Gute vs Akropolis: prediction and stats
Division 2 - Norra SvealandNorra Svealand - 4Kick-off on April 24, 2022 at 11:00 AM (UTC)Gutavallen, Gotland
Match cancelled
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gute have 5 wins, 0 draws and 10 defeats; Akropolis have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 15, 2022 | Rågsved(away) | 1-2 | Division 2 - Norra Svealand |
| Apr 10, 2022 | Forsbacka(home) | 1-0 | Division 2 - Norra Svealand |
| Apr 2, 2022 | Korsnäs(away) | 1-3 | Division 2 - Norra Svealand |
| Dec 4, 2021 | Stockholm Internazionale(away) | 0-3 | Division 2 - Norra Svealand |
| Nov 27, 2021 | Stocksund(home) | 1-3 | Division 2 - Norra Svealand |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 9, 2022 | Hudiksvall(away) | 0-3 | Division 2 - Norra Svealand |
| Apr 2, 2022 | Stocksund(home) | 0-28 | Division 2 - Norra Svealand |
| Mar 6, 2022 | Landskrona BoIS(away) | 3-1 | Svenska Cupen |
| Feb 26, 2022 | IFK Goteborg(home) | 1-1 | Svenska Cupen |
| Feb 20, 2022 | Mjallby AIF(away) | 0-0 | Svenska Cupen |
How many goals should we expect?
Gute score 1.3 and concede 2.3 goals per match over their last 15; Akropolis score 0.7 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gute | 1.3 | 2.3 | 1 | 9/15 | 11/15 |
| Akropolis | 0.7 | 3.0 | 5 | 5/15 | 7/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 8 | Gute | 25 | 9 | 5 | 11 | 38 | 38 | 32 |
A question about Gute vs Akropolis?
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