01 · 2 legs
Safe
- Double chance Vissel Kobe or draw (X2)71%
- Under 3.5 goals82%
J1 League20°0,1 mm19 km/h
Läs på svenskaFinal score 0–3. Before kick-off the model's prediction was as follows. BetBuilders AI model prediction for Fagiano Okayama vs Vissel Kobe (J1 League, Sunday, 18 October 2026): Fagiano Okayama win 26%, draw 32%, Vissel Kobe win 42%. Expected goals (xG): Fagiano Okayama 0.98, Vissel Kobe 1.23. Most likely score: 1-1 (14%). Over 2.5 goals 38%, both teams to score 45%. Double chance: Fagiano Okayama or draw 58%, Vissel Kobe or draw 74%. Prediction updated Friday, 9 October 2026.
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Anna Karlsson · · A data-driven preview · How the predictions work
A clash of contrasting playing styles will shape the narrative when Fagiano Okayama hosts Vissel Kobe. The hosts' preference for possession and high pressing sets the stage for an intriguing battle against the visitors' counter-attacking and crossing game. It's a tactical chess match with the potential to be determined by who can impose their style more effectively. The model tips the balance towards Kobe, who have shown a slight edge in multiple facets.
Fagiano's 26% win probability and their xG per match of 1.0 suggest they may struggle to break down a well-organized Kobe defense. Meanwhile, the visitors, with a 42% chance of victory and a stronger xG per match of 1.6, are better positioned to capitalize on their chances. Despite Okayama’s slightly superior defensive metrics—0.89 xGA compared to Kobe’s 0.99—the overall numbers tilt in favor of the visiting team.
Head-to-head statistics, though limited with only two matches since 2023, favor Kobe, who won both contests. While this sample size is small and less impactful than current form and expected goals, it does add another layer of confidence for Kobe. The model's most likely scorelines—1-1, 0-1, and 0-0—reinforce the view of a tight affair, with goals expected to be at a premium.
For bettors, the standout angle lies in the total goals market. The probability of under 2.5 goals is 62%, providing value at odds of 1.7 with Betsafe, LeoVegas, and Nordicbet. With the style clash and historical data pointing towards a low-scoring game, under 2.5 goals offers a compelling opportunity to leverage the model's insights.
The verdict on the pre-built bet builders for this match, priced against the model’s score matrix before kickoff. Graded on the 90-minute result.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Fagiano Okayama | X | 2 · Vissel Kobe |
|---|---|---|---|
| Betsafe | 2.75 | 3.00 | EV+ 7% 2.52 |
| LeoVegas | 2.75 | 3.10 | EV+ 6% 2.50 |
| Nordicbet | 2.75 | 3.00 | EV+ 7% 2.52 |
| Pinnacle | 2.95 | EV+ 5% 3.29 | EV+ 8% 2.54 |
Odds updated 18 Oct, 08:16
2.94 → 2.95
3.23 → 3.29
2.48 → 2.54
2.11 → 2.21
Pinnacle · 10 recorded price levels · 16/10/2026 → 18/10/2026 · fixed scale 5 percentage points
Head-to-head based on J1 League data since 2023.
Solid line = created (xG), dashed = conceded (xGA).
Last 5 matches. Circle size = pass volume, line width = combinations between players. Attacking left to right.
The same network weighted by offensive threat (xT): circle size = threat created by the player, line width = threat of the combinations. Last 5 matches, attacking left to right.
| Performance | Fagiano Okayama | Vissel Kobe |
|---|---|---|
| Points | 13 | 19 |
| xPoints | 14.1 | 14.9 |
| xG per match | 1 | 1.6 |
| xGA per match | 0.89 | 0.99 |
| xG within 8s of winning the ball | 0.17 | 0.28 |
| xGA within 8s of losing the ball | 0.14 | 0.15 |
| Playing style | Fagiano Okayama | Vissel Kobe |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.51 | 0.54 |
| xT per match | 0.99 | 1.1 |
| xTA per match | 0.73 | 0.98 |
| Won balls, offensive half | 27 | 37 |
| Pressing intensity | 0.22 | 0.23 |
| Pressing efficiency | 0.29 | 0.31 |
| Pressing efficiency, offensive half | 0.27 | 0.28 |
| Entries into the box per match | 13 | 15 |
| Entries into the box against | 9 | 12 |
| Pass completion % | 0.68 | 0.71 |
| Pass completion % under pressure | 0.66 | 0.68 |
| Passes per match | 272 | 334 |
| Passes against per match | 381 | 319 |
| Switches of play per match | 13.2 | 25.2 |
| Long balls per match | 24 | 37 |
| Set pieces | Fagiano Okayama | Vissel Kobe |
|---|---|---|
| xG from free kicks | 0.01 | 0.07 |
| Corners per match | 5.8 | 3.7 |
| Corners against per match | 3.7 | 4.2 |
| xG per corner | 0.03 | 0.04 |
| xGA per corner against | 0.03 | 0.01 |
| First touch, offensive corners % | 0.36 | 0.39 |
| First touch, defensive corners % | 0.5 | 0.76 |
| Other | Fagiano Okayama | Vissel Kobe |
|---|---|---|
| Throw-in control | 0.65 | 0.76 |
| The goalkeepers | Lennart Franklin Moser (Fagiano Okayama) | Shuichi Gonda (Vissel Kobe) |
|---|---|---|
| Saves | 13 | 10 |
| Save % | 56% | 71% |
| xG prevented | 39% | 68% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Vissel Kobe a 42% win probability. Full 1X2 picture: Fagiano Okayama 26%, draw 32%, Vissel Kobe 42%.
The model's most likely final score is 1-1 at 14% probability.
The model rates over 2.5 goals at 38% and under at 62%.
The probability of both teams scoring is 45% according to the model.
The model expects 0.98 goals (xG) for Fagiano Okayama and 1.23 for Vissel Kobe, 2.21 in total.
Fagiano Okayama or draw (1X) 58%, Vissel Kobe or draw (X2) 74% and no draw (12) 68%.
The same rules as the bookmakers’ builders: legs that contradict or already follow from your slip cannot be combined — for example correct score 2–1 with under 2.5 goals. The difference is that we don’t look the rules up in a table; we compute them straight from the score matrix.

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Hämta bonusPredictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.