Nart Cherkessk vs Lugansk: result 0-0 and analysis
Second League - Group 1Group 1 - 4Kick-off on April 18, 2026 at 01:00 PM (UTC)Stadion Nart, Cherkessk
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What was the result of Nart Cherkessk vs Lugansk?
Nart Cherkessk and Lugansk drew 0-0 on April 18, 2026.
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; Lugansk have 0, 1 and 2.
The competition is shown for every match: in pre-season, several of these games are friendlies.
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2026 | Rostov II(away) | 1-0 | Second League - Group 1 |
| Apr 4, 2026 | Izberbash(home) | 5-0 | Second League - Group 1 |
| 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 |
| Date | Opponent | Score | Competition |
|---|---|---|---|
| Apr 11, 2026 | Druzhba(home) | 1-1 | Second League - Group 1 |
| Apr 4, 2026 | PSK Dinskaya(away) | 1-3 | Second League - Group 1 |
| Mar 28, 2026 | Sevastopol(home) | 1-4 | Second League - Group 1 |
How many goals should we expect?
Nart Cherkessk score 1.4 and concede 0.7 goals per match over their last 15; Lugansk score 1.0 and concede 2.7.
| Club | Goals scored / match | Goals conceded / match | Clean sheets | Both teams scored | Over 2.5 goals |
|---|---|---|---|---|---|
| Nart Cherkessk | 1.4 | 0.7 | 6 | 6/15 | 6/15 |
| Lugansk | 1.0 | 2.7 | 0 | 3/3 | 2/3 |
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 (30 points from 20 matches) and Lugansk sit 10th (24 points from 21 matches).
| # | Club | P | W | D | L | GF | GA | Pts |
|---|---|---|---|---|---|---|---|---|
| 7 | Nart Cherkessk | 20 | 9 | 3 | 8 | 27 | 19 | 30 |
| 10 | Lugansk | 21 | 6 | 6 | 9 | 24 | 30 | 24 |
A question about Nart Cherkessk vs Lugansk?
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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