Magesi vs Hungry Lions: result 2-1 and analysis
1st DivisionRegular Season - 9Kick-off on October 22, 2022 at 01:30 PM (UTC)Old Peter Mokaba Stadium, Pietersburg
Full time
What was the result of Magesi vs Hungry Lions?
Magesi won 2-1 on October 22, 2022.
Goalscorers
- 5′K. SelemelaMagesi
- 11′R. MalulekeMagesi
- 20′O. NcubeHungry Lions
What is the recent form of both teams?
Over their last 15 matches in all competitions, Magesi have 6 wins, 3 draws and 6 defeats; Hungry Lions 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 |
|---|---|---|---|
| Oct 16, 2022 | Black Leopards(away) | 0-0 | 1st Division |
| Oct 12, 2022 | University of Pretoria(home) | 1-1 | 1st Division |
| Oct 9, 2022 | Uthongathi(away) | 0-1 | 1st Division |
| Oct 1, 2022 | TTM(home) | 1-1 | 1st Division |
| Sep 18, 2022 | Casric Stars(home) | 2-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2022 | Baroka FC(home) | 1-0 | 1st Division |
| Oct 11, 2022 | Venda FC(home) | 2-0 | 1st Division |
| Oct 8, 2022 | JDR Stars(away) | 2-1 | 1st Division |
| Oct 2, 2022 | Polokwane City(away) | 0-2 | 1st Division |
| Sep 17, 2022 | Platinum City Rovers(home) | 3-2 | 1st Division |
How many goals should we expect?
Magesi score 1.3 and concede 1.4 goals per match over their last 15; Hungry Lions score 1.0 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magesi | 1.3 | 1.4 | 6 | 6/15 | 8/15 |
| Hungry Lions | 1.0 | 0.8 | 8 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Magesi sit 5th in 1st Division (3 points from 1 matches) and Hungry Lions sit 7th (1 points from 1 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Magesi | 1 | 1 | 0 | 0 | 1 | 0 | 3 |
| 7 | Hungry Lions | 1 | 0 | 1 | 0 | 2 | 2 | 1 |
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