Statistics / Football / Poland. I Liga / Pogoń Siedlce vs Stal Mielec

Pogoń Siedlce vs Stal Mielec Statistics & Analysis

May 15, 2026 - 16:00
1 1.45
3 1.25
xG Accuracy: 55%
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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
  • Over / Under 2.5 Over 2.5 Over 2.5 (4 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Pogoń Siedlce Stal Mielec ✖ Incorrect
  • Correct Score Insights 1-1 1-3 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: I Liga
  • Fixture: Pogoń Siedlce vs Stal Mielec
  • Kickoff: 2026-05-16 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Pogoń Siedlce 1.45 — Stal Mielec 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Pogoń Siedlce
  • Model: 41.8% · Implied: 32.0% · Probability edge: +9.8 pts · Est. EV: +6.5%
  • BTTS (model): Yes 53.3% · No 46.7%
  • Correct score (top bin): 1-1 (12.1%)

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

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

Best Bet + Reason

Primary angle highlighted on the page: Pogoń Siedlce.

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

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

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.

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.

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.

What changes first if odds move?

Implied probabilities and EV move immediately with price; model probabilities in this snapshot do not update until the pipeline is re-run. Refresh after material line moves.

Risk Factors

  • 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%).

Methodology

  • Inputs: Same structured facts bundle as the public prediction page (xG / Poisson snapshot, market EV where available, decision engine v2).
  • Compliance: Educational framing only; not personalised advice.

Last Updated

May 18, 2026 (UTC)

How to use this
  • Focus on the Primary line when you want one actionable idea.
  • Do not parlay many thin-edge picks together; edges do not add reliably.
  • Treat longshots as optional, high-stake-sizing plays only.

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Back to Statistics
I Liga I LigaStandings
# TEAM MP W D L PTS
1 Wisla Krakow 33 19 11 3 68
2 Slask Wroclaw 33 17 10 6 61
3 Wieczysta Kraków 33 16 8 9 56
4 Chrobry Głogów 33 16 6 11 54
5 Ruch Chorzów 33 14 11 8 53
6 ŁKS Łódź 32 14 9 9 51
7 Polonia Warszawa 33 14 8 11 50
8 Miedz Legnica 33 14 7 12 49
9 Polonia Bytom 33 13 8 12 47
10 Puszcza Niepołomice 32 11 13 8 46
11 Pogoń Grod. Mazowiecki 33 11 11 11 44
12 Odra Opole 33 11 11 11 44
13 Stal Rzeszów 33 12 6 15 42
14 Pogoń Siedlce 33 9 9 15 36
15 Stal Mielec 33 9 6 18 33
16 Górnik Łęczna 33 5 12 16 27
17 Znicz Pruszków 33 6 7 20 25
18 Tychy 71 33 5 7 21 22
# TEAM MP GS GC +/- PTS
1 Wisla Krakow 33 70 32 +38 68
2 Wieczysta Kraków 33 69 46 +23 56
3 Slask Wroclaw 33 69 47 +22 61
4 Polonia Bytom 33 55 46 +9 47
5 ŁKS Łódź 32 53 46 +7 51
6 Ruch Chorzów 33 52 43 +9 53
7 Pogoń Grod. Mazowiecki 33 51 54 -3 44
8 Polonia Warszawa 33 50 48 +2 50
9 Miedz Legnica 33 50 52 -2 49
10 Chrobry Głogów 33 47 35 +12 54
11 Stal Mielec 33 47 61 -14 33
12 Stal Rzeszów 33 46 57 -11 42
13 Puszcza Niepołomice 32 43 38 +5 46
14 Górnik Łęczna 33 38 59 -21 27
15 Znicz Pruszków 33 37 66 -29 25
16 Tychy 71 33 37 71 -34 22
17 Odra Opole 33 33 38 -5 44
18 Pogoń Siedlce 33 33 41 -8 36