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Serie A
Sassuolo SassuoloHome
LLLDL
Monday, Nov 2, 2026 Reggio Emilia
Fiorentina FiorentinaAway
LLLDW

Sassuolo vs Fiorentina Prediction

The Sassuolo vs Fiorentina football prediction for November 2, 2026 in Serie A, Italy uses the newest available model signal to frame the matchup before kick-off. The current win probabilities are Sassuolo 35%, draw 35% and Fiorentina 30%. Expected goals are Sassuolo -3.5 and Fiorentina -2.5. Model advice: Combo Double chance : Sassuolo or draw and +1.5 goals. Use the probability split as one layer of research, then check form, squad news, H2H trends, venue context and live market prices before making a match assessment.

Match PredictionConnected model prediction
Current
Sassuolo35%
Draw35%
Fiorentina30%
Model adviceCombo Double chance : Sassuolo or draw and +1.5 goalsStrongest probability: 35%
Likely Score-3.5–-2.5Expected goals
Goals Market+1.5When returned by feed
Winner SignalSassuoloWin or draw
Double Chance1XOnly when supported

Key Match Insights

  • Sassuolo has the strongest current 1X2 model signal at 35%.
  • The connected prediction feed currently returns an expected-goals score of -3.5–-2.5.
  • The available goals-market signal is +1.5.
  • Combo Double chance : Sassuolo or draw and +1.5 goals

Model Comparison

Home vs away signal
Form50% / 50%
Attacking potential47% / 53%
Defensive potential48% / 52%
Poisson distribution70% / 30%
Head to head50% / 50%
Goals H2H40% / 60%
Overall signal50.8% / 49.2%

Team Form

Last 5 completed matches
Sassuolo
LLLDL
Lazio2–6L
Como0–2L
Frosinone2–4L
AC Milan1–1D
Monza1–2L
50% Form Rating 50%
Fiorentina
LLLDW
Inter1–2L
Como1–3L
Genoa1–2L
Napoli1–1D
Pisa3–0W

Head to Head

Last 6 meetings
Fiorentina0–0Sassuolo
Sassuolo3–1Fiorentina
Fiorentina5–1Sassuolo
Sassuolo1–0Fiorentina
Sassuolo1–3Fiorentina
Fiorentina2–1Sassuolo

Top Prediction Signals for This Match

Strongest 1X2Sassuolo35%
Expected Score-3.5–-2.5Model goals
Goals Signal+1.5Feed market
Double Chance1XIf supported
Prediction analysis

Sassuolo vs Fiorentina prediction analysis