Korhogo vs AFAD: result 1-3 and analysis
Ligue 1Regular Season - 26Kick-off on June 29, 2022 at 02:30 PM (UTC)Stade Robert Champroux, Abidjan
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What was the result of Korhogo vs AFAD?
AFAD won 1-3 on June 29, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Korhogo have 1 win, 2 draws and 12 defeats; AFAD have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2022 | Bassam(away) | 2-3 | Ligue 1 |
| Jun 19, 2022 | ASEC Mimosas(home) | 0-1 | Ligue 1 |
| Jun 10, 2022 | Racing d'Abidjan(away) | 2-3 | Ligue 1 |
| Jun 5, 2022 | San-Pédro(home) | 0-2 | Ligue 1 |
| May 22, 2022 | Abengourou(away) | 1-3 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 26, 2022 | ES Bafing(home) | 1-1 | Ligue 1 |
| Jun 23, 2022 | ASEC Mimosas(away) | 1-0 | Ligue 1 |
| Jun 17, 2022 | Bassam(away) | 1-0 | Ligue 1 |
| Jun 11, 2022 | Stella(home) | 3-1 | Ligue 1 |
| May 29, 2022 | Racing d'Abidjan(away) | 3-1 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 1 Korhogo win, 0 draws, 0 AFAD wins.
| Date | Score | Competition |
|---|---|---|
| Mar 7, 2022 | AFAD 0-3 Korhogo | Ligue 1 |
How many goals should we expect?
Korhogo score 0.7 and concede 1.9 goals per match over their last 15; AFAD score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Korhogo | 0.7 | 1.9 | 3 | 5/15 | 7/15 |
| AFAD | 1.1 | 1.1 | 5 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Korhogo sit 10th in Ligue 1 (2 points from 3 matches) and AFAD sit 11th (2 points from 3 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 10 | Korhogo | 3 | 0 | 2 | 1 | 4 | 5 | 2 |
| 11 | AFAD | 3 | 0 | 2 | 1 | 3 | 4 | 2 |
A question about Korhogo vs AFAD?
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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