Cholet vs Boulogne: result 1-1 and analysis
Ligue 3Regular Season - 20Kick-off on February 1, 2019 at 07:00 PM (UTC)Stade Pierre Blouen, Cholet
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What was the result of Cholet vs Boulogne?
Cholet and Boulogne drew 1-1 on February 1, 2019.
Goalscorers
- 23′Abdelilah AabizaCholet
- 40′M. SerinBoulogne
What is the recent form of both teams?
Over their last 15 matches in all competitions, Cholet have 5 wins, 6 draws and 4 defeats; Boulogne have 5, 7 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2019 | Quevilly(away) | 2-1 | Ligue 3 |
| Jan 11, 2019 | Rodez(home) | 0-0 | Ligue 3 |
| Dec 21, 2018 | Villefranche(away) | 3-2 | Ligue 3 |
| Dec 14, 2018 | PAU(home) | 2-1 | Ligue 3 |
| Nov 29, 2018 | Le Mans(away) | 1-1 | Ligue 3 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jan 18, 2019 | Lyon Duchere(home) | 1-1 | Ligue 3 |
| Jan 12, 2019 | Laval(away) | 1-1 | Ligue 3 |
| Dec 14, 2018 | Concarneau(away) | 1-0 | Ligue 3 |
| Dec 8, 2018 | Croix Football IC(home) | 4-4 | Coupe de France |
| Nov 30, 2018 | Quevilly(away) | 0-0 | Ligue 3 |
What does the head-to-head say?
Across the last 3 meetings: 0 Cholet wins, 1 draw, 2 Boulogne wins.
| Date | Score | Competition |
|---|---|---|
| Aug 24, 2018 | Boulogne 1-0 Cholet | Ligue 3 |
| Apr 27, 2018 | Cholet 1-2 Boulogne | Ligue 3 |
| Dec 15, 2017 | Boulogne 1-1 Cholet | Ligue 3 |
How many goals should we expect?
Cholet score 1.4 and concede 1.3 goals per match over their last 15; Boulogne score 1.3 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Cholet | 1.4 | 1.3 | 2 | 12/15 | 8/15 |
| Boulogne | 1.3 | 1.1 | 7 | 6/15 | 5/15 |
Over the last 15 matches in all competitions.
A question about Cholet vs Boulogne?
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