Predictions / Football / Poland. I Liga / Tychy 71 vs Stal Rzeszów

Tychy 71 vs Stal Rzeszów Prediction, Odds & AI Betting Tips

Tychy 71 Tychy 71
May 23, 2026 - 15:00
1.45
1.25
42% 26% 33%
Stal Rzeszów Stal Rzeszów
Betting Primary Pick (highest +EV)
Under 2.5 — Value (Speculative)
EV 9.4% Model 38.0%
Not a dominant outcome (model probability is below 50% on this leg).
High model EV on this line, but a low model hit-rate — treat as a speculative, not a “banker”.
Both Teams To Score Best value (+EV)
Yes 61.2% · No 38.8%
EV Yes -14.32% · EV No 9.03%
Value lean: BTTS No
1X2 Poor value
Tychy 71 · Model 41.8%
implied 49.1%
EV: -16.4%
Best line EV (1X2) -4.6%
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 10.3%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Value opportunity — At least one market shows estimated +EV at current best decimal odds (threshold: 2.0%).
Decision strength: 5.5 / 10
  • Primary line identified (+1.0)
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
  • Two or more valid +EV lines at threshold (+0.5)
O/U 2.5: EV Over -10.1% · EV Under 9.44% (9 book pairs)
BTTS: EV Yes -14.32% · EV No 9.03%
Should you bet on this match? Only where +EV is shown; always compare with your own limits.
OddsGPT Decision Engine v2.1.0(EV + Market Structure + Risk Adjustment) Check Odds at 1xBet

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: I Liga
  • Fixture: Tychy 71 vs Stal Rzeszów
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Tychy 71 1.45 — Stal Rzeszów 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): Under 2.5 goals
  • Model: 38.0% · Implied: 33.7% · Probability edge: +4.3 pts · Est. EV: +9.4%
  • BTTS (model): Yes 61.2% · No 38.8%
  • Correct score (top bin): 1-1 (10.3%)

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.

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

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

FAQ

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.

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.

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.

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 22, 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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I Liga I Liga — Standings
# 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 33 14 9 10 51
7 Polonia Warszawa 33 14 8 11 50
8 Puszcza Niepołomice 33 12 13 8 49
9 Miedz Legnica 33 14 7 12 49
10 Polonia Bytom 33 13 8 12 47
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 33 53 47 +6 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 33 44 38 +6 49
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
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