Esae vs ASPAC: result 1-1 and analysis
Championnat NationalRegular Season - 28Kick-off on May 4, 2019 at 01:00 PM (UTC)Stade de Sakété, Sakété
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What was the result of Esae vs ASPAC?
Esae and ASPAC drew 1-1 on May 4, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Esae have 7 wins, 3 draws and 5 defeats; ASPAC have 4, 4 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | ASVO(away) | 0-0 | Championnat National |
| Apr 27, 2019 | AS Sobemap(home) | 1-0 | Championnat National |
| Apr 21, 2019 | Dynamo Abomey(away) | 1-0 | Championnat National |
| Apr 17, 2019 | UPI-ONM(away) | 1-2 | Championnat National |
| Apr 14, 2019 | Dragons(away) | 1-2 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 1, 2019 | Energie(home) | 0-2 | Championnat National |
| Apr 27, 2019 | Ayema(away) | 0-1 | Championnat National |
| Apr 24, 2019 | Avrankou Omnisport(home) | 0-0 | Championnat National |
| Apr 17, 2019 | Béké Bembèrèkè(home) | 1-0 | Championnat National |
| Apr 13, 2019 | ASOS(home) | 0-0 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 Esae wins, 0 draws, 1 ASPAC win.
| Date | Score | Competition |
|---|---|---|
| Dec 28, 2018 | ASPAC 2-1 Esae | Championnat National |
How many goals should we expect?
Esae score 0.9 and concede 0.8 goals per match over their last 15; ASPAC score 0.7 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Esae | 0.9 | 0.8 | 8 | 6/15 | 6/15 |
| ASPAC | 0.7 | 1.1 | 6 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | ASPAC | 33 | 16 | 11 | 6 | 46 | 22 | 59 |
A question about Esae vs ASPAC?
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