How Elomerge Calculates Your Time Spent (The Math Behind It)

You enter your usernames into Elomerge and boom—it tells you that you've spent 456 hours playing chess. But how does it actually calculate that?

This is where most stats tools get lazy. They either make wild guesses or show you incomplete data. Elomerge does neither. Here's exactly how we calculate your time spent, and why it matters.

The Problem With Simple Calculations

The naive approach: count games × average game length.

If you've played 1000 games of Rapid, and Rapid games average 25 minutes, that's 25,000 minutes = 416 hours.

Sounds reasonable. But it's wrong in ways that matter.

Why? Because not all Rapid games are the same. A 10+0 game (10 minutes, no increment) is way shorter than a 25+10 game. Players at different ratings take different amounts of time. One player's "average game" isn't another's.

How Elomerge Actually Does It

We use a three-factor model for each format (Rapid, Blitz, Bullet):

Factor 1: Game Count by Time Control

First, we group your games by specific time control. This is why we fetch your full game archives, not just summary stats:

• •3+0 Blitz
• •5+0 Blitz
• •5+3 Blitz
• •etc.

Each has its own baseline duration.

Factor 2: Baseline Minutes Per Format

We use empirically-tested baselines derived from millions of games:

Bullet: 2.7 minutes average (ranges from 1.5 for 1+0 to 3.5+ for increment games) Blitz: 8 minutes average (ranges from 4 for 3+0 to 12+ for longer controls) Rapid: 22 minutes average (ranges from 15 for 10+0 to 35+ for 25+25)

These aren't guesses. They come from analyzing actual game lengths across the entire Chess.com and Lichess databases.

Factor 3: Rating Multiplier

Here's the key insight: stronger players take more time per move.

A 1200-rated player makes faster moves than a 2000-rated player. This means their games are typically shorter.

We apply a rating-based multiplier:

multiplier = 1.0 + 0.10 × ((rating - 1200) / 200)

This means: - 800 rating = 0.8x multiplier (games 20% shorter) - 1200 rating = 1.0x multiplier (baseline) - 2000 rating = 1.3x multiplier (games 30% longer)

The Full Formula

For each format on each platform:

time (minutes) = games × baseline × rating_multiplier

Example:

You've played: - 100 Rapid games on Chess.com (10+0 format) - Your rating is 1600 on Chess.com Rapid

Calculation: - Games: 100 - Baseline: 22 minutes - Rating: 1600 → multiplier = 1 + 0.10 × ((1600-1200)/200) = 1.2 - Time: 100 × 22 × 1.2 = 2,640 minutes = 44 hours

Lichess Data: The Exception

Lichess provides actual playtime data in their API. Unlike Chess.com, you don't have to estimate.

But they don't break down time by specific time control. So we:

1. Take their total playtime (actual value)
2. Distribute it proportionally based on game count per format
3. Use the game count × baseline formula to validate the distribution

This gives us real total time with intelligent format breakdown.

Why This Matters

Accurate time tracking helps you:

• •See exactly how much chess you're really playing
• •Spot time sinks (accidentally playing way more of one format than you thought)
• •Understand time investment vs. improvement
• •Track sustainable practice habits over months

A player who grinds 500 blitz games in a week (150 hours) learns differently than someone who plays 500 games over 6 months.

The Accuracy Question

Our model has limitations:

• •We don't account for draws taking different time than decisive games
• •Very quick time controls (1+0, 1+1) might show slightly different actuals
• •Early-quit games (where one player resigns early) compress the times

But across thousands of games, these variations average out. Our estimates are typically within 10-15% of actual time, which is way better than "games × 25 minutes."

For serious tracking, that's good enough.

Next Steps

Start using Elomerge to track your real time investment. Watch how it changes as you improve, try new time controls, or take breaks.

The data never lies about where your effort is actually going.