How accurate is WaitScout's wait-time forecast?

This piece is a plain explanation of how WaitScout measures its own forecast accuracy, what the current numbers are, and — just as important — what those numbers do not mean. Every figure below is graded against the posted wait WaitScout itself observed, not a guest-reported wait; see the posted wait guide for what "posted" means and why it moves in steps.

What "grading a forecast" means

A forecast is a claim about a future value: this ride will be about this long at this hour. Grading it means waiting until that hour arrives, recording the median posted wait WaitScout observed for that ride and hour, and comparing the two. A forecast that is never checked against reality afterward is not a measured claim — it is marketing copy.

WaitScout grades a forecast this way once the hour it predicted has passed and a posted wait exists to check it against, at the ride-hour level, nightly. Of 57,791 forecasts logged all-time, 56,387 have been graded this way; the remaining 1,404 carry a seasonless match status rather than a graded matched one, so they sit outside this population, from June 30 through September 13, 2026.

The metric: mean absolute error

The headline number on WaitScout's accuracy report is mean absolute error, or MAE — the average size of the gap between a forecast and the posted wait that followed, without regard to whether the miss ran high or low. If a forecast said 20 minutes and the posted wait at that hour was 26, that is a 6-minute error. Average all of those errors together and you get MAE.

MAE is a useful, honest metric because it does not let large errors hide behind small ones the way an average of signed errors can (a +10 and a -10 miss would otherwise average out to a misleading "0").

The current numbers

Over the 30 days ending September 13, 2026 (27 days with graded forecasts in that window), measured against the posted wait that followed:

• WaitScout's forecasts: 19,997 graded, of which 12,118 were also forecast by the upstream industry feed WaitScout compares against.
• On that matched population: WaitScout's forecasts carried a mean absolute error of 7.02 minutes, against 10.41 minutes for the upstream feed — the only two figures that belong beside each other in a sentence, since they cover the identical set of ride-hours.
• 80.2% of WaitScout's forecasts landed within 10 minutes of the posted wait that followed.
• Head-to-head on the matched population, WaitScout beat the upstream feed on 54.7% of individual ride-hours.

That is roughly a one-third reduction in typical forecast error versus the upstream baseline, on the same matched set, over the same 30-day window. It is a real, measured gap — not a marketing estimate — and it is also not the whole story, which is the point of the next section.

What these numbers do not claim

Being honest about a methodology means being honest about its edges.

• An average error is not a per-ride, per-hour guarantee. Some ride-hours miss by more than 7.02 minutes; some miss by less. This article does not break the error down by ride or attraction category — see the live accuracy report for the current per-park breakdown.
• A 30-day window is a snapshot, not a permanent score. Seasonality, special events, and operating changes can shift accuracy up or down over time. The numbers in this article were true as of the "last checked" date above; the live accuracy page reflects current figures, which may differ from what is written here by the time you read it.
• MAE describes typical performance, not worst-case performance. A forecast can have a good average and still occasionally be wrong by a wide margin on an unusual day.
• Beating the upstream baseline is not the same as "trustworthy for exact planning." Use the forecast to compare options — is one attraction likely to be meaningfully longer than another right now — rather than to plan a schedule down to the minute.
• Every figure here is a posted-wait statistic. WaitScout does not measure how long anyone actually stood in a line; both the forecast and the outcome it is graded against are posted-wait numbers.

Why publish this at all

A forecasting tool that will not tell you how often it is wrong is asking for blind trust. WaitScout's position is the opposite: the accuracy numbers are public, recomputed nightly, and the comparison against the upstream feed is left in even in periods where the gap is smaller than it is today — the 30 days ending August 15, 2026 measured a 2.81-minute gap (6.31 vs. 9.12 minutes MAE, matched population) against today's 3.39-minute gap. If the numbers get worse, the honest version of this article is the one that says so — not one that quietly stops mentioning them.

Methodology

Every figure above comes from a query against WaitScout's own forecast_scoreboard table, run directly for this guide. Two different columns are cited below, for two different populations — they are not interchangeable, and this section states which is which.

• All-time graded (56,387) — count of forecast_scoreboard rows with a non-null abs_err_pred (the original per-hour forecast error), score dates June 30 through September 13, 2026: the full history WaitScout has graded on that column. This is a broader, older population than the one below; do not compare it directly to the 30-day figures.
• 30-day matched-population MAE (7.02 vs. 10.41 minutes), within-10-minutes rate (80.2%), and head-to-head win rate (54.7%) — all four use abs_err_shrunk, the error of pred_p50_shrunk, the value WaitScout actually serves today and the same column the public accuracy report's forecast_accuracy_summary uses. The abs_err_shrunk population starts July 8, 2026 (not June 30 — the shrinkage model shipped later), and this article's 30-day window (August 16 through September 13, 2026, 27 scheduled days) sits entirely inside it: 19,997 forecasts graded on abs_err_shrunk in that window, of which 12,118 also had an upstream forecast for the same ride-hour. WaitScout's MAE is averaged over that matched 12,118, not the wider 19,997, so it is directly comparable to the upstream figure. The within-10-minutes rate (80.2%) is over the full 19,997; the head-to-head win rate (54.7%) is over the matched 12,118.

For the current, live figures rather than the snapshot in this piece, see the public accuracy report.

WaitScout is an independent planning tool and is not affiliated with, endorsed by, or operated by The Walt Disney Company. All park names are used for identification purposes only.