01 · 2 legs
Safe
- FC Tokyo to win56%
- Over 1.5 goals79%
J1 LeagueAjinomoto Stadium, Tokyo24°3,6 mm8 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
TEXT: FC Tokyo's grip on this matchup is undeniable, with three victories in their last six encounters against Nagoya Grampus. While the sample size remains small, it aligns with Tokyo's current form — unbeaten in their last five league matches. The hosts' balance of physicality and defensive discipline contrasts sharply with Nagoya's possession-based approach, suggesting a tactical battle in midfield.
The numbers present a clear advantage for Tokyo. They're not just collecting points but doing so with underlying solidity. Their xG per match stands at 1.7, notably higher than Nagoya's 1.2, while defensively, they concede fewer quality opportunities, with an xGA of 1.2 compared to the visitors' 1.6. These statistics reflect more than just table position; they reveal Tokyo's ability to create and suppress chances effectively.
Expected goals tell an even sharper story: Tokyo's predicted 1.92 versus Nagoya's mere 1.00 casts doubt on the visitors' ability to challenge the hosts' unbeaten streak. Factor in the expected rain, and we might see a cautious first half as both sides adapt to the slick conditions. Yet, the model still favors over 2.5 goals at 56%, suggesting that despite the weather, openings will emerge, especially as legs tire and defenses stretch.
In terms of betting angles, Tokyo's win probability at 56% aligns neatly with the odds. However, the most lucrative angle might lie in the over 2.5 goals market. Despite the anticipated rain, the over 2.5 goals market may offer potential value. The data points to a game where Tokyo's attacking prowess should eventually shine through, propelling them to a likely 2-1 victory.
01 · 2 legs
02 · 3 legs
03 · 4 legs
No odds available yet.
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 | FC Tokyo | Nagoya Grampus |
|---|---|---|
| Points | 11 | 6 |
| xPoints | 9.3 | 5.7 |
| xG per match | 1.7 | 1.2 |
| xGA per match | 1.2 | 1.6 |
| xG within 8s of winning the ball | 0.4 | 0.15 |
| xGA within 8s of losing the ball | 0.6 | 0.27 |
| Playing style | FC Tokyo | Nagoya Grampus |
|---|---|---|
| Build-up efficiency | 0.29 | 0.31 |
| Field tilt | 0.54 | 0.58 |
| xT per match | 1.2 | 1.1 |
| xTA per match | 0.95 | 1 |
| Won balls, offensive half | 24 | 24 |
| Pressing intensity | 0.23 | 0.22 |
| Pressing efficiency | 0.28 | 0.33 |
| Pressing efficiency, offensive half | 0.28 | 0.33 |
| Entries into the box per match | 19 | 16 |
| Entries into the box against | 13 | 11 |
| Pass completion % | 0.78 | 0.79 |
| Pass completion % under pressure | 0.74 | 0.75 |
| Passes per match | 408 | 423 |
| Passes against per match | 331 | 292 |
| Switches of play per match | 24.6 | 35 |
| Long balls per match | 28 | 41 |
| Set pieces | FC Tokyo | Nagoya Grampus |
|---|---|---|
| xG from free kicks | 0 | 0.04 |
| Corners per match | 3.8 | 5.6 |
| Corners against per match | 4.7 | 4.3 |
| xG per corner | 0.02 | 0.06 |
| xGA per corner against | 0.04 | 0.01 |
| First touch, offensive corners % | 0.17 | 0.53 |
| First touch, defensive corners % | 0.61 | 0.73 |
| Other | FC Tokyo | Nagoya Grampus |
|---|---|---|
| Throw-in control | 0.73 | 0.76 |
| The goalkeepers | Seung-Gyu Kim (FC Tokyo) | Alexandre Pisano (Nagoya Grampus) |
|---|---|---|
| Saves | 10 | 19 |
| Save % | 56% | 68% |
| xG prevented | 21% | 47% |
| Claims | 0 (0%) | 0 (0%) |
The model gives FC Tokyo a 56% win probability. Full 1X2 picture: FC Tokyo 56%, draw 24%, Nagoya Grampus 20%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 56% and under at 44%.
The probability of both teams scoring is 54% according to the model.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.