Football · Denmark Superligaen · 07/08, 19:00

Prediction: Sonderjyske vs Viborg

Team pages: Sonderjyske · Viborg

Prediction summary
Expected goals
2.81Total
Sonderjyske1.29
Viborg1.52
1X2
32% 27% 42%
Sonderjyske Draw Viborg
Markets
Over 2.5 goals 53% Both teams to score 55%
Most likely score
1-1
Recent form · 10 last
Sonderjyske 4-1-5 (W-D-L)
LLWLWLWDWL
Viborg 3-2-5 (W-D-L)
WDLLDLWLWL
Head-to-head
Sonderjyske 1–2–3 Viborg (6 last)
  • Viborg0-1Sonderjyske
  • Sonderjyske0-2Viborg
  • Sonderjyske2-2Viborg
  • Viborg1-0Sonderjyske
  • Sonderjyske2-2Viborg
  • Viborg2-1Sonderjyske
Our model (Elo) vs Market Rating Elo · Sonderjyske 1480 · Viborg 1499
SonderjyskeDrawViborg
Our model31%27%41%
Market32%26%42%
Estimated total (ours) 2.81 goals · Bet365 line 2.75

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 · 61%model estimate

Match keys

  • H2H favours Viborg: 3-2-1.
  • Cards-heavy: 5.9 🟨 combined avg.

Statistics · 10/10 matches analysed

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

SonderjyskeViborg
Goals for / against (FT)1.5 / 21.2 / 1.7
Goals for / against (HT)0.8 / 1.10.7 / 0.8
Half-time result (W/D/L)20/60/20%10/80/10%
Corners (HT / FT)1.8 / 3.42.1 / 4.4
Cards (🟨 / 🟥)2.9 / 03 / 0

Head-to-head (H2H) · Sonderjyske 123 Viborg

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DateHomeScoreAway
08/05/26
Denmark Superligaen
Viborg0-1
HT 0-0
Sonderjyske
12/04/26
Denmark Superligaen
Sonderjyske0-2
HT 0-0
Viborg
28/11/25
Denmark Superligaen
Sonderjyske2-2
HT 1-0
Viborg
08/08/25
Denmark Superligaen
Viborg1-0
HT 1-0
Sonderjyske
27/04/25
Denmark Superligaen
Sonderjyske2-2
HT 2-0
Viborg
06/04/25
Denmark Superligaen
Viborg2-1
HT 1-1
Sonderjyske

Standings · Denmark Superligaen

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#Team PWDL GFGAPts
1 FC Copenhagen 1100 323
1 Midtjylland 1100 323
3 Viborg 1100 103
4 AGF Aarhus 2020 332
5 AC Horsens 1010 111
5 Brondby 1010 111
5 FC Nordsjaelland 1010 111
5 Randers FC 1010 111
5 Silkeborg IF 1010 111
10 Lyngby 2011 451
11 Sonderjyske 1001 230
12 Odense BK 1001 010

Common opponents 4 opponents

How each team fared against the same recent opponents

OpponentSonderjyskeViborg
Midtjylland 2-3 L 3-3 D
FC Nordsjaelland 1-4 L 1-0 W
AGF Aarhus 1-2 L 1-1 D
Brondby 3-0 W 0-1 L
Record vs common 1 W 0 D 3 L 1 W 2 D 1 L

Better against common opponents: Viborg (3 of 4 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.

Sonderjyske

LLWLWLWDWL

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Date Opponent HT FT Cor.Cards Res.
26/07 Midtjylland
Denmark Superligaen
2-2 2-3 53 L
17/07 Kolding IF
Europe Friendlies
0-0 1-0 W
03/07 Viking FK
Europe Friendlies
1-1 1-1 D
26/06 Randers FC
Europe Friendlies
2-1 4-2 22 W
17/05 FC Nordsjaelland
Denmark Superligaen
0-3 1-4 33 L
08/05 Viborg
Denmark Superligaen
0-0 1-0 01 W
03/05 AGF Aarhus
Denmark Superligaen
0-0 1-2 52 L
26/04 Brondby
Denmark Superligaen
2-0 3-0 43 W
23/04 Midtjylland
Denmark Superligaen
1-1 1-2 35 L
17/04 Brondby
Denmark Superligaen
0-3 0-6 54 L

Viborg

WDLLDLWLWL

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Date Opponent HT FT Cor.Cards Res.
02/08 Brondby
Denmark Superligaen
0-0 0-1 35 L
24/07 Odense BK
Denmark Superligaen
0-0 1-0 73 W
16/07 FC Copenhagen
Europe Friendlies
1-1 1-2 12 L
11/07 Notts County
Europe Friendlies
0-0 2-0 45 W
03/07 AaB
Europe Friendlies
1-1 1-3 92 L
27/06 AGF Aarhus
Europe Friendlies
1-1 1-1 41 D
17/05 AGF Aarhus
Denmark Superligaen
1-3 2-6 24 L
08/05 Sonderjyske
Denmark Superligaen
0-0 0-1 81 L
04/05 Midtjylland
Denmark Superligaen
2-2 3-3 03 D
26/04 FC Nordsjaelland
Denmark Superligaen
1-0 1-0 64 W

Frequently asked questions

Who is the favourite in Sonderjyske vs Viborg?

According to our model, the most likely result is an Viborg win (42%). Probabilities: Sonderjyske 32%, draw 27%, Viborg 42%.

How many goals are expected in Sonderjyske vs Viborg?

The model expects 2.81 goals (Sonderjyske 1.29 · Viborg 1.52), with a 50% chance of over 2.75 goals.

Will both teams score in Sonderjyske vs Viborg?

The model gives a 55% chance that both teams score.

What is the most likely score?

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