Conegliano vs LME: result 0-1 and analysis
Serie D - Girone CGroup C - 5Kick-off on September 27, 2026 at 01:00 PM (UTC)
Full time
What was the result of Conegliano vs LME?
LME won 0-1 on September 27, 2026.
Goalscorers
- 7′681972LME
What is the recent form of both teams?
Over their last 15 matches in all competitions, Conegliano have 8 wins, 4 draws and 3 defeats; LME have 1, 2 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2026 | FC Obermais(home) | 1-0 | Serie D - Girone C |
| Sep 16, 2026 | Cjarlins Muzane(away) | 1-0 | Serie D - Girone C |
| Sep 13, 2026 | Bassano Virtus(home) | 0-0 | Serie D - Girone C |
| Sep 6, 2026 | Campodarsego(away) | 0-4 | Serie D - Girone C |
| May 3, 2026 | Altavilla(home) | 0-1 | Serie D - Girone C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2026 | Campodarsego(home) | 1-2 | Serie D - Girone C |
| Sep 16, 2026 | FC Obermais(away) | 1-1 | Serie D - Girone C |
| Sep 13, 2026 | Altavilla(home) | 0-0 | Serie D - Girone C |
| Sep 6, 2026 | Bassano Virtus(away) | 2-1 | Serie D - Girone C |
How many goals should we expect?
Conegliano score 1.0 and concede 0.8 goals per match over their last 15; LME score 1.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Conegliano | 1.0 | 0.8 | 7 | 5/15 | 4/15 |
| LME | 1.0 | 1.0 | 1 | 3/4 | 2/4 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Conegliano sit 12th in Serie D - Girone C (7 points from 6 matches) and LME sit 9th (8 points from 6 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | LME | 6 | 2 | 2 | 2 | 5 | 7 | 8 |
| 12 | Conegliano | 6 | 2 | 1 | 3 | 3 | 7 | 7 |
A question about Conegliano vs LME?
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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