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Germany · Frauen-Bundesliga

20 Mar 2026 17:30 UTC

SGS ESSEN vs BAYERN MUNICH

Final 0:5

Bayern Munich won

Match timeline

1st half

  1. Pernille Harder — Bayern Munich
  2. 🟥 Jacqueline Meissner — SGS Essen
  3. Linda Dallmann — Bayern Munich

2nd half

  1. Pernille Harder — Bayern Munich
  2. Natalia Padilla — Bayern Munich
  3. Edna Imade — Bayern Munich

Model predictions were

Predictions are settled on the 90-minute result, including stoppage time but excluding extra time and penalties.

Off target
62%
Both teams to score
Yes

Chance that both teams score

Result: No
On point
85%
Total 1.5
Over

Chance of 2 or more goals

Result: Over
Nice call
56%
Total 2.5
Over

Chance of 3 or more goals

Result: Over
As expected
54%
Total 3.5
Under

Chance of 3 or fewer goals

Result: Over
As expected
58%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Over
As expected
5%
Score
1:2

Chance of this exact score

Result: 0:5

Model Context Was

Match prediction context

Probability in similar matches 63% (Good)

How often the predicted 1X2 outcome matched the final result in past matches in this league when the model’s predicted score line had the same home-minus-away goal difference (-1; home goals minus away goals).

Based on 16 past matches with this goal margin in this league.

Draw likelihood 19% (Typical)

Historical draw rate in this league. Low / Typical / High is relative to usual draw frequencies, not model accuracy.

Based on 135 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 138 completed matches.

1X2 48% (Average)
Both teams to score 55% (Good)
Total 1.5 78% (Strong)
Total 2.5 49% (Average)
Total 3.5 48% (Average)
Total 4.5 59% (Good)
Score 3% (Risky)

More stats

Teams

This shows how the model performed in matches with these teams.

Based on 38 past matches

1X2 58% (Good)
Both teams to score 58% (Good)
Total 1.5 82% (Strong)
Total 2.5 53% (Average)
Total 3.5 50% (Average)
Total 4.5 61% (Good)
Score 5% (Weak)

Markets

This shows how often each type of prediction was correct in this league.

1X2 48% (Average)
107 predictions
Both teams to score 61% (Good)
83 predictions
Total 1.5 86% (Strong)
122 predictions
Total 2.5 63% (Good)
94 predictions
Total 3.5 54% (Average)
74 predictions
Total 4.5 70% (Strong)
106 predictions

Match overview