Best poker bankroll tracker apps (2026)

What makes a poker bankroll tracker worth using?

A poker bankroll tracker is worth using when it can tell you whether your edge is real, not merely whether you are up or down, and five criteria separate the field for live cash. Logging speed comes first, because a tracker you skip after a losing session produces a flattering sample rather than a true one. True-hourly accuracy comes second: dealer tips, travel and session fees are paid out of your pocket rather than out of the pot, so a buy-in and cash-out ledger cannot see them even in principle. Third is a variance read, standard deviation and a confidence band on your actual sample, which is what separates running bad from playing bad. Fourth is study depth, with leaks and marked hands tied back to the sessions that produced them. Fifth is data ownership: full CSV export and no lock-in, tested in your first week rather than after a thousand hours. Feature lists are easy to write; those five decide whether the numbers can carry a stake decision.

The criteria that matter, and what players actually track

Many live cash players record their results in some form but stop at buy-in and cash-out. A ledger that stores two numbers per session cannot tell whether a stretch is running bad or playing bad. It holds no rake, no tips, no hours, no variance context, so the one thing a tracker exists to tell you, whether your edge is real, stays out of reach.

The spreadsheet is still a common primary tracker, and logging discipline is most vulnerable during a downswing, precisely when the data matters most. So the question is not which app has the longest feature list. It is which tool you will still be using in month six, and whether the numbers it produces are complete enough to base stake decisions on.

Five criteria separate the field: logging speed (can you log a live session in seconds, at the table, on the device in your pocket), true-hourly accuracy (rake, tips and travel captured, not just the ledger), a variance read (standard deviation and a confidence band on your actual sample), study depth (leaks and marked hands tied to sessions), and data ownership (full CSV export, no lock-in). Every tool below is judged on those five, not on marketing copy.

The 2026 field, compared

The table covers the tools live cash players actually shortlist in 2026, plus the spreadsheet, which is still the most common starting point. Every named-tool fact is taken from the product's official site or public store listing, checked in June 2026, and each tool gets an honest verdict on where it fits rather than a score out of ten. Several of these tools are excellent at jobs Overshove does not attempt, and the table says so plainly.

For any pairing you are seriously weighing, the head-to-head comparisons on this site go a level deeper: row by row on staking, GTO bundles, hand databases, wellness analytics and the review loop, with the same sourced, dated facts and the ties and losses left visible.

Logging speed decides whether your sample exists

Every other criterion depends on this one. A tracker only produces trustworthy numbers if it captures every session, and it only captures every session if logging is fast enough that you never skip one. The failure mode is not dramatic: you play a long Friday session, get home late, tell yourself you will log it tomorrow, and tomorrow never comes. Do that a handful of times and the sample is not just smaller, it is biased, because the sessions you skip are disproportionately the tilted, losing, would-rather-not-look ones. That failure mode means the sample flatters you exactly when honesty matters most.

The test is concrete. Sit at a table, phone in one hand, and time a full session entry: stake, venue, buy-in, cash-out, hours, rake model, tips. Under thirty seconds and you will do it every time; over two minutes and month six is doubtful. Check it works one-handed on a phone, because that is where sessions actually get logged, not at a desktop three days later. And check what the minimum viable entry is: a tool that demands twelve fields before it saves anything teaches you to stop saving.

The true hourly: a worked 1/2 example

Here is why buy-in and cash-out alone mislead. Take a 1/2 session: buy in for 300, cash out for 388, four hours at the table. The ledger says plus 88, an hourly of 22, which is 11 BB/hr at a 2 big blind. Now add the fields most trackers skip. Suppose you dragged eight pots and the room took a 5 rake cap from each: 40 in rake. You tipped the dealer 1 per pot won: 8 in tips. Both already came out of your stack, so the ledger silently includes them, but recording them shows what the game costs you: your pre-rake, pre-tip table win was 136, and 48 of it, 12 an hour, went to the room and the dealer. Without those fields you can never compare a capped room against a percentage room, or see whether the game is beating you or the drop is.

Then come the costs the ledger misses entirely. Fuel and parking were 12, taking the trip's net to 76. Door to door, the session took five hours, not four. True hourly: 76 over 5 is 15.20, about 31% below the headline 22. None of this says the session was bad. It says the number you are basing stake and shot decisions on is a different number than you think, and the gap compounds across hundreds of sessions.

The evaluation question for any tracker on the shortlist: does it have first-class fields for rake, tips and travel, and can its hourly show results with and without them? If costs live in a free-text notes box, they are not in your stats.

The variance read: running bad or playing bad

Telling running bad from playing bad is difficult because of arithmetic, not intelligence. Live full ring runs a standard deviation of roughly 80 to 120 BB/100. Take 100 BB/100 and a live pace of about 27 hands an hour. A serious year of 1,000 logged hours is about 27,000 hands, which is 270 blocks of 100. The standard error on your win rate is 100 divided by the square root of 270, roughly 6 BB/100. So an observed 8 BB/100 after a thousand hours carries a 95% interval of roughly plus or minus 12 BB/100: the same log is consistent with a small loser and a crusher. A point estimate on a live sample lies for years.

That is not a reason to stop tracking; it is the reason to demand more from a tracker than a graph that goes up. A tool that computes standard deviation from your own log, wraps a confidence band around the win rate, and tells you whether the current downswing sits inside expectation gives you an honest answer to the only question that matters mid-downswing: is this within the model, or is something actually wrong with my game? Several tools in the table surface a variance or standard deviation figure; fewer frame it as that decision. When you evaluate, ask to see the downswing view on a losing stretch, not the demo account's heater.

Data ownership: run the exit test first

Your sample is the asset. A thousand hours of clean logging cannot be re-created, so any tracker holding it is a custodian, not an owner. Before committing a year of data to an app, run the exit test: create a handful of dummy sessions, export, and open the file. Is it a complete CSV with every field you entered, or a lossy summary? Is export on the free tier, or behind a paywall? Could another tool, or a plain spreadsheet, read the file without surgery? Apps get acquired, abandoned and redesigned; the export file is the only part of a tracker you keep regardless.

The June 2026 listings give a partial picture: PokerLog exports to CSV, JSON and XLSX, PokerBase supports CSV import and export, and Overshove imports and exports CSV with no lock-in, free tier included. For the rest, check the current listing, because export options are exactly the kind of feature that shifts between versions. The spreadsheet remains the benchmark here: nothing owns your data more completely than a file on your own drive, and any app should get as close to that as a hosted product can. The import side matters just as much. A tracker that maps your existing spreadsheet columns once and keeps the full history lets you switch without amputating the sample, which is the whole reason the sample is worth having.

Who should pick what, and when a spreadsheet is enough

Routing by need, using the June 2026 facts. If you stake or get staked, or want social sharing inside a polished native app today, PokerBase fits. If you want GTO preflop charts and an AI assistant bundled next to the log, that is PokerLog's pitch. If the job is a searchable database of live hands rather than results, Fastroll is built for exactly that and pairs naturally with a results tracker rather than replacing one. On iPhone, Left Pocket adds a health and mood layer and Bink bundles a GTO trainer with deep stats; both are Apple only. If maximum stat customisation matters, Poker Analytics is one of the most customisable trackers around, on iOS, Android and Mac.

Overshove's honest pitch is narrower. Its core tracker is free, runs as a web app on any phone plus a Windows desktop, and is built around the review loop for live cash: the true hourly after rake, tips and travel, the variance read on your real sample, and a study log with tagged leaks. After useful value, one limited Founder offer is a one-time GBP 79 payment for 730 days, with no automatic renewal. No GTO charts, no AI assistant, no HUD, by design. If those extras are what you want, the tools above bundle them and Overshove will not. The head-to-head comparisons on this site set each pairing out row by row, ties and losses included.

And the spreadsheet? If you play a few sessions a month and want a rough net, it is genuinely enough. Total ownership, zero cost, infinite flexibility. Its failure points are specific: manual entry erodes logging discipline (the missed-session bias above), almost nobody builds rake, tip and travel columns, and the variance mathematics is on you to maintain. The switch point is not a calendar date. It is the moment you catch yourself making a stake or shot-taking decision off the spreadsheet's number, because that number is a gross point estimate on a self-selected sample. When real decisions start depending on it, move to a tool that makes the number true.