Alisson vs Ederson Shot Stopping and Distribution Calculator

The Alisson vs Ederson Shot Stopping and Distribution Calculator compares their save percentages, post-shot xG prevented, and distribution accuracy, distance, and success under pressure.

What Is a Alisson vs Ederson Shot Stopping and Distribution Calculator?

This calculator is an analysis tool for evaluating two goalkeepers across the two most discussed areas: shot stopping and distribution. It takes common match or season data and turns it into normalized, comparable scores. You can view each component or roll them up into a single comparison index.

The tool is built for quick inputs and clear outputs. It breaks down save percentage, goals prevented using post-shot expected goals, and passing accuracy at different ranges. It also estimates progressive passing value and gives you a weighted view of distribution. You control the data, the filters, and the time window.

Analysts, coaches, and fans can use it to check trends, test assumptions, or validate scouting notes. The method stays transparent, so you can audit every number and adjust if your dataset demands it.

Equations Used by the Alisson vs Ederson Shot Stopping and Distribution Calculator

The calculator uses standard, auditable formulas. It separates shot stopping from distribution and then offers an optional combined index. You can copy these equations to verify results or to adapt them to your workflow.

• Save Percentage (non-penalty): Save% = Saves / Shots on Target Faced. Exclude penalties for a cleaner read on open-play and non-penalty shots.
• Goals Prevented: Goals Prevented = PSxG Against − Goals Conceded (non-penalty). PSxG is post-shot expected goals based on shot placement.
• Goals Prevented per 90: GP/90 = (Goals Prevented / Minutes Played) × 90. Use this to normalize for playing time.
• Pass Completion Rates: Short Acc% = Short Completed / Short Attempted; Long Acc% = Long Completed / Long Attempted. Define “long” passes with your threshold (commonly 25–30 meters).
• Progressive Pass Distance per 90: ProgDist/90 = Total Forward Passing Distance / Minutes × 90. Count only forward meters for progressive value.
• Weighted Distribution Score: DistScore = 0.5 × Short Acc% + 0.5 × Long Acc% + 0.02 × ProgDist/90. Cap the final result at 100 if needed.

To compare overall performance, standardize both domains. Compute z-scores using your league average and standard deviation, then blend them: Comparison Index = 0.6 × z(Shot Stopping) + 0.4 × z(Distribution). You can adjust weights to match your philosophy or team needs.

How to Use Alisson vs Ederson Shot Stopping and Distribution (Step by Step)

Start with clean counts and minutes. Decide your filters, like excluding penalties or stoppage-time shots. Then compute each core metric before using any combined index. Keep your definitions consistent across both keepers.

• Gather inputs from a trusted source. Use the same competition and date range for both players.
• Compute shot stopping first. Get Save%, Goals Prevented, and GP/90.
• Compute distribution. Split passing into short and long, and add progressive distance.
• Normalize by 90 minutes. This helps when minutes differ.
• Optional: Standardize to league averages. Then build the Comparison Index.
• Interpret in context. Consider defensive systems, press height, and game states.

If you only need a quick answer, rely on Save% and Goals Prevented for shot stopping, and Long Acc% for distribution. If you need depth, add progressive distance and standardization for a fairer comparison.

What You Need to Use the Alisson vs Ederson Shot Stopping and Distribution Calculator

Collect a small set of match or season totals. You can extract these from public databases or team platforms. Keep penalties and own goals flagged so you can include or exclude them correctly.

• Shots on target faced (non-penalty), saves, and goals conceded (non-penalty).
• Post-shot expected goals against (PSxG) for those shots.
• Minutes played for the same period.
• Short and long passes attempted and completed, with your long-pass threshold.
• Total forward passing distance (progressive distance), or passes with distances to sum.

Ranges vary by season and team style. Low sample sizes (few matches) can skew Save% and Long Acc%. For penalties, either exclude them from both keepers or handle them as a separate line. Avoid mixing club and international data unless you mark them as separate runs.

How to Use the Alisson vs Ederson Shot Stopping and Distribution Calculator (Steps)

Here’s a concise overview before we dive into the key points:

1. Choose the time window and competitions to compare.
2. Enter shot-stopping inputs for each keeper and confirm penalty handling.
3. Enter passing inputs and set the long-pass threshold in meters or yards.
4. Review computed Save%, Goals Prevented, GP/90, and distribution metrics.
5. Toggle per-90 normalization and confirm minutes are correct.
6. Optional: Add league average and standard deviation to standardize results.

These points provide quick orientation—use them alongside the full explanations in this page.

Real-World Examples

Case Study 1 — Alisson, league sample: Suppose he faced 140 non-penalty shots on target, saved 105, and conceded 35, with PSxG against of 41. Save% = 105/140 = 75.0%. Goals Prevented = 41 − 35 = +6. Over 3,240 minutes, GP/90 = (6/3,240) × 90 = 0.17. Passing: short 800/860 (93.0%), long 210/380 (55.3%), progressive distance 8,600 m; ProgDist/90 = (8,600/3,240) × 90 ≈ 239 m. Distribution Score = 0.5 × 93.0 + 0.5 × 55.3 + 0.02 × 239 ≈ 46.5 + 27.7 + 4.8 = 79.0. What this means: Strong shot stopping with positive goals prevented and robust all-range passing.

Case Study 2 — Ederson, league sample: Suppose he faced 120 non-penalty shots on target, saved 87, and conceded 33, with PSxG against of 36. Save% = 87/120 = 72.5%. Goals Prevented = 36 − 33 = +3. Over 3,150 minutes, GP/90 = (3/3,150) × 90 = 0.086. Passing: short 900/960 (93.8%), long 330/520 (63.5%), progressive distance 11,200 m; ProgDist/90 = (11,200/3,150) × 90 ≈ 320 m. Distribution Score = 0.5 × 93.8 + 0.5 × 63.5 + 0.02 × 320 ≈ 46.9 + 31.8 + 6.4 = 85.1. What this means: Excellent distribution with big progressive value; shot stopping solid but less positive than the first case.

Accuracy & Limitations

The calculator uses established metrics, but context still matters. Defensive structure, shot quality, and game state influence the numbers. Treat outputs as indicators, not absolute truths.

• Sample size risk: A few matches can swing Save% and Goals Prevented.
• Model variance: PSxG methods differ across data providers.
• Role bias: Keepers on dominant teams face fewer shots and make more passes.
• Threshold effects: Changing the long-pass cutoff alters Long Acc%.
• Standardization drift: League averages and deviations shift during a season.

Use consistent definitions and the same source for both players. Re-run the numbers when sample sizes grow or roles change. For deeper studies, segment by game state, pressure, or footedness.

Units & Conversions

You may enter distances and speeds in different units depending on your source. Consistent units prevent inflated progressive distance or misclassified long passes. Use this quick table to align inputs and thresholds.

Pick one unit system before you start. Set the long-pass threshold accordingly (for example, 30 m ≈ 33 yd). If your source mixes units, convert them here to keep accuracy consistent.

Troubleshooting

If outputs look odd, check the basics first. Most errors come from unit mismatches, penalties included by mistake, or mis-typed attempts and completions. Validate minutes, then rerun.

• Save% above 100% or negative? Recount saves and shots on target; exclude penalties if intended.
• Goals Prevented seems extreme? Confirm PSxG provider and that penalties are excluded.
• Distribution Score inflated? Check progressive distance units and long-pass threshold.

When comparing across seasons or leagues, re-enter the appropriate league average and standard deviation. This keeps standardized scores fair and interpretable.

FAQ about Alisson vs Ederson Shot Stopping and Distribution Calculator

Why use PSxG instead of regular xG for shot stopping?

Post-shot expected goals evaluates the shot after it is struck, including placement and trajectory, which better reflects the goalkeeper’s challenge.

Should I exclude penalties?

Yes for most comparisons. Penalties have unique dynamics and can distort Save% and Goals Prevented. Compare penalty performance separately if needed.

What’s a good long-pass accuracy for elite keepers?

Above 55–60% is strong in high-level leagues, especially with longer average lengths or aggressive target selection.

Can I change the weights for the combined index?

Yes. Adjust the shot stopping versus distribution weights to mirror your team’s style, such as 70/30 for defending-first or 50/50 for build-up focus.

Key Terms in Alisson vs Ederson Shot Stopping and Distribution

Save Percentage (Save%)

The share of shots on target saved. Usually calculated excluding penalties to reflect open-play and non-penalty situations.

Post-Shot Expected Goals (PSxG)

A model that rates the probability a shot becomes a goal based on its final trajectory and placement after contact.

Goals Prevented

The difference between PSxG against and goals conceded. Positive values mean the keeper saved more than expected.

Goals Prevented per 90 (GP/90)

Goals Prevented normalized by minutes played. Helps compare keepers with different playing time.

Long-Pass Accuracy

The percentage of completed long passes based on a chosen distance threshold, typically 25–30 meters.

Progressive Passing Distance

The forward distance a keeper’s passes advance the ball toward the opponent’s goal, summed over time.

Distribution Score

A weighted measure combining short accuracy, long accuracy, and progressive distance to rate passing impact.

Comparison Index

A standardized blend of shot stopping and distribution scores, using z-scores and chosen weights, for a single head-to-head number.

Sources & Further Reading

Here’s a concise overview before we dive into the key points:

• FBref advanced goalkeeper stats, including PSxG and distribution splits
• The Analyst: Post-Shot xG explained
• StatsBomb: Explaining goalkeeper metrics and evaluation
• Opta data explained: definitions and collection methods
• UEFA technical reports: tactical trends and goalkeeper roles
• Premier League glossary: definitions for shots, passes, and accuracy

These points provide quick orientation—use them alongside the full explanations in this page.