adidas Men's Gamecourt 2.0 Tennis Sneaker
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Review Analysis Results
Analysis Summary
The reviews show a mixed pattern with some legitimate characteristics but also several concerning elements. Positive aspects include detailed, specific usage descriptions (tennis, pickleball), varied rating distribution (5, 4, 2, and 0 stars), and authentic-sounding experiences with sizing issues and durability concerns. However, there are suspicious patterns: multiple reviews with identical or near-identical text (R2OBUDXS0YD1HX appears twice with different ratings), several extremely brief 5-star reviews lacking substance, and some reviews that appear formulaic. The presence of both Spanish and English reviews suggests authentic diversity, but the duplicate content and overly simplistic positive reviews raise concerns. The 28% fake percentage reflects that while most reviews appear genuine, there is a notable minority that show patterns consistent with inauthentic content.
Review Statistics
About Review Data Collection
We extract as much review data as Amazon makes available at the time of analysis. The amount may vary due to Amazon's rate limiting, regional restrictions, or other factors. Our analysis is based on the reviews we successfully collected.
Want to analyze more reviews? Install the Null Fake Chrome extension to capture and analyze additional reviews as you browse Amazon.
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Price Analysis
Price analysis pending
Price insights will be available shortly.
Understanding This Analysis
What does Grade C mean?
This product has moderate review authenticity concerns. A notable portion of reviews show suspicious patterns. Consider reading reviews carefully before purchasing.
Adjusted Rating Explained
The adjusted rating (1.70 stars) represents what we estimate this product's rating would be if fake reviews were removed. This product's adjusted rating is lower than Amazon's displayed rating (1.97 stars), suggesting positive fake reviews may be inflating the score.
How We Detect Fake Reviews
Our AI analyzes multiple factors: language patterns (generic vs. specific), reviewer behavior (history, timing), temporal anomalies (review clusters), verification status, sentiment authenticity, and statistical outliers. No single factor determines a review is fake - we look at the combination of signals.
Important Limitations
No automated system is perfect. Sophisticated fake reviews can evade detection, and some genuine reviews may be incorrectly flagged. Use this analysis as one data point in your purchasing decision, not the only factor. Reading actual review content yourself is always valuable.
