Tottenham’s Data Strategy And How They Can Still Find An Advantage | A Professionals View

Does every Premier League club really have the same data? Tottenham sporting director Johan Lange says the race to find overlooked players in leagues no one has heard of, for a tenth of the price, is over. Quantitative investor Enya and economist Raj push back, and explain how Brighton and Brentford keep finding an edge with the same data everyone else buys.

In this special Oh So Spurs x 82nd Percentile episode, Jim, Enya and Raj break down how data is really used in football recruitment: Moneyball and the 2002 Oakland A's, the efficient market hypothesis, bespoke data sets, whether data can measure attitude (Rafael Leão), why Tottenham's two 17th-place finishes weren't really about signings like Archie Gray and Lucas Bergvall, the new squad depth with Marcos Senesi and Andy Robertson, Nicolas Jackson, and what Spurs' xG says about this season.

Stick around for the end: Spurs lost 3-2 to Aston Villa but won the xG, and Raj explains why that told you the results were coming.

This is Part 1 of 3. Parts 2 and 3 with Enya and Raj are on The 82nd Percentile Patreon, with a 7-day free trial: patreon.com/cw/82ndPercentile

Data graphics: Gradient Sports

CHAPTERS
0:00 Johan Lange: "that race is over"
0:55 Why fans love Moneyball but roll their eyes at xG
3:35 Is there any edge left? The efficient market hypothesis
4:37 Same data, different chefs: how Brighton still find an edge
6:41 Bespoke data and the betting-company model
9:23 Can data see attitude? Rafael Leão and the Brighton system
12:42 Is football too random for data?
16:01 Lies, damned lies and statistics: picking the player first
20:48 Archie Gray, Lucas Bergvall and two 17th-place finishes
24:57 Is this the most balanced Spurs squad in years?
26:38 Why fans don't trust data: Nicolas Jackson and the weather app
30:48 Spurs results v xG: the Villa game and Thomas Frank
33:01 Where to hear Parts 2 and 3

#KeepItLilyWhite #OhSo33

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