Model raises Miami departure delay risk 3–6 PM Sunday to 79%
- Current state
- Resolved: closed without a new report (The forecast window has started; measured delays are reported separately as observed items.)
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- Updates
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Tailodds reports what the FAA publishes, what we measure and what our model forecasts. It doesn’t control airport operations or change bookings; check with your airline about your trip.
Updates oldest first
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Initial Forecast
Model forecasts 48% delay risk for Miami departures 3–6 PM Sunday
Tailodds’ model gives the 101 departures scheduled from Miami 3–6 PM Sunday an average 48% chance of leaving 15+ minutes late. With calm weather the same flights would average 32%. From the 6:00 PM EDT forecast (model famA-fc-v3). This is a forecast, not a report of delays.
Evidence for this update
Target MIA departures 3–6 PM 2026-11-01 (15+ min late) Probability (calibrated, mean per flight) 48% over 101 flights Forecast cycle · horizon Sat Oct 31, 6:00 PM EDT · 21.0 h ahead Model version famA-fc-v3 Source event time Ingested Published here (2026-10-31 22:58 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
Escalation Forecast
Updated model puts Miami departure delay risk 3–6 PM Sunday at 59%
What changed: 48% → 59% since the 6:00 PM EDT forecast (model changed)
Tailodds’ model gives the 118 departures scheduled from Miami 3–6 PM Sunday an average 59% chance of leaving 15+ minutes late. With calm weather the same flights would average 36%. From the 7:00 AM EST forecast (model famB-sd-v4i). The model changed since the previous item (from famA-fc-v3), so some or all of this change comes from the new model rather than new information. This is a forecast, not a report of delays.
Evidence for this update
Target MIA departures 3–6 PM 2026-11-01 (15+ min late) Probability (calibrated, mean per flight) 59% over 118 flights Forecast cycle · horizon Sun Nov 1, 7:00 AM EST · 6.5 h ahead Model version famB-sd-v4i (changed since the previous update) Source event time Ingested Published here (2026-11-01 13:27 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
Escalation Forecast
Model raises Miami departure delay risk 3–6 PM Sunday to 67%
What changed: 59% → 67% since the 7:00 AM EST forecast (same model, same window)
Tailodds’ model gives the 118 departures scheduled from Miami 3–6 PM Sunday an average 67% chance of leaving 15+ minutes late. With calm weather the same flights would average 35%. From the 9:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Evidence for this update
Target MIA departures 3–6 PM 2026-11-01 (15+ min late) Probability (calibrated, mean per flight) 67% over 118 flights Forecast cycle · horizon Sun Nov 1, 9:00 AM EST · 5.0 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-01 14:58 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful? -
Escalation Forecast
Model raises Miami departure delay risk 3–6 PM Sunday to 79%
What changed: 67% → 79% since the 9:00 AM EST forecast (same model, same window)
Tailodds’ model gives the 118 departures scheduled from Miami 3–6 PM Sunday an average 79% chance of leaving 15+ minutes late. With calm weather the same flights would average 44%. From the 11:00 AM EST forecast (model famB-sd-v4i). This is a forecast, not a report of delays.
Evidence for this update
Target MIA departures 3–6 PM 2026-11-01 (15+ min late) Probability (calibrated, mean per flight) 79% over 118 flights Forecast cycle · horizon Sun Nov 1, 11:00 AM EST · 3.0 h ahead Model version famB-sd-v4i Source event time Ingested Published here (2026-11-01 16:57 UTC) Sources Tailodds forecast Provenance forecast_blocks forecast-blocks-v1 · config 2026-10-17.1 · writer template-v1 Was this useful?
Closed Sun Nov 1, 3:00 PM EST: The forecast window has started; measured delays are reported separately as observed items.