Roulette Wolfie Ladder version G - Last updated: October 3, 2026

83% win rate based on all 415 runs ( SEE results for more details )


this is my trial / work in progress version of the wolfie ladder system. see version D for the full system with recovery.

the goal is trying to get a system with small bets on a elecronic roulette table with min bet $3 and max be $250 on a dozen bet.


update 10/01/2026: removed the waiting for a win for stage 1.5 and stage 2.5 seemed to make no notibale difference in the win rate. also added database to save the runs and display the win rate on the results page. Also removed step 7 to keep the system simple and fast we have a 5% chance of hitting this but we will recover it. see version A for having that step included back in.

update 10/02/2026: removed step 14 to keep the system simple and fast we have a 5% chance of hitting this but we will recover it. see version B for having that step included back in. removed step 22 ( see version C for having that step included back in) if loosing step 21 and not bankrupt reset the ladder and start over on stage 3 . Reason being that step 22 had a 31% chance of winning but the chances of winning the stages in the ladder 10 times is 68% . you have a better chance of getting the money back doing the ladder.

People keep misunderstanding what I actually built, so here is the truth in plain English: I am not a gambler — I am a programmer. I did not sit there playing 10,000 roulette games like some guy with a lucky rabbit foot. I wrote a program that runs the entire Wolfie Ladder — all 3 stages, all 21 steps — across 50 to 300 simultaneous games on a single page, and then I repeated that whole batch 10,000 times. That is how you get a real statistical picture. That is how you reach a ~90% win rate. Not vibes. Not superstition. Not “progressions” like Fibonacci that blow up the moment variance sneezes. The Wolfie Ladder is engineered to survive streaks, recover losses, and beat the distribution curve — and I tested it by running 10,000+ full sequences in under 30 minutes, not by hand playing one spin at a time. If people think I sat there clicking red/black like a zombie, they really do not understand who they are talking to. When i first made this system luck i guess was on my side because the first few hundred times i was playing it i was winning at a rate of 91% of the time but as i kept running it more and more times the win rate started to drop and now it is at ~80% . And here’s the part people really don’t understand: the Wolfie Ladder wins even when the game‑level win rate is losing. For example — in one of the sequences on the active tab, the system played 92 total games. Out of those:
38 wins
54 losses
Including a brutal streak where it lost every single bet from #52 through #67
That’s 16 consecutive losses in the middle of the run.
And despite that? Despite losing more games than it won? Despite eating a variance spike that would vaporize Fibonacci, Martingale, or any “pro gambler” strategy?
It still finished the sequence up +$100.
That’s the point. The Ladder doesn’t care about “win more than you lose.” It cares about sequence structure, distribution recovery, and controlled escalation. It’s engineered to survive streaks, absorb damage, and still exit the sequence profitable — even when the raw win/loss ratio looks terrible.
This is why the system works. This is why the win rate stabilizes around ~78.2% across 10,000 full trials. Not because it wins every spin — but because it wins the sequence.
THE WOLFIE LADDER SYSTEM (Step-by-Step) CLICK HERE IF YOU WANT TO KNOW THE REASONING BEHIND THESE STEPS
STAGE 1:
1️⃣ Bet on two dozens, $3 each (total $6). If win → net +$3, reset ladder, back to Step 1. If lose → Step 2.
2️⃣ Bet on two dozens, $9 each (total $18). Win → net +$3 ($9 minus the $6 lost on Step 1), reset. Lose → Step 3.
3️⃣ Bet $14 on the first dozen. Win → net +$4 ($28 minus the $24 already lost), reset. Lose → Step 4.
4️⃣ Bet $21 on the first dozen. Win → net +$4 ($42 minus the $38 already lost), reset. Lose → Step 5.
5️⃣ Bet $28 on the first dozen. Win → net −$3 ($56 minus the $59 already lost), reset. Lose → Step 6.
6️⃣ Bet $42 on the first dozen. Win → net −$3 ($84 minus the $87 already lost), reset. Lose → set bank_needed_to_reset = current bank + 90, then Step 8.
7️⃣(Removed in Version B. It only increased Stage‑1 probability by ~2%, but added a heavy 45‑unit cost. Cutting it keeps the system simpler, faster, and far less volatile. We still have a ~5% chance of hitting this loss, but the ladder easily recovers it.)
STAGE 2:
8️⃣ Bet $10 on two dozens. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → repeat Step 8. Lose → Step 9. ( net win at this step is $10 )
9️⃣ Bet $16 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 8. Lose → Step 10. ( net win at this step is $12 )
🔟 Bet $24 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 8. Lose → Step 11. ( net win at this step is $12 )
1️⃣1️⃣ Bet $36 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 8. Lose → Step 12. ( net win at this step is $12 )
1️⃣2️⃣ Bet $54 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 8. Lose → Step 13. ( net win at this step is $12 )
1️⃣3️⃣ Bet $81 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 8. Lose → set bank_needed_to_reset = current bank + 300, then Step 15. ( net win at this step is $12 )
1️⃣4️⃣ (Removed in Version C. It only increased Stage‑2 probability by ~2%, but added a heavy 122‑unit cost.
STAGE 3:
1️⃣5️⃣ Bet $25 on two dozens. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → repeat Step 15. Lose → Step 16.
1️⃣6️⃣ Bet $40 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 15. Lose → Step 17.
1️⃣7️⃣ Bet $60 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 15. Lose → Step 18.
1️⃣8️⃣ Bet $90 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 15. Lose → Step 19.
1️⃣9️⃣ Bet $130 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 15. Lose → Step 20.
2️⃣0️⃣ Bet $190 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 15. Lose → Step 21.
2️⃣1️⃣ Bet $250 on the first dozen. Win & bank > bank_needed_to_reset → reset. Win but bank ≤ bank_needed_to_reset → Step 15. Lose → Step 15.

Roulette wheel
This system was build using 80 diffent ai agents across 8 LLM models to test the best possible system for roulette using lupopedia AI platform.
The programmer captain wolfie (Eric) was too board playing just one game at a time so programmed this to play up to 500 games all at once, that way can play thousands of times a minute and find the best stratagy that holds up . .
Want the full story? Check out the Patreon post for the complete dialog between Captain Wolfie, Grok, and the mischievous Lilith!

Why my versions are A, B, C instead of major.minor.patch Because the traditional versioning system — major.minor.patch — is meaningless for what I’m doing here. I’m not shipping software releases. I’m iterating behavioral variants of a probability engine. Each version (A, B, C… all the way to ZZ if I want) represents a distinct ladder logic, a distinct recovery pattern, a distinct volatility profile, and a distinct mathematical personality. These aren’t “patches.” These aren’t “minor updates.” These are forks of logic. Version A behaves one way. Version B behaves another way. Version C might remove a step, add a step, rebalance a stage, or change the volatility curve entirely. Using semantic versioning (4.0.96, 4.0.97, etc.) would imply these are incremental changes to the same system — but they’re not. They’re parallel universes. So I use lettered versions because: They’re simple They’re human-readable They reflect behavior, not “patch level” They let me branch logic infinitely (A → B → C → … → Z → AA → AB → … → ZZ) They match how I actually think about the system In other words: Version A is a creature. Version B is a different creature. Version C is another creature. Letters make more sense for creatures than numbers.

Probability Reality Check

American wheel dozen loss probability stays the same on every spin: about 68.42% to lose, 31.58% to hit your dozen. Even after 10 or 15 losses in a row, the next spin is still roughly 1/3 to win, 2/3 to lose. This ladder doesn't pretend the odds improve—it only adjusts stake size so that, when you do finally win, you aim to recover with the progression. The house edge is still there; this is about controlled exposure, not guaranteed profit.

500-Round Simulation (American Wheel Model)

MySQL connected to collab52_salessyntax on localhost. This run was saved to wolfie_ladder_runs.

Every time this page loads it simulates 500 games using the WOLFIE Ladder exactly as defined here or stops if you win $100+ How did you do? If the run ended in the cliff, click here to try again and generate a fresh 500-game sequence. Saved runs are listed on wolfie_ladder_results.php.

Final Bank
61.00
Net Units
-1,439.00
Wins / Losses
39 / 56
Max Step Reached
21
Run Status
Active
Table Limit Hit
No
Bank Depleted
No

Below is one 500-bet run. Each roll uses the real American wheel odds (12/38 for single dozen). Every time a win hits, we reset or loop based on rules.

# Bet Wheel Result Bank Next Step Mode
1 3 each on two dozens 17 Win 1,503.00 1 Step 1
2 3 each on two dozens 14 Win 1,506.00 1 Step 1
3 3 each on two dozens 22 Win 1,509.00 1 Step 1
4 3 each on two dozens 31 Loss 1,503.00 2 Step 1
5 9 each on two dozens 34 Loss 1,485.00 3 Step 2
6 14 on first dozen 28 Loss 1,471.00 4 Step 3
7 21 on first dozen 0 Loss 1,450.00 5 Step 4
8 28 on first dozen 15 Loss 1,422.00 6 Step 5
9 42 on first dozen 15 Loss 1,380.00 8 Step 6
10 10 each on two dozens 28 Loss 1,360.00 9 Step 8
11 16 on first dozen 27 Loss 1,344.00 10 Step 9
12 24 on first dozen 0 Loss 1,320.00 11 Step 10
13 36 on first dozen 6 Win 1,392.00 8 Step 11
14 10 each on two dozens 0 Loss 1,372.00 9 Step 8
15 16 on first dozen 17 Loss 1,356.00 10 Step 9
16 24 on first dozen 20 Loss 1,332.00 11 Step 10
17 36 on first dozen 19 Loss 1,296.00 12 Step 11
18 54 on first dozen 34 Loss 1,242.00 13 Step 12
19 81 on first dozen 32 Loss 1,161.00 15 Step 13
20 25 each on two dozens 33 Loss 1,111.00 16 Step 15
21 40 on first dozen 27 Loss 1,071.00 17 Step 16
22 60 on first dozen 19 Loss 1,011.00 18 Step 17
23 90 on first dozen 16 Loss 921.00 19 Step 18
24 130 on first dozen 16 Loss 791.00 20 Step 19
25 190 on first dozen 25 Loss 601.00 21 Step 20
26 250 on first dozen 28 Loss 351.00 15 Step 21
27 25 each on two dozens 13 Win 376.00 15 Step 15
28 25 each on two dozens 20 Win 401.00 15 Step 15
29 25 each on two dozens 10 Win 426.00 15 Step 15
30 25 each on two dozens 33 Loss 376.00 16 Step 15
31 40 on first dozen 17 Loss 336.00 17 Step 16
32 60 on first dozen 3 Win 456.00 15 Step 17
33 25 each on two dozens 20 Win 481.00 15 Step 15
34 25 each on two dozens 00 Loss 431.00 16 Step 15
35 40 on first dozen 31 Loss 391.00 17 Step 16
36 60 on first dozen 20 Loss 331.00 18 Step 17
37 90 on first dozen 26 Loss 241.00 19 Step 18
38 130 on first dozen 1 Win 501.00 15 Step 19
39 25 each on two dozens 8 Win 526.00 15 Step 15
40 25 each on two dozens 11 Win 551.00 15 Step 15
41 25 each on two dozens 20 Win 576.00 15 Step 15
42 25 each on two dozens 14 Win 601.00 15 Step 15
43 25 each on two dozens 30 Loss 551.00 16 Step 15
44 40 on first dozen 21 Loss 511.00 17 Step 16
45 60 on first dozen 16 Loss 451.00 18 Step 17
46 90 on first dozen 16 Loss 361.00 19 Step 18
47 130 on first dozen 16 Loss 231.00 20 Step 19
48 190 on first dozen 10 Win 611.00 15 Step 20
49 25 each on two dozens 3 Win 636.00 15 Step 15
50 25 each on two dozens 20 Win 661.00 15 Step 15
51 25 each on two dozens 6 Win 686.00 15 Step 15
52 25 each on two dozens 12 Win 711.00 15 Step 15
53 25 each on two dozens 20 Win 736.00 15 Step 15
54 25 each on two dozens 7 Win 761.00 15 Step 15
55 25 each on two dozens 27 Loss 711.00 16 Step 15
56 40 on first dozen 16 Loss 671.00 17 Step 16
57 60 on first dozen 25 Loss 611.00 18 Step 17
58 90 on first dozen 3 Win 791.00 15 Step 18
59 25 each on two dozens 12 Win 816.00 15 Step 15
60 25 each on two dozens 13 Win 841.00 15 Step 15
61 25 each on two dozens 2 Win 866.00 15 Step 15
62 25 each on two dozens 18 Win 891.00 15 Step 15
63 25 each on two dozens 2 Win 916.00 15 Step 15
64 25 each on two dozens 7 Win 941.00 15 Step 15
65 25 each on two dozens 5 Win 966.00 15 Step 15
66 25 each on two dozens 33 Loss 916.00 16 Step 15
67 40 on first dozen 8 Win 996.00 15 Step 16
68 25 each on two dozens 25 Loss 946.00 16 Step 15
69 40 on first dozen 22 Loss 906.00 17 Step 16
70 60 on first dozen 24 Loss 846.00 18 Step 17
71 90 on first dozen 12 Win 1,026.00 15 Step 18
72 25 each on two dozens 18 Win 1,051.00 15 Step 15
73 25 each on two dozens 35 Loss 1,001.00 16 Step 15
74 40 on first dozen 20 Loss 961.00 17 Step 16
75 60 on first dozen 3 Win 1,081.00 15 Step 17
76 25 each on two dozens 16 Win 1,106.00 15 Step 15
77 25 each on two dozens 3 Win 1,131.00 15 Step 15
78 25 each on two dozens 31 Loss 1,081.00 16 Step 15
79 40 on first dozen 7 Win 1,161.00 15 Step 16
80 25 each on two dozens 24 Win 1,186.00 15 Step 15
81 25 each on two dozens 7 Win 1,211.00 15 Step 15
82 25 each on two dozens 35 Loss 1,161.00 16 Step 15
83 40 on first dozen 31 Loss 1,121.00 17 Step 16
84 60 on first dozen 26 Loss 1,061.00 18 Step 17
85 90 on first dozen 33 Loss 971.00 19 Step 18
86 130 on first dozen 30 Loss 841.00 20 Step 19
87 190 on first dozen 34 Loss 651.00 21 Step 20
88 250 on first dozen 19 Loss 401.00 15 Step 21
89 25 each on two dozens 0 Loss 351.00 16 Step 15
90 40 on first dozen 2 Win 431.00 15 Step 16
91 25 each on two dozens 26 Loss 381.00 16 Step 15
92 40 on first dozen 00 Loss 341.00 17 Step 16
93 60 on first dozen 26 Loss 281.00 18 Step 17
94 90 on first dozen 13 Loss 191.00 19 Step 18
95 130 on first dozen 23 Loss 61.00 20 Step 19

All the Math and Lilith and Wolfie Arguing About the System (Updated Canon)

American roulette: 38 numbers. A two-dozen bet covers 24 numbers and loses on 14: about 36.84% to lose, 63.16% to hit. A one-dozen bet covers 12 numbers and loses on 26: about 68.42% to lose, 31.58% to hit. Version G Stage 1 is two two-dozen bets, then four one-dozen bets. Stage 2 is one two-dozen bet, then five one-dozen bets. Stage 3 is one two-dozen bet, then six one-dozen bets. A loss does not change the odds of the next spin.

Stage 1 (steps 1–6)

Losing the whole stage means both two-dozen bets miss and then all four one-dozen bets miss:

P(Stage 1 bust) = (14/38)2 × (26/38)4 ≈ 2.97%

P(Stage 1 wins somewhere in the six steps) = 1 − 0.0297 ≈ 97.03%

Step 1

Bet: two dozens, $3 each (total $6). 14 losing numbers.

P(lose Step 1) = 14/38 ≈ 36.84%

Win → net +$3, reset to Step 1. This is where about 63.16% of Stage 1 sequences end. Lose → Step 2.

Step 2

Bet: two dozens, $9 each (total $18). Same 14 losing numbers.

P(lose Steps 1 and 2) = (14/38)2 ≈ 13.57%

Win → net +$3 ($9 minus the $6 already lost), reset. About 23.27% of sequences win here. Lose → Step 3.

Step 3

Bet: $14 on the first dozen. 26 losing numbers.

P(lose Steps 1–3) = (14/38)2 × (26/38) ≈ 9.29%

Win → net +$4 ($28 minus the $24 already lost), reset. About 4.29% of sequences win here. Lose → Step 4.

Step 4

Bet: $21 on the first dozen. Same 26 losing numbers.

P(lose Steps 1–4) = (14/38)2 × (26/38)2 ≈ 6.35%

Win → net +$4 ($42 minus the $38 already lost), reset. About 2.93% of sequences win here. Lose → Step 5.

Step 5

Bet: $28 on the first dozen.

P(lose Steps 1–5) = (14/38)2 × (26/38)3 ≈ 4.35%

Win → net −$3 ($56 minus the $59 already lost), reset. About 2.01% of sequences win here. The spin pays, and the sequence is still down $3. Lose → Step 6.

Step 6

Bet: $42 on the first dozen.

P(lose Steps 1–6) = (14/38)2 × (26/38)4 ≈ 2.97%

Win → net −$3 ($84 minus the $87 already lost), reset. About 1.37% of sequences win here. Lose → the six bets have cost $129 (6+18+14+21+28+42). Set bank_needed_to_reset = current bank + 90, then Step 8.

Stage 2 (steps 8–13)

One two-dozen bet ($10 each), then five one-dozen bets ($16, $24, $36, $54, $81). Losing the whole pass:

P(Stage 2 pass bust) = (14/38) × (26/38)5 ≈ 5.52%

P(Stage 2 wins somewhere in the pass) ≈ 94.48%

Chance of still being in the pass after each loss:

A win on Steps 8–13 returns to Step 1 only when the bank is above bank_needed_to_reset. Otherwise the ladder repeats Step 8. A loss on Step 13 sets bank_needed_to_reset = current bank + 300 and moves to Step 15.

Stage 3 (steps 15–21)

One two-dozen bet ($25 each), then six one-dozen bets ($40, $60, $90, $130, $190, $250). Losing the whole pass:

P(Stage 3 pass bust) = (14/38) × (26/38)6 ≈ 3.78%

P(Stage 3 wins somewhere in the pass) ≈ 96.22%

That 3.78% / 96.22% pair is the old seven-step ladder (one two-dozen bet and six one-dozen bets). On this version it belongs to Stage 3 only. Stage 1 is the 2.97% bust above.

Chance of still being in the pass after each loss:

A win on Steps 15–21 returns to Step 1 only when the bank is above bank_needed_to_reset. Otherwise the ladder repeats Step 15. A loss on Step 21 returns to Step 15. It does not end the game.