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Bundesliga
Referee: Deniz Aytekin
Hertha
T S T U U
2–1
Full-time
Leverkusen
S T U T S

Retrospective analysis — the model is trained only on matches played before this one.

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The model's probabilities for a home win, draw and away win — with reasoning and recommended markets.

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Team trends

Hertha Leverkusen
Last 6 — all competitions · 6/6 matches
Win Ø 33%
33%
33%
Points per game
1,3
1,3
Over 2.5 Ø 59%
17%
100%
Both score Ø 67%
50%
83%
Average goals
3,0
4,7
Scored
1,3
2,7
Conceded
1,7
2,0
Goal diff per game
-0,3
+0,7
This season — Bundesliga · 4/4 matches
Win Ø 25%
25%
25%
Points per game
1,3
1,0
Over 2.5 Ø 50%
0%
100%
Both score Ø 63%
50%
75%
Average goals
2,0
4,0
Scored
1,0
2,0
Conceded
1,0
2,0
Goal diff per game
+0,0
+0,0
🔒 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: 2–0

36% Possession 64%
5 Shots 12
3 Shots on target 5
0 Blocked shots 2
3 Goalkeeper saves 1
3 Corners 6
1 Offside 0
12 Free kicks against 24
1 Yellow cards 2
0 Red cards 0
The table before the match Hertha 12. · Leverkusen 14.
# Team K V U T +/− P
1 Bayern Munich 5 4 0 1 +9 12
2 Dortmund 4 3 1 0 +10 10
3 Augsburg 5 3 1 1 +4 10
4 Hannover 4 3 1 0 +4 10
5 Schalke 04 5 3 0 2 +1 9
6 Hoffenheim 4 2 2 0 +3 8
7 M'gladbach 5 2 2 1 +2 8
8 RB Leipzig 5 2 1 2 +2 7
9 Ein Frankfurt 5 2 1 2 +0 7
10 Hamburg 4 2 0 2 -1 6
11 Stuttgart 5 2 0 3 -4 6
12 Hertha 4 1 2 1 +0 5
13 Wolfsburg 5 1 2 2 -3 5
14 Leverkusen 4 1 1 2 +0 4
15 Mainz 4 1 0 3 -4 3
16 Werder Bremen 5 0 2 3 -4 2
17 Freiburg 4 0 2 2 -7 2
18 FC Koln 5 0 0 5 -12 0

Calculated from our results data. “xG +/−” is expected goal difference — a positive number with a low league position suggests an undervalued team. Ties on points are sorted by goal difference; some leagues use other rules.

The analysis is a statistical estimate based on the teams' results and underlying performances (xG) — not a guarantee. See the model's results.