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Hungary NBI Women · HU

Szent Mihaly SE (W) vs MTK Hungaria (W)

08 Nov 2026 · 15:00
FOOTBALL MATCH INTELLIGENCE · MATCH OVERVIEW

Match Overview

Model vs Market

The model identifies a negligible model-market difference for a home win for Szent Mihaly SE (W). The difference is too small to suggest meaningful disagreement.

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 6.61 do not exceed the model's estimated fair odds of approximately 7.24. At this price, a home win for Szent Mihaly SE (W) 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
Szent Mihaly SE (W)
STOCHASTICBET 13.8%
PINNACLE 13.5% odd 6.61
DIFFERENCE +0.3 pp
DRAW
Draw
STOCHASTICBET 18.8%
PINNACLE 18.7% odd 4.77
DIFFERENCE +0.1 pp
AWAY
MTK Hungaria (W)
STOCHASTICBET 67.4%
PINNACLE 67.8% odd 1.32
DIFFERENCE -0.4 pp
STOCHASTICBET
PINNACLE MARKET
Market · PINNACLE Snapshot · 08 Nov 2026 · 13:01
PERFORMANCE · LAST 4 MATCHES

Szent Mihaly SE (W) has the stronger recent profile

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

Attack Recent attacking output
Szent Mihaly SE (W) MTK Hungaria (W)
Shots 11.5 · On target 5.5 Shots 11.0 · On target 4.8

Recent attacking output is broadly balanced between the two teams.

Defence Recent defensive resistance
Szent Mihaly SE (W) MTK Hungaria (W)
Shots allowed 7.3 · On target allowed 3.3 Shots allowed 8.3 · On target allowed 4.0

Recent defensive numbers are broadly balanced between the two teams.

Overall Performance Combined attack and defence
Szent Mihaly SE (W) MTK Hungaria (W)

The combined recent performance profile is relatively balanced.

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