San Lorenzo vs Tigre 0-1 Score & Prediction Review

Liga Profesional de Fútbol - Season 2024 (Round 27)

Fair result
San LorenzoSan Lorenzo

0–1

TigreTigre
0.6Chances (xG)1.0

On these chances San Lorenzo would usually take 1.0 points and Tigre 1.7; they took 0 and 3. Bookmakers' favourite: San Lorenzo.

San Lorenzo −1.0 pts vs chancesTigre +1.3 pts vs chances

Calculated by MyGameOdds · xG: our own model

How it works

Chances (xG): every shot gets a value for how likely it was to go in, and we add them up (our own model). Points their chances were worth: how many points teams usually get from chances like these.

Smash-and-grab: the winner created at least 0.8 xG less than the loser. Robbed: a draw where one side created at least 0.8 xG more. Anything else is a fair result. No verdict after extra time or when there's no xG.

Can you trust it? In these games, SportMonks' own xG agreed on who created more in 95% of the wins and 98% of the draws, and Flashscore agreed in 16 of the 20 games we checked by hand.

How we measure →

San Lorenzo vs Tigre stats: how the match was played

Liga Profesional de Fútbol

Whether the result matched the chances each side created, measured with our own xG.

Level on shots on target

San Lorenzo

Tigre

2

Shots on target

2

1

Big chances

0

2

Corners

8

5

Yellow cards

3

1

Red cards

0

42%

Possession

58%

The match between San Lorenzo and Tigre ended 0-1. Our AI model predicted a San Lorenzo win at 41% confidence — the final result went a different way, but individual market predictions still offer useful insight. Overall a solid read on this match, with 3 out of 4 key markets predicted correctly, including Both Teams To Score, Over/Under 2.5 Goals & Over/Under 3.5 Goals.
This match is finished — the model has already priced the next one: Huracán – Tigre prediction & betting tips (Oct 30, 2026).

San Lorenzo vs Tigre — Our Model vs the Bookmakers

Market check · Liga Profesional de Fútbol

How our model’s pick did in each market, next to the bookmakers’ last odds before kick-off (margin removed): what was correct, what was wrong, and how often our predictions like this one came true over the last 12 months.

How to read it

our model’s probabilitybookmakers’ probabilityAgreesDisagreesour model’s pick is / is not the bookmakers’ favouriteTrack record: finished matches from the last 12 months
Full-Time Result →Agrees with bookmakers

Our model’s pick

San Lorenzo to win

Wrong
Our model 41%Bookmakers 48%

Our track record

In 3,622 matches over the last 12 months where our model gave the same pick a 40–45% chance and the bookmakers agreed, it came true 47.3% of the time (bookmakers said 47.0%).

Both Teams to Score →Agrees with bookmakers

Our model’s pick

No, not both

Correct
Our model 54%Bookmakers 58%

Our track record

In 6,504 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 55.4% of the time (bookmakers said 55.0%).

Over/Under 2.5 Goals →Agrees with bookmakers

Our model’s pick

Under 2.5 goals

Correct
Our model 60%Bookmakers 63%

Our track record

In 5,327 matches over the last 12 months where our model gave the same pick a 55–60% chance and the bookmakers agreed, it came true 58.5% of the time (bookmakers said 59.1%).

Over/Under 3.5 Goals →Agrees with bookmakers

Our model’s pick

Under 3.5 goals

Correct
Our model 79%Bookmakers 83%

Our track record

In 3,655 matches over the last 12 months where our model gave the same pick a 75–80% chance and the bookmakers agreed, it came true 76.0% of the time (bookmakers said 76.2%).

First Half Result →Agrees with bookmakers

Our model’s pick

Draw at half-time

Correct
Our model 51%Bookmakers 48%

Our track record

In 1,258 matches over the last 12 months where our model gave the same pick a 50–55% chance and the bookmakers agreed, it came true 53.9% of the time (bookmakers said 51.7%).

San Lorenzo Goals →Agrees with bookmakers

Our model’s pick

San Lorenzo 0–1 goals

Correct
Our model 65%Bookmakers 62%

Our track record

In 2,676 matches over the last 12 months where our model gave the same pick a 65–70% chance and the bookmakers agreed, it came true 69.1% of the time (bookmakers said 67.6%).

Tigre Goals →Agrees with bookmakers

Our model’s pick

Tigre 0–1 goals

Correct
Our model 73%Bookmakers 81%

Our track record

In 3,384 matches over the last 12 months where our model gave the same pick a 70–75% chance and the bookmakers agreed, it came true 71.4% of the time (bookmakers said 72.0%).

Odds: the last ones before kick-off. Picks are marked on the result after 90 minutes. The track record uses closing odds.

San Lorenzo vs Tigre 0-1 — How Our Predictions Performed

The prediction cards below show the pre-match probabilities our AI model generated for San Lorenzo vs Tigre. Correct predictions are highlighted in green, so you can quickly see where the model read this match well.

· FT
San LorenzoSan Lorenzo0
TigreTigre1

Winner

1X 69%

BTTS*

No 54%

Correct Score

1-0 13%

Over/Under 2.5 goals

under 60%

Over/Under 3.5 goals

under 69%

Full Time

141%
X28%
231%

Goals Over/Under

<1.5>1.5<2.5>2.5
FT34%66%60%40%
<3.5>3.5<4.5>4.5
FT69%31%89%11%

Team Goals Over/Under

<0.5>0.5<1.5>1.5
San Lorenzo31%69%65%35%
Tigre38%62%73%27%
<2.5>2.5<3.5>3.5
San Lorenzo87%13%96%4%
Tigre91%9%98%2%

1st Half

127%
X51%
221%

1st Score

149%
X11%
240%

Half Time/Full Time

X-X

24%

1-1

22%

X-1

15%

2-2

15%

X-2

13%

1-X

4%

2-X

4%

1-2

2%

2-1

2%

Correct Score

1-0

12.6%

1-1

12.5%

0-0

11.2%

0-1

10.1%

2-1

8.1%

2-0

7.4%

1-2

6.8%

0-2

5.8%

2-2

4.2%

3-1

3.5%

3-0

3.2%

*Probability of each predicted outcome is expressed in percentage (%)

*BTTS - Both teams to score

This match is finished — the model has already priced the next one: Huracán – Tigre prediction & betting tips (Oct 30, 2026).

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