San Marino Campionato · SM

Tre Penne vs SS Murata

08 Nov 2026 · 15:00

FOOTBALL MATCH INTELLIGENCE · MATCH OVERVIEW

Match Overview

Model vs Market

The model identifies a slight model-market difference for a home win for Tre Penne. The difference indicates only a limited disagreement with market expectations.

Recent Performance

Recent match analysis is not yet available for this fixture. Additional context will appear as the underlying match data becomes available.

Pre-Match Betting Perspective

Despite the positive model-market difference, the available Pinnacle pre-match reference odds of 1.04 do not exceed the model's estimated fair odds of approximately 1.11. At this price, a home win for Tre Penne does not appear sufficiently attractive. A more favourable price before kick-off would be needed.

Historical performance provides context rather than a prediction of the final result.

FOOTBALL MATCH INTELLIGENCE

Model vs Market

MARKET · PINNACLE

HOME MODEL > MARKET

Tre Penne

STOCHASTICBET 89.7%

PINNACLE 87.4% odd 1.04

DIFFERENCE +2.4 pp

DRAW

Draw

STOCHASTICBET 6.7%

PINNACLE 7.7% odd 11.80

DIFFERENCE -1.0 pp

AWAY

SS Murata

STOCHASTICBET 3.6%

PINNACLE 5.0% odd 18.35

DIFFERENCE -1.4 pp

STOCHASTICBET

PINNACLE MARKET

Market · PINNACLE Snapshot · 08 Nov 2026 · 12:01

PERFORMANCE · LAST 4 MATCHES

Tre Penne has the stronger recent profile

The home side has the stronger recent profile in both attack and defence.

Attack Recent attacking output

Tre Penne SS Murata

Shots 12.0 · On target 4.3 Shots 7.8 · On target 3.0

Recent attacking output favours Tre Penne, combining shots and shots on target.

Defence Recent defensive resistance

Tre Penne SS Murata

Shots allowed 8.8 · On target allowed 4.0 Shots allowed 20.5 · On target allowed 9.0

Tre Penne has the stronger recent defensive profile, allowing fewer dangerous attempts.

Overall Performance Combined attack and defence

Tre Penne SS Murata

The combined recent performance profile favours Tre Penne.

Based on the teams' four most recent matches in the available data.