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2. Bundesliga
Referee: P Schwengers
2–3
Full-time

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

🔒 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

Preußen Münster Kaiserslautern
Last 6 — all competitions · 6/6 matches
Win Ø 17%
0%
33%
Points per game
0,7
1,2
Over 2.5 Ø 50%
17%
83%
Both score Ø 67%
67%
67%
Average goals
1,8
3,7
Scored
0,7
1,5
Conceded
1,2
2,2
Goal diff per game
-0,5
-0,7
xG created Pro
xG conceded Pro
xG diff Pro
This season — 2. Bundesliga · 22/22 matches
Win Ø 34%
23%
45%
Points per game
1,0
1,5
Over 2.5 Ø 57%
55%
59%
Both score Ø 66%
73%
59%
Average goals
2,6
3,0
Scored
1,1
1,6
Conceded
1,5
1,4
Goal diff per game
-0,3
+0,2
xG created Pro
xG conceded Pro
xG diff Pro
🔒 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: 1–3

1,57 xG 3,69
55% Possession 45%
20 Shots 17
8 Shots on target 7
7 Blocked shots 5
4 Goalkeeper saves 6
6 Corners 5
1 Offside 1
18 Free kicks against 13
3 Yellow cards 3
0 Red cards 0
The table before the match Preußen Münster 15. · Kaiserslautern 7.
# Team K V U T +/− xG +/− P
1 Schalke 04 23 14 4 5 +13 +8.9 46
2 Darmstadt 23 12 9 2 +19 +7.3 45
3 Elversberg 23 13 5 5 +17 +2.0 44
4 Hannover 22 12 5 5 +11 +11.2 41
5 Paderborn 22 12 4 6 +9 +8.7 40
6 Hertha 22 9 7 6 +7 -4.3 34
7 Kaiserslautern 22 10 4 8 +5 -0.9 34
8 Nurnberg 23 8 6 9 -2 +1.5 30
9 Karlsruhe 23 8 6 9 -9 -15.0 30
10 Bochum 23 7 8 8 +3 +5.9 29
11 Bielefeld 23 7 6 10 +4 +0.7 27
12 Fortuna Dusseldorf 23 7 4 12 -12 -2.7 25
13 Braunschweig 23 7 4 12 -14 -1.2 25
14 Holstein Kiel 23 6 6 11 -6 -12.9 24
15 Preußen Münster 22 5 8 9 -7 -5.8 23
16 Magdeburg 23 7 2 14 -10 +3.9 23
17 Greuther Furth 23 6 4 13 -20 -7.1 22
18 Dresden 22 5 6 11 -8 -0.0 21

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.

Odds comparison

Green columns are the outcomes that came in.

1X2
H
2,37
U
3,36
B ✓
2,75
Over/under goals
O1,5 ✓
O2,5 ✓
1,73
U2,5
1,99
O3,5 ✓
Both teams to score
BLS ja ✓
BLS nei

Referee

P Schwengers · 28 kamper i vår database

🟨 Yellow cards
4,1 / match
Average
⚽ Free kicks
23,0 / match
Average

🟥 Red cards: 0,18 per match

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