AFC Eskilstuna vs Gais: result 2-1 and analysis
SuperettanRegular Season - 21Kick-off on September 3, 2018 at 05:00 PM (UTC)Tunavallen, Eskilstuna
Full time
What was the result of AFC Eskilstuna vs Gais?
AFC Eskilstuna won 2-1 on September 3, 2018.
Goalscorers
- 10′S. NnamaniAFC Eskilstuna
- 45′A. ÖstlingGais
- 86′S. NnamaniAFC Eskilstuna
What is the recent form of both teams?
Over their last 15 matches in all competitions, AFC Eskilstuna have 7 wins, 7 draws and 1 defeats; Gais have 4, 6 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 26, 2018 | Norrby IF(away) | 2-0 | Superettan |
| Aug 18, 2018 | Jonkopings Sodra(home) | 1-0 | Superettan |
| Aug 11, 2018 | Varbergs BoIS FC(away) | 1-1 | Superettan |
| Aug 5, 2018 | Halmstad(home) | 2-1 | Superettan |
| Jul 30, 2018 | Orgryte IS(away) | 0-0 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 28, 2018 | Orgryte IS(away) | 3-1 | Superettan |
| Aug 19, 2018 | Varbergs BoIS FC(home) | 0-2 | Superettan |
| Aug 12, 2018 | Norrby IF(away) | 1-1 | Superettan |
| Aug 6, 2018 | IK brage(home) | 1-1 | Superettan |
| Jul 28, 2018 | IK Frej(away) | 1-3 | Superettan |
What does the head-to-head say?
Across the last 3 meetings: 2 AFC Eskilstuna win(s), 1 draw(s), 0 Gais win(s).
| Date | Score | Competition |
|---|---|---|
| May 18, 2018 | Gais 0-1 AFC Eskilstuna | Superettan |
| Sep 17, 2016 | Gais 1-1 AFC Eskilstuna | Superettan |
| Apr 9, 2016 | AFC Eskilstuna 3-0 Gais | Superettan |
Last archived meeting: Gais vs AFC Eskilstuna on May 18, 2018
How many goals should we expect?
AFC Eskilstuna score 1.3 and concede 0.5 goals per match over their last 15; Gais score 1.6 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| AFC Eskilstuna | 1.3 | 0.5 | 10 | 5/15 | 4/15 |
| Gais | 1.6 | 1.5 | 0 | 12/15 | 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