sharksnip ROS rankings to flag every player whose model rank is more than a full tier below their ADP and avoid them. The RB regression piece covers exactly which Zone 2 backs to fade.
Zone 3 — Picks 61–120 (Rounds 6–10): Tier breaks dominate
The middle rounds are where tier construction beats individual player evaluation. Whether you draft Player A at pick 80 or Player B at pick 88 matters less than whether you have built around the structural needs of your league (PPR, TE premium, superflex, etc.). The model's edge in Zone 3 is mostly about tier alignment — knowing which 6–8 player groupings are roughly interchangeable and prioritizing the player whose schedule, role, or upside profile fits your team build.
Strategy: Stop trying to crown individual sleepers in Zone 3. Take the player at the top of the active tier whose ROS schedule fits your playoff window. Nine times out of ten, that beats chasing a specific name.
Zone 4 — Picks 121+ (Round 11+): Where sleepers live
This is the highest-variance zone, and also where the model produces its most consistent ADP-beating value. The reason: drafters get bored and start picking on vibes. Our model's projections here are not magic — they just consistently identify three player archetypes that consensus misses:
- Year-2 WRs with rising target shares — the breakout candidates we covered in target share vs air yards.
- Backup RBs on teams whose starter has injury history — the contingent value math is brutal in our favor.
- Streamable QBs on offenses with rising pace — see why streaming QBs beats drafting elite.
Strategy: hammer Zone 4 picks aggressively. The hit rate on individual late picks is low, but the cost is so cheap that any single hit pays back five misses. Historically, about 1 in 6 Round 12+ picks finishes inside the top-24 at their position — and those are the ones that win leagues.
Position-specific notes
QB
Round 3–6 QB ADP is almost always a trap. The streaming math (covered in our QB streaming piece) means you can replicate elite-QB production with two Round 11–13 picks for a fraction of the draft capital. The model fades the early-QB tier in standard formats.
TE
Top-3 TEs are usually fairly priced. Anything in the TE5–TE10 range is overpaid in our model — those tier-2 TEs get drafted on name, but the production gap to a streamed TE is small. We cover this fully in the TE premium strategy piece.
RB and WR
RBs are overpaid in Zones 1–2 and underpaid in Zone 4. WRs are roughly correct in Zone 1 and underpaid in Zones 2–4. This is the structural argument for "robust RB" in high-stakes drafts and "Zero RB" in PPR — both are defensible, both exploit a real ADP inefficiency.
Bottom line
ADP is a market, and like every market, it misprices the same things every year: name brand, recency bias, and middle-round veterans. Take Zone 1 at face value, fade Zone 2 hard, exploit tier alignment in Zone 3, and hammer Zone 4 aggressively. Do that consistently and you will outdraft your league before the regular season starts.
Open the Sharksnip draft kit for the model's full ADP-vs-projection delta sorted by zone, with the contributing features for every overvalued and undervalued name.