Rops vs MyPa: result 2-1 and analysis
VeikkausliigaRegular Season - 10Kick-off on May 29, 2013 at 03:30 PM (UTC)Rovaniemen Keskuskenttä, Rovaniemi
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What was the result of Rops vs MyPa?
Rops won 2-1 on May 29, 2013.
Goalscorers
- 27′Nicholas OtaruRops
- 70′Nicholas OtaruRops
- 86′Tuomas AhoMyPa
Official lineup for Rops vs MyPa
The starting elevens fielded at kick-off.
Rops
- 9Mika Lahtinen
- 11Aleksandr Kokko
- 27Niklas Tarvajärvi
- 4A. Okkonen
- 10Nicholas Otaru
- 16V. Saxman
- 55Víctor Samuel Turcios Pacheco
- 8Tuomo Könönen
- 21E. Mbachu
- 35F. Obilor
- 1Tomi Maanoja
MyPa
- 9Pekka Sihvola
- 11O. Williams
- 2Hassan Mila Sesay
- 8X. Gela
- 14D. Ramadingaye
- 15Jonathan Okafor
- 16Antti Koskinen
- 22E. Grönroos
- 18Tuomas Aho
- 19Nongotamba Dhutsa Nosh A Lody
- 12J. Pyhäranta
What is the recent form of both teams?
Over their last 15 matches in all competitions, Rops have 6 wins, 2 draws and 7 defeats; MyPa have 7, 4 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2013 | HJK Helsinki(away) | 0-2 | Veikkausliiga |
| May 23, 2013 | Inter Turku(home) | 1-0 | Veikkausliiga |
| May 20, 2013 | FC jazz(away) | 3-0 | Suomen Cup |
| May 17, 2013 | KuPS(away) | 0-1 | Veikkausliiga |
| May 12, 2013 | JJK(home) | 4-0 | Veikkausliiga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| May 26, 2013 | VPS(home) | 3-0 | Veikkausliiga |
| May 17, 2013 | Lahti(home) | 2-0 | Veikkausliiga |
| May 12, 2013 | Mariehamn(away) | 4-0 | Veikkausliiga |
| May 9, 2013 | FF Jaro(home) | 1-2 | Veikkausliiga |
| May 5, 2013 | Honka(home) | 1-0 | Veikkausliiga |
How many goals should we expect?
Rops score 1.5 and concede 1.4 goals per match over their last 15; MyPa score 1.4 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Rops | 1.5 | 1.4 | 6 | 5/15 | 7/15 |
| MyPa | 1.4 | 0.9 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
A question about Rops vs MyPa?
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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