Dalkurd FF vs Gais: result 3-0 and analysis
SuperettanRegular Season - 20Kick-off on August 18, 2019 at 01:00 PM (UTC)Studenternas IP, Uppsala
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What was the result of Dalkurd FF vs Gais?
Dalkurd FF won 3-0 on August 18, 2019.
Goalscorers
- 29′B. ŠabovićDalkurd FF
- 33′Ahmed Awad MohammadDalkurd FF
- 52′Ahmed Awad MohammadDalkurd FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dalkurd FF have 7 wins, 2 draws and 6 defeats; Gais have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 10, 2019 | Halmstad(away) | 0-2 | Superettan |
| Aug 3, 2019 | Jonkopings Sodra(home) | 0-2 | Superettan |
| Jul 28, 2019 | Vasteras SK FK(away) | 1-1 | Superettan |
| Jul 20, 2019 | Varbergs BoIS FC(home) | 1-0 | Superettan |
| Jul 14, 2019 | Gais(away) | 5-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 11, 2019 | Mjallby AIF(home) | 1-2 | Superettan |
| Aug 4, 2019 | Osters IF(away) | 1-2 | Superettan |
| Jul 27, 2019 | Syrianska FC(home) | 0-1 | Superettan |
| Jul 24, 2019 | Norrby IF(home) | 1-0 | Superettan |
| Jul 20, 2019 | Degerfors IF(away) | 1-0 | Superettan |
What does the head-to-head say?
Across the last 5 meetings: 4 Dalkurd FF win(s), 1 draw(s), 0 Gais win(s).
| Date | Score | Competition |
|---|---|---|
| Jul 14, 2019 | Gais 1-5 Dalkurd FF | Superettan |
| Oct 28, 2017 | Dalkurd FF 1-0 Gais | Superettan |
| Apr 8, 2017 | Gais 0-1 Dalkurd FF | Superettan |
| Oct 30, 2016 | Gais 0-1 Dalkurd FF | Superettan |
| May 8, 2016 | Dalkurd FF 2-2 Gais | Superettan |
How many goals should we expect?
Dalkurd FF score 1.5 and concede 1.6 goals per match over their last 15; Gais score 0.7 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dalkurd FF | 1.5 | 1.6 | 3 | 8/15 | 7/15 |
| Gais | 0.7 | 1.4 | 4 | 6/15 | 6/15 |
Over the last 15 matches in all competitions.
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