Tarxien Rainbows vs Hibernians: result 1-2 and analysis
Premier LeagueMatchday 11Kick-off on November 5, 2016 at 01:00 PM (UTC)Tony Cassar Sports Ground, Tarxien
Full time
What was the result of Tarxien Rainbows vs Hibernians?
Hibernians won 1-2 on November 5, 2016.
Goalscorers
- 39′Jackson Lima SiqueiraHibernians
- 50′T. CaruanaTarxien Rainbows (pen.)
- 72′JorginhoHibernians
What is the recent form of both teams?
Over their last 10 matches in all competitions, Tarxien Rainbows have 2 wins, 4 draws and 4 defeats; Hibernians have 7, 2 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 29, 2016 | Balzan FC(home) | 2-2 | Premier League |
| Oct 22, 2016 | Valletta FC(away) | 0-1 | Premier League |
| Oct 15, 2016 | Mosta(home) | 1-1 | Premier League |
| Oct 1, 2016 | Pembroke Athleta(away) | 2-2 | Premier League |
| Sep 25, 2016 | Sliema Wanderers(away) | 1-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 30, 2016 | Birkirkara(away) | 1-0 | Premier League |
| Oct 23, 2016 | St. Andrews(home) | 1-0 | Premier League |
| Oct 15, 2016 | Floriana(away) | 0-0 | Premier League |
| Sep 30, 2016 | Gzira United(home) | 1-1 | Premier League |
| Sep 25, 2016 | Valletta FC(away) | 2-0 | Premier League |
How many goals should we expect?
Tarxien Rainbows score 1.0 and concede 1.5 goals per match over their last 10; Hibernians score 1.0 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tarxien Rainbows | 1.0 | 1.5 | 1 | 6/10 | 5/10 |
| Hibernians | 1.0 | 1.7 | 5 | 6/15 | 8/15 |
Over the last 10 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 4 | Hibernians | 12 | 5 | 4 | 3 | 15 | 15 | 19 |
A question about Tarxien Rainbows vs Hibernians?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
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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