Goalie Quality Start Percentage Calculator
Free Goalie quality start percentage Calculator for hockey. Enter your stats to get performance metrics and improvement targets.
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A Quality Start is any game where the goaltender finishes with a save percentage of .913 or higher. QS% measures how consistently a goalie delivers at least average performance. A Really Bad Start (RBS) is a game with save percentage below .850.
Last reviewed: December 2025
Worked Examples
Example 1: NHL Starting Goaltender QS%
Example 2: Comparing Two Goaltenders
Background & Theory
The Goalie Quality Start Percentage applies the following established principles and formulas. Sports statistics and performance metrics represent one of the most data-rich domains of applied mathematics available to the general public. Baseball, in particular, has developed an exceptionally dense vocabulary of calculated metrics. Earned run average (ERA) quantifies a pitcher's effectiveness as (earned runs × 9) / innings pitched, normalising performance to a nine-inning standard regardless of how many complete games were pitched. WHIP, or walks and hits per inning pitched, is computed as (walks + hits) / innings pitched and provides a complementary measure of how frequently a pitcher allows baserunners. Batting average, one of the oldest statistics in the sport, is simply hits / at-bats, though more modern metrics such as on-base percentage and slugging percentage have largely supplanted it as primary performance indicators. The NFL passer rating formula is considerably more complex, combining completion percentage, yards per attempt, touchdown rate, and interception rate into a composite score scaled to a 0–158.3 range. Golf handicap calculation, now governed by the World Handicap System introduced in 2020, uses a Handicap Differential formula applied to the best 8 of a player's most recent 20 score differentials, with adjustments for course rating and slope. The Elo rating system, originally developed by physicist Arpad Elo for chess ranking in the 1960s, has become a widely adopted framework for competitive ranking in sports ranging from football to table tennis. It updates each player's rating after every match based on the margin of expected versus actual result. In endurance sports, pace calculation converts total time to a per-mile or per-kilometre rate, informing training intensity and race strategy. In cycling, power-to-weight ratio (watts per kilogram) is the primary determinant of climbing performance and is central to both professional race analysis and amateur fitness tracking. Fantasy sports scoring systems synthesise multiple individual statistics into aggregate point totals, requiring participants to understand the relative value of different performance categories across sports.
History
The history behind the Goalie Quality Start Percentage traces back through the following developments. Organised athletic competition has roots extending to ancient Greece, where the Olympic Games were held at Olympia beginning around 776 BCE. These early games were embedded in religious observance and civic identity, featuring events such as sprinting, wrestling, and the pentathlon. The codification of modern sport rules accelerated dramatically in 19th century Britain, where industrialisation created both the leisure time and the institutional infrastructure for organised competition. The Football Association formalised the rules of association football in 1863, and similar governing bodies for cricket, rugby, tennis, and athletics followed in subsequent decades. Pierre de Coubertin, a French educator inspired by the English model of sport as character-building, campaigned to revive the Olympic Games as a modern international institution. The first modern Summer Olympics were held in Athens in 1896, establishing the template for international multi-sport competition that has continued to the present. FIFA, the international governing body for association football, was founded in Paris in 1904 with seven member nations. The serious statistical analysis of baseball, later termed sabermetrics, was pioneered by writers and analysts including Bill James beginning in the late 1970s. James self-published his Baseball Abstract annuals starting in 1977, introducing rigorous empirical methods to a domain previously dominated by traditional counting statistics and subjective scouting. His work influenced a generation of analysts and front-office executives. The publication of Michael Lewis's Moneyball in 2003, documenting the Oakland Athletics' 2002 season and their use of on-base percentage and other undervalued metrics, brought sports analytics to mainstream attention. The subsequent analytics revolution reshaped hiring practices and game strategy across professional sports leagues. Fantasy sports, which require participants to engage directly with statistical outputs, grew from a hobby practised by a few thousand enthusiasts in the 1980s into a multi-billion dollar industry by the 2010s, with tens of millions of participants across football, baseball, basketball, and other sports.
Frequently Asked Questions
Formula
QS% = (Quality Starts / Games Started) x 100
A Quality Start is any game where the goaltender finishes with a save percentage of .913 or higher. QS% measures how consistently a goalie delivers at least average performance. A Really Bad Start (RBS) is a game with save percentage below .850.
Worked Examples
Example 1: NHL Starting Goaltender QS%
Problem: A starting goaltender has 30 quality starts, 8 really bad starts, and 12 neutral starts in 50 games started.
Solution: QS% = (Quality Starts / Games Started) x 100\nQS% = (30 / 50) x 100 = 60.0%\nRBS% = (8 / 50) x 100 = 16.0%\nNeutral% = (12 / 50) x 100 = 24.0%\nQS:RBS Ratio = 30 / 8 = 3.75
Result: QS% = 60.0% (Excellent) | QS:RBS Ratio = 3.75:1
Example 2: Comparing Two Goaltenders
Problem: Goalie A: 22 QS in 45 starts. Goalie B: 18 QS in 30 starts. Who is more consistent?
Solution: Goalie A QS% = (22 / 45) x 100 = 48.9%\nGoalie B QS% = (18 / 30) x 100 = 60.0%\nGoalie B has a significantly higher QS%\ndespite fewer total quality starts.\nGoalie B delivers quality outings more consistently.
Result: Goalie A: 48.9% (Average) | Goalie B: 60.0% (Excellent)
Frequently Asked Questions
What is a quality start in hockey and how is it defined?
A quality start (QS) in hockey is defined as any game in which a goaltender finishes with a save percentage of .913 or higher, which approximates the league-average save percentage. This metric was created by hockey analytics writer Rob Vollman as a way to evaluate goaltender consistency on a game-by-game basis rather than relying solely on season-long averages. The .913 threshold was chosen because it represents roughly the median save percentage across the NHL, meaning a goalie who achieves this or better has given their team a solid chance to win. Quality starts provide insight into how often a goaltender delivers a reliable performance.
How is Quality Start Percentage calculated?
Quality Start Percentage (QS%) is calculated by dividing the number of quality starts by the total number of games started, then multiplying by 100. For example, if a goalie has 28 quality starts in 50 games started, their QS% is (28 / 50) x 100 = 56%. This metric measures consistency rather than peak performance. A goalie could have a high overall save percentage due to several dominant performances but a low QS% if they are inconsistent from game to game. The formula only counts games where the goaltender was the starter, excluding relief appearances where they entered mid-game and faced a limited number of shots.
What is considered a good Quality Start Percentage in the NHL?
In the NHL, a QS% above 57% is considered excellent and typically indicates an elite, consistent goaltender. The league average QS% hovers around 50%, which makes sense given that the quality start threshold is set at the approximate league-average save percentage. Top Vezina Trophy candidates often post QS% values in the 60 to 70% range during their best seasons. A QS% between 52% and 57% is above average, while 45% to 52% is roughly average. Below 45% suggests the goaltender is frequently underperforming league-average standards and may be a liability for their team on many game nights.
What is a Really Bad Start and why does it matter?
A Really Bad Start (RBS) is defined as a game where the goaltender save percentage falls below .850, meaning they allowed significantly more goals than expected given the shots faced. For example, allowing 5 goals on 25 shots (.800 save percentage) would qualify as a Really Bad Start. This metric matters because it identifies games where the goaltender was a clear negative contributor to the team outcome. A high RBS count can undermine an otherwise decent overall save percentage. Analysts often look at the ratio of quality starts to really bad starts as a measure of goaltender reliability and the likelihood they will help rather than hurt.
How does Quality Start Percentage differ from wins as a goalie statistic?
Quality Start Percentage is a superior measure of individual goaltender performance compared to wins because wins are heavily dependent on offensive support. A goalie can post a .940 save percentage and still lose 1-0, which is clearly an excellent individual performance that results in a loss. Conversely, a goalie can allow 5 goals but win 7-5, which inflates their win total despite poor goaltending. QS% removes this offensive dependency by focusing solely on whether the goaltender performed at or above league-average standards. Research has shown that QS% correlates more strongly with future goaltender performance than win percentage does.
Can Quality Start Percentage predict future goaltender performance?
Quality Start Percentage has shown moderate predictive value for future goaltender performance, though it works best when combined with other metrics. Studies in hockey analytics have found that QS% from one season correlates with QS% in the following season at a higher rate than raw wins or even overall save percentage. The consistency aspect of QS% captures an important element of goaltending that single-number metrics miss. However, QS% does not account for shot quality or defensive support, so goalies on strong defensive teams may have inflated QS% values. For the best predictions, analysts combine QS% with expected goals metrics and high-danger save percentage.
References
Reviewed by Sher, Sports Science & Nutrition Specialist · Editorial policy