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@WSLAnalytics

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📊 Data-driven insights into Women's Super League matches ⚽️ Match Analysis | 📈 Stats 🔍 Player Performance Spotlights

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@WSLAnalytics
WSL Analytics
51 minutes
Prediction Summary: 5 out of 6 predictions correct (83.3% accuracy rate) Only miss: Aston Villa vs Leicester ended 0-0 instead of predicted Villa win
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@WSLAnalytics
WSL Analytics
51 minutes
Gameweek 6 of the WSL produced 11 goals across six fixtures (1.83 per match) — the lowest-scoring round so far this season. Notable stats: ▫️Highest attendance: Arsenal vs Brighton (27,336) ▫️Aston Villa 2.99 xG, 5 big chances created, 0 scored ▫️Own goals: Two in one matchweek!
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@WSLAnalytics
WSL Analytics
3 days
The real deal💎🏆 Manchester City have the best underlying numbers AND their results match it. They're not getting lucky or unlucky — they're just that good. #BarclaysWSL #ManCityWomen #WSLAnalytics
@WSLAnalytics
WSL Analytics
3 days
Are Manchester United living on borrowed time? They are massively overperforming their expected goal difference metrics—sitting 8.1 goals better than their underlying performance suggests. This means one of two things is happening: ▫️Either their attackers are finishing chances
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@WSLAnalytics
WSL Analytics
3 days
Getting unlucky?😤 West Ham are the biggest underperformers — they're 9 goals worse off than their performances suggests. Liverpool are also 5 goals short of where they should be. If their strikers start finishing properly and keepers stop howling, we expect a turnaround.
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@WSLAnalytics
WSL Analytics
3 days
Getting what they deserve?⚖️ Arsenal's results pretty much match how they're actually playing. No complaints there.
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@WSLAnalytics
WSL Analytics
3 days
Chelsea (+3.2) and Aston Villa (+3.7) are also slightly punching above their weight 🥊. Though less extremely. #BarclaysWSL #CFCW #AVFCWomen #WSLAnalytics #WSLStats
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@WSLAnalytics
WSL Analytics
3 days
Are Manchester United living on borrowed time? They are massively overperforming their expected goal difference metrics—sitting 8.1 goals better than their underlying performance suggests. This means one of two things is happening: ▫️Either their attackers are finishing chances
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@WSLAnalytics
WSL Analytics
4 days
Mariona Caldentey and Kosovare Asllani lead the WSL in creativity, each producing 14 chances after five matchweeks. Both players are driving their teams’ attacking play, averaging nearly three chances per 90 minutes. Lauren Hemp, though only sixth in total chances, leads the
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@WSLAnalytics
WSL Analytics
4 days
WSL Gameweek 6 Predictions📈 ▫️Big 4 to roll: Chelsea, Arsenal, Man United, Man City all strong favourites ▫️Strongest favourites: Chelsea (~75% win probability) ▫️TV picks: Chelsea–Spurs (Sky Sports Main Event); Arsenal (BBC Two/iPlayer) 📺 ▫️Closest call: London City vs West
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@WSLAnalytics
WSL Analytics
6 days
Arsenal and Chelsea received the most favourable draws among WSL teams with identical average opponent ratings of 85.3. Man United faces a notably harder path with an average opponent rating 2.3 points higher. The difficulty rating is based on Opta Power Rankings, where lower
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@WSLAnalytics
WSL Analytics
7 days
Gameweek 5 of the WSL produced 13 goals across six fixtures (2.2 per match) — the lowest-scoring round so far this season, but one filled with late drama and pivotal results. At Leigh, Manchester United halted Chelsea’s perfect start with a battling 1–1 draw in front of 5,105
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@WSLAnalytics
WSL Analytics
8 days
Arsenal: 8/15. Our pre-season model had them at 3W + 1D + 1L (10 pts). Arsenal beat London City & West Ham, drew Aston Villa and @ Man United, lost @ Man City leaving them 2 point behind projection. A concerning start to their title charge. #BarclaysWSL #ArsenalWomen
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@WSLAnalytics
WSL Analytics
8 days
Manchester City: 12/15. Our pre-season model had them at 3 wins + 1 draw + 1 loss (10 points). City won all three favourites (Brighton, @ Spurs, London City), beat Arsenal, and only lost narrowly at Chelsea leaving them +2 points ahead of projection on 12/15. A strong start that
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@WSLAnalytics
WSL Analytics
9 days
Manchester United: 11/15 Our pre-season model had them at 3 wins + 1 draw + 1 loss (Leicester, @ London City, @ Liverpool wins; Arsenal draw; Chelsea loss). They delivered the three wins, drew Arsenal as forecast — but also held Chelsea, leaving them +1 point ahead of projection
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@WSLAnalytics
WSL Analytics
9 days
Chelsea: 13/15 as predicted. Our pre-season model had their first five at 4 wins + 1 draw. (Man City, @ Villa, Leicester, @ WestHam wins; @ Man United draw). Bang on the money. Early title pace set. #BarclaysWSL #CFCW
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@WSLAnalytics
WSL Analytics
12 days
WSL Gameweek 5 Predictions: No clear favourites this week — every model edge is sub-50%. Fine margins, coin-flips everywhere. Slim model edges (still tight): ▫️Chelsea 45% at Man United — history + depth, but United’s defence keeps it live. ▫️Arsenal 39% at Man City — slight
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@WSLAnalytics
WSL Analytics
12 days
The fixture between Manchester United and Chelsea is historically skewed, representing a major statistical anomaly in top-tier women's football rivalry. Chelsea holds a commanding historical record against Manchester United, with 14 wins, 1 draw, and only 1 loss in 16 meetings.
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@WSLAnalytics
WSL Analytics
13 days
Across the 12 first home fixtures this season, WSL clubs filled 30% of available capacity (95,213 fans in stadiums totalling 317,237 seats). Top utilisers: ▫️Arsenal (63%) @ Emirates ▫️West Ham (57%) @ Chigwell ▫️London City (56%) @ Hayes Lane At the other end, big venues
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