愛爾達體育家族 ELTA Sports banner
愛爾達體育家族 ELTA Sports avatar
愛爾達體育家族 ELTA Sports
@eltasportshd
Subscribers1M
Views1.2B
Videos39K
愛爾達體育家族 ELTA SportsPublished at May 25, 2026 at 06:34 PM2:11
【MLB】道奇客場擒酒鬼 山本七局好投奪勝/愛爾達電視20260525 thumbnail

【MLB】道奇客場擒酒鬼 山本七局好投奪勝/愛爾達電視20260525

12 days agoActive window
mlb20260525mlb 20260525
Published time
May 25, 2026 at 06:34 PM
Duration
2:11
Video type
Sports
Channel region
Taiwan
Publish Timing Insight
Not enough timing data
This channel still lacks enough historical upload timing data. Let the channel accumulate more snapshots before evaluating the best timing.
Monetization Insight
No clear monetization tags yet
Focus on view growth, engagement quality, and topic competition to judge monetization potential.
Action Suggestion
Watch for sustained growth
The basic conditions are already in place. Keep watching 7-day views and revenue before deciding whether this topic should become a series.
Views
11.1K
Likes
117
Comments
4
Estimated Daily Revenue
-
Estimated Total Revenue
$7.35 - $42.86
RPM Range
$0.66 - $3.85
1D Views Gain
0
7D Views Gain
0
1D Likes Gain
0
7D Likes Gain
0
1D Comments Gain
0
7D Comments Gain
0
Velocity Score
0%
Topic Cluster
mlb
Video Description
美國職棒大聯盟,洛杉磯道奇先發山本由伸面對密爾瓦基釀酒人,繳出七局失一分的優質內容,加上打線在五局上半發揮,終場道奇5:1擊敗釀酒人,系列賽兩勝一敗。
Related Topics
Continue with closely related videos to judge topic depth and content format.
Topic: mlb
Not enough related-topic video data yet.
Video FAQs

These FAQs clarify what this video page measures, why revenue is estimated, and how to use the page for content research.

What can you learn from this video analytics page?

This page shows views, likes, comments, RPM and revenue estimates, publish timing, topic tags, related videos, and the broader channel context behind the video.

Why are RPM and revenue numbers estimates?

Actual earnings depend on monetized playbacks, audience geography, seasonality, advertiser demand, and monetization status. CloutOrbit provides directional estimates for benchmarking, not exact payouts.

How should you use this page for content research?

Compare timing, topic tags, monetization signals, and adjacent videos from the same channel to spot formats, themes, and publishing patterns worth testing.