01 · 2 legs
Safe
- Kashima Antlers to win46%
- Over 1.5 goals82%
J1 LeagueUvance Todoroki Stadium, Kawasaki24°1,8 mm12 km/h
Läs på svenskaSofia Andersson · · The model's read on the match · How the predictions work
Six matches since the start of 2023 offer a split verdict between Kawasaki Frontale and Kashima Antlers, each claiming three wins without a draw. Yet, this small sample size should not overshadow the current form and analytical predictions. Despite the even head-to-head, the model leans toward the visitors, who boast a 46% chance of victory. With Kawasaki's balanced and physical play clashing against Kashima's possession-oriented strategy, the game promises tactical intrigue.
The expected goals (xG) metrics reveal Kawasaki generating slightly more opportunities per game, with 1.6 xG, compared to Kashima’s 1.5. However, the defensive figures tilt the scales towards the visitors, with the hosts conceding more on average (1.5 xGA to Kashima's 1.0). This defensive edge, combined with Kashima's higher real points tally (12 against Kawasaki's 9), suggests a subtle superiority favoring the Antlers.
Weather might play its part, with 31.4 mm of rain potentially dampening goal-scoring exploits, although the model has already factored this in. Despite the conditions, there's still a solid 61% chance for over 2.5 goals and a 62% probability for both teams finding the net. The nature of this high-scoring fixture, averaging 3.2 goals per encounter, further supports a prediction of goals.
The sharpest angle lies in recognizing Kashima Antlers' edge. Bet365 offers odds of 2.20 for a Kashima win, presenting value given the probabilities and recent trends. A 2-1 victory for the visitors aligns with both the model's insights and the tactical landscape, making Kashima Antlers the side to back in this vibrant clash.
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 | Kawasaki Frontale | Kashima Antlers |
|---|---|---|
| Points | 9 | 12 |
| xPoints | 8.8 | 7.7 |
| xG per match | 1.6 | 1.5 |
| xGA per match | 1.5 | 1 |
| xG within 8s of winning the ball | 0.38 | 0.1 |
| xGA within 8s of losing the ball | 0.33 | 0.28 |
| Playing style | Kawasaki Frontale | Kashima Antlers |
|---|---|---|
| Build-up efficiency | 0.32 | 0.3 |
| Field tilt | 0.59 | 0.71 |
| xT per match | 1 | 1.5 |
| xTA per match | 1.2 | 0.62 |
| Won balls, offensive half | 19 | 24 |
| Pressing intensity | 0.23 | 0.23 |
| Pressing efficiency | 0.27 | 0.34 |
| Pressing efficiency, offensive half | 0.23 | 0.27 |
| Entries into the box per match | 16 | 15 |
| Entries into the box against | 15 | 8 |
| Pass completion % | 0.79 | 0.79 |
| Pass completion % under pressure | 0.74 | 0.74 |
| Passes per match | 416 | 508 |
| Passes against per match | 354 | 270 |
| Switches of play per match | 19.7 | 33 |
| Long balls per match | 22 | 39 |
| Set pieces | Kawasaki Frontale | Kashima Antlers |
|---|---|---|
| xG from free kicks | 0.01 | 0.06 |
| Corners per match | 4.6 | 4.4 |
| Corners against per match | 3.8 | 4.4 |
| xG per corner | 0.01 | 0.02 |
| xGA per corner against | 0.02 | 0.01 |
| First touch, offensive corners % | 0.46 | 0.41 |
| First touch, defensive corners % | 0.43 | 0.59 |
| Other | Kawasaki Frontale | Kashima Antlers |
|---|---|---|
| Throw-in control | 0.68 | 0.77 |
| The goalkeepers | Svend Arvid Stanislaw Brodersen (Kawasaki Frontale) | Tomoki Hayakawa (Kashima Antlers) |
|---|---|---|
| Saves | 27 | 12 |
| Save % | 75% | 60% |
| xG prevented | 41% | 27% |
| Claims | 0 (0%) | 0 (0%) |
The model gives Kashima Antlers a 46% win probability. Full 1X2 picture: Kawasaki Frontale 30%, draw 24%, Kashima Antlers 46%.
The model's most likely final score is 1-1 at 11% probability.
The model rates over 2.5 goals at 61% and under at 39%.
The probability of both teams scoring is 62% 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.