Gudja United vs Tarxien Rainbows: result 3-2 and analysis
Premier LeagueRegular Season - 10Kick-off on November 9, 2019 at 01:00 PM (UTC)MFA Centenary Stadium, Ta'Qali
Full time
What was the result of Gudja United vs Tarxien Rainbows?
Gudja United won 3-2 on November 9, 2019.
Goalscorers
- 1′Rundell WinchesterGudja United
- 26′A. AndrejićTarxien Rainbows
- 51′A. AndrejićTarxien Rainbows
- 75′D. ZerafaGudja United (o.g.)
- 90′M. PérezGudja United
What is the recent form of both teams?
Over their last 15 matches in all competitions, Gudja United have 4 wins, 5 draws and 6 defeats; Tarxien Rainbows have 2, 1 and 12.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 4, 2019 | Birkirkara(away) | 3-2 | Premier League |
| Oct 26, 2019 | Gzira United(away) | 1-6 | Premier League |
| Oct 20, 2019 | Valletta FC(home) | 0-1 | Premier League |
| Oct 5, 2019 | Balzan FC(away) | 0-1 | Premier League |
| Sep 28, 2019 | Floriana(home) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 1, 2019 | Gzira United(home) | 0-5 | Premier League |
| Oct 26, 2019 | Valletta FC(away) | 1-3 | Premier League |
| Oct 20, 2019 | Balzan FC(home) | 1-3 | Premier League |
| Oct 6, 2019 | Floriana(away) | 1-2 | Premier League |
| Sep 27, 2019 | Sliema Wanderers(home) | 1-2 | Premier League |
How many goals should we expect?
Gudja United score 1.4 and concede 1.8 goals per match over their last 15; Tarxien Rainbows score 0.9 and concede 2.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Gudja United | 1.4 | 1.8 | 0 | 12/15 | 9/15 |
| Tarxien Rainbows | 0.9 | 2.5 | 1 | 9/15 | 12/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 3 | Tarxien Rainbows | 17 | 4 | 7 | 7 | 22 | 31 | 18 |
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