Predictions / Football / Poland. III Liga - Group 1 / Ząbkovia Ząbki vs Broń Radom

Ząbkovia Ząbki vs Broń Radom Prediction, Odds & AI Betting Tips

May 13, 2026 - 16:00
0 1.45
0 1.25
xG Accuracy: 48%
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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 (0 goals) ✖ Incorrect
  • Both Teams To Score BTTS No No ✔ Correct
  • 1X2 Ząbkovia Ząbki Draw ✖ Incorrect
  • Correct Score Insights 1-1, 2-1, 1-2, 2-2, 1-0 0-0 ✖ Incorrect

AI match briefing

AI Match Summary

Below is a compact, numbers-first snapshot aligned with the same engine as the cards above.

  • League: III Liga - Group 1
  • Fixture: Ząbkovia Ząbki vs Broń Radom
  • Kickoff: 2026-05-13 16:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Ząbkovia Ząbki 1.45 — Broń Radom 1.25 (total xG ≈ 2.7)
  • Primary / headline line (Betting Primary Pick when shown): BTTS No
  • Model: 51.4% · Implied: 38.6% · Probability edge: +12.8 pts · Est. EV: +25.9%
  • BTTS (model): Yes 48.6% · No 51.4%
  • Correct score (top bin): 1-1 (9.1%)

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.

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

Best Bet + Reason

The engine’s headline primary is: BTTS No.

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.

When several markets sit near +EV, keep stakes small — correlation means edges do not add cleanly.

FAQ

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.

Is the most likely correct score a good bet?

Usually no as a standalone bet: the “most likely” scoreline is still a low absolute probability tail event (often single digits, sometimes low teens). Use it as context; keep any correct-score stake in the “fun / small” bucket.

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.

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 21, 2026 (UTC)

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III Liga - Group 1 III Liga - Group 1Standings
# TEAM MP W D L PTS
1 Legia Warszawa II 32 26 3 3 81
2 Łomża 32 20 5 7 65
3 Warta Sieradz 32 19 8 5 65
4 Wigry Suwałki 32 19 5 8 62
5 Troszyn 32 17 6 9 57
6 Wisła Płock II 32 14 8 10 50
7 Widzew II 32 15 3 14 48
8 Lechia T. Mazowiecki 32 13 7 12 46
9 Jagiellonia II 32 13 6 13 45
10 Ząbkovia Ząbki 32 13 4 15 43
11 Swit 32 12 5 15 41
12 Mławianka Mława 32 10 7 15 37
13 Olimpia Elbląg 32 10 7 15 37
14 Bełchatów 32 9 7 16 34
15 Wikielec 32 9 6 17 33
16 Broń Radom 32 8 9 15 33
17 Wasilków 32 7 3 22 24
18 Znicz Biała Piska 32 3 3 26 12
# TEAM MP GS GC +/- PTS
1 Legia Warszawa II 32 79 26 +53 81
2 Troszyn 32 74 43 +31 57
3 Łomża 32 73 30 +43 65
4 Ząbkovia Ząbki 32 69 60 +9 43
5 Widzew II 32 65 63 +2 48
6 Lechia T. Mazowiecki 32 63 52 +11 46
7 Warta Sieradz 32 61 33 +28 65
8 Wigry Suwałki 32 60 39 +21 62
9 Mławianka Mława 32 51 56 -5 37
10 Wisła Płock II 32 49 48 +1 50
11 Bełchatów 32 48 70 -22 34
12 Swit 32 47 60 -13 41
13 Jagiellonia II 32 43 43 0 45
14 Olimpia Elbląg 32 43 58 -15 37
15 Wasilków 32 38 74 -36 24
16 Wikielec 32 36 51 -15 33
17 Broń Radom 32 36 55 -19 33
18 Znicz Biała Piska 32 24 98 -74 12