UGS vs Renens: result 2-1 and analysis
2. Liga Interregional - Group 1Group 1 · Matchday 6Kick-off on September 25, 2020 at 06:00 PM (UTC)Stade de Frontenex, Genève
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What was the result of UGS vs Renens?
UGS won 2-1 on September 25, 2020.
What is the recent form of both teams?
Over their last 5 matches in all competitions, UGS have 2 wins, 1 draw and 2 defeats; Renens have 1, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 20, 2020 | Servette II(away) | 1-6 | 2. Liga Interregional - Group 1 |
| Sep 12, 2020 | Forward(home) | 0-0 | 2. Liga Interregional - Group 1 |
| Sep 5, 2020 | Italien(away) | 0-4 | 2. Liga Interregional - Group 1 |
| Aug 29, 2020 | Amical Saint-Prex(home) | 2-1 | 2. Liga Interregional - Group 1 |
| Aug 22, 2020 | Sierre(away) | 4-2 | 2. Liga Interregional - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2020 | Monthey(home) | 2-4 | 2. Liga Interregional - Group 1 |
| Sep 11, 2020 | Signal(away) | 1-2 | 2. Liga Interregional - Group 1 |
| Sep 5, 2020 | Servette II(away) | 3-1 | 2. Liga Interregional - Group 1 |
| Aug 29, 2020 | Forward(home) | 1-1 | 2. Liga Interregional - Group 1 |
| Aug 22, 2020 | Italien(away) | 1-2 | 2. Liga Interregional - Group 1 |
How many goals should we expect?
UGS score 1.4 and concede 2.6 goals per match over their last 5; Renens score 1.6 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UGS | 1.4 | 2.6 | 1 | 3/5 | 4/5 |
| Renens | 1.6 | 2.0 | 0 | 5/5 | 4/5 |
Over the last 5 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 Renens?
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