מדריך מפורט בקרוב
אנחנו עובדים על מדריך חינוכי מקיף עבור Expected Goals Against (xGA) Calculator. חזרו בקרוב להסברים שלב אחר שלב, נוסחאות, דוגמאות מהעולם האמיתי וטיפים מקצועיים.
In the 2023-24 Premier League season, Manchester City's goalkeeper Ederson faced just 30.1 expected goals against — yet conceded 34. Manchester United faced 57.4 xGA but conceded 58 goals, showing their defence was performing almost exactly at the model's prediction with no goalkeeper overperformance to mask structural weaknesses. Expected Goals Against (xGA) is the defensive mirror of xG: it measures the quality of chances conceded by a team or goalkeeper, assigning a probability to each shot faced based on the same contextual factors used in xG models. xGA reveals whether a defence is genuinely good at preventing high-quality chances or merely lucky in having shots converted at a low rate. A team with low xGA has a structurally sound defence that positions well and limits opponents to poor shooting opportunities; a team with high xGA but few goals conceded is likely overperforming and is vulnerable to regression. Goalkeepers are evaluated against xGA using the metric PSxG-GA (Post-Shot Expected Goals minus Goals Against) — the difference between the expected probability of each shot they faced going in (after accounting for shot placement within the frame) and how many actually went in. Alisson Becker of Liverpool has consistently been among the best goalkeepers in the world by PSxG-GA, saving roughly 8-12 goals per season above what the average keeper would save. xGA has fundamentally changed how goalkeepers are scouted and evaluated: traditional metrics like clean sheet percentage and goals conceded can mask poor underlying shot quality allowed, while xGA reveals the truth.
xGA (team) = Sum of xG_i for all shots conceded Post-Shot xGA (PSxGA) = Sum of PSxG_i (factors in shot placement within the frame) Goalkeeper Performance = PSxGA - Goals Actually Conceded Positive value = overperforming (saving more than expected) Negative value = underperforming Worked example: Alisson faces 8 shots in a match with PSxG values: 0.12 + 0.45 + 0.08 + 0.31 + 0.67 + 0.14 + 0.09 + 0.22 = 2.08 total PSxGA Actual goals conceded = 1 Performance = 2.08 - 1 = +1.08 (saved 1.08 goals above average keeper this match)
- 1Every shot faced by a team is logged with location, body part, shot type, and assist type using the same variables as the attacking xG model.
- 2The xGA for each shot is the probability of that shot resulting in a goal — identical to xG from the attacker's perspective.
- 3Post-shot xGA additionally factors in where within the goal frame the shot was aimed, giving a more accurate reflection of the goalkeeper's actual challenge.
- 4Team xGA is summed across all shots conceded in the season; per-game xGA reveals how dangerous opponents have been on average.
- 5The gap between xGA and actual goals conceded measures collective defensive overperformance or underperformance.
- 6Goalkeeper PSxGA-GA isolates the keeper's individual contribution to the goals-prevented total.
Alisson saved roughly 9 goals more than an average keeper would have from the same shots — contributing directly to Liverpool's near-miss title challenge that season.
Arsenal conceded 4.4 fewer goals than their xGA suggested, reflecting excellent defensive organisation AND above-average goalkeeping from David Raya.
This goalkeeper conceded nearly 9 goals more than an average keeper would from the same shots, making them a significant liability — a common finding in relegation-bound teams.
Courtois's 2022 Champions League Final performance against Liverpool has been calculated as the best in CL Final history by PSxGA-GA, single-handedly winning Real Madrid the trophy.
Goalkeeper contracts: clubs with strong xGA data can negotiate more accurately, paying premiums only for goalkeepers with genuine PSxGA-GA outperformance rather than those merely playing behind elite defences., representing an important application area for the Xga Calculator in professional and analytical contexts where accurate xga ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Defensive coach evaluation: head coaches and defensive coordinators are assessed on team xGA trend — a rising xGA suggests defensive deterioration regardless of results., representing an important application area for the Xga Calculator in professional and analytical contexts where accurate xga ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Insurance and injury recovery: clubs monitor returning goalkeepers' xGA metrics post-injury to determine if recovery is genuinely complete before investing in a contract extension., representing an important application area for the Xga Calculator in professional and analytical contexts where accurate xga ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Broadcast commentary: Sky Sports and BT Sport use PSxGA-GA graphics to explain in real time why a goalkeeper's performance deserves more or less credit than the scoreline suggests., representing an important application area for the Xga Calculator in professional and analytical contexts where accurate xga ulator calculations directly support informed decision-making, strategic planning, and performance optimization
Own goals are excluded from xGA calculations as they are not goalkeeping events
Own goals are excluded from xGA calculations as they are not goalkeeping events — a deflection that goes in off a teammate bypasses the keeper entirely and should not penalise their metrics.. In the Xga Calculator, this scenario requires additional caution when interpreting xga ulator results. The standard formula may not fully account for all factors present in this edge case, and supplementary analysis or expert consultation may be warranted. Professional best practice involves documenting assumptions, running sensitivity analyses, and cross-referencing results with alternative methods when xga ulator calculations fall into non-standard territory.
Penalties are typically evaluated separately with their own PSxG (approximately
Penalties are typically evaluated separately with their own PSxG (approximately 0.76) because penalty-saving ability is a distinct, semi-independent skill from shot-stopping in open play.. In the Xga Calculator, this scenario requires additional caution when interpreting xga ulator results. The standard formula may not fully account for all factors present in this edge case, and supplementary analysis or expert consultation may be warranted. Professional best practice involves documenting assumptions, running sensitivity analyses, and cross-referencing results with alternative methods when xga ulator calculations fall into non-standard territory.
Shots from outside the box at very narrow angles occasionally register low xGA
Shots from outside the box at very narrow angles occasionally register low xGA despite being on target — PSxGA adjusts for this by factoring in shot placement.. In the Xga Calculator, this scenario requires additional caution when interpreting xga ulator results. The standard formula may not fully account for all factors present in this edge case, and supplementary analysis or expert consultation may be warranted. Professional best practice involves documenting assumptions, running sensitivity analyses, and cross-referencing results with alternative methods when xga ulator calculations fall into non-standard territory.
| Goalkeeper | Club | xGA | Goals Conceded | PSxGA-GA | Rating |
|---|---|---|---|---|---|
| David Raya | Arsenal | 33.4 | 29 | +4.4 | Elite |
| Alisson Becker | Liverpool | 35.2 | 41 | -5.8 | Below avg |
| Ederson | Man City | 30.1 | 34 | -3.9 | Below avg |
| Jordan Pickford | Everton | 55.8 | 51 | +4.8 | Very good |
| Vicente Guaita | Crystal Palace | 58.2 | 57 | +1.2 | Average |
| Matz Sels | Nottm Forest | 46.3 | 45 | +1.3 | Solid |
What is a good xGA per game for a Premier League goalkeeper?
Premier League average xGA per game is approximately 1.3-1.5. Top teams like Arsenal and City allow 0.7-0.9 xGA per game. A goalkeeper at a mid-table team facing 1.5-1.8 xGA per game while conceding only 1.2 is clearly outperforming — even if their raw goals-conceded figure looks poor. This is particularly important in the context of xga calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise xga calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
How does xGA differ from shots on target against?
Shots on target against treats every on-target shot equally. xGA weights each shot by its actual scoring probability — a save from a 0.8 PSxG chance is worth far more than a save from a 0.04 PSxG shot from distance. PSxGA-GA is therefore a far superior goalkeeping metric than save percentage.
Can defenders be evaluated using xGA?
Yes — defenders can be assigned xGA while on the pitch or xGA in their defensive zone to measure how many high-quality chances they allow compared to position peers. Sophisticated models track which defender was closest to each shot to isolate individual defensive responsibility. This is particularly important in the context of xga calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise xga calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Why do some great-looking teams have surprisingly high xGA?
Teams that press aggressively can leave space in behind, inviting counter-attacks that generate high xGA (few chances but high quality). City under Guardiola often allow a moderate number of shots but with relatively high xGA per shot due to this dynamic — their goalscoring power makes this trade-off worthwhile. This is particularly important in the context of xga calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise xga calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Is xGA the same for all xG models?
No — different providers (StatsBomb, Opta, Wyscout, Understat) use different features and training data, so xGA values vary slightly between models. The directional conclusions are generally consistent, but absolute numbers can differ by 5-15% across providers for the same event. This is particularly important in the context of xga calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise xga calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
How much of xGA is attributable to the goalkeeper vs. the defence?
xGA (shot quality allowed) is primarily a defensive metric — it reflects how well the defence prevents good shooting opportunities. PSxGA-GA is specifically the goalkeeper's metric, measuring what they do once the shot is taken. Separating the two clearly is essential for accurate player evaluation. This is particularly important in the context of xga calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise xga calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
What is the best goalkeeper in Premier League history by xGA metrics?
Alisson Becker has the highest sustained PSxGA-GA in modern Premier League history, consistently saving 8-12 goals per season above model expectation across his Liverpool career. Petr Cech at Chelsea in the 2004-05 season would likely rank even higher if PSxGA data existed. This is particularly important in the context of xga calculatorulator calculations, where accuracy directly impacts decision-making. Professionals across multiple industries rely on precise xga calculatorulator computations to validate assumptions, optimize processes, and ensure compliance with applicable standards. Understanding the underlying methodology helps users interpret results correctly and identify when additional analysis may be warranted.
Pro Tip
For the most complete goalkeeper analysis, use a combination of three metrics: PSxGA-GA (saves above model), High-Claim success rate (dealing with crosses), and Distribution progressive pass rate. A keeper excelling on all three — like Alisson or Manuel Neuer in his prime — contributes to both ends of the pitch and is worth a 30-50% premium over average keepers.
Did you know?
Thibaut Courtois's 2022 Champions League Final performance against Liverpool — making 9 saves from a combined PSxGA of approximately 3.8 — has been calculated as the single most impactful individual goalkeeping display in Champions League Final history. Without him, expected models suggest Liverpool would have won 2-1.