Okwawu vs Attram de Visser: prediction and stats
Division One LeagueRegular Season - 3Kick-off on October 3, 2026 at 03:00 PM (UTC)
The Footlab model makes Attram de Visser the favourite at 49%, against 25% for a draw and 26% for Okwawu. The most likely score is 1-1.
This model is measured at 53.9% 1X2 accuracy on a temporal hold-out, against 33.3% for random guessing. See the measured accuracy
Probabilities recomputed on Aug 25, 2026 — the full match card is recomputed continuously until kick-off.
Who will win Okwawu vs Attram de Visser?
Attram de Visser starts as the favourite with a 116-point Elo edge (1,580 vs 1,464).
What is the recent form of both teams?
Over their last 15 matches in all competitions, Okwawu have 5 wins, 3 draws and 7 defeats; Attram de Visser have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2026 | Home Stars(away) | 1-0 | Division One League |
| May 9, 2026 | Koforidua(away) | 0-1 | Division One League |
| May 3, 2026 | Great Olympics(home) | 2-1 | Division One League |
| Apr 25, 2026 | Attram de Visser(away) | 1-2 | Division One League |
| Apr 12, 2026 | Golden Warriors(home) | 1-1 | Division One League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 15, 2026 | True Democracy(home) | 2-1 | Division One League |
| May 10, 2026 | WAFA(away) | 3-0 | Division One League |
| May 2, 2026 | Koforidua(home) | 0-1 | Division One League |
| Apr 25, 2026 | Okwawu(home) | 2-1 | Division One League |
| Apr 12, 2026 | Port City(away) | 1-3 | Division One League |
What does the head-to-head say?
Across the last 2 meetings: 0 Okwawu win(s), 0 draw(s), 2 Attram de Visser win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 25, 2026 | Attram de Visser 2-1 Okwawu | Division One League |
| Dec 21, 2025 | Okwawu 1-2 Attram de Visser | Division One League |
Last archived meeting: Attram de Visser vs Okwawu on Apr 25, 2026
How many goals should we expect?
Okwawu score 1.3 and concede 1.8 goals per match over their last 15; Attram de Visser score 1.9 and concede 0.9. The model gives a 57% probability of over 2.5 goals and 59% for both teams to score.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Okwawu | 1.3 | 1.8 | 1 | 11/15 | 9/15 |
| Attram de Visser | 1.9 | 0.9 | 6 | 6/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Okwawu sit 2nd in Division One League (3 points from 1 matches) and Attram de Visser sit 9th (1 points from 1 matches).
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Okwawu | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 9 | Attram de Visser | 1 | 0 | 1 | 0 | 1 | 1 | 1 |
Verdict, probable XI and verified absences
The full match card recomputes this prediction continuously until kick-off: multi-market verdict, player-by-player probable XI and web-verified absences.
Open the full match card in the app
No odds, no affiliation: the method is published and the accuracy is measured.
How does Footlab compute this prediction?
The model combines both teams' Elo ratings (anchored by competition pool), their recent form weighted by opponent strength, home advantage and a Poisson matrix for scorelines. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy
Frequently asked questions
- Who is the favourite for Okwawu vs Attram de Visser?
- The Footlab model makes Attram de Visser the favourite at 49%, against 25% for a draw and 26% for Okwawu.
- Where and when is Okwawu vs Attram de Visser played?
- Okwawu vs Attram de Visser is played on October 3, 2026 at 03:00 PM (UTC), in the Division One League.
- Will there be over 2.5 goals?
- The Footlab model gives a 57% probability of at least three goals in this match.
- How reliable is this prediction?
- The Footlab model is measured at 53.9% correct 1X2 outcomes on a temporal hold-out, against 33.3% for random guessing. The breakdown by competition and Elo gap is published on the accuracy page.