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SIS

@SportsInfo_SIS · Bethlehem, PA · joined 19 Oct 2016

Real-time, rich sports data for betting & media. Provides trusted analytics to ESPN, NFL, NBA, MLB, & Sportsbooks. ⚾️@sis_baseball 🏈@football_SIS 🏀@sis_hoops

22 895Followers
697Following
16 122Posts total
24.3KViews on collected posts

Ultimi post

This week on Off The Charts, our crew tried to provide explanations of football analytics that would serve as a good introduction to advanced stats. That includes both the pluses and minuses of Expected Points Added (via @VigManOnCampus) https://t.co/JJc8QMUKJS https://t.co/x
0:18
1.7K views · 3 likes · 3 reposts · 0 replies Open on X →
What does one put in a college football playoff predictor model? In the latest Off The Charts, @J_Weaver97 explains what went into his version. Lots for him and @VigManOnCampus to consider https://t.co/WZiDVJ3lG8 https://t.co/6SbGdDtqTJ
0:55
1.4K views · 5 likes · 4 reposts · 0 replies Open on X →
We collect a LOT of highly-specific football info at SIS and we've got some insights to share about it. @vigmanoncampus on our offensive line and pass rush detail data On predictable & unpredictable pass rushers, blocking analysis & more https://t.co/Dwc854FS66 1.4K views · 4 likes · 5 reposts · 0 replies Open on X →
NEW STUDY: We used our college basketball player data to fit players into different clusters and then analyzed which clusters have historically fared best in the NBA. 2 players who fall into favorable clusters: Zuby Ejiofor & Labaron Philon READ: https://t.co/Hnw9C1DRZW h
Zuby Ejiofor, wearing a blue St. John's jersey with red lettering, releases the ball on a jumpshot with his right hand over the outstretched right arm of a defender.
Labaron Philon, wearing a red Alabama 0 jersey and red shorts, with red sneakers, releases a jump shot from the corner with his right hand. One fan wearing a pink hoodie has his mouth wide open as he watches.
17.4K views · 48 likes · 12 reposts · 0 replies Open on X →
Drafting well is more important than ever for NBA teams hoping to compete for championships. @clee_data uses SIS data to determine which player archetypes offer the most consistent draft hit rates: https://t.co/Hnw9C1DRZW 2.5K views · 6 likes · 4 reposts · 0 replies Open on X →

Rispetto ad account della stessa dimensione

3 post degli ultimi 90 giorni, accanto alla fascia di 10K–100K follower. arriva a molti, ma pochi di loro reagiscono.

Visualizzazioni mediane1 403questo account924mediana per 10K–100K
Copertura, %6.13%questo account3.62%mediana per 10K–100K
Interazione, %0.64%questo account1.52%mediana per 10K–100K
MetricaQuesto accountMediana per 10K–100KRapporto
Visualizzazioni mediane per post1 4039241.52×
Copertura (visualizzazioni ÷ follower)6.13%3.62%1.69×
Tasso di interazione0.64%1.52%0.42×

Altri account di questa fascia →   Confronta con un altro account →   Come sono costruiti questi parametri →

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

2.5K22 Jun
17.4K23 Jun
1.4K21 Jul
1.4K23 Jul
1.7K13 Aug

Last 5 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.40%22 Jun
0.35%23 Jun
0.64%21 Jul
0.64%23 Jul
0.36%13 Aug

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

What the audience does

Likes57.4%66 in total
Reposts24.3%28 in total
Quotes0.9%1 in total
Bookmarks17.4%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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