01 · 2 legs
Safe
- Urawa Reds to win55%
- Over 1.5 goals77%
J1 LeagueSaitama Stadium 2002, Saitama24°3,4 mm7 km/h
Läs på svenskaAnna Karlsson · · A data-driven preview · How the predictions work
TEXT:
In a game where both Urawa Reds and Tokyo Verdy exhibit low defensive profiles paired with a direct playing style, the momentum leans heavily toward the hosts. On a streak of three consecutive victories, Urawa Reds have been consistently finding the net, scoring in eight league matches in a row. Their attacking edge is supported by an expected goals (xG) tally of 1.82, far outstripping Tokyo Verdy's 0.95. This attacking prowess suggests that Urawa's ability to break down defences could be central to the match's outcome.
Despite only a modest 11% probability for a 1-1 draw and the same for a 1-0 home victory, the model paints a picture of a tightly contested affair with a slight tilt in favour of Urawa Reds. Three wins on the trot contrast with Tokyo Verdy’s struggle for results, having accumulated only three points so far this season. The head-to-head record since 2023 is a small sample (1 win, 2 draws, 1 loss for Urawa Reds), which weighs less in comparison to the current form and expected goals data that clearly favour the hosts.
The weather forecast adds another layer, with 33.8 mm of rain expected, potentially dampening the attacking flair of both sides. However, the predicted inclement conditions are already factored into the model's numbers, which still suggest a slight over 2.5 goals lean at 52%. Urawa's historical win rate of 55% at home, coupled with their form, enhances the likelihood of a home win, with a 1-0 or 2-0 result appearing plausible.
While no outcome is guaranteed, the numbers place the hosts as favorites to control the narrative, despite weather challenges.
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 | Urawa Reds | Tokyo Verdy |
|---|---|---|
| Points | 9 | 3 |
| xPoints | 8.2 | 6.9 |
| xG per match | 1.7 | 0.89 |
| xGA per match | 1.7 | 1.6 |
| xG within 8s of winning the ball | 0.22 | 0.23 |
| xGA within 8s of losing the ball | 0.14 | 0.16 |
| Playing style | Urawa Reds | Tokyo Verdy |
|---|---|---|
| Build-up efficiency | 0.32 | 0.28 |
| Field tilt | 0.48 | 0.24 |
| xT per match | 1.4 | 0.73 |
| xTA per match | 1.4 | 1.6 |
| Won balls, offensive half | 28 | 23 |
| Pressing intensity | 0.23 | 0.24 |
| Pressing efficiency | 0.29 | 0.25 |
| Pressing efficiency, offensive half | 0.25 | 0.23 |
| Entries into the box per match | 13 | 8 |
| Entries into the box against | 16 | 17 |
| Pass completion % | 0.72 | 0.71 |
| Pass completion % under pressure | 0.67 | 0.66 |
| Passes per match | 314 | 289 |
| Passes against per match | 306 | 505 |
| Switches of play per match | 20.5 | 11.6 |
| Long balls per match | 28 | 23 |
| Set pieces | Urawa Reds | Tokyo Verdy |
|---|---|---|
| xG from free kicks | 0.02 | 0.01 |
| Corners per match | 3.7 | 3.2 |
| Corners against per match | 5 | 5.9 |
| xG per corner | 0.03 | 0.01 |
| xGA per corner against | 0.05 | 0.02 |
| First touch, offensive corners % | 0.5 | 0.56 |
| First touch, defensive corners % | 0.7 | 0.57 |
| Other | Urawa Reds | Tokyo Verdy |
|---|---|---|
| Throw-in control | 0.73 | 0.73 |
| The goalkeepers | Shusaku Nishikawa (Urawa Reds) | Matheus Caldeira Vidotto de Oliveria (Tokyo Verdy) |
|---|---|---|
| Saves | 26 | 21 |
| Save % | 63% | 72% |
| xG prevented | 59% | 56% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Urawa Reds a 55% win probability. Full 1X2 picture: Urawa Reds 55%, draw 26%, Tokyo Verdy 19%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 52% and under at 48%.
The probability of both teams scoring is 52% 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.