San Cristóbal vs Reus: result 3-0 and analysis
Tercera División RFEF - Group 5Group 5 - 6Kick-off on September 28, 2019 at 10:00 AM (UTC)Estadio Panamericano, San Cristóbal
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What was the result of San Cristóbal vs Reus?
San Cristóbal won 3-0 on September 28, 2019.
What is the recent form of both teams?
Over their last 5 matches in all competitions, San Cristóbal have 1 win, 2 draws and 2 defeats; Reus have 0, 0 and 15.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 22, 2019 | Castelldefels(away) | 0-3 | Tercera División RFEF - Group 5 |
| Sep 15, 2019 | Horta(home) | 2-2 | Tercera División RFEF - Group 5 |
| Sep 11, 2019 | Santfeliuenc(away) | 1-1 | Tercera División RFEF - Group 5 |
| Sep 7, 2019 | Sants(home) | 2-1 | Tercera División RFEF - Group 5 |
| Sep 1, 2019 | Cerdanyola del Vallès(away) | 0-1 | Tercera División RFEF - Group 5 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 21, 2019 | Peralada(home) | 0-3 | Tercera División RFEF - Group 5 |
| Sep 14, 2019 | Igualada(away) | 0-3 | Tercera División RFEF - Group 5 |
| Sep 11, 2019 | Pobla Mafumet(home) | 0-3 | Tercera División RFEF - Group 5 |
| Sep 8, 2019 | Vilafranca(home) | 0-3 | Tercera División RFEF - Group 5 |
| Sep 1, 2019 | Castelldefels(away) | 0-3 | Tercera División RFEF - Group 5 |
How many goals should we expect?
San Cristóbal score 1.0 and concede 1.6 goals per match over their last 5; Reus score 0.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| San Cristóbal | 1.0 | 1.6 | 0 | 3/5 | 3/5 |
| Reus | 0.0 | 1.7 | 0 | 0/15 | 5/15 |
Over the last 5 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | San Cristóbal | 6 | 2 | 1 | 3 | 5 | 13 | 7 |
A question about San Cristóbal vs Reus?
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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