US Givry vs Acren-Lessines: result 1-4 and analysis
Second Amateur Division - ACFFACFF - 8Kick-off on October 13, 2019 at 01:00 PM (UTC)Complexe US Givry, Flamierge
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What was the result of US Givry vs Acren-Lessines?
Acren-Lessines won 1-4 on October 13, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, US Givry have 3 wins, 1 draw and 6 defeats; Acren-Lessines have 3, 1 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Couvin-Mariembourg(away) | 2-0 | Second Amateur Division - ACFF |
| Sep 29, 2019 | RES Durbuy(home) | 2-0 | Second Amateur Division - ACFF |
| Sep 21, 2019 | RAAL La Louvière(away) | 0-2 | Second Amateur Division - ACFF |
| Sep 15, 2019 | Meux(home) | 0-3 | Second Amateur Division - ACFF |
| Sep 8, 2019 | Waremme(away) | 0-2 | Second Amateur Division - ACFF |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Hamoir(home) | 3-4 | Second Amateur Division - ACFF |
| Sep 28, 2019 | Onhaye(away) | 2-3 | Second Amateur Division - ACFF |
| Sep 22, 2019 | Tilleur(home) | 2-1 | Second Amateur Division - ACFF |
| Sep 17, 2019 | RAAL La Louvière(home) | 3-2 | Second Amateur Division - ACFF |
| Sep 8, 2019 | Verlaine(away) | 2-0 | Second Amateur Division - ACFF |
How many goals should we expect?
US Givry score 1.8 and concede 2.6 goals per match over their last 10; Acren-Lessines score 2.1 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| US Givry | 1.8 | 2.6 | 2 | 5/10 | 6/10 |
| Acren-Lessines | 2.1 | 2.1 | 1 | 7/8 | 6/8 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Acren-Lessines | 8 | 3 | 1 | 4 | 15 | 13 | 10 |
A question about US Givry vs Acren-Lessines?
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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