Borec vs Sasa: result 3-0 and analysis
Second LeagueEast - 11Kick-off on November 4, 2017 at 12:30 PM (UTC)Stadion Zoran Paunov, Veles
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What was the result of Borec vs Sasa?
Borec won 3-0 on November 4, 2017.
What is the recent form of both teams?
Over their last 10 matches in all competitions, Borec have 4 wins, 5 draws and 1 defeat; Sasa have 3, 2 and 5.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Pobeda Valandovo(home) | 2-2 | Second League |
| Oct 21, 2017 | Turnovo(home) | 3-0 | Second League |
| Oct 14, 2017 | Osogovo(away) | 2-1 | Second League |
| Oct 7, 2017 | Belasica(home) | 0-0 | Second League |
| Sep 30, 2017 | Plačkovica(away) | 0-1 | Second League |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Oct 28, 2017 | Plačkovica(home) | 4-1 | Second League |
| Oct 21, 2017 | Pobeda Valandovo(away) | 1-1 | Second League |
| Oct 14, 2017 | Tikveš(home) | 2-0 | Second League |
| Oct 7, 2017 | Turnovo(away) | 3-0 | Second League |
| Oct 1, 2017 | Kozuv Gevgelija(home) | 1-3 | Second League |
What does the head-to-head say?
In the last meeting: 1 Borec win, 0 draws, 0 Sasa wins.
| Date | Score | Competition |
|---|---|---|
| Sep 9, 2017 | Sasa 0-1 Borec | Second League |
How many goals should we expect?
Borec score 1.0 and concede 0.5 goals per match over their last 10; Sasa score 1.4 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Borec | 1.0 | 0.5 | 6 | 3/10 | 3/10 |
| Sasa | 1.4 | 1.6 | 2 | 5/10 | 6/10 |
Over the last 10 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 Borec 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