AS Roma vs Inter Milan Prediction & AI Analysis
How It Finished
Final score: AS Roma 2–2 Inter Milan in the Serie A. The pre-match distribution on this page has not been edited; it is reproduced below against the result.
- Final score — AS Roma 2–2 Inter Milan
- Model's leading outcome before kickoff — AS Roma win, roughly 39%
- AS Roma win — the simulation gives roughly 39%
- Draw — the simulation gives roughly 25%
- Inter Milan win — the simulation gives roughly 36%
- Verdict — miss: the leading outcome did not come in
Pre-match, the simulation leaned AS Roma win at about 39%. Final score 2–2: wrong. No re-framing and no "unlucky" — it goes in the loss column and it is counted there.
Reading the Split
The three numbers sit close together: AS Roma win tops the list at 39%, with Inter Milan win only 3 points behind on 36%. The model has barely separated this fixture.
Across the 351 match pages published on this site, the median favourite carries 51%. This one's 39% sits below it — harder to separate than the fixture we typically publish.
The simulated goal averages are AS Roma 1.62 and Inter Milan 1.56, 3.18 between them, split almost evenly between the two sides. That total is close to the 3.29 median across our published pages.
One thing 39% is not: a statement that this will happen. The remaining 61% belongs to the same distribution and describes matches that get played too. A 39% 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 25%, behind AS Roma win on 39%. That is a miss and it is counted as one. An outcome given 25% 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 3.18 across the two sides, and the match produced 4.
AS Roma and Inter Milan on Earlier Pages
AS Roma or Inter Milan has appeared on 3 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.
- 2026-09-14 — Inter Milan vs Udinese · Inter Milan 72% / Draw 17% / Udinese 11% · finished 5–3, graded a hit
- 2026-09-14 — Torino vs AS Roma · Torino 19% / Draw 25% / AS Roma 56% · finished 0–2, graded a hit
- 2026-09-10 — Fenerbahce vs AS Roma · Fenerbahce 38% / Draw 26% / AS Roma 36% · finished 1–1, graded a miss
Our Published Serie A Pages
Our Serie A coverage stands at 50 published pages, of which 45 now carry a result: 26 hit, 19 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 2026-09-12 02:04 UTC, kickoff 2026-09-19 16:00 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 5 hours before kickoff (generated 2026-09-18 10:10 UTC, kickoff 2026-09-19 16:00 UTC), and the result was appended only afterwards. An unedited copy of the pre-match numbers sits in the public mirror as record/data/as-roma-vs-inter-milan-1550128.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.