Football · Hungary NB III · 24/10, 13:00

Prediction: Csepel vs Szolnoki Mav FC

Team pages: Szolnoki Mav FC

Prediction summary
Expected goals
3.98Total
Csepel2.32
Szolnoki Mav FC1.65
1X2
52% 22% 26%
Csepel Draw Szolnoki Mav FC
Markets
Over 3.5 goals 56% Both teams to score 61%
Most likely score
2-1 8%
Recent form · 10 last
Csepel 4-4-2 (W-D-L)
WDWWDLDLDW
Szolnoki Mav FC 2-4-4 (W-D-L)
WLDDWDLLDL
Head-to-head
Csepel 0–1 Szolnoki Mav FC (1 last)
  • Csepel3-4Szolnoki Mav FC
Our model (Elo) vs Market Rating Elo · Csepel 1539 · Szolnoki Mav FC 1481
CsepelDrawSzolnoki Mav FC
Our model52%21%27%
Market51%23%26%
Estimated total (ours) 3.98 goals · Bet365 line 3 · +1

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 · 72%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Csepel (rating 1539 vs 1481).
  • Cards-heavy: 8.7 🟨 combined avg.

Statistics · 10/10 matches analysed

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

CsepelSzolnoki Mav FC
Goals for / against (FT)2.4 / 1.61.9 / 2.4
Goals for / against (HT)1.1 / 0.70.8 / 0.7
Half-time result (W/D/L)40/40/20%30/40/30%
Corners (HT / FT)1.3 / 3.93 / 5
Cards (🟨 / 🟥)3.4 / 0.15.3 / 0.7

Head-to-head (H2H) · Csepel 0–0–1 Szolnoki Mav FC

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DateHomeScoreAway
10/09/14
Hungary Cup
Csepel3-4
HT 2-2
Szolnoki Mav FC

Standings · Hungary NB III · NB III 26/27, South East

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#Team PWDL GFGAPts
1 Gyulai Termal 121200 431036
2 ESMTK 12831 331227
3 III Keruleti TUE 12822 16526
4 Szeged-Csanad Grosics II 12552 221520
5 Ujpest II 12543 281819
6 Vasas SC II 12534 251418
7 Csepel 12453 241817
8 FC Dabas 12426 183014
9 Bekescsabai Elore SE 12354 181714
10 Monori SE 12354 222314
11 Szolnoki Mav FC 12354 262814
12 Kispest Honved II 12327 192111
13 Sandorfalvi SK 12318 83010
14 BKV Elore SC 12228 13418
15 Hodmezovasarhelyi 12156 13258
16 Szegedi VSE 12138 15366

Common opponents 6 opponents

How each team fared against the same recent opponents

OpponentCsepelSzolnoki Mav FC
Kispest Honved II 3-1 W 1-0 W
Szegedi VSE 1-1 D 3-3 D
FC Dabas 0-1 L 2-2 D
Szeged-Csanad Grosics II 1-1 D 0-5 L
Bekescsabai Elore SE 2-2 D 2-0 W
ESMTK 2-1 W 2-3 L
Record vs common 2 W 3 D 1 L 2 W 2 D 2 L

Better against common opponents: Csepel (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.

Csepel

WDWWDLDLDW

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Date Opponent HT FT Cor.Cards Res.
18/10 Kispest Honved II
Hungary NB III
1-1 3-1 33 W
10/10 Szegedi VSE
Hungary NB III
0-1 1-1 85 D
04/10 FC Dabas
Hungary NB III
0-0 0-1 54 L
26/09 Szeged-Csanad Grosics II
Hungary NB III
0-0 1-1 44 D
20/09 Vasas SC II
Hungary NB III
0-3 0-6 34 L
05/09 Bekescsabai Elore SE
Hungary NB III
2-1 2-2 00 D
29/08 Sandorfalvi SK
Hungary NB III
3-0 5-1 –– W
26/08 BKV Elore SC
Hungary NB III
3-0 9-1 35 W
15/08 Hodmezovasarhelyi
Hungary NB III
1-0 1-1 –– D
12/08 ESMTK
Hungary NB III
1-1 2-1 53 W

Szolnoki Mav FC

WLDDWDLLDL

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Date Opponent HT FT Cor.Cards Res.
17/10 ESMTK
Hungary NB III
1-1 2-3 –– L
10/10 III Keruleti TUE
Hungary NB III
0-1 1-1 45 D
03/10 Gyulai Termal
Hungary NB III
1-2 3-4 –– L
26/09 Ujpest II
Hungary NB III
0-0 1-2 57 L
19/09 Monori SE
Hungary NB III
2-1 4-4 –– D
05/09 Kispest Honved II
Hungary NB III
0-0 1-0 –– W
29/08 Szegedi VSE
Hungary NB III
2-0 3-3 66 D
26/08 FC Dabas
Hungary NB III
1-1 2-2 –– D
16/08 Szeged-Csanad Grosics II
Hungary NB III
0-1 0-5 –– L
12/08 Bekescsabai Elore SE
Hungary NB III
1-0 2-0 –– W

Frequently asked questions

Who is the favourite in Csepel vs Szolnoki Mav FC?

According to our model, the most likely result is a Csepel win (52%). Probabilities: Csepel 52%, draw 22%, Szolnoki Mav FC 26%.

How many goals are expected in Csepel vs Szolnoki Mav FC?

The model expects 3.98 goals (Csepel 2.32 · Szolnoki Mav FC 1.65), with a 60% chance of over 3 goals.

Will both teams score in Csepel vs Szolnoki Mav FC?

The model gives a 61% chance that both teams score.

What is the most likely score?

The most likely score according to our model is 2-1.