UD Logroñés II vs Racing Santander II: result 1-2 and analysis
Segunda División RFEF - Group 2Group 2 - 13Kick-off on November 27, 2021 at 03:00 PM (UTC)Estadio Mundial 82, Logroño
Full time
What was the result of UD Logroñés II vs Racing Santander II?
Racing Santander II won 1-2 on November 27, 2021.
Goalscorers
- 45′G. BertinoUD Logroñés II (pen.)
- 88′Saúl GarcíaRacing Santander II
- 90′Neco CelorioRacing Santander II
What is the recent form of both teams?
Over their last 15 matches in all competitions, UD Logroñés II have 5 wins, 6 draws and 4 defeats; Racing Santander II have 4, 7 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Cayón(away) | 1-2 | Segunda División RFEF - Group 2 |
| Nov 13, 2021 | Peña Sport(home) | 1-1 | Segunda División RFEF - Group 2 |
| Nov 6, 2021 | Ardoi(away) | 2-2 | Segunda División RFEF - Group 2 |
| Oct 30, 2021 | Racing Rioja(home) | 0-0 | Segunda División RFEF - Group 2 |
| Oct 23, 2021 | Burgos Promesas(away) | 3-0 | Segunda División RFEF - Group 2 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2021 | Gernika(home) | 0-0 | Segunda División RFEF - Group 2 |
| Nov 13, 2021 | Osasuna II(away) | 1-1 | Segunda División RFEF - Group 2 |
| Nov 6, 2021 | Sestao River(home) | 1-2 | Segunda División RFEF - Group 2 |
| Oct 31, 2021 | Náxara(away) | 4-0 | Segunda División RFEF - Group 2 |
| Oct 24, 2021 | Cayón(away) | 1-1 | Segunda División RFEF - Group 2 |
How many goals should we expect?
UD Logroñés II score 1.7 and concede 1.2 goals per match over their last 15; Racing Santander II score 1.1 and concede 0.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| UD Logroñés II | 1.7 | 1.2 | 4 | 10/15 | 10/15 |
| Racing Santander II | 1.1 | 0.8 | 8 | 5/15 | 5/15 |
Over the last 15 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