Ilves vs Kooteepee: result 0-0 and analysis
YkkönenRegular Season - 9Kick-off on June 15, 2013 at 01:00 PM (UTC)Ratinan Stadion, Tampere (Tammerfors)
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What was the result of Ilves vs Kooteepee?
Ilves and Kooteepee drew 0-0 on June 15, 2013.
Official lineup for Ilves vs Kooteepee
The starting elevens fielded at kick-off.
Ilves
- 9Jonne Hjelm
- 10M. Jokinen
- 25Aapo Lappalainen
- 11Kaarlo Rantanen
- 17Ibrahim Köse
- 3Heikki Aho
- 5Antti Ojanperä
- 8O. Vakkala
- 24Jan Kulokorpi
- 26J. Nikkilä
- 12M. Kruuti
Kooteepee
- 9Alasana Camara
- 16Samuli Kaivonurmi
- 7J. Mulvany
- 15Jesse Miettinen
- 17Marko Tyyskä
- 20Valeri Minkenen
- 5Toni Lindberg
- 11Kevin Sawchak
- 13G. Ositashvili
- 25Henri Järviniemi
- 32K. Kütt
What is the recent form of both teams?
Over their last 11 matches in all competitions, Ilves have 4 wins, 3 draws and 4 defeats; Kooteepee have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2013 | AC Oulu(away) | 2-2 | Ykkönen |
| Jun 5, 2013 | Haka(away) | 0-3 | Ykkönen |
| Jun 2, 2013 | JIPPO(home) | 5-0 | Ykkönen |
| May 27, 2013 | PK-35 Vantaa(away) | 3-1 | Ykkönen |
| May 23, 2013 | Viikingit(away) | 1-0 | Ykkönen |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 9, 2013 | OPS Oulu(home) | 4-2 | Ykkönen |
| Jun 8, 2013 | Sudet(home) | 4-0 | Kakkonen - Lohko A |
| Jun 5, 2013 | HIFK Helsinki(home) | 1-4 | Kakkonen - Lohko A |
| Jun 2, 2013 | MP(away) | 4-0 | Kakkonen - Lohko A |
| Jun 2, 2013 | SJK(away) | 0-2 | Ykkönen |
How many goals should we expect?
Ilves score 2.0 and concede 1.6 goals per match over their last 11; Kooteepee score 1.8 and concede 1.4.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Ilves | 2.0 | 1.6 | 3 | 6/11 | 8/11 |
| Kooteepee | 1.8 | 1.4 | 6 | 7/15 | 8/15 |
Over the last 11 matches in all competitions.
A question about Ilves vs Kooteepee?
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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