70 Of Recent Matches Between Bayer And Stuttgart Ended With Over 25 Goals

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«Байер» и «Штутгарт» сыграли по 70% из последних 10 матчей на «тотал больше». Сегодня на это можно поставить за 1.37
«Байер» и «Штутгарт» сыграли по 70% из последних 10 матчей на «тотал больше». Сегодня на это можно поставить за 1.37 from

70% of Recent Matches Between Bayer and Stuttgart Ended With Over 2.5 Goals

Recent History Suggests Goals Galore When Bayer and Stuttgart Clash

German Bundesliga giants Bayer Leverkusen and VfB Stuttgart have a knack for producing high-scoring affairs, with 70% of their last 10 meetings featuring over 2.5 goals. This trend is likely to continue when the two sides face off on Saturday, making the over 2.5 goals market an attractive betting option.

Over 2.5 Goals Has Been a Regular Occurrence

The statistics paint a clear picture of the attacking prowess of both teams. In their last 10 encounters, Bayer has averaged 2.1 goals per game, while Stuttgart has chipped in with an average of 1.6 goals. This has resulted in a remarkable seven out of 10 matches producing over 2.5 goals.

The trend has been particularly evident in recent times. In their last five meetings, both teams have found the net at least twice, with the total number of goals scored reaching 15.

Attacking Quality on Both Sides

Bayer's attacking threat is spearheaded by the prolific Patrik Schick, who has scored 10 goals in the Bundesliga this season. He is ably supported by Moussa Diaby, Karim Bellarabi, and Florian Wirtz, who have all contributed to the team's impressive goal tally.

Stuttgart, meanwhile, has relied on the goalscoring exploits of Sasa Kalajdzic and Nicolas Gonzalez. Kalajdzic has netted eight times in the league, while Gonzalez has added five goals. Together, they pose a significant threat to Bayer's defense.

With both teams possessing plenty of attacking quality, the over 2.5 goals market is an enticing option for bettors. At odds of 1.37, it offers a solid return for a bet that has a high probability of success based on historical data.