01 · 2 legs
Safe
- Fagiano Okayama to win48%
- Under 3.5 goals75%
J1 League27°8 km/h
Läs på svenskaMarcus Johansson · · Analysis from the match model · How the predictions work
The numbers are telling. Okayama not only holds a 48% probability of winning but also a decisive advantage in expected goals, registering 1.43 to Chiba's 1.09. Their defensive solidity, marked by an xGA of just 0.28 per match, starkly contrasts with Chiba's porous 2.7. This imbalance suggests that Okayama can control both ends of the pitch, further supported by their superior xPoints of 6.1 against Chiba's 1.3. While the hosts will hope to spring surprise counter-attacks, their recent lack of cutting edge, illustrated by a meager xG of 0.48, doesn't inspire confidence.
While the model suggests 0-1 and 1-2 as plausible outcomes, the most likely scoreline remains 1-1 at 13%, reflecting the potential for Chiba to snatch a goal amid Okayama's pressure. However, the chance of over 2.5 goals occurring is just 46%, slightly below average, implying a tighter affair, with the expected rainfall potentially dampening the attacking flow further.
For those seeking value, backing Okayama to win aligns with both tactical expectations and the numbers, given their form and statistical edge.
01 · 2 legs
02 · 3 legs
03 · 4 legs
Bets where the model's probability beats what the odds imply (EV+).
| Bookmaker | 1 · JEF United Chiba | X | 2 · Fagiano Okayama |
|---|---|---|---|
| Betsafe | EV+ 4% 3.80 | 3.40 | 1.85 |
| Betsson | EV+ 4% 3.80 | 3.40 | 1.85 |
| Nordicbet | EV+ 4% 3.80 | 3.40 | 1.85 |
| Pinnacle | EV+ 7% 3.92 | 3.72 | 1.88 |
Odds updated 31 Aug, 12:36
Market signal
The market has moved clearly towards over 2.5 goals since 29 August — the odds have shortened from 2.17 to 1.86 (−14%).
3.94 → 3.92
3.34 → 3.72
1.99 → 1.88
2.17 → 1.86
Pinnacle · 5 recorded price levels · 29/08/2026 → 31/08/2026 · fixed scale 10 percentage points
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 | JEF United Chiba | Fagiano Okayama |
|---|---|---|
| Points | 0 | 4 |
| xPoints | 1.3 | 6.1 |
| xG per match | 0.48 | 1.3 |
| xGA per match | 2.7 | 0.28 |
| xG within 8s of winning the ball | 0.19 | 0.23 |
| xGA within 8s of losing the ball | 0.45 | 0.02 |
| Playing style | JEF United Chiba | Fagiano Okayama |
|---|---|---|
| Build-up efficiency | 0.34 | 0.32 |
| Field tilt | 0.21 | 0.72 |
| xT per match | 0.64 | 1.5 |
| xTA per match | 1.6 | 0.47 |
| Won balls, offensive half | 18 | 32 |
| Pressing intensity | 0.23 | 0.21 |
| Pressing efficiency | 0.23 | 0.34 |
| Pressing efficiency, offensive half | 0.22 | 0.29 |
| Entries into the box per match | 6 | 19 |
| Entries into the box against | 21 | 6 |
| Pass completion % | 0.75 | 0.7 |
| Pass completion % under pressure | 0.75 | 0.69 |
| Passes per match | 333 | 321 |
| Passes against per match | 435 | 327 |
| Switches of play per match | 16.9 | 21.8 |
| Long balls per match | 21 | 28 |
| Set pieces | JEF United Chiba | Fagiano Okayama |
|---|---|---|
| xG from free kicks | 0.06 | 0.03 |
| Corners per match | 1 | 6.3 |
| Corners against per match | 5.5 | 2.3 |
| xG per corner | 0 | 0.01 |
| xGA per corner against | 0.07 | 0.01 |
| First touch, offensive corners % | 0.33 | 0.37 |
| First touch, defensive corners % | 0.75 | 0.57 |
| Other | JEF United Chiba | Fagiano Okayama |
|---|---|---|
| Throw-in control | 0.77 | 0.75 |
| The goalkeepers | Jose Aurelio Suarez (JEF United Chiba) | Shun Matsuda (Fagiano Okayama) |
|---|---|---|
| Saves | 9 | 2 |
| Save % | 50% | 50% |
| xG prevented | 48% | 41% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Fagiano Okayama a 48% win probability. Full 1X2 picture: JEF United Chiba 27%, draw 25%, Fagiano Okayama 48%.
The model's most likely final score is 1-1 at 13% probability.
The model rates over 2.5 goals at 46% and under at 54%.
The probability of both teams scoring is 51% 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.