Nyíregyháza Spartacus vs Kazincbarcika — Statistical Analysis, Historical Data & AI Match Projections

NB I2026-05-15 · 18:45

Nyíregyháza Spartacus€8.03m

1 – 1

1–0-1

Alternative high-probability score range based on the stats. The main score above remains the primary StatsBrain AI statistical projection.

Kazincbarcika€4.83m

StatsBrain AI: Nyíregyháza Spartacus · 45% confidence

Match Statistics

1Goals1

56Possession %44

1.45xG0.90

18Total Shots8

5Shots on Target3

63Dangerous Attacks33

8Corners3

AI Insights

⚡ Action-packed: Both teams scored in 6 of Nyíregyháza Spartacus's last 7 matches.

⚡ Goal-fest: 6 of Kazincbarcika's last 7 fixtures featured over 2.5 goals.

⚡ Offensive consistency: Nyíregyháza Spartacus has scored at least one goal in all of their last 5 matches.

Statistical Scenarios

Maximum Probability

No Maximum Probability

Mathematical Opportunity

No Mathematical Opportunity

Combined Projection

Under 3.5 Goals74%

Head to Head

3 matches

1Nyíregyháza

1Draws

1Kazincbarcika

2026-05-15

Nyíregyháza Spartacus

2 – 2

Kazincbarcika

NB I

2026-02-15

Kazincbarcika

0 – 4

Nyíregyháza Spartacus

Liga 334

2025-10-25

Nyíregyháza Spartacus

0 – 1

Kazincbarcika

Liga 334

League Standings

Nyíregyháza Spartacus9/12Kazincbarcika12/12

#	Team	MP	W	D	L	Goals	Pts	Form
1	Győri ETO	32	19	9	4	64:30	66	WWWDW
2	Ferencvárosi	32	20	5	7	64:31	65	WWLWW
3	Paksi SE	32	14	8	10	60:45	50	WLWLW
4	Debrecen	32	13	11	8	49:40	50	LDWDL
5	Zalaegerszegi TE	32	13	9	10	49:40	48	WLWLL
6	Puskás	32	13	6	13	41:41	45	LLLWW
7	Újpest	32	11	7	14	47:55	40	DWWLL
8	Várda SE	32	11	7	14	36:48	40	LDLLL
9	Nyíregyháza Spartacus	32	10	9	13	45:55	39	LWLWD
10	MTK	32	9	10	13	53:60	37	DWWDD
11	Diósgyőr	32	6	10	16	38:62	28	LLLWL
12	Kazincbarcika	32	6	3	23	29:68	21	LLLDW

Performance Radar

Nyíregyháza Spartacus

Kazincbarcika

Metric

Home

Away

Possession

56%

44%

xG

1.45

0.90

Shots on Target

5

3

Danger. Attacks

63

33

Corners

8

3

Analysis and simulations are produced by the StatsBrain AI engine and reviewed by our editorial team. Learn how we model outcomes in our methodology and who publishes StatsBrain on About.