Jomo Cosmos vs Royal AM: result 2-0 and analysis
CupPreliminary RoundKick-off on December 2, 2018 at 01:00 PM (UTC)Tsakane Stadium, Brakpan
Full time
What was the result of Jomo Cosmos vs Royal AM?
Jomo Cosmos won 2-0 on December 2, 2018.
Goalscorers
- 42′C. MashumbaJomo Cosmos
- 73′C. OhizuJomo Cosmos (pen.)
Official lineup for Jomo Cosmos vs Royal AM
The starting elevens fielded at kick-off.
Jomo Cosmos
- 15V. Mncube
- 27C. Mashumba
- 30C. Ohizu
- 22Matsilele Sono
- 26Sifiso Victor Nkosi
- 34S. Ledwaba
- 45T. Mabula
- 39K. Obi
- 3S. Hlatshwayo
- 5Dahou Ange Lebahi
- 36Cyril Mwenya Chibwe
Royal AM
- 21Thobani Trevor Kunene
- 10L. Mtshali
- 1L. Gogo
- 7M. Ndlovu
- 26S. Mtshali
- 28S. Mbatha
- 45L. Bengu
- 4B. Hlongwa
- 15Siphamandla Innocent Majola
- 27S. Ndlovu
- 33T. Mabua
What is the recent form of both teams?
Over their last 15 matches in all competitions, Jomo Cosmos have 6 wins, 5 draws and 4 defeats; Royal AM have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 25, 2018 | Real Kings FC(home) | 2-1 | 1st Division |
| Nov 10, 2018 | Stellenbosch(away) | 2-3 | 1st Division |
| Nov 4, 2018 | Ubuntu Cape Town FC(home) | 1-1 | 1st Division |
| Oct 27, 2018 | Mbombela United(away) | 0-2 | 1st Division |
| Oct 21, 2018 | Univ. OF Pretoria FC(home) | 1-1 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 13, 2017 | Highlands Park FC(away) | 1-2 | Cup |
How many goals should we expect?
Jomo Cosmos score 1.2 and concede 1.1 goals per match over their last 15; Royal AM score 1.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Jomo Cosmos | 1.2 | 1.1 | 6 | 7/15 | 7/15 |
| Royal AM | 1.0 | 2.0 | 0 | 1/1 | 1/1 |
Over the last 15 matches in all competitions.
A question about Jomo Cosmos vs Royal AM?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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