PSK Dinskaya vs Angust Nazran: prediction and stats
Second League - Group 1Group 1 - 21Kick-off on August 29, 2026 at 01:00 PM (UTC)
What is the recent form of both teams?
Over their last 15 matches in all competitions, PSK Dinskaya have 6 wins, 2 draws and 7 defeats; Angust Nazran have 1, 5 and 9.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Jun 13, 2026 | Astrakhan(home) | 1-4 | Second League - Group 1 |
| Jun 6, 2026 | Druzhba(away) | 0-4 | Second League - Group 1 |
| May 30, 2026 | Nart Cherkessk(home) | 0-0 | Second League - Group 1 |
| May 23, 2026 | Rubin Yalta(home) | 3-1 | Second League - Group 1 |
| May 16, 2026 | Sevastopol(away) | 2-2 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Aug 22, 2026 | Sevastopol(home) | 0-1 | Second League - Group 1 |
| Aug 15, 2026 | Rostov II(away) | 0-0 | Second League - Group 1 |
| Aug 12, 2026 | Druzhba(home) | 0-0 | Cup |
| Aug 8, 2026 | Lugansk(home) | 0-0 | Second League - Group 1 |
| Aug 1, 2026 | Rubin Yalta(away) | 2-3 | Second League - Group 1 |
How many goals should we expect?
PSK Dinskaya score 1.4 and concede 1.8 goals per match over their last 15; Angust Nazran score 0.4 and concede 1.2.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSK Dinskaya | 1.4 | 1.8 | 3 | 9/15 | 12/15 |
| Angust Nazran | 0.4 | 1.2 | 6 | 3/15 | 4/15 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 13 | Angust Nazran | 20 | 4 | 4 | 12 | 9 | 21 | 16 |
A question about PSK Dinskaya vs Angust Nazran?
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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