One hint.
The report has 4 tabs.
The prize isn't in any of them.
#JuveMetrics
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Hashtag
#JuveMetrics
Advertisement · 728 × 90
There's something hidden in our #JuveGenoa pre-match report.
We're not telling you what it is.
We're not telling you where it is.
🔗 juvemetrics.github.io/JMetrics/jma-g31-juve-genoa.html
#JuveMetrics
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What does this mean for the summer window?
Juventus don't need another possession recycler.
They need profiles that turn territorial dominance into open play xG — pressers who win the ball high, runners who attack depth, finishers who convert.
#JuveMetrics #Juventus #SerieA #FootballAnalytics
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Juventus win with LESS possession.
In wins: 53.6% avg possession.
In losses: 55.6%.
Correlation between possession and points: r = −0.273.
The data tells a story most people aren't telling. 🧵 #JuveMetrics
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Only two candidates clear both thresholds:
▲ Carnesecchi (Atalanta) — 76.5% Sv% · 3.1/90 → beats the benchmark
▲ Caprile (Cagliari) — 70.5% Sv% · 3.4/90 → highest workload in Serie A
Everyone else falls short on at least one axis.
No opinions. Just the scatter plot.
#JuveMetrics #Juventus
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Data says Juve wins.
But counter threat + duel dominance make this harder than the table suggests.
Post-match analysis within 24h.
We track what we get right. And what we get wrong.
That's the point. ⚪⚫ #JuveMetrics
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⚽ Udinese vs Juventus | Serie A G29 | 8:45PM
Pre-match analysis is live.
Radar breakdown, Players to Watch & 4 data-driven predictions — all published before kickoff.
That's how we do it. 🧵👇
#JuveMetrics #SerieA #UdineseJuventus
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3 proprietary models to analyze Juventus. No opinions.
JPI → player rating per game, 0–10 by role
JTR → transfer score: TFS×0.60 + TRS×0.40
JMA → prediction before kickoff. Verified after.
📊 #JuveMetrics #SerieA #Juventus
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McKennie 2025/26:
xG /90: 0.30 (+173% vs anno scorso)
SCA /90: 1.65 (+94%)
xGChain /90: 0.63 (+54%)
Rinnovo al 2030.
I numeri spiegano perché.
📊 #JuveMetrics
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