Football · Hungary NB II · 01/11, 13:00

Prediction: FC Nagykanizsa vs Szeged-Csanad Grosics

Team pages: FC Nagykanizsa · Szeged-Csanad Grosics

Prediction summary
Expected goals
2.24Total
FC Nagykanizsa0.88
Szeged-Csanad Grosics1.36
1X2
24% 28% 48%
FC Nagykanizsa Draw Szeged-Csanad Grosics
Markets
Under 2.5 goals 56% Both teams to score 50%
Most likely score
1-1 14%
Recent form · 10 last
FC Nagykanizsa 3-0-7 (W-D-L)
WLLLLWWLLL
Szeged-Csanad Grosics 2-4-4 (W-D-L)
DLLWDDLDWL
Our model (Elo) vs Market Rating Elo · FC Nagykanizsa 1451 · Szeged-Csanad Grosics 1498
FC NagykanizsaDrawSzeged-Csanad Grosics
Our model23%30%47%
Market25%26%49%
Estimated total (ours) 2.24 goals · Bet365 line 2.5 · -0.3

The bar above blends our model with the market: where our probability diverges most from the odds is where the model sees the widest gap.

Model analysis
1st-half goalsUnder 1.5 · 55%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Szeged-Csanad Grosics (rating 1451 vs 1498).
  • Cards-heavy: 12.2 🟨 combined avg.

Statistics · 10/10 matches analysed

F = for · A = against · HT = half-time · FT = full-time

FC NagykanizsaSzeged-Csanad Grosics
Goals for / against (FT)0.6 / 1.31 / 1.4
Goals for / against (HT)0.4 / 0.60.4 / 0.8
Half-time result (W/D/L)10/60/30%10/50/40%
Corners (HT / FT)2.7 / 4.93 / 5.4
Cards (🟨 / 🟥)5.7 / 0.26.5 / 0.5

Standings · Hungary NB II

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#Team PWDL GFGAPts
1 Soroksar 11731 291524
2 Kecskemeti TE 11722 231423
3 Tiszakecske FC 11650 241523
4 Mezokovesd Zsory 11623 201120
5 Gyirmot SE 11623 191820
6 Kazincbarcikai BSC 11551 201420
7 FC Ajka 11533 161418
8 Diosgyori VTK 11434 171915
9 Szentlorinc SE 11425 121514
10 Fehervar FC 11407 151412
11 BVSC Zuglo 10325 131411
12 Karcagi SE 11254 162111
13 Szeged-Csanad Grosics 10244 101410
14 FC Nagykanizsa 11308 8169
15 Kozarmisleny SE 11218 9207
16 Csakvari TK 11119 9264

Common opponents 6 opponents

How each team fared against the same recent opponents

OpponentFC NagykanizsaSzeged-Csanad Grosics
Kazincbarcikai BSC 1-2 L 1-1 D
Kozarmisleny SE 0-3 L 2-1 W
Gyirmot SE 0-1 L 0-1 L
Fehervar FC 1-0 W 0-1 L
Tiszakecske FC 1-2 L 1-1 D
Csakvari TK 2-1 W 2-2 D
Record vs common 2 W 0 D 4 L 1 W 3 D 2 L

Better against common opponents: Szeged-Csanad Grosics (3 of 6 head-to-heads won)

Last 10 matches played

The averages above come from these matches. W = win, D = draw, L = loss. Common opponents to both are in blue.

FC Nagykanizsa

WLLLLWWLLL

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Date Opponent HT FT Cor.Cards Res.
24/10 Kazincbarcikai BSC
Hungary NB II
1-1 1-2 –– L
17/10 Kozarmisleny SE
Hungary NB II
0-0 0-3 86 L
10/10 Gyirmot SE
Hungary NB II
0-1 0-1 34 L
19/09 Fehervar FC
Hungary NB II
0-0 1-0 65 W
05/09 BVSC Zuglo
Hungary NB II
1-0 1-0 22 W
29/08 Tiszakecske FC
Hungary NB II
1-1 1-2 46 L
22/08 FC Ajka
Hungary NB II
0-1 0-2 88 L
15/08 Soroksar
Hungary NB II
0-1 0-1 38 L
09/08 Szentlorinc SE
Hungary NB II
0-0 0-1 76 L
02/08 Csakvari TK
Hungary NB II
1-1 2-1 38 W

Szeged-Csanad Grosics

DLLWDDLDWL

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Date Opponent HT FT Cor.Cards Res.
24/10 Diosgyori VTK
Hungary NB II
1-3 1-4 34 L
18/10 Karcagi SE
Hungary NB II
0-0 2-1 46 W
10/10 Mezokovesd Zsory
Hungary NB II
0-1 1-1 55 D
19/09 Kecskemeti TE
Hungary NB II
0-0 0-1 –– L
06/09 Csakvari TK
Hungary NB II
2-1 2-2 76 D
31/08 Kazincbarcikai BSC
Hungary NB II
1-1 1-1 49 D
22/08 Kozarmisleny SE
Hungary NB II
0-1 2-1 84 W
15/08 Gyirmot SE
Hungary NB II
0-0 0-1 57 L
08/08 Fehervar FC
Hungary NB II
0-0 0-1 715 L
25/07 Tiszakecske FC
Hungary NB II
0-1 1-1 –– D

Frequently asked questions

Who is the favourite in FC Nagykanizsa vs Szeged-Csanad Grosics?

According to our model, the most likely result is an Szeged-Csanad Grosics win (48%). Probabilities: FC Nagykanizsa 24%, draw 28%, Szeged-Csanad Grosics 48%.

How many goals are expected in FC Nagykanizsa vs Szeged-Csanad Grosics?

The model expects 2.24 goals (FC Nagykanizsa 0.88 · Szeged-Csanad Grosics 1.36), with a 56% chance of under 2.5 goals.

Will both teams score in FC Nagykanizsa vs Szeged-Csanad Grosics?

The model gives a 50% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 1-1.