Match

Izberbash vs PSK Dinskaya: prediction and stats

Second League - Group 1Group 1 - 27Kick-off on October 10, 2026 at 01:00 PM (UTC)

IzberbashPSK Dinskaya

Match cancelled

What is the recent form of both teams?

Over their last 15 matches in all competitions, Izberbash have 3 wins, 2 draws and 10 defeats; PSK Dinskaya have 6, 2 and 7.

The competition is shown for every match: in pre-season, several of these games are friendlies.

Izberbash
DateOpponentScoreCompetition
Oct 3, 2026Druzhba(away)0-4Second League - Group 1
Sep 26, 2026Nart Cherkessk(home)1-1Second League - Group 1
Sep 19, 2026Astrakhan(home)0-0Second League - Group 1
Sep 13, 2026Dynamo Makhachkala II(away)1-0Second League - Group 1
Sep 5, 2026Pobeda(home)1-2Second League - Group 1
PSK Dinskaya
DateOpponentScoreCompetition
Jun 13, 2026Astrakhan(home)1-4Second League - Group 1
Jun 6, 2026Druzhba(away)0-4Second League - Group 1
May 30, 2026Nart Cherkessk(home)0-0Second League - Group 1
May 23, 2026Rubin Yalta(home)3-1Second League - Group 1
May 16, 2026Sevastopol(away)2-2Second League - Group 1

What does the head-to-head say?

In the last meeting: 0 Izberbash wins, 0 draws, 1 PSK Dinskaya win.

DateScoreCompetition
Apr 18, 2026PSK Dinskaya 2-1 IzberbashSecond League - Group 1

Last archived meeting: PSK Dinskaya vs Izberbash on Apr 18, 2026

How many goals should we expect?

Izberbash score 1.0 and concede 2.3 goals per match over their last 15; PSK Dinskaya score 1.4 and concede 1.8.

ClubGoals scored / matchGoals conceded / matchClean sheetsBoth teams scoredOver 2.5 goals
Izberbash1.02.329/1511/15
PSK Dinskaya1.41.839/1512/15

Over the last 15 matches in all competitions.

Where do both teams sit in the table?

2026 standings
#ClubPWDLGFGAPts
12Izberbash216015195718

A question about Izberbash vs PSK Dinskaya?

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

Other matches in the same round

Next match: Izberbash and PSK Dinskaya

Ready to know everything about football?