Customereye

PSAcard

Gaming & Esportspsacard.com

Review data last updated .

Based on public reviews and response behavior.

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100 reviews over 358 days (about 8.5 per month). Busiest month: 15% of reviews. Languages: en 100%.

Overall Score

34/100
+40.0 vs. last month1.10 ★ average rating · 100 reviews
34/100 from 100 reviews over 13 months, moderate confidence.

Gaming & Esports average: score 59.0, rating 4.16 stars, reply rate 25.6%, over 1,050 ranked companies · benchmark 23 Oct 2026

Score

34.4

Industry average 59.0

24.6 below average

Rating

1.10

Industry average 4.16

3.06 below average

Reply rate

—

Industry average 25.6%

not measured

Competitive Performance Rank

Among ranked Gaming & Esports companies

#955of 1050 ranked in Gaming & Esports
Top 91% · Bottom Tierup 206 from last month
#1 (best)#1050 (worst)
#953Peer
#954Peer
#955This company
#956Peer
#957Peer

Only companies with enough recent, scoreable reviews are ranked.

Overall Customer Sentiment

Below Average

22% of reviews positive, 78% negative

22%
positive
  • Positive22%
  • Neutral0%
  • Negative78%

Sentiment Balance

Covering October 2026 — 5 reviews, not the company's full review history.

—
positive
  • Positive—
  • Neutral—
  • Negative—

Takeaway: Positive sentiment accounts for 60% of reviews in this period, with 40% negative and 0% neutral.

Sentiment Trend Over Time

Reviews (Count)
HiddenHidden

Theme Distribution

Share of theme mentions

Loyalty
Hidden
Pricing
Hidden
Customer Support
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How this analysis was produced

The figures on this page come from the most recent reviews this company received, up to a per-company limit, so the period they cover depends on how quickly this company receives reviews: a busy company's sample may span only a few weeks, a quieter company's may span years. The window actually covered is stated above with the score. The analysis identifies patterns across many reviews at once and is not intended as a judgement on any individual one. For a complete analysis covering all available feedback, using AI rather than automated rules, .

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