Eskilstuna City vs Nyköping: result 0-1 and analysis
Division 2 - Södra SvealandSödra Svealand - 24Kick-off on September 13, 2021 at 05:30 PM (UTC)Tunavallen, Eskilstuna
Full time
What was the result of Eskilstuna City vs Nyköping?
Nyköping won 0-1 on September 13, 2021.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Eskilstuna City have 4 wins, 5 draws and 6 defeats; Nyköping have 10, 2 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2021 | Tyresö W(away) | 0-0 | Division 2 - Södra Svealand |
| Sep 4, 2021 | IFK Eskilstuna(away) | 1-4 | Division 2 - Södra Svealand |
| Aug 28, 2021 | Smedby(home) | 1-1 | Division 2 - Södra Svealand |
| Aug 25, 2021 | Tyresö W(home) | 3-4 | Division 2 - Södra Svealand |
| Aug 21, 2021 | Värmbols(away) | 0-0 | Division 2 - Södra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 8, 2021 | Motala(home) | 6-1 | Division 2 - Södra Svealand |
| Sep 4, 2021 | Rynninge(home) | 5-1 | Division 2 - Södra Svealand |
| Aug 29, 2021 | Arameiska / Syrianska(away) | 1-4 | Division 2 - Södra Svealand |
| Aug 25, 2021 | Motala(away) | 0-0 | Division 2 - Södra Svealand |
| Aug 21, 2021 | Karlslund(home) | 2-0 | Division 2 - Södra Svealand |
How many goals should we expect?
Eskilstuna City score 1.7 and concede 2.1 goals per match over their last 15; Nyköping score 2.9 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Eskilstuna City | 1.7 | 2.1 | 3 | 11/15 | 9/15 |
| Nyköping | 2.9 | 1.3 | 6 | 9/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Nyköping | 25 | 14 | 4 | 7 | 43 | 24 | 46 |
A question about Eskilstuna City vs Nyköping?
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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