Norway Eliteserien
TBA
Start
L L L W L L
1 - 0
xG 1.33 - 2.06
Sandefjord
W D L L W D

Mathematical Predictions: Start vs Sandefjord

TOTAL GOALS
Over 2.5
Probability 65.81% Lost
MATCH RESULT
Away Win
Lost

Historical Prediction Track Records

Start team crest Start Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Start
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Rosenborg 1 O2.5 4-1
01 Nov 26 vs Lillestrom 2 O2.5 0-1
25 Oct 26 vs Sandefjord 2 O2.5 1-0
18 Oct 26 @ Molde 1 O2.5 6-1
11 Oct 26 vs Ham-Kam 1 O2.5 2-4

Sandefjord team crest Sandefjord Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Sandefjord
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs Molde X O2.5 5-5
31 Oct 26 @ Aalesund 2 O2.5 3-4
25 Oct 26 @ Start 2 O2.5 1-0
18 Oct 26 vs Lillestrom X U2.5 0-2
10 Oct 26 @ Rosenborg 1 O2.5 1-1

Start vs Sandefjord

H2H, Match Stats & Analysis
Norway Eliteserien
TBA
In their previous 3 head-to-head matches, Start scored an average of 1.00 goals per match, compared to Sandefjord 2.00 goals.
Over their last 10 matches, Start scored an average of 1.33 and conceded 2.00, whereas Sandefjord scored 1.17 and conceded 1.67.

What are the expected goals (xG) predicted in Start vs Sandefjord match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.33 for Start and 2.06 for Sandefjord. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 65.81%.

H2H - Start vs. Sandefjord

25 Oct 26
Start
1 - 0
(HT 0-0)
Sandefjord
20 Sep 26
Sandefjord
3 - 0
(HT 0-0)
Start
08 Mar 26
Sandefjord
3 - 2
(HT 1-1)
Start

Team Form (Last 6)

Home Crest Start

20 Sep @ Sandefjord 3-0
L
11 Oct vs Ham-Kam 2-4
L
18 Oct @ Molde 6-1
L
25 Oct vs Sandefjord 1-0
W
01 Nov vs Lillestrom 0-1
L
07 Nov @ Rosenborg 4-1
L

Away Crest Sandefjord

20 Sep vs Start 3-0
W
10 Oct @ Rosenborg 1-1
D
18 Oct vs Lillestrom 0-2
L
25 Oct @ Start 1-0
L
31 Oct @ Aalesund 3-4
W
08 Nov vs Molde 5-5
D

Poisson Distribution Algorithm

We utilize a Poisson distribution model to evaluate goal probability (such as the 2.5 threshold) in professional fixtures. By assessing expected offensive and defensive ratings for both home and away sides, our engine calculates precise percentage outcomes for your match predictions.