Hungary NB III · HU

Vasas SC II vs FC Dabas

08 Nov 2026 · 11:00

FOOTBALL MATCH INTELLIGENCE · MATCH OVERVIEW

Match Overview

Model vs Market

The model identifies a moderate model-market difference for a home win for Vasas SC II. 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 Bet365 pre-match reference odds of 1.57 do not exceed the model's estimated fair odds of approximately 1.66. At this price, a home win for Vasas SC II 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 · BET365

HOME MODEL > MARKET

Vasas SC II

STOCHASTICBET 60.2%

BET365 57.0% odd 1.57

DIFFERENCE +3.2 pp

DRAW

Draw

STOCHASTICBET 19.5%

BET365 20.7% odd 4.33

DIFFERENCE -1.1 pp

AWAY

FC Dabas

STOCHASTICBET 20.3%

BET365 22.4% odd 4.00

DIFFERENCE -2.1 pp

STOCHASTICBET

BET365 MARKET

Market · BET365 Snapshot · 08 Nov 2026 · 10:31

PERFORMANCE · LAST 4 MATCHES

Defensive Edge: Vasas SC II

The home side shows the stronger recent defensive profile, while the attacking comparison is less clear.

Attack Recent attacking output

Vasas SC II FC Dabas

Shots 11.3 · On target 6.3 Shots 11.8 · On target 5.3

Recent attacking output is broadly balanced between the two teams.

Defence Recent defensive resistance

Vasas SC II FC Dabas

Shots allowed 7.5 · On target allowed 2.0 Shots allowed 8.8 · On target allowed 4.3

Vasas SC II has the stronger recent defensive profile, allowing fewer dangerous attempts.

Overall Performance Combined attack and defence

Vasas SC II FC Dabas

The combined recent performance profile favours Vasas SC II.

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