Botafogo vs Parana: result 2-1 and analysis
Serie ARegular Season - 37Kick-off on November 26, 2018 at 10:00 PM (UTC)Estádio Nilton Santos, Rio de Janeiro
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What was the result of Botafogo vs Parana?
Botafogo won 2-1 on November 26, 2018.
Goalscorers
- 7′ErikBotafogo
- 64′Alex SantanaParana
- 75′ErikBotafogo
What is the recent form of both teams?
Over their last 15 matches in all competitions, Botafogo have 6 wins, 5 draws and 4 defeats; Parana have 1, 4 and 10.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 21, 2018 | Santos(away) | 1-1 | Serie A |
| Nov 18, 2018 | Internacional(home) | 1-0 | Serie A |
| Nov 15, 2018 | Chapecoense-sc(away) | 1-0 | Serie A |
| Nov 10, 2018 | Flamengo(home) | 2-1 | Serie A |
| Nov 4, 2018 | Corinthians(home) | 1-0 | Serie A |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 22, 2018 | Ceara(away) | 0-1 | Serie A |
| Nov 18, 2018 | Palmeiras(home) | 1-1 | Serie A |
| Nov 14, 2018 | Atletico-MG(home) | 0-1 | Serie A |
| Nov 10, 2018 | America Mineiro(away) | 1-0 | Serie A |
| Nov 4, 2018 | Vitoria(home) | 1-1 | Serie A |
What does the head-to-head say?
Across the last 3 meetings: 2 Botafogo win(s), 1 draw(s), 0 Parana win(s).
| Date | Score | Competition |
|---|---|---|
| Aug 12, 2018 | Parana 1-1 Botafogo | Serie A |
| Sep 8, 2015 | Botafogo 2-1 Parana | Serie B |
| Jun 3, 2015 | Parana 1-2 Botafogo | Serie B |
How many goals should we expect?
Botafogo score 1.1 and concede 1.1 goals per match over their last 15; Parana score 0.4 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Botafogo | 1.1 | 1.1 | 5 | 7/15 | 5/15 |
| Parana | 0.4 | 1.8 | 1 | 5/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Botafogo | 22 | 8 | 6 | 8 | 35 | 34 | 30 |
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