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Liberia First Division · LR

Paynesville vs Watanga FC

08 Nov 2026 · 17:00
FOOTBALL MATCH INTELLIGENCE · MATCH OVERVIEW

Match Overview

Model vs Market

The model identifies a negligible model-market difference for a home win for Paynesville. 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 Bet365 pre-match reference odds of 1.73 do not exceed the model's estimated fair odds of approximately 1.92. At this price, a home win for Paynesville 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
Paynesville
STOCHASTICBET 52.0%
BET365 51.7% odd 1.73
DIFFERENCE +0.2 pp
DRAW
Draw
STOCHASTICBET 24.1%
BET365 24.1% odd 3.70
DIFFERENCE -0.1 pp
AWAY
Watanga FC
STOCHASTICBET 24.0%
BET365 24.1% odd 3.70
DIFFERENCE -0.2 pp
STOCHASTICBET
BET365 MARKET
Market · BET365 Snapshot · 08 Nov 2026 · 15:11
PERFORMANCE · LAST 4 MATCHES

Attacking Edge: Paynesville

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

Attack Recent attacking output
Paynesville Watanga FC
Shots 12.3 · On target 5.5 Shots 7.5 · On target 3.5

Recent attacking output favours Paynesville, combining shots and shots on target.

Defence Recent defensive resistance
Paynesville Watanga FC
Shots allowed 12.8 · On target allowed 5.8 Shots allowed 7.0 · On target allowed 3.3

Watanga FC has the stronger recent defensive profile, allowing fewer dangerous attempts.

Overall Performance Combined attack and defence
Paynesville Watanga FC

The combined recent performance profile is relatively balanced.

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