Football · Denmark Superligaen · 30/08, 14:00

Prediction: Silkeborg IF vs Midtjylland

Team pages: Silkeborg IF · Midtjylland

Prediction summary
Expected goals
3.43Total
Silkeborg IF1.12
Midtjylland2.32
1X2
16% 21% 63%
Silkeborg IF Draw Midtjylland
Markets
Under 3.5 goals 55% Both teams to score 56%
Most likely score
1-2 10%
Recent form · 10 last
Silkeborg IF 5-2-3 (W-D-L)
DWLWDWWWLL
Midtjylland 4-5-1 (W-D-L)
DDWWWDDDLW
Head-to-head
Silkeborg IF 0–6 Midtjylland (6 last)
  • Midtjylland4-2Silkeborg IF
  • Silkeborg IF0-4Midtjylland
  • Midtjylland4-0Silkeborg IF
  • Midtjylland4-2Silkeborg IF
  • Midtjylland2-0Silkeborg IF
  • Midtjylland1-0Silkeborg IF
Our model (Elo) vs Market Rating Elo · Silkeborg IF 1486 · Midtjylland 1619
Silkeborg IFDrawMidtjylland
Our model16%21%63%
Market16%21%63%
Estimated total (ours) 3.43 goals · Bet365 line 3 · +0.4

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 · 67%model estimate

Match keys

  • Our model (Elo, opponent-adjusted) favours Midtjylland (rating 1486 vs 1619).
  • H2H favours Midtjylland: 6-0-0.
  • Cards-heavy: 6.5 🟨 combined avg.

Statistics · 10/10 matches analysed

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

Silkeborg IFMidtjylland
Goals for / against (FT)1.7 / 2.21.5 / 1.2
Goals for / against (HT)0.6 / 1.20.7 / 0.4
Half-time result (W/D/L)30/20/50%30/60/10%
Corners (HT / FT)2.1 / 43.2 / 6.4
Cards (🟨 / 🟥)2.3 / 0.24.2 / 0.1

Head-to-head (H2H) · Silkeborg IF 006 Midtjylland

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DateHomeScoreAway
04/07/26
Europe Friendlies
Midtjylland4-2Silkeborg IF
22/02/26
Denmark Superligaen
Silkeborg IF0-4
HT 0-1
Midtjylland
30/10/25
Denmark Cup
Midtjylland4-0
HT 0-0
Silkeborg IF
24/08/25
Denmark Superligaen
Midtjylland4-2
HT 1-1
Silkeborg IF
27/06/25
Europe Friendlies
Midtjylland2-0
HT 2-0
Silkeborg IF
25/11/24
Denmark Superligaen
Midtjylland1-0
HT 1-0
Silkeborg IF

Standings · Denmark Superligaen

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#Team PWDL GFGAPts
1 Viborg 5311 7210
2 FC Nordsjaelland 4310 6110
3 Brondby 4310 7310
4 Midtjylland 4310 7410
5 FC Copenhagen 4301 1079
6 AC Horsens 5212 677
7 Odense BK 5113 464
8 Silkeborg IF 4112 354
9 Randers FC 5113 374
10 AGF Aarhus 4031 673
11 Lyngby 5023 6102
12 Sonderjyske 5014 4101

Last 10 matches played

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

Silkeborg IF

DWLWDWWWLL

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Date Opponent HT FT Cor.Cards Res.
17/05 FC Fredericia
Denmark Superligaen
0-3 1-4 62 L
10/05 FC Copenhagen
Denmark Superligaen
0-2 0-4 21 L
03/05 Odense BK
Denmark Superligaen
1-1 3-2 31 W
26/04 Randers FC
Denmark Superligaen
1-0 2-0 33 W
22/04 Vejle
Denmark Superligaen
0-0 2-1 46 W
19/04 FC Fredericia
Denmark Superligaen
2-0 2-2 51 D
12/04 Odense BK
Denmark Superligaen
0-1 3-1 43 W
05/04 FC Copenhagen
Denmark Superligaen
0-4 0-7 32 L
22/03 Randers FC
Denmark Superligaen
2-0 3-0 32 W
16/03 Vejle
Denmark Superligaen
0-1 1-1 74 D

Midtjylland

DDWWWDDDLW

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Date Opponent HT FT Cor.Cards Res.
23/08 Randers FC
Denmark Superligaen
1-0 1-0 103 W
17/05 Brondby
Denmark Superligaen
2-0 2-3 55 L
10/05 FC Nordsjaelland
Denmark Superligaen
0-0 0-0 34 D
04/05 Viborg
Denmark Superligaen
2-2 3-3 83 D
26/04 AGF Aarhus
Denmark Superligaen
0-0 0-0 33 D
23/04 Sonderjyske
Denmark Superligaen
1-1 2-1 85 W
20/04 AGF Aarhus
Denmark Superligaen
0-1 2-1 34 W
12/04 Brondby
Denmark Superligaen
0-0 2-1 97 W
04/04 Sonderjyske
Denmark Superligaen
1-0 2-2 95 D
22/03 Viborg
Denmark Superligaen
0-0 1-1 64 D

Frequently asked questions

Who is the favourite in Silkeborg IF vs Midtjylland?

According to our model, the most likely result is an Midtjylland win (63%). Probabilities: Silkeborg IF 16%, draw 21%, Midtjylland 63%.

How many goals are expected in Silkeborg IF vs Midtjylland?

The model expects 3.43 goals (Silkeborg IF 1.12 · Midtjylland 2.32), with a 54% chance of over 3 goals.

Will both teams score in Silkeborg IF vs Midtjylland?

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 1-2.