A Statistical Dispatch on Small Samples · Methodology, 2026
The Sports Page
Making the numbers mean something since the first pitch
Vol. I, No. 32April 29, 2026Distributed Free to Friends & Family

When the Number Starts to Mean Something

A hitter goes .450 in April and fans call him the MVP. He cools off and they call him finished. Both readings are wrong for the same reason: too few at-bats. Batting average needs about 910 of them before it means much. Strikeout rate needs 60. Here is the card.
By The Professor · The Sports Page · A Reader’s Pocket Guide
150
PA for Batting Average
50
IP for ERA (Weak)
100
Attempts for FG%

“Stabilization” sounds technical. It is simple.

A stat stabilizes at the point where a player’s own number starts telling you more about him than the league average does.

Below that point the number is nearly empty. You would predict his future better by ignoring his hot streak and using the league average. Above it, his own number carries real signal.

The numbers below are those thresholds. Each is the point where about half of what you see is real ability and half is still luck.

Reference Table

StatSportSample size for reliabilityNotes
Strikeout rate (K%)MLB batting~60 PAAmong the fastest to stabilize
Walk rate (BB%)MLB batting~120 PAApproach is sticky
Batting averageMLB~910 PANotoriously noisy; often requires multi-year samples
On-base percentageMLB~460 PAStabilizes faster than BA (walks help)
Slugging / ISOMLB batting~550 PAPower is moderately sticky
HR rateMLB~170 PAHR/PA stabilizes relatively quickly
BABIP (batter)MLB~820 PAMostly luck until very large samples
ERAMLB pitching~150 IPFragile at seasonal samples; regressing to FIP helps
K-BB% (pitcher)MLB pitching~70 BFVery fast; usable quickly
FG% (2-point)NBA / WNBA~100 attemptsShooters stabilize by ~25 games
3-point %NBA / WNBA~750 attemptsTakes a full season-plus
Passer ratingNFL~100 attemptsOne full game is not enough
Kicker FG%NFL~30 attemptsRoughly a full season at mid-range
Save % (SV%)NHL goalies~1,400 shotsA full season plus change

How to Use This

The table comes down to three rules, and they work in any sport.

One. If a rate stat has not reached its threshold yet, trust the player’s career rate instead of this season’s streak. For a rookie, use a league baseline.

That is the real answer to “who is the MVP through April?” The MVP through April is usually whoever won it last year.

Two. Counting stats are different. Home runs, sacks and goals pile up rather than average out, so they have no threshold in this sense. Ten home runs in April really are ten home runs.

Three. Some stats settle much faster than others. Strikeout rate for a hitter, or strikeouts minus walks for a pitcher, firm up long before batting average or ERA do.

So when you want to know in April whether a player is real, look at those. Not the headline number.

“The first stat to trust is the fastest one to stabilize. Strikeout rate tells you what batting average wants to be when it grows up.”

— The Professor, on which April numbers are actually real

Save this table. It is what we will point at whenever this newsletter, or a reader, is tempted to overreact to a small samplei.

Got a stat that doesn’t make sense?

Send it. We’ll find what the math is hiding — and we just might write the next issue about it.

Submit via GitHub → Or Email Patrick
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