Conference League
Referee: D Sakhi
Retrospective analysis — the model is trained only on matches played before this one.
⚠️ One of the teams has played few league matches recently (e.g. newly promoted). The analysis is therefore more uncertain than usual, and we give no recommendations for this match.
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Who wins?
Pro
The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.
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Team trends
Celje
Neman
Last 6 — all competitions · 2/4 matches
Win Ø 50%
50%
50%
Points per game
1,5
2,0
Over 2.5 Ø 38%
50%
25%
Both score Ø 50%
50%
50%
Average goals
4,0
1,8
Scored
2,0
1,3
Conceded
2,0
0,5
Goal diff per game
+0,0
+0,8
This season — Conference League · 2/4 matches
Win Ø 50%
50%
50%
Points per game
1,5
2,0
Over 2.5 Ø 38%
50%
25%
Both score Ø 50%
50%
50%
Average goals
4,0
1,8
Scored
2,0
1,3
Conceded
2,0
0,5
Goal diff per game
+0,0
+0,8
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Goal markets
Pro
Expected goals, over/under and both teams to score — priced by the model before kick-off.
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Most likely result
Pro
The model's top final scores with the best bookmaker odds.
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Match stats
Half-time score: 0–0
60%
Possession
40%
14
Shots
11
6
Shots on target
5
3
Blocked shots
2
5
Goalkeeper saves
4
3
Corners
3
4
Offside
1
11
Free kicks against
10
1
Yellow cards
1
0
Red cards
0
Odds comparison
Green columns are the outcomes that came in.
The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.