IFK Norrkoping vs Kalmar FF: result 4-1 and analysis
AllsvenskanRegular Season - 2Kick-off on April 6, 2016 at 04:30 PM (UTC)PlatinumCars Arena, Norrköping
Full time
What was the result of IFK Norrkoping vs Kalmar FF?
IFK Norrkoping won 4-1 on April 6, 2016.
Goalscorers
- 23′N. TkalčićIFK Norrkoping
- 47′J. FjólusonIFK Norrkoping
- 66′M. AntonssonKalmar FF
- 71′Emir KujovićIFK Norrkoping
- 75′C. TeloIFK Norrkoping
Official lineup for IFK Norrkoping vs Kalmar FF
The starting elevens fielded at kick-off.
IFK Norrkoping
- 5C. Nyman
- 10Emir Kujović
- 6L. Wahlqvist
- 9A. Traustason
- 20Daniel Sjölund
- 27T. Tekie
- 3J. Fjóluson
- 4Andreas Johansson
- 11C. Telo
- 30N. Tkalčić
- 91D. Mitov Nilsson
Kalmar FF
- 9M. Antonsson
- 7Ismael Silva Lima
- 10Robert Tobias Eriksson
- 24F. Sachpekidis
- 29Romário
- 3S. Hedlund
- 4Marko Andrés Biskupovic Venturino
- 5V. Agardius
- 13E. Nouri
- 1Ole Söderberg
- 20C. Johansson
What is the recent form of both teams?
In their last match in all competitions, IFK Norrkoping have 0 wins, 0 draws and 1 defeat; Kalmar FF have 0, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Malmo FF(away) | 1-3 | Allsvenskan |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 2, 2016 | Jonkopings Sodra(home) | 0-1 | Allsvenskan |
How many goals should we expect?
IFK Norrkoping score 1.0 and concede 3.0 goals per match in their last match; Kalmar FF score 0.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| IFK Norrkoping | 1.0 | 3.0 | 0 | 1/1 | 1/1 |
| Kalmar FF | 0.0 | 1.0 | 0 | 0/1 | 0/1 |
Over the last match in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | Kalmar FF | 23 | 5 | 4 | 14 | 21 | 37 | 19 |
A question about IFK Norrkoping vs Kalmar FF?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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