Internacional de Madrid vs Rayo Majadahonda: result 1-2 and analysis
Primera División RFEF - Group 1Group 1 - 15Kick-off on December 1, 2019 at 11:00 AM (UTC)Campo de Fútbol Municipal de Boadilla del Monte, Boadilla del Monte
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What was the result of Internacional de Madrid vs Rayo Majadahonda?
Rayo Majadahonda won 1-2 on December 1, 2019.
Goalscorers
- 48′Marc CaballéRayo Majadahonda
- 57′Borja DíazRayo Majadahonda
- 66′RufoInternacional de Madrid
What is the recent form of both teams?
Over their last 14 matches in all competitions, Internacional de Madrid have 6 wins, 4 draws and 4 defeats; Rayo Majadahonda have 7, 5 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Atlético Madrid II(away) | 0-2 | Primera División RFEF - Group 1 |
| Nov 17, 2019 | Las Palmas II(home) | 6-0 | Primera División RFEF - Group 1 |
| Nov 10, 2019 | Real Oviedo II(away) | 0-0 | Primera División RFEF - Group 1 |
| Nov 3, 2019 | Langreo(home) | 3-0 | Primera División RFEF - Group 1 |
| Oct 27, 2019 | Atlético Baleares(away) | 1-4 | Primera División RFEF - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 24, 2019 | Las Palmas II(away) | 0-0 | Primera División RFEF - Group 1 |
| Nov 17, 2019 | Langreo(home) | 0-2 | Primera División RFEF - Group 1 |
| Nov 10, 2019 | Peña Deportiva(away) | 0-0 | Primera División RFEF - Group 1 |
| Nov 3, 2019 | Marino de Luanco(home) | 2-1 | Primera División RFEF - Group 1 |
| Oct 27, 2019 | Las Rozas(away) | 1-1 | Primera División RFEF - Group 1 |
How many goals should we expect?
Internacional de Madrid score 1.7 and concede 1.1 goals per match over their last 14; Rayo Majadahonda score 1.1 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Internacional de Madrid | 1.7 | 1.1 | 5 | 6/14 | 6/14 |
| Rayo Majadahonda | 1.1 | 0.9 | 7 | 6/15 | 5/15 |
Over the last 14 matches in all competitions.
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy