Oriku vs Lushnja: result 1-1 and analysis
1st DivisionPromotion Round - 3Kick-off on March 30, 2019 at 02:00 PM (UTC)Fusha Sportive Orikum, Orikum
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What was the result of Oriku vs Lushnja?
Oriku and Lushnja drew 1-1 on March 30, 2019.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Oriku have 5 wins, 5 draws and 5 defeats; Lushnja have 6, 2 and 7.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2019 | Bylis(away) | 1-2 | 1st Division |
| Feb 23, 2019 | Bylis(home) | 0-1 | 1st Division |
| Feb 16, 2019 | Apolonia Fier(away) | 1-0 | 1st Division |
| Feb 9, 2019 | Turbina Cërrik(home) | 3-2 | 1st Division |
| Feb 3, 2019 | Egnatia Rrogozhinë(away) | 1-0 | 1st Division |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 16, 2019 | Besa Kavajë(away) | 1-3 | 1st Division |
| Mar 3, 2019 | Bylis(home) | 0-2 | 1st Division |
| Feb 23, 2019 | Pogradeci(away) | 0-1 | 1st Division |
| Feb 17, 2019 | Besa Kavajë(home) | 2-0 | 1st Division |
| Feb 9, 2019 | Elbasani(home) | 3-1 | 1st Division |
What does the head-to-head say?
Across the last 2 meetings: 0 Oriku wins, 0 draws, 2 Lushnja wins.
| Date | Score | Competition |
|---|---|---|
| Dec 1, 2018 | Oriku 1-3 Lushnja | 1st Division |
| Sep 15, 2018 | Lushnja 1-0 Oriku | 1st Division |
How many goals should we expect?
Oriku score 0.9 and concede 0.9 goals per match over their last 15; Lushnja score 1.1 and concede 1.1.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Oriku | 0.9 | 0.9 | 7 | 6/15 | 5/15 |
| Lushnja | 1.1 | 1.1 | 4 | 5/15 | 6/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Oriku | 4 | 0 | 0 | 4 | 1 | 9 | 0 |
A question about Oriku vs Lushnja?
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