Magesi vs Jomo Cosmos: result 2-0 and analysis
1st DivisionNational First Division - Round 24Kick-off on April 19, 2017 at 12:00 PM (UTC)Old Peter Mokaba Stadium, Pietersburg
Full time
What was the result of Magesi vs Jomo Cosmos?
Magesi won 2-0 on April 19, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Magesi have 3 wins, 5 draws and 7 defeats; Jomo Cosmos have 5, 4 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2017 | Amazulu(away) | 0-3 | 1st Division |
| Apr 1, 2017 | Royal Eagles(home) | 4-2 | 1st Division |
| Mar 19, 2017 | Santos FC(away) | 0-1 | 1st Division |
| Mar 4, 2017 | Milano United(home) | 1-0 | 1st Division |
| Feb 25, 2017 | Mthatha Bucks(away) | 2-3 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2017 | Thanda Royal Zulu FC(home) | 1-1 | 1st Division |
| Mar 31, 2017 | Cape Town ALL Stars(away) | 0-3 | 1st Division |
| Mar 19, 2017 | Stellenbosch(home) | 0-1 | 1st Division |
| Mar 4, 2017 | Witbank Spurs(away) | 2-2 | 1st Division |
| Feb 25, 2017 | Mbombela United(home) | 2-0 | 1st Division |
What does the head-to-head say?
In the last meeting: 0 Magesi wins, 0 draws, 1 Jomo Cosmos win.
| Date | Score | Competition |
|---|---|---|
| Dec 4, 2016 | Jomo Cosmos 2-1 Magesi | 1st Division |
How many goals should we expect?
Magesi score 1.0 and concede 1.3 goals per match over their last 15; Jomo Cosmos score 1.0 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Magesi | 1.0 | 1.3 | 3 | 7/15 | 6/15 |
| Jomo Cosmos | 1.0 | 1.1 | 3 | 7/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Magesi | 6 | 4 | 2 | 0 | 7 | 2 | 14 |
A question about Magesi vs Jomo Cosmos?
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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