Rhisnes vs Grand-Leez: result 3-2 and analysis
Provincial - NamurNamur - 9Kick-off on October 13, 2019 at 01:00 PM (UTC)Terrein Rhisnes - 1st Terrein, Rhisnes
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What was the result of Rhisnes vs Grand-Leez?
Rhisnes won 3-2 on October 13, 2019.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Rhisnes have 3 wins, 1 draw and 6 defeats; Grand-Leez have 4, 3 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2019 | Condruzien(away) | 1-5 | Provincial - Namur |
| Sep 29, 2019 | Biesme(home) | 1-2 | Provincial - Namur |
| Sep 22, 2019 | Nismes(away) | 2-3 | Provincial - Namur |
| Sep 15, 2019 | Chevetogne(home) | 3-4 | Provincial - Namur |
| Sep 8, 2019 | Jeunesse Tamines(away) | 1-5 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 5, 2019 | Profondeville(home) | 2-0 | Provincial - Namur |
| Sep 29, 2019 | Loyers(away) | 2-2 | Provincial - Namur |
| Sep 22, 2019 | Condruzien(away) | 4-1 | Provincial - Namur |
| Sep 15, 2019 | Biesme(home) | 0-3 | Provincial - Namur |
| Sep 8, 2019 | Nismes(away) | 1-2 | Provincial - Namur |
How many goals should we expect?
Rhisnes score 1.9 and concede 2.8 goals per match over their last 10; Grand-Leez score 1.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rhisnes | 1.9 | 2.8 | 1 | 8/10 | 9/10 |
| Grand-Leez | 1.7 | 1.4 | 3 | 6/10 | 5/10 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
Rhisnes sit 9th in Provincial - Namur (38 points from 30 matches) and Grand-Leez sit 2nd (73 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Grand-Leez | 30 | 23 | 4 | 3 | 84 | 25 | 73 |
| 9 | Rhisnes | 30 | 11 | 5 | 14 | 58 | 79 | 38 |
A question about Rhisnes vs Grand-Leez?
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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