Draft Science · Snake drafts

Should you punt from pick one? 4,480 simulated snake seasons per build

Pikola · Published 4 October 2026 · Data and how to cite

In a 14-team head-to-head snake league where no other team punted, no punt named from the first pick won more titles than the same engine left to draft balanced. Four of six lost by more than twice their error under Categories, five of six under One Win.

We asked because the usual case for punting is that it costs a few regular-season weeks and wins the playoff matchups that matter. So we measured titles, not just weeks. In this setup a planned punt lost both.

6punts named before the first pick, under two scoring formats
4,480simulated seasons per build: 112 paired drafts, 40 seasons each
0won more titles than Balanced, in either format

Read this first

What this study is, and is not

Snake drafts only. In an auction a punt saves money that the plan can spend elsewhere.
14 teams, one roster shape. PG, SG, G, SF, PF, F, two C, two Util, three bench. The standard nine categories (9-cat).
One room type, and nobody else punts. The other 13 teams are bots. In turn, they draft by average draft position with a little noise, by ADP with positional need, and by Pikola's own player values. We call it the mix room. None of them punts, and nobody drafts around a punter.
The same drafter on both sides. Balanced is Pikola's engine with no category named. Each punt is the same engine told, before pick one, to give the category up. So the question measured is whether naming a punt beats letting the engine choose. It is not a human punter against a human drafting balanced.
Measured on the engine as it was on 2 October. Two details changed on 3 October. Naming threes then also halved the weight on points, so the threes row is a threes-and-half-points build and probably overstates a pure threes punt. And a named punt now counts as one of the plan's allowed concessions (two under Categories, three under One Win) rather than adding to them. Under One Win the run also capped concessions at two where the app allows three.
Simulated seasons. Played from pre-season projections, with two roster spots streamed a week. No real games, injuries or trades.
A title is the simulator's playoffs. The top eight of 14, three one-week rounds, each won by the majority of categories, a tie to the higher seed.
"Error" is one standard error of the paired difference across the 112 draft pairs, in percentage points. The 40 seasons of one draft share a roster, so they do not count as 40 independent trials. We call a gap real when it is more than twice the error.
Trust the gaps, not the levels. Balanced wins about 31% of titles in this room, far more than 1 in 14, because the bots draft off lists and don't adapt. Both sides of every comparison share that room.

What we ran

Seven builds. Balanced names no category. The other six name a punt before the first pick: field goal percentage, turnovers, assists, free throw percentage, free throws and turnovers together, and threes. Each ran under two Yahoo head-to-head scoring formats.

Categories. Every category is its own result in the standings, so a week can go 5–4. Weekly win rate here is the share of category results won in the regular season.
One Win. The week goes to the team that wins more categories. Weekly win rate here is the share of weeks won.

Title rate is the share of the 4,480 seasons the build won. Charts 1 and 2 show the punt build minus Balanced on the same drafts, in percentage points, with its error, the rows in one order: the cheapest punt first, by its average title cost across the two formats.

Titles

Chart 1

Title rate against Balanced

Percentage points. Thick whisker: ± one paired standard error; thin: ± two. A bar whose thin whisker reaches zero is drawn hollow. Balanced: 30.8% of titles under Categories, 32.1% under One Win.

CategoriesOne WinHollow: within two errors of Balanced

No bar is above zero. The three hollow bars are within two errors of Balanced; the other nine are not. Threes was run with points at half weight as well (see the limits).

Turnovers and field goal percentage are the cheapest punts, and under Categories neither can be told from zero (−1.8 ± 1.0 and −1.4 ± 1.1). Under One Win only turnovers stays within two errors (−1.7 ± 1.1); field goal percentage does not (−3.4 ± 1.0). Threes is the most expensive, −8.1 ± 1.1 and −11.2 ± 1.0, off a Balanced title rate of 30.8% and 32.1%.

Most of the loss is in the playoffs themselves. Every build made the playoffs in nearly every season (Balanced 97%, the punts 88% to 97%, implied by the two title columns), so a punt still gets its playoff weeks; it wins fewer of them. Once in, Balanced won 31.6% of its playoffs under Categories against 25.2% to 30.5% for the punts, and 33.1% against 23.5% to 32.2% under One Win. For turnovers and field goal percentage that gap is one to three points, about the size of the error; for threes it is six to ten. The 5–4 weeks against the top of the field are where a named punt loses, not where it gains.

Weeks

Chart 2

Regular-season weekly win rate against Balanced

Percentage points, on the same scale as chart 1. Error bars as above. Balanced: 59.5% of category results under Categories, 72.0% of weeks under One Win.

CategoriesOne Win

Every punt also wins fewer regular-season weeks. The errors are small here because a season has many weeks and only one title.

Titles fell by about as much as weekly wins, or up to twice as much (turnovers under One Win is the exception: −2.1 weeks, −1.7 titles), and the builds rank the same by either measure within their errors. The weekly win rate, which is far easier to measure, orders these builds as their titles do.

What a punt does to the categories

Balanced already punts softly. It wins field goal percentage in 44% of weeks and turnovers in 47%, the categories the engine finds cheapest to concede. Naming a punt takes its category down to between 2% and 30% of weeks, and buys back less than it gives: across all nine categories the free-throw punt's weekly win rate is 2.1 points lower, about 19 fewer category wins per 100 weeks.

Chart 3

Punting free throws, category by category

Share of regular-season weeks each category was won, under Categories. From Balanced to the free-throw punt.

BalancedPunt FT%

Five of nine categories were kept in the run's notes for this punt; the other four are not shown.

What we'd take from this

In this setup, a punt planned from pick one costs titles. Between about 1.4 and 11.2 points of title rate, off a base of about 31. Nine of the twelve punt-and-format pairs are outside two errors.
The format that is supposed to reward punting did not. Under One Win, where five categories of nine win the week, turnovers and assists cost about what they cost under Categories and the other four cost two to three points more (threes −11.2 against −8.1, free throws −6.4 against −4.5). The playoffs are scored the same way in both formats, so this is the regular season and the roster the engine built, not the scoring. Each format gap is one to two errors on its own: a lean, not a result.
Turnovers is the only punt within two errors of Balanced in both formats. It still did not win more titles. If you are going to punt anyway, it is the one this study cannot rule out.
A punt that emerges from your roster is a different question. Here the punt was named before the first pick and the engine drafted to it all the way. A separate run that let the engine follow the lean its roster already had measured no title effect past two errors; that is a different question and, if it gets a page, a different page.
This is not "punting is dead". It is one draft type, one league size, one room of bots that never punt, and six punts. It is the narrow claim in the first sentence, with its error bars.

What this doesn't show

Not measured here: auctions, where a punt frees money; rooms where anyone else punts; ADP-only and value-only rooms; other league sizes; a punt chosen mid-draft. A follow-up needs the same table in those rooms, an auction row per punt, and a room where some bots punt. If we run them, they go here, with the same error bars.

Data

Both tables, as tidy rows: punting.csv (14 rows: format, build, weekly win rate, title rate, each punt's difference from Balanced with its error, and the title rate once in the playoffs). Chart 3's five categories: punting-ft-categories.csv. Aggregates only. No player is named. The raw simulation outputs are not published.

Format	Build	Weekly win %	vs Balanced	Title %	vs Balanced	Title % once in the playoffs
Categories	Balanced	59.5		30.8		31.6
Categories	Punt TO	58.5	−0.97 ± 0.14	29.1	−1.76 ± 1.03	30.2
Categories	Punt FG%	58.4	−1.10 ± 0.15	29.5	−1.36 ± 1.09	30.5
Categories	Punt AST	57.7	−1.79 ± 0.18	28.1	−2.68 ± 1.08	29.2
Categories	Punt FT%	57.4	−2.14 ± 0.17	26.3	−4.49 ± 1.07	27.6
Categories	Punt FT% + TO	56.6	−2.87 ± 0.19	25.0	−5.83 ± 0.96	27.1
Categories	Punt 3PM	54.1	−5.41 ± 0.16	22.7	−8.10 ± 1.08	25.2
One Win	Balanced	72.0		32.1		33.1
One Win	Punt TO	69.9	−2.11 ± 0.35	30.4	−1.65 ± 1.08	32.2
One Win	Punt FG%	69.9	−2.07 ± 0.38	28.7	−3.35 ± 1.00	30.2
One Win	Punt AST	69.5	−2.53 ± 0.40	29.6	−2.52 ± 1.01	31.1
One Win	Punt FT%	68.5	−3.48 ± 0.36	25.6	−6.43 ± 0.98	27.3
One Win	Punt FT% + TO	66.9	−5.10 ± 0.42	23.8	−8.30 ± 1.01	25.8
One Win	Punt 3PM	64.2	−7.82 ± 0.49	20.8	−11.23 ± 1.01	23.5

Cite as: Pikola, "Should you punt from pick one?", pikola.app/research/punting, October 2026.

Free to quote with a link. The text, charts and data on this page are published under CC BY 4.0. Questions about the method: hello@pikola.app.

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