HJS Akatemia vs FC jazz: result 0-2 and analysis
Kakkonen - Lohko BRegular Season - 22Kick-off on September 29, 2018 at 12:00 PM (UTC)Kaurialan kenttä, Tavastehus
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What was the result of HJS Akatemia vs FC jazz?
FC jazz won 0-2 on September 29, 2018.
What is the recent form of both teams?
Over their last 15 matches in all competitions, HJS Akatemia have 6 wins, 1 draws and 8 defeats; FC jazz have 4, 2 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | KäPa(away) | 2-0 | Kakkonen - Lohko B |
| Sep 15, 2018 | KaaPo(away) | 1-2 | Kakkonen - Lohko B |
| Sep 9, 2018 | BK-46(home) | 3-1 | Kakkonen - Lohko B |
| Sep 5, 2018 | GrIFK(home) | 0-2 | Kakkonen - Lohko B |
| Aug 26, 2018 | GrIFK(away) | 2-0 | Kakkonen - Lohko B |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2018 | KaaPo(home) | 1-0 | Kakkonen - Lohko B |
| Sep 16, 2018 | GrIFK(away) | 2-3 | Kakkonen - Lohko B |
| Sep 9, 2018 | FC Espoo(away) | 2-2 | Kakkonen - Lohko B |
| Sep 1, 2018 | SalPa(home) | 2-3 | Kakkonen - Lohko B |
| Aug 28, 2018 | Kiffen(away) | 0-1 | Kakkonen - Lohko B |
What does the head-to-head say?
Across the last 1 meetings: 0 HJS Akatemia win(s), 0 draw(s), 1 FC jazz win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 30, 2018 | FC jazz 2-1 HJS Akatemia | Kakkonen - Lohko B |
Last archived meeting: FC jazz vs HJS Akatemia on Jun 30, 2018
How many goals should we expect?
HJS Akatemia score 1.7 and concede 1.6 goals per match over their last 15; FC jazz score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| HJS Akatemia | 1.7 | 1.6 | 5 | 6/15 | 9/15 |
| FC jazz | 1.1 | 1.7 | 2 | 8/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | HJS Akatemia | 18 | 9 | 4 | 5 | 30 | 24 | 31 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy