Table of Contents
Why Almost Nobody Actually Tracks This
Ask most regular tournament players whether they're up or down over the season and you'll get a shrug, or a confident guess that's usually wrong in one direction or the other. It's not because the math is hard — it's because nobody wants to sit down after a loss and add up exactly how much they've spent chasing a prize pool that keeps not quite happening. That avoidance is understandable, but it also means most squads are making a financial decision — keep entering paid lobbies — without any actual data behind it.
The irony is that the accounting itself is simple: entry fee times matches, versus prize money won. The hard part isn't the math, it's the discipline of logging every session instead of only remembering the good ones.
What to Log Per Session
At minimum, every tournament or scrim session needs five numbers: the mode, the date, how many matches you played, the entry fee per match, and whatever prize you walked away with. From just those five, total investment and net result fall out automatically — investment is matches times entry fee, and profit or loss is prize minus investment.
This is exactly what FragTrack's Session Logging tool is built for — set the mode, date, number of matches, and entry fee once at the start of a session, and it calculates your running investment as you go, rather than you doing mental math between matches while you're trying to actually focus on the game.
Reading Your Numbers Honestly
Once you've got a few sessions logged, the temptation is to look at total prize money and feel good about it without comparing it against total investment. A squad that's won Rs 400 in prizes across the season sounds fine — until you realize they've spent Rs 900 in entry fees getting there, which means every session has quietly been a net loss dressed up as the occasional exciting win.
This is where a proper Investment Dashboard view earns its keep: total sessions, total investment, total prize won, and net earnings sitting in one place, so you're looking at the real number instead of just remembering the sessions where you placed well.
Rank Distribution — The Stat That Explains Everything
Net earnings tells you the outcome, but rank distribution tells you why. If your session history shows you're consistently landing #2-5 but rarely #1, that's usually a sign you're close but missing something specific in the final circles — worth reviewing those matches for a pattern. If your ranks are scattered across the board with no consistency, that points to inconsistency in your actual play rather than bad luck, which is a very different problem to solve.
A profit-vs-loss breakdown alongside your rank distribution — the kind FragTrack's Investment Dashboard charts automatically — makes this pattern obvious in a way that scrolling back through match history never quite does.
Comparing Tournament, Scrim, and Daily Modes
Not all paid formats behave the same way financially. Daily Battles usually have lower entry fees and lower prizes but higher frequency, which smooths out variance over time. Tournaments tend to have higher stakes and higher variance — a few good runs can carry a whole month, but a bad stretch can do real damage to your net numbers if you're not watching it. Scrims are typically more about practice than profit, so it's worth mentally (and financially) separating scrim investment from your actual ROI tracking rather than lumping every paid match into one number.
Making the Call — Keep Playing or Cut It
The honest reason to track any of this isn't to torture yourself over losses — it's to make an informed call instead of an emotional one. If three months of logged sessions show a squad is reliably net-positive, that's a real signal to keep playing that format, maybe even scale up the entry fee. If it shows a steady net loss with no improving trend, that's useful information too, even if it's not the answer anyone wants — better to know than to keep guessing.
Either way, the only way to actually get that answer is by logging sessions consistently rather than relying on memory, which is selectively kind to the good nights and conveniently vague about the rest.