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Germany · Regionalliga · Regionalliga North

09 May 2026 16:00 UTC

BLAU-WEISS LOHNE vs SCHOENINGEN

Final 4:4

Draw Last goal: Schoeningen

Match timeline

2nd half

  1. ⚽ Nico Thoben — Blau-Weiss Lohne
  2. ⚽ Ayhan Cankor — Schoeningen
  3. ⚽ Philipp Harant — Schoeningen
  4. ⚽ Christian Skoda — Schoeningen
  5. ⚽ Nico Thoben — Blau-Weiss Lohne
  6. ⚽ Rilind Neziri — Blau-Weiss Lohne
  7. ⚽ Leonard Bredol — Blau-Weiss Lohne
  8. ⚽ Max-Pete Klump — Schoeningen

Model predictions were

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

As expected
39%
1X2
Schoeningen
90-minute result: Draw
As expected
47%
Both teams to score
No

Chance at least one team fails to score

Result: Yes
On point
80%
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
58%
Total 3.5
Under

Chance of 3 or fewer goals

Result: Over
Big miss
77%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Over
As expected
7%
Score
0:3

Chance of this exact score

Result: 4:4

Model Context Was

Match prediction context

Probability in similar matches 36% (Weak)

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 (-3; home goals minus away goals).

Based on 61 past matches with this goal margin in this league.

Draw likelihood 24% (Typical)

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

Based on 1,422 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 1424 completed matches.

1X2 41% (Weak)
Both teams to score 54% (Average)
Total 1.5 73% (Strong)
Total 2.5 55% (Good)
Total 3.5 54% (Average)
Total 4.5 69% (Strong)
Score 6% (Weak)

More stats

Teams

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

Based on 61 past matches

1X2 48% (Average)
Both teams to score 57% (Good)
Total 1.5 77% (Strong)
Total 2.5 54% (Average)
Total 3.5 51% (Average)
Total 4.5 79% (Strong)
Score 7% (Weak)

Markets

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

1X2 41% (Weak)
1077 predictions
Both teams to score 43% (Weak)
504 predictions
Total 1.5 83% (Strong)
1211 predictions
Total 2.5 63% (Good)
887 predictions
Total 3.5 60% (Good)
882 predictions
Total 4.5 79% (Strong)
1152 predictions

Match overview