Roulette strategy lab

Know the plan.
See the exposure.

Explore familiar roulette betting strategies, try their steps with virtual paws and keep the number selection separate from the stake schedule.

01 / A clear starting point

Flat betting

10 → 10 → 10 → 10

Choose a unit and keep it unchanged after every result. With the stake held steady, a practice session makes the effect of your number coverage easier to read. Set a session limit before you begin; a flat stake still accumulates exposure over many rounds.

In the trainer Try ten rounds on one even-money group, then compare the stake total with the net result.

Practice with virtual paws ↗

See how this approach fits alongside Winnary signals.

Explore the Flat betting analysis on Winnary ↗
02 / Double after a loss

Martingale

10 → 20 → 40 → 80

On an even-money bet, double the next stake after a loss and return to the starting unit after a win. The familiar one-unit recovery depends on being able to place the entire next step. A run of losses makes that step grow much faster than the small target profit.

In the trainer Before betting, add the cost of every step you intend to allow. Decide where the sequence stops.

Practice with virtual paws ↗
03 / Build on wins

Paroli

10 → 20 → 40 → reset

Reverse the direction of the ladder: raise the stake after a win instead of a loss. One common version takes three successive wins as its stopping point. Decide that target in advance, because a later loss can give back the gains from the earlier steps.

In the trainer Practice a three-win cycle with a fixed starting unit. Record both completed cycles and interrupted ones.

Practice with virtual paws ↗

See how this approach fits alongside Winnary signals.

Explore the Paroli analysis on Winnary ↗
04 / One unit at a time

D’Alembert

10 → 20 → 30 → 20

Move up by one unit after a loss and down by one after a win, keeping a minimum stake of one unit. The ladder climbs more slowly than doubling, but a prolonged losing sequence can still leave a large stake and a long recovery path.

In the trainer Write down each new stake. Compare the largest amount at risk with your starting unit.

Practice with virtual paws ↗

See how this approach fits alongside Winnary signals.

Explore the D’Alembert analysis on Winnary ↗
05 / Follow an additive ladder

Fibonacci

10 → 10 → 20 → 30 → 50

Use the next number in the Fibonacci sequence after a loss; a common rule moves back two positions after a win. The sequence starts gently, then accelerates. Its apparent neatness should not hide the total committed along the way.

In the trainer Choose a last permitted position before starting. Track the running total as well as the current step.

Practice with virtual paws ↗

See how this approach fits alongside Winnary signals.

Explore the Fibonacci analysis on Winnary ↗
06 / Work through a list

Labouchère

1, 2, 3, 4 · first stake: 5 units

Write a list of units and bet the sum of its first and last entries on an even-money outcome. Cross those entries out after a win; append the lost stake after a loss. The target is built into the list, while the amount needed to pursue it can expand as the list grows.

In the trainer Use a short list and a hard stake ceiling. Check how quickly a few losses change the next amount.

Practice with virtual paws ↗

See how this approach fits alongside Winnary signals.

Explore the Labouchère analysis on Winnary ↗
07 / A preset winning sequence

1–3–2–6

10 → 30 → 20 → 60

Advance through four prescribed stakes after consecutive wins. A loss usually returns the plan to its first step, and completing the fourth win ends the cycle. Unlike a loss-recovery ladder, this plan deliberately varies how much of an earlier gain remains exposed.

In the trainer Use the same reset rule for every cycle. Compare complete runs with the many runs that stop early.

Practice with virtual paws ↗

See how this approach fits alongside Winnary signals.

Explore the 1–3–2–6 analysis on Winnary ↗
08 / Choose coverage on the wheel

Sectors & neighbors

Voisins · Tiers · Orphelins · Spiel

Sector bets group pockets by their position around the wheel. A neighbor selection starts with one pocket and extends to either side in wheel order. These are choices about which numbers to cover; the separate staking plan determines how much you put on that coverage.

In the trainer Switch to Racetrack, change the neighbor count and inspect every chip in the resulting layout.

Practice with virtual paws ↗
From a rule to a measured run

Read the numbers behind a strategy.

Roulette Strategy combines Winnary entry conditions with explicit stake schedules. Its simulations are a separate resource: inspect the assumptions, stake limits and recorded results together. A related example is not a backtest of every plan described above.

Practice here uses fictional tables and virtual paws. A stake sequence changes exposure, not the standard single-zero reference RTP of 97.30%. Read the simulation assumptions.