Renens vs Collex-Bossy: result 2-3 and analysis
2. Liga Interregional - Group 1Group 1 - 11Kick-off on June 12, 2021 at 04:00 PM (UTC)Stade du Censuy, Chavannes-près-Renens
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What was the result of Renens vs Collex-Bossy?
Collex-Bossy won 2-3 on June 12, 2021.
What is the recent form of both teams?
Over their last 8 matches in all competitions, Renens have 1 win, 1 draw and 6 defeats; Collex-Bossy have 7, 2 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | Veyrier Sports(away) | 2-7 | 2. Liga Interregional - Group 1 |
| Oct 17, 2020 | Genolier-Begnins(home) | 1-2 | 2. Liga Interregional - Group 1 |
| Sep 25, 2020 | UGS(away) | 1-2 | 2. Liga Interregional - Group 1 |
| Sep 22, 2020 | Monthey(home) | 2-4 | 2. Liga Interregional - Group 1 |
| Sep 11, 2020 | Signal(away) | 1-2 | 2. Liga Interregional - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 5, 2021 | Servette II(home) | 3-2 | 2. Liga Interregional - Group 1 |
| Oct 17, 2020 | Forward(away) | 2-0 | 2. Liga Interregional - Group 1 |
| Oct 10, 2020 | Italien(home) | 4-1 | 2. Liga Interregional - Group 1 |
| Oct 3, 2020 | Amical Saint-Prex(away) | 3-1 | 2. Liga Interregional - Group 1 |
| Sep 26, 2020 | Sierre(home) | 3-1 | 2. Liga Interregional - Group 1 |
How many goals should we expect?
Renens score 1.5 and concede 2.6 goals per match over their last 8; Collex-Bossy score 2.8 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Renens | 1.5 | 2.6 | 0 | 8/8 | 7/8 |
| Collex-Bossy | 2.8 | 1.2 | 1 | 8/9 | 7/9 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Collex-Bossy | 30 | 13 | 13 | 4 | 51 | 33 | 52 |
A question about Renens vs Collex-Bossy?
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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