Football · Hungary NB III · 15/08, 17:30

Prediction: SC Sopron vs FC Tatabanya

Team pages: SC Sopron · FC Tatabanya

Prediction summary
Expected goals
3.13Total
SC Sopron1.11
FC Tatabanya2.02
1X2
20% 23% 58%
SC Sopron Draw FC Tatabanya
Markets
Under 3.5 goals 62% Both teams to score 56%
Most likely score
1-1
Recent form · 10 last
SC Sopron 4-3-3 (W-D-L)
DLWLLDDWWW
FC Tatabanya 8-0-2 (W-D-L)
WWWWLWWLWW
Head-to-head
SC Sopron 1–1–2 FC Tatabanya (4 last)
  • FC Tatabanya1-1SC Sopron
  • SC Sopron3-2FC Tatabanya
  • FC Tatabanya2-1SC Sopron
  • FC Tatabanya3-1SC Sopron
Our model (Elo) vs Market Rating Elo · SC Sopron 1514 · FC Tatabanya 1587
SC SopronDrawFC Tatabanya
Our model19%23%57%
Market20%22%58%
Estimated total (ours) 3.13 goals · Bet365 line 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 goalsOver 1.5 · 55%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours FC Tatabanya (rating 1514 vs 1587).
  • H2H favours FC Tatabanya: 2-1-1.
  • Cards-heavy: 7.8 🟨 combined avg.

Statistics · 10/10 matches analysed

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

SC SopronFC Tatabanya
Goals for / against (FT)1.6 / 1.82.9 / 1
Goals for / against (HT)0.6 / 0.71 / 0.3
Half-time result (W/D/L)20/50/30%50/40/10%
Corners (HT / FT)2.5 / 4.42.7 / 5.3
Cards (🟨 / 🟥)3 / 0.14.8 / 0.2

Head-to-head (H2H) · SC Sopron 112 FC Tatabanya

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DateHomeScoreAway
23/11/25
Hungary NB III
FC Tatabanya1-1
HT 0-0
SC Sopron
06/08/25
Hungary NB III
SC Sopron3-2
HT 1-0
FC Tatabanya
29/10/23
Hungary NB III
FC Tatabanya2-1
HT 1-1
SC Sopron
21/03/21
Hungary NB III
FC Tatabanya3-1
HT 1-1
SC Sopron

Standings · Hungary NB III · NB III 26/27, North West

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#Team PWDL GFGAPts
1 MTE 1904 3300 729
2 Dorogi FC 3210 1017
3 Szombathelyi Mav Haladas VSE 3210 937
4 Komarom VSE 3210 647
5 SC Sopron 3210 537
6 FC Tatabanya 3201 836
7 Kiraly SZE 3111 334
7 Papai Perutz 3111 334
9 Veszprem FC 3111 484
10 Györi ETO II 3102 453
11 Bicskei TC 3102 573
12 Zalaegerszegi TE II 3102 463
13 Sarisapi BSE 3102 473
14 1908 SZAC Budapest 3012 241
15 Puskas Academy II 3003 280
16 Balatonalmadi SE 3003 2110

Common opponents 4 opponents

How each team fared against the same recent opponents

OpponentSC SopronFC Tatabanya
Györi ETO II 1-0 W 1-2 L
Bicskei TC 3-2 W 3-1 W
Gyirmot SE 1-1 D 0-4 L
Dorogi FC 2-1 W 2-0 W
Record vs common 3 W 1 D 0 L 2 W 0 D 2 L

Last 10 matches played

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

SC Sopron

DLWLLDDWWW

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Date Opponent HT FT Cor.Cards Res.
12/08 Györi ETO II
Hungary NB III
0-0 1-0 55 W
08/08 Bicskei TC
Hungary NB III
1-2 3-2 54 W
02/08 Zalaszentgroti VFC
Hungary Cup
0-0 1-0 43 W
26/07 Szombathelyi Mav Haladas VSE
Hungary NB III
1-0 1-1 48 D
18/07 Gyirmot SE
Europe Friendlies
0-1 1-1 40 D
08/07 FC Ajka
Europe Friendlies
1-0 1-3 10 L
22/05 Györi ETO II
Hungary NB III
1-1 2-3 72 L
17/05 Dorogi FC
Hungary NB III
0-0 2-1 53 W
10/05 Bicskei TC
Hungary NB III
1-2 2-5 L
03/05 Veszprem FC
Hungary NB III
1-1 2-2 D

FC Tatabanya

WWWWLWWLWW

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Date Opponent HT FT Cor.Cards Res.
12/08 Bicskei TC
Hungary NB III
0-0 3-1 33 W
09/08 Puskas Academy II
Hungary NB III
0-0 4-0 74 W
26/07 Györi ETO II
Hungary NB III
0-0 1-2 103 L
24/05 Balatonfuredi FC
Hungary NB III
1-0 3-0 55 W
17/05 MTE 1904
Hungary NB III
0-0 1-0 77 W
10/05 Gyirmot SE
Hungary NB III
0-2 0-4 49 L
03/05 Györi ETO II
Hungary NB III
2-0 4-0 35 W
25/04 Dorogi FC
Hungary NB III
1-0 2-0 57 W
19/04 Bicskei TC
Hungary NB III
3-0 6-0 42 W
15/04 Zsambeki SK
Hungary NB III
3-1 5-3 W

Frequently asked questions

Who is the favourite in SC Sopron vs FC Tatabanya?

According to our model, the most likely result is an FC Tatabanya win (58%). Probabilities: SC Sopron 20%, draw 23%, FC Tatabanya 58%.

How many goals are expected in SC Sopron vs FC Tatabanya?

The model expects 3.13 goals (SC Sopron 1.11 · FC Tatabanya 2.02), with a 51% chance of over 3 goals.

Will both teams score in SC Sopron vs FC Tatabanya?

The model gives a 56% chance that both teams score.

What is the most likely score?

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