APEJES Academy vs Tonnerre: result 2-0 and analysis
Elite OneRegular Season - 11Kick-off on April 20, 2022 at 12:00 AM (UTC)Stade de Ngoa Ekélé, Yaoundé
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What was the result of APEJES Academy vs Tonnerre?
APEJES Academy won 2-0 on April 20, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, APEJES Academy have 6 wins, 3 draws and 6 defeats; Tonnerre have 3, 2 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2022 | Stade Renard(home) | 1-0 | Elite One |
| Apr 13, 2022 | Canon(home) | 2-1 | Elite One |
| Apr 5, 2022 | Young Sport Academy(home) | 0-0 | Elite One |
| Apr 2, 2022 | Racing(home) | 0-2 | Elite One |
| Mar 30, 2022 | Les Astres(home) | 1-4 | Elite One |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 16, 2022 | Jeunes Fauves(away) | 1-2 | Elite One |
| Apr 13, 2022 | Fortuna Mfou(away) | 1-5 | Elite One |
| Apr 2, 2022 | Stade Renard(home) | 1-0 | Elite One |
| Mar 30, 2022 | Canon(away) | 1-2 | Elite One |
| Mar 26, 2022 | Panthère(away) | 0-1 | Elite One |
What does the head-to-head say?
Across the last 3 meetings: 0 APEJES Academy wins, 1 draw, 2 Tonnerre wins.
| Date | Score | Competition |
|---|---|---|
| Aug 23, 2021 | Tonnerre 2-1 APEJES Academy | Elite One |
| Apr 25, 2021 | APEJES Academy 1-2 Tonnerre | Elite One |
| Dec 15, 2019 | APEJES Academy 1-1 Tonnerre | Elite One |
Last archived meeting: Tonnerre vs APEJES Academy on Aug 23, 2021
How many goals should we expect?
APEJES Academy score 0.9 and concede 1.2 goals per match over their last 15; Tonnerre score 0.9 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| APEJES Academy | 0.9 | 1.2 | 5 | 7/15 | 6/15 |
| Tonnerre | 0.9 | 1.8 | 2 | 8/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about APEJES Academy vs Tonnerre?
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