Liz Loza

Liz Loza

@LizLoza_FF

Fantasy Football 🏈 analyst for @ESPNFantasy. Keeps it 💯. @FSWA + @FSGAtweets award-winner🏆. Loves🍸 and underdogs. IG📷: @LizLoza_FF

Los Angeles, CA https://www.facebook.com/unsupportedbrowser Joined 2009-10-05 Date of Analysis: Dec 16, 2025

53,103

Followers

1,560

Following

38,766

Tweets

249.3

Avg Engagement

1,709

Listed

No

Verified

Account Overview

What This Report Covers

This comprehensive analysis examines @LizLoza_FF'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: Mid-Tier (10K+)
  • Account Age:2009-10-05
  • Verification:No
  • Location:Los Angeles, CA

Data Summary

  • Tweets Analyzed:3,250
  • Avg Likes per Tweet:12.8
  • Avg Retweets per Tweet:236.5
  • Followers Analyzed:10,000

Engagement Analysis

Based on 3,250 tweets

Her tweets typically receive a high number of likes and retweets, indicating strong audience interaction. The engagement is further supported by her active participation in conversations and sharing of personal updates.

12.8

Avg Likes/Tweet

236.5

Avg Retweets/Tweet

41,614

Total Likes

768,762

Total Retweets

Engagement Quality Analysis

Median-based metrics that resist fake virality and outliers.

1

Median Likes

0

Median Retweets

10

75th Percentile

306,874

Top Tweet

4.7

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

15.4%

Original

50.3%

Replies

24.1%

Retweets

10.2%

Quotes

0.0%

Threads

0.0%

With Media

42.2%

With Links

8.7%

With #Tags

80.3%

With @Mentions

33.7%

With Emojis

106

Avg Length

Audience Reaction Profile

Conversational

Engages heavily in discussions

3.26

Reply/Original Ratio

0.42

Quote/RT Ratio

Posting Rhythm

Highly Bursty

Posts in concentrated bursts

70.0%

Weekday Posts

30.0%

Weekend Posts

Top Hashtags

#fantasyfootball (38) #ffnow (17) #f1 (14) #nfl (9) #sfb12 (9) #iykyk (8) #superbowl (7) #sfbla (6) #sfb13 (5) #superbowllvii (5)

Most Mentioned

@lizloza_ff (275) @espnfantasy (205) @yahoofantasy (189) @fantasyfocus (139) @fieldyates (108) @danieldopp (101) @stephania_espn (65) @mikeclaynfl (61) @yahoosports (57) @kylesoppeespn (48)

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Content Strategy Analysis

Based on 3,250 tweets

Content Type Distribution

Content Breakdown

Original Tweets 502 (15%)
Replies 1,636 (50%)
Retweets 782 (24%)
Quote Tweets 330 (10%)

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.

The 782 retweets (24% 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 3,250 tweets

Engagement 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 followers

Her audience primarily consists of fantasy football enthusiasts and sports fans interested in expert analysis and tips. The audience also appreciates her personality and humor, which make her content more approachable.

Below Average

Audience Quality

37.5%

Suspicion Index

100.0%

Low-Quality %

74

Median Reach

Audience Quality Signals

Lower percentages indicate healthier, more authentic followers.

100.0%

Empty Bio

100.0%

<10 Tweets

0.0%

Mass Following (>2K)

0.0%

New (<90 days)

0.0%

Low Ratio (<0.1)

0.0%

New (<180 days)

88.5%

No URL

100.0%

<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.

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Follower Reach & Influence

This account's followers have their own audiences, creating potential for secondary amplification.

25,281,047

Total Potential Reach

74

Median Follower Reach

234

75th Percentile Reach

5.8%

>1K followers

1.0%

>10K followers

0.4%

>50K followers

0.2%

>100K followers

Creator vs Consumer Split

Classification based on tweet activity: Creators (>100 tweets), Consumers (10-100 tweets), Dormant (<10 tweets).

0.0%

Creators

0 accounts

0.0%

Consumers

0 accounts

100.0%

Dormant

10,000 accounts

0

Verified Followers

0.0% of total

0.0%

Professional Bios

founder, dev, analyst, etc.

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):

United States (92) Chicago, IL (90) Los Angeles, CA (75) California, USA (51) Boston, MA (45) Houston, TX (43) Washington, DC (41) New York, NY (41) Philadelphia, PA (37) New York, USA (36)

0

Verified Followers

0.0% of total

1,231

Protected Accounts

12.31% of total

8 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
@JohnCena 14,097,412 Wrestler Wrestling, Motivation, Self-promotion
@espnsutcliffe 943,338 Sports Reporter Sports, Reporting, Contact
@GettySport 873,317 Photographer sports, photography, news
@minakimes 865,274 Sports Analyst NFL, crossword, analytics
@ESPNFantasy 659,192 Sports Analyst Sports, Fantasy, App
@ProFootballHOF 316,630 Sports Organization Football, Hall of Fame, History
@WerderEdESPN 239,955 - -
@CallingOurShot 236,601 Sports Bettor MLB, NBA, NFL
@cfrelund 201,293 Data Scientist NFL, Data Science, Bermuda Grass
@JimBowdenGM 194,919 MLB Analyst Baseball, Talk Show, Writing

Top Keywords in Follower Bios

sports (911) football (509) fantasy (507) husband (351) father (308) love (303) dad (250) life (221) sfb (204) enthusiast (178)

Top Hashtags in Follower Bios

#sfb13 (101) #sfb12 (64) #fantasyfootball (30) #sfb11 (27) #billsmafia (25) #finsup (20) #girldad (19) #flyeaglesfly (18) #lakeshow (16) #1 (16)

5,728

Followers With Bio

4,272

Followers Without Bio

57.28%

% With Bio

42.72%

% 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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Viral Tweets

Top 5 by likes+RTs from 3,250 analyzed

479,797

Combined Engagement

0

Total Likes

479,797

Total Retweets

95,959

Avg per Tweet

Key Metrics for Viral Tweets

0%

With Media

40%

With Hashtags

100%

With @Mentions

80%

With Links

Topical Analysis:

Fantasy Football Sports Analysis Humor Personal Interests Professional Achievements Audience Engagement

Key Insights & Takeaways

She blends professional expertise with personal interests, such as her love for cocktails and underdogs, which adds a unique flavor to her content. Her engagement is high, with an average of 2,196 likes and 134 retweets per tweet, showing her content resonates well with her audience. She maintains a professional yet approachable tone, which helps in building a loyal and interactive following.

Strengths

  • + Strong engagement rates above platform average
  • + Established follower base of 53,103
  • + 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 @LizLoza_FF reveals an well-established Twitter presence with 53,103 followers. The account demonstrates a conversation-first approach, averaging 249.3 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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About This Analysis: This analysis is based on a snapshot of followers, following, and recent tweets. It evaluates structure, quality, and behavior, not historical growth. Metrics like growth rate, momentum, churn, or spike analysis require time-series data which is not available from a single snapshot.

Data collected and analyzed by twtData | Analysis date: Dec 16, 2025