Lecce vs Bologna Prediction & AI Analysis

How It Finished

Final score: Lecce 1–2 Bologna in the Serie A. The pre-match distribution on this page has not been edited; it is reproduced below against the result.

• Final score — Lecce 1–2 Bologna
• Model's leading outcome before kickoff — Bologna win, roughly 48%
• Lecce win — the simulation gives roughly 25%
• Draw — the simulation gives roughly 27%
• Bologna win — the simulation gives roughly 48%
• Verdict — hit: the leading outcome matched the result

Pre-match, the simulation leaned Bologna win at about 48%. Final score 1–2: that lean was right.

Reading the Split

The model puts real weight behind one side: Bologna win at 48%, 21 points clear of the next outcome, Draw at 27%. On a three-way market that is a clear lean rather than a close call.

Across the 308 match pages published on this site, the median favourite carries 51%. This one's 48% sits right around it — an ordinary split by our own standard.

The simulated goal averages are Lecce 1.04 and Bologna 1.53, 2.57 between them, with the scoring expectation tilted towards Bologna. That total is below the 3.29 median across our published pages.

One thing 48% is not: a statement that this will happen. The remaining 52% belongs to the same distribution and describes matches that get played too. A 48% 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 Bologna win — the top line of the pre-match distribution, at 48%. Landing does not make that 48% anything close to a certainty: the other 52% described matches that were just as available from the same three numbers.

On goals: the simulation totalled 2.57 across the two sides, and the match produced 3.

Lecce and Bologna on Earlier Pages

Lecce or Bologna has appeared on 4 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.

• 2026-09-20 — AC Milan vs Lecce · AC Milan 70% / Draw 19% / Lecce 11% · finished 3–0, graded a hit
• 2026-09-19 — Bologna vs Torino · Bologna 51% / Draw 26% / Torino 23% · finished 1–1, graded a miss
• 2026-09-13 — Napoli vs Bologna · Napoli 59% / Draw 23% / Bologna 18% · finished 1–0, graded a hit
• 2026-09-13 — Lecce vs Monza · Lecce 44% / Draw 27% / Monza 29% · finished 3–2, graded a hit

Our Published Serie A Pages

Our Serie A coverage stands at 41 published pages, of which 40 now carry a result: 22 hit, 18 miss, 0 void. The miss column is printed at the same size as the hit column, and nothing has been filtered out of it. Every page is listed at Predictions.

Reading a Result Honestly

Probabilities are graded in bulk, never one at a time. The useful question after a match is not "was it right" but "does the whole run of calls land where the probabilities said it would" — a run that lands about as often as those numbers implied is a calibrated model, and a run that never misses at all mostly means the numbers were written too timidly. Either way, a single row is a data point, not a verdict.

The Pre-Match Timestamp

Observation timestamp 2026-10-01 01:29 UTC, kickoff 2026-10-11 13:00 UTC. The prediction was published before kickoff and the timestamp is verifiable; the comparison above compares two fixed things, not one fixed thing and one memory.

The Full Ledger

Every live signal from this system goes out on Telegram via @Oddsflowteam_bot with a timestamp attached, and every one is settled afterwards. The weekly ledger on this site is the complete table — wins, losses, halves and voids, all in one place.

Verify This Page Yourself

Both ends of this page are now fixed: the file was written 1 day 14 hours before kickoff (generated 2026-10-09 22:10 UTC, kickoff 2026-10-11 13:00 UTC), and the result was appended only afterwards. An unedited copy of the pre-match numbers sits in the public mirror as record/data/lecce-vs-bologna-1550143.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.