Leicesterfield vs Magesi: result 1-3 and analysis
1st DivisionRegular Season - 3Kick-off on September 5, 2026 at 01:00 PM (UTC)
Full time
What was the result of Leicesterfield vs Magesi?
Magesi won 1-3 on September 5, 2026.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Leicesterfield have 4 wins, 5 draws and 6 defeats; Magesi have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 2, 2026 | Cape Town City(away) | 1-1 | 1st Division |
| Aug 22, 2026 | Orbit College(home) | 1-0 | 1st Division |
| May 17, 2026 | Cape Town City(home) | 2-4 | 1st Division |
| May 10, 2026 | The Bees(away) | 1-2 | 1st Division |
| May 3, 2026 | Venda FC(away) | 0-2 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 29, 2026 | The Bees(home) | 1-0 | 1st Division |
| Aug 22, 2026 | Midlands Wanderers(away) | 1-0 | 1st Division |
| Jun 13, 2026 | Milford FC(home) | 1-1 | Premier Soccer League |
| Jun 10, 2026 | Cape Town City(away) | 1-1 | Premier Soccer League |
| Jun 3, 2026 | Milford FC(away) | 0-1 | Premier Soccer League |
How many goals should we expect?
Leicesterfield score 1.0 and concede 1.4 goals per match over their last 15; Magesi score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Leicesterfield | 1.0 | 1.4 | 2 | 9/15 | 7/15 |
| Magesi | 1.1 | 1.1 | 6 | 5/15 | 5/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Leicesterfield sit 10th in 1st Division (10 points from 7 matches) and Magesi sit 1st (17 points from 7 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 1 | Magesi | 7 | 5 | 2 | 0 | 10 | 3 | 17 |
| 10 | Leicesterfield | 7 | 3 | 1 | 3 | 8 | 9 | 10 |
A question about Leicesterfield vs Magesi?
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How does Footlab AI 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. When bookmakers publish odds for the match, their consensus is built into the calculation: that is what proved most accurate on past matches. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy