Ajax Cape Town vs Jomo Cosmos: result 2-0 and analysis
1st DivisionNational First Division - Round 17Kick-off on January 11, 2019 at 12:30 PM (UTC)Parow Park Stadium, Cape Town, WC
Full time
What was the result of Ajax Cape Town vs Jomo Cosmos?
Ajax Cape Town won 2-0 on January 11, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Ajax Cape Town have 7 wins, 2 draws and 6 defeats; Jomo Cosmos have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 5, 2019 | Ubuntu Cape Town FC(away) | 3-2 | 1st Division |
| Dec 23, 2018 | Mbombela United(home) | 2-1 | 1st Division |
| Dec 17, 2018 | Marumo Gallants(away) | 2-1 | 1st Division |
| Dec 5, 2018 | Univ. OF Pretoria FC(home) | 2-0 | 1st Division |
| Dec 2, 2018 | TS Galaxy(away) | 2-5 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 6, 2019 | Maccabi(home) | 0-1 | 1st Division |
| Dec 22, 2018 | Witbank Spurs(home) | 1-0 | 1st Division |
| Dec 15, 2018 | Uthongathi FC(away) | 0-1 | 1st Division |
| Dec 8, 2018 | Royal Eagles(away) | 0-2 | 1st Division |
| Dec 2, 2018 | Royal AM(home) | 2-0 | Cup |
What does the head-to-head say?
In the last meeting: 1 Ajax Cape Town win, 0 draws, 0 Jomo Cosmos wins.
| Date | Score | Competition |
|---|---|---|
| Aug 19, 2018 | Jomo Cosmos 1-2 Ajax Cape Town | 1st Division |
Last archived meeting: Jomo Cosmos vs Ajax Cape Town on Aug 19, 2018
How many goals should we expect?
Ajax Cape Town score 1.2 and concede 1.2 goals per match over their last 15; Jomo Cosmos score 0.8 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ajax Cape Town | 1.2 | 1.2 | 4 | 7/15 | 7/15 |
| Jomo Cosmos | 0.8 | 0.8 | 7 | 4/15 | 2/15 |
Over the last 15 matches in all competitions.
A question about Ajax Cape Town vs Jomo Cosmos?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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