PSV Eindhoven vs Rangers

PSV Eindhoven takes on Rangers in the UEFA Champions League match on August 30, 2023 7:00 pm GMT at Philips Stadion in Eindhoven.
Read our free prediction analysis and find our top betting tips for this match.
PSV
PSV Eindhoven
UEFA Champions League
Philips Stadion
Eindhoven
Rangers
Rangers

Match Analysis

PSV Eindhoven
WWD
Rangers
WDD

Form

78%
56%

Attack

69%
38%

Defence

69%
69%

Goals

44%
56%

H2H

29%
71%

Match Preview

The UEFA Champions League Qualification Playoffs present an exciting clash between PSV and Rangers.

The first leg ended in a thrilling 2-2 draw. Rangers took the lead with a goal from Abdallah Sima in the first half. However, Sangare leveled the score for PSV in the second half. Rangers regained the lead in the 76th minute, only for Luuk De Jong to equalize for PSV in the 80th minute, resulting in a final score of 2-2.

Despite playing away in the first leg, PSV managed to control over 65% of ball possession, indicating their strong performance.

With the advantage of playing at home in the second leg, PSV is expected to capitalize on this and secure all three points.

Their motivation to overturn a 0-1 deficit from a previous qualification scenario will drive their determination.

The closely contested nature of the first leg suggests that the second leg will also be a competitive match. Goals from both sides are expected as both teams possess offensive prowess.

Ultimately, PSV’s home advantage and their desire for redemption should lead them to victory.

PSV Eindhoven have scored 9 goals and conceded 4 goals in their last 5 games.

Rangers have scored 5 goals and conceded 4 goals in their last 5 games.

Betting Tips and Predictions

⚽ PSV Eindhoven to Win
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1.51
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⚽ Both Teams to Score: Yes
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1.69
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⚽ Over 2.5 Goals
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1.55
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⚽ Luuk de Jong to Score Anytime
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2.15
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The match prediction for the football match between PSV Eindhoven and Rangers in the UEFA Champions League uses several algorithms including team form comparison, head-to-head (h2h), and other important statistics.

We use these advanced statistical models in combination with the most recent news and expert opinions to analyze data and come up with the most accurate predictions possible.

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