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Matt Rhea, PhD

@MattRheaPhD · United States · joined 25 Jan 2012

Athlete Engineer. Strength and Conditioning Coach. Sport Scientist.

33 726Followers
74Following
3 597Posts total
49.7KViews on collected posts

โพสต์ล่าสุด

Two men that I got to watch do it the right way every day! @Mathieu_Era @taeetaylor Are you looking for a reason to not play or are you doing everything in your power to get out there with your teammates? 3.6K views · 4 likes · 0 reposts · 0 replies Open on X →
Three seasons, zero missed games 😳 Alontae Taylor and Tyrann Mathieu explain the mindset behind showing up every Sunday 👇 “I heard Tyrann come out of the training room one day and say, ‘Are you hurt or are you injured?’ Two totally different things… I was telling the guys http
5:26
6K views · 66 likes · 3 reposts · 2 replies Open on X →
@MattRheaPhD Why not? Many student interns take internships at other institutions. It allows for developing other relationships and pipelines 131 views · 0 likes · 0 reposts · 1 replies Open on X →
@MattRheaPhD This is an interesting take. I interned for my own university, but was also encouraged to intern at another. It seems like a great way to broaden your horizons and learn from more than one master strength coach. 373 views · 2 likes · 0 reposts · 0 replies Open on X →
College S&C/Sport Sci depts “hiring”interns that aren’t part of your university student body is absurd. You realize the only reason you have college athletics is because of academics, right?There shouldn’t be an intern in your operation that isn’t a student at your institution. 9.7K views · 30 likes · 2 reposts · 4 replies Open on X →
Grandkids, fireworks, BBQ, and Baseball! Have a day America! 🇺🇸 https://t.co/0113MXiE10
2.3K views · 35 likes · 0 reposts · 0 replies Open on X →
You don’t have to rely on the “experts” to make sense of research literature or just trust that someone is giving you accurate info. Anyone can find research-backed answers through AI tools. So if you want to know if the weight room improves speed in athletes, for example, ⬇️ htt
3.1K views · 13 likes · 3 reposts · 1 replies Open on X →
@MattRheaPhD How has the injury rate changed to, let’s say, pre-2000? More? Less? Different? 248 views · 1 likes · 0 reposts · 0 replies Open on X →
I don’t care if we call it injury prevention, injury risk mitigation, or something else but instead of arguing semantics, we need to focus more time and effort on identifying the things that actually make sports participation safer and keep athletes healthier. 1.6K views · 17 likes · 2 reposts · 2 replies Open on X →
If we then implement a program or system that addresses those risk factors and then see an injury rate below what would be predicted, we can say we had a positive impact. 1.7K views · 5 likes · 0 reposts · 1 replies Open on X →
Can we predict injuries in sports? YES. Based on published research over past 15 years, we can predict how many injuries will occur per 1,000 hours of athlete exposure. ~30 in soccer, 75 rugby, 20 American Football, 9 basketball, 2 baseball and softball, and 35 in hockey. 19.6K views · 47 likes · 11 reposts · 4 replies Open on X →
Can we prevent injuries in sports? YES. By examining trends in those athletes that get injured compared to those that do not, we find characteristics that suggest an athlete might be at greater risk. Strength, hydration status, motor coordination, acute:chronic workload, etc. 1.5K views · 9 likes · 0 reposts · 1 replies Open on X →

เทียบกับบัญชีขนาดเดียวกัน

12 โพสต์จาก 90 วันที่ผ่านมา เทียบกับช่วง 10K–100K ผู้ติดตาม แสดงในวงกว้าง แต่มีผู้ชมตอบสนองน้อย.

ยอดดูมัธยฐาน2 012บัญชีนี้956ค่ามัธยฐานของ 10K–100K
การเข้าถึง, %5.97%บัญชีนี้3.52%ค่ามัธยฐานของ 10K–100K
การมีส่วนร่วม, %0.55%บัญชีนี้1.57%ค่ามัธยฐานของ 10K–100K
ตัวชี้วัดบัญชีนี้ค่ามัธยฐานของ 10K–100Kอัตราส่วน
ยอดดูมัธยฐานต่อโพสต์2 0129562.11×
การเข้าถึง (ยอดดู ÷ ผู้ติดตาม)5.97%3.52%1.70×
อัตราการมีส่วนร่วม0.55%1.57%0.35×

บัญชีอื่นในช่วงนี้ →   เปรียบเทียบกับบัญชีอื่น →   ค่าอ้างอิงเหล่านี้คำนวณอย่างไร →

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

1.5K25 Jun
19.6K
1.7K
1.6K
24826 Jun
3.1K27 Jun
2.3K4 Jul
9.7K6 Jul
3737 Jul
1318 Jul
6K24 Jul
3.6K

Last 12 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.69%25 Jun
0.32%
0.35%
1.35%
0.40%26 Jun
0.55%27 Jun
1.51%4 Jul
0.37%6 Jul
0.54%7 Jul
0.76%8 Jul
1.20%24 Jul
0.11%

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.57%.

What the audience does

Likes68.0%229 in total
Reposts6.2%21 in total
Replies4.7%16 in total
Quotes0.3%1 in total
Bookmarks20.8%70 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.

บัญชีที่คล้ายกัน