Is this good for hobbyists & makers?

Yes — this version of "Expected Goals (xG) for a basketball free throw" is framed for hobbyists & makers exploring it for fun. Play with real physics and math, no license and no setup — just open and tinker.

Do I need to install anything?

No. It runs in any modern browser, free, with no account required.

For Hobbyists & Makers · Expected Goals (xG)

Expected Goals (xG) for a basketball free throw

Built for hobbyists & makers exploring it for fun. Play with real physics and math, no license and no setup — just open and tinker. Simulate a basketball free throw live below — adjust the inputs and watch it respond, right in your browser.

Expected Goals (xG)Live

the quality of a chance

Controls

Expected goals rates every shot by the probability an average player would score from that spot, learned from thousands of historical shots. The two biggest drivers are distance and angle to goal — a tap-in near the six-yard box is worth 0.8 xG, a long-range effort barely 0.03. Summing xG over a match reveals who truly deserved to win, beyond the scoreline. Click to place a shot.

▶ Run in Python

Data Inspector

Expected goals0.22

Distance30 m

Angle to goal24°

Ratingdecent

Governing equation

xG = \frac{1}{1 + e ^{- (0.6 - 0.11 \cdot 30.0 + 0.06 \cdot 23.5)}} = 0.22

Reading this result: Long range dominates here: distance shrinks xG faster than anything else, so this is a low-probability effort.

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Frequently asked questions

Is this good for hobbyists & makers?: Yes — this version of "Expected Goals (xG) for a basketball free throw" is framed for hobbyists & makers exploring it for fun. Play with real physics and math, no license and no setup — just open and tinker.
Do I need to install anything?: No. It runs in any modern browser, free, with no account required.