Bolivia vs Peru: result 2-0 and analysis
World Cup - Qualification South AmericaRegular Season - 7Kick-off on September 1, 2016 at 08:00 PM (UTC)Estadio Municipal El Alto, El Alto
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What was the result of Bolivia vs Peru?
Bolivia won 2-0 on September 1, 2016.
Goalscorers
- 38′P. EscobarBolivia
- 88′R. RaldesBolivia
What is the recent form of both teams?
Over their last 13 matches in all competitions, Bolivia have 2 wins, 1 draws and 10 defeats; Peru have 6, 4 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 15, 2016 | Argentina(away) | 0-3 | Copa America |
| Jun 10, 2016 | Chile(away) | 1-2 | Copa America |
| Jun 6, 2016 | Panama(away) | 1-2 | Copa America |
| Mar 30, 2016 | Argentina(away) | 0-2 | World Cup - Qualification South America |
| Mar 24, 2016 | Colombia(home) | 2-3 | World Cup - Qualification South America |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 18, 2016 | Colombia(home) | 0-0 | Copa America |
| Jun 13, 2016 | Brazil(away) | 1-0 | Copa America |
| Jun 9, 2016 | Ecuador(away) | 2-2 | Copa America |
| Jun 4, 2016 | Haiti(away) | 1-0 | Copa America |
| Mar 30, 2016 | Uruguay(away) | 0-1 | World Cup - Qualification South America |
What does the head-to-head say?
Across the last 1 meetings: 0 Bolivia win(s), 0 draw(s), 1 Peru win(s).
| Date | Score | Competition |
|---|---|---|
| Jun 25, 2015 | Bolivia 1-3 Peru | Copa America |
How many goals should we expect?
Bolivia score 1.0 and concede 2.3 goals per match over their last 13; Peru score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Bolivia | 1.0 | 2.3 | 1 | 7/13 | 9/13 |
| Peru | 1.1 | 1.1 | 7 | 5/15 | 6/15 |
Over the last 13 matches in all competitions.
Where do both teams sit in the table?
Bolivia sit 7th in World Cup - Qualification South America (20 points from 18 matches) and Peru sit 9th (12 points from 18 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Bolivia | 18 | 6 | 2 | 10 | 17 | 35 | 20 |
| 9 | Peru | 18 | 2 | 6 | 10 | 6 | 21 | 12 |
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