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Bundesliga
Referee: Markus Schmidt
Wolfsburg
U T S S T
1–1
Full-time
Darmstadt
T U T U U

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

Wolfsburg Darmstadt
Last 6 — all competitions · 6/6 matches
Win Ø 25%
50%
0%
Points per game
1,7
0,5
Over 2.5 Ø 50%
33%
67%
Both score Ø 50%
33%
67%
Average goals
2,3
2,8
Scored
1,5
1,0
Conceded
0,8
1,8
Goal diff per game
+0,7
-0,8
This season — Bundesliga · 26/26 matches
Win Ø 31%
38%
23%
Points per game
1,4
1,0
Over 2.5 Ø 48%
46%
50%
Both score Ø 50%
50%
50%
Average goals
2,7
2,6
Scored
1,5
1,0
Conceded
1,3
1,5
Goal diff per game
+0,2
-0,5
🔒 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

76% Possession 24%
19 Shots 11
5 Shots on target 1
2 Blocked shots 4
0 Goalkeeper saves 4
8 Corners 1
2 Offside 3
0 Free kicks against 0
1 Yellow cards 1
0 Red cards 0
The table before the match Wolfsburg 8. · Darmstadt 14.
# Team K V U T +/− P
1 Bayern Munich 26 21 3 2 +51 66
2 Dortmund 26 19 4 3 +36 61
3 Hertha 26 13 6 7 +9 45
4 Schalke 04 27 13 5 9 +4 44
5 M'gladbach 27 13 3 11 +10 42
6 Mainz 26 12 4 10 +2 40
7 Leverkusen 26 11 6 9 +4 39
8 Wolfsburg 26 10 7 9 +5 37
9 FC Koln 26 8 9 9 -5 33
10 FC Ingolstadt 04 26 8 9 9 -7 33
11 Stuttgart 26 9 5 12 -9 32
12 Hamburg 26 8 7 11 -5 31
13 Augsburg 26 6 9 11 -8 27
14 Darmstadt 26 6 9 11 -13 27
15 Werder Bremen 26 7 6 13 -18 27
16 Ein Frankfurt 26 5 9 12 -15 24
17 Hoffenheim 26 5 9 12 -15 24
18 Hannover 26 5 2 19 -26 17

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.

Recent head-to-head meetings

24. Oct -15 Darmstadt – Wolfsburg 0–1

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