Levski Sofia vs Kairat Almaty Prediction — Champions League

Levski Sofia
Levski Sofia
35%
1 – 0
FT
Aug 4, 2026
17:30
Kairat Almaty
Kairat Almaty
30%
Levski Sofia Draw Kairat Almaty
Champions League
FT August 4, 2026
Levski Sofia 1 – 0 Kairat Almaty
✓ Our prediction was correct.
Predicted: Levski Sofia — Actual: Levski Sofia
✓ Fewer than 3.5 total goals — Total goals: 1
View our full prediction track record →

Champions League — August 4, 2026 at 17:30

Our Prediction

Levski Sofia to win or draw, with fewer than 3.5 total goals

Predicted Levski Sofia

Win or draw

Win Probability

Levski Sofia35%
Draw35%
Kairat Almaty30%

Goals Prediction

Under/Over-3.5
Levski Sofia-2.5
Kairat Almaty-2.5

Team Comparison

Levski SofiaStatKairat Almaty
47%Form53%
57%Attack43%
40%Defense60%
100%Poisson Distribution0%
0%Head to Head0%
0%Goals0%
48.0%Total52.0%

Levski Sofia vs Kairat Almaty Match Analysis & Prediction

Levski Sofia vs Kairat Almaty — Match Preview & Prediction

Levski Sofia welcome Kairat Almaty at Vivacom Arena Georgi Asparuhov in 3rd Qualifying Round of the Champions League on Tuesday, August 4, 2026. This shapes up as a tightly contested encounter — our model rates it Levski Sofia 35%, Draw 35%, Kairat Almaty 30%, reflecting how closely matched these two sides are.

Levski Sofia and Kairat Almaty Recent Form Analysis

Looking at the underlying numbers, Kairat Almaty have been in better form recently (53%% vs 47%%), Levski Sofia hold the attacking edge (57%%). Additionally, Kairat Almaty are the more solid defensive unit (60%%). Overall, Kairat Almaty edge the statistical comparison.

Levski Sofia vs Kairat Almaty Head-to-Head History

The goals prediction for this match is -3.5. The expected scoreline sits around Levski Sofia -2.5 — Kairat Almaty -2.5, suggesting a cagey encounter with few clear-cut chances.

Tactical Matchup: Levski Sofia vs Kairat Almaty

Our prediction: Levski Sofia to win or draw, with fewer than 3.5 total goals. Levski Sofia are tipped to prevail — Win or draw. As always, these predictions are based on statistical modeling and should be considered alongside your own analysis.