Big Data Football

BDF Labs is part of the Altmarks Research Network.

[Big Data Football @bigdatafoot]

Building and Applying a Pitch Control Model in Python https://t.co/cgw7ADOAm2

[Big Data Football @bigdatafoot]

@espn please get rid of the ticker. It’s screen pollution. #ElTrafico

[Penalty Kick Stat @PenaltyKickStat]

Probably the greatest penalty I’ve personally vizzed. #LFC
🏆🏆🏆🏆🏆🏆
🔴🔴🔴🔴🔴🔴 ⭐️⭐️⭐️⭐️⭐️⭐️
Mo Salah @LFC
The Egyptian King.

[Ben Mayhew @experimental361]

In light of the "Arsenal would be 19th if all matches ended at half time" stat doing the rounds this week, here's a GIF showing where every Premier League club would be sitting if matches ended earlier: https://t.co/zVvfadJRXe

(full explanation and pause-able GIF via the link)

[Big Data Football @bigdatafoot]

Getting into good positions and taking shots. #EPL

[David Sumpter @Soccermatics]

I just talked to an AI bot about football.

How cool is that! 🤖🤖🤖

[Big Data Football @bigdatafoot]

Data Analytics in Football: Positional Data Collection, Modelling and ... https://t.co/Z2QmWlefgj #Football #BigData #mustread

[Big Data Football @bigdatafoot]

Home field advantage, for all teams, in all four major league American sports https://t.co/GVQbMj7920

[Big Data Football @bigdatafoot]

The best passers, hardest workers and slowest players of the World Cup so far https://t.co/WSEyzll7An

[Laurie Shaw @EightyFivePoint]

The probability of each country finishing in each position in their group table, from 1st to 4th. The Qual column indicates the probability of qualifying for the knock-out stage.

Based on 10k sims of the tournament. More details here: https://t.co/s6F0ZScgCA

[Big Data Football @bigdatafoot]

Analysis of corners taken/scored around Europe (and the Football League) https://t.co/DyjC32gPFv

[Big Data Football @bigdatafoot]

The Ability of Goalkeepers to Save Freekicks With & Without a Wall https://t.co/F1mDAdOCJr

[Chance Analytics @ChanceAnalytics]

How many goals should a penalty taker score? @mattallen001 takes a look behind the probabilities of penalty taking. https://t.co/OcirpkeWoW

[Big Data Football @bigdatafoot]

An Introductory guide to the xG statistic. The Good and the Bad. u/vikigenius https://t.co/yau4jgy3M9

[mark taylor @MarkTaylor0]

Lots of teams still deeply involved in #PremierLeague relegation scrap. here's the final simulations & the number of remaining head to heads. #Swansfc #scfc #wba #whufc #saintsfc #nufc #bhafc #htfc Data @InfoGolApp

[Sports Open Data @sportsopendata]

Discover @EuropaLeague #OpenData dataset on @sportsopendata you could find #results of all matches of this season #EuropaLeague Get #Napoli #AtleticoMadrid #Milan #Lazio #Lyon data and give us a feedback #Developers #dataset #DataMining #stats #opensource https://t.co/JSaILCKsqX

[Laurie Shaw @EightyFivePoint]

Latest EPL projections after last weekend.

Order of top half of table is well established; bottom half very hard to call.

@ManCity expected to end on 95 points, equalling @ChelseaFC's (and Mourinho's) 04/05 points record. Title race might be over, but Mou vs Gua still on there!

[Big Data Football @bigdatafoot]

Measuring Changes in Attacking Style in the Premier League https://t.co/k7dkDHd6s4

[mark taylor @MarkTaylor0]

Viz of #PremierLeague shot stopping 2017/18. >99% of ave keepers would concede more than de Gea has #mufc given the quality of on target attempts he's faced. 54% for Begovic #afcb, 26% Pickford #efc Glut of past/present England keepers bring up the rear. Data @InfoGolApp