01 · 2 legs
Safe
- Vissel Kobe to win56%
- Over 1.5 goals77%
J1 LeagueNoevir Stadium, Kobe16°0,8 mm18 km/h
Läs på svenskaBetBuilders AI model prediction for Vissel Kobe vs Nagoya Grampus (J1 League, Saturday, 31 October 2026): Vissel Kobe win 56%, draw 24%, Nagoya Grampus win 20%. Expected goals (xG): Vissel Kobe 1.73, Nagoya Grampus 1.05. Most likely score: 1-1 (12%). Over 2.5 goals 53%, both teams to score 54%. Double chance: Vissel Kobe or draw 80%, Nagoya Grampus or draw 44%. Prediction updated Friday, 23 October 2026.
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Anna Karlsson · · A data-driven preview · How the predictions work
1-1 is the model’s single most likely scoreline at 12%, yet the match shape still points towards Vissel Kobe. The hosts carry a 56% win probability against Nagoya Grampus’s 20%, with the draw at 24%. That tension matters: Kobe have the stronger overall case, but Nagoya’s possession control can keep a result tight long enough for the draw to remain live.
The decisive question is whether Nagoya can turn possession into enough danger before Kobe strike in transition. Kobe’s counter-attacking and crossing profile matches well against a visiting side likely to have the ball, and the expected-goals split is telling: 1.73 to 1.05. The season indicators support the same direction. Kobe have 23 points to Nagoya’s 14, 19.3 xPoints to 13.7, and produce 1.7 xG per match compared with 1.3. Defensively, Kobe also concede only 1.2 xGA per match, against 1.3 for the visitors.
The historical fixture record since 2023 leans hard towards the hosts: 3 wins, 3 draws and 0 losses in 6 meetings. Kobe dominate this matchup by 3 wins to 0 in those 6 meetings, although the draws show why backing a routine home stroll would be careless. The fixture has averaged 3.7 goals per meeting, but that history should not be confused with current attacking output. Kobe’s 57% home win rate across 60 home matches adds context, yet the present xG data is the stronger argument.
Over 2.5 goals has a narrow 53% model lean, and both teams to score sits at 54%, so the goals angle is marginal rather than emphatic. My most likely scoreline is still 1-1, but the betting analysis points to a Kobe win, with 1-0 and 2-1 each rated at 10%. The sharpest angle is Vissel Kobe to win at 1.92 with Betsafe, LeoVegas or Nordicbet: the model’s 56% rating suggests an 8% edge, an assessment rather than a guarantee.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Vissel Kobe | X | 2 · Nagoya Grampus |
|---|---|---|---|
| Betsafe | EV+ 8% 1.92 | 3.40 | 3.60 |
| LeoVegas | EV+ 8% 1.92 | 3.50 | 3.50 |
| Nordicbet | EV+ 8% 1.92 | 3.40 | 3.60 |
Odds updated 26 Oct, 14:36
1.85 → 1.92
3.60 → 3.50
3.65 → 3.50
1.68 → 1.67
LeoVegas · 6 recorded price levels · 25/10/2026 → 26/10/2026 · 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 | Vissel Kobe | Nagoya Grampus |
|---|---|---|
| Points | 23 | 14 |
| xPoints | 19.3 | 13.7 |
| xG per match | 1.7 | 1.3 |
| xGA per match | 1.2 | 1.3 |
| xG within 8s of winning the ball | 0.26 | 0.25 |
| xGA within 8s of losing the ball | 0.26 | 0.28 |
| Playing style | Vissel Kobe | Nagoya Grampus |
|---|---|---|
| Build-up efficiency | 0.32 | 0.32 |
| Field tilt | 0.52 | 0.55 |
| xT per match | 1.1 | 1.1 |
| xTA per match | 1.1 | 0.92 |
| Won balls, offensive half | 37 | 27 |
| Pressing intensity | 0.24 | 0.23 |
| Pressing efficiency | 0.31 | 0.3 |
| Pressing efficiency, offensive half | 0.29 | 0.29 |
| Entries into the box per match | 15 | 15 |
| Entries into the box against | 13 | 12 |
| Pass completion % | 0.71 | 0.8 |
| Pass completion % under pressure | 0.68 | 0.75 |
| Passes per match | 330 | 443 |
| Passes against per match | 316 | 327 |
| Switches of play per match | 23.9 | 32.6 |
| Long balls per match | 38 | 38 |
| Set pieces | Vissel Kobe | Nagoya Grampus |
|---|---|---|
| xG from free kicks | 0.08 | 0.05 |
| Corners per match | 4.3 | 4.9 |
| Corners against per match | 4.6 | 3.8 |
| xG per corner | 0.03 | 0.05 |
| xGA per corner against | 0.01 | 0.01 |
| First touch, offensive corners % | 0.32 | 0.51 |
| First touch, defensive corners % | 0.71 | 0.56 |
| Other | Vissel Kobe | Nagoya Grampus |
|---|---|---|
| Throw-in control | 0.76 | 0.76 |
| The goalkeepers | Shuichi Gonda (Vissel Kobe) | Alexandre Pisano (Nagoya Grampus) |
|---|---|---|
| Saves | 25 | 19 |
| Save % | 81% | 68% |
| xG prevented | 71% | 47% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Vissel Kobe a 56% win probability. Full 1X2 picture: Vissel Kobe 56%, draw 24%, Nagoya Grampus 20%.
The model's most likely final score is 1-1 at 12% probability.
The model rates over 2.5 goals at 53% and under at 47%.
The probability of both teams scoring is 54% according to the model.
The model expects 1.73 goals (xG) for Vissel Kobe and 1.05 for Nagoya Grampus, 2.78 in total.
Vissel Kobe or draw (1X) 80%, Nagoya Grampus or draw (X2) 44% and no draw (12) 76%.
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.