Tema Youth vs Mighty Jets: result 2-2 and analysis
Premier LeagueRegular Season - 20Kick-off on March 21, 2012 at 03:00 PM (UTC)Tema Sports Stadium, Tema
Full time
What was the result of Tema Youth vs Mighty Jets?
Tema Youth and Mighty Jets drew 2-2 on March 21, 2012.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Tema Youth have 5 wins, 5 draws and 5 defeats; Mighty Jets have 3, 7 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 11, 2012 | Hearts of Oak(away) | 0-0 | Premier League |
| Feb 29, 2012 | Wassaman United(home) | 1-1 | Premier League |
| Feb 26, 2012 | New Edubiase(away) | 2-4 | Premier League |
| Feb 19, 2012 | Ebusua Dwarfs(home) | 0-3 | Premier League |
| Jan 15, 2012 | Ebusua Dwarfs(away) | 0-2 | Premier League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 10, 2012 | Ashanti Gold(home) | 0-1 | Premier League |
| Mar 1, 2012 | Bechem United(away) | 1-1 | Premier League |
| Feb 27, 2012 | Heart of Lions(home) | 1-1 | Premier League |
| Feb 19, 2012 | Berekum Arsenal(away) | 0-0 | Premier League |
| Jan 14, 2012 | Berekum Arsenal(home) | 2-0 | Premier League |
What does the head-to-head say?
In the last meeting: 0 Tema Youth wins, 1 draw, 0 Mighty Jets wins.
| Date | Score | Competition |
|---|---|---|
| Dec 10, 2011 | Mighty Jets 2-2 Tema Youth | Premier League |
Last archived meeting: Mighty Jets vs Tema Youth on Dec 10, 2011
How many goals should we expect?
Tema Youth score 1.3 and concede 1.3 goals per match over their last 15; Mighty Jets score 0.7 and concede 0.9.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Tema Youth | 1.3 | 1.3 | 4 | 8/15 | 8/15 |
| Mighty Jets | 0.7 | 0.9 | 6 | 4/15 | 4/15 |
Over the last 15 matches in all competitions.
A question about Tema Youth vs Mighty Jets?
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