Himara vs Pogradeci: result 1-0 and analysis
1st DivisionRegular Season - 20Kick-off on March 9, 2013 at 02:00 PM (UTC)Stadiumi Petro Ruci, Himarë
Full time
What was the result of Himara vs Pogradeci?
Himara won 1-0 on March 9, 2013.
Goalscorers
- 20′Armando GegaHimara
What is the recent form of both teams?
Over their last 15 matches in all competitions, Himara have 3 wins, 6 draws and 6 defeats; Pogradeci have 9, 2 and 4.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2013 | Iliria Fushë-Krujë(away) | 1-2 | 1st Division |
| Feb 23, 2013 | Dinamo Tirana(home) | 1-1 | 1st Division |
| Feb 16, 2013 | Burreli(away) | 0-1 | 1st Division |
| Feb 9, 2013 | Tërbuni Pukë(home) | 2-2 | 1st Division |
| Dec 8, 2012 | Elbasani(home) | 2-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 2, 2013 | Gramshi(home) | 5-1 | 1st Division |
| Feb 23, 2013 | Mamurrasi(away) | 3-4 | 1st Division |
| Feb 16, 2013 | Besëlidhja Lezhë(home) | 1-0 | 1st Division |
| Feb 9, 2013 | Iliria Fushë-Krujë(home) | 3-0 | 1st Division |
| Dec 8, 2012 | Dinamo Tirana(home) | 3-2 | 1st Division |
What does the head-to-head say?
In the last meeting: 0 Himara wins, 0 draws, 1 Pogradeci win.
| Date | Score | Competition |
|---|---|---|
| Sep 29, 2012 | Pogradeci 3-1 Himara | 1st Division |
How many goals should we expect?
Himara score 1.0 and concede 1.3 goals per match over their last 15; Pogradeci score 1.9 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Himara | 1.0 | 1.3 | 2 | 9/15 | 5/15 |
| Pogradeci | 1.9 | 1.2 | 4 | 9/15 | 9/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 2 | Pogradeci | 4 | 2 | 2 | 0 | 5 | 1 | 8 |
A question about Himara vs Pogradeci?
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