Karaorman vs Sasa: result 1-2 and analysis
Second LeagueRegular Season - 28Kick-off on May 6, 2023 at 03:00 PM (UTC)Gradska Plaža Stadium, Struga
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What was the result of Karaorman vs Sasa?
Sasa won 1-2 on May 6, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Karaorman have 4 wins, 2 draws and 9 defeats; Sasa have 3, 3 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2023 | Pehchevo(away) | 0-3 | Second League |
| Apr 26, 2023 | Pelister(away) | 0-2 | Second League |
| Apr 23, 2023 | Borec(home) | 4-0 | Second League |
| Apr 15, 2023 | Detonit Plachkovica(away) | 0-0 | Second League |
| Apr 8, 2023 | Ohrid(home) | 1-0 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 29, 2023 | Borec(home) | 4-1 | Second League |
| Apr 26, 2023 | Detonit Plachkovica(away) | 1-5 | Second League |
| Apr 23, 2023 | Ohrid(home) | 2-1 | Second League |
| Apr 15, 2023 | Aresimi(away) | 1-2 | Second League |
| Apr 8, 2023 | Kozuv Gevgelija(home) | 1-1 | Second League |
What does the head-to-head say?
In the last meeting: 0 Karaorman wins, 1 draw, 0 Sasa wins.
| Date | Score | Competition |
|---|---|---|
| Nov 26, 2022 | Sasa 2-2 Karaorman | Second League |
How many goals should we expect?
Karaorman score 0.8 and concede 1.8 goals per match over their last 15; Sasa score 0.9 and concede 2.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Karaorman | 0.8 | 1.8 | 6 | 4/15 | 6/15 |
| Sasa | 0.9 | 2.0 | 2 | 8/15 | 10/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 11 | Sasa | 30 | 9 | 9 | 12 | 47 | 53 | 36 |
A question about Karaorman vs Sasa?
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