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Bundesliga
Referee: Benjamin Brand
Mainz
S S T S S
0–0
Full-time
Darmstadt
S T T U T

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

Mainz Darmstadt
Last 6 — all competitions · 6/6 matches
Win Ø 50%
83%
17%
Points per game
2,5
0,7
Over 2.5 Ø 59%
67%
50%
Both score Ø 59%
67%
50%
Average goals
2,8
2,8
Scored
1,8
1,0
Conceded
1,0
1,8
Goal diff per game
+0,8
-0,8
This season — Bundesliga · 24/24 matches
Win Ø 38%
50%
25%
Points per game
1,6
1,0
Over 2.5 Ø 54%
58%
50%
Both score Ø 50%
50%
50%
Average goals
2,7
2,6
Scored
1,4
1,0
Conceded
1,3
1,6
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

62% Possession 38%
11 Shots 15
4 Shots on target 3
2 Blocked shots 3
3 Goalkeeper saves 4
3 Corners 1
3 Offside 4
0 Free kicks against 0
0 Yellow cards 5
1 Red cards 0
The table before the match Mainz 6. · Darmstadt 15.
# Team K V U T +/− P
1 Bayern Munich 25 20 3 2 +46 63
2 Dortmund 25 18 4 3 +34 58
3 Hertha 24 12 6 6 +9 42
4 Schalke 04 25 12 5 8 +5 41
5 M'gladbach 25 12 3 10 +8 39
6 Mainz 24 12 3 9 +4 39
7 Wolfsburg 25 10 7 8 +6 37
8 Leverkusen 25 10 6 9 +3 36
9 FC Ingolstadt 04 25 8 8 9 -7 32
10 Stuttgart 25 9 4 12 -9 31
11 FC Koln 25 7 9 9 -7 30
12 Hamburg 24 7 7 10 -6 28
13 Werder Bremen 25 7 6 12 -13 27
14 Augsburg 25 6 8 11 -8 26
15 Darmstadt 24 6 7 11 -13 25
16 Ein Frankfurt 25 5 9 11 -12 24
17 Hoffenheim 25 4 9 12 -16 21
18 Hannover 25 5 2 18 -24 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

2. Oct -15 Darmstadt – Mainz 2–3

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