Drezga vs Igalo: result 1-1 and analysis
Second LeagueRegular Season - 21Kick-off on March 13, 2021 at 01:30 PM (UTC)Stadion Drezge, Piperi
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What was the result of Drezga vs Igalo?
Drezga and Igalo drew 1-1 on March 13, 2021.
Goalscorers
- 12′?Igalo (pen.)
- 55′?Drezga
What is the recent form of both teams?
Over their last 15 matches in all competitions, Drezga have 2 wins, 4 draws and 9 defeats; Igalo have 8, 4 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2021 | Arsenal Tivat(away) | 0-0 | Second League |
| Dec 5, 2020 | Kom(home) | 1-3 | Second League |
| Nov 29, 2020 | Grbalj(home) | 0-2 | Second League |
| Nov 22, 2020 | Berane(away) | 1-1 | Second League |
| Nov 15, 2020 | Bokelj(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 7, 2021 | Ibar(home) | 1-0 | Second League |
| Dec 3, 2020 | Jedinstvo(home) | 2-0 | Second League |
| Nov 29, 2020 | Arsenal Tivat(home) | 2-0 | Second League |
| Nov 22, 2020 | Kom(away) | 2-0 | Second League |
| Nov 15, 2020 | Grbalj(home) | 0-2 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 0 Drezga wins, 1 draw, 1 Igalo win.
| Date | Score | Competition |
|---|---|---|
| Oct 25, 2020 | Igalo 2-0 Drezga | Second League |
| Sep 6, 2020 | Drezga 0-0 Igalo | Second League |
How many goals should we expect?
Drezga score 0.8 and concede 1.7 goals per match over their last 15; Igalo score 1.1 and concede 0.5.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Drezga | 0.8 | 1.7 | 3 | 6/15 | 6/15 |
| Igalo | 1.1 | 0.5 | 9 | 3/15 | 2/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 9 | Igalo | 36 | 8 | 8 | 20 | 21 | 58 | 32 |
A question about Drezga vs Igalo?
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