Gamba Osaka
Kyoto Sanga
Gamba Osaka – Kyoto Sanga
What the model says
Probabilities computed by model v3-20261018-0954, Oct 22, 07:00 PM.
- Predicted result
- 1Home win
- Confidence
- 51 %
- Most likely score
- 1-011 % chance
- Expected goals (xG)
- 1.69 – 1.01
- Over 2.5 goals
- 51 %
- Both teams to score
- 52 %
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 Gamba Osaka at home (51 %). The most likely score among those producing that result is 1-0. It expects 1.69 goals for Gamba Osaka and 1.01 for Kyoto Sanga. Bookmakers say the same thing: 49 % on the same outcome. Over their last five matches, Gamba Osaka took 7 points and Kyoto Sanga 7 points. In recent meetings: 2 wins for Gamba Osaka, 2 draws, 1 win for Kyoto Sanga. Over 2.5 goals: 51 %. Both teams to score: 52 %.
What the market says
Average of one bookmaker, margin removed.
| Predicted result | Odds | Implied probability | Gap |
|---|---|---|---|
| 1Gamba Osaka | 1.90 | 49 % | -2.5 % |
| XDraw | 3.80 | 24 % | -0.9 % |
| 2Kyoto Sanga | 3.50 | 27 % | -21.0 % |
Model probability × odds − 1. Positive: the model gives this outcome a better chance than the odds do. A gap is not betting advice.
Form and statistics
Gamba Osaka
- Last 5 matches
- At home
Kyoto Sanga
- Last 5 matches
Head-to-head
- 2 wins
- Gamba Osaka
- 2 draws
- 1 win
- Kyoto Sanga
- Kyoto Sanga1-1Gamba Osaka
- Gamba Osaka2-0Kyoto Sanga
- Kyoto Sanga3-1Gamba Osaka
- Gamba Osaka2-1Kyoto Sanga
- Kyoto Sanga2-2Gamba Osaka
Frequently asked questions
Who will win Gamba Osaka – Kyoto Sanga?
Our model gives 1 · Gamba Osaka a 51 % probability. The three outcomes split as follows: Gamba Osaka win 51 %, draw 26 %, Kyoto Sanga win 23 %.
What is the most likely score for Gamba Osaka – Kyoto Sanga?
The most likely score is 1-0, at 11 %. It is the most frequent score among those that produce the result the model predicts.