San-Pedro vs Mouna — Statistical Analysis, Historical Data & AI Match Projections
San-PedroN/A0 – 2
0-1–1-2
Alternative high-probability score range based on the stats. The main score above remains the primary StatsBrain AI statistical projection.
MounaN/AStatsBrain AI: Mouna · 66% confidence
Match Statistics
0Goals2
10Possession %90
1.18xG1.53
2Total Shots1
1Shots on Target1
9Dangerous Attacks5
1Corners0
AI Insights
⚡ Goal-fest: 4 of Mouna's last 5 fixtures featured over 2.5 goals.
⚡ Baseline attack: San-Pedro averages 0.8 goals scored per game recently.
⚡ Baseline attack: Mouna averages 0.5 goals scored per game recently.
Statistical Scenarios
Maximum Probability
Awaiting Data
Mathematical Opportunity
Awaiting Data
Combined Projection
Over 1.5 & Under 5.5 (2-5 Goals)72%
Head to Head
3 matches
1San-Pedro
0Draws
2Mouna
League Standings
| # | Team | MP | W | D | L | Goals | Pts | Form |
|---|---|---|---|---|---|---|---|---|
| 1 | ASEC Mimosas | 28 | 19 | 4 | 5 | 49:19 | 61 | LWW |
| 2 | San-Pedro | 28 | 13 | 9 | 6 | 39:30 | 48 | LWL |
| 3 | Mouna | 28 | 13 | 6 | 9 | 39:26 | 45 | LWD |
| 4 | AFAD | 28 | 12 | 8 | 8 | 30:24 | 44 | WWW |
| 5 | US Tchologo | 28 | 12 | 7 | 9 | 29:29 | 43 | WWW |
| 6 | Korhogo | 28 | 10 | 8 | 10 | 30:29 | 38 | LLW |
| 7 | Stade d'Abidjan | 28 | 10 | 7 | 11 | 28:28 | 37 | LLL |
| 8 | Bouake | 28 | 9 | 10 | 9 | 23:23 | 37 | WWL |
| 9 | Stella | 28 | 9 | 9 | 10 | 24:26 | 36 | WDW |
| 10 | SOL | 28 | 11 | 3 | 14 | 32:44 | 36 | WLW |
| 11 | SOA | 28 | 9 | 8 | 11 | 23:23 | 35 | WDL |
| 12 | ES Agboville | 28 | 8 | 9 | 11 | 20:29 | 33 | WWD |
| 13 | Zoman | 28 | 8 | 8 | 12 | 19:30 | 32 | LLW |
| 14 | ISCA | 28 | 9 | 5 | 14 | 14:26 | 32 | DLL |
| 15 | Olympique Sport d'Abobo | 28 | 7 | 8 | 13 | 26:32 | 29 | DLL |
| 16 | Racing d'Abidjan | 28 | 6 | 9 | 13 | 23:30 | 27 | LLL |
Performance Radar
San-Pedro
MounaMetric
Home
Away
Possession
10%
90%
xG
1.18
1.53
Shots on Target
1
1
Danger. Attacks
9
5
Corners
1
0
Recent results in Ligue 1
League →Analysis and simulations are produced by the StatsBrain AI engine and reviewed by our editorial team. Learn how we model outcomes in our methodology and who publishes StatsBrain on About.








