How Accurate Are Our Disneyland Paris Predictions?

We believe in transparency. Here's how our wait time predictions compare to actual posted times, updated daily.

44%

of predictions within 10 minutes of actual wait time

16 min

Average Error

Days Analyzed

429

Ride Predictions Made

Disneyland Paris

Most Accurate Park

Accuracy by Park

Disneyland Paris

44%

16 min avg error

Accuracy Trend (Last 38 Days)

Per-Ride Accuracy

Rides ranked by prediction accuracy. Higher is better.

Ride	Park	Accuracy	Avg Error	Samples
Star Tours: The Adventures Continue*	Disneyland Paris	100%	4 min	12
Main Street Vehicles	Disneyland Paris	100%	0 min	38
Les Mystères du Nautilus	Disneyland Paris	100%	0 min	13
La Cabane des Robinson	Disneyland Paris	100%	0 min	13
"it's a small world"	Disneyland Paris	100%	4 min	13
Le Pays des Contes de Fées, presented by Vittel	Disneyland Paris	100%	3 min	12
Disneyland Railroad Main Street Station	Disneyland Paris	100%	3 min	11
Disneyland Railroad Frontierland Depot	Disneyland Paris	100%	3 min	11
Phantom Manor	Disneyland Paris	100%	4 min	11
Le Carrousel de Lancelot	Disneyland Paris	100%	1 min	8
Mad Hatter's Tea Cups	Disneyland Paris	100%	2 min	11
Alice's Curious Labyrinth	Disneyland Paris	100%	0 min	7
Blanche-Neige et les Sept Nains®	Disneyland Paris	100%	6 min	3
Pirates of the Caribbean	Disneyland Paris	92%	6 min	12
Autopia, presented by Avis	Disneyland Paris	91%	4 min	11
Thunder Mesa Riverboat Landing	Disneyland Paris	91%	2 min	11
Casey Jr. – le Petit Train du Cirque	Disneyland Paris	86%	6 min	14
Orbitron®	Disneyland Paris	83%	7 min	12
Indiana Jones™ and the Temple of Peril	Disneyland Paris	82%	6 min	11
Les Voyages de Pinocchio	Disneyland Paris	73%	8 min	15
Buzz Lightyear Laser Blast	Disneyland Paris	31%	22 min	32
Peter Pan's Flight	Disneyland Paris	26%	20 min	38
Dumbo the Flying Elephant	Disneyland Paris	26%	18 min	38
Star Wars Hyperspace Mountain	Disneyland Paris	26%	17 min	35
Big Thunder Mountain	Disneyland Paris	24%	25 min	37

Our Methodology

Our prediction engine uses a 3-layer weighted model trained on real wait time data collected every 5 minutes from all Disneyland Paris theme parks.

Layer 1 — Day-of-Week Averages: Recency-weighted averages from the same day of week over the past 60 days. Recent data is weighted more heavily using exponential decay.

Layer 2 — Momentum: A 7-day vs 30-day trailing trend multiplier that detects whether crowds are rising or falling.

Layer 3 — Seasonal Calendar: Overlays for Spring Break, summer, holidays, and special events that historically affect crowd levels.

Accuracy is measured as the percentage of individual ride predictions that fall within 10 minutes of the actual posted wait time, calculated at end of day.