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South Korea · K League 2 · K-League 2

17 May 2026 07:30 UTC

GIMHAE FC 2008 vs DAEGU FC

Final 1:4

Daegu FC won Last goal: Daegu FC

Match timeline

1st half

  1. ⚽ Marcus Dackers — Daegu FC

2nd half

  1. ⚽ Maissa Fall — Gimhae FC 2008
  2. ⚽ Gi-Hyun Park — Daegu FC
  3. ⚽ Edgar — Daegu FC
  4. ⚽ Matheus Serafim — Daegu FC

Model predictions were

Solid call
45%
1X2
Daegu FC
Result: Daegu FC
As expected
54%
Both teams to score
No

Chance at least one team fails to score

Result: Yes
Solid call
70%
Total 1.5
Over

Chance of 2 or more goals

Result: Over
As expected
51%
Total 2.5
Under

Chance of 2 or fewer goals

Result: Over
Off target
67%
Total 3.5
Under

Chance of 3 or fewer goals

Result: Over
Big miss
86%
Total 4.5
Under

Chance of 4 or fewer goals

Result: Over
As expected
5%
Score
0:2

Chance of this exact score

Result: 1:4

Model Context Was

Match prediction context

Probability in similar matches 50% (Average)

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 (-2; home goals minus away goals).

Based on 14 past matches with this goal margin in this league.

Draw likelihood 31% (High)

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

Based on 280 finished matches in this league.

League

Historical model performance in this league before this match date.

Based on 233 completed matches.

1X2 41% (Weak)
Both teams to score 52% (Average)
Total 1.5 62% (Good)
Total 2.5 55% (Good)
Total 3.5 61% (Good)
Total 4.5 80% (Strong)
Score 12% (Weak)

More stats

Teams

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

Based on 20 past matches

1X2 50% (Average)
Both teams to score 45% (Average)
Total 1.5 65% (Strong)
Total 2.5 35% (Weak)
Total 3.5 50% (Average)
Total 4.5 70% (Strong)
Score 0% (Risky)

Markets

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

1X2 41% (Weak)
63 predictions
Both teams to score 55% (Average)
132 predictions
Total 1.5 70% (Strong)
180 predictions
Total 2.5 57% (Good)
114 predictions
Total 3.5 70% (Strong)
181 predictions
Total 4.5 87% (Strong)
212 predictions

Match overview

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