Statistics / Football / Hungary. NB II

Hungary Hungary NB II Statistics (33)

Predictions

NB II 2025/26 Season Overview

07-27
100%
05-17
  • League goals trend: Average goals per match 2.51
  • Home win rate: About 44%
  • Away win rate: About 31%
  • BTTS rate (both teams to score): About 48%
  • Over 2.5 average hit rate: About 45%
  • Most attacking teams: Vasas
  • Best defensive teams: Budapest Honved / Vasas
Hungary Hungary. NB II (33)
xG Accuracy
May 17
15:00
Soroksar Soroksar
3 1.45 0 1.25
Kecskeméti TE Kecskeméti TE
46%
May 17
15:00
Szeged 2011 Szeged 2011
0 1.45 1 1.25
Csakvar Csakvar
63%
May 17
15:00
Tiszakecske FC Tiszakecske FC
1 1.45 2 1.25
Szentlőrinc SE Szentlőrinc SE
72%
May 17
15:00
Kozarmisleny FC Kozarmisleny FC
2 1.45 1 1.25
Karcag SE Karcag SE
80%
May 17
15:00
Fehérvár FC Fehérvár FC
1 1.45 3 1.25
Budafoki LC Budafoki LC
55%
May 17
15:00
Mezokovesd-zsory Mezokovesd-zsory
0 1.45 1 1.25
Bekescsaba 1912 Bekescsaba 1912
63%
May 17
14:30
BVSC BVSC
4 1.45 1 1.25
Budapest Honved Budapest Honved
46%
May 17
14:30
Vasas Vasas
2 1.45 1 1.25
Ajka Ajka
80%
May 10
17:00
Csakvar Csakvar
1 1.45 0 1.25
Soroksar Soroksar
63%
May 10
17:00
Bekescsaba 1912 Bekescsaba 1912
1 1.45 2 1.25
Kozarmisleny FC Kozarmisleny FC
72%
May 10
15:00
Karcag SE Karcag SE
0 1.45 1 1.25
Tiszakecske FC Tiszakecske FC
63%
May 10
15:00
Ajka Ajka
0 1.45 3 1.25
Szeged 2011 Szeged 2011
42%
May 10
15:00
Szentlőrinc SE Szentlőrinc SE
2 1.45 1 1.25
Fehérvár FC Fehérvár FC
80%
May 10
15:00
Kecskeméti TE Kecskeméti TE
2 1.45 1 1.25
Mezokovesd-zsory Mezokovesd-zsory
80%
May 10
15:00
Budafoki LC Budafoki LC
1 1.45 1 1.25
BVSC BVSC
82%
May 10
14:00
Budapest Honved Budapest Honved
3 1.45 1 1.25
Vasas Vasas
61%
May 04
18:00
Vasas Vasas
3 1.45 2 1.25
Budafoki LC Budafoki LC
53%
May 03
17:00
Soroksar Soroksar
3 1.45 1 1.25
Ajka Ajka
61%
May 03
15:00
Tiszakecske FC Tiszakecske FC
2 1.45 0 1.25
Bekescsaba 1912 Bekescsaba 1912
61%
May 03
15:00
Kozarmisleny FC Kozarmisleny FC
2 1.45 1 1.25
Kecskeméti TE Kecskeméti TE
80%
May 03
15:00
Karcag SE Karcag SE
0 1.45 1 1.25
Szentlőrinc SE Szentlőrinc SE
63%
May 03
15:00
Szeged 2011 Szeged 2011
0 1.45 0 1.25
Budapest Honved Budapest Honved
48%
May 03
15:00
BVSC BVSC
1 1.45 0 1.25
Fehérvár FC Fehérvár FC
63%
May 03
15:00
Mezokovesd-zsory Mezokovesd-zsory
1 1.45 0 1.25
Csakvar Csakvar
63%
Apr 27
18:00
Budapest Honved Budapest Honved
0 1.45 0 1.25
Soroksar Soroksar
48%
Apr 26
17:00
Bekescsaba 1912 Bekescsaba 1912
0 1.45 0 1.25
Karcag SE Karcag SE
48%
Apr 26
15:00
Csakvar Csakvar
0 1.45 2 1.25
Kozarmisleny FC Kozarmisleny FC
55%
Apr 26
15:00
Kecskeméti TE Kecskeméti TE
5 1.45 1 1.25
Tiszakecske FC Tiszakecske FC
35%
Apr 26
15:00
Szentlőrinc SE Szentlőrinc SE
2 1.45 0 1.25
BVSC BVSC
61%
Apr 26
15:00
Fehérvár FC Fehérvár FC
0 1.45 2 1.25
Vasas Vasas
55%
Apr 26
15:00
Mezokovesd-zsory Mezokovesd-zsory
1 1.45 1 1.25
Ajka Ajka
82%
Apr 26
15:00
Budafoki LC Budafoki LC
2 1.45 0 1.25
Szeged 2011 Szeged 2011
61%
Apr 20
18:00
Vasas Vasas
0 1.45 2 1.25
BVSC BVSC
55%

Hungary NB II Betting & Prediction Guides

Want to understand how AI identifies value in Hungary NB II matches? Explore our strategy guides:

NB II Predictions FAQ

Q1: What is the defining probability structure and upset pattern for the Hungary NB II 2025/26 season? ▼
Hungary NB II in the 2025/26 season presents a much starker home-away divide than typical European second tiers. With a 47% home win rate against a meager 24% for visitors, the league is defined by a "fortress" mentality. This 23-point gap suggests that away teams face a psychological and tactical hurdle far greater than in more balanced leagues. Upsets are rarely explosive; they are usually the result of defensive grinding rather than offensive outbursts.

While many leagues see high-frequency upsets, the Hungarian second division remains structurally rigid. With goals per game at a modest 2.52, low-scoring draws often mask the difficulty away teams face. Analyzing these patterns requires acknowledging that probability is never a certainty; managing risk is essential as even the strongest home sides can falter despite the historical trend. Long-term EV remains the priority.
Q2: How does the Over/Under and BTTS structure in Hungary NB II 2025/26 differ from other European leagues? ▼
The 2025/26 Hungary NB II season is characterized by a defense-first identity that sets it apart from high-octane Western European counterparts. A sub-50% BTTS rate of 49% indicates a league where clean sheets are prioritized over expansive play. Unlike the typical "both teams to score" bias found in modern football, this competition rewards a more conservative outlook, as 51% of matches see at least one side fail to find the net.

Furthermore, with Over 2.5 goals occurring in only 43% of fixtures, the league leans heavily toward the "Under" market. This 2.52 goals-per-game average reflects a tactical rigidity where one goal often decides the outcome. Success in modeling these totals depends on identifying defensive discipline rather than attacking flair. Remember that long-term EV matters most, and disciplined risk management is vital in such low-margin goal markets where probability does not guarantee results.
Q3: How does the specific statistical profile of Hungary NB II 2025/26 shape the odds and where can models find edges? ▼
Because Hungary NB II features a massive 23% gap between home (47%) and away (24%) win rates, the odds landscape is heavily skewed toward the host. This strong home bias often inflates away odds beyond their true probability, creating specific windows for models to identify value on resilient travelers. The odds frequently over-penalize visitors, failing to account for specific tactical matchups that might overcome the league's intense home-field advantage.

Additionally, the 43% Over 2.5 rate compresses odds on low-scoring outcomes, making the "Under" a central pillar of the league's identity. With BTTS at 49%, the odds reflect a toss-up for both teams scoring, yet the low total goal count suggests that "No" on BTTS often carries more weight than the raw percentage implies. Probability is never a certainty; therefore, focusing on these specific data fingerprints and maintaining strict risk management is the only way to navigate this unique landscape.
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