Sasa vs Ohrid: result 1-1 and analysis
Second LeagueRegular Season - 11Kick-off on November 4, 2023 at 12:00 PM (UTC)Gradski stadion, Makedonska Kamenica
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What was the result of Sasa vs Ohrid?
Sasa and Ohrid drew 1-1 on November 4, 2023.
What is the recent form of both teams?
Over their last 15 matches in all competitions, Sasa have 4 wins, 4 draws and 7 defeats; Ohrid have 8, 1 and 6.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2023 | Novaci(away) | 0-1 | Second League |
| Oct 21, 2023 | Belasica(home) | 2-4 | Second League |
| Oct 7, 2023 | Osogovo(away) | 1-1 | Second League |
| Sep 30, 2023 | Pobeda(home) | 2-1 | Second League |
| Sep 23, 2023 | Bashkimi Kumanovo(away) | 2-2 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2023 | Pelister(home) | 1-3 | Second League |
| Oct 25, 2023 | Shkupi 1927(away) | 0-4 | Cup |
| Oct 21, 2023 | Novaci(away) | 3-1 | Second League |
| Oct 8, 2023 | Aresimi(home) | 1-0 | Second League |
| Sep 30, 2023 | Belasica(away) | 1-0 | Second League |
What does the head-to-head say?
Across the last 2 meetings: 1 Sasa win, 0 draws, 1 Ohrid win.
| Date | Score | Competition |
|---|---|---|
| Apr 23, 2023 | Sasa 2-1 Ohrid | Second League |
| Oct 29, 2022 | Ohrid 1-0 Sasa | Second League |
How many goals should we expect?
Sasa score 1.3 and concede 1.9 goals per match over their last 15; Ohrid score 1.3 and concede 1.3.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Sasa | 1.3 | 1.9 | 1 | 11/15 | 11/15 |
| Ohrid | 1.3 | 1.3 | 8 | 4/15 | 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 |
|---|---|---|---|---|---|---|---|---|
| 1 | Ohrid | 6 | 5 | 0 | 1 | 14 | 4 | 15 |
A question about Sasa vs Ohrid?
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