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Mike Gribanov (Grib's Basketball Lab)

@mikegrib8 · Los Angeles, CA · joined 05 Aug 2016

mikegrib8@gmail.com NBPA TOP 100 Selection Committee https://t.co/p317ekxMjt Pragmatic scouting & iterative humility = theory-rich field-ready prescription

10 875Followers
3 582Following
74 442Posts total
38.5KViews on collected posts

Latest posts

Want to share this again. Im comkng real closw rn. Just got an astra usage refresh about to go hard in paint for hopefully a final stretch 743 views · 3 likes · 0 reposts · 0 replies Open on X →
Another pleasant surprise has been Italian Serie A. 3rd best "domestic" (including VTB/Adriatic though) behind Spain and Turkey this decade. Lack the top end talent but very consistent throughout. I dont watch it as much but to my memory - less teams right? Prob doesn't hurt 407 views · 1 likes · 0 reposts · 0 replies Open on X →
Putin's blatant disregard toward the sport that I love has been disappointing, so I have been a pretty heavy critic of the recent season of VTB. That said, upon running a more detailed model to compare leagues that lack teams playing within both, I was pleasantly surprised. 687 views · 3 likes · 0 reposts · 1 replies Open on X →
One of the most uncompromisingly reliable rules of player projection: As age decreases, the projection target moves along a spectrum—from identifying an exact outcome toward identifying the approximate shape of the distribution of possible outcomes. 659 views · 11 likes · 1 reposts · 0 replies Open on X →
@mikegrib8 Congratulations on this work, the player page below looks amazing. 55 views · 1 likes · 0 reposts · 0 replies Open on X →
A mock up design of of player pages. It wont be exactly this but fairly close and very few options here wont appear on the site. Plus some that arent in pic https://t.co/uVnB0s7kHu
390 views · 1 likes · 0 reposts · 0 replies Open on X →
Also for pre draft all players since 2014 draft have extensive pre drsft data as prior. Public data will start in 2019 but since 2015 i will track over 20 diff leagues around the world. Elite players outside "Core4 leagues" will also be part of what is published https://t.co/F4ia
2.1K views · 9 likes · 1 reposts · 3 replies Open on X →
Please support my Patreon! I know I haven’t put out as much lately, but the GRBNU beta is coming there soon: a full player-rating system inspired by DARKO/EPM/xRAPM, with NBA, EuroLeague, EuroCup & G League ratings and priors from leagues around the world. 2.5K views · 15 likes · 4 reposts · 1 replies Open on X →
@mikegrib8 So PROUD of you my Mischkababy 😘🤩🎉, upgrade to encrypted DMs ...waiting on u q.t https://t.co/DbVZmJk9ZO
0:08
309 views · 1 likes · 0 reposts · 0 replies Open on X →
https://t.co/jC7Edc9r8B 1.9K views · 3 likes · 2 reposts · 0 replies Open on X →
The model is here.. I still have some work to do but the app is up and running it seems like. I've never used netlify before but seems to be working. Link below 28.7K views · 35 likes · 6 reposts · 4 replies Open on X →

Against accounts of the same size

8 posts from the last 90 days, next to the 10K–100K follower range. shown widely, but few of those viewers react.

Median views673this account924median for 10K–100K
Reach, %6.19%this account3.62%median for 10K–100K
Engagement, %0.62%this account1.52%median for 10K–100K
MetricThis accountMedian for 10K–100KRatio
Median views per post6739240.73×
Reach (views ÷ followers)6.19%3.62%1.71×
Engagement rate0.62%1.52%0.41×

Others in this range →   Compare with another account →   How these benchmarks are built →

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

28.7K23 Feb
1.9K
30929 Apr
2.5K21 Sep
2.1K
390
55
659
687
40722 Sep
743

Last 11 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.17%23 Feb
0.26%
0.32%29 Apr
0.83%21 Sep
0.66%
0.26%
1.82%
1.82%
0.58%
0.25%22 Sep
0.40%

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

What the audience does

Likes63.4%83 in total
Reposts10.7%14 in total
Replies6.9%9 in total
Quotes3.8%5 in total
Bookmarks15.3%20 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.

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