Budaörs vs Veszprém Statistics & Analysis

May 17, 2026 - 15:00
5 1.45
1 1.25
xG Accuracy: 35%
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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 (6 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Budaörs Budaörs ✔ Correct
  • Correct Score Insights 1-1 5-1 ✖ Incorrect

AI match briefing

AI Match Summary

Pre-match snapshot for this fixture.

  • League: NB III - Northwest
  • Fixture: Budaörs vs Veszprém
  • Kickoff: 2026-05-17 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Budaörs 1.45 — Veszprém 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 44.6% · Over 2.5 55.4%); BTTS No (Yes 41.7% · No 58.3%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 41.7% · No 58.3%
  • Correct score (top bin): 1-1 (11.6%)

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.

Prefer skipping to over-staking when the engine is honest about missing edge.

Best Bet + Reason

No clear +EV headline on this snapshot.

The cards may still show value leans (e.g. a preferred Under or a BTTS side) where prices are inefficient or incomplete — that is not the same as a positive-EV ticket at the configured threshold.

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.

Why is there no “best bet” on this page?

The headline engine uses a minimum +EV threshold (e.g. 2%) for a default pick. A line can still show tiny +EV that fails that bar — we still call it no default bet so readers do not over-size thin edges.

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.

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 20, 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