Basketball True Shooting Percentage: Including Free Throws

Why TS% exists

Field-goal percentage leaves free throws out, even though they also produce points. True shooting percentage (TS%) combines field goals and free throws into one estimate of how efficiently a player converts scoring attempts into points. That helps when comparing different styles: a player who often gets to the line may look less productive by FG% than his total scoring suggests.

A common formula is TS% = points / [2 × (FGA + 0.44 × FTA)]. FGA means field-goal attempts and FTA means free-throw attempts. The denominator estimates shooting volume, while multiplying by two expresses the result on a two-point-shot accuracy scale. The 0.44 factor is a practical adjustment; it does not claim that each free throw uses exactly 0.44 of a possession.

A numerical example

Suppose a player scores 18 points on 12 field-goal attempts and 6 free-throw attempts. The denominator is 2 × (12 + 0.44 × 6) = 2 × 14.64 = 29.28. TS% is 18 / 29.28 = 61.5%. Dividing 18 points by 12 field-goal attempts gives 1.5 points per field-goal attempt. That is a meaningful but different statistic: free-throw points remain in the numerator while free-throw attempts are absent from the denominator. TS% deliberately adds FTA to its estimated denominator.

The example shows why the metric helps, but it does not tell us exactly how those points were scored. Field-goal attempts come from different locations, and free throws arise in different situations. Rounding and the statistical source’s definitions can also affect a displayed figure.

Why the factor is an approximation

A free-throw attempt is not always equivalent to a separate full possession. There may be two- or three-shot sequences, technical free throws, an and-one after a made basket, or a rebound after a miss. The formula uses 0.44 to estimate the average contribution of free throws. TS% is therefore a comparable guide over larger samples, not an exact possession ledger for one game.

Compare players over the same period and account for shot volume and role. A small sample can produce a high number after a few favorable possessions. TS% also leaves out assists, turnovers, offensive rebounds, and defense.

Reading it alongside a betting market

For a player-points line, TS% can help show whether recent scoring included free throws as well as made field goals. The market still depends on future volume: minutes, starting status, shot distribution, and game script deserve separate checks. Compare those factors and the price with a cautious view of possible scenarios; do not call TS% the probability that a wager wins.

For the full market context, also check how basketball spreads settle with overtime: settlement rules and efficiency answer different questions. To separate a player’s box-score contributions, see how to read points, rebounds, and assists.

A practical comparison should cover several games and similar minutes or roles when possible. If one player gets to the line regularly while another scores mostly from jump shots, the same TS% can hide different paths to the result. The metric remains useful; it tells you which details deserve a separate check before making a comparison.

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