Dijon II vs Roche Novillars: result 6-0 and analysis
National 3 - Group EGroup E - 3Kick-off on August 31, 2019 at 04:00 PM (UTC)Stade des Poussots, Dijon
Full time
What was the result of Dijon II vs Roche Novillars?
Dijon II won 6-0 on August 31, 2019.
Goalscorers
- 5′J. KeitaDijon II
- 16′E. LoiodiceDijon II
- 49′R. PhilippeDijon II
- 55′R. PhilippeDijon II
- 57′M. SedagondjiDijon II
- 85′191128Dijon II (o.g.)
Official lineup for Dijon II vs Roche Novillars
The starting elevens fielded at kick-off.
Dijon II
- 9R. Philippe
- 11J. Keita
- 7E. Loiodice
- 8C. Faussot
- 10B. Soumaré
- 2M. Sedagondji
- 3A. Ngouyamsa
- 4B. Racovițan
- 5T. Barbet
- 6A. Tchang-Tchong
- 1E. Hatfout
Roche Novillars
- 10J. Dorard
- 11Antony Antoine
- 2N. Sonney
- 4A. Colas
- 5V. Pequignot
- 6Y. Seguin
- 7D. Thomas
- 8H. Gedik
- 9A. Coutkas
- 3G. Zarambaud
- 1Sébastien Caleiras
What is the recent form of both teams?
Over their last 2 matches in all competitions, Dijon II have 0 wins, 1 draw and 1 defeat; Roche Novillars have 0, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2019 | Valdahon Vercel(away) | 1-2 | National 3 - Group E |
| Aug 17, 2019 | Selongey(away) | 2-2 | National 3 - Group E |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 25, 2019 | Selongey(home) | 1-2 | National 3 - Group E |
| Aug 17, 2019 | Morteau Montlebon(away) | 1-1 | National 3 - Group E |
| Nov 17, 2013 | Dinsheim(home) | 1-2 | Coupe de France |
| Nov 17, 2012 | Montceau(home) | 0-3 | Coupe de France |
How many goals should we expect?
Dijon II score 1.5 and concede 2.0 goals per match over their last 2; Roche Novillars score 0.8 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dijon II | 1.5 | 2.0 | 0 | 2/2 | 2/2 |
| Roche Novillars | 0.8 | 2.0 | 0 | 3/4 | 3/4 |
Over the last 2 matches in all competitions.
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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