Sao Jose vs Tombense: result 2-0 and analysis
Serie CRegular Season - 10Kick-off on June 29, 2019 at 06:00 PM (UTC)Estádio Francisco Novelletto Neto, Porto Alegre, Rio Grande do Sul
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What was the result of Sao Jose vs Tombense?
Sao Jose won 2-0 on June 29, 2019.
Goalscorers
- 28′Rafael TavaresSao Jose
- 63′Luiz Eduardo Azevedo Dantas OliveiraSao Jose
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sao Jose have 6 wins, 6 draws and 3 defeats; Tombense have 6, 5 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 23, 2019 | Volta Redonda(away) | 2-2 | Serie C |
| Jun 13, 2019 | Remo(home) | 1-0 | Serie C |
| Jun 8, 2019 | BOA(home) | 2-0 | Serie C |
| Jun 2, 2019 | Paysandu(away) | 1-1 | Serie C |
| May 25, 2019 | Juventude(home) | 1-1 | Serie C |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 22, 2019 | BOA(home) | 3-1 | Serie C |
| Jun 16, 2019 | Atlético Acreano(away) | 1-2 | Serie C |
| Jun 8, 2019 | Juventude(home) | 1-0 | Serie C |
| Jun 3, 2019 | Remo(home) | 2-2 | Serie C |
| May 26, 2019 | Ypiranga-RS(away) | 1-0 | Serie C |
What does the head-to-head say?
Across the last 1 meetings: 0 Sao Jose win(s), 1 draw(s), 0 Tombense win(s).
| Date | Score | Competition |
|---|---|---|
| Apr 27, 2019 | Tombense 1-1 Sao Jose | Serie C |
How many goals should we expect?
Sao Jose score 1.3 and concede 0.9 goals per match over their last 15; Tombense score 1.3 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sao Jose | 1.3 | 0.9 | 6 | 7/15 | 4/15 |
| Tombense | 1.3 | 0.9 | 6 | 7/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 20 | Tombense | 19 | 2 | 8 | 9 | 14 | 23 | 14 |
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