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

Pogoń Siedlce vs Stal Rzeszów Statistics & Analysis

Pogoń Siedlce Pogoń Siedlce
May 10, 2026 - 15:00
1 1.45
2 1.25
xG Accuracy: 72%
Stal Rzeszów Stal Rzeszów
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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 Under 2.5 Over 2.5 (3 goals) ✖ Incorrect
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Pogoń Siedlce Stal Rzeszów ✖ Incorrect
  • Correct Score Insights 1-1 1-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: I Liga
  • Fixture: Pogoń Siedlce vs Stal Rzeszów
  • Kickoff: 2026-05-09 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Pogoń Siedlce 1.45 — Stal Rzeszów 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 51.8% · Implied: 45.2% · Probability edge: +6.6 pts · Est. EV: +10.8%
  • BTTS (model): Yes 56.2% · No 43.8%
  • Correct score (top bin): 1-1 (12.6%)

Where EV is shown, it is estimated return per unit stake at the best tracked decimal price — not the same thing as a raw probability gap.

Correct score remains high-variance even when a line is most likely on paper.

Best Bet + Reason

Primary angle highlighted on the page: Under 2.5 goals.

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.

No pick is a guarantee; variance is especially large in scoreline markets.

FAQ

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.

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.

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.

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.

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 17, 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 Liga — Standings
# TEAM MP W D L PTS
1 Wisla Krakow 33 19 11 3 68
2 Slask Wroclaw 32 16 10 6 58
3 Wieczysta Kraków 33 16 8 9 56
4 Chrobry Głogów 33 16 6 11 54
5 ŁKS Łódź 32 14 9 9 51
6 Ruch Chorzów 32 13 11 8 50
7 Polonia Warszawa 33 14 8 11 50
8 Miedz Legnica 32 14 7 11 49
9 Polonia Bytom 32 13 8 11 47
10 Puszcza Niepołomice 32 11 13 8 46
11 Odra Opole 33 11 11 11 44
12 Pogoń Grod. Mazowiecki 32 11 10 11 43
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 32 5 6 21 21
# TEAM MP GS GC +/- PTS
1 Wisla Krakow 33 70 32 +38 68
2 Wieczysta Kraków 33 69 46 +23 56
3 Slask Wroclaw 32 66 46 +20 58
4 Polonia Bytom 32 54 43 +11 47
5 ŁKS Łódź 32 53 46 +7 51
6 Pogoń Grod. Mazowiecki 32 51 54 -3 43
7 Ruch Chorzów 32 50 42 +8 50
8 Polonia Warszawa 33 50 48 +2 50
9 Miedz Legnica 32 49 50 -1 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 32 37 71 -34 21
17 Odra Opole 33 33 38 -5 44
18 Pogoń Siedlce 33 33 41 -8 36
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