Rebound Percentage Calculator
Track your rebound percentage with our free sports calculator. Get personalized stats, rankings, and performance comparisons.
Calculator
Adjust values & calculatePlayer Stats
Team Stats
Opponent Stats
Formula
Where TRB is total rebounds, Team MP is total team minutes played, MP is player minutes played. The division by 5 accounts for five players sharing the court. Separate formulas exist for offensive and defensive rebound percentage using the respective rebound categories.
Last reviewed: December 2025
Worked Examples
Example 1: Starting Center Rebound Percentage
Example 2: Guard Rebound Percentage
Background & Theory
The Rebound 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 Rebound 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
TRB% = 100 * (TRB * (Team MP / 5)) / (MP * (Team TRB + Opp TRB))
Where TRB is total rebounds, Team MP is total team minutes played, MP is player minutes played. The division by 5 accounts for five players sharing the court. Separate formulas exist for offensive and defensive rebound percentage using the respective rebound categories.
Worked Examples
Example 1: Starting Center Rebound Percentage
Problem: A center grabs 3 offensive and 8 defensive rebounds in 34 minutes. Team plays 240 minutes total with 11 ORB and 35 DRB. Opponent has 10 ORB and 33 DRB.
Solution: ORB% = 100 * (3 * (240/5)) / (34 * (11 + 33)) = 100 * 144 / 1496 = 9.6%\nDRB% = 100 * (8 * (240/5)) / (34 * (35 + 10)) = 100 * 384 / 1530 = 25.1%\nTRB% = 100 * (11 * (240/5)) / (34 * (46 + 43)) = 100 * 528 / 3026 = 17.4%
Result: ORB%: 9.6% | DRB%: 25.1% | TRB%: 17.4% - Above Average rebounder
Example 2: Guard Rebound Percentage
Problem: A guard grabs 1 offensive and 3 defensive rebounds in 30 minutes. Team: 240 min, 10 ORB, 34 DRB. Opponent: 9 ORB, 31 DRB.
Solution: ORB% = 100 * (1 * 48) / (30 * (10 + 31)) = 100 * 48 / 1230 = 3.9%\nDRB% = 100 * (3 * 48) / (30 * (34 + 9)) = 100 * 144 / 1290 = 11.2%\nTRB% = 100 * (4 * 48) / (30 * (44 + 40)) = 100 * 192 / 2520 = 7.6%
Result: ORB%: 3.9% | DRB%: 11.2% | TRB%: 7.6% - Average for a guard
Frequently Asked Questions
What is rebound percentage in basketball and why does it matter?
Rebound percentage (REB%) is an advanced basketball statistic that estimates the percentage of available rebounds a player grabs while on the court. Unlike raw rebound totals, which are heavily influenced by playing time and team pace, rebound percentage adjusts for these factors to provide a more accurate picture of rebounding ability. It answers the question: of all the rebounds that could have been grabbed while this player was on the floor, what share did they actually secure? This makes it possible to compare rebounders across different teams, eras, and playing time situations in a way that raw rebound counts simply cannot achieve.
How is total rebound percentage calculated?
Total rebound percentage is calculated using the formula: TRB% = 100 * (TRB * (Team MP / 5)) / (MP * (Team TRB + Opponent TRB)). The Team MP / 5 factor adjusts for the fact that five players share the court simultaneously for the team. Minutes played in the denominator normalizes for playing time, and the sum of team plus opponent rebounds represents all available rebounds during that game. This formula effectively estimates what percentage of all available rebounds the player secured while they were on the court, providing a pace-independent and minutes-independent measure of rebounding prowess.
What is the difference between offensive and defensive rebound percentage?
Offensive rebound percentage measures how effectively a player secures rebounds off their own team's missed shots, while defensive rebound percentage measures how effectively they secure rebounds off opponent missed shots. The formulas differ in the denominator: ORB% uses team offensive rebounds plus opponent defensive rebounds as the pool of available offensive boards, while DRB% uses team defensive rebounds plus opponent offensive rebounds. Defensive rebound percentages are typically higher because defensive rebounds are more common and easier to obtain due to positional advantage. An elite offensive rebounder might have 12-15% ORB% while an elite defensive rebounder could reach 30% or higher DRB%.
What are good benchmarks for rebound percentage in the NBA?
NBA rebound percentage benchmarks vary significantly by position. For total rebound percentage, elite centers like Andre Drummond and Dennis Rodman have posted season averages above 20%, while the average center sits around 13-15%. Power forwards typically range from 10-14%, small forwards from 6-9%, shooting guards from 4-7%, and point guards from 3-5%. For offensive rebound percentage specifically, anything above 10% is excellent regardless of position. Historically, Dennis Rodman holds several of the highest single-season TRB% marks, exceeding 23% in multiple seasons, which remains an almost untouchable benchmark in modern basketball analytics.
How does team composition affect individual rebound percentage?
Team composition has a significant impact on individual rebound percentage numbers, which analysts must account for when evaluating players. Playing alongside dominant rebounders typically decreases a player's rebound percentage because there are fewer available boards to secure. Conversely, playing on a team with smaller lineups or poor rebounders can inflate individual numbers. Pace also matters: faster-paced teams create more missed shots and thus more rebounding opportunities. Additionally, defensive scheme affects rebounding: teams that prioritize boxing out may funnel rebounds to specific players, artificially boosting their numbers while teammates sacrifice their own rebounding stats for the team strategy.
Can rebound percentage predict future NBA success for draft prospects?
Rebound percentage has proven to be a moderately reliable predictor of NBA success for big men entering the draft. Research by various analytics groups has shown that college players with high TRB% tend to translate their rebounding ability to the professional level more consistently than many other statistical categories. Players who posted 15% or higher TRB% in college often become at least serviceable NBA rebounders. However, the predictive value diminishes for guard prospects, where rebounding is less central to their role. Scouts combine rebound percentage with wingspan measurements, vertical leap data, and film analysis of boxing-out technique to build comprehensive rebounding projections for prospects.
References
Reviewed by Sher, Sports Science & Nutrition Specialist · Editorial policy