Match analysis
Cape Verde vs Saudi Arabia 
Match forecast and score distribution for Match 65, Group H, generated from the current simulator ratings.
Forecast last updated:
Goal bands
Total goals distribution
0 11.8%
1 25.5%
2 27.2%
3 19.0%
4 10.0%
5+ 6.4%
Goal thresholds
Total-goal thresholds
Total 0.5 At least 88.2% Below 11.8%
Total 1.5 At least 62.7% Below 37.3%
Total 2.5 At least 35.4% Below 64.6%
Total 3.5 At least 16.4% Below 83.6%
Total 4.5 At least 6.4% Below 93.6%
Team goals
Cape Verde goal thresholds
Cape Verde 0.5 At least 66.8% Below 33.3%
Cape Verde 1.5 At least 29.9% Below 70.1%
Cape Verde 2.5 At least 9.8% Below 90.2%
Cape Verde 3.5 At least 2.4% Below 97.6%
Cape Verde 4.5 At least 0.5% Below 99.5%
Team goals
Saudi Arabia goal thresholds
Saudi Arabia 0.5 At least 64.6% Below 35.4%
Saudi Arabia 1.5 At least 27.1% Below 72.9%
Saudi Arabia 2.5 At least 8.3% Below 91.7%
Saudi Arabia 3.5 At least 2.0% Below 98.0%
Saudi Arabia 4.5 At least 0.4% Below 99.6%
Scoring frequency
Both teams scoring
Both teams score 43.1%
Cape Verde clean sheet 35.4%
Saudi Arabia clean sheet 33.3%
Common scorelines
Top exact scores
1 Cape Verde 1-1 Saudi Arabia 13.8%
2 Cape Verde 1-0 Saudi Arabia 13.0%
3 Cape Verde 0-1 Saudi Arabia 12.6%
4 Cape Verde 0-0 Saudi Arabia 11.8%
5 Cape Verde 2-1 Saudi Arabia 7.6%
6 Cape Verde 2-0 Saudi Arabia 7.2%
7 Cape Verde 1-2 Saudi Arabia 6.9%
8 Cape Verde 0-2 Saudi Arabia 6.2%
9 Cape Verde 2-2 Saudi Arabia 3.7%
10 Cape Verde 3-1 Saudi Arabia 2.7%
Guide
What this simulation preview shows
This page is a direct match simulation reference for one fixture. It uses the simulator's current team ratings and venue context to estimate score patterns, not a full tournament-path run.
Score distribution
How to read the numbers
Average score is the mean goals per team across all runs. Total-goal bands group matches by combined goals, both-team scoring frequency shows how often each side scores at least once, and common scorelines show the most frequent exact results in the sample.
Model note
Simulation reference, not certainty
A real match can land far away from the most common model outcomes. Use these outputs as a way to understand the range of plausible scorelines, not as a guarantee.