Oudenaarde vs Ronse: result 2-3 and analysis
Second Amateur Division - VFV AVFV A - 14Kick-off on November 30, 2019 at 07:00 PM (UTC)Burgemeester Thienpontstadion, Oudenaarde
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What was the result of Oudenaarde vs Ronse?
Ronse won 2-3 on November 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oudenaarde have 9 wins, 2 draws and 4 defeats; Ronse have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | Merelbeke(home) | 4-3 | Second Amateur Division - VFV A |
| Nov 16, 2019 | KRC Gent(away) | 3-2 | Second Amateur Division - VFV A |
| Nov 9, 2019 | Voorwaarts Zwevezele(home) | 3-2 | Second Amateur Division - VFV A |
| Nov 3, 2019 | Knokke(away) | 0-3 | Second Amateur Division - VFV A |
| Oct 26, 2019 | Sint-Niklaas(home) | 4-0 | Second Amateur Division - VFV A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 23, 2019 | KRC Gent(away) | 0-2 | Second Amateur Division - VFV A |
| Nov 16, 2019 | Knokke(home) | 0-1 | Second Amateur Division - VFV A |
| Nov 10, 2019 | Gullegem(away) | 4-0 | Second Amateur Division - VFV A |
| Nov 3, 2019 | Mandel United(home) | 1-0 | Second Amateur Division - VFV A |
| Oct 26, 2019 | Temse(away) | 1-0 | Second Amateur Division - VFV A |
How many goals should we expect?
Oudenaarde score 2.3 and concede 1.8 goals per match over their last 15; Ronse score 1.7 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oudenaarde | 2.3 | 1.8 | 3 | 11/15 | 13/15 |
| Ronse | 1.7 | 1.3 | 4 | 7/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Oudenaarde | 30 | 9 | 8 | 13 | 39 | 54 | 35 |
A question about Oudenaarde vs Ronse?
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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