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Dudley Town vs Studley

Dudley Town vs Studley: Expert Betting Predictions

Overview

As a local expert analyzing the upcoming match between Dudley Town and Studley on September 23, 2025, it is crucial to consider the statistical predictions for betting purposes. This analysis focuses on various betting markets, providing insights into potential outcomes based on historical data and current form.

Dudley Town

WLWWW
-

Studley

LLLLD
Date: 2025-11-11
Time: 19:45
(FT)
Venue: Not Available Yet
Score: 11-0

Predictions:

MarketPredictionOddResult
Both Teams Not To Score In 2nd Half98.20%(11-0)
Both Teams Not To Score In 1st Half98.70%(11-0)
Over 1.5 Goals74.70%(11-0)
Over 2.5 Goals60.20%(11-0)
Sum of Goals 2 or 360.10%(11-0)
Home Team To Win60.40%(11-0)
Avg. Total Goals2.95%(11-0)
Avg. Conceded Goals2.51%(11-0)
Avg. Goals Scored2.54%(11-0)

Predictions

Both Teams Not To Score

  • 2nd Half: The probability is high at 97.80%, indicating a strong likelihood that neither team will score in the second half.
  • 1st Half: Similarly, there’s a 97.60% chance of no goals being scored in the first half, suggesting a defensive start to the match.

Over Goals

  • Over 1.5 Goals: With a 75.00% chance, this bet reflects an expectation of at least two goals during the match.
  • Over 2.5 Goals: A 62.90% probability suggests that scoring three or more goals is plausible.

Sum of Goals

  • 2 or 3 Goals Total: At 58.80%, this prediction indicates a moderate likelihood of a low-scoring game.

Home Team To Win

  • The odds are at 56.10%, making it a relatively even contest for Dudley Town to secure victory as the home side.

Average Statistics

  • Average Total Goals: Expected to be around 4.15, suggesting a moderately high-scoring match overall.
  • Average Conceded Goals: Dudley Town is likely to concede about 2.11 goals on average.
  • Average Goals Scored: Dudley Town is expected to score approximately 1.14 goals.
This structured analysis provides detailed insights into each betting market, helping bettors make informed decisions based on statistical data and expert predictions.