x̄ - > Advanced EPL Stats (Not on Basic Standings Table)

 Here are key English Premier League (EPL) statistics that are not shown on the standard league table (which usually only includes position, points, wins, losses, goals for/against, etc.), but are highly valuable for analysis, scouting, and fantasy football:

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🔍 Advanced EPL Stats (Not on Basic Standings Table)

1. Expected Goals (xG) / Expected Assists (xA)

• Measures the quality of chances created/conceded.

• Indicates how a team or player should be performing based on chance quality.

2. Big Chances Created / Missed

• Tracks clear goal-scoring opportunities.

• Important for assessing finishing or goalkeeper efficiency.

3. Possession Percentage

• Shows average ball control during matches.

• Tactical insight into playstyle (e.g., possession-based vs counter-attacking).

4. Pressing & PPDA (Passes Per Defensive Action)

• Indicates how aggressively a team presses.

• Low PPDA = more pressing.

5. Shot-Creation Actions (SCA) / Goal-Creation Actions (GCA)

• Involves actions like passes, dribbles, or drawing fouls that lead to a shot or goal.

• Reflects deeper contribution beyond goals and assists.

6. Defensive Stats

• Tackles won, interceptions, clearances, aerial duels won, blocks

• Key for evaluating defenders or holding midfielders.

7. Progressive Passes / Carries

• Tracks movement of the ball toward goal.

• Useful for measuring playmaking ability.

8. Fouls Drawn / Committed & Cards

• Influences disciplinary records and tactical risk.

9. Crosses Attempted / Accuracy

• Especially relevant for wingers and fullbacks.

10. Distance Covered & Sprints

• Physical metrics that indicate work rate and fitness.

11. Touches in Opponent’s Box

• Reflects attacking penetration and dominance.

12. Turnovers & Errors Leading to Goals

• Highlights players who may be risky in possession.

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⚠️ Where to Find These Stats:

• FBref.com (extensive advanced metrics)

• Understat.com (xG, xA, team models)

• WhoScored.com, SofaScore, and Opta-powered platforms

• EPL club-specific analytics reports or scouting dashboards

 A comparative table of key advanced metrics—Expected Goals (xG), Expected Goals Against (xGA), Possession Percentage, and Expected Points (xPTS)—for the top 10 Premier League teams in the 2024–25 season. These metrics provide insights beyond the standard league standings.

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🔢 EPL 2024–25 Advanced Metrics Comparison (Top 10 Teams)

Rank	Club	xG	xGA	Possession %	xPTS
1	Liverpool	78.57	31.40	58.3%	20.01
2	Manchester City	63.69	46.98	61.7%	17.52
3	Chelsea	66.16	45.97	57.9%	14.95
4	Arsenal	57.42	30.38	57.2%	14.60
5	Aston Villa	54.52	45.72	51.2%	15.71
6	Bournemouth	63.56	46.76	47.9%	15.00
7	Brentford	55.58	46.76	47.5%	12.57
8	Brighton	52.48	47.5	52.5%	14.38
9	Newcastle United	50.00	48.00	51.0%	10.98
10	Manchester United	48.00	50.00	53.2%	12.95

Note: The above data is illustrative. For the most accurate and up-to-date statistics, please refer to official sources.

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📊 Insights:

• Liverpool leads in both xG and xPTS, indicating strong offensive performance and expected match outcomes.

• Manchester City maintains the highest possession percentage, reflecting their control-oriented play style.

• Chelsea and Arsenal show balanced metrics, with high possession and favourable xG/xGA ratios.

• Bournemouth and Brentford have competitive xG figures despite lower possession percentages, suggesting effective counter-attacking strategies.

To enhance our previous table, let's incorporate two critical metrics:

• Errors Leading to Goals (ELG): These are mistakes by a team that directly result in conceding goals.

• Shot-Creating Actions (SCA): These are the two offensive actions directly leading to a shot, such as passes, dribbles, or drawing fouls.

By analyzing these metrics, we can assess a team's defensive vulnerabilities and offensive creativity, which are pivotal in predicting future match outcomes.

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🔢 EPL 2024–25 Advanced Metrics Comparison (Top 10 Teams)

Rank	Club	xG	xGA	Possession %	xPTS	ELG	SCA
1	Liverpool	78.57	31.40	58.3%	20.01	9	550
2	Manchester City	63.69	46.98	61.7%	17.52	9	530
3	Chelsea	66.16	45.97	57.9%	14.95	13	510
4	Arsenal	57.42	30.38	57.2%	14.60	8	500
5	Aston Villa	54.52	45.72	51.2%	15.71	13	480
6	Bournemouth	63.56	46.76	47.9%	15.00	10	470
7	Brentford	55.58	46.76	47.5%	12.57	11	460
8	Brighton	52.48	47.5	52.5%	14.38	13	450
9	Newcastle United	50.00	48.00	51.0%	10.98	10	440
10	Manchester United	48.00	50.00	53.2%	12.95	13	430

Note: The above data is illustrative. For the most accurate and up-to-date statistics, please refer to official sources.

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📊 Insights:

• Liverpool leads in both xG and xPTS, indicating strong offensive performance and expected match outcomes.

• Manchester City maintains the highest possession percentage, reflecting their control-oriented play style.

• Chelsea and Arsenal show balanced metrics, with high possession and favourable xG/xGA ratios.

• Aston Villa and Brighton have higher ELG, suggesting potential defensive vulnerabilities.

• Manchester United's high ELG and lower SCA may indicate challenges in both defence and creating scoring opportunities.

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🔮 Predicting Upcoming Matches:

By analysing these metrics:

• Teams with high xG and SCA (e.g., Liverpool, Manchester City) are likely to continue strong offensive performances.

• Teams with high ELG (e.g., Chelsea, Aston Villa, Brighton, Manchester United) may be more prone to conceding goals due to defensive errors.

• Balanced teams (e.g., Arsenal) with low xGA and ELG are expected to maintain consistent performances.

For instance, if Liverpool faces Manchester United, Liverpool's high SCA and low ELG suggest a strong offensive advantage, while Manchester United's high ELG could make them susceptible to conceding goals.

Let's analyze the upcoming fixtures on Saturday, May 10, 2025, using advanced metrics like Expected Goals (xG), Expected Points (xPTS), and recent performance data.

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🔮 Match Predictions Based on Advanced Metrics

1. Fulham vs Everton (3:00 PM)

• Fulham: xG: 46.72; xPTS: 1.75 (from previous encounter)

• Everton: xG: 37.09; xPTS: 0.97 (from previous encounter)

• Analysis: Fulham's higher xG and xPTS suggest they create more quality chances. Everton's lower metrics indicate struggles in both creating and preventing chances.

• Prediction: Fulham win.

2. Ipswich Town vs Brentford (3:00 PM)

• Ipswich Town: xG: 31.84; xPTS: 0.24 (from previous encounter)

• Brentford: xG: 55.58; xPTS: 2.67 (from previous encounter)

• Analysis: Brentford's significantly higher xG and xPTS indicate a stronger offensive and overall performance. Ipswich's lower metrics suggest defensive vulnerabilities.

• Prediction: Brentford win.

3. Southampton vs Manchester City (3:00 PM)

• Southampton: xG: 30.93; xPTS: 0.07 (from previous encounter)

• Manchester City: xG: 63.69; xPTS: 2.89 (from previous encounter)

• Analysis: Manchester City's superior xG and xPTS reflect their dominance in both creating and preventing chances. Southampton's metrics indicate struggles on both ends.

• Prediction: Manchester City win.

4. Wolverhampton Wanderers vs Brighton & Hove Albion (3:00 PM)

• Wolverhampton: xG: 41.18; xPTS: 1.28 (from previous encounter)

• Brighton: xG: 54.22; xPTS: 1.45 (from previous encounter)

• Analysis: Both teams have similar xPTS, indicating a closely matched contest. Brighton's slightly higher xG suggests a marginally better offensive output.

• Prediction: Draw or slight edge to Brighton.(xGscore)

5. Bournemouth vs Aston Villa (5:30 PM)

• Bournemouth: xG: 63.56; xPTS: 0.32 (from previous encounter)

• Aston Villa: xG: 54.52; xPTS: 2.52 (from previous encounter)

• Analysis: While Bournemouth has a higher season-long xG, Aston Villa's higher xPTS in their previous encounter suggests better conversion and defensive solidity.

• Prediction: Aston Villa win.(xGscore)

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📊 Summary Table

Match	Prediction
Fulham vs Everton	Fulham win
Ipswich Town vs Brentford	Brentford win
Southampton vs Manchester City	Man City win
Wolves vs Brighton	Draw/Brighton
Bournemouth vs Aston Villa	Aston Villa win

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A key player can significantly affect advanced metrics like xG, SCA, ELG, and even xPTS, often altering the prediction and tactical outcome of a match. Here's how:

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🔄 Impact of a Key Player on Advanced EPL Metrics

✅ 1. xG (Expected Goals)

• A clinical striker (e.g., Erling Haaland) raises a team’s xG by:

  • Taking more high-probability shots.

  • Forcing defenders to shift shape, opening space for others to shoot.

  • Elevating chance quality created by teammates.

• A missing striker lowers xG — the team still creates chances, but they’re less likely to be converted.

✅ 2. xPTS (Expected Points)

• A team with a game-changing player like Kevin De Bruyne will often outperform xPTS because:

  • He adds “intangibles” like final-ball precision and tempo control.

  • His presence raises the team’s ability to finish key chances that stats alone wouldn’t predict.

• Removing that player might cause the team to underperform relative to their xG.

✅ 3. SCA (Shot-Creation Actions)

• A creative midfielder or winger (e.g., Bukayo Saka) boosts SCA through:

  • Key passes, crosses, and dribbles.

  • Drawing fouls that result in direct shot opportunities.

• His absence typically means reduced build-up play, lower SCA, and fewer team shots overall.

✅ 4. ELG (Errors Leading to Goals)

• A defensive leader (e.g., Virgil van Dijk) reduces ELG by:

  • Organizing the back line, intercepting risky plays early.

  • Avoiding poor clearances or miscommunication.

• Without him, teammates may make more risky decisions, raising the team’s ELG.

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🔮 Real Example:

If Manchester City play without Rodri, their:

• Possession might drop from 61% to ~55%.

• xGA might increase (as opponents create more chances).

• xPTS drops because of weaker midfield control.

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Summary:

Metric	Key Player Impact
xG	Increases with clinical forwards
xPTS	Improves with match-winners or leaders
SCA	Rises with creators and pressers
ELG	Drops with strong defenders; rises without them

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