PSK Dinskaya vs Izberbash: result 2-1 and analysis
Second League - Group 1Group 1 - 4Kick-off on April 18, 2026 at 11:00 AM (UTC)
Full time
What was the result of PSK Dinskaya vs Izberbash?
PSK Dinskaya won 2-1 on April 18, 2026.
Goalscorers
- 54′543512PSK Dinskaya
- 70′656327Izberbash
- 89′N. TagievPSK Dinskaya
What is the recent form of both teams?
Over their last 8 matches in all competitions, PSK Dinskaya have 4 wins, 1 draw and 3 defeats; Izberbash have 1, 0 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 12, 2026 | Dynamo Makhachkala II(away) | 1-0 | Second League - Group 1 |
| Apr 4, 2026 | Lugansk(home) | 3-1 | Second League - Group 1 |
| Mar 28, 2026 | Rostov II(away) | 2-4 | Second League - Group 1 |
| Jan 18, 2026 | Chernomorets(away) | 0-3 | Friendlies Clubs |
| Sep 23, 2025 | Ural(home) | 1-2 | Cup |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2026 | Sevastopol(home) | 0-3 | Second League - Group 1 |
| Apr 4, 2026 | Nart Cherkessk(away) | 0-5 | Second League - Group 1 |
| Mar 28, 2026 | Druzhba(home) | 2-1 | Second League - Group 1 |
How many goals should we expect?
PSK Dinskaya score 1.5 and concede 1.6 goals per match over their last 8; Izberbash score 0.7 and concede 3.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| PSK Dinskaya | 1.5 | 1.6 | 1 | 6/8 | 6/8 |
| Izberbash | 0.7 | 3.0 | 0 | 1/3 | 3/3 |
Over the last 8 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 12 | Izberbash | 21 | 6 | 0 | 15 | 19 | 57 | 18 |
A question about PSK Dinskaya vs Izberbash?
Ask Footlab AI: lineups, absences, player form, stats, how the match could unfold.
Sign-in required. No odds displayed, no affiliation: the method is published and the accuracy is measured.
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