Eskilstuna City vs Karlberg: result 0-1 and analysis
Division 2 - Norra SvealandRegular Season - 7Kick-off on May 20, 2017 at 01:00 PM (UTC)Tunavallen, Eskilstuna
Full time
What was the result of Eskilstuna City vs Karlberg?
Karlberg won 0-1 on May 20, 2017.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Eskilstuna City have 5 wins, 4 draws and 6 defeats; Karlberg have 9, 4 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Skiljebo(away) | 1-2 | Division 2 - Norra Svealand |
| May 6, 2017 | Lidingö(home) | 3-3 | Division 2 - Norra Svealand |
| May 1, 2017 | Norrtälje(away) | 2-1 | Division 2 - Norra Svealand |
| Apr 22, 2017 | Karlslund(home) | 1-2 | Division 2 - Norra Svealand |
| Apr 15, 2017 | Strömsberg(away) | 2-1 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 13, 2017 | Sundbyberg(home) | 1-0 | Division 2 - Norra Svealand |
| May 7, 2017 | Forward(away) | 0-3 | Division 2 - Norra Svealand |
| Apr 29, 2017 | Aspudden-Tellus(home) | 1-1 | Division 2 - Norra Svealand |
| Apr 23, 2017 | Syrianska IF(away) | 2-1 | Division 2 - Norra Svealand |
| Apr 14, 2017 | Håbo(home) | 3-2 | Division 2 - Norra Svealand |
How many goals should we expect?
Eskilstuna City score 2.3 and concede 2.1 goals per match over their last 15; Karlberg score 2.0 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eskilstuna City | 2.3 | 2.1 | 0 | 15/15 | 15/15 |
| Karlberg | 2.0 | 1.2 | 4 | 9/15 | 8/15 |
Over the last 15 matches in all competitions.
A question about Eskilstuna City vs Karlberg?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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