Hudl Statsbomb
@Statsbomb · joined 15 Jun 2013
Leading football data analytics supporting global teams to make smarter, more informed decisions across player recruitment & match analysis.
165 048Followers
275Following
10 555Posts total
144.5KViews on collected posts
Последние посты
Ищем новые посты…
Transition possession rate vs transition xG, Bundesliga 2025/26
Which clubs generate the most transition moments - and which turn them into chances?
Full report: https://t.co/CY6TDCC2ij https://t.co/UIvgAebStM
8.2K views · 36 likes
· 2 reposts · 2 replies
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400+ delegates. 64 professional clubs. 39 expert speakers. One unforgettable day.
Hudl Performance Insights is back. 🔥
📍 Emirates Stadium | November 13, 2026
Secure your spot before it sells out → https://t.co/boBdrOPXfD https://t.co/s9x1inyQH5
5.3K views · 1 likes
· 0 reposts · 1 replies
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0:50
Phases of Play: a new model in the Hudl Statsbomb API
Understand whether moments happen in control or transition, where they happen, and how directly teams attack.
Context for every possession across 200+ competitions
Full details: https://t.co/N75c0kxzom https://t.co/ipAoeiRU
11K views · 71 likes
· 8 reposts · 0 replies
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1:39
We're delighted to announce that Gaizka Mendieta will be speaking at Hudl Performance Insights 2026
Gaizka is a former professional player (Valencia, Barcelona) who knows the level of preparation required to perform at the top level.
Tickets & more info: https://t.co/iHUcSGonKG
5.3K views · 3 likes
· 0 reposts · 0 replies
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Most providers cover the big leagues. We cover the world.
More competitions. The deepest data. The most advanced models.
Only with Hudl Statsbomb. https://t.co/6hOI4w427U
3.7K views · 2 likes
· 0 reposts · 0 replies
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Our most recent free data release: five complete women's leagues covering 2023-2024
🇺🇸 NWSL
🏴 WSL
🇮🇹 Serie A
🇪🇸 Liga F
🇩🇪 Frauen-Bundesliga
771 matches. 2.6million rows of event data. The largest women's football dataset publicly available 🔽
https://t.co/UwywRnVmlX https:
9.5K views · 37 likes
· 3 reposts · 0 replies
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Hudl Live Football Data. What's in the feed?
▪️ 2,400+ live match events per game
▪️ Live xG, the instant the chance happens
▪️ Live shot freeze frames, every visible player positioned at the strike
Available now. Learn more ▶️ https://t.co/YCnN2otVDV
6.7K views · 20 likes
· 1 reposts · 0 replies
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@Statsbomb If Bundesliga is the most transition-heavy top-5 league, its goal-total lines should carry a wider variance band than possession-heavy leagues. Split transition xG from build-up xG and static team-average pricing misses exactly that gap.
130 views · 0 likes
· 0 reposts · 0 replies
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@Statsbomb A 🆕 in the tweet. 'Recruiting for Transition.' Bless. Just press them. The rest is a memo.
94 views · 0 likes
· 0 reposts · 0 replies
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Recruiting for Transition: A Data-Driven Scouting Blueprint for the Bundesliga 🆕
A new report on the most transition-heavy league in Europe's top five - and what that means for the clubs recruiting into it.
Read it ▶️ https://t.co/FG47goLn7V https://t.co/4YVTmHshnh
9.7K views · 54 likes
· 3 reposts · 2 replies
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@Statsbomb Looks brilliant, Hudl is a great platform on the computer. Please invest in the mobile applications, they are terrible. 90% of players watch through mobile devices, and the UI is so poor on them.
403 views · 2 likes
· 0 reposts · 0 replies
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Introducing the new Hudl Statsbomb
An enhanced, purpose-built Statsbomb platform with integrated Wyscout video is available to customers now
The best data. The best video. One platform. One unified workflow.
Learn more ▶️ https://t.co/S9qdKWke3l https://t.co/gOIYjNuLLK
84.4K views · 76 likes
· 11 reposts · 5 replies
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1:05
На фоне аккаунтов своего размера
10 постов за последние 90 дней рядом с диапазоном 100K–1M подписчиков. показывается широко, но откликается мало кто.
Медианные просмотры6 018этот аккаунт5 983медиана для 100K–1M
Охват, %3.65%этот аккаунт1.49%медиана для 100K–1M
Вовлечённость, %0.18%этот аккаунт0.93%медиана для 100K–1M
| Показатель | Этот аккаунт | Медиана для 100K–1M | Отношение |
|---|---|---|---|
| Медианные просмотры на пост | 6 018 | 5 983 | 1.01× |
| Охват (просмотры ÷ подписчики) | 3.65% | 1.49% | 2.45× |
| Вовлечённость | 0.18% | 0.93% | 0.20× |
Другие в этом диапазоне → Сравнить с другим аккаунтом → Как считаются эти ориентиры →
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
84.4K28 Jul
40329 Jul
725 Dec
627 Jul
9.7K7 Sep
94
130
6.7K
9.5K8 Sep
3.7K
5.3K16 Sep
11K17 Sep
5.3K
8.2K
Last 14 collected posts, oldest on the left. The scale is logarithmic: one post can outrun the rest a hundred times over.
Engagement rate per post
0.12%28 Jul
0.50%29 Jul
0.00%5 Dec
0.00%27 Jul
0.61%7 Sep
0.00%
0.00%
0.31%
0.43%8 Sep
0.05%
0.06%16 Sep
0.72%17 Sep
0.04%
0.49%
Reactions — likes, reposts, replies and quotes — divided by views. Median for 100K–1M accounts is 0.93%.
What the audience does
Likes52.9%302 in total
Reposts4.9%28 in total
Replies1.8%10 in total
Quotes1.2%7 in total
Bookmarks39.2%224 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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