Snef-Tyber vs Molenbaix: result 1-0 and analysis
Provincial - HainautHainaut - 4Kick-off on September 15, 2019 at 01:00 PM (UTC)Terrain Chemin De Maffle, Seneffe
Full time
What was the result of Snef-Tyber vs Molenbaix?
Snef-Tyber won 1-0 on September 15, 2019.
What is the recent form of both teams?
Over their last 3 matches in all competitions, Snef-Tyber have 1 win, 0 draws and 2 defeats; Molenbaix have 3, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2019 | RAS Monceau(away) | 3-1 | Provincial - Hainaut |
| Sep 1, 2019 | Montignies(home) | 2-4 | Provincial - Hainaut |
| Aug 24, 2019 | Le Roeulx(away) | 0-1 | Provincial - Hainaut |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2019 | Binche(home) | 4-2 | Provincial - Hainaut |
| Sep 1, 2019 | RAS Monceau(away) | 0-1 | Provincial - Hainaut |
| Aug 25, 2019 | Houdeng(home) | 2-0 | Provincial - Hainaut |
| Aug 4, 2019 | Hoogstraten(away) | 0-4 | Cup |
| Jul 28, 2019 | SG-Tertre-Hautrage II(home) | 4-1 | Cup |
How many goals should we expect?
Snef-Tyber score 1.7 and concede 2.0 goals per match over their last 3; Molenbaix score 2.0 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Snef-Tyber | 1.7 | 2.0 | 0 | 2/3 | 2/3 |
| Molenbaix | 2.0 | 1.6 | 1 | 2/5 | 3/5 |
Over the last 3 matches in all competitions.
Where do both teams sit in the table?
Snef-Tyber sit 14th in Provincial - Hainaut (19 points from 30 matches) and Molenbaix sit 3rd (56 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Molenbaix | 30 | 17 | 5 | 8 | 85 | 46 | 56 |
| 14 | Snef-Tyber | 30 | 5 | 4 | 21 | 36 | 88 | 19 |
A question about Snef-Tyber vs Molenbaix?
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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