Norway Eliteserien
Lerkendal Stadion
Rosenborg
W D W W W W
4 - 1
xG 2.72 - 0.94
Start
L L L W L L

Mathematical Predictions: Rosenborg vs Start

TOTAL GOALS
Over 2.5
Probability 70.89% Won
MATCH RESULT
Home Win
Won

Historical Prediction Track Records

Rosenborg team crest Rosenborg Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Rosenborg
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 vs Start 1 O2.5 4-1
31 Oct 26 @ Fredrikstad 2 O2.5 0-3
24 Oct 26 @ Ham-Kam 2 O2.5 0-3
18 Oct 26 @ Sarpsborg 08 FF X O2.5 0-3
10 Oct 26 vs Sandefjord 1 O2.5 1-1

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

Rosenborg vs Start

H2H, Match Stats & Analysis
Norway Eliteserien
Lerkendal Stadion
In their previous 3 head-to-head matches, Rosenborg scored an average of 3.00 goals per match, compared to Start 0.67 goals.
Over their last 10 matches, Rosenborg scored an average of 2.67 and conceded 1.67, whereas Start scored 0.67 and conceded 3.00.

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

Based on the H2H and Form statistics, the expected goals (xG) for this match are 2.72 for Rosenborg and 0.94 for Start. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 70.89%.

H2H - Rosenborg vs. Start

07 Nov 26
Rosenborg
4 - 1
(HT 2-0)
Start
18 Jul 26
Start
0 - 3
(HT 0-1)
Rosenborg
24 Feb 26
Rosenborg
2 - 1
(HT 2-0)
Start

Team Form (Last 6)

Home Crest Rosenborg

19 Sep @ Kristiansund BK 1-3
W
10 Oct vs Sandefjord 1-1
D
18 Oct @ Sarpsborg 08 FF 0-3
W
24 Oct @ Ham-Kam 0-3
W
31 Oct @ Fredrikstad 0-3
W
07 Nov vs Start 4-1
W

Away 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

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.