Predictions / Football / San Marino U17

San Marino U17 Match Predictions, Stats & AI Betting Insights

Explore San Marino U17's predicted performance, expert insights, and statistical breakdowns for their upcoming matches in the season.

San Marino U17 have struggled to find the net, failing to score in 9 of their last 9 matches. Their defensive record remains a concern, conceding 3.4 goals per match on average. Recent form shows a L-L-L-L-L pattern, with 5 consecutive losses raising questions about consistency. They perform similarly at home (0% win rate) and away (0%). With 67% of recent matches producing Over 2.5 goals, San Marino U17 games tend to be high-scoring affairs.

Current Form
L L L L L
Win Rate
0%
Record (Last 10)
0W 0D 9L
Prediction Accuracy
89%

Upcoming San Marino U17 Matches (0)

No upcoming match predictions available

Recent Results & Statistics for San Marino U17 (9)

Date
League
Match
Outcome

San Marino U17 Stats & Trends

Performance Stats

Goals Scored 0
Goals Conceded 31
Avg. Goals Scored 0.0
Avg. Goals Conceded 3.4

Form Analysis

Matches Played 9
Wins 0
Draws 0
Losses 9
Win Rate 0%
Prediction Accuracy 89% (8/9)

AI Model Insight

Prediction Accuracy Explained

Our AI model correctly predicted 8 out of 9 recent San Marino U17 matches, achieving a 89% accuracy rate. The model performs significantly better on home games (100% accuracy) compared to away fixtures (83%). This strong accuracy suggests the model has a solid grasp of this team's playing patterns.

Overall Accuracy 89%
Home Accuracy 100%
Away Accuracy 83%

Home vs Away Performance

San Marino U17 show little home advantage with a 0% home win rate (0W in 3 games) vs 0% on the road (0W in 6 games). At home, they score 0.0 goals/game and concede 3.7, while away they score 0.0 and concede 3.3. Interestingly, their defensive record is actually better away from home.

Home Win Rate 0%
Away Win Rate 0%
Home Goals/Game 0.0
Away Goals/Game 0.0

Over/Under 2.5 Analysis

In San Marino U17's last 9 matches, 6 games (67%) finished with Over 2.5 goals while 3 (33%) were Under 2.5. The average total goals per match is 3.4 (scored 0.0 + conceded 3.4). The data strongly leans towards Over 2.5, suggesting high-scoring encounters.

Over 2.5 67%
Under 2.5 33%
Avg. Total Goals 3.4

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