What percentage of reviews are fake for this product?

28.00% of the analyzed reviews appear to be fake or inauthentic.

What is the authenticity grade for this product?

The product receives a grade of C based on review authenticity analysis.

How many reviews were analyzed?

13 reviews were analyzed for authenticity patterns.

What is the adjusted rating after removing fake reviews?

After removing suspicious reviews, the adjusted rating is 3.60 out of 5 stars.

How does this analysis help consumers?

This analysis helps consumers identify products with manipulated reviews, enabling more informed purchasing decisions based on genuine customer feedback.

Is this product priced fairly on Amazon?

Based on AI price analysis, this product is Unable to compare.

How is this product positioned in the market?

This product is positioned as a Mid-range option in its category.

Neo-G Tennis/Golf Elbow Strap - Support For Epicondylitis, Tennis/Golfers Elbow, Sprains & Repetitive Strain, Forearm Pain – Class 1 Medical Device - One Size - Blue

Name: Neo-G Tennis/Golf Elbow Strap - Support For Epicondylitis, Tennis/Golfers Elbow, Sprains & Repetitive Strain, Forearm Pain – Class 1 Medical Device - One Size - Blue
Brand: Amazon
SKU: B001M0A2LE
Availability: InStock
Rating: 3.6 (13 reviews)

ASIN: B001M0A2LE

Analysis Date: Nov 18, 2025 (re-analyzed Nov 18, 2025)

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Review Analysis Results

Authenticity Grade

28.00%

Fake Reviews

4.15

Original Rating

3.60

Adjusted Rating

Analysis Summary

The reviews show a moderately suspicious pattern with several concerning elements balanced against legitimate characteristics. The product has an unusually high 5-star concentration (73% of reviews) with only 2 negative reviews, creating an unnatural distribution. Multiple reviews use nearly identical phrasing about 'tennis elbow' relief and contain overly enthusiastic language with minimal detail. However, there are mitigating factors: the presence of verified purchases, some detailed negative reviews that appear genuine, international reviews in different languages, and specific usage scenarios that suggest real user experiences. The product appears to have some authentic reviews but likely includes incentivized or artificially positive reviews to boost ratings.

Review Statistics

776

Total Reviews on Amazon

-0.55

Rating Difference

Price Analysis

This appears to be a competitively priced medical-grade elbow support in the mid-range segment. With strong ratings, it represents solid value for those needing certified support. Monitor Amazon's price history and consider waiting for a drop below $20 for optimal value.

MSRP Assessment

Estimated MSRP: $29.99

Source: Market research

Amazon Price: Unable to compare

Market Position

Positioning: Mid-range

Alternatives Range: $15-$45

Value: This Class 1 medical device offers regulatory credibility at a competitive price point compared to basic compression sleeves.

Buying Tips

Best Time to Buy: No strong seasonal pattern, but may see discounts during back-to-school or New Year's fitness periods.

Deal Indicators: Look for prices below $20, bundle deals with other sports supports, or subscribe & save discounts.

Watch For: Watch for third-party sellers charging significantly above $30 or unusually low prices that may indicate counterfeit products.

Price analysis generated by AI based on product category and market research. Actual prices may vary. Last analyzed: Dec 1, 2025

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 (3.60 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 (4.15 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.