Gais vs Norrby IF: result 2-1 and analysis
SuperettanRegular Season - 28Kick-off on October 21, 2017 at 12:00 PM (UTC)Gamla Ullevi, Göteborg
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What was the result of Gais vs Norrby IF?
Gais won 2-1 on October 21, 2017.
Goalscorers
- 24′Marcus ÖversjöNorrby IF
- 47′Carl NyströmGais
- 90′L. MijaljevicGais
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gais have 4 wins, 4 draws and 7 defeats; Norrby IF have 7, 1 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 15, 2017 | Atvidabergs FF(away) | 2-3 | Superettan |
| Sep 30, 2017 | IF Brommapojkarna(home) | 0-0 | Superettan |
| Sep 25, 2017 | IFK Varnamo(away) | 0-2 | Superettan |
| Sep 19, 2017 | IK Frej(home) | 1-0 | Superettan |
| Sep 11, 2017 | Trelleborg(away) | 0-2 | Superettan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 14, 2017 | Degerfors IF(home) | 2-0 | Superettan |
| Sep 29, 2017 | Falkenbergs FF(away) | 4-1 | Superettan |
| Sep 24, 2017 | Osters IF(home) | 0-2 | Superettan |
| Sep 17, 2017 | IF Brommapojkarna(home) | 1-0 | Superettan |
| Sep 10, 2017 | Gefle IF(away) | 2-3 | Superettan |
What does the head-to-head say?
Across the last 1 meetings: 0 Gais win(s), 1 draw(s), 0 Norrby IF win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 2, 2017 | Norrby IF 0-0 Gais | Superettan |
How many goals should we expect?
Gais score 0.9 and concede 1.3 goals per match over their last 15; Norrby IF score 1.8 and concede 2.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gais | 0.9 | 1.3 | 4 | 7/15 | 5/15 |
| Norrby IF | 1.8 | 2.1 | 2 | 10/15 | 11/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Norrby IF | 20 | 4 | 11 | 5 | 25 | 27 | 23 |
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