Bicskei vs SC Sopron Statistics & Analysis

May 10, 2026 - 16:00
5 1.45
2 1.25
xG Accuracy: 31%
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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 Over 2.5 (7 goals) ✔ Correct
  • Both Teams To Score BTTS Yes Yes ✔ Correct
  • 1X2 Bicskei Bicskei ✔ Correct
  • Correct Score Insights 1-1 5-2 ✖ Incorrect

AI match briefing

AI Match Summary

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

  • League: NB III - Northwest
  • Fixture: Bicskei vs SC Sopron
  • Kickoff: 2026-05-10 15:00:00
  • 1X2 (model): Home 45.0% · Draw 45.0% · Away 10.0%
  • xG (showing): Bicskei 1.45 — SC Sopron 1.25 (total xG ≈ 2.7)
  • Value headline: None — no positive EV could be estimated on tracked lines at current best prices (missing odds or thin book depth).
  • Structural leans (not bets): Structural lean (model): O/U 2.5 Over 2.5 (Under 2.5 37.0% · Over 2.5 63.0%); BTTS Yes (Yes 54.9% · No 45.1%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS Yes
  • BTTS (model): Yes 54.9% · No 45.1%
  • Correct score (top bin): 1-1 (10.2%)

The decision block shows no default bet: no tracked line clears the headline minimum +EV threshold at the best prices we have (a leg can still show small +EV below that bar). Lean labels are directional only — not bankroll-sized recommendations.

If lines move materially, re-run generation or refresh — implied probabilities and any future EV readouts will change first.

Best Bet + Reason

No bankroll-sized bet is implied here.

When 1X2 is tight, prices often already embed the uncertainty — all three legs can be −EV, or show only small +EV that still fails the headline threshold — respect that when sizing.

Correct-score markets remain high-variance even when one scoreline leads the table.

FAQ

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.

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.

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.

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.

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 17, 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
NB III - Northwest NB III - NorthwestStandings
# TEAM MP W D L PTS
1 Gyirmot SE 28 25 1 2 76
2 Tatabánya 28 18 2 8 56
3 Dorogi FC 28 17 4 7 55
4 Puskás II 28 16 3 9 51
5 Komárom 28 14 6 8 48
6 Haladás VSE 28 14 5 9 47
7 MTE 1904 28 13 5 10 44
8 Veszprém 28 11 8 9 41
9 Bicskei 28 10 6 12 36
10 Budaörs 28 10 5 13 35
11 Gyori ETO II 28 9 4 15 31
12 Újpest II 28 8 7 13 31
13 SC Sopron 28 8 7 13 31
14 Pápai Perutz 28 6 3 19 21
15 Balatonfüredi 28 4 6 18 18
16 Zsámbéki SK 28 3 4 21 13
# TEAM MP GS GC +/- PTS
1 Gyirmot SE 28 101 20 +81 76
2 Tatabánya 28 60 37 +23 56
3 Komárom 28 56 41 +15 48
4 Puskás II 28 55 33 +22 51
5 Bicskei 28 49 47 +2 36
6 Budaörs 28 47 50 -3 35
7 Dorogi FC 28 45 32 +13 55
8 Gyori ETO II 28 43 58 -15 31
9 MTE 1904 28 42 31 +11 44
10 Újpest II 28 42 48 -6 31
11 Pápai Perutz 28 42 79 -37 21
12 Haladás VSE 28 41 31 +10 47
13 SC Sopron 28 39 54 -15 31
14 Zsámbéki SK 28 34 100 -66 13
15 Veszprém 28 33 31 +2 41
16 Balatonfüredi 28 20 57 -37 18