ASOS vs ASPAC: result 0-1 and analysis
Championnat NationalRegular Season - 21Kick-off on April 10, 2019 at 03:00 PM (UTC)Centre d’excellence de football de Missérété, Akpro-Missérété
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What was the result of ASOS vs ASPAC?
ASPAC won 0-1 on April 10, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, ASOS have 7 wins, 4 draws and 4 defeats; ASPAC 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 |
|---|---|---|---|
| Apr 7, 2019 | Avrankou Omnisport(away) | 0-2 | Championnat National |
| Mar 2, 2019 | Tonnerre(home) | 1-1 | Championnat National |
| Feb 22, 2019 | UPI-ONM(away) | 2-1 | Championnat National |
| Feb 16, 2019 | Panthères(home) | 3-1 | Championnat National |
| Feb 10, 2019 | AS Sobemap(home) | 1-1 | Championnat National |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 7, 2019 | Buffles(home) | 0-1 | Championnat National |
| Mar 8, 2019 | JAC(away) | 0-0 | Championnat National |
| Feb 23, 2019 | AS Sobemap(away) | 1-2 | Championnat National |
| Feb 16, 2019 | UPI-ONM(home) | 3-0 | Championnat National |
| Feb 8, 2019 | JSP(home) | 0-3 | Championnat National |
What does the head-to-head say?
In the last meeting: 0 ASOS wins, 0 draws, 1 ASPAC win.
| Date | Score | Competition |
|---|---|---|
| Nov 16, 2018 | ASOS 0-1 ASPAC | Championnat National |
How many goals should we expect?
ASOS score 1.2 and concede 0.9 goals per match over their last 15; ASPAC score 1.2 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| ASOS | 1.2 | 0.9 | 4 | 7/15 | 4/15 |
| ASPAC | 1.2 | 1.1 | 5 | 6/15 | 7/15 |
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 ASOS 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