Nart Cherkessk vs Izberbash: result 5-0 and analysis
Second League - Group 1Group 1 - 2Kick-off on April 4, 2026 at 11:00 AM (UTC)Stadion Nart, Cherkessk
Full time
What was the result of Nart Cherkessk vs Izberbash?
Nart Cherkessk won 5-0 on April 4, 2026.
Goalscorers
- 57′A. OlenevNart Cherkessk (pen.)
- 74′A. OlenevNart Cherkessk
- 76′A. OlenevNart Cherkessk
- 84′R. MashezovNart Cherkessk
- 87′R. MashezovNart Cherkessk
What is the recent form of both teams?
Over their last 15 matches in all competitions, Nart Cherkessk have 9 wins, 2 draws and 4 defeats; Izberbash have 1, 0 and 0.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 29, 2026 | Dynamo Makhachkala II(away) | 0-1 | Second League - Group 1 |
| Nov 22, 2025 | Dinamo Stavropol(home) | 0-1 | Second League - Group 1 |
| Nov 15, 2025 | Sevastopol(away) | 1-1 | Second League - Group 1 |
| Nov 8, 2025 | Rostov II(away) | 1-0 | Second League - Group 1 |
| Nov 2, 2025 | Kuban Kholding(home) | 1-0 | Second League - Group 1 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Mar 28, 2026 | Druzhba(home) | 2-1 | Second League - Group 1 |
How many goals should we expect?
Nart Cherkessk score 1.3 and concede 0.7 goals per match over their last 15; Izberbash score 2.0 and concede 1.0.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nart Cherkessk | 1.3 | 0.7 | 6 | 6/15 | 6/15 |
| Izberbash | 2.0 | 1.0 | 0 | 1/1 | 1/1 |
Over the last 15 matches in all competitions.
Where do both teams sit in the table?
Nart Cherkessk sit 7th in Second League - Group 1 (28 points from 19 matches) and Izberbash sit 12th (18 points from 20 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nart Cherkessk | 19 | 8 | 4 | 7 | 24 | 16 | 28 |
| 12 | Izberbash | 20 | 6 | 0 | 14 | 18 | 54 | 18 |
How does Footlab 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. Its accuracy is measured continuously on the predictions actually published. Methodology and measured accuracy