HLM vs Jamono Fatick: result 0-0 and analysis
Ligue 1Regular Season - 28Kick-off on June 22, 2025 at 05:00 PM (UTC)Stade Demba Diop
Full time
What was the result of HLM vs Jamono Fatick?
HLM and Jamono Fatick drew 0-0 on June 22, 2025.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HLM have 3 wins, 8 draws and 4 defeats; Jamono Fatick have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2025 | Wally Daan(home) | 0-0 | Ligue 1 |
| Jun 1, 2025 | Oslo(home) | 1-0 | Ligue 1 |
| May 25, 2025 | AJEL(away) | 0-0 | Ligue 1 |
| May 20, 2025 | La Linguère(away) | 1-1 | Ligue 1 |
| May 11, 2025 | DSC(home) | 2-2 | Ligue 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2025 | Sonacos(home) | 2-1 | Ligue 1 |
| May 31, 2025 | Ouakam(away) | 1-2 | Ligue 1 |
| May 25, 2025 | Guédiawaye(home) | 2-2 | Ligue 1 |
| May 21, 2025 | Casa Sport(away) | 0-1 | Ligue 1 |
| May 10, 2025 | Teungueth(home) | 0-0 | Ligue 1 |
What does the head-to-head say?
In the last meeting: 0 HLM wins, 1 draw, 0 Jamono Fatick wins.
| Date | Score | Competition |
|---|---|---|
| Feb 2, 2025 | Jamono Fatick 0-0 HLM | Ligue 1 |
How many goals should we expect?
HLM score 0.7 and concede 0.8 goals per match over their last 15; Jamono Fatick score 0.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HLM | 0.7 | 0.8 | 6 | 5/15 | 3/15 |
| Jamono Fatick | 0.9 | 1.3 | 3 | 8/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
The current season has no played match yet: final standings of the 2025-26 season.
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | HLM | 30 | 5 | 18 | 7 | 18 | 24 | 33 |
A question about HLM vs Jamono Fatick?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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