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Super League
Referee: A Dudic
Basel
S S U S T
1–1
Full-time
Xamax
T S U T 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

Basel Xamax
Last 6 — all competitions · 6/6 matches
Win Ø 42%
50%
33%
Points per game
1,8
1,2
Over 2.5 Ø 59%
67%
50%
Both score Ø 50%
50%
50%
Average goals
3,0
2,8
Scored
2,2
1,2
Conceded
0,8
1,7
Goal diff per game
+1,3
-0,5
This season — Super League · 12/12 matches
Win Ø 42%
67%
17%
Points per game
2,2
0,9
Over 2.5 Ø 71%
83%
58%
Both score Ø 63%
67%
58%
Average goals
3,4
2,9
Scored
2,4
1,2
Conceded
1,0
1,8
Goal diff per game
+1,4
-0,6
🔒 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: 0–1

69% Possession 31%
18 Shots 8
5 Shots on target 3
2 Blocked shots 2
2 Goalkeeper saves 4
9 Corners 2
1 Offside 3
9 Free kicks against 16
1 Yellow cards 7
0 Red cards 0
The table before the match Basel 2. · Xamax 8.
# Team K V U T +/− P
1 Young Boys 12 8 4 0 +18 28
2 Basel 12 8 2 2 +17 26
3 St. Gallen 13 8 2 3 +11 26
4 Zurich 13 5 3 5 -12 18
5 Sion 13 5 2 6 -4 17
6 Luzern 12 4 3 5 -2 15
7 Servette 12 2 6 4 -1 12
8 Xamax 12 2 5 5 -7 11
9 Lugano 12 2 4 6 -3 10
10 Thun 13 1 3 9 -17 6

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. Aug -19 Xamax – Basel 0–3

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