True Shooting Percentage (TS%) Calculator
Calculate a player’s true shooting percentage with this advanced basketball analytics tool
Calculation Results
True Shooting Percentage (TS%): 0.0%
Effective Field Goal % (eFG%): 0.0%
Points Scored: 0
Comprehensive Guide: How Is True Shooting Percentage Calculated?
True Shooting Percentage (TS%) is an advanced basketball statistic that measures a player’s scoring efficiency by accounting for all types of field goals (2-pointers, 3-pointers) and free throws. Unlike traditional field goal percentage, TS% provides a more accurate representation of a player’s scoring efficiency by considering the value of different shot types.
The True Shooting Percentage Formula
The formula for calculating True Shooting Percentage is:
TS% = (Points Scored) / [2 × (Field Goal Attempts + 0.44 × Free Throw Attempts)]
Where:
- Points Scored = (Field Goals × 2) + (Three Pointers × 1) + (Free Throws × 1)
- Field Goal Attempts = Total number of 2-point and 3-point field goal attempts
- Free Throw Attempts = Total number of free throw attempts
- 0.44 = Free throw factor (based on the league average free throw percentage)
Why True Shooting Percentage Matters
TS% is considered one of the most important advanced metrics in basketball analytics because:
- It accounts for the value of three-point shots (worth 50% more than two-point shots)
- It includes free throws, which are an important part of scoring
- It provides a more accurate measure of scoring efficiency than traditional field goal percentage
- It allows for better comparison between players with different shot distributions
How TS% Differs from Other Shooting Metrics
| Metric | Formula | What It Measures | Limitations |
|---|---|---|---|
| Field Goal % (FG%) | FG Made / FG Attempted | Basic shooting accuracy | Doesn’t account for 3-pointers or free throws |
| Effective FG% (eFG%) | (FG + 0.5 × 3P) / FGA | Shooting efficiency accounting for 3-pointers | Doesn’t include free throws |
| True Shooting % (TS%) | PTS / [2 × (FGA + 0.44 × FTA)] | Complete scoring efficiency | None (most comprehensive) |
League Average TS% and What It Means
The league average TS% varies by season but typically falls around 54-56%. Here’s how to interpret different TS% values:
- Below 50%: Below average efficiency
- 50-54%: Average efficiency
- 55-59%: Above average efficiency
- 60%+: Elite efficiency (All-Star level)
- 65%+: MVP-caliber efficiency
Historical TS% Leaders
Some of the highest single-season TS% performances in NBA history:
| Player | Season | TS% | Team |
|---|---|---|---|
| Wilt Chamberlain | 1966-67 | 68.3% | Philadelphia 76ers |
| Artis Gilmore | 1980-81 | 67.0% | San Antonio Spurs |
| Shaquille O’Neal | 1998-99 | 64.6% | Los Angeles Lakers |
| Stephen Curry | 2015-16 | 66.9% | Golden State Warriors |
| Kevin Durant | 2013-14 | 63.5% | Oklahoma City Thunder |
How to Improve Your True Shooting Percentage
Players can improve their TS% through several strategies:
- Shot Selection: Taking higher percentage shots (layups, open threes) instead of contested mid-range jumpers
- Three-Point Shooting: Developing a reliable three-point shot adds significant value to TS%
- Free Throw Accuracy: Improving free throw percentage directly boosts TS%
- Drawing Fouls: Getting to the free throw line more often increases scoring efficiency
- Playing to Strengths: Big men should focus on high-percentage shots near the basket, while guards should develop efficient three-point shooting
Limitations of True Shooting Percentage
While TS% is one of the best metrics for measuring scoring efficiency, it does have some limitations:
- Doesn’t account for shot difficulty (contested vs. open shots)
- Doesn’t measure playmaking or defensive contributions
- Can be misleading for players with very low usage rates
- The 0.44 free throw factor is a league average and may not apply equally to all players
- Doesn’t distinguish between two-point and three-point field goals in its calculation
Advanced Applications of TS%
Basketball analysts use TS% in several advanced ways:
- Player Comparison: Comparing players across different eras by adjusting for league average TS%
- Lineup Analysis: Evaluating which player combinations produce the highest team TS%
- Shot Location Optimization: Determining which areas of the floor produce the highest TS% for individual players
- Contract Evaluation: Using TS% to evaluate whether a player’s scoring efficiency justifies their salary
- Draft Prospect Evaluation: Assessing college players’ potential NBA success based on their TS%
Academic Research on True Shooting Percentage
Several academic studies have validated the importance of TS% in basketball analytics:
- NCAA’s research on advanced basketball metrics shows that TS% is one of the strongest predictors of team success at the college level.
- A study from Stanford University’s Sports Analytics Group found that TS% correlates more strongly with winning than traditional box score statistics.
- Research published in the Journal of Sports Analytics demonstrates that TS% is a better predictor of future scoring efficiency than either FG% or eFG% alone.
Calculating TS% for Different Positions
The interpretation of TS% can vary by position due to different shot distributions:
- Centers: Typically have higher TS% due to high-percentage shots near the basket (60%+ is common for elite centers)
- Power Forwards: Often have TS% in the 55-60% range, with stretch fours sometimes higher due to three-point shooting
- Small Forwards: TS% varies widely based on play style, from 53% for defensive specialists to 60%+ for elite scorers
- Shooting Guards: Typically range from 54-58%, with elite shooters reaching 60%+
- Point Guards: Often have lower TS% (52-56%) due to higher difficulty shots and playmaking responsibilities
The Future of Shooting Efficiency Metrics
While TS% remains the gold standard for measuring scoring efficiency, basketball analytics continues to evolve:
- Shot Quality Metrics: New metrics that account for shot difficulty (defender distance, shot location) may complement TS%
- Expected TS%: Calculating what a player’s TS% “should” be based on their shot selection
- Adjusted TS%: Accounting for the value of shots created for teammates through assists
- Situational TS%: Breaking down TS% by game situation (clutch time, transition, etc.)
As basketball analytics continues to advance, TS% will likely remain a cornerstone metric, but may be increasingly used in combination with these more granular measurements to provide an even more complete picture of scoring efficiency.