Statistics / Football / Poland. III Liga - Group 3 / Carina Gubin vs Polonia Nysa

Carina Gubin vs Polonia Nysa Statistics & Analysis

Carina Gubin Carina Gubin
May 30, 2026 - 13:00
1 1.45
2 1.25
xG Accuracy: 72%
Polonia Nysa Polonia Nysa
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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 Yes Yes ✔ Correct
  • 1X2 Carina Gubin Polonia Nysa ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 1-0, 0-1 1-2 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: III Liga - Group 3
  • Fixture: Carina Gubin vs Polonia Nysa
  • Kickoff: 2026-05-30 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Carina Gubin 1.45 — Polonia Nysa 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 70.8% · Implied: 63.1% · Probability edge: +7.7 pts · Est. EV: +6.2%
  • BTTS (model): Yes 70.8% · No 29.2%
  • Correct score (top bin): 1-1 (11.0%)

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

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

Best Bet + Reason

The engine’s headline primary is: BTTS Yes.

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.

Edges shrink quickly if prices move; always re-check the number on your book.

FAQ

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.

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.

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

June 06, 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
III Liga - Group 3 III Liga - Group 3 — Standings
# TEAM MP W D L PTS
1 Lechia Zielona Góra 34 21 10 3 73
2 Górnik Polkowice 34 20 7 7 67
3 Sparta Katowice 34 18 8 8 62
4 SKRA Częstochowa 34 17 8 9 59
5 Zagłębie Lubin II 34 17 6 11 57
6 Goczałkowice Zdrój 34 15 9 10 54
7 Kluczbork 34 15 8 12 52
8 Warta Gorzów 34 15 8 12 52
9 Górnik Zabrze II 34 15 6 13 51
10 Ślęza Wrocław 34 14 8 13 49
11 Słowianin 34 13 9 12 48
12 Carina Gubin 34 12 11 11 47
13 Miedź Legnica II 34 13 7 14 46
14 Karkonosze Jelenia Góra 34 12 9 13 45
15 Polonia Nysa 34 9 10 15 37
16 Starowice Dolne 34 7 6 21 27
17 Pawłowice Śląskie 34 5 5 25 20
18 Stal Jasień 34 2 1 31 7
# TEAM MP GS GC +/- PTS
1 Lechia Zielona Góra 34 77 17 +60 73
2 Zagłębie Lubin II 34 77 61 +16 57
3 Górnik Zabrze II 34 73 44 +29 51
4 SKRA Częstochowa 34 68 56 +12 59
5 Kluczbork 34 67 43 +24 52
6 Górnik Polkowice 34 64 42 +22 67
7 Miedź Legnica II 34 63 58 +5 46
8 Karkonosze Jelenia Góra 34 57 56 +1 45
9 Warta Gorzów 34 54 47 +7 52
10 Sparta Katowice 34 53 34 +19 62
11 Polonia Nysa 34 51 58 -7 37
12 Carina Gubin 34 50 51 -1 47
13 Goczałkowice Zdrój 34 49 46 +3 54
14 Ślęza Wrocław 34 49 57 -8 49
15 Słowianin 34 48 49 -1 48
16 Starowice Dolne 34 33 81 -48 27
17 Pawłowice Śląskie 34 28 77 -49 20
18 Stal Jasień 34 21 105 -84 7
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