Savannah vs Humble Lions: result 1-2 and analysis
Premier LeagueRegular Season - 6Kick-off on October 3, 2012 at 10:30 PM (UTC)Frome Sports Complex
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What was the result of Savannah vs Humble Lions?
Humble Lions won 1-2 on October 3, 2012.
Goalscorers
- 7′Shauntel MundleHumble Lions
- 15′J. ChristianHumble Lions
- 88′Jesse MaylorSavannah (pen.)
What is the recent form of both teams?
Over their last 5 matches in all competitions, Savannah have 3 wins, 1 draw and 1 defeat; Humble Lions have 6, 3 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2012 | Waterhouse(away) | 1-1 | Premier League |
| Sep 23, 2012 | Tivoli Gardens(home) | 0-1 | Premier League |
| Sep 16, 2012 | Cavalier(away) | 2-1 | Premier League |
| Sep 9, 2012 | Harbour View(home) | 1-0 | Premier League |
| Sep 3, 2012 | Portmore United(away) | 1-0 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Sep 30, 2012 | Tivoli Gardens(home) | 1-1 | Premier League |
| Sep 23, 2012 | Harbour View(away) | 0-1 | Premier League |
| Sep 16, 2012 | Montego Bay United(home) | 1-0 | Premier League |
| Sep 9, 2012 | Arnett Gardens(away) | 0-1 | Premier League |
| Sep 2, 2012 | Sporting Central(home) | 1-2 | Premier League |
How many goals should we expect?
Savannah score 1.0 and concede 0.6 goals per match over their last 5; Humble Lions score 0.8 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Savannah | 1.0 | 0.6 | 2 | 2/5 | 1/5 |
| Humble Lions | 0.8 | 0.9 | 6 | 4/15 | 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 | Humble Lions | 5 | 0 | 2 | 3 | 2 | 13 | 2 |
A question about Savannah vs Humble Lions?
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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