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Bundesliga
Referee: Robert Kampka
Augsburg
S U T T U
4–1
Full-time
Freiburg
T T U S S

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

Augsburg Freiburg
Last 6 — all competitions · 6/6 matches
Win Ø 34%
17%
50%
Points per game
0,8
1,7
Over 2.5 Ø 50%
50%
50%
Both score Ø 67%
83%
50%
Average goals
2,8
3,2
Scored
1,2
1,7
Conceded
1,7
1,5
Goal diff per game
-0,5
+0,2
This season — Bundesliga · 5/5 matches
Win Ø 30%
20%
40%
Points per game
1,0
1,4
Over 2.5 Ø 60%
60%
60%
Both score Ø 80%
100%
60%
Average goals
3,0
3,4
Scored
1,4
1,6
Conceded
1,6
1,8
Goal diff per game
-0,2
-0,2
🔒 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

50% Possession 50%
22 Shots 13
10 Shots on target 6
3 Blocked shots 4
5 Goalkeeper saves 6
5 Corners 3
2 Offside 0
14 Free kicks against 9
0 Yellow cards 1
0 Red cards 0
The table before the match Augsburg 14. · Freiburg 12.
# Team K V U T +/− P
1 Dortmund 6 4 2 0 +14 14
2 Bayern Munich 6 4 1 1 +7 13
3 Hertha 6 4 1 1 +5 13
4 M'gladbach 6 3 2 1 +3 11
5 Werder Bremen 6 3 2 1 +3 11
6 RB Leipzig 6 3 2 1 +1 11
7 Wolfsburg 6 2 3 1 +1 9
8 Mainz 6 2 2 2 +0 8
9 Nurnberg 6 2 2 2 -3 8
10 Hoffenheim 6 2 1 3 +0 7
11 Ein Frankfurt 6 2 1 3 +0 7
12 Freiburg 5 2 1 2 -1 7
13 Leverkusen 6 2 0 4 -6 6
14 Augsburg 5 1 2 2 -1 5
15 Fortuna Dusseldorf 6 1 2 3 -4 5
16 Stuttgart 6 1 2 3 -5 5
17 Schalke 04 6 1 0 5 -6 3
18 Hannover 6 0 2 4 -8 2

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.