UGS vs Perly-Certoux: result 2-0 and analysis
2. Liga Interregional - Group 1Group 1 - 13Kick-off on November 4, 2023 at 04:30 PM (UTC)Stade de Frontenex, Genève
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What was the result of UGS vs Perly-Certoux?
UGS won 2-0 on November 4, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, UGS have 5 wins, 1 draw and 9 defeats; Perly-Certoux have 3, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2023 | Châtel-St-Denis(away) | 0-3 | 2. Liga Interregional - Group 1 |
| Oct 19, 2023 | Veyrier Sports(home) | 1-2 | 2. Liga Interregional - Group 1 |
| Oct 14, 2023 | Collex-Bossy(away) | 0-2 | 2. Liga Interregional - Group 1 |
| Oct 11, 2023 | Lancy(home) | 1-4 | 2. Liga Interregional - Group 1 |
| Oct 7, 2023 | Farvagny / Ogoz(home) | 2-0 | 2. Liga Interregional - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 21, 2023 | Signal(away) | 0-1 | 2. Liga Interregional - Group 1 |
| Oct 14, 2023 | Plan-les-Ouates(home) | 0-0 | 2. Liga Interregional - Group 1 |
| Sep 30, 2023 | Châtel-St-Denis(away) | 2-4 | 2. Liga Interregional - Group 1 |
| Sep 27, 2023 | Veyrier Sports(home) | 2-3 | 2. Liga Interregional - Group 1 |
| Sep 23, 2023 | Collex-Bossy(away) | 6-2 | 2. Liga Interregional - Group 1 |
How many goals should we expect?
UGS score 1.5 and concede 1.9 goals per match over their last 15; Perly-Certoux score 1.5 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UGS | 1.5 | 1.9 | 1 | 9/15 | 9/15 |
| Perly-Certoux | 1.5 | 1.9 | 2 | 8/12 | 8/12 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | UGS | 30 | 11 | 7 | 12 | 42 | 41 | 40 |
A question about UGS vs Perly-Certoux?
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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