Matteo Bonetti
🎙🎥 TV & Commentary for European Football at @CBS #ParamountPlus Champions League, Serie A & more. Formerly at ESPN.
109,953
Followers
863
Following
23,709
Tweets
377.2
Avg Engagement
1,637
Listed
No
Verified
Account Overview
What This Report Covers
This comprehensive analysis examines @Bonetti'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:2009-06-17
- Verification:No
- Location:United States
Data Summary
- Tweets Analyzed:3,247
- Avg Likes per Tweet:75.7
- Avg Retweets per Tweet:301.5
- Followers Analyzed:10,000
Engagement Analysis
Based on 3,247 tweetsBonetti's tweets typically receive a high number of likes and retweets, indicating strong audience interaction. His content is both informative and thought-provoking, which drives engagement and keeps followers interested.
75.7
Avg Likes/Tweet
301.5
Avg Retweets/Tweet
245,782
Total Likes
978,895
Total Retweets
Engagement Quality Analysis
Median-based metrics that resist fake virality and outliers.
6
Median Likes
5
Median Retweets
103
75th Percentile
75,950
Top Tweet
3.43
Engagement per 1K Followers
Normalized influence metric
Viral Spikes
Engagement Pattern
Few posts get most engagement
Posting Behavior
Content style and format preferences
Mixed
Balanced content approach
32.8%
Original
16.3%
Replies
36.8%
Retweets
14.1%
Quotes
0.0%
Threads
0.2%
With Media
52.5%
With Links
15.3%
With #Tags
56.3%
With @Mentions
27.9%
With Emojis
123
Avg Length
Audience Reaction Profile
Interactive
Balances broadcasting with conversation
0.5
Reply/Original Ratio
0.38
Quote/RT Ratio
Posting Rhythm
Somewhat Bursty
Occasional posting spikes
66.5%
Weekday Posts
33.5%
Weekend Posts
Top Hashtags
Most Mentioned
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Content Strategy Analysis
Based on 3,247 tweetsContent Type Distribution
Content Breakdown
What This Reveals About Their Strategy
This is a content-creator focused account that primarily shares original thoughts, ideas, and media. With original content dominating their feed, they position themselves as a source of new information rather than a curator. This strategy works well for establishing thought leadership.
The 1,195 retweets (37% of activity) show they also amplify content from others, which helps build relationships with other accounts and provides value to followers by surfacing relevant content.
Posting Patterns & Optimal Timing
Based on 3,247 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 followersHis audience primarily consists of football fans interested in European leagues, especially those following Serie A and the Champions League. They are likely to be engaged sports enthusiasts looking for expert insights and commentary.
Average
Audience Quality
29.8%
Suspicion Index
33.2%
Low-Quality %
42
Median Reach
Audience Quality Signals
Lower percentages indicate healthier, more authentic followers.
45.9%
Empty Bio
30.9%
<10 Tweets
19.0%
Mass Following (>2K)
0.0%
New (<90 days)
61.8%
Low Ratio (<0.1)
0.0%
New (<180 days)
91.2%
No URL
20.4%
<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.
7,048,417
Total Potential Reach
42
Median Follower Reach
174
75th Percentile Reach
5.0%
>1K followers
0.7%
>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).
48.4%
Creators
4,843 accounts
20.7%
Consumers
2,068 accounts
30.9%
Dormant
3,089 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):
60
Verified Followers
0.6% of total
795
Protected Accounts
7.95% of total
4 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 |
|---|---|---|---|
| @MicahRichards | 571,583 | Pundit | Football, punditry, writing |
| @NickRTFM | 435,590 | Streamer | FIFA, Trading, Gaming |
| @eurofootcom | 434,810 | Sports Media | Football, Europe, Home |
| @Moreno | 430,941 | Influencer | Business, Manager, Serious |
| @ercantofficial | 369,759 | Sports commentator | Spor, Spiker, Gazeteci |
| @CFCBlues_com | 296,502 | Sports Media | Football, Chelsea FC, Betting |
| @Carloalvino | 243,393 | Sportscaster | Napoli, Maradona, Telecronista |
| @TheFrankIsola | 168,321 | Sports Journalist | NBA, Radio, NYC Tabloids |
| @bee_lamsing | 161,692 | Journalist | Football, Journalism, Writing |
| @bykevinclark | 135,672 | Writer | sports, writing, podcasting |
Top Keywords in Follower Bios
Top Hashtags in Follower Bios
5,408
Followers With Bio
4,592
Followers Without Bio
54.08%
% With Bio
45.92%
% 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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Export tweets with engagement metrics, timestamps, media, and reply/retweet details as CSV.
Buy Tweets - from $15Viral Tweets
Top 5 by likes+RTs from 3,247 analyzed268,122
Combined Engagement
0
Total Likes
268,122
Total Retweets
53,624
Avg per Tweet
Key Metrics for Viral Tweets
0%
With Media
20%
With Hashtags
100%
With @Mentions
40%
With Links
Topical Analysis:
RT @M10: I really don't get where this constant negativity from the press about Cristiano comes from ... The Media is just trying to get clicks, and pundits who don't have a career anymore just want to get attention with his big name and try to make him look bad...
RT @nocontextfooty: https://t.co/xlghE4D1St
RT @SpinninBackfist: PHONE BOOTH FIGHTS??????? https://t.co/dchFqUJMuY
RT @LouisVuitton: Victory is a State of Mind. @Cristiano and #LionelMessi captured by @annieleibovitz for @LouisVuitton. In addition to a long tradition of crafting trunks for the world’s most coveted sporting trophies, the Maison celebrates two of the most talented football play
RT @TheProblem: State Sen. Nathan Dahm (R-OK) has penned several bills loosening gun restrictions, including the nation’s first anti-red flag law. He thinks these bills protect the Second Amendment – and that they make us safer. We think it's probably one or the other. Watch it o
Key Insights & Takeaways
Bonetti often highlights player development and scouting successes, such as Kiwior's performance at Spezia. He provides critical analysis on team management decisions, like Juventus' inability to sack Allegri. He uses historical context to make predictions or draw comparisons, such as the situation of Milan fans in the 90s and 2023.
Strengths
- + Strong engagement rates above platform average
- + Established follower base of 109,953
- + Strong original content creation
- + 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 @Bonetti reveals an well-established Twitter presence with 109,953 followers. The account demonstrates a content-creator strategy, averaging 377.2 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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