POHU vs Sudet: result 1-0 and analysis
Kakkonen - Lohko ARegular Season - 4Kick-off on May 26, 2013 at 03:30 PM (UTC)Selekta Areena, Helsinki
Full time
What was the result of POHU vs Sudet?
POHU won 1-0 on May 26, 2013.
Goalscorers
- 35′D. KovalenkoPOHU
Official lineup for POHU vs Sudet
The starting elevens fielded at kick-off.
POHU
- 19Phillip Nduka
- 21D. Kovalenko
- 20J. Kuikka
- 25Liridon Islami
- 4V. Honkanen
- 6E. Koivisto
- 10L. Mäkelä
- 17T. Hokkanen
- 3S. Laatikainen
- 24J. Nieminen
- 23J. Bruun
Sudet
- 10M. Äijö
- 7N. Hermunen
- 8R. Venäläinen
- 21E. Inkilä
- 6O. Koli
- 15T. Laherto
- 17J. Tanska
- 28J. Mikkola
- 30Antti Kauppila
- 35J. Martikainen
- 1J. Taavila
What is the recent form of both teams?
Over their last 5 matches in all competitions, POHU have 1 win, 0 draws and 4 defeats; Sudet have 2, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2013 | MP(away) | 0-6 | Kakkonen - Lohko A |
| May 12, 2013 | PKKU(away) | 0-4 | Kakkonen - Lohko A |
| May 8, 2013 | Lahti Akatemia(home) | 0-1 | Kakkonen - Lohko A |
| May 5, 2013 | Atlantis(away) | 1-2 | Kakkonen - Lohko A |
| Apr 28, 2013 | Futura(home) | 1-0 | Kakkonen - Lohko A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 19, 2013 | JäPS(away) | 0-2 | Kakkonen - Lohko A |
| May 13, 2013 | Atlantis(home) | 2-1 | Kakkonen - Lohko A |
| May 10, 2013 | HIFK Helsinki(away) | 1-1 | Kakkonen - Lohko A |
| May 5, 2013 | MP(away) | 1-4 | Kakkonen - Lohko A |
| Apr 28, 2013 | PKKU(home) | 1-2 | Kakkonen - Lohko A |
How many goals should we expect?
POHU score 0.4 and concede 2.6 goals per match over their last 5; Sudet score 1.3 and concede 1.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| POHU | 0.4 | 2.6 | 1 | 1/5 | 3/5 |
| Sudet | 1.3 | 1.9 | 1 | 6/9 | 6/9 |
Over the last 5 matches in all competitions.
A question about POHU vs Sudet?
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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