Dekani vs Krka: result 1-1 and analysis
Friendlies ClubsClub Friendlies 4Kick-off on February 23, 2024 at 03:00 PM (UTC)Igrišče Ivan Gregorič, Dekani
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What was the result of Dekani vs Krka?
Dekani and Krka drew 1-1 on February 23, 2024.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Dekani have 5 wins, 4 draws and 6 defeats; Krka have 4, 3 and 8.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Feb 6, 2024 | Mladost Novi Sad(away) | 0-1 | Friendlies Clubs |
| Nov 19, 2023 | Bistrica(away) | 0-1 | 2. SNL |
| Nov 11, 2023 | Krka(home) | 3-2 | 2. SNL |
| Nov 4, 2023 | Dravinja(away) | 1-0 | 2. SNL |
| Oct 28, 2023 | Triglav(home) | 3-1 | 2. SNL |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Nov 17, 2023 | Dravinja(home) | 2-1 | 2. SNL |
| Nov 11, 2023 | Dekani(away) | 2-3 | 2. SNL |
| Nov 5, 2023 | Nafta(home) | 1-2 | 2. SNL |
| Oct 29, 2023 | Rudar(home) | 4-5 | 2. SNL |
| Oct 25, 2023 | Dravinja(away) | 0-3 | 2. SNL |
What does the head-to-head say?
Across the last 6 meetings: 2 Dekani wins, 2 draws, 2 Krka wins.
| Date | Score | Competition |
|---|---|---|
| Nov 11, 2023 | Dekani 3-2 Krka | 2. SNL |
| Aug 29, 2023 | Krka 0-1 Dekani | 2. SNL |
| Mar 26, 2023 | Dekani 1-1 Krka | 2. SNL |
| Sep 9, 2022 | Krka 1-0 Dekani | 2. SNL |
| Apr 24, 2022 | Dekani 0-0 Krka | 2. SNL |
| Dec 4, 2021 | Krka 2-0 Dekani | 2. SNL |
How many goals should we expect?
Dekani score 1.4 and concede 1.7 goals per match over their last 15; Krka score 1.5 and concede 1.8.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Dekani | 1.4 | 1.7 | 1 | 10/15 | 9/15 |
| Krka | 1.5 | 1.8 | 3 | 10/15 | 9/15 |
Over the last 15 matches in all competitions.
A question about Dekani vs Krka?
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
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