FC Savièse vs Düdingen: result 4-3 and analysis
2. Liga Interregional - Group 2Group 2 - 11Kick-off on October 30, 2021 at 04:00 PM (UTC)Stade St-Germain, Savièse
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What was the result of FC Savièse vs Düdingen?
FC Savièse won 4-3 on October 30, 2021.
What is the recent form of both teams?
Over their last 11 matches in all competitions, FC Savièse have 1 win, 1 draw and 9 defeats; Düdingen have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Saint-Maurice(away) | 1-3 | 2. Liga Interregional - Group 2 |
| Oct 16, 2021 | Romontois(home) | 0-5 | 2. Liga Interregional - Group 2 |
| Oct 9, 2021 | Coffrane(away) | 0-2 | 2. Liga Interregional - Group 2 |
| Oct 2, 2021 | Sierre(away) | 0-2 | 2. Liga Interregional - Group 2 |
| Sep 25, 2021 | Portalban / Gletterens(home) | 0-3 | 2. Liga Interregional - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 23, 2021 | Sierre(home) | 1-1 | 2. Liga Interregional - Group 2 |
| Oct 16, 2021 | Portalban / Gletterens(away) | 1-3 | 2. Liga Interregional - Group 2 |
| Oct 9, 2021 | Fribourg(home) | 2-1 | 2. Liga Interregional - Group 2 |
| Sep 29, 2021 | Prishtina Bern(away) | 1-1 | 2. Liga Interregional - Group 2 |
| Sep 25, 2021 | Stade Payerne(home) | 4-0 | 2. Liga Interregional - Group 2 |
How many goals should we expect?
FC Savièse score 0.7 and concede 3.0 goals per match over their last 11; Düdingen score 2.1 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FC Savièse | 0.7 | 3.0 | 0 | 5/11 | 7/11 |
| Düdingen | 2.1 | 1.3 | 3 | 12/15 | 10/15 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Düdingen | 30 | 15 | 8 | 7 | 52 | 40 | 53 |
A question about FC Savièse vs Düdingen?
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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