Azam - Pamba Jiji 14.05.2026 18:30: score, statistics, forecasts
Finished
2
0
1st half :
2nd half :
14.05.2026 18:30
Ligi kuu Bara
Regular Season - 23 | 2025 | Tanzania
Overview
Statistics, predictions, and trends for the match
Live center
Match statistics, events, and team lineups
Probabilities
Bet probabilities based on a sample of teams, referee and head-to-head history
Teams
Detailed Smart Tables with Filters
AI match predictions
AI prediction for this match is in this tab
Personal Meetings
Head 2 Head matches statistics between teams
Meeting Statistics
Average figures for head-to-head meetings
Metric
Home
Away
Avg. goals per match
1.95
1.95
Avg. corners per match
10.25
0
Avg. yellow cards per match
3.5
0
Avg. red cards per match
0
0
Key trends
↓Azam: In 20 matches in a row, a total of no more than 5 goals is scored
↓Azam: 20 matches in a row, no red card has been shown to either the team or their opponents
↓Azam: Judging by recent matches, Azam" sometimes wins, sometimes loses, sometimes draws — everything is unstable
↓Azam: In 20 matches in a row "Azam" scores no more than 3 goals
Brief Overview
14.05.2026 Azam plays away against Pamba Jiji. We haven't received information about the match referee yet. So far, head-to-head meetings between the clubs could only be observed within a single league. We can analyze how the match will go, since the teams have already played each other over 3 last seasons.
Match sections
Game Review →
Statistics, predictions, and trends for the match
Live center and statistics →
Match statistics, events, and team lineups
Probabilities →
Bet probabilities based on a sample of teams, referee and head-to-head history
Team statistics →
Detailed Smart Tables with Filters
AI prediction →
The model's prediction for this match's outcome and totals
Personal Meetings →
Head-to-head history and sample probabilities
Match Progress
The match has begun - the first half is underway
0
:0
The match has continued - the second half is underway
0
:0
Yellow Card
52’
J. Nakibinge
Yellow Card
56’
B. Eshihanda
Yellow Card
58’
K. Kunambi
Yellow Card
67’
I. Nado
Substitution
69’
J. Ngita
A. Abah
Yellow Card
76’
K. Naftal
Substitution
77’
H. Kibailo
K. Kunambi
Substitution
84’
P. Lwasa
A. Yonta Camara
Yellow Card
85’
M. George
Goal
90’
F. Salum
1
:0
Match Completed
2
:0
Starting lineups
№
Player
10
A. Abah
~
~
~
~
21
Y. Zayd
~
~
~
~
20
N. Chilambo
~
~
~
~
23
H. Mkami
~
~
~
~
№
Player
16
M. Kamara
~
~
~
~
20
S. Oyugi Siwa
~
~
~
~
17
J. Nakibinge
~
~
~
~
9
M. Tegisi
~
~
~
~
15
K. Kunambi
~
~
~
~
23
J. Mwashinga
~
~
~
~
24
K. Naftal
~
~
~
~
14
A. Yonta Camara
~
~
~
~
3
I. Abraham
~
~
~
~
2
A. Mangalo
~
~
~
~
5
B. Eshihanda
~
~
~
~
Substitutions
№
Player
26
A. Bitegeko
~
~
~
~
60
C. Alobogast
~
~
~
~
32
Z. Foba
~
~
~
~
4
A. Zouzou
~
~
~
~
43
A. Salum
~
~
~
~
№
Player
10
S. Nahimana
~
~
~
~
11
N. Mussa
~
~
~
~
36
H. Kibailo
~
~
~
~
54
H. Msabila
~
~
~
~
37
D. Richard
~
~
~
~
19
P. Lwasa
~
~
~
~
18
A. Kadikilo
~
~
~
~
68
C. Ruta
~
~
~
~
30
Z. Hamis
~
~
~
~
6
M. George
~
~
~
~
These are bet probabilities based on the sample
Choose a sample source to see value odds for key markets
Sample source
Teams
Referee
Personal Meetings
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Attack
Possession and style
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Goals
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Sample settings
Source: teams · sample 10 events · all seasons and leagues
Seasons and leagues
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Bet Probabilities by Sample — Goals
Value odds for key markets based on the selected sample — teams.
These are detailed team statistics
We offer team statistics for 9 metrics. Fill in the filters below to see summary data for home and away
Select a metric for analysis
Attack
Possession and style
Discipline
Defense
Goals
Shots on target
Shots on goal
Corners
Sample settings
Sample: 20 events · all seasons and leagues
Combined for both teams
All available seasons
All available leagues
Number of events
5
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50
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Azam
Across all matches
Home only
Away only
All outcomes
Win
Loss
Draw
Pamba Jiji
Across all matches
Home only
Away only
All outcomes
Win
Loss
Draw
These are machine learning-based predictions (Machine Learning, ML)
ML predictions are an exclusive and unique feature of TheAnalytic. Our servers run special mathematical algorithms that calculate team strength and perform analysis based on pseudo-random event prediction algorithms. We don't take these predictions “somewhere”, we developed the system and implemented it ourselves, exclusively for our website. The algorithm uses machine learning technologies and conventional calculation methods. To help the community understand what we offer, we disclose the methodology in a separate article. Important! The match predictions we publish are not a call for betting and are intended solely for “highlight” You need matches or parameters for independent analysis. The ML system does not replace humans!
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Goals total
1x2 goals
Corners total
1x2 corners
Fouls total
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Sample settings
All outcomes · any probability · any odds
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Probability range
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Odds range
Odds from 1.3 to 6
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Bookmakers
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Match prediction value calculator
Thinking about your prediction for this match? Check the bookmaker's odds value using the calculator to determine whether a bet is worth making. The calculator will show the statistical probability of a winning bet and compare it to the probability implied by the bookmaker's odds. Learn more about how this tool works and become familiar with the algorithm for calculating the statistical rating.
These are detailed statistics of head-to-head meetings Azam and Pamba Jiji before the match 14.05.2026
We offer team statistics for 9 metrics. Fill in the filters below to see summary data
Select a metric for analysis
Attack
Possession and style
Discipline
Defense
Goals
Shots on target
Shots on goal
Corners
Sample settings
Sample: 20 head-to-head meetings · all seasons and leagues
Seasons and leagues
All available seasons
All available leagues
Number of events
5
10
15
20
50
All
This tool will help you find the right trend for a match Azam - Pamba Jiji 14.05.2026
This tool, based on the entered probability, will show the trend operating within that probability for teams, referees, and championships. Learn more about how this tool works