Deinze vs Liège: result 5-0 and analysis
First Amateur DivisionRegular Season - 2Kick-off on September 7, 2019 at 06:00 PM (UTC)Dakota Arena, Deinze
Full time
What was the result of Deinze vs Liège?
Deinze won 5-0 on September 7, 2019.
Goalscorers
- 40′L. MertensDeinze
- 43′L. MertensDeinze
- 53′L. MertensDeinze
- 59′L. MertensDeinze
- 68′M. TarfiDeinze
Official lineup for Deinze vs Liège
The starting elevens fielded at kick-off.
Deinze
- LL. Mertens
- FFlavien Le Postollec
- MMathias Schils
- MM. Tarfi
- YY. Challouk
- AArnaud De Greef
- JJ. Vansteenkiste
- GG. Libbrecht
- NNiels De Schutter
- MM. De Looze
- TT. Vandenberghe
Liège
- MM. Lallemand
- YY. Bangoura
- BB. Schmit
- YY. Mariën
- SS. Teruel
- EE. Massa
- BB. Van den Ackerveken
- JJ. D'Ostilio
- RR. Giargiana
- DD. Mouchamps
- LLucas Alfieri
What is the recent form of both teams?
Over their last 3 matches in all competitions, Deinze have 2 wins, 1 draw and 0 defeats; Liège have 1, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Rupel Boom(away) | 2-0 | First Amateur Division |
| Aug 18, 2019 | Heist(home) | 0-0 | Cup |
| Aug 11, 2019 | UCE Liège(away) | 3-0 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 1, 2019 | Heist(home) | 0-3 | First Amateur Division |
| Aug 18, 2019 | Francs Borains(away) | 1-2 | Cup |
| Aug 11, 2019 | Oostnieuwkerke(away) | 3-0 | Cup |
How many goals should we expect?
Deinze score 1.7 and concede 0.0 goals per match over their last 3; Liège score 1.3 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Deinze | 1.7 | 0.0 | 3 | 0/3 | 1/3 |
| Liège | 1.3 | 1.7 | 1 | 1/3 | 3/3 |
Over the last 3 matches in all competitions.
A question about Deinze vs Liège?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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