05.09.25 11:00
Finished
1
:
1
(0:0, 1:1)

Stats

Match
1st half
2nd half
Top Stats
5
Total shots
2
 
 
2
Shots on target
2
 
 
2
Corner Kicks
7
 
 
2
Yellow Cards
0
 
 
49
Ball Possession (%)
51
 
 
Preview
Summary
Matches
Trends
Lineups
Based on last 50 matches across all tournaments, up to 09/05/2025
To build a prediction for the Congo - Tanzania match, scheduled for 5 September 2025, several key factors could influence the outcome. Congo have played 2 matches, in which they drew 1 time and lost 1 match. Tanzania, having played 3 matches, won 1 time, drew 1 match and lost 1 defeat. In the league, Congo average 0.5 goals scored per game and 1.5 conceded. Tanzania average 0.7 scored and 0.7 conceded. These sides last met on 18 March 2025 at Tanzania's ground, where the home side came out on top.

Pre-Match Facts

Motivation

Congo - 6/10

Last match - 17 days ago, a defeat against a fierce rival
Nigeria2.5
Draw3.16
Congo3.025
Next match - in 33 days, against a clear favourite
Niger1.84
Draw3.25
Congo4.625

Tanzania - 4/10

Last match - 14 days ago, a defeat as a clear underdog
Tanzania5.13
Draw3.015
Morocco1.912
Next match - in 4 days, against a clear underdog
Tanzania1.78
Draw3.32
Niger5.3

Head-to-Head

Corners
Yellows
Reds

Summary

*Click on a table cell to see a tooltip
Matches
2
3
Wins
0% (0)
33% (1)
Draws
50% (1)
33% (1)
Defeats
50% (1)
33% (1)
Match Total (Avg.)
2
1.3
- Congo value is better
- Tanzania value is better

Streaks

*Matches in a row with a given outcome
Draw Or Defeat
2
2
Both Teams To Score (No)
1
2

Team outcomes

Congo
Tanzania
H2H
Based on number of matches: 2
1 X 2
Draws
50% (1)
Defeats
50% (1)
Double Chance
Wins Or Draws
50% (1)
Wins Or Defeats
50% (1)
Draws Or Defeats
100% (2)
Total
Both Teams To Score
- 0-49%
- 50-79%
- 80-100%

Congo - Tanzania - score, tip, statistics

View the match score for Congo - Tanzania. 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