Racing Club Montevideo vs Defensor Sporting 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.
Racing Club Montevideo v Defensor Sporting — Team-Based Signals
Racing Club Montevideo vs Defensor Sporting Head-to-Head — Last 6 Meetings
3-0
HT 1-0
Racing Club Montevideo
URU
0-1
HT 0-0
Defensor Sporting
URU
0-1
HT 0-0
Defensor Sporting
URUK
0-0
HT 0-0
Defensor Sporting
URU2
3-0
HT 1-0
Racing Club Montevideo
URU2
0-1
HT 0-0
Defensor Sporting
URU2
Racing Club Montevideo 1-2 Defensor Sporting — Actual Match Statistics
Defensor Sporting squeezed past Racing Club Montevideo 2-1 away from home. The game was level at 1-1 at the break, so the decisive goals came after it.
We called this one close before kick-off — 36% / 28% / 35% — and on the day Defensor Sporting made the difference. The goals read — under 2.5 goals (59%), no to both teams scoring (56%) — went the other way, though.
On the day, Racing Club Montevideo had 43% of the ball to Defensor Sporting's 57%, shots finished 13-13.
For context: across their last 6 meetings in our records, Defensor Sporting led the recent series with 5 wins, 1 drawn. Those games averaged 0.00 goals for Racing Club Montevideo and 1.50 for Defensor Sporting.
What was the final score of Racing Club Montevideo vs Defensor Sporting?
Racing Club Montevideo 1-2 Defensor Sporting in the Uruguay - Premier League on 02/03/2024. The analysis above shows what our model predicted before kick-off next to what actually happened.
What did the model predict for Racing Club Montevideo vs Defensor Sporting?
Before kick-off our model rated a Racing Club Montevideo win the most likely single outcome at about 36%, with the full match-result split Racing Club Montevideo 36%, draw 28%, Defensor Sporting 35%. The final score 1-2 went against our main leads this time — single matches are noisy by nature; our accuracy is measured across thousands of predictions, not one result.