Predictions / Football / Poland. III Liga - Group 3 / Karkonosze Jelenia Góra vs Goczałkowice Zdrój

Karkonosze Jelenia Góra vs Goczałkowice Zdrój Prediction, Odds & AI Betting Tips

May 08, 2026 - 14:00
0 1.45
1 1.25
xG Accuracy: 63%
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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 Under 2.5 (1 goals) ✖ Incorrect
  • Both Teams To Score BTTS Yes No ✖ Incorrect
  • 1X2 Karkonosze Jelenia Góra Goczałkowice Zdrój ✖ Incorrect
  • Correct Score Insights 1-1, 1-2, 2-1, 0-1, 1-0 0-1 ✔ Correct

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: III Liga - Group 3
  • Fixture: Karkonosze Jelenia Góra vs Goczałkowice Zdrój
  • Kickoff: 2026-05-09 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Karkonosze Jelenia Góra 1.45 — Goczałkowice Zdrój 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS Yes
  • Model: 67.0% · Implied: 61.3% · Probability edge: +5.7 pts · Est. EV: +7.2%
  • BTTS (model): Yes 67.0% · No 33.0%
  • Correct score (top bin): 1-1 (11.0%)

Use the cards for tiering; this text only restates the same inputs in narrative form.

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

Best Bet + Reason

Primary pick from the decision engine: BTTS Yes.

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

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.

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.

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 24, 2026 (UTC)

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III Liga - Group 3 III Liga - Group 3Standings
# TEAM MP W D L PTS
1 Lechia Zielona Góra 33 20 10 3 70
2 Górnik Polkowice 33 20 7 6 67
3 SKRA Częstochowa 33 17 8 8 59
4 Zagłębie Lubin II 33 17 6 10 57
5 Sparta Katowice 32 16 8 8 56
6 Górnik Zabrze II 33 15 6 12 51
7 Goczałkowice Zdrój 33 14 9 10 51
8 Kluczbork 33 14 8 12 50
9 Warta Gorzów 33 14 8 12 49
10 Ślęza Wrocław 33 14 8 12 49
11 Carina Gubin 33 12 11 10 47
12 Słowianin 33 12 9 12 45
13 Miedź Legnica II 33 12 7 14 43
14 Karkonosze Jelenia Góra 33 11 9 13 42
15 Polonia Nysa 32 8 10 14 34
16 Starowice Dolne 33 7 6 20 27
17 Pawłowice Śląskie 33 5 5 24 20
18 Stal Jasień 33 2 1 30 7
# TEAM MP GS GC +/- PTS
1 Lechia Zielona Góra 33 75 16 +59 70
2 Zagłębie Lubin II 33 75 58 +17 57
3 Górnik Zabrze II 33 73 42 +31 51
4 SKRA Częstochowa 33 67 54 +13 59
5 Górnik Polkowice 33 63 40 +23 67
6 Kluczbork 33 61 43 +18 50
7 Miedź Legnica II 33 61 57 +4 43
8 Karkonosze Jelenia Góra 33 55 56 -1 42
9 Warta Gorzów 33 52 47 +5 49
10 Carina Gubin 33 49 49 0 47
11 Ślęza Wrocław 33 49 51 -2 49
12 Sparta Katowice 32 47 32 +15 56
13 Polonia Nysa 32 47 54 -7 34
14 Goczałkowice Zdrój 33 46 44 +2 51
15 Słowianin 33 46 48 -2 45
16 Starowice Dolne 33 32 79 -47 27
17 Pawłowice Śląskie 33 28 75 -47 20
18 Stal Jasień 33 21 102 -81 7