Ramalan / Bola Sepak / Poland. Ekstraklasa / Legia Warszawa vs Widzew Łódź

Legia Warszawa vs Widzew Łódź Ramalan, Odds & Tip Pertaruhan AI

May 01, 2026 - 18:30
1 1.18
0 1.00
xG Accuracy: 72%

Penilaian Ramalan

Ramalan yang boleh dipercayai

Kegemaran
Legia Warszawa Perlawanan seimbang
Kebarangkalian model
38.2%
Perjanjian pasaran
Pengesahan
Belum selesai

Ringkasan:

Model dan pasaran kedua-dua lean {pasukan}, tetapi kedua-duanya tidak menunjukkan kegemaran yang dominan. Seri dan Seri kekal munasabah — ini perlawanan yang agak terbuka.

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Tracked markets vs full-time result

Each row compares the model’s highlighted side (or lean) to what happened at full time.

  • Market Prediction Result Outcome
  • Lebih / Kurang 2.5 Kurang 2.5 Kurang 2.5 (1 goals) ✔ Correct
  • Kedua-dua Pasukan Menjaringkan Gol BTTS Tidak Tidak ✔ Correct
  • 1X2 Legia Warszawa Legia Warszawa ✔ Correct
  • Cerapan skor tepat 1-0, 1-1, 0-0, 0-1, 2-0 1-0 ✔ Correct

Taklimat perlawanan AI

Ringkasan perlawanan AI

Quick read on how the model reads this matchup.

  • League: Ekstraklasa
  • Fixture: Legia Warszawa vs Widzew Łódź
  • Kickoff: 2026-05-02 16:00:00
  • 1X2 (model): Home 38.2% · Draw 32.6% · Away 29.2%
  • xG (showing): Legia Warszawa 1.18 — Widzew Łódź 1.0 (total xG ≈ 2.18)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 62.8% · Implied: 55.0% · Probability edge: +7.8 pts · Est. EV: +10.5%
  • BTTS (model): Yes 45.5% · No 54.5%
  • Correct score (top bin): 1-0 (13.3%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

Early match state can move realised goals away from pre-kick projections.

Taruhan terbaik dan sebab

Primary pick from the decision engine: Under 2.5 goals.

We separate probability edge (model minus implied, in points of probability) from estimated EV (economic edge at the best price shown on the page).

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

Safer market than correct score?

Markets with more liquidity and smoother prices (often 1X2 or O/U 2.5 from many books) are usually easier to reason about than long-tail correct-score prices; still read EV on each leg.

How should I read EV versus a probability gap?

Probability edge = model probability minus implied probability (reported here in percentage points). EV ≈ model probability × best tracked decimal odds − 1, shown as return per unit stake. They are related but not interchangeable labels.

What is the best-supported line in this snapshot?

Match the hero card above: if it says “Betting Primary Pick”, that leg cleared primary rules; if it says “Best +EV (tracked markets)”, it is the strongest +EV line that did not meet stricter Primary thresholds. The bullets below repeat the same model %, implied %, edge (pts), and EV % as that card.

Why might 1X2 look unattractive while totals do not?

Tight 1X2 prices often embed a fair three-way split, so EV on match-winner can sit negative even when Over/Under or BTTS still diverges from the model — compare the 1X2 row on the market cards to O/U and BTTS.

Faktor risiko

  • Price movement: implied probabilities and EV move with odds.
  • Sample / data gaps: low-information leagues widen forecast bands.
  • In-play state: goals and red cards are not modelled here.
  • Scoreline variance: the most likely scoreline is still usually a low absolute probability outcome (often well below 20%).

Metodologi

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Narrative: Template sentence library with fixture-stable selection (no per-request LLM for this block).
  • Compliance: Educational framing only; not personalised advice.

Terakhir dikemas kini

May 01, 2026 (UTC)

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Ekstraklasa EkstraklasaKedudukan
# PASUKAN P M S K Mata
1 Lech Poznan 34 16 12 6 60
2 Gornik Zabrze 34 16 8 10 56
3 Jagiellonia 34 15 11 8 56
4 Raków Częstochowa 34 16 7 11 55
5 GKS Katowice 34 14 8 12 50
6 Legia Warszawa 34 12 13 9 49
7 Zaglebie Lubin 34 13 9 12 48
8 Wisla Plock 34 12 10 12 46
9 Pogon Szczecin 34 13 6 15 45
10 Radomiak Radom 34 11 11 12 44
11 Korona Kielce 34 11 10 13 43
12 Motor Lublin 34 10 13 11 43
13 Cracovia Krakow 34 9 15 10 42
14 Widzew Łódź 34 12 6 16 42
15 Piast Gliwice 34 11 8 15 41
16 Lechia Gdansk 34 12 7 15 38
17 Arka Gdynia 34 9 9 16 36
18 Nieciecza 34 9 7 18 34
# PASUKAN P J B +/- Mata
1 Lech Poznan 34 62 45 +17 60
2 Lechia Gdansk 34 62 65 -3 38
3 Jagiellonia 34 56 41 +15 56
4 Radomiak Radom 34 52 53 -1 44
5 Raków Częstochowa 34 51 40 +11 55
6 GKS Katowice 34 51 45 +6 50
7 Gornik Zabrze 34 50 38 +12 56
8 Pogon Szczecin 34 47 49 -2 45
9 Motor Lublin 34 46 53 -7 43
10 Zaglebie Lubin 34 45 38 +7 48
11 Nieciecza 34 43 65 -22 34
12 Legia Warszawa 34 42 37 +5 49
13 Piast Gliwice 34 42 46 -4 41
14 Widzew Łódź 34 41 41 0 42
15 Korona Kielce 34 40 40 0 43
16 Cracovia Krakow 34 39 42 -3 42
17 Wisla Plock 34 34 38 -4 46
18 Arka Gdynia 34 34 61 -27 36
# PASUKAN P xG xGC +/- Mata
1 Lech Poznan 34 61.0 37.8 +23.2 60
2 Legia Warszawa 34 46.6 35.5 +11.1 49
3 Raków Częstochowa 34 52.6 43.7 +8.9 55
4 Gornik Zabrze 34 46.1 40.2 +5.9 56
5 Lechia Gdansk 34 51.5 46.0 +5.5 38
6 Piast Gliwice 34 45.8 40.9 +4.9 41
7 Pogon Szczecin 34 53.4 49.1 +4.3 45
8 Cracovia Krakow 34 39.5 36.4 +3.1 42
9 Widzew Łódź 34 38.9 37.5 +1.4 42
10 Wisla Plock 34 44.9 45.4 -0.5 46
11 Korona Kielce 34 49.9 51.2 -1.3 43
12 GKS Katowice 34 42.0 46.5 -4.5 50
13 Radomiak Radom 34 42.7 48.4 -5.7 44
14 Jagiellonia 34 44.4 50.6 -6.2 56
15 Zaglebie Lubin 34 35.7 44.8 -9.1 48
16 Arka Gdynia 34 36.6 49.7 -13.1 36
17 Nieciecza 34 44.5 58.1 -13.6 34
18 Motor Lublin 34 40.0 54.5 -14.5 43