Gais vs Dalkurd FF: result 1-5 and analysis
SuperettanRegular Season - 15Kick-off on July 14, 2019 at 01:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of Gais vs Dalkurd FF?
Dalkurd FF won 1-5 on July 14, 2019.
Goalscorers
- 18′B. ŠabovićDalkurd FF
- 31′K. CissokoDalkurd FF
- 45′L. PllanaGais
- 60′I. JašarevićDalkurd FF
- 75′J. CeesayDalkurd FF
- 90′F. AyazDalkurd FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gais have 4 wins, 5 draws and 6 defeats; Dalkurd FF have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 24, 2019 | Degerfors IF(home) | 0-3 | Superettan |
| Jun 17, 2019 | Orgryte IS(away) | 0-1 | Superettan |
| Jun 2, 2019 | Varbergs BoIS FC(away) | 1-2 | Superettan |
| May 26, 2019 | Mjallby AIF(away) | 0-2 | Superettan |
| May 21, 2019 | Vasteras SK FK(home) | 1-1 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 25, 2019 | Vasteras SK FK(home) | 1-6 | Superettan |
| Jun 15, 2019 | IK Frej(away) | 3-1 | Superettan |
| Jun 9, 2019 | Halmstad(home) | 1-0 | Superettan |
| Jun 1, 2019 | Norrby IF(away) | 0-0 | Superettan |
| May 28, 2019 | Orgryte IS(home) | 3-2 | Superettan |
What does the head-to-head say?
Across the last 4 meetings: 0 Gais win(s), 1 draw(s), 3 Dalkurd FF win(s).
| Date | Score | Competition |
|---|---|---|
| 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?
Gais score 0.9 and concede 1.3 goals per match over their last 15; Dalkurd FF score 1.2 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gais | 0.9 | 1.3 | 3 | 7/15 | 6/15 |
| Dalkurd FF | 1.2 | 1.6 | 4 | 7/15 | 8/15 |
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