Frosinone vs Torino — Serie A forecast, Sunday, 1 November 2026

Serie A·Sunday, 1 November 2026·14:00
Frosinone

vs

14:00

6th vs 10th

Torino

Metis Forecast

Market-anchored distribution

Model updated

Frosinone

44%

Draw

24%

Torino

31%

Expected goals

1.63–1.31

Frosinone · Torino

Frosinone win 44% of the current Metis Forecast. Most likely scores: 1–1 (11.5%), 2–1 (9.0%), 1–2 (8.0%).More forecast detail +

Both teams score in 59% of simulations.

Those three cover 28% of outcomes; the other 72% is spread across every remaining scoreline.

The most likely Frosinone win is 2–1 (9.0%).

Frosinone score at least twice in 48%; Torino in 38%.

Scoreline distribution

Match outcomes

Both teams score59%
Over 1.5 goals80%
Over 2.5 goals56%
Over 3.5 goals34%
Over 4.5 goals17%
Team scoring & clean sheets
Frosinone clean sheet27%
Torino clean sheet20%
Frosinone score 2+48%
Torino score 2+38%
Frosinone score 3+22%
Torino score 3+15%

Model vs market

SourceHomeDrawAway
Raw Metis model46%26%28%
Market reference44%24%31%
Metis Forecast44%24%31%

Market reference: pinnacle, de-vigged (shin) · price snapshot .

The forecast combines the model’s scoreline structure with market information where a fresh price exists. The raw model is kept separate and benchmarked independently against the Pinnacle opening price.

Most likely scores

1–111.5%
2–19.0%
1–28.0%
1–07.7%
2–07.1%
0–16.6%

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Recent form

Frosinone

23 AugHvs Juventus0–1L
29 AugAvs Fiorentina3–0W
6 SeptHvs Venezia3–2W
12 SeptAvs Genoa1–1D
20 SeptHvs Como2–0W

Torino

23 AugHvs AC Milan1–2L
29 AugAvs Sassuolo1–2L
5 SeptAvs Fiorentina2–1W
14 SeptHvs AS Roma0–2L
19 SeptAvs Bologna1–1D

Head to head

No previous meetings in the Metis results archive for this competition.

Model context

StatFrosinone
(Home · 4 matches)
Torino
(Away · 4 matches)
BTTS rate50.0%75.0%
Over 2.5 rate50.0%75.0%
Clean sheet25.0%25.0%
Avg goals3.502.75

Home stats use Frosinone's home record; away stats use Torino's away record this season. These are completed-match rates over the samples shown above, not model probabilities — early in a season a handful of matches produces 0% and 100% readings.