· Analysis updated 15:04 UTC
Hoogstraten vs Roeselare Daisel Prediction, Odds & Statistics
Our Poisson-based model projects 1.53 expected goals for Hoogstraten and 2.05 for Roeselare Daisel, a combined total of 3.58. That distribution gives Roeselare Daisel the largest share of the 1X2 market at 50%, with the draw at 21%. Goals markets follow the same shape: 69% for over 2.5 goals and 68% for both teams to score, with 1–2 the single most likely scoreline at 9%. Probabilities are statistical estimates and carry meaningful uncertainty — a 50% favourite still loses or draws a large share of the time.
Model pick
Roeselare Daisel win
49.9% probability
Expected goals
1.53 – 2.05
Model version
poisson-v2
Probabilities are statistical estimates, not guarantees.
Why the model likes this
Each point below is derived from this fixture's own data — recent results, home and away splits, scoring and defensive rates and head-to-head history where it exists. Points only appear when the underlying data supports them.
Hoogstraten home form
5 points from their last 5 home matches in our dataset.
Most likely outcome
The model rates Roeselare Daisel to win the strongest 1X2 selection at 50%, against 29% / 21% / 50% for home, draw and away.
Expected goals balance
Projected 1.53 goals for Hoogstraten and 2.05 for Roeselare Daisel, a combined 3.58 — an open game on paper.
Goals markets
Over 2.5 goals lands at 69% and both teams to score at 68%, with 1–2 the single most likely scoreline at 9%.
Match result (1X2)
Double chance 1X
50%
Double chance 12
79%
Double chance X2
71%
Goals markets
Correct score
- 1–29.0%
- 1–18.8%
- 2–26.8%
- 2–16.7%
- 1–36.1%
Recent form
Hoogstraten
- 2026-09-26T18:00:00.000Z · H vs Dender · 0-6 (L)
- 2026-09-19T18:00:00.000Z · A vs Mandel United · 1-2 (L)
- 2026-09-12T18:00:00.000Z · H vs Lyra-Lierse Berlaar · 4-4 (D)
- 2026-09-05T17:30:00.000Z · A vs Dessel Sport · 1-1 (D)
- 2026-08-28T18:30:00.000Z · H vs Merelbeke · 2-3 (L)
Roeselare Daisel
Head-to-head
Head-to-head history is temporarily unavailable. The prediction is unaffected — it is built from current form, home and away performance, goals data and competition statistics.
First Amateur Division table
| # | Team | P | W | D | L | GD | Pts |
|---|---|---|---|---|---|---|---|
| 1 | RWDM | 8 | 6 | 1 | 1 | 6 | 19 |
| 2 | Rochefort | 8 | 5 | 2 | 1 | 10 | 17 |
| 3 | Meux | 8 | 5 | 1 | 2 | 7 | 16 |
| 4 | Union Saint-Gilloise II | 8 | 4 | 2 | 2 | 5 | 14 |
| 5 | Tubize | 8 | 4 | 2 | 2 | 1 | 14 |
| 6 | Albert Quévy-Mons | 8 | 3 | 2 | 3 | 3 | 11 |
| 7 | Standard Liège II | 8 | 3 | 1 | 4 | 5 | 10 |
| 8 | Sporting Charleroi II | 8 | 2 | 4 | 2 | 1 | 10 |
| 9 | Olympic Charleroi | 8 | 2 | 3 | 3 | -7 | 9 |
| 10 | Onhaye | 8 | 2 | 0 | 6 | -10 | 6 |
| 11 | Habay-la-Neuve | 8 | 1 | 3 | 4 | -5 | 6 |
| 12 | Flénu | 8 | 0 | 1 | 7 | -16 | 1 |
Prediction conclusion
The model's leading selection is Roeselare Daisel win, at 49.9%. Its single most likely scoreline is 1–2.
It puts both teams scoring at 68% and over 2.5 goals at 69%.
A 50% selection is expected to miss in the remaining share of matches, and football regularly produces red cards, injuries and tactical changes the data cannot see. Treat this as a probability, not a forecast of the result.
Predictions are statistical estimates generated from historical and current team data. They are provided for information and entertainment only and are not betting advice. 18+ only.