1хBet
Proud Global Partner of @FCBarcelona, @CAF_Online Regional Partner of @SerieA_EN, @PSG_English, @losclive TG Channel: https://t.me/onexbet_only
125,443
Followers
51
Following
39,222
Tweets
18.6
Avg Engagement
100
Listed
Yes
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @1xBet_Eng's Twitter/X presence across multiple dimensions. We analyze tweet content, engagement patterns, audience demographics, posting habits, and network connections to provide actionable insights about this account's social media strategy and influence.
Account Classification
- Account Size: Macro Influencer (100K+)
- Account Age:2017-04-27
- Verification:Yes
- Location:Not specified
Data Summary
- Tweets Analyzed:3,240
- Avg Likes per Tweet:15.7
- Avg Retweets per Tweet:3.0
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,240 tweetsThe account maintains a high average engagement rate with likes and retweets, indicating strong interaction with its audience. Polls and questions are used effectively to drive participation.
15.7
Avg Likes/Tweet
3.0
Avg Retweets/Tweet
50,751
Total Likes
9,569
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
0
Median Likes
0
Median Retweets
1
75th Percentile
8,198
Top Tweet
0.15
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Conversationalist
Highly engaged in discussions
17.8%
Original
81.8%
Replies
0.0%
Retweets
0.4%
Quotes
0.0%
Threads
0.6%
With Media
23.2%
With Links
15.2%
With #Tags
80.4%
With @Mentions
23.6%
With Emojis
148
Avg Length
Audience Reaction Profile
Conversational
Engages heavily in discussions
4.6
Reply/Original Ratio
0
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
72.5%
Weekday Posts
27.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,240 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This account prioritizes community engagement over content broadcasting. With replies making up the majority of their activity, they invest significant time in conversations, building relationships with followers and participating in discussions. This approach typically leads to higher loyalty and more authentic connections.
Posting Patterns & Optimal Timing
Based on 3,240 tweetsEngagement by Hour (UTC)
Posting Frequency Over Time
Timing Insights
Understanding when an account posts and when their audience is most responsive provides valuable competitive intelligence. The charts above show when this account's content receives the most engagement, which often correlates with when their specific audience is most active on the platform.
Peak posting times vary significantly based on an account's audience demographics, timezone distribution, and content type. Accounts with global audiences often see engagement spread across multiple time windows, while those with regional focus may have more concentrated peaks.
Audience Demographics
Based on 10,000 followersThe primary audience is football enthusiasts and bettors interested in top players and matches. The content appeals to fans of major clubs and leagues like Barcelona, Serie A, and PSG.
Average
Audience Quality
22.3%
Suspicion Index
28.7%
Low-Quality %
24
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
41.3%
Empty Bio
27.2%
<10 Tweets
7.0%
Mass Following (>2K)
0.0%
New (<90 days)
45.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.3%
No URL
16.1%
<3 Tweets
Free Mode Analysis: These quality metrics use heuristic signals (empty bios, low tweets, suspicious ratios). For ML-powered bot detection with 95%+ accuracy, use our dedicated tool.
Try Bot DetectorFollower Reach & Influence
This account's followers have their own audiences, creating potential for secondary amplification.
7,425,949
Total Potential Reach
24
Median Follower Reach
114
75th Percentile Reach
5.7%
>1K followers
0.6%
>10K followers
0.2%
>50K followers
0.1%
>100K followers
Creator vs Consumer Split
Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).
45.5%
Creators
4,549 accounts
27.3%
Consumers
2,729 accounts
27.2%
Dormant
2,722 accounts
Follower Influence Distribution
How many followers do their followers have?
Follower Account Age
How long have followers been on Twitter?
Geographic Distribution
Top locations where followers are based (from those who share location data):
29
Verified Followers
0.29% of total
522
Protected Accounts
5.22% of total
3 years
Avg Account Age
of their followers
Notable Followers (By Influence)
Top accounts following this user, sorted by their follower count:
| Username | Followers | Profession | Interests |
|---|---|---|---|
| @KateMillerGems | 1,254,371 | Crypto Influencer | Crypto, Gaming, Marketing |
| @Lauhype | 519,857 | Crypto Influencer | Crypto, Bitcoin, NFT |
| @comradefyat | 357,946 | - | - |
| @Web3Point2k23 | 254,932 | - | - |
| @MattShiller_ | 228,139 | Cryptocurrency Influencer | Crypto, NFTs, Memes |
| @HotMomIvy | 216,281 | - | - |
| @ShitCoinBscGem | 212,680 | - | - |
| @shitpostdobuzz | 182,407 | - | - |
| @Jaynaija | 167,724 | Blogger | Music, Fashion, Comedy |
| @TipsterDaebreak | 151,904 | - | - |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,872
Followers With Bio
4,128
Followers Without Bio
58.72%
% With Bio
41.28%
% Without Bio
Why Audience Demographics Matter
Understanding who follows an account reveals the type of influence they hold. Accounts followed primarily by users with few followers indicate broad, mainstream appeal. Those with many high-follower followers have greater potential for content amplification through secondary sharing.
Account age distribution also tells a story: a follower base with many new accounts might indicate recent viral growth, while established followers suggest long-term, stable influence. Geographic data helps understand the cultural context and timezone spread of the audience.
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Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,240 analyzed26,810
Combined Engagement
23,637
Total Likes
3,173
Total Retweets
5,362
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
40%
With Hashtags
0%
With @Mentions
80%
With Links
Topical Analysis:
Who is the most dangerous player in the world? 😼 A) Noodle hair Ronaldo B) Ankara Messi C) Mbappe in France kit D) Ramadan Karim https://t.co/GHnvJU2AUw
🔹 Rashford 🔹 Vinicius Jr. 🔹 Leao Start one, bench one, sell one 👀 https://t.co/niiVe7bdJL
The sign on his kit speaks volumes… 🐐 #Messi | #GOAT https://t.co/IctYzwxkqq
It's finally here! To celebrate reaching 100K followers, we're hosting a massive GIVEAWAY 🎁 The list of prizes: 1️⃣ MacBook Pro 13 2️⃣ Samsung Galaxy S22 Ultra 3️⃣ PlayStation 5 4️⃣ Xbox Series S 5️⃣ Samsung Galaxy Tab A8 6️⃣ POCO X3 Pro 7️⃣ Apple AirPods (3rd generation) 8️⃣ JB
Let’s decide if Osimhen leaves Napoli this summer, which #PL’s club should he join? 🤔 Just reply with a screenshot 📱 https://t.co/F6I0goGE4X
Key Insights & Takeaways
The account uses humor and pop culture references to make content relatable and engaging. It leverages partnerships with top football clubs to build credibility and attract followers. Interactive polls and questions are used to increase user participation and drive conversation.
Strengths
- + Established follower base of 125,443
- + High community engagement through conversations
- + Active presence with consistent posting
Opportunities
- ~ Optimize posting times for peak engagement windows
- ~ Analyze top-performing content for replicable patterns
- ~ Leverage geographic concentration for targeted content
- ~ Explore collaboration potential with followed accounts
Summary
This analysis of @1xBet_Eng reveals an growing Twitter presence with 125,443 followers. The account demonstrates a conversation-first approach, averaging 18.6 engagements per tweet. Key strengths include consistent posting and an engaged audience, with opportunities to further optimize timing and content strategy based on the patterns identified in this report.
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