Newells Old Boys vs Central Cordoba Santiago Prediction — Model Probabilities
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 Central Cordoba Santiago — Team-Based Signals
Newells Old Boys vs Central Cordoba Santiago Head-to-Head — Last 6 Meetings
2-0
HT 1-0
Central Cordoba Santiago
ARJ
2-0
HT 1-0
Newells Old Boys
ARJ
0-3
HT 0-1
Newells Old Boys
ARJ
1-0
HT 0-0
Central Cordoba Santiago
ARJ
Newells Old Boys 2-3 Central Cordoba Santiago — Actual Match Statistics
Central Cordoba Santiago squeezed past Newells Old Boys 3-2 away from home. The game was level at 1-1 at the break, so the decisive goals came after it. 5 goals made it one of the day's more open games.
Our pre-match split (39% / 28% / 33%) promised a tight game; Central Cordoba Santiago found the edge the numbers couldn't. The goals read — under 2.5 goals (65%), no to both teams scoring (62%) — went the other way, though.
On the day, Newells Old Boys had 56% of the ball to Central Cordoba Santiago's 44%, shots finished 10-10, expected goals 0.40 to 1.05.
For context: across their last 6 meetings in our records, Newells Old Boys had the better of it with 4 wins, 1 drawn. Those games averaged 1.17 goals for Newells Old Boys and 0.33 for Central Cordoba Santiago.
What was the final score of Newells Old Boys vs Central Cordoba Santiago?
Newells Old Boys 2-3 Central Cordoba Santiago in the Argentina - Premier League on 20/11/2024. 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 Central Cordoba Santiago?
Before kick-off our model rated a Newells Old Boys win the most likely single outcome at about 39%, with the full match-result split Newells Old Boys 39%, draw 28%, Central Cordoba Santiago 33%. The final score 2-3 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.