Rhisnes vs Wépion: result 1-0 and analysis
Provincial - NamurNamur - 12Kick-off on November 10, 2019 at 01:30 PM (UTC)Terrein Rhisnes - 1st Terrein, Rhisnes
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What was the result of Rhisnes vs Wépion?
Rhisnes won 1-0 on November 10, 2019.
What is the recent form of both teams?
Over their last 13 matches in all competitions, Rhisnes have 4 wins, 2 draws and 7 defeats; Wépion have 0, 0 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 27, 2019 | Loyers(away) | 0-1 | Provincial - Namur |
| Oct 20, 2019 | Profondeville(away) | 3-3 | Provincial - Namur |
| Oct 13, 2019 | Grand-Leez(home) | 3-2 | Provincial - Namur |
| Oct 6, 2019 | Condruzien(away) | 1-5 | Provincial - Namur |
| Sep 29, 2019 | Biesme(home) | 1-2 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 3, 2019 | Beauraing(away) | 0-2 | Provincial - Namur |
| Oct 27, 2019 | Profondeville(home) | 0-2 | Provincial - Namur |
| Oct 20, 2019 | Grand-Leez(away) | 0-2 | Provincial - Namur |
| Oct 13, 2019 | Condruzien(home) | 2-4 | Provincial - Namur |
| Oct 4, 2019 | Biesme(away) | 0-3 | Provincial - Namur |
How many goals should we expect?
Rhisnes score 1.9 and concede 2.6 goals per match over their last 13; Wépion score 0.3 and concede 3.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rhisnes | 1.9 | 2.6 | 1 | 10/13 | 11/13 |
| Wépion | 0.3 | 3.4 | 0 | 3/12 | 7/12 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Rhisnes sit 9th in Provincial - Namur (38 points from 30 matches) and Wépion sit 14th (25 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Rhisnes | 30 | 11 | 5 | 14 | 58 | 79 | 38 |
| 14 | Wépion | 30 | 7 | 4 | 19 | 40 | 78 | 25 |
A question about Rhisnes vs Wépion?
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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