Sassuolo vs AC Milan Serie A prediction & result
Final score: Sassuolo 1-1 AC Milan.
Before kick-off the model made it 26% Sassuolo, 27% draw, 47% AC Milan — fair odds of 3.85, 3.70 and 2.13. Fair odds are simply 100 ÷ the probability; they are the model's own number, not a bookmaker's price.
Most likely scoreline: 0-1.
The model got this one wrong.
Published · updated
Has the model earned this number?
It puts AC Milan at 47% here. Across 3,801 settled matches (as of 16 October 2026), 1,771 forecasts have landed in the 40–50% band; those outcomes actually happened 45.6% of the time, against an average forecast of 43.8%. In this range the two line up, so the figure above can be read literally.
Every settled prediction on this site is scored against an uninformed baseline, band by band, and published whether or not it flatters the model — see the full record.
How the model saw it, minute by minute
Rebuilt after the match from the model's pre-match expected goals, frozen in the log before kick-off, plus the score and cards as they stood at each minute — never anything later. A ball marks each of the 2 goals. The same replay scores the in-play model on the track record.
Match analysis
Match timeline
Match stats — Sassuolo vs AC Milan
Goals against chances
Expected goals totals what the openings were worth, so the gap between it and the score is the finishing — and the luck. Under half a goal either way is called level: xG is an estimate and a smaller gap than that is inside its own error.
Line-ups
- 49A. MurićG
- 20I. Van der BremptD
- 15D. Ćaleta-CarD
- 16F. LeysenD
- 3J. DoigD
- 17Vasilije AdžićM
- 18N. MatićM
- 50D. BakolaM
- 10D. BerardiF
- 94S. EspositoF
- 45A. LaurientéF
- 6S. WalukiewiczD
- 7C. VolpatoM
- 80S. TuratiG
- 42K. ThorstvedtM
- 55I. SulemanaM
- 19L. SkjellerupF
- 12G. SatalinoG
- 26C. OdenthalD
- 33Rafael ObradorD
- 16M. MaignanG
- 34Mario GilaD
- 46M. GabbiaD
- 31S. PavlovićD
- 2P. EstupiñánD
- 21S. ChukwuezeM
- 80Y. MusahM
- 12A. RabiotM
- 22Diego MoreiraM
- 11C. PulišićM
- 9Gonçalo RamosF
- 73F. CamardaF
- 41L. P. BouyerG
- 33D. BartesaghiD
- 96L. TorrianiG
- 70A. CissèM
- 23F. TomoriD
- 42F. TerraccianoD
- 14L. ModrićM
- 8R. Loftus-CheekM
Form going into Sassuolo vs AC Milan
Sassuolo
- L1-2away to Monza18 September 2026
- W3-2Juventus13 September 2026
- D2-2away to Bologna6 September 2026
- W2-1Torino29 August 2026
AC Milan
- W3-0Lecce20 September 2026
- D2-2away to Lazio12 September 2026
- D1-1away to Juventus6 September 2026
- W2-0Venezia28 August 2026
What these results say
- Sassuolo scored in every one of these 4 matches.
- Sassuolo conceded in every one of these 4 matches.
- Every one of these 4 matches for Sassuolo had three goals or more.
- AC Milan went unbeaten through these 4 matches.
- AC Milan scored in every one of these 4 matches.
Up to 5 matches before kick-off, most recent first. The model rates each side on its goals over this season and last, adjusted for the opposition, rather than on these results alone, so read them as context — how the ratings are built.
Serie A table
| # | Team | P | W | D | L | GF | GA | GD | Pts |
|---|---|---|---|---|---|---|---|---|---|
| 11 | Sassuolo | 6 | 2 | 2 | 2 | 10 | 10 | 0 | 8 |
| 5 | AC Milan | 6 | 3 | 3 | 0 | 11 | 5 | +6 | 12 |
Where the two sides stand today, not on the day of this match. Full table
Head-to-head: Sassuolo vs AC Milan
- 11 October 2026Sassuolo 1–1 AC MilanSerie A
- 3 May 2026Sassuolo 2–0 AC MilanSerie A
- 14 December 2025AC Milan 2–2 SassuoloSerie A
- 3 December 2024AC Milan 6–1 SassuoloCoppa Italia
- 14 April 2024Sassuolo 3–3 AC MilanSerie A
- 30 December 2023AC Milan 1–0 SassuoloSerie A
Leading scorers: Sassuolo and AC Milan
Sassuolo
GoalsAssists
- Vasilije Adžić31
AC Milan
GoalsAssists
- A. Rabiot32
- Diego Moreira30
Top 3 by league goals this season. Player availability is not part of the model — injuries and suspensions are a planned improvement.
Goal trends
Over 1.5 goals
Over 2.5 goals
Over 3.5 goals
Both teams score
Outer rings: how often each side's most recent league matches before kick-off (up to 10 games; the count is under each ring) went over the line. Middle ring: the model's own probability for this match, from the same expected goals as the prediction above. Past matches are context; the middle ring is the estimate. Not betting advice.