
Racing Genk

KV Kortrijk
Racing Genk – KV Kortrijk
What the model says
Probabilities computed by model v2-20261001-0205, Oct 9, 03:01 AM.
- Predicted result
- 1Home win
- Confidence
- 67 %
- Most likely score
- 2-012 % chance
- Expected goals (xG)
- 2.06 – 0.84
- Over 2.5 goals
- 55 %
- Both teams to score
- 50 %
The score shown is the most likely one among those matching the predicted result, not the rounded xG: with 1.83 – 1.24 expected goals and a home win predicted, that is 1-0. 1-1, the single most frequent score overall, only appears when a draw is predicted.
The short version
The model leans towards Racing Genk at home (67 %). The most likely score among those producing that result is 2-0. It expects 2.06 goals for Racing Genk and 0.84 for KV Kortrijk. Bookmakers say the same thing: 65 % on the same outcome. Over their last five matches, Racing Genk took 6 points and KV Kortrijk 3 points. In recent meetings: 3 wins for Racing Genk, 0 draws, 1 win for KV Kortrijk. Over 2.5 goals: 55 %. Both teams to score: 50 %.
What the market says
Average of one bookmaker, margin removed.
| Predicted result | Odds | Implied probability | EdgeModel edge |
|---|---|---|---|
| 1Racing Genk | 1.44 | 65 % | -2.9 % |
| XDraw | 4.40 | 21 % | -11.4 % |
| 2KV Kortrijk | 6.50 | 14 % | -19.0 % |
Model probability × odds − 1. Positive: the odds pay more than the estimated risk. Only the edge on the predicted outcome counts as a value bet.
Form and statistics
Racing Genk
- Last 5 matches
- At home
KV Kortrijk
- Last 5 matches
Head-to-head
- 3 wins
- Racing Genk
- 0 draws
- 1 win
- KV Kortrijk
- Racing Genk3-2KV Kortrijk
- KV Kortrijk2-1Racing Genk
- Racing Genk4-0KV Kortrijk
- KV Kortrijk0-3Racing Genk
Frequently asked questions
Who will win Racing Genk – KV Kortrijk?
Our model gives 1 · Racing Genk a 67 % probability. The three outcomes split as follows: Racing Genk win 67 %, draw 20 %, KV Kortrijk win 12 %.
What is the most likely score for Racing Genk – KV Kortrijk?
The most likely score is 2-0, at 12 %. It is the most frequent score among those that produce the result the model predicts.