We take the last 7 days of checkpoint history, weight it by matching day-of-week and time patterns, and build a predictive range. No real-time data needed — just historical truth.
A single number feels precise but isn't useful. We show you the likely minimum, maximum, and average for your checkpoint at your time. You decide how much buffer to add.
Min: the fastest you might get through
Max: the longest realistic wait
Average: the most likely scenario
Confidence flag tells you how much to trust the range
The model typically predicts within ±7 minutes of actual wait times during normal conditions. Accuracy varies by airport — high-volume hubs like ATL, ORD, and JFK have tighter ranges due to more historical data. During unusual events (weather, incidents, staffing changes), confidence drops and we flag it clearly.