11.10.26 08:00
Finished
0
:
0
(0:0, 0:0)
Preview
Summary
Matches
Trends
Standings
Based on last 50 matches in "Uganda. Big League", up to 10/11/2026
To build a prediction for the Calvary - Amus College match, scheduled for 11 October 2026, several key factors could influence the outcome. Calvary have played 50 matches, in which they won 22 of them, drew 12 times and lost 16 matches. Amus College, having played 1 match, won it.

Pre-Match Facts

Main
Motivation
Calvary won in 6 out of 8 last matches.
9 out of 10 last matches involving Calvary did not end in a draw.
In 10 last matches involving Calvary, at least one team did not score.
Calvary does not lose by more than 1 goal in 24 out of 27 last matches.
Calvary does not concede in 23 out of 35 last matches.
Calvary scores under 2 goals in 8 out of 10 last matches.
Calvary concedes under 2 goals in 8 out of 10 last matches.
In 47 out of 50 last matches involving Calvary, over under 4 goals were scored.
In 6 last matches involving Calvary, a draw was recorded in the second half.
Calvary won in 6 home matches straight.

Summary

*Click on a table cell to see a tooltip
Matches
50
1
Wins
44% (22)
100% (1)
Draws
24% (12)
0% (0)
Defeats
32% (16)
0% (0)
Match Total (Avg.)
1.7
3
- Calvary value is better
- Amus College value is better

Trends

*Click on a trend to see details
Win Or Defeat
9 / 10
—
Both Teams To Score (No)
38 / 50
—
Win To Nil (Yes)
11 / 19
—

Streaks

*Matches in a row with a given outcome
Win Or Defeat
3
1
Both Teams To Score (No)
10
1

Team outcomes

Calvary
Amus College
H2H
Based on number of matches: 50
1 X 2
Wins
44% (22)
Draws
24% (12)
Defeats
32% (16)
Double Chance
Wins Or Draws
68% (34)
Wins Or Defeats
76% (38)
Draws Or Defeats
56% (28)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Calvary - Amus College - score, tip, statistics

View the match score for Calvary - Amus College. We've compiled statistics that will help you conduct mathematical analysis and make a prediction.

Other useful information:
  1. Instant match results
  2. Referee statistics and cards
  3. Mathematical analysis tools for matches
  4. Individual statistics of teams and players
  5. Football statistics