Toronto and Austin face each other in an official match of the 2026 MLS season. The game takes place at BMO Field (National Soccer Stadium) on Saturday, 18/04/2026, at 18:00 (UK Time).

Our experts have prepared predictions for Toronto Football Club vs Austin Football Club, based on a detailed statistical review of both teams. Our goal is to assist bettors in making profitable decisions, which is why we offer the best free prediction for today.

APWin predictions for Toronto vs Austin

The top bookmakers have set the odds, and our team has analysed all relevant match data. See our expert match prediction below:

APWin Prediction

Under 9.5 Corners

APWin experts have analysed the main betting markets and selected high-value bets.

👉 Our prediction is: Under 2.5 goals in the match

It's hard to see too many goals in this match between Toronto and Austin given their lack of goalscoring ability.

That is why we project the total to go under 2.5 goals. So if 2 or fewer goals are scored, the bet wins.

👉 Our prediction is: Draw

Toronto vs Austin is a matchup that is as close as they come, with our analysis finding hardly anything to separate the two sides. And so, our betting tip is to take the draw on the 1X2 market.

The 2.96 odds for a draw are quite favourable and would result in a substantial payout if the match does end in a stalemate.

The Reds preview

Toronto comes into the match having played 7 games in the MLS so far. They have recorded 3 wins, 2 draws, and 2 losses, with an average of 1.57 points per game in the tournament.

In the 2026 season across all competitions, the team has achieved 3 wins, 2 draws, and 2 losses.

Toronto's attack has scored 10 goals during this period. Out of this total, 10 goals were scored in the MLS, averaging 1.43 goals per match. The season's average stands at 1.43.

The offence system of Toronto is led by Kosi Thompson as the top scorer of the season. The canadian forward has scored 2 goals. He is supported by the season's best assistant, Djordje Mihailovic, who has contributed with 2 assists.

On the defensive side, the team has conceded 11 goals with an average of 1.57 in the league. In all competitions, the current numbers are 11 goals conceded in 7 matches, resulting in an average of 1.57.

The Oaks preview

On the other hand, Austin comes into the match having played 7 games in the MLS so far. They have recorded 1 wins, 3 draws, and 3 losses, with an average of 0.86 points per game in the tournament.

In the 2026 season across all competitions, the team has achieved 1 wins, 3 draws, and 3 losses.

Austin's attack has scored 8 goals during this period. Out of this total, 8 goals were scored in the MLS, averaging 1.14 goals per match. The season's average stands at 1.14.

The offence system of Austin is led by Myrto Uzuni as the top scorer of the season. The albanian forward has scored 2 goals. He is supported by the season's best assistant, Facundo Torres, who has contributed with 4 assists.

On the defensive side, the team has conceded 11 goals with an average of 1.57 in the league. In all competitions, the current numbers are 11 goals conceded in 7 matches, resulting in an average of 1.57.

Head to head: Toronto vs Austin

Review the head-to-head record between the teams, featuring key data to support your match prediction.

Home Team

Toronto Team Logo

Toronto

USA - MLS

Form Last 5 PPG
Overall D W W D W

2.2

Home D W W D W

2.2

Away W L L L D

0.8

Away Team

Austin Team Logo

Austin

USA - MLS

Form Last 5 PPG
Overall L D D L L

0.4

Home L D W D L

1

Away D L L L L

0.2

Access all match stats for Toronto vs Austin

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Published on 18 April 2026, at 07:33 Last updated on 18 April 2026, at 07:33
Author: Gustavo Porto

I am a journalist with ten years of experience in sports content, SEO, and digital marketing, focused on building and optimizing products for the iGaming industry. My background includes work as a sports TV reporter, producing news stories, writing for major digital portals, and delivering live broadcasts, as well as strategic roles in SEO, growth, and community management across WhatsApp and social media platforms. Throughout my career, I have combined editorial expertise, data-driven analysis, and performance-oriented strategies to drive audience growth and engagement.