Vissel Kobe
Machida Zelvia
Vissel Kobe – Machida Zelvia
What the model says
Probabilities computed by model v3-20261018-0954, Oct 22, 07:00 PM.
- Predicted result
- 1Home win
- Confidence
- 40 %
- Most likely score
- 2-19 % chance
- Expected goals (xG)
- 1.49 – 1.31
- Over 2.5 goals
- 53 %
- Both teams to score
- 57 %
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 Vissel Kobe at home (40 %). The most likely score among those producing that result is 2-1. It expects 1.49 goals for Vissel Kobe and 1.31 for Machida Zelvia. Bookmakers say the same thing: 39 % on the same outcome. Over their last five matches, Vissel Kobe took 9 points and Machida Zelvia 10 points. In recent meetings: 2 wins for Vissel Kobe, 1 draw, 1 win for Machida Zelvia. Over 2.5 goals: 53 %. Both teams to score: 57 %.
What the market says
Average of one bookmaker, margin removed.
| Predicted result | Odds | Implied probability | Gap |
|---|---|---|---|
| 1Vissel Kobe | 2.40 | 39 % | -5.1 % |
| XDraw | 3.15 | 30 % | -11.2 % |
| 2Machida Zelvia | 3.00 | 31 % | -3.1 % |
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
Vissel Kobe
- Last 5 matches
- At home
Machida Zelvia
- Last 5 matches
Head-to-head
- 2 wins
- Vissel Kobe
- 1 draw
- 1 win
- Machida Zelvia
- Machida Zelvia2-0Vissel Kobe
- Vissel Kobe1-0Machida Zelvia
- Vissel Kobe0-0Machida Zelvia
- Machida Zelvia1-2Vissel Kobe
Frequently asked questions
Who will win Vissel Kobe – Machida Zelvia?
Our model gives 1 · Vissel Kobe a 40 % probability. The three outcomes split as follows: Vissel Kobe win 40 %, draw 28 %, Machida Zelvia win 32 %.
What is the most likely score for Vissel Kobe – Machida Zelvia?
The most likely score is 2-1, at 9 %. It is the most frequent score among those that produce the result the model predicts.