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SeeAEye Twitch stats

Primary language: EN
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I wanted to see if I could create a Machine Learning agent that could play video games, and "learn like a human". I started with Jump King because it's a game I have never played before, so I could devise "solving" problems the same way I thought about them as they came up.

Tracked since . Profile details synced .

Tracked streams
1
Highest tracked viewers
1,208

Games and categories

Every category we have observed SeeAEye streaming in the last 30 days.

Categories streamed
1

Observed in the last 30 days

Most streamed
Jump King

8.02 hours of tracked airtime

Highest average audience
Jump King

211 average viewers across 8.02 hours

Category detail

8.02 hours of tracked airtime across 1 categories.

Back to overview

Share of tracked stream time

Hours broadcast per category over the last 30 days.

  • Jump King8.02 h · 100%

    211 average viewers here

Category performance over the last 30 days
CategoryHours streamedShareStreamsAvg viewersPeakHours watched
Jump King8.02100%12111,2081,692

Covers the last 30 days. Categories with no observed airtime in the period are not listed at all rather than shown as zero.

Category time comes from the category recorded on each sample of a live broadcast, so a stream that switched games contributes to more than one row. Hours watched is an estimate derived from sampling, not a figure Twitch publishes.

This channel is being tracked. Charts and statistics will build as more data is collected. How these numbers are calculated.