Statistics / Football / Hungary. NB III - Southwest / Szekszárd vs Paksi SE II

Szekszárd vs Paksi SE II Statistics & Analysis

May 24, 2026 - 15:00
3 1.45
2 1.25
xG Accuracy: 53%
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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 (5 goals) ✔ Correct
  • Both Teams To Score BTTS No Yes ✖ Incorrect
  • 1X2 Szekszárd Szekszárd ✔ Correct
  • Correct Score Insights 1-1, 1-2, 2-1, 2-2, 1-3 3-2 ✖ Incorrect

AI match briefing

AI Match Summary

Quick read on how the model reads this matchup.

  • League: NB III - Southwest
  • Fixture: Szekszárd vs Paksi SE II
  • Kickoff: 2026-05-24 15:00:00
  • 1X2 (model): Home 41.8% · Draw 25.7% · Away 32.6%
  • xG (showing): Szekszárd 1.45 — Paksi SE II 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 29.4% · Over 2.5 70.6%); BTTS No (Yes 47.4% · No 52.6%) Value lean (pricing): O/U 2.5 Over 2.5; BTTS No
  • BTTS (model): Yes 47.4% · No 52.6%
  • Correct score (top bin): 1-1 (8.6%)

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

Skip unless odds move — the engine sees no line clearing the +EV gate.

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.

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.

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

June 06, 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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NB III - Southwest NB III - SouthwestStandings
# TEAM MP W D L PTS
1 Nagykanizsai ULE 30 21 6 3 69
2 Pécsi MFC 30 20 7 3 67
3 Kaposvar 30 20 3 7 63
4 Ferencváros II 30 17 4 9 55
5 Majosi 30 17 3 10 54
6 MTK Budapest II 30 16 4 10 52
7 Érdi VSE 30 15 7 8 52
8 Dunaújváros-Pálhalma 30 13 10 7 49
9 Iváncsa 30 11 6 13 39
10 Siofok 30 11 5 14 38
11 Paksi SE II 30 10 2 18 32
12 Szekszárd 30 9 4 17 31
13 PTE-PEAC 30 6 10 14 28
14 Balatonlelle SE 30 6 6 18 24
15 Pénzügyőr 30 4 8 18 20
16 Dombóvári 30 0 3 27 3
# TEAM MP GS GC +/- PTS
1 Majosi 30 78 49 +29 54
2 Pécsi MFC 30 71 25 +46 67
3 Nagykanizsai ULE 30 64 27 +37 69
4 Kaposvar 30 64 32 +32 63
5 Ferencváros II 30 63 43 +20 55
6 MTK Budapest II 30 62 33 +29 52
7 Dunaújváros-Pálhalma 30 58 42 +16 49
8 Iváncsa 30 49 44 +5 39
9 Érdi VSE 30 47 39 +8 52
10 Szekszárd 30 43 75 -32 31
11 Paksi SE II 30 42 62 -20 32
12 Siofok 30 40 55 -15 38
13 PTE-PEAC 30 39 51 -12 28
14 Pénzügyőr 30 31 61 -30 20
15 Balatonlelle SE 30 24 53 -29 24
16 Dombóvári 30 22 106 -84 3