Does Oscar’s Grind work?
No. On 20,000 seeded European-wheel sessions, Oscar’s Grind walked away $200 up 71.6% of the time and still lost $122.52 per session on average: −$2.67 for every $100 wagered, the house edge within sampling noise.
How Oscar’s Grind is played
- Each series aims to finish exactly one unit ahead. Start at one unit.
- After a loss, keep the same stake.
- After a win, raise the stake by one unit, but never above what is needed to finish the series one unit up.
- When the series reaches +1 unit, start a new series at one unit.
What 20,000 sessions show
Sessions that finished ahead were up $199.95 on average; sessions that finished behind were down $937.49. 28.3% of sessions ended because the next stake no longer fit the bankroll or the table limit.
Oscar’s Grind only raises stakes after wins, which makes it feel conservative. A series that starts badly can still run for hundreds of spins, with the stake creeping up each time a win arrives, while the series deficit grows.
The median session lasted 225 spins. The median longest losing run was 7 spins in a row (the worst of 20,000 was 21), and one session in ten put at least $145 on the table in a single spin.
European versus American wheel
The same 20,000 seeds, replayed on a double-zero wheel. The second zero roughly doubles the edge to $5.26 per $100 wagered. Measured return goes from −$2.67 to −$5.41 per $100, and the mean session from −$123 to −$281.
| Metric | European (one zero) | American (two zeros) |
|---|---|---|
| Walked away +$200 | 71.6% | 57.5% |
| Busted (stake no longer fit) | 28.3% | 42.2% |
| Hit the 500-spin cap | 0.1% | 0.3% |
| Finished in profit | 71.7% | 57.7% |
| Mean result per session | −$123 | −$281 |
| Median final bankroll | $1,200 | $1,200 |
| 10th / 90th percentile | $45 / $1,200 | $30 / $1,200 |
| Mean amount wagered | $4,587 | $5,192 |
| Return per $100 wagered | −$2.67 | −$5.41 |
The code that produced these numbers
This Lua is the strategy as Engineer mode runs it, inside the same sandbox and kernel. A test in the repository replays it against the bulk generator on fixed seeds and fails the build if the two ever disagree by a single dollar.
-- Oscar’s Grind: aim for one unit of profit per series, raising the stake only after a win.
-- Session rules shared by every 0xroulette.com/systems page:
-- $5 unit, $500 table max, walk away at +$200, and stop the moment
-- the next stake can't be covered by the bankroll or the table limit.
local UNIT, TABLE_MAX, TARGET = 5, 500, 200
local stake, profit
local function reset() stake, profit = 1, 0 end
local function place(ctx)
return { { type = "red", amount = UNIT * stake } }
end
local function settle(result)
if result.net > 0 then
profit = profit + stake
if profit >= 1 then
stake, profit = 1, 0
else
stake = math.min(stake + 1, 1 - profit)
end
else
profit = profit - stake
end
end
-- Shared wrapper: enforces the session rules around place/settle.
strategy = {}
local start, stopped
function strategy.setup(ctx)
start, stopped = ctx.bankroll, false
reset()
end
function strategy.bet(ctx)
if stopped or ctx.bankroll >= start + TARGET then
stopped = true
return {}
end
local bets, stake = place(ctx), 0
for _, b in ipairs(bets) do
if b.amount > TABLE_MAX then stopped = true end
stake = stake + b.amount
end
if stake > ctx.bankroll then stopped = true end
if stopped then return {} end
return bets
end
function strategy.on_spin(ctx, result)
if not stopped then settle(result) end
end
Session rules
- Bankroll / unit
- $1,000 / $5
- Exit rules
- walk away at +$200 ($1,200); 500 spins; stop when the next stake exceeds the bankroll or the table maximum
- Table maximum
- $500 per bet
- Seeds
- 20,000 per wheel from master seed
0x6d2e6c8b, identical for every system
Limitations
One bankroll, one unit size, one table limit, and one walk-away target. A bigger bankroll or a higher limit moves where a progression breaks; it does not change the return per dollar wagered. Spins are fair and independent, as on a correctly functioning wheel or a certified RNG. Physical wheel bias is a separate question, covered on Physics.