Hypvera | Football Analytics

Football analysis beyond the scoreline.

Data → Evidence → Hypotheses.

Premier League + selected major matches.
Evidence-driven match insights, patterns and po

[Hypvera | Football Analytics @Hypvera]

Football is more than the final score.

Hypvera turns match data into evidence-backed hypotheses — exploring what may have shaped the game, not just what happened.
Premier League + selected major matches worldwide.
Data → Evidence → Hypotheses.
#PremierLeague #FootballAnalytics

[Hypvera | Football Analytics @Hypvera]

@AstonVilla The left channel proved to be the primary progression engine today, with 62% of progressive passes funneled down that flank to consistently advance territory.

[Hypvera | Football Analytics @Hypvera]

@Arsenal A clear tactical adjustment at half-time. Moving away from the heavy 49% right-flank focus in the first half opened up 38% through the center and 35% down the left in the second period

[Hypvera | Football Analytics @Hypvera]

@premierleague @Arsenal The decisive difference was quality of penetration. While Arsenal turned 21 box touches into 5 shots inside the penalty area, Aston Villa were limited to zero shots on target, with 4 of their 7 attempts forced from outside the box.

[Hypvera | Football Analytics @Hypvera]

Aston Villa engineered a clear attacking shift at the break.
After routing 49% of their attacks down the right flank in the first half, they balanced the approach in the second: 38% through the center, 35% down the left, and just 27% on the right.

[Hypvera | Football Analytics @Hypvera]

Arsenal vs Aston Villa
was defined by control in the danger zone and sharp contrast in penetration.
Arsenal channeled their build-up with intent, while Villa struggled for clean sights of goal.4 data-backed observations 👇#Arsenal #AVFC

[Hypvera | Football Analytics @Hypvera]

Arsenal established a clear progression bias.
62% of their progressive passes were routed exclusively through the left channel, heavily tilting early build up away from central and right avenues to break lines.

[Hypvera | Football Analytics @Hypvera]

@premierleague @ManUtd Bruno Fernandes drove the entire attacking performance.A hat trick, 15 passes into the box, and 60% of United’s goals.Both the scorer and the primary creative outlet.

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4/4 Ipswich spent long periods defending deep.16 of their 42 recoveries came from one deep central zone — 38.1% of all recoveries.Their defensive work was heavily concentrated close to their own goal.

[Hypvera | Football Analytics @Hypvera]

1/4 Bruno Fernandes was at the centre of everything.• 3 goals
• 15 passes into the box
• 60% of Manchester United’s goalsA decisive performance both as a scorer and as a creator.

👇#MUFC #ITFC

[Hypvera | Football Analytics @Hypvera]

3/4 — Ipswich’s attacking threat collapsed after half-time.Opposition-box touches:First half: 10
Second half: 3That’s a 70% drop in penetration after the interval.

[Hypvera | Football Analytics @Hypvera]

An unusual build-up pattern from Chelsea.Emiliano Martínez recorded 38 progressive passes, accounting for 57.6% of Chelsea’s total progressive passes.A remarkably concentrated role for a goalkeeper in the build-up.

[Hypvera | Football Analytics @Hypvera]

Chelsea vs Brighton — two very different approaches to progression. Brighton controlled the ball and built patiently through passing, while Chelsea relied on more concentrated attacking outlets.4 data-backed observations from the match 👇#CFC #BHAFC

[Hypvera | Football Analytics @Hypvera]

3/4 Luka Vuskovic drove Brighton forward from deep.He recorded a team-high 41 carries, with 97.5% of them coming in the defensive and middle thirds.A major part of Brighton’s progression started from deep areas.

[Hypvera | Football Analytics @Hypvera]

3/3 — The engine in Tottenham’s build-up.Mateus Fernandes led Spurs with:• 19 progressive passes
• 14 passes into the final third
• 8 passes into the boxHe was the main driver of Tottenham’s progression.

[Hypvera | Football Analytics @Hypvera]

Tottenham vs Newcastle United — the numbers told two very different stories.Spurs generated the volume. Newcastle delivered the efficiency.And one midfielder drove much of Tottenham’s progression.3 data-backed observations from the match 👇#THFC #NUFC

[Hypvera | Football Analytics @Hypvera]

2/3 — Clinical when it mattered.Newcastle scored 2 goals from just 0.75 xG.They didn’t need sustained attacking volume to decide the match — they simply made their best moments count.