Predictions / Football / Poland. II Liga - East / Rekord Bielsko-Biała vs Świt Skolwin

Rekord Bielsko-Biała vs Świt Skolwin Prediction, Odds & AI Betting Tips

May 23, 2026 - 15:00
1.45
1.25
42% 26% 33%
1X2 No bet — no value vs. current odds
Match: 41.8% Rekord Bielsko-Biała; implied 50.0%; EV -17.8%
Small positive edge on a tracked line (~0.6%), below the 2.0% default betting threshold — no Primary pick.
Why The model prices Świt Skolwin (1X2) about 8.2 percentage points above closing implied — the main structural read vs. the line.

Market intelligence

Supporting read on how the prioritized closing feed moved versus the model — use after the Primary pick above.

Market briefing

Market remained largely stable before kickoff. No meaningful late implied-price shift was detected between PRE30 and PRE5 on the prioritized bookmaker snapshot.

Despite limited late movement, the model still prices Świt Skolwin (1X2) meaningfully above what those closing snapshots implied — that gap is a static “model vs. price” read, not a late steam or chase story.

The model still exceeds closing implied on Świt Skolwin (1X2) by about 8.2 percentage points — the clearest mispricing signal summarized on this page.

Model vs. closing implied

Market Model % Closing impl. % Gap (pp)
Rekord Bielsko-Biała (1X2) 41.8 50.0 -8.2
Draw (1X2) 25.7 25.7 -0.0
Świt Skolwin (1X2) 32.6 24.3 +8.2
Over 2.5 goals 59.9 60.0 -0.1
Under 2.5 goals 40.1 40.0 +0.1
BTTS Yes 61.0 60.9 +0.1
BTTS No 39.0 39.1 -0.1
What this means

In plain terms: the model lands near 32.6% on Świt Skolwin (1X2), while the closing snapshot implied about 24.3%. The difference — about 8.2 percentage points — is the largest model-vs.-market gap highlighted on this page.

Quick definitions: “closing implied” is the probability for that outcome implied by the final captured odds (after a simple de-vig). “Gap (pp)” is the model percentage minus that implied value, in percentage points (pp).

Closing-window line move

Single prioritized bookmaker per snapshot (not all books). Capture path: PRE30 → PRE5 · Book: Bet365

Column tags in parentheses: Closing uses the first available snapshot in PRE1→PRE5→PRE10→PRE30; Early uses the first available in PRE30→PRE10→PRE5 that is not the same capture as Closing.

Detailed capture odds are folded below — movement was negligible on de-vig implied prices.

View full line-by-line capture table
Market Early (PRE30) Closing (PRE5) Implied Δ (pp)
Rekord Bielsko-Biała (1X2) 1.8 1.8 0.0
Draw (1X2) 3.5 3.5 0.0
Świt Skolwin (1X2) 3.7 3.7 0.0
Over 2.5 goals 1.57 1.57 0.0
Under 2.5 goals 2.35 2.35 0.0
BTTS Yes 1.53 1.53 0.0
BTTS No 2.38 2.38 0.0
1X2 Poor value
Rekord Bielsko-Biała · Model 41.8%
implied 50.0%
Main consensus market · EV: -17.8%
Best available bookmaker line: +-2.0% EV
Some outlier bookmaker prices may still show small theoretical value vs. the consensus line above.
Both Teams To Score Poor value
Yes 61.0% · No 39.0%
EV Yes -6.67% · EV No -4.06%
Value lean: BTTS No
Correct Score Insights Longshot / fun
Most Likely
1-1
Probability 10.8%
Correct score is high-variance — small stakes for fun only.
Betting decision (model vs. market EV)
Lean only (below +EV threshold) — The model leans a side in at least one market, but no tracked line reaches the engine’s minimum EV threshold for a default stake suggestion.
Decision strength: 4.0 / 10
  • Max 1X2 prob under 50% (no dominant 1X2) (−1.0)
O/U 2.5: EV Over 0.63% · EV Under 0.25% (7 book pairs)
BTTS: EV Yes -6.67% · EV No -4.06%
Should you bet on this match? No default bet: the model does not show +EV at the configured threshold on available lines.

AI match briefing

AI Match Summary

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

  • League: II Liga - East
  • Fixture: Rekord Bielsko-Biała vs Świt Skolwin
  • Kickoff: 2026-05-23 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Rekord Bielsko-Biała 1.45 — Świt Skolwin 1.25 (total xG ≈ 2.7)
  • Value headline: None (actionable) — best tracked EV is about +0.6%, still below the +2.0% minimum for a headline / default stake (no default bet).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 40.1% · Over 2.5 59.9%); BTTS Yes (Yes 61.0% · No 39.0%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 61.0% · No 39.0%
  • Correct score (top bin): 1-1 (10.8%)

When book depth is thin or odds are missing, EV may be unavailable even though the model still prefers one side on totals or BTTS — wait for cleaner prices or skip.

Most likely correct score stays a low-probability tail: use it for context, not as a must-bet story.

Best Bet + Reason

No clear +EV headline on this snapshot.

Treat this page as a read-only diagnostic: totals/BTTS structure can be informative even when the honest answer is to wait.

Re-check after material price moves; edges appear and disappear with liquidity.

FAQ

Should I still read the 1X2 card?

Yes — it shows whether any winner price clears value. Here it often explains why there is no headline: probabilities can be clustered while prices already embed that uncertainty.

What do the grey “lean” labels mean then?

They summarise where the model tilts (e.g. Under 2.5 or BTTS No) without claiming a positive economic edge. Use them as context; size to zero unless you deliberately accept discretionary risk.

When would a headline +EV return?

When odds move enough that implied probabilities drop relative to the same model snapshot, or when more book prices arrive so EV can be computed reliably — then re-run the pipeline.

Is the most likely correct score still relevant?

As context only: it is still a low absolute probability tail outcome (often in the single digits, sometimes low teens). It does not override the “no headline +EV” stance — treat score bets as fun-sized if you play them at all.

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 23, 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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II Liga - East II Liga - EastStandings
# TEAM MP W D L PTS
1 Unia Skierniewice 33 21 5 7 68
2 Warta Poznań 32 17 11 4 62
3 Olimpia Grudziądz 32 17 9 6 60
4 Podbeskidzie 32 16 6 10 54
5 Podhale Nowy Targ 32 13 13 6 52
6 Sandecja Nowy Sącz 32 12 13 7 49
7 Śląsk Wrocław II 32 14 7 11 49
8 Chojniczanka Chojnice 33 13 10 10 49
9 Hutnik Kraków 32 12 9 11 45
10 Świt Skolwin 32 12 8 12 44
11 Rekord Bielsko-Biała 32 11 10 11 43
12 Stal Stalowa Wola 32 8 16 8 40
13 Resovia Rzeszów 32 10 10 12 40
14 Sokół Kleczew 32 9 7 16 34
15 Zaglebie Sosnowiec 33 9 7 17 34
16 Kalisz 33 7 10 16 31
17 ŁKS Łódź II 32 5 10 17 25
18 Jastrzębie 32 0 7 25 6
# TEAM MP GS GC +/- PTS
1 Unia Skierniewice 33 68 43 +25 68
2 Olimpia Grudziądz 32 66 40 +26 60
3 Podbeskidzie 32 61 41 +20 54
4 Śląsk Wrocław II 32 58 48 +10 49
5 Chojniczanka Chojnice 33 56 47 +9 49
6 Warta Poznań 32 53 33 +20 62
7 Stal Stalowa Wola 32 52 43 +9 40
8 Świt Skolwin 32 51 57 -6 44
9 Sandecja Nowy Sącz 32 48 38 +10 49
10 Hutnik Kraków 32 45 37 +8 45
11 Resovia Rzeszów 32 45 44 +1 40
12 Rekord Bielsko-Biała 32 44 46 -2 43
13 Podhale Nowy Targ 32 43 31 +12 52
14 Sokół Kleczew 32 43 56 -13 34
15 Zaglebie Sosnowiec 33 37 60 -23 34
16 Kalisz 33 35 54 -19 31
17 ŁKS Łódź II 32 31 58 -27 25
18 Jastrzębie 32 18 78 -60 6