Nismes vs Rhisnes: result 3-2 and analysis
Provincial - NamurNamur - 6Kick-off on September 22, 2019 at 01:00 PM (UTC)Terrain de Nismes, Nismes
Full time
What was the result of Nismes vs Rhisnes?
Nismes won 3-2 on September 22, 2019.
What is the recent form of both teams?
Over their last 6 matches in all competitions, Nismes have 4 wins, 0 draws and 2 defeats; Rhisnes have 3, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Profondeville(away) | 3-1 | Provincial - Namur |
| Sep 8, 2019 | Grand-Leez(home) | 2-1 | Provincial - Namur |
| Sep 1, 2019 | Condruzien(away) | 5-4 | Provincial - Namur |
| Aug 25, 2019 | Biesme(home) | 3-2 | Provincial - Namur |
| Aug 18, 2019 | Loyers(away) | 1-3 | Provincial - Namur |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 15, 2019 | Chevetogne(home) | 3-4 | Provincial - Namur |
| Sep 8, 2019 | Jeunesse Tamines(away) | 1-5 | Provincial - Namur |
| Sep 1, 2019 | Beauraing(home) | 3-3 | Provincial - Namur |
| Aug 25, 2019 | De Neffe(away) | 3-1 | Provincial - Namur |
| Aug 18, 2019 | Fernelmont-Hemptinne(home) | 3-2 | Provincial - Namur |
How many goals should we expect?
Nismes score 2.7 and concede 2.5 goals per match over their last 6; Rhisnes score 2.1 and concede 2.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nismes | 2.7 | 2.5 | 0 | 6/6 | 6/6 |
| Rhisnes | 2.1 | 2.6 | 1 | 5/7 | 6/7 |
Over the last 6 matches in all competitions.
Where do both teams sit in the table?
Nismes sit 7th in Provincial - Namur (43 points from 30 matches) and Rhisnes sit 9th (38 points from 30 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nismes | 30 | 12 | 7 | 11 | 57 | 44 | 43 |
| 9 | Rhisnes | 30 | 11 | 5 | 14 | 58 | 79 | 38 |
A question about Nismes vs Rhisnes?
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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