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Premier League 2025/26 Season Preview
Data Wins Titles. Who’s Built to Win?

🧠 What’s Going On This Week in Football?
The EPL kicks off this Friday — and the 2025/26 season promises a brutal collision of data-backed tactics, squad evolution curves, and smart-money strategy. In this edition of Blunt Insights, we cut through the hype and go full analytics mode.
No fluff. Just insights you need.
⚽️ Tier 1 Contenders: The Data Case for Each
🎯 Manchester City
xG Diff/Game: +1.91
Field Tilt: 66.3% (Top 2% in Europe)
Continuity Index: 88% (13 of Top 15 return)
🔍 Verdict: Still the machine. Reduced churn = compounding tactical returns.
🚀 Arsenal
Youngest XI: 24.5 years
xG Momentum Curve: +0.23 over last 8 matches
U23 Minutes %: 31.2%
🔍 Verdict: Squad hitting prime window. Elite press + wide overloads evolving.
🔴 Liverpool
High Press Wins/Game: 9.1 (Top 3 in Europe)
New Midfield Pivots: Szoboszlai & Mac Allister completed 94% pass under pressure
🔍 Verdict: Tactical ceiling is real — depth will decide.
📉 Regression Watch: Who's Due for a Fall?
🟡 Manchester United
xPTS Overperformance: +13.7
Post-Shot xG Delta: -0.19
Shots Outside Box Goals: 17 (League-high)
🔍 Flag: Massive gap between result and underlying numbers. Luck will fade.
🟣 Aston Villa
Set Piece Goals: 15 (2.3x league average)
Conversion on Corners: 4.2%
🔍 Flag: EmeryBall works — but reliance on low-frequency events is risky.
🔬 Tactical Evolutions to Track
Club | Tactical Note | Key Data Anchor |
---|---|---|
Arsenal | 3-box-3 w/ inverted FBs | 6.1 passes per final-third entry |
Man City | Wing overloads w/ fluid 2-3-5 rotations | 43.2% final-third possession share |
Tottenham | Chaos system: vertical + dribble heavy | Most 1v1s per match in EPL |
Chelsea | Midblock + Reece pivot activation | Most key passes per 90 (non-top 4) |
Brighton | Positional rotations + false 10 overlay | 17 unique goal contributors last year |
📊 Efficiency Rankings: Spend vs. Output
Club | Net Spend | Wage Bill Rank | xG Diff | U23 % | Efficiency Tier |
---|---|---|---|---|---|
Manchester City | £95M | #1 | +1.91 | 18.4% | A+ |
Arsenal | £72M | #5 | +1.23 | 31.2% | A |
Chelsea | £129M | #3 | +0.65 | 44.5% | B |
Aston Villa | £38M | #8 | +0.18 | 16.7% | A |
Man United | £116M | #2 | -0.07 | 19.3% | C- |
🧠 Insight: Arsenal’s data profile is “next-up” — elite spend efficiency + age curve. United’s payroll-to-xG profile is unsustainable.
📉 Final Model Projection – Powered by Multi-Metric Forecasting
Rank | Club | Drivers |
---|---|---|
1 | Man City | Continuity + final-third possession control |
2 | Arsenal | Squad maturity + tactical flexibility |
3 | Liverpool | Pressing + shot quality edge |
4 | Chelsea | Dribble volume + attacking width |
5 | Aston Villa | Emery tactical craft |
6 | Spurs | Unpredictability + 1v1 dominance |
7 | Brighton | Positional variance + pass security |
8 | Man United | Regressed metrics + high variance play |
🔮 Title Odds (Implied from Bookmakers)
Club | Win Probability (%) |
---|---|
Man City | 46.2% |
Arsenal | 24.1% |
Liverpool | 13.3% |
Chelsea | 6.8% |
Tottenham | 4.1% |
All Others | 5.5% |
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