Rapid Symphorinois vs Jodoigne: result 3-1 and analysis
Third Amateur Division - ACFF AACFF A - 9Kick-off on October 22, 2022 at 06:00 PM (UTC)Stade Charles Tondreau, Mons
Full time
What was the result of Rapid Symphorinois vs Jodoigne?
Rapid Symphorinois won 3-1 on October 22, 2022.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rapid Symphorinois have 7 wins, 3 draws and 5 defeats; Jodoigne have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Gosselies Sports(away) | 3-3 | Third Amateur Division - ACFF A |
| Oct 8, 2022 | Ostiches(home) | 2-0 | Third Amateur Division - ACFF A |
| Oct 1, 2022 | Tournai(home) | 2-1 | Third Amateur Division - ACFF A |
| Sep 25, 2022 | Crossing Schaerbeek(away) | 3-1 | Third Amateur Division - ACFF A |
| Sep 17, 2022 | Aische(home) | 1-6 | Third Amateur Division - ACFF A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 16, 2022 | Crossing Schaerbeek(home) | 1-0 | Third Amateur Division - ACFF A |
| Oct 8, 2022 | Aische(away) | 1-2 | Third Amateur Division - ACFF A |
| Oct 2, 2022 | Léopold(home) | 1-2 | Third Amateur Division - ACFF A |
| Sep 24, 2022 | Couvin-Mariembourg(away) | 0-0 | Third Amateur Division - ACFF A |
| Sep 18, 2022 | Onhaye(home) | 2-1 | Third Amateur Division - ACFF A |
How many goals should we expect?
Rapid Symphorinois score 1.7 and concede 1.8 goals per match over their last 15; Jodoigne score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rapid Symphorinois | 1.7 | 1.8 | 4 | 10/15 | 10/15 |
| Jodoigne | 1.7 | 1.5 | 4 | 9/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Jodoigne | 26 | 5 | 5 | 16 | 28 | 50 | 20 |
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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