Wizz Air · All You Can Fly Archive & Routes
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Wizz Air

All You Can Fly — Daily Route Archive

X snapshots
Routes available per day · scrub or click the timeline

Snapshot

Covers departures between
routes listed as
AYCF-eligible
on this day
Added today
Removed today
Cities served

Why this day looks the way it does

Likely drivers

Departure board

Routes for :
Legend
Route status
Available New today Dropped today
Season
Winter Summer Spring Autumn
Wizz Air

All You Can Fly — Route Map Archive

showing every route from all 577 snapshots
all
drag to pan · scroll to zoom · click a city for its departures & arrivals
How to read this map
Arc color
Departures from selected city Arrivals into it Both directions, merged Retired route
Arc weight
Brighter & thicker = persisted across more snapshots
Views
All-time = the full history A date = that day's 3-day booking window
Tips
Click a city to filter its network Each route's strip = its last 30 days at a glance

The all-time network · one-way routes

Cities
One-way routes ever
Backbone ≥90%
Still active

Top hubs · all-time one-way routes

Wizz Air

All You Can Fly — Insights & Records

derived from 577 snapshots
The pass itself · how All You Can Fly works
Launched
Aug 2024
Announced 13 Aug 2024. This archive starts 25 Sep 2024, the first eligible flight date.
Annual price
€499
Billed annually.
Per-flight fee
HUF4,190 Ft
GBP£8.99
RONlei 51,99
DKK79 kr
NOK125 kr
Flat booking fee per segment, on top of the annual fee.
Each release
10,000 passes
Capped per phase. Now in its third edition, across 34 countries.
Booking window
72 hours
Seats open 3 days before departure — hence the rolling 3-day PDF snapshots.
Typical use
~9 flights / yr
Wizz Air's stated average. List refreshes daily at 07:00 CET.
Key rules & caveats
  • Personal item only — bags cost extra.
  • No domestic Italy flights on the pass.
  • Two no-shows ends the membership.
  • Auto-renews yearly (not for Israeli residents).
  • No changes — rebook instead.
  • 30-day withdrawal if unused.
  • Seats not guaranteed.
  • First in Europe — like Frontier's US pass.
Figures reflect Wizz Air's published terms and reporting through early 2026; pricing and coverage vary slightly by phase.
Records from the archive · all figures computed from the data
Seasonal rhythm · when the pass is most generous
Average routes available — by calendar month
Season averages, year over year
Whole-year average
Week-by-week — average routes available across the archive
Where the routes point — destination region by season
Shares are of every directed route in each season, grouped by the latitude of the destination city: Nordic/Baltic (55°N+), Central Europe (45–55°N), Mediterranean (36–45°N) and Southern — North Africa, the Gulf and the Middle East (below 36°N).
The network's reach · what's actually bookable
Most one-sided routes — the trip-planning traps
Pairs where one direction is far more available than the return. On the pass these are easy to fly out on but hard to fly back — you may need a different return route. Bars show each direction's share of all 577 snapshots.
Long-haul you can actually rely on
The longest routes that are also dependable — present in at least half of all snapshots. Unlike a one-off longest-route record, these are real options for covering big distances on the pass.
Most dependable one-way routes — share of all snapshots
How the network changed
Cities that dropped off the pass
Cities that joined later
Reliability shifts — routes trending up or down lately
Going quiet
A raw day-to-day route diff is almost all noise here — the PDF's rolling booking window advances by one day at a time and touches hundreds of routes regardless of any real change. This instead compares each route's presence over the last snapshots against the before that, so what's left is routes that genuinely went from reliable to rare.
Picking up
Same comparison, the other direction — routes that went from rarely available to showing up on most recent days.
Wizz Air

All You Can Fly — Route Count Forecast

experimental model
Read this first. This is an extrapolation, not a promise. The archive covers about 20 months — barely one full seasonal cycle — and the program grew and absorbed the Abu Dhabi base closure during that time, so seasonal and trend effects are partly entangled. The model assumes recent patterns simply continue: it cannot foresee new bases, route cuts, price changes or another shock. It is most trustworthy 1–2 weeks out and the uncertainty band widens fast beyond a month. Treat the monthly numbers as a rough sketch, not a fact.
Projected daily route count
History & forecast — routes available per day
Day-by-day — the reliable horizon
The next 14 days, where the model performs best. Each row is a point estimate with an ~80% band. Weekend departure windows (amber) run higher because they surface more leisure routes.
How accurate is it? · honest backtest
Before trusting any forward number, here is how the same model performed when asked to predict days it had never seen. For each horizon the model was retrained on data up to a cut-off, then scored against the actual count that many days later — repeated across the last 90 days of the archive (walk-forward validation). The model's error is shown next to a naive baseline — simply repeating the same weekday's count from the previous week — so you can see whether the modelling actually earns its keep.
How the model works
Three multiplied components
A day's predicted count is trend × month factor × weekday factor. The trend is a straight line fitted to the most recent ~8–9 months only — the post-Abu-Dhabi regime — capturing steady network growth. The month and weekday factors are multipliers measured from how far each month and weekday sat above or below that trend line.
Weekday factor — solid signal
Backed by 80+ observations per weekday. Monday and Sunday departure windows run highest, Thursday lowest.
Month factor — shrunk on purpose
With only one or two observations per calendar month, raw monthly figures are noisy. Each month factor is pulled toward its season average (winter / spring / summer / autumn), which has far more data behind it — trading a little detail for stability.
Uncertainty band
The shaded band is not a guess — it is the model's own backtest error at each horizon. The 80% band spans roughly ±1.3× the typical miss; it widens with the square root of how far ahead you look, because errors compound.
Recent-actuals anchor
A pure trend model snaps back to its trend line and ignores that the last few actual days may sit above or below it. The forecast adds a recency-weighted recent residual — how far the latest days landed from the model — fading out over about three weeks.
Method. Multiplicative decomposition (trend × monthly × weekday) fitted only on the archive's own daily counts; no external inputs. Its settings are chosen automatically by walk-forward validation rather than hand-picked. Monthly factors are shrinkage-weighted toward season-level averages. Bands come from walk-forward backtest RMSE, interpolated by horizon. The model is deliberately simple — with roughly one seasonal cycle of data, a more complex model would overfit. It carries no knowledge of Wizz Air's plans and should be read as "if recent behaviour continues."