Football · Norway Eliteserien · 06/09, 17:00

Prediction: Sarpsborg vs Valerenga

Team pages: Sarpsborg · Valerenga

Prediction summary
Expected goals
3.49Total
Sarpsborg1.98
Valerenga1.51
1X2
48% 24% 29%
Sarpsborg Draw Valerenga
Markets
Under 3.5 goals 54% Both teams to score 59%
Most likely score
1-1 10%
Recent form · 10 last
Sarpsborg 4-3-3 (W-D-L)
LWWWDWDLLD
Valerenga 4-1-5 (W-D-L)
WLWLWWLLDL
Head-to-head
Sarpsborg 0–1–5 Valerenga (6 last)
  • Valerenga3-2Sarpsborg
  • Valerenga4-0Sarpsborg
  • Valerenga4-1Sarpsborg
  • Sarpsborg1-1Valerenga
  • Valerenga1-0Sarpsborg
  • Valerenga5-3Sarpsborg
Model analysis
1st-half goalsOver 1.5 · 77%model estimate

Match keys

  • H2H favours Valerenga: 5-1-0.
  • Cards-heavy: 5.4 🟨 combined avg.

Statistics · 10/10 matches analysed

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

SarpsborgValerenga
Goals for / against (FT)1.3 / 1.22.4 / 2.6
Goals for / against (HT)0.9 / 0.71.4 / 1.7
Half-time result (W/D/L)30/60/10%30/10/60%
Corners (HT / FT)1.8 / 42.6 / 6.1
Cards (🟨 / 🟥)3.3 / 02.1 / 0.2

Head-to-head (H2H) · Sarpsborg 015 Valerenga

Swipe the table sideways →

DateHomeScoreAway
16/05/26
Norway Eliteserien
Valerenga3-2
HT 2-2
Sarpsborg
17/08/25
Norway Eliteserien
Valerenga4-0
HT 2-0
Sarpsborg
13/06/25
Europe Friendlies
Valerenga4-1
HT 2-1
Sarpsborg
06/04/25
Norway Eliteserien
Sarpsborg1-1
HT 0-1
Valerenga
01/02/25
Europe Friendlies
Valerenga1-0
HT 0-0
Sarpsborg
09/03/24
Europe Friendlies
Valerenga5-3
HT 2-1
Sarpsborg

Standings · Norway Eliteserien

Swipe the table sideways →

#Team PWDL GFGAPts
1 Bodo/Glimt 181422 471444
2 Viking FK 181413 421843
3 Tromso 181053 342035
4 Molde 18936 362930
5 SK Brann 18828 362726
6 Lillestrom 18828 242526
7 Fredrikstad 18828 222826
8 Rosenborg 18738 272624
9 Sarpsborg 18657 202323
10 Ham-Kam 18657 263223
11 Valerenga 18639 313821
12 Sandefjord 18549 152319
13 KFUM 18549 203119
14 Kristiansund BK 184410 172916
15 Aalesund 18297 284315
16 IK Start 183411 203913

Common opponents 5 opponents

How each team fared against the same recent opponents

OpponentSarpsborgValerenga
Tromso 0-0 D 0-4 L
Molde 3-3 D 3-4 L
Ham-Kam 1-0 W 0-3 L
Kristiansund BK 0-0 D 3-1 W
SK Brann 2-1 W 3-2 W
Record vs common 2 W 3 D 0 L 2 W 0 D 3 L

Better against common opponents: Sarpsborg (3 of 5 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.

Sarpsborg

LWWWDWDLLD

Swipe the table sideways →

Date Opponent HT FT Cor.Cards Res.
30/08 Tromso
Norway Eliteserien
0-0 0-0 33 D
16/08 Sandefjord
Norway Eliteserien
1-1 1-2 44 L
08/08 Viking FK
Norway Eliteserien
0-1 1-2 85 L
02/08 Molde
Norway Eliteserien
1-1 3-3 42 D
26/07 Ham-Kam
Norway Eliteserien
1-0 1-0 46 W
18/07 Kristiansund BK
Norway Eliteserien
0-0 0-0 74 D
12/07 Viking FK
Norway Eliteserien
1-0 1-0 32 W
29/05 SK Brann
Norway Eliteserien
2-1 2-1 54 W
25/05 Molde
Norway Eliteserien
1-1 2-1 22 W
16/05 Valerenga
Norway Eliteserien
2-2 2-3 01 L

Valerenga

WLWLWWLLDL

Swipe the table sideways →

Date Opponent HT FT Cor.Cards Res.
30/08 Molde
Norway Eliteserien
3-4 3-4 55 L
16/08 Aalesund
Norway Eliteserien
2-4 5-5 51 D
08/08 Bodo/Glimt
Norway Eliteserien
0-1 1-2 81 L
31/07 Ham-Kam
Norway Eliteserien
0-1 0-3 35 L
26/07 SK Brann
Norway Eliteserien
3-0 3-2 65 W
16/07 Aalesund
Norway Eliteserien
3-0 6-1 80 W
11/07 Tromso
Norway Eliteserien
0-3 0-4 72 L
29/05 Kristiansund BK
Norway Eliteserien
1-0 3-1 52 W
25/05 IK Start
Norway Eliteserien
0-2 0-2 71 L
16/05 Sarpsborg
Norway Eliteserien
2-2 3-2 71 W

Frequently asked questions

Who is the favourite in Sarpsborg vs Valerenga?

According to our model, the most likely result is a Sarpsborg win (48%). Probabilities: Sarpsborg 48%, draw 24%, Valerenga 29%.

How many goals are expected in Sarpsborg vs Valerenga?

The model expects 3.49 goals (Sarpsborg 1.98 · Valerenga 1.51), with a 52% chance of over 3.25 goals.

Will both teams score in Sarpsborg vs Valerenga?

The model gives a 59% chance that both teams score.

What is the most likely score?

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