Angelholms FF vs Mjallby AIF: result 1-2 and analysis
Ettan - SödraRegular Season - 13Kick-off on July 9, 2017 at 02:00 PM (UTC)Änglavallen, Ängelholm
Full time
What was the result of Angelholms FF vs Mjallby AIF?
Mjallby AIF won 1-2 on July 9, 2017.
Goalscorers
- 23′Emhe IzuchukwuMjallby AIF
- 28′Emhe IzuchukwuMjallby AIF
- 90′A. KarlssonAngelholms FF
What is the recent form of both teams?
Over their last 15 matches in all competitions, Angelholms FF have 6 wins, 2 draws and 7 defeats; Mjallby AIF 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 |
|---|---|---|---|
| Jul 2, 2017 | Ljungskile SK(away) | 1-0 | Ettan - Södra |
| Jun 25, 2017 | Rosengård(home) | 0-3 | Ettan - Södra |
| Jun 19, 2017 | Kristianstad(away) | 0-3 | Ettan - Södra |
| Jun 11, 2017 | Assyriska BK(home) | 3-0 | Ettan - Södra |
| Jun 4, 2017 | Husqvarna(away) | 0-3 | Ettan - Södra |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 1, 2017 | Oskarshamns AIK(away) | 3-3 | Ettan - Södra |
| Jun 25, 2017 | Ljungskile SK(home) | 1-0 | Ettan - Södra |
| Jun 18, 2017 | Rosengård(away) | 5-1 | Ettan - Södra |
| Jun 12, 2017 | Kristianstad(home) | 2-1 | Ettan - Södra |
| Jun 3, 2017 | Assyriska BK(away) | 4-1 | Ettan - Södra |
How many goals should we expect?
Angelholms FF score 1.1 and concede 1.3 goals per match over their last 15; Mjallby AIF score 2.5 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Angelholms FF | 1.1 | 1.3 | 6 | 4/15 | 8/15 |
| Mjallby AIF | 2.5 | 1.3 | 3 | 12/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 15 | Angelholms FF | 27 | 5 | 9 | 13 | 33 | 48 | 24 |
A question about Angelholms FF vs Mjallby AIF?
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