MaPS vs I-Kissat: result 0-2 and analysis
Kakkonen - Lohko CRegular Season - 24Kick-off on September 13, 2014 at 12:00 PM (UTC)Masku Taponketo nurmi, Masku
Full time
What was the result of MaPS vs I-Kissat?
I-Kissat won 0-2 on September 13, 2014.
What is the recent form of both teams?
Over their last 15 matches in all competitions, MaPS have 7 wins, 5 draws and 3 defeats; I-Kissat have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | P-Iirot(away) | 0-2 | Kakkonen - Lohko C |
| Aug 30, 2014 | Sporting Kristina(away) | 5-2 | Kakkonen - Lohko C |
| Aug 22, 2014 | TPV(home) | 1-0 | Kakkonen - Lohko C |
| Aug 15, 2014 | Kerho 07 (SJK II)(home) | 2-1 | Kakkonen - Lohko C |
| Aug 10, 2014 | VIFK(away) | 1-2 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 7, 2014 | Hämeenlinna(home) | 2-1 | Kakkonen - Lohko C |
| Aug 29, 2014 | TPV(away) | 1-3 | Kakkonen - Lohko C |
| Aug 24, 2014 | ÅIFK(away) | 1-2 | Kakkonen - Lohko C |
| Aug 17, 2014 | Sporting Kristina(home) | 3-1 | Kakkonen - Lohko C |
| Aug 11, 2014 | Kerho 07 (SJK II)(away) | 1-0 | Kakkonen - Lohko C |
What does the head-to-head say?
Across the last 2 meetings: 1 MaPS win, 1 draw, 0 I-Kissat wins.
| Date | Score | Competition |
|---|---|---|
| Jul 20, 2014 | I-Kissat 0-0 MaPS | Kakkonen - Lohko C |
| May 28, 2014 | MaPS 2-1 I-Kissat | Kakkonen - Lohko C |
How many goals should we expect?
MaPS score 1.9 and concede 1.3 goals per match over their last 15; I-Kissat score 1.7 and concede 1.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| MaPS | 1.9 | 1.3 | 5 | 9/15 | 9/15 |
| I-Kissat | 1.7 | 1.5 | 3 | 11/15 | 10/15 |
Over the last 15 matches in all competitions.
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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