Statistik / Bola Sepak / Poland. Ekstraklasa / Zaglebie Lubin vs Cracovia Krakow

Zaglebie Lubin vs Cracovia Krakow Statistics & Analysis

Zaglebie Lubin Zaglebie Lubin
May 03, 2026 - 12:45
0 0.94
0 1.16
xG Accuracy: 56%
Cracovia Krakow Cracovia Krakow
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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 (0 goals) ✔ Correct
  • Kedua-dua Pasukan Menjaringkan Gol BTTS Tidak Tidak ✔ Correct
  • 1X2 Cracovia Krakow Lukis ✖ Incorrect
  • Cerapan skor tepat 0-1 0-0 ✖ Incorrect

Taklimat perlawanan AI

Ringkasan perlawanan AI

Pre-match snapshot for this fixture.

  • League: Ekstraklasa
  • Fixture: Zaglebie Lubin vs Cracovia Krakow
  • Kickoff: 2026-05-02 16:00:00
  • 1X2 (model): Home 27.8% · Draw 33.2% · Away 39.0%
  • xG (showing): Zaglebie Lubin 0.94 — Cracovia Krakow 1.16 (total xG ≈ 2.1)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 65.0% · Implied: 58.0% · Probability edge: +7.0 pts · Est. EV: +7.2%
  • BTTS (model): Yes 43.6% · No 56.4%
  • Correct score (top bin): 0-1 (14.2%)

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

1X2 can look balanced even when side markets show clearer structure.

Taruhan terbaik dan sebab

Primary pick from the decision engine: Under 2.5 goals.

If 1X2 looks tight, the engine may still find clearer structure in totals or BTTS — that is intentional.

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

FAQ

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.

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.

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.

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.

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)

Bagaimana untuk menggunakan ini
  • Fokus pada baris Utama apabila anda mahukan satu idea yang boleh diambil tindakan.
  • Jangan parlay banyak picks tepi nipis bersama-sama;tepi tidak menambah dengan pasti.
  • Anggap pukulan panjang sebagai permainan pilihan, bersaiz tinggi sahaja.

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Ekstraklasa Ekstraklasa — Kedudukan
# PASUKAN MP M S K PTS
1 Lech Poznan 33 16 11 6 59
2 Jagiellonia 33 14 11 8 53
3 Gornik Zabrze 33 15 8 10 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 32 9 9 14 36
18 Nieciecza 32 7 7 18 28
# PASUKAN 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 Korona Kielce 33 39 39 0 42
13 Widzew Łódź 33 39 40 -1 39
14 Legia Warszawa 33 38 37 +1 46
15 Cracovia Krakow 33 38 41 -3 41
16 Nieciecza 32 37 61 -24 28
17 Wisla Plock 33 32 36 -4 45
18 Arka Gdynia 32 32 55 -23 36
# PASUKAN 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 32 41.1 53.0 -11.9 28
17 Motor Lublin 33 39.5 52.2 -12.7 43
18 Arka Gdynia 32 34.1 47.9 -13.8 36
Ekstraklasa Poland. Ekstraklasa Ramalan
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