MaPS vs Sporting Kristina: result 2-0 and analysis
Kakkonen - Lohko CRegular Season - 2Kick-off on May 4, 2013 at 01:00 PM (UTC)Masku Taponketo nurmi, Masku
Full time
What was the result of MaPS vs Sporting Kristina?
MaPS won 2-0 on May 4, 2013.
Goalscorers
- 25′N. HarjulaMaPS
- 28′N. HarjulaMaPS
Official lineup for MaPS vs Sporting Kristina
The starting elevens fielded at kick-off.
MaPS
- 6Rasmus Holma
- 8Santeri Suvala
- 11N. Harjula
- 12Petteri Peltola
- 14T. Kaplas
- 18J. Junnila
- 20Petteri Laaksonen
- 3J. Malka
- 4Kalle Mäkinen
- 16Toni Järvinen
- 23V. Seppänen
Sporting Kristina
- 2J. Tarvoll
- 18S. Konate
- 26Marco António Meireles Rios
- 4A. Stambolija
- 8J. Grannas
- 10L. Grines
- 20P. Grannas
- 3A. Mäkiharju
- 6A. Hannus
- 23M. Rajkovic
- 1Gastón Emanuel Brambatti
What is the recent form of both teams?
Over their last 5 matches in all competitions, MaPS have 2 wins, 1 draw and 2 defeats; Sporting Kristina have 1, 0 and 1.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| 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 |
| Feb 26, 2012 | TP-T(away) | 3-1 | Suomen Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 6, 2012 | P-Iirot(away) | 3-1 | Kakkonen - Lohko B |
| Sep 30, 2012 | Härmä(home) | 1-3 | Kakkonen - Lohko B |
How many goals should we expect?
MaPS score 2.0 and concede 2.4 goals per match over their last 5; Sporting Kristina score 2.0 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MaPS | 2.0 | 2.4 | 0 | 4/5 | 5/5 |
| Sporting Kristina | 2.0 | 2.0 | 0 | 2/2 | 2/2 |
Over the last 5 matches in all competitions.
A question about MaPS vs Sporting Kristina?
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