Poker Variance Calculator

How much swing is normal? Monte Carlo your next 100,000 hands or 10,000 tourneys and see where you actually land. Downswings, risk of ruin, and what your "Am I a winner?" math really says.

I win bb/100 over hands of
. SD 140 bb/100
020k40k60k80k100k Hands
Probability of profit
74.9%
Expected profit
+29.6 BI
95% confidence range
−53 BI +117 BI
1,000 runs simulated
Stake progression Auto move-up and move-down through the stake ladder

Play 2.5M hands, moving up when you clear the threshold and back down on downswings. Every setting below is editable. Test your own assumptions.

Derived winrate per stake
PLO10 +9.0
PLO20 +8.0
PLO25 +7.0
PLO50 +6.0
PLO100 +5.0
PLO200 +4.0
PLO500 +3.0
PLO1K +2.0
PLO2K +1.0
PLO5K 0.0
PLO10K −1.0
More analysis
Outcome distribution Median run: +29.7 BI

Sorted from best to worst. The median is the middle (the "typical" outcome), not the EV.

Top 1% luckbox
+128 BI
Top 5%
+103 BI
Top 25%
+59.5 BI
Median the typical run
+29.7 BI
Bottom 25%
−48 bb
Bottom 5%
−39.7 BI
Bottom 1% nightmare
−72.5 BI
Bankroll & risk of ruin

How deep can the cumulative profit line dip, and how big a starting bankroll do you need so it (almost) never dips past zero?

Risk of ruin
15.4%
over 100,000 hands

Required bankroll by risk tolerance

Click a row to re-run the sensitivity table below at that target.

If you're wrong about your winrate (5% RoR target)

ScenarioAssumed winrateBankroll needed
Your assumption3.00 bb/10097.9 BI
Slightly worse1.50 bb/100196 BI
Much worse0.75 bb/100391 BI
Breakeven0.00 bb/100

A small misread of your true winrate balloons the bankroll you actually need. If you're unsure, read the Am I a winner? card below.

Downswings

How often a deep downswing shows up, and how long losing stretches drag on, under +3 bb/100 · 100k hands · SD 140.

How deep, and how long

Probability of a downswing ≥
5 BI >99.9%
10 BI >99.9%
25 BI 89.3%
50 BI 28.8%
100 BI 1.0%
Probability of a slump lasting ≥
2.0k >99.9%
5.0k >99.9%
10k 99.6%
25k 85.7%
50k 42.1%

Peak-to-trough inside a window

Your worst drawdown inside any given stretch of hands. Pick the threshold, see how often it shows up in a month / quarter / full sample.

Threshold
In any 8.3k-hand stretch
94.2%
chance of dropping ≥20 BI
In any 25k-hand stretch
96.6%
chance of dropping ≥20 BI
Over the full 100k hands
96.6%
chance of dropping ≥20 BI
Am I a winner? Bayesian credible intervals on your true skill

If your results so far are +3.00 bb/100 over 100k hands, what can you honestly claim about your true skill?

Probability you are actually a winning player
73.2%
Credible interval on your true winrate
ConfidenceLowerUpper
60%-0.90+5.92
75%-2.15+7.17
90%-4.15+9.17
95%-5.43+10.44
Hands needed until you know your winrate to…
within bb/100 at confidence 7.5M hands
Your year, month by month One randomly drawn year with lucky/unlucky months
Total for the year · 1,200,000 hands +207 BI
100,000 hands /
Jan
+70.3 BI
+0.9σ
Feb
+99.4 BI
+1.6σ
Mar
+104 BI
+1.7σ
Apr
−53.3 BI
-1.9σ
May
−50.1 BI
-1.8σ
Jun
−3.6 BI
-0.8σ
Jul
−105 BI
-3.0σ
Aug
+30.5 BI
+0.0σ
Sep
−22.6 BI
-1.2σ
Oct
+91.2 BI
+1.4σ
Nov
+18.5 BI
-0.3σ
Dec
+26.5 BI
-0.1σ
🔥 ≥+2σ blessed 🍀 ≥+1σ lucky ❄️ ≤−1σ unlucky 💀 ≤−2σ disaster
Best month
Mar
+104 BI
Worst month
Jul
−105 BI

A single year rolled from your exact distribution. Hit roll enough times and you'll see how wild a "normal" year can look.

Backing deal Simulate staker + player with makeup

Model a stake deal. The backer absorbs the losses; you split the profits at each chop event (after makeup clears).

Your EV per 100,000 hands
0 bb
Backer's EV
0 bb
% of sims ending in makeup
<0.1%
Avg makeup owed at end
0 bb
Avg worst makeup (any point)
0 bb
Backer risk of ruin
<0.1%

Backer absorbs losses one-for-one; takes 50% of cleared profit at each chop. Chops happen every 10 sessions (25,000 hands). Your EV is strictly less than solo play, but you play bigger without risking your own cash.