Niarry Tally vs ASEC Ndiambour: result 2-2 and analysis
Ligue 1Regular Season - 11Kick-off on January 21, 2018 at 06:00 PM (UTC)Stade Léopold Sédar Senghor, Dakar
Full time
What was the result of Niarry Tally vs ASEC Ndiambour?
Niarry Tally and ASEC Ndiambour drew 2-2 on January 21, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Niarry Tally have 4 wins, 4 draws and 7 defeats; ASEC Ndiambour have 5, 5 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2018 | Casa Sport(away) | 0-1 | Ligue 1 |
| Jan 6, 2018 | Douanes(home) | 1-2 | Ligue 1 |
| Dec 30, 2017 | Mbour Petite Côte(away) | 2-3 | Ligue 1 |
| Dec 23, 2017 | DSC(home) | 1-0 | Ligue 1 |
| Dec 17, 2017 | Teungueth(away) | 2-0 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 14, 2018 | Stade de Mbour(home) | 1-1 | Ligue 1 |
| Jan 6, 2018 | Jaraaf(away) | 2-2 | Ligue 1 |
| Dec 23, 2017 | Sonacos(away) | 0-1 | Ligue 1 |
| Dec 16, 2017 | Génération Foot(home) | 1-1 | Ligue 1 |
| Dec 9, 2017 | Casa Sport(home) | 1-0 | Ligue 1 |
What does the head-to-head say?
Across the last 2 meetings: 1 Niarry Tally win, 0 draws, 1 ASEC Ndiambour win.
| Date | Score | Competition |
|---|---|---|
| Jun 11, 2017 | ASEC Ndiambour 2-0 Niarry Tally | Ligue 1 |
| Mar 1, 2017 | Niarry Tally 4-1 ASEC Ndiambour | Ligue 1 |
Last archived meeting: ASEC Ndiambour vs Niarry Tally on Jun 11, 2017
How many goals should we expect?
Niarry Tally score 0.9 and concede 1.3 goals per match over their last 15; ASEC Ndiambour score 0.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Niarry Tally | 0.9 | 1.3 | 5 | 6/15 | 6/15 |
| ASEC Ndiambour | 0.9 | 1.2 | 4 | 6/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Niarry Tally vs ASEC Ndiambour?
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