Hakla SC vs Great Olympics: prediction and stats
Division One LeagueRegular Season - 4Kick-off on October 10, 2026 at 03:00 PM (UTC)
The Footlab model makes Hakla SC the favourite at 54%, against 26% for a draw and 20% for Great Olympics. The most likely score is 1-0.
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 Hakla SC vs Great Olympics?
A very open match: only 8 Elo points separate Hakla SC (1,509) and Great Olympics (1,517).
What is the recent form of both teams?
Over their last 15 matches in all competitions, Hakla SC have 6 wins, 3 draws and 6 defeats; Great Olympics have 7, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2026 | Golden Kicks(home) | 1-0 | Division One League |
| May 9, 2026 | Nania(away) | 0-0 | Division One League |
| May 3, 2026 | Accra Lions(home) | 2-1 | Division One League |
| Apr 26, 2026 | True Democracy(away) | 2-3 | Division One League |
| Apr 11, 2026 | WAFA(home) | 3-1 | Division One League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 16, 2026 | Great Ambitions(away) | 2-0 | Division One League |
| May 9, 2026 | Home Stars(home) | 2-0 | Division One League |
| May 3, 2026 | Okwawu(away) | 1-2 | Division One League |
| Apr 25, 2026 | Golden Warriors(away) | 1-1 | Division One League |
| Apr 12, 2026 | Golden Kicks(home) | 2-1 | Division One League |
What does the head-to-head say?
Across the last 2 meetings: 0 Hakla SC win(s), 2 draw(s), 0 Great Olympics win(s).
| Date | Score | Competition |
|---|---|---|
| Jan 25, 2026 | Hakla SC 0-0 Great Olympics | Division One League |
| Oct 5, 2025 | Great Olympics 1-1 Hakla SC | Division One League |
Last archived meeting: Hakla SC vs Great Olympics on Jan 25, 2026
How many goals should we expect?
Hakla SC score 1.4 and concede 1.3 goals per match over their last 15; Great Olympics score 1.2 and concede 1.1. The model gives a 46% probability of over 2.5 goals and 48% for both teams to score.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Hakla SC | 1.4 | 1.3 | 4 | 7/15 | 7/15 |
| Great Olympics | 1.2 | 1.1 | 7 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Hakla SC sit 5th in Division One League (3 points from 1 matches) and Great Olympics sit 6th (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 |
|---|---|---|---|---|---|---|---|---|
| 5 | Hakla SC | 1 | 1 | 0 | 0 | 2 | 1 | 3 |
| 6 | Great Olympics | 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 Hakla SC vs Great Olympics?
- The Footlab model makes Hakla SC the favourite at 54%, against 26% for a draw and 20% for Great Olympics.
- Where and when is Hakla SC vs Great Olympics played?
- Hakla SC vs Great Olympics is played on October 10, 2026 at 03:00 PM (UTC), in the Division One League.
- Will there be over 2.5 goals?
- The Footlab model gives a 46% 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.