01 · 2 legs
Safe
- Sanfrecce Hiroshima to win58%
- Over 1.5 goals80%
J1 LeagueBest Denki Stadium, Fukuoka26°4,2 mm13 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
TEXT: Sanfrecce Hiroshima's high press and possession style have been a thorn in Avispa Fukuoka's side, as seen in their six encounters since 2023, with the visitors winning five and drawing one. This dominance is underlined by a model probability giving Sanfrecce a commanding 58% chance of victory. Their aggressive approach is likely to keep Fukuoka on the back foot, as the visitors look to exploit any defensive lapses with precision.
Avispa Fukuoka's balanced and physical approach has not been enough to counter Hiroshima's strategic press, which has consistently disrupted their rhythm. The hosts have managed only four points compared to Sanfrecce's eleven in the league, further showcasing the gap in current form. With expected goals (xG) figures at 1.02 for Fukuoka and 1.97 for Sanfrecce, the visitors are anticipated to create significantly more scoring opportunities.
The most likely scorelines of 1-1, 1-2, and 0-2 each at 10% reflect both Sanfrecce’s offensive prowess and Fukuoka’s potential to at least find the net once. However, with an over 2.5 goals probability at 58% and both teams to score at 55%, the smart money could be on a more open contest than the historical record suggests. A slight rain, expected at 2.4 mm, may dampen the tempo but should not heavily influence the goal-scoring potential, which is already factored into the model.
Given the statistical edges in both offensive and defensive metrics, Sanfrecce Hiroshima looks poised to continue their strong run against Fukuoka. Expect a 1-2 outcome favoring the visitors, aligning with both their strategy and statistical superiority.
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 | Avispa Fukuoka | Sanfrecce Hiroshima |
|---|---|---|
| Points | 4 | 11 |
| xPoints | 9.9 | 12 |
| xG per match | 1.4 | 2.3 |
| xGA per match | 1 | 0.69 |
| xG within 8s of winning the ball | 0.12 | 0.39 |
| xGA within 8s of losing the ball | 0.17 | 0.1 |
| Playing style | Avispa Fukuoka | Sanfrecce Hiroshima |
|---|---|---|
| Build-up efficiency | 0.33 | 0.33 |
| Field tilt | 0.54 | 0.69 |
| xT per match | 1 | 1.7 |
| xTA per match | 0.71 | 0.75 |
| Won balls, offensive half | 30 | 29 |
| Pressing intensity | 0.22 | 0.22 |
| Pressing efficiency | 0.27 | 0.28 |
| Pressing efficiency, offensive half | 0.26 | 0.25 |
| Entries into the box per match | 14 | 20 |
| Entries into the box against | 9 | 9 |
| Pass completion % | 0.68 | 0.8 |
| Pass completion % under pressure | 0.67 | 0.78 |
| Passes per match | 271 | 469 |
| Passes against per match | 379 | 317 |
| Switches of play per match | 17.6 | 37.2 |
| Long balls per match | 29 | 42 |
| Set pieces | Avispa Fukuoka | Sanfrecce Hiroshima |
|---|---|---|
| xG from free kicks | 0.04 | 0.17 |
| Corners per match | 5.1 | 5.7 |
| Corners against per match | 1.5 | 2 |
| xG per corner | 0.01 | 0.07 |
| xGA per corner against | 0.01 | 0.01 |
| First touch, offensive corners % | 0.52 | 0.38 |
| First touch, defensive corners % | 0.56 | 0.67 |
| Other | Avispa Fukuoka | Sanfrecce Hiroshima |
|---|---|---|
| Throw-in control | 0.8 | 0.72 |
| The goalkeepers | Takumi Nagaishi (Avispa Fukuoka) | Issei Ouchi (Sanfrecce Hiroshima) |
|---|---|---|
| Saves | 7 | 15 |
| Save % | 58% | 79% |
| xG prevented | 32% | 53% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Sanfrecce Hiroshima a 58% win probability. Full 1X2 picture: Avispa Fukuoka 19%, draw 23%, Sanfrecce Hiroshima 58%.
The model's most likely final score is 1-1 at 10% probability.
The model rates over 2.5 goals at 58% and under at 42%.
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.
Predictions come from PlaymakerAI's match model and reflect the model's assessment — not betting advice. Gamble responsibly.