I-Kissat vs MaPS: result 0-0 and analysis
Kakkonen - Lohko CRegular Season - 15Kick-off on July 20, 2014 at 03:30 PM (UTC)Lamminpää urheilukenttä, Tampere
Full time
What was the result of I-Kissat vs MaPS?
I-Kissat and MaPS drew 0-0 on July 20, 2014.
What is the recent form of both teams?
Over their last 14 matches in all competitions, I-Kissat have 4 wins, 4 draws and 6 defeats; MaPS have 5, 6 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 13, 2014 | Hämeenlinna(away) | 4-3 | Kakkonen - Lohko C |
| Jul 6, 2014 | TPV(away) | 1-2 | Kakkonen - Lohko C |
| Jun 29, 2014 | ÅIFK(home) | 1-1 | Kakkonen - Lohko C |
| Jun 23, 2014 | Sporting Kristina(away) | 4-1 | Kakkonen - Lohko C |
| Jun 18, 2014 | Kerho 07 (SJK II)(home) | 0-3 | Kakkonen - Lohko C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jul 16, 2014 | Kerho 07 (SJK II)(away) | 2-1 | Kakkonen - Lohko C |
| Jul 13, 2014 | P-Iirot(home) | 6-1 | Kakkonen - Lohko C |
| Jul 6, 2014 | Sporting Kristina(away) | 0-0 | Kakkonen - Lohko C |
| Jun 29, 2014 | TPV(home) | 2-2 | Kakkonen - Lohko C |
| Jun 12, 2014 | Kraft(home) | 1-0 | Kakkonen - Lohko C |
What does the head-to-head say?
In the last meeting: 0 I-Kissat wins, 0 draws, 1 MaPS win.
| Date | Score | Competition |
|---|---|---|
| May 28, 2014 | MaPS 2-1 I-Kissat | Kakkonen - Lohko C |
How many goals should we expect?
I-Kissat score 1.4 and concede 1.6 goals per match over their last 14; MaPS score 1.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| I-Kissat | 1.4 | 1.6 | 3 | 9/14 | 8/14 |
| MaPS | 1.4 | 1.2 | 5 | 7/15 | 8/15 |
Over the last 14 matches in all competitions.
A question about I-Kissat vs MaPS?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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