FK Chayka 2 vs PSK Dinskaya: result 0-3 and analysis
Second League - Group 1Group 1 - 5Kick-off on April 25, 2026 at 12:00 PM (UTC)
Full time
What was the result of FK Chayka 2 vs PSK Dinskaya?
PSK Dinskaya won 0-3 on April 25, 2026.
Goalscorers
- 3′I. VorotnikovPSK Dinskaya
- 11′N. TagievPSK Dinskaya
- 58′569788PSK Dinskaya
What is the recent form of both teams?
Over their last 4 matches in all competitions, FK Chayka 2 have 0 wins, 1 draw and 3 defeats; PSK Dinskaya have 5, 1 and 3.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Angust Nazran(away) | 0-1 | Second League - Group 1 |
| Apr 11, 2026 | Spartak Nalchik(home) | 1-1 | Second League - Group 1 |
| Apr 4, 2026 | Kyzyltash(away) | 0-2 | Second League - Group 1 |
| Mar 28, 2026 | Rubin Yalta(home) | 0-1 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 18, 2026 | Izberbash(home) | 2-1 | Second League - Group 1 |
| 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 |
How many goals should we expect?
FK Chayka 2 score 0.3 and concede 1.3 goals per match over their last 4; PSK Dinskaya score 1.6 and concede 1.6.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| FK Chayka 2 | 0.3 | 1.3 | 0 | 1/4 | 0/4 |
| PSK Dinskaya | 1.6 | 1.6 | 1 | 7/9 | 7/9 |
Over the last 4 matches in all competitions.
Where do both teams sit in the table?
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 14 | FK Chayka 2 | 21 | 4 | 2 | 15 | 17 | 43 | 14 |
A question about FK Chayka 2 vs PSK Dinskaya?
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