MaPS vs Hämeenlinna: result 0-0 and analysis
Kakkonen - Lohko CRegular Season - 2Kick-off on May 9, 2013 at 01:00 PM (UTC)Masku Taponketo nurmi, Masku
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What was the result of MaPS vs Hämeenlinna?
MaPS and Hämeenlinna drew 0-0 on May 9, 2013.
Official lineup for MaPS vs Hämeenlinna
The starting elevens fielded at kick-off.
MaPS
- 21J. Hämäläinen
- 6Rasmus Holma
- 11N. Harjula
- 12Petteri Peltola
- 17Jami Laaksonen
- 18J. Junnila
- 20Petteri Laaksonen
- 3J. Malka
- 4Kalle Mäkinen
- 16Toni Järvinen
- 24Lassi Pyölli
Hämeenlinna
- 9Jere Suomalainen
- 17Harri Suhonen
- 45A. Latvanen
- 6L. Hakanen
- 14A. Nieminen
- 20B. Grabovci
- 24A. Topinoja
- 11Mikko Matinaro
- 71Miro Purosto
- 85J. Saarinen
- 90Ville Kalervo
What is the recent form of both teams?
Over their last 6 matches in all competitions, MaPS have 3 wins, 1 draw and 2 defeats; Hämeenlinna have 5, 3 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | Sporting Kristina(home) | 2-0 | Kakkonen - Lohko C |
| Apr 28, 2013 | FC jazz(away) | 3-3 | Kakkonen - Lohko C |
| Mar 17, 2013 | Haka(home) | 0-4 | Suomen Cup |
| Mar 3, 2013 | SalPa(home) | 2-1 | Suomen Cup |
| Mar 25, 2012 | EIF(home) | 2-3 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 4, 2013 | TPV(away) | 2-1 | Kakkonen - Lohko C |
| Apr 27, 2013 | Musa(home) | 2-0 | Kakkonen - Lohko C |
| Mar 9, 2013 | TPV(away) | 1-6 | Suomen Cup |
| Oct 6, 2012 | JIPPO(away) | 0-0 | Ykkönen |
| Sep 30, 2012 | AC Oulu(home) | 1-3 | Ykkönen |
How many goals should we expect?
MaPS score 2.0 and concede 2.0 goals per match over their last 6; Hämeenlinna score 0.9 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MaPS | 2.0 | 2.0 | 1 | 4/6 | 5/6 |
| Hämeenlinna | 0.9 | 1.5 | 6 | 5/15 | 7/15 |
Over the last 6 matches in all competitions.
A question about MaPS vs Hämeenlinna?
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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