Mardan Stadyumu
Ham-Kam
L W L L D W
VS
xG 1.17 - 1.42
Shakhtar Donetsk
W D D W L L

Mathematical Predictions: Ham-Kam vs Shakhtar Donetsk

TOTAL GOALS
Under 2.5
Probability 52.26% Pending
MATCH RESULT
Draw
Pending

Historical Prediction Track Records

Ham-Kam team crest Ham-Kam Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Ham-Kam
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 vs Sarpsborg 08 FF 2 O2.5 3-0
01 Nov 26 @ KFUM Oslo X O2.5 2-2
24 Oct 26 vs Rosenborg 2 O2.5 0-3
17 Oct 26 vs Bodo/Glimt 2 O2.5 0-2
11 Oct 26 @ Start 1 O2.5 2-4

Shakhtar Donetsk team crest Shakhtar Donetsk Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Shakhtar Donetsk
Date Fixture 1X2 O/U 2.5 FT
03 Nov 26 vs Sporting CP X O2.5 0-1
21 Oct 26 @ Inter 1 O2.5 1-0
14 Oct 26 vs AEK Athens FC 1 O2.5 3-1
10 Sep 26 @ PSV Eindhoven 1 O2.5 1-1
26 Jul 26 @ Bursaspor X U2.5 0-0

Ham-Kam vs Shakhtar Donetsk

H2H, Match Stats & Analysis
Mardan Stadyumu
In their previous 0 head-to-head matches, Ham-Kam scored an average of 0.00 goals per match, compared to Shakhtar Donetsk 0.00 goals.
Over their last 10 matches, Ham-Kam scored an average of 1.83 and conceded 0.83, whereas Shakhtar Donetsk scored 2.00 and conceded 0.50.

What are the expected goals (xG) predicted in Ham-Kam vs Shakhtar Donetsk match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.17 for Ham-Kam and 1.42 for Shakhtar Donetsk. Mathematical prediction based on the algorithm is Under 2.5 with Poisson distribution probability of 52.26%.

H2H - Ham-Kam vs. Shakhtar Donetsk

08 Feb 25
Ham-Kam
-
(HT -)
Shakhtar Donetsk

Team Form (Last 6)

Home Crest Ham-Kam

20 Sep @ Tromso 3-2
L
11 Oct @ Start 2-4
W
17 Oct vs Bodo/Glimt 0-2
L
24 Oct vs Rosenborg 0-3
L
01 Nov @ KFUM Oslo 2-2
D
08 Nov vs Sarpsborg 08 FF 3-0
W

Away Crest Shakhtar Donetsk

23 Jul @ HNK Gorica 0-2
W
26 Jul @ Bursaspor 0-0
D
10 Sep @ PSV Eindhoven 1-1
D
14 Oct vs AEK Athens FC 3-1
W
21 Oct @ Inter 1-0
L
03 Nov vs Sporting CP 0-1
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.