Dự đoán / Bóng đá / Poland. Ekstraklasa / Motor Lublin vs Lech Poznan

Motor Lublin vs Lech Poznan Dự đoán, tỷ lệ cược & mẹo cá cược AI

May 02, 2026 - 18:15
0 0.98
1 2.34
xG Accuracy: 53%
Nhà cái cao cấp 1xBet: người mới có thể dùng mã khuyến mãi 1x_3342271. Đăng ký ngay

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
  • Trên / Dưới 2.5 Trên 2.5 Dưới 2.5 (1 goals) ✖ Incorrect
  • Cả Hai Đội Đều Ghi Bàn BTTS Không Không ✔ Correct
  • 1X2 Lech Poznan Lech Poznan ✔ Correct
  • Thông tin tỷ số chính xác 0-2, 1-2, 0-1, 1-1, 0-3 0-1 ✔ Correct

Tóm tắt trận đấu AI

Tóm tắt trận đấu AI

Quick read on how the model reads this matchup.

  • League: Ekstraklasa
  • Fixture: Motor Lublin vs Lech Poznan
  • Kickoff: 2026-05-02 16:00:00
  • 1X2 (model): Home 13.2% · Draw 20.2% · Away 66.6%
  • xG (showing): Motor Lublin 0.98 — Lech Poznan 2.34 (total xG ≈ 3.32)
  • Primary / headline line (Betting Primary Pick when shown): Lech Poznan
  • Model: 66.6% · Implied: 48.9% · Probability edge: +17.7 pts · Est. EV: +7.8%
  • BTTS (model): Yes 57.5% · No 42.5%
  • Correct score (top bin): 0-2 (9.9%)

Totals and BTTS are evaluated against current market prices where available.

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

Kèo tốt nhất và lý do

The engine’s headline primary is: Lech Poznan.

Model probability is compared to implied probability from odds to highlight a probability edge; EV uses the same model probability with the best decimal price tracked.

Only one modest +EV edge is highlighted here; size cautiously and re-check if odds move.

Câu hỏi thường gặp

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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.

Who has the edge in the match-winner market?

Use the 1X2 model percentages in the summary and the 1X2 market card: the side with the highest model % is the model lean, but check EV — a lean can still be -EV after prices.

Yếu tố rủi ro

  • 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%).

Phương pháp

  • 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.

Cập nhật lần cuối

May 01, 2026 (UTC)

Nhận dự đoán cao cấp cho Motor Lublin & Lech Poznan!

Mở khóa phân tích chuyên sâu, mẹo cá cược độc quyền và dự đoán trận đấu với dịch vụ đăng ký cao cấp của chúng tôi.

Đăng ký ngay
Quay lại Dự đoán
Ekstraklasa EkstraklasaBảng xếp hạng
# ĐỘI MP T H B PTS
1 Lech Poznan 33 16 11 6 59
2 Gornik Zabrze 33 15 8 10 53
3 Jagiellonia 33 14 11 8 53
4 Raków Częstochowa 33 15 7 11 52
5 GKS Katowice 33 14 7 12 49
6 Zaglebie Lubin 33 13 9 11 48
7 Legia Warszawa 33 11 13 9 46
8 Wisla Plock 33 12 9 12 45
9 Radomiak Radom 33 11 11 11 44
10 Pogon Szczecin 33 13 5 15 44
11 Motor Lublin 33 10 13 10 43
12 Korona Kielce 33 11 9 13 42
13 Piast Gliwice 33 11 8 14 41
14 Cracovia Krakow 33 9 14 10 41
15 Widzew Łódź 33 11 6 16 39
16 Lechia Gdansk 33 12 7 14 38
17 Arka Gdynia 33 9 9 15 36
18 Nieciecza 33 8 7 18 31
# ĐỘI MP GS GC +/- PTS
1 Lech Poznan 33 60 43 +17 59
2 Lechia Gdansk 33 60 62 -2 38
3 Jagiellonia 33 55 41 +14 53
4 GKS Katowice 33 50 44 +6 49
5 Radomiak Radom 33 50 47 +3 44
6 Raków Częstochowa 33 48 40 +8 52
7 Pogon Szczecin 33 46 48 -2 44
8 Motor Lublin 33 46 49 -3 43
9 Zaglebie Lubin 33 45 37 +8 48
10 Gornik Zabrze 33 44 36 +8 53
11 Piast Gliwice 33 41 44 -3 41
12 Nieciecza 33 40 63 -23 31
13 Korona Kielce 33 39 39 0 42
14 Widzew Łódź 33 39 40 -1 39
15 Legia Warszawa 33 38 37 +1 46
16 Cracovia Krakow 33 38 41 -3 41
17 Arka Gdynia 33 34 58 -24 36
18 Wisla Plock 33 32 36 -4 45
# ĐỘI MP xG xGC +/- PTS
1 Lech Poznan 33 59.8 34.6 +25.2 59
2 Legia Warszawa 33 44.3 34.9 +9.4 46
3 Raków Częstochowa 33 52.1 43.1 +9.0 52
4 Piast Gliwice 33 45.4 40.2 +5.2 41
5 Lechia Gdansk 33 48.3 43.9 +4.4 38
6 Pogon Szczecin 33 52.4 48.2 +4.2 44
7 Gornik Zabrze 33 41.5 39.4 +2.1 53
8 Cracovia Krakow 33 38.1 36.2 +1.9 41
9 Widzew Łódź 33 38.2 37.2 +1.0 39
10 Korona Kielce 33 49.6 49.8 -0.2 42
11 Radomiak Radom 33 42.0 43.8 -1.8 44
12 Wisla Plock 33 41.6 44.2 -2.6 45
13 GKS Katowice 33 41.1 45.5 -4.4 49
14 Jagiellonia 33 42.4 48.3 -5.9 53
15 Zaglebie Lubin 33 33.5 42.8 -9.3 48
16 Nieciecza 33 42.4 54.9 -12.5 31
17 Motor Lublin 33 39.5 52.2 -12.7 43
18 Arka Gdynia 33 36.0 49.1 -13.1 36