Spencer Mossman ✓

@fc_mossman · Florida, USA · joined 13 Jan 2017

trying to apply data to football intelligently; @beyond90ftbl; DM for inquiries

25 757Followers

953Following

10 128Posts total

542.3KViews on collected posts

Posts recentes

Spencer Mossman ✓@fc_mossman20 Sep

Just a guess but I would assume David Raya has also faced a higher percentage of shots from outside the box than most keepers, because Arsenal has such a strong defense. So I think this says something very different than what it’s trying to. 55.9K views · 1K likes · 66 reposts · 12 replies Open on X →

Spencer Mossman ✓@fc_mossman19 Sep

Rudder x engine remains my favorite pivot combo. Rudder: positionally intelligent oop, recycler and progressor Engine: box to box runner, carrier, up and down the pitch active everywhere Chema x Ayari is a textbook example of this… balanced and complimentary. 6.3K views · 95 likes · 5 reposts · 3 replies Open on X →

Spencer Mossman ✓@fc_mossman19 Sep

Big 24 hours for team #data 7.3K views · 63 likes · 0 reposts · 3 replies Open on X →

Spencer Mossman ✓@fc_mossman18 Sep

Mikkel Damsgaard as Iraola’s 10 would go quadruple platinum 25.1K views · 365 likes · 9 reposts · 10 replies Open on X →

Spencer Mossman ✓@fc_mossman20 Aug 2025

@fc_mossman one of the best pieces i’ve read and this a great thing you’ve made. can see this becoming a big thing later on. great stuff 411 views · 1 likes · 0 reposts · 0 replies Open on X →

Spencer Mossman ✓@fc_mossman22 Jan 2025

@fc_mossman I really liked it a lot, the intuition behind it is what striked me. I liked the VP model as well. 1.5K views · 3 likes · 0 reposts · 1 replies Open on X →

Spencer Mossman ✓@fc_mossman1 Nov 2024

@fc_mossman It's a model that interested me. It considers the average position of a player and then infers the value of each action in terms of eventing. It is halfway between a rating and xT/EPV but considering only FBref data, pure eventing, without coordinates or tracking. 2.1K views · 6 likes · 0 reposts · 1 replies Open on X →

Spencer Mossman ✓@fc_mossman31 Oct 2024

My new player Action Impact Model (AIM), explained. If you have an interest in football analytics, I encourage you to give this a read and share any thoughts or feedback for improvements. 🤝 The Action Impact Model https://t.co/NQC1XozJZ7 443.7K views · 350 likes · 23 reposts · 14 replies Open on X →

Em comparação com contas do mesmo porte

4 posts dos últimos 90 dias, ao lado da faixa de 10K–100K seguidores. aparece para mais gente do que contas do mesmo porte.

Mediana de visualizações16 162esta conta1 020mediana para 10K–100K

Alcance, %62.75%esta conta4.00%mediana para 10K–100K

Engajamento, %1.61%esta conta1.55%mediana para 10K–100K

Métrica	Esta conta	Mediana para 10K–100K	Proporção
Mediana de visualizações por post	16 162	1 020	15.8×
Alcance (visualizações ÷ seguidores)	62.75%	4.00%	15.7×
Taxa de engajamento	1.61%	1.55%	1.04×

Outras contas desta faixa → Comparar com outra conta → Como estas referências são construídas →

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

443.7K31 Oct

2.1K1 Nov

1.5K22 Jan

41120 Aug

25.1K18 Sep

7.3K19 Sep

6.3K

55.9K20 Sep

Last 8 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.

Engagement rate per post

0.09%31 Oct

0.33%1 Nov

0.26%22 Jan

0.24%20 Aug

1.56%18 Sep

0.91%19 Sep

1.66%

1.97%20 Sep

Reactions — likes, reposts, replies and quotes — divided by views. Median for 10K–100K accounts is 1.55%.

What the audience does

Likes76.3%1 898 in total

Reposts4.1%103 in total

Replies1.8%44 in total

Quotes0.8%19 in total

Bookmarks17.0%422 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.