All predictions
UEFA Europa LeagueMiss4 min read

Sparta Prague vs Lillestrom Prediction & AI Analysis

Kickoff: 2026-10-15 16:45 UTCSimulation observed: 2026-10-05 01:16 UTC

Prediction Against Result

Sparta Prague 1–1 Lillestrom, UEFA Europa League. Below is what this page published before kickoff, set next to what actually happened.

  • Final score — Sparta Prague 1–1 Lillestrom
  • Model's leading outcome before kickoff — Sparta Prague win, roughly 69%
  • Sparta Prague win — the simulation gives roughly 69%
  • Draw — the simulation gives roughly 17%
  • Lillestrom win — the simulation gives roughly 14%
  • Verdict — miss: the leading outcome did not come in

The model's leading outcome was Sparta Prague win at roughly 69%. It did not come in — the match finished 1–1. That is a miss, and it stays on the record as one.

Reading the Split

The model puts real weight behind one side: Sparta Prague win at 69%, 52 points clear of the next outcome, Draw at 17%. On a three-way market that is a clear lean rather than a close call.

Across the 340 match pages published on this site, the median favourite carries 51%. This one's 69% sits above that line — by our own standard, a more lopsided fixture than usual.

The simulated goal averages are Sparta Prague 2.55 and Lillestrom 1.07, 3.62 between them, with the scoring expectation tilted towards Sparta Prague. That total is above the 3.29 median across our published pages.

One thing 69% is not: a statement that this will happen. The remaining 31% belongs to the same distribution and describes matches that get played too. A 69% call that came in every single time would mean the number had been written wrong, not that the model is strong.

Where the Result Landed in the Distribution

The outcome that landed was Draw, which the model had at 17%, behind Sparta Prague win on 69%. That is a miss and it is counted as one. An outcome given 17% is supposed to occur at roughly that frequency; it occurred here. What that changes is which column this row sits in — not how the pre-match numbers should have been written.

On goals: the simulation totalled 3.62 across the two sides, and the match produced 2.

Sparta Prague and Lillestrom on Earlier Pages

Sparta Prague or Lillestrom has appeared on 2 earlier pages of ours. Each is linked below with the probability split we published at the time and, where the fixture has settled, what the match actually produced.

Where This Fixture Sits in Our UEFA Europa League Record

We have published 54 UEFA Europa League match pages, this one included. 54 of them have settled: 33 graded a hit, 21 graded a miss, 0 void. Counts, not a rate — if you would rather count them yourself, they are all at Predictions.

What One Match Proves

A single fixture settles nothing about a model, in either direction. A side with less than an even chance that wins was never a foregone conclusion, and one that loses was never a blunder — the number was a statement about frequency, and frequency only becomes visible over a run of matches. The honest test is the accumulated ledger, which is why every published signal is settled in public instead of the good ones being quoted twice.

Timestamps

The simulation was observed at 2026-10-05 01:16 UTC; kickoff was 2026-10-15 16:45 UTC. The prediction was published before kickoff and the timestamp is verifiable — which is the only reason this comparison is worth printing.

Check the Rest of the Record

Live signals from the same system are published on Telegram through @Oddsflowteam_bot, each timestamped before its match. The weekly ledger on this site lists them line by line — timestamp, market, price, final score, result — with the losses in the same type as the wins.

Verify This Page Yourself

Both ends of this page are now fixed: the file was written 1 day 18 hours before kickoff (generated 2026-10-13 22:10 UTC, kickoff 2026-10-15 16:45 UTC), and the result was appended only afterwards. An unedited copy of the pre-match numbers sits in the public mirror as record/data/sparta-prague-vs-lillestrom-1636338.json — browse the public record. The commit history is the more interesting half of that repository: it shows when each number was written down, which is the one part of a record that cannot be reconstructed later. The grading rules behind the verdict above are set out in How We Count Our Record.

These pages publish model probabilities for analysis only — they are not advice of any kind. Football outcomes are uncertain by definition; never make a decision on a prediction that you could not afford to get wrong.