Newells Old Boys vs San Lorenzo Prediction — Model Probabilities
The bookmaker priced every market fairly — no dependable value at these odds, so skipping is the disciplined play.
Our call is our best estimate of the outcome; a value flag is a separate, rarer judgement about the price.
Edge (pp): green = we see more probability than the market · gold = essentially even (±0.5pp) · red = we see less. The Decision above outranks any single row: the engine backs well-supported edges, not merely big ones.
Newells Old Boys v San Lorenzo — Team-Based Signals
Newells Old Boys vs San Lorenzo Head-to-Head — Last 6 Meetings
0-3
HT 0-1
Newells Old Boys
ARJ
1-0
HT 0-0
San Lorenzo
ARJ
0-0
HT 0-0
San Lorenzo
ARJ
1-2
HT 0-1
San Lorenzo
ARJ
3-2
HT 2-2
Newells Old Boys
ARJ
1-0
HT 0-0
San Lorenzo
ARJ
Newells Old Boys 2-2 San Lorenzo — Actual Match Statistics
Newells Old Boys and San Lorenzo shared the points in a 2-2 draw.
We called this one close before kick-off — 38% / 35% / 27% — and a draw is about as on-script as that read gets. The goals read — under 2.5 goals (74%), no to both teams scoring (70%) — went the other way, though.
On the day, Newells Old Boys had 54% of the ball to San Lorenzo's 46%, shots finished 10-10, expected goals 0.31 to 0.78.
For context: across their last 6 meetings in our records, Newells Old Boys had the better of it with 3 wins, 1 drawn. Those games averaged 1.33 goals for Newells Old Boys and 0.83 for San Lorenzo.
What was the final score of Newells Old Boys vs San Lorenzo?
Newells Old Boys 2-2 San Lorenzo in the Argentina - Premier League on 04/03/2024. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Newells Old Boys vs San Lorenzo?
Before kick-off our model rated a Newells Old Boys win the most likely single outcome at about 38%, with the full match-result split Newells Old Boys 38%, draw 35%, San Lorenzo 27%. The final score 2-2 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.