01 · 2 legs
Safe
- Double chance Cerezo Osaka or draw (1X)65%
- Under 3.5 goals72%
J1 LeagueYodoko Sakura Stadium, Osaka22°9 km/h
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Oscar Nilsson · · Model-assisted analysis, fact-checked · How the predictions work
TEXT: A 13-match scoring streak defines Yokohama F. Marinos' recent form, giving them a slight edge despite the model's lean towards Cerezo Osaka. The expected goals suggest a tight contest, with Cerezo at 1.38 and the visitors at 1.31, highlighting the narrow margins between these sides. Historically, the head-to-head since 2023 favors Yokohama slightly, with a 3-2 win record in six encounters, a small sample that carries less weight than current forms and expected goals.
Cerezo's balanced and physical approach contrasts with Yokohama's possession control, setting a tactical clash that might suppress the goal count. Yet, a historical average of 3.0 goals per meeting hints at potential volatility. While the over 2.5 goals sits evenly at 50%, the model suggests a 13% likelihood for a 1-1 draw, a scoreline that aligns with both teams finding the net at a 55% chance.
For savvy bettors, the model's lean towards a Cerezo win at 40% implies possible value against Yokohama's edge in points and xG metrics, though there might be a sliver of overlooked value here if the hosts can exploit their physicality and disrupt Yokohama's rhythm.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · Cerezo Osaka | X | 2 · Yokohama F. Marinos |
|---|---|---|---|
| Betsafe | 2.12 | 3.45 | 2.95 |
| LeoVegas | 2.12 | 3.55 | 2.95 |
| Nordicbet | 2.12 | 3.45 | 2.95 |
Odds updated 3 Oct, 09:36
2.12 → 2.12
3.60 → 3.55
2.95 → 2.95
1.64 → 1.64
LeoVegas · 2 recorded price levels · 03/10/2026 → 03/10/2026 · 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 | Cerezo Osaka | Yokohama F. Marinos |
|---|---|---|
| Points | 11 | 14 |
| xPoints | 7.6 | 12.6 |
| xG per match | 0.97 | 1.4 |
| xGA per match | 1.7 | 1.4 |
| xG within 8s of winning the ball | 0.11 | 0.16 |
| xGA within 8s of losing the ball | 0.18 | 0.24 |
| Playing style | Cerezo Osaka | Yokohama F. Marinos |
|---|---|---|
| Build-up efficiency | 0.31 | 0.3 |
| Field tilt | 0.55 | 0.48 |
| xT per match | 0.94 | 0.68 |
| xTA per match | 1.2 | 0.99 |
| Won balls, offensive half | 23 | 27 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.3 | 0.34 |
| Pressing efficiency, offensive half | 0.32 | 0.26 |
| Entries into the box per match | 12 | 9 |
| Entries into the box against | 14 | 12 |
| Pass completion % | 0.76 | 0.71 |
| Pass completion % under pressure | 0.72 | 0.68 |
| Passes per match | 407 | 297 |
| Passes against per match | 293 | 332 |
| Switches of play per match | 24.3 | 20.8 |
| Long balls per match | 34 | 27 |
| Set pieces | Cerezo Osaka | Yokohama F. Marinos |
|---|---|---|
| xG from free kicks | 0.01 | 0.06 |
| Corners per match | 6 | 3.4 |
| Corners against per match | 6.2 | 5 |
| xG per corner | 0.01 | 0.04 |
| xGA per corner against | 0.03 | 0.03 |
| First touch, offensive corners % | 0.42 | 0.22 |
| First touch, defensive corners % | 0.46 | 0.65 |
| Other | Cerezo Osaka | Yokohama F. Marinos |
|---|---|---|
| Throw-in control | 0.79 | 0.6 |
| The goalkeepers | Kosuke Nakamura (Cerezo Osaka) | Rubén Blanco Veiga (Yokohama F. Marinos) |
|---|---|---|
| Saves | 24 | 11 |
| Save % | 67% | 61% |
| xG prevented | 39% | 26% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Cerezo Osaka a 40% win probability. Full 1X2 picture: Cerezo Osaka 40%, draw 27%, Yokohama F. Marinos 33%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 50% and under at 50%.
The probability of both teams scoring is 55% 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.

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