Kruger United vs Durban City Prediction

Kruger United
0-2
Finished
HT 0-1
Durban City
Mbombela Stadium, Mbombela· Luxolo Badi, South Africa 25/08/2026

AI Best Pick

Statistical forecasts for entertainment purposes only - not betting or financial advice.

Data Quality
Partial
Match Importance
3.2 / 10
Value Analysis
69%Trust
Goals O/U
Under 2.5 Goals
1.46
SignalSOLIDModel28%RiskHighGap+6.0%
Kruger United Rest
9 days
Durban City Rest
9 days

Match Forecasts

Match Result
1
30%3.20
X
32%2.90
2
38%2.32
Double Chance
1X
62%1.51
X2
70%1.30
Both Teams to Score
Yes
41%2.08
No
59%1.66
Goals
Projected Goals: 1.11 + 0.89 = 2.00
Over 1.5
59%1.50
Over 2.5
31%2.52
Over 3.5
16%4.85
Under 1.5
41%2.47
Under 2.5
69%1.46
Under 3.5
84%1.14
Corners

Corner forecasts not available for this match

Cards

Card forecasts not available for this match

Match Events

7'J. Lwamba
23'N. Makhubela
28'E. Seedat
43'G. Sirino
45+1'K. Mngonyama
50'G. Sirino
59'K. Jurgens INE. Brooks out
62'G. Sirino INL. Sifumba out
63'L. de Kock INS. Ncanana out
66'E. Seedat INT. Tavengwa out
77'A. Mphothe INM. Zwane out
77'S. Fakude
80'S. Maseko INH. Domingo out
80'J. Lwamba INT. Morris out
90'K. Ndlovu INT. Sibanyoni out

Lineups

Kruger United
4-3-1-2Coach: Abraham Mongoya
Durban City
4-2-3-1Coach: Khalil Ben Youssef
Fiacre Ntwari1F. NtwariFiacre Ntwari
Sidney Fakude29S. FakudeSidney Fakude
Sipho Sibiya4S. SibiyaSipho Sibiya
Katlego Mohamme26K. MohammeKatlego Mohamme
Ebrahim Seedat13E. SeedatEbrahim Seedat
Boitumelo Malatjie12B. MalatjieBoitumelo Malatjie
Kwanda Mngonyama45K. MngonyamaKwanda Mngonyama
Morne Peter Nel8M. Peter NelMorne Peter Nel
Ntsako Makhubela10N. MakhubelaNtsako Makhubela
Khetukuthula Ndlovu22K. NdlovuKhetukuthula Ndlovu
Aphiwe Mphothe50A. MphotheAphiwe Mphothe
Frederick Asare33F. AsareFrederick Asare
Bandile Shandu2B. ShanduBandile Shandu
Siyabonga Msomi27S. MsomiSiyabonga Msomi
Liam De Kock22L. De KockLiam De Kock
John Managa Mokone24J. Managa MokoneJohn Managa Mokone
Brooklyn Poggenpoel18B. PoggenpoelBrooklyn Poggenpoel
Tylo Sanger23T. SangerTylo Sanger
Samkelo Maseko10S. MasekoSamkelo Maseko
Kyle Jurgens17K. JurgensKyle Jurgens
Gastón Sirino8G. SirinoGastón Sirino
Jean Lwamba20J. LwambaJean Lwamba

Kruger United Substitutes

44Tatenda TavengwaM
9Wonderboy MakhubuF
7Mlungisi ZwaneM
25Siyabonga SibanyoniF
16Marcel DandjinouG
5Thulane NdlelaD
35Motsie MatimaM
47Heaven SereetsiM
28Nkosinathi ThwalaM
38Sphiwe Prince MahlanguM

Durban City Substitutes

28Ethan Duncan BrooksM
35Luphumlo Kaka SifumbaM
5Siphamandla NcananaD
7Haashim DomingoM
9Tashreeq MorrisF
34Aden DreyerG
29Alou DoumbiaM
12Kabelo MofokengD
40Junior PapierF

Match Stats

Kruger UnitedDurban City
53%Ball Possession47%
13Corner Kicks2
4Yellow Cards2
14Total Shots11
4Shots on Goal6
7Shots off Goal4
8Shots Inside Box8
6Shots Outside Box3
3Blocked Shots1
15Fouls10
9Offsides2
3Goalkeeper Saves5
368Total Passes345
280Passes Accurate242
76%Pass Accuracy70%

Team Comparison

Kruger UnitedKruger United
Durban CityDurban City
1511Elo Rating 1540
0.44Attack 0.93
1.36Defense 2.23
27%Hit Rate 56%
14.0Shots per Game 7.7
5.2Shots on Target 4.7
7.2Corners per Game 2.7
2.3Cards per Game 2.7

Game State Tendencies

Kruger UnitedKruger United
  • Tied at half-time in 60% of matches
  • Scores more in 2nd half (0.4 vs 0 in first half)
  • Concedes more in 2nd half - can tire late
Durban CityDurban City
  • Tied at half-time in 60% of matches
  • Starts fast - scores more in 1st half (0.6 vs 0.3 in second half)
  • Concedes more in 2nd half - can tire late

Head to Head

Based on 2 historical meetings

Kruger United 0%Draw 0%100% Durban City
1.92Avg Goals
46%BTTS Rate
46%Over 2.5

Recent Form

Kruger UnitedKruger United
1W2D2L
15/08/2026
Milford FCKruger United
21
L
11/08/2026
Marumo GallantsKruger United
00
D
01/08/2026
Kruger UnitedKaizer Chiefs
13
L
17/05/2026
Kruger UnitedThe Bees
22
D
10/05/2026
Gomora United FCKruger United
01
W
Durban CityDurban City
0W2D3L
15/08/2026
Durban CityRichards Bay
11
D
12/08/2026
Durban CityGolden Arrows
00
D
08/08/2026
Orlando PiratesDurban City
1101
L
01/08/2026
Sekhukhune UnitedDurban City
10
L
23/05/2026
Durban CityAmazulu
01
L

Referee Profile

Luxolo Badi, South Africa · 20 matches analysed

4.0Avg Yellows
4.3Avg Cards
24.8Avg Fouls
Stricter than 31% of referees analysed

League Table

Premier Soccer League 2026
#TeamMPWDLGGDPtsForm
1Mamelodi SundownsMamelodi Sundowns862019:7+1220DWWWW
2Orlando PiratesOrlando Pirates651014:1+1316WWWWD
3AmazuluAmazulu751110:7+316WWWLW
4Kaizer ChiefsKaizer Chiefs633012:7+512DWDDW
5Milford FCMilford FC73228:6+211WDLDW
6Sekhukhune UnitedSekhukhune United73227:7011WDDLW
7Golden ArrowsGolden Arrows61413:307DLWDD
8Polokwane CityPolokwane City71428:10-27LDDDL
9StellenboschStellenbosch61327:706DDLWD
10TS GalaxyTS Galaxy61327:8-16LDWDL
11Durban CityDurban City61323:4-16LDWDD
12Chippa UnitedChippa United60513:6-35DDDLD
13Kruger UnitedKruger United61143:11-84WLLLD
14Richards BayRichards Bay70349:16-73LLLDD
15SiweleleSiwelele70346:13-73DLLDL
16Marumo GallantsMarumo Gallants60245:11-62LDLLL

Kruger United vs Durban City Prediction

Our AI model has analysed this Premier Soccer League fixture using team Elo ratings, recent form, projected goals and head-to-head history. The forecasts cover six independent markets - each probability is a separate model calculation, not derived from the match winner result.

How to Read These Forecasts

Each percentage shows the model's calculated likelihood for that outcome. Above 65% indicates strong statistical confidence; 45-65% reflects a competitive or open market; below 45% suggests the outcome is statistically less likely. All figures are for informational and entertainment purposes only.

About Premier Soccer League

ScorePredicts covers South-Africa football across all major markets. Use the navigation to explore today's full fixture list or filter by market.

Key Factors for This Match

Kruger United and Durban City have met 2 times recently, averaging 1.92 goals per game in those meetings. Some underlying data for this fixture is limited, which the model accounts for with a lower confidence rating.

All forecasts are generated by statistical and machine learning models for informational and entertainment purposes only. They are not guaranteed and do not constitute financial or betting advice.