Draft Pick Value Estimator
Value NFL draft picks with an exponential trade chart and compare a single pick against a package of picks to see which side gains surplus points.
Draft Pick Value Estimator
Calculator
Adjust values & calculateEnter your values below. Every result is computed in your browser — no data is sent to any server.
Formula: Value = 3000 * e^(-0.0145 * pick) + max(0, (totalPicks - pick) * 0.3)
Worked example — Trading down from #1 to #12 + #20 yields a surplus of ~1,866 points — a strong deal for the team trading down.
Formula
Value = 3000 * e^(-0.0145 * pick) + max(0, (totalPicks - pick) * 0.3)
Uses an exponential decay model inspired by the Jimmy Johnson trade value chart. Higher picks receive exponentially more value, with a small linear residual for late-round selections. The constant 0.0145 controls the rate of value decay across the draft.
Worked Examples
Example 1: Evaluating the #1 Overall Pick
Problem:What is the trade value of the first overall pick, and how does it compare to picks 12 and 20 combined?
Solution:Pick #1 value = 3000 * e^(-0.0145 * 1) + (224-1)*0.3 = 2,957 + 66.9 = ~3,024 points Pick #12 value = 3000 * e^(-0.174) + (224-12)*0.3 = 2,521 + 63.6 = ~2,584 Pick #20 value = 3000 * e^(-0.29) + (224-20)*0.3 = 2,245 + 61.2 = ~2,306 Combined = 2,584 + 2,306 = 4,890 points Surplus for team trading down: 4,890 - 3,024 = +1,866 points
Result:Trading down from #1 to #12 + #20 yields a surplus of ~1,866 points — a strong deal for the team trading down.
Example 2: Mid-Round Trade Package
Problem:Is trading pick #15 for picks #30 and #45 a fair deal?
Solution:Pick #15 value = 3000 * e^(-0.2175) + (224-15)*0.3 = 2,414 + 62.7 = ~2,476 Pick #30 value = 3000 * e^(-0.435) + (224-30)*0.3 = 1,942 + 58.2 = ~2,000 Pick #45 value = 3000 * e^(-0.6525) + (224-45)*0.3 = 1,562 + 53.7 = ~1,616 Combined = 2,000 + 1,616 = 3,616 Surplus: 3,616 - 2,476 = +1,140 points
Result:Picks #30 + #45 exceed pick #15 by ~1,140 points — favorable for the team trading down.
Frequently Asked Questions
How is draft pick trade value calculated?
Draft pick trade values are based on the Jimmy Johnson trade value chart, originally developed by the Dallas Cowboys in the early 1990s. The chart assigns point values to each draft pick that decrease exponentially from pick 1 (highest value around 3,000 points) to the final pick (near zero). Teams use these values to negotiate trades by comparing the total points on each side. While the original chart has been updated over the years, the core principle remains: early picks are worth disproportionately more because they offer access to elite talent with higher success rates.
Why do early draft picks have so much more value?
Early picks carry a premium because the supply of clearly separated, franchise-altering prospects is small and sits at the top of the board, so each slot you move down widens the pool of players who look interchangeable. The original Jimmy Johnson chart states the size of that premium plainly: pick 1 is set at 3,000 points, pick 32 at 590, and pick 100 at about 100 — so on that chart the first selection is worth roughly five late first-rounders or thirty mid-round picks. The smoothed exponential used by this tool is deliberately flatter, returning about 3,024 at pick 1 against 1,944 at pick 32 (a ratio near 1.6), which is closer to how modern analytics charts treat the middle of the draft. Early picks also come with the largest rookie-scale salaries, so the talent premium and the cost premium move together.
What is the Pro Bowl probability model based on?
It is an illustrative exponential decay curve rather than a measured historical rate: probability = 85 × e^(−0.035 × pick) + 3, clamped between 2% and 95%. That returns about 85% at pick 1, 63% at pick 10, 31% at pick 32, 12% around pick 65 and mid-single digits past pick 100. The shape matches the well-established pattern that Pro Bowl talent clusters early and thins out quickly, but the levels are the curve's own, not figures lifted from a published study — so read the output as a relative ranking between slots, not as a probability you could bet on. Position matters a great deal too: quarterbacks swing much further in both directions than a single smooth curve can express.
How do I evaluate a fair draft pick trade?
To evaluate a trade, sum the chart values for all picks each team gives up. If the values are roughly equal (within 5-10%), the trade is considered fair. For example, this page's model prices pick 10 at about 2,659 points, while picks 20 and 25 come to 2,306 + 2,148 = 4,454 — so trading pick 10 for that pair hands the team trading down a surplus of roughly 1,795 points. However, modern analytics suggest the classic chart undervalues picks in rounds 2-4, where teams can still find quality starters at lower cost. Many teams now use updated models like the Rich Hill or Harvard Sports Analysis charts that give more credit to mid-round selections.
What is Career Approximate Value (AV)?
Career Approximate Value is a metric created by Doug Drinen at Pro Football Reference that compresses a player's whole career into one number, so that players at different positions can be placed on a single comparable scale. It is built from games started, statistical production weighted against positional norms, and team-level success, and it is explicitly approximate — small differences between two players are not meaningful. The curve on this page, 75 × e^(−0.018 × pick) + 10, is a smooth illustration of how expected career value falls with draft slot, returning about 84 at pick 1, 52 at pick 32 and 22 around pick 100. Those are the curve's outputs, not measured averages of past drafts: real career AV at any slot is enormously dispersed, with busts and long-career starters coming out of the same pick number.
What does the decay constant of 0.0145 imply about how fast pick value falls?
In an exponential of the form e^(−k × pick), value halves every ln(2) ÷ k picks. With k = 0.0145 that is 0.693 ÷ 0.0145 ≈ 48 picks, so the exponential part of pick 1 is worth roughly double pick 49 and four times pick 97. The small linear residual of 0.3 points per remaining selection sits underneath that curve and keeps late-round picks from rounding to zero. Knowing the half-life is the quickest sanity check on any trade package: it takes two picks at the later slot to replace one pick 48 slots earlier, so pick 20 (2,306 points) is covered by two picks around number 68 (1,166 each) rather than by one.
What is surplus value and why does it differ from chart value?
Chart value describes what front offices have historically paid for a slot. Surplus value is what the team actually keeps: expected on-field production minus the rookie contract cost of the player who fills it. Because the rookie wage scale prices the top of round one far above later slots while production is noisy, the surplus curve is much flatter than the trade chart — and often peaks somewhere in the late first and second rounds rather than at pick 1. That gap is the core of the argument that early picks are systematically overpriced in trades.
How should a draft pick in a future year be valued against a current one?
A future pick carries two discounts. The first is time: the player will not help this roster for a season, and the acquiring team is deferring the benefit. The second is uncertainty, because you do not know where in the round the pick will land until the season plays out — a first-rounder from a contender is a very different asset from one from a rebuilding club. The long-standing rule of thumb in league circles is to treat a future pick as roughly one round lower than its expected current-year slot, which is a crude but workable discount.
Why does the actual draft contain more selections than rounds multiplied by 32?
This tool sets total picks at rounds × 32, one per club per round, which is the base structure. Real drafts add compensatory selections awarded to teams that lost more qualifying free agents than they signed, and those are appended to the end of the affected rounds rather than inserted into the natural order. Forfeited picks can also remove slots. A chart that stops at 224 is simply showing the base structure of a seven-round draft (7 × 32), not a historical limit: compensatory awards have pushed real drafts past that number since the system began in 1994, whether or not the picks themselves could change hands. Their tradeability is a separate change — the league approved it in 2015 and it took effect with the 2017 draft — so a modern board that runs past 224 reflects the comp picks that were always there, now transferable.
When is trading up for one player better than accumulating picks?
Chart arithmetic almost always favours trading down, because you receive more total points than you give. Trading up is defensible when three conditions hold together: the target plays a premium position, your evaluation of him is meaningfully separated from the next tier rather than marginally ahead, and your roster cannot absorb the extra bodies that a stack of mid-round picks brings. Concentrating value raises variance — you are buying one outcome instead of several draws — so it is a bet on the strength of your own scouting, not on the chart.
References
Background & Theory
History
Reviewed for accuracy by Daniel Agrici, Founder & Lead Developer · Editorial policy
Related Calculators
✅Onboarding Time-to-Value Estimator
Calculate user onboarding completion rates and optimize time to value
🧮3D Print Time Support Estimator
Calculate 3d print time support estimator with inputs, formulas, and instant results.
🧮Backup Restore Time Estimator
Calculate backup restore time estimator with inputs, formulas, and instant results.
🧮Bayesian Posterior Probability Estimator
Calculate bayesian posterior estimator with inputs, formulas, and instant results.
🧮Car Rental Total Cost Estimator
Calculate car rental total cost estimator with inputs, formulas, and instant results.
🧮CDN Caching Benefit Estimator
Calculate cdn caching benefit estimator with inputs, formulas, and instant results.
🧮Cloud Cost Estimator Heuristic
Calculate cloud cost estimator heuristic with inputs, formulas, and instant results.
🧮Customs Duty Estimator Heuristic
Calculate customs duty estimator heuristic with inputs, formulas, and instant results.