Ergué-Gaberic vs Brest II: result 1-3 and analysis
National 3 - Group KGroup K - 12Kick-off on December 14, 2019 at 05:00 PM (UTC)Stade Lestonan 1, Ergue Gaberic
Full time
What was the result of Ergué-Gaberic vs Brest II?
Brest II won 1-3 on December 14, 2019.
Goalscorers
- 17′P. Le ResteErgué-Gaberic
- 24′Justin RannouBrest II
- 57′Y. KujabiBrest II
- 90′S. FernandesBrest II
What is the recent form of both teams?
Over their last 11 matches in all competitions, Ergué-Gaberic have 3 wins, 2 draws and 6 defeats; Brest II have 3, 3 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2019 | Dinan Léhon(away) | 1-7 | National 3 - Group K |
| Nov 30, 2019 | Trégunc(home) | 3-1 | National 3 - Group K |
| Nov 23, 2019 | Guichen(away) | 1-2 | National 3 - Group K |
| Nov 10, 2019 | Stade Pontivy(home) | 0-0 | National 3 - Group K |
| Oct 20, 2019 | Stade Plabennec(home) | 2-0 | National 3 - Group K |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Dec 7, 2019 | Saint-Colomban Locminé(away) | 0-0 | National 3 - Group K |
| Nov 23, 2019 | Rennes II(home) | 1-2 | National 3 - Group K |
| Nov 9, 2019 | Drapeau Fougères(away) | 3-1 | National 3 - Group K |
| Nov 2, 2019 | Pontivy GSI(home) | 3-5 | National 3 - Group K |
| Oct 19, 2019 | Lannion(away) | 3-1 | National 3 - Group K |
How many goals should we expect?
Ergué-Gaberic score 1.4 and concede 1.7 goals per match over their last 11; Brest II score 1.5 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ergué-Gaberic | 1.4 | 1.7 | 3 | 6/11 | 6/11 |
| Brest II | 1.5 | 2.1 | 1 | 7/11 | 8/11 |
Over the last 11 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Brest II | 26 | 7 | 8 | 11 | 35 | 35 | 29 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy