Ramalan / Piala Dunia 2026 / Jepun vs Sweden

Jepun vs Sweden

Group F
Jepun Jepun
Jun 25, 2026 - 23:00
1 1.66
1 1.04
Sweden Sweden

Betting Signal

Model berkata
Jepun 50.2%
Pasaran berkata
Jepun 47.7%
Perbezaan
2.5 pp
Status
Direction aligned; check pricing gap separately

OddsGPT Interpretation

The betting market strongly prefers Jepun (47.7%).

Jepun — market direction supports the model lean.

Pasaran lwn Model

Jepun
50.2% vs 47.71%
+2.5 pp
Draw
27.5% vs 28.27%
-0.8 pp
Sweden
22.4% vs 24.03%
-1.6 pp

Jurang Terbesar

Jepun +2.5 pp

Model ini secara ketara lebih yakin pada Jepun berbanding pasaran.

Model probabilities are generated from the statistical xG model using a Poisson distribution. Closing market probabilities are derived from consensus closing 1X2 odds after margin removal. Values represent implied probabilities rather than betting recommendations. Closing snapshot: PRE1.

Laman pertaruhan premium stake: pengguna baharu boleh guna kod promo FHn2uDc1. Daftar sekarang
Ramalan AI
Jepun 50.2%
Draw 27.5%
Sweden 22.4%

Dijana daripada simulasi Poisson terlaras Elo. Bukan penentu taruhan.

Tunjukkan Data Model Penuh
Kebarangkalian garisan gol Poisson
Garisan Over Under
0.5 91.8% 8.2%
1.5 76.6% 23.4%
2.5 50.6% 49.4%
3.5 28.6% 71.4%
4.5 13.7% 86.3%
Jangkaan perlawanan
Over 2.5 gol
50.6%
Balanced
Under 2.5 gol
49.4%
Kedua-dua jaring gol
53.9%
Balanced
Clean sheet mungkin
46.1%

Poisson total-goals expectation Σλ = 2.7 (Over 2.5 50.6% · Under 2.5 49.4%).

BTTS Yes 53.9% · No 46.1% — neither side dominates the BTTS split.

Skor paling mungkin
Skor Kebarangkalian
1-1 13.1%
1-0 9.6%
2-1 9.6%
2-0 9.2%
0-0 8.2%

Top Poisson cell: 1-1 at 13.1% (draw-type scoreline; exact-score variance remains high).

FAQ
How are win probabilities calculated?

Home and away expected goals (λ) are derived from Elo ratings and tournament parameters, then fed into a Dixon–Coles Poisson grid to produce 1X2, goal-line, and scoreline probabilities shown on this page.

Is this page betting advice?

No. OddsGPT displays model probabilities for informational purposes only. We do not recommend wagers or stake sizes on this page.

What does xG / λ mean here?

λ is the model’s pre-match expected goals for each team before variance is simulated. It is an input to the Poisson matrix, not a post-match expected-goals stat.

Why are exact score probabilities low?

Even the most likely scoreline typically sits below 15% because many score combinations share the probability mass — that is normal for Poisson models.

Fasa Perlawanan: Finished

Kitaran Hayat Keputusan

Peringkat semasa: Awaiting CLV

  1. Prediksi Dijana
  2. Pasaran Berbanding
    Kemasukan Belum selesai
  3. Pengesahan Lulus
  4. Penutupan Dirakam
    Penutup 2.05
  5. CLV Dinilai
    CLV Belum selesai Awaiting CLV calculation
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Perlawanan Group F