Dukagjini vs Ulpiana: result 1-1 and analysis
SuperligaRegular Season - 15Kick-off on November 23, 2021 at 12:00 PM (UTC)Stadiumi 18 Qershori, Klinë
Full time
What was the result of Dukagjini vs Ulpiana?
Dukagjini and Ulpiana drew 1-1 on November 23, 2021.
Goalscorers
- 55′E. ReziUlpiana
- 81′A. MerlakuDukagjini
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dukagjini have 3 wins, 7 draws and 5 defeats; Ulpiana have 4, 5 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 19, 2021 | Prishtina(away) | 0-0 | Superliga |
| Nov 7, 2021 | Feronikeli(home) | 1-0 | Superliga |
| Oct 30, 2021 | Gjilani(home) | 1-1 | Superliga |
| Oct 24, 2021 | Drenica Skënderaj(away) | 0-2 | Superliga |
| Oct 20, 2021 | Ballkani(home) | 0-0 | Superliga |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 20, 2021 | Gjilani(home) | 1-2 | Superliga |
| Nov 6, 2021 | Drenica Skënderaj(away) | 1-0 | Superliga |
| Oct 31, 2021 | Ballkani(home) | 2-1 | Superliga |
| Oct 23, 2021 | Malisheva(away) | 2-1 | Superliga |
| Oct 19, 2021 | Llapi(home) | 0-6 | Superliga |
What does the head-to-head say?
In the last meeting: 0 Dukagjini wins, 1 draw, 0 Ulpiana wins.
| Date | Score | Competition |
|---|---|---|
| Sep 25, 2021 | Ulpiana 0-0 Dukagjini | Superliga |
How many goals should we expect?
Dukagjini score 0.7 and concede 0.9 goals per match over their last 15; Ulpiana score 1.1 and concede 1.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dukagjini | 0.7 | 0.9 | 6 | 6/15 | 4/15 |
| Ulpiana | 1.1 | 1.7 | 2 | 10/15 | 8/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 5 | Dukagjini | 8 | 3 | 4 | 1 | 8 | 5 | 13 |
A question about Dukagjini vs Ulpiana?
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