Data Lab

Darts analytics, in depth

Our analysis pipeline

Step 1

Collection

PDC results, TV broadcasts, tournament archives, partner data. We gather statistics from every available source.

Step 2

Processing

Cleaning, normalisation, cross-referencing. Every data point is verified against at least two independent sources.

Step 3

Analysis

Historical comparisons, trend identification, statistical visualisations. We find the patterns hidden in the numbers.

Step 4

Publication

Articles, tables, interactive data. Our analysis becomes editorial content, always grounded in evidence.

Explainers

What is a three-dart average?

Three-dart average is the mean score per three darts thrown. In a leg of 501, a player throwing 15 darts to finish has an average of 100.2 (501/15 x 3). A match average above 95 is good; above 100 is exceptional.

Understanding checkout percentage

Checkout percentage = doubles hit / doubles attempted. If a player attempts 20 doubles and hits 8, their checkout percentage is 40%. Elite players sit between 38–45%.

180s: the maximum explained

A 180 is three darts in the treble 20 segment — the highest possible score from three darts. Top players average 4–7 per match.

Doubles hit rate vs checkout percentage

Checkout percentage counts only attempts when a player is on a double to win the leg. Doubles hit rate counts ALL double attempts, including mid-leg.

The Order of Merit explained

The PDC Order of Merit ranks players by prize money won over a rolling two-year period. It determines seedings for all major tournaments.

Leg efficiency: darts per leg

Leg efficiency measures how many darts a player needs to clear 501. The theoretical minimum is 9 (a nine-darter). The average for a top-16 player is 15–16 darts.

Deep-dive analysis

Historical

How the Three-Dart Average Evolved: From 85 to 105 in 30 Years

We trace the decade-by-decade acceleration in scoring power and identify the inflection points.

12 min read
Data Trend

The 180 Arms Race: How PDC Players Doubled Their Treble-20 Frequency

We decompose the 180-per-match trend and investigate whether this acceleration has a ceiling.

10 min read
Tactical Analysis

Set-Based vs Leg-Based: How Format Shapes the Game

We compare the two formats through 15 years of data to show how each rewards different skills.

8 min read

Frequently asked questions

“The data methodology is exactly what I look for as a data scientist. Transparent, rigorous, and well-documented.”

— W., London

“I use Drothven's explainers in my sports analytics lectures. The three-dart average piece is excellent.”

— V., Sheffield

“Our pub league captain showed me the checkout percentage explainer. Now the whole team understands the stats.”

— I., Newcastle