San Marino Campionato · SM

SP Cailungo vs Tre Fiori

08 Nov 2026 · 15:00

FOOTBALL MATCH INTELLIGENCE · MATCH OVERVIEW

Match Overview

Model vs Market

The model identifies a moderate model-market difference for an away win for Tre Fiori. The model and market assessments show a noticeable divergence.

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 1.20 do not exceed the model's estimated fair odds of approximately 1.29. At this price, an away win for Tre Fiori 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

SP Cailungo

STOCHASTICBET 8.5%

PINNACLE 10.4% odd 8.57

DIFFERENCE -1.9 pp

DRAW

Draw

STOCHASTICBET 14.2%

PINNACLE 15.5% odd 5.74

DIFFERENCE -1.3 pp

AWAY MODEL > MARKET

Tre Fiori

STOCHASTICBET 77.3%

PINNACLE 74.1% odd 1.20

DIFFERENCE +3.2 pp

STOCHASTICBET

PINNACLE MARKET

Market · PINNACLE Snapshot · 08 Nov 2026 · 13:01

PERFORMANCE · LAST 4 MATCHES

Tre Fiori has the stronger recent profile

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

Attack Recent attacking output

SP Cailungo Tre Fiori

Shots 10.5 · On target 4.5 Shots 14.8 · On target 7.0

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

Defence Recent defensive resistance

SP Cailungo Tre Fiori

Shots allowed 17.5 · On target allowed 6.5 Shots allowed 8.5 · On target allowed 2.3

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

Overall Performance Combined attack and defence

SP Cailungo Tre Fiori

The combined recent performance profile favours Tre Fiori.

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