World Friendlies Clubs
TBA
BK Hacken
W W W D W L
VS
xG 1.50 - 1.25
Toronto FC
D W L W L L

Mathematical Predictions: BK Hacken vs Toronto FC

TOTAL GOALS
Over 2.5
Probability 51.85% Pending
MATCH RESULT
Home Win
Pending

Historical Prediction Track Records

BK Hacken team crest BK Hacken Past Prediction Accuracy

Historical prediction accuracy and match outcomes for BK Hacken
Date Fixture 1X2 O/U 2.5 FT
08 Nov 26 @ AIK Stockholm 2 O2.5 3-2
01 Nov 26 vs IFK Goteborg 1 O2.5 1-0
28 Oct 26 @ IF Brommapojkarna 2 O2.5 0-0
24 Oct 26 vs Degerfors IF 1 U2.5 4-0
18 Oct 26 @ Malmo FF X O2.5 0-1

Toronto FC team crest Toronto FC Past Prediction Accuracy

Historical prediction accuracy and match outcomes for Toronto FC
Date Fixture 1X2 O/U 2.5 FT
07 Nov 26 @ Philadelphia Union 1 O2.5 4-1
01 Nov 26 @ Atlanta United FC X O2.5 3-1
29 Oct 26 vs DC United X O2.5 2-1
24 Oct 26 @ Columbus Crew 1 O2.5 4-2
18 Oct 26 @ New York Red Bulls 1 O2.5 0-2

BK Hacken vs Toronto FC

H2H, Match Stats & Analysis
World Friendlies Clubs
TBA
In their previous 0 head-to-head matches, BK Hacken scored an average of 0.00 goals per match, compared to Toronto FC 0.00 goals.
Over their last 10 matches, BK Hacken scored an average of 2.00 and conceded 2.00, whereas Toronto FC scored 0.50 and conceded 1.00.

What are the expected goals (xG) predicted in BK Hacken vs Toronto FC match?

Based on the H2H and Form statistics, the expected goals (xG) for this match are 1.50 for BK Hacken and 1.25 for Toronto FC. Mathematical prediction based on the algorithm is Over 2.5 with Poisson distribution probability of 51.85%.

H2H - BK Hacken vs. Toronto FC

03 Feb 25
BK Hacken
-
(HT -)
Toronto FC

Team Form (Last 6)

Home Crest BK Hacken

11 Oct vs Orgryte IS 3-0
W
18 Oct @ Malmo FF 0-1
W
24 Oct vs Degerfors IF 4-0
W
28 Oct @ IF Brommapojkarna 0-0
D
01 Nov vs IFK Goteborg 1-0
W
08 Nov @ AIK stockholm 3-2
L

Away Crest Toronto FC

15 Oct vs Orlando City SC 3-3
D
18 Oct @ New York Red Bulls 0-2
W
24 Oct @ Columbus Crew 4-2
L
29 Oct vs DC United 2-1
W
01 Nov @ Atlanta United FC 3-1
L
07 Nov @ Philadelphia Union 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.