Erik Haslam ✓

@haslametrics · Oregon, WI · joined 26 Apr 2010

Owner of NCAA hoops site https://t.co/9xyMCtuMho & a loyal Packers fan. Riding the #AnalyticallyFinal train since ‘14. I trust folks who curse. Homerism is a disorder.

31 973Followers

874Following

99 220Posts total

11.2KViews on collected posts

Postingan terbaru

Erik Haslam ✓@haslametrics20 Sep

@haslametrics The Pack needs to do better. Penalties, dropped passes, QB protection, etc. 14 views · 1 likes · 0 reposts · 1 replies Open on X →

Erik Haslam ✓@haslametrics20 Sep

@haslametrics Was actually happy because it meant I had to watch less of the FOX Cowboys Game of the Week. Just once some variety in these 3 p.m. windows would be nice instead of NFC East (or Packers) every week. 142 views · 2 likes · 0 reposts · 1 replies Open on X →

Erik Haslam ✓@haslametrics20 Sep

Any bets on whether the Sunday night game kicks off before the Bucs-Browns noon game finishes? 3.5K views · 10 likes · 0 reposts · 0 replies Open on X →

Erik Haslam ✓@haslametrics20 Sep

Scientists will be studying for years how the Packers won that football game. 2.6K views · 13 likes · 1 reposts · 6 replies Open on X →

Erik Haslam ✓@haslametrics20 Sep

@haslametrics I guess a team that falls behind the Jets 17-7 can be expected to struggle to get 20 yards despite having all the offensive momentum in the 4th 117 views · 2 likes · 0 reposts · 0 replies Open on X →

Erik Haslam ✓@haslametrics20 Sep

The true tragedy on this day is that the sports world will be subjected to bonus football of Packers-Jets. 3K views · 15 likes · 0 reposts · 3 replies Open on X →

Erik Haslam ✓@haslametrics20 Sep

Packers with 13 penalties for 129 yards — and still more than nine minutes to play. Positively brutal. 1.9K views · 6 likes · 0 reposts · 0 replies Open on X →

Erik Haslam ✓@haslametrics7 Nov 2022

Your #AnalyticallyFinal cheat sheet once again for the college basketball season. Will pin it to my profile for easy access. https://t.co/bVXDZavYgv

0 views · 672 likes · 37 reposts · 30 replies Open on X →

Dibandingkan akun berukuran sama

7 postingan dari 90 hari terakhir, dibandingkan dengan rentang 10K–100K pengikut. tampil luas, tetapi sedikit penonton yang merespons.

Median tayangan1 888akun ini924median untuk 10K–100K

Jangkauan, %5.90%akun ini3.62%median untuk 10K–100K

Interaksi, %0.78%akun ini1.52%median untuk 10K–100K

Metrik	Akun ini	Median untuk 10K–100K	Rasio
Median tayangan per postingan	1 888	924	2.04×
Jangkauan (tayangan ÷ pengikut)	5.90%	3.62%	1.63×
Tingkat interaksi	0.78%	1.52%	0.51×

Akun lain pada rentang ini → Bandingkan dengan akun lain → Bagaimana tolok ukur ini disusun →

Growth & engagement

How the posts we collected actually performed: views and reaction rate post by post, what the audience did with them, and where the follower count goes.

Views per post

1.9K20 Sep

117

2.6K

3.5K

142

Last 7 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.32%20 Sep

0.61%

1.71%

0.77%

0.29%

2.11%

14.29%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.52%.

What the audience does

Likes80.3%49 in total

Reposts1.6%1 in total

Replies18.0%11 in total

Share of every reaction we collected for this account. Replies mean argument, reposts mean endorsement, bookmarks mean the post was worth keeping.

The follower curve appears once this account has two daily snapshots — we take one a day, and this one is on its first.

Postingan terbaru

Dibandingkan akun berukuran sama

Growth & engagement

Views per post

Engagement rate per post

What the audience does

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