Pool stats
Every office pool eventually produces the same argument, and no scoreboard settles it: the guy who won is convinced he is good, and everyone else is convinced he got lucky. Pooldit scores every pick against what chance alone would have produced in your specific pool, so the argument has an answer. Ditpull is how you really stack up against your friends, and Unit ROI is how the same picks did against the market.
Pooldit is not a gambling site — no real money, ever. Pools play for dits, an in-app currency that keeps score of whatever your group already agreed on.
The problem
Go 11-5 in a sixteen-game week and you had a great week. Go 11-5 in a pool of four people where everybody took the favorites, and you had the same week everyone else had. The number on the standings sheet cannot tell those apart, which is why every pool on earth relitigates the same argument every January.
Two things are missing from a raw total, and both of them are knowable. How hard was the field you beat — five people or two hundred, spread evenly or winner-take-all. And how hard were the picks you made — a slate of heavy favorites is not a slate of coin flips, and taking the favorite every week is a strategy, not a talent.
Pooldit measures both, on every pick, in every pool, from the day you join. The picks are the same picks you were making anyway. The difference is that afterwards you find out what they were worth.
The measurements
They sit right in the standings beside everybody’s name, not buried in a report nobody opens. Each one answers a different question, and reading them together is the whole trick.
Versus your field
How you really stack up against your friends — your result measured against what a purely random player would have earned in your pool, scaled to that pool’s own payout swing. A high number is a result that would be genuinely unlikely by luck. Rolled up across every pool you play, it is Ditpull-Meta, adjusted so the same picks entered in two pools do not count as two independent streaks.
Win Rate Above Expected
A neighbouring idea, in a number you can say at work. It is how many times more often you take a week than chance predicts — 2.35 means 2.35 times as often. It counts weekly wins where Ditpull weighs dits, so the two usually move together and occasionally do not: a season of small weekly wins and no finish gives a high WRAE and a modest Ditpull.
Versus the market
What your picks would have returned at the real sportsbook prices you actually took. Every pick snapshots its line and its price at submission, so this is priced, not estimated — and it is the number that catches a season of laying heavy favorites for small returns.
The plain one
Correct picks divided by decided picks. No odds, no weights, no dits — which is exactly why it is the one stat that compares cleanly across every pool and every format you have ever played.
The exact formulas, in the FAQ · How live odds get snapshotted onto a pick · Which pool type suits your group
Dit Balance is not on this list on purpose. It is dits awarded minus dits claimed — an accounting balance that says your commissioners still owe you, and no kind of performance measurement at all.
Something to beat
A commissioner can seat reference agents in the standings from day one: computer players running the basic strategies — favorite, underdog, home, away — dimmed and unranked so they never take dits out of the pool. They carry the same Hit Rate and Unit ROI columns every human carries, and those are the two that compare honestly: a bot makes real picks at real prices, so its record is measured exactly the way yours is.
That turns an abstract question into a specific one. Beating the room is one thing; beating the bot that takes the favorite every single week, all season, without ever having an opinion is the harder and far more honest test, and most people are surprised by how hard it is. Losing to it for a season is worth more information than winning a pool.
Underneath
None of these is a black box you are asked to trust. Each one has its own drill-in showing the inputs behind it — thirteen of them — so a number you disagree with can be argued with rather than believed: Hit Rate split by league, by market type and by favorite versus underdog, your unit-adjusted hit rate, your best and worst results, where your sweet spot actually is, and how your own agents are doing next to you.
Your record follows you across every pool you are in rather than resetting each season, which is what turns a set of weekly results into something that eventually settles the January argument.
The cross-pool rollup and the deeper drill-ins live on your own Data page inside the app; the standings columns are there for everyone in every pool. Some of the deeper analysis comes with Players Club — Pooldit is in open beta and every feature is free for everyone through October, with commissioners paying $5 a month from November 1. Billing has not opened, and every button on this page creates a free account today.
By measuring your result against what luck alone would have produced in your exact pool. That is what Ditpull does — it is how you really stack up against your friends, expressed as how far above or below a purely random player’s expectation you finished, scaled to your pool’s own payout structure. Winning 300 dits in a five-person pool and winning 300 in a 200-person winner-take-all pool are not the same achievement, and a raw total cannot tell them apart. Ditpull can.
It is your record priced the way a sportsbook would have priced it. Nearly every pick you make carries the real line and the real odds that were live when you submitted — the exceptions are a pick on a game no book has priced, which is left out of the count entirely rather than guessed at, and a Pick X sheet, which is priced as one parlay rather than as X separate bets. Unit ROI asks what those picks would have returned at those prices — so a favorite you had to lay heavy juice on counts for exactly what it was worth and not a point more. It is the second axis of a Pooldit record: Ditpull says how you did against the people in your pool, Unit ROI says how the same picks did against the market.
Win Rate Above Expected — the friendly companion to Ditpull, and the one most people quote. It is how many times more often you win a week than chance predicts. A WRAE of 2.35 means you take a week 2.35 times as often as a random player in your pool would. It answers a closely related question — how often you win a week, rather than how far your dits total sits from a random player’s — in a number you can say out loud at work without explaining a standard deviation.
No, and it is worth being clear because the name sits next to the others. Dit Balance is bookkeeping: dits awarded minus dits claimed, so a positive balance means your commissioners still owe you. It measures no skill at all and it belongs in a different mental column from Ditpull, WRAE, Unit ROI and Hit Rate.
You need a field. Ditpull measures you against the players you are actually up against, so a pool of one has nothing to measure — a solo pool contributes none of it. Unit ROI and Hit Rate do not care: they are measured against the market and against the scoreboard, so they accrue from your very first pick regardless of who else is playing.
Settle it
Start a free pool, invite the same people, and let a season of real picks answer it. Worst case you find out something true.
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