Roulette Wolfie Ladder version G - Last updated: October 8, 2026

80% win rate based on all 3,764 runs ( SEE results for more details )


I have made about 18 different versions of the Wolfie Ladder and have them all competing to see which is the best version. See the results page to see which is doing the best. When you go to lupopedia.com/wolfie_ladder/ the current winner is shown.

Version G is version F with stage 2 added. Stage 2 uses the same steps as version Z stage 2. The starting bank is 500 and the goal is 600. (basically 2 runs of the ladder ) Version Z is version Y, except the final stage bet amounts have changed and the number of steps changed from 7 down to 6 which i am coming to understand is the sweet spot for the win rate. also added waiting for the sequence to reset on step 28 .

There are 6 other versions of version Z that use this same system, with goals of winning $100, $200, $300, $400, $500, and $600. Winning $100 is Z2100, winning $200 is Z2200, winning $300 is Z2300, winning $400 is Z2400, winning $500 is Z2500, and winning $600 is Z2600. Counterintuitively, adding a 7th bet in stage 1 or stage 2 seemed to do worse in trials. Compounded probability increased about 3%, but the trials showed it did not work as well. When version G looses it usally feels like a crime because you have to loose 6+ times in row 2 times while playing which feels like lady luck is mad at you.

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 4 stages, all 28 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 between ~83% and ~90% . 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, 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 ~86.2%+ across 10,000 full trials. Not because it wins every spin — but because it wins the sequence. Other winning version of the wolfie ladder are version A, version B, version C, version D, and version X. version D has a win rate of 86.2% at 10,000 runs. version X has a win rate of 88.2% at 300 runs. ( it is new)



update 10/06/2026: changed first bet to be single dozen bets instead of 2 dozen bets see version H for having that be 2 dozen bets . updated the bank needed to reset to add 222 instead o f 300 at end of stage 2 as the bank needed at the end of stage 2 is a loss of 221 and the 222 is a angel number :)

THE WOLFIE LADDER SYSTEM (Step-by-Step)

CLICK HERE IF YOU WANT TO KNOW THE REASONING BEHIND THESE STEPS
STAGE 1:
1️⃣ Bet $4 on the first dozen. If win → reset ladder, back to Step 1. If lose → Step 2. ( net win at this step is $8 )
2️⃣ Bet $6 on the first dozen. Win → reset. Lose → Step 3. ( net win at this step is $8 )
3️⃣ Bet $9 on the first dozen. Win → reset. Lose → Step 4. ( net win at this step is $8 )
4️⃣ Bet $13 on the first dozen. Win → reset. Lose → Step 5. ( net win at this step is $7 )
5️⃣ Bet $20 on the first dozen. Win → reset. Lose → Step 6. ( net win at this step is $8 )
6️⃣ Bet $30 on the first dozen. Win → reset. Lose → set bank_needed_to_reset = current bank + 80, then Step 7. ( net win at this step is $8 )
7️⃣ Bet $0 on the first dozen and wait for a hit. A miss stays on Step 7. Win & bank > bank_needed_to_reset → Step 1. Win but bank ≤ bank_needed_to_reset → Step 8.
STAGE 2:
8️⃣ Bet $10 on the first dozen. 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 $20 )
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 $22 )
🔟 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 $22 )
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 $22 )
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 $22 )
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 = 500, then Step 14. ( net win at this step is $22 )
1️⃣4️⃣ Bet $0 on the first dozen and wait for a hit. A miss stays on Step 14. Win & bank > bank_needed_to_reset → Step 1. Win but bank ≤ bank_needed_to_reset → Step 8.

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

Steps 7 and 14 bet $0 and wait. A miss stays on that step. A hit returns to step 1 only when the bank is above bank_needed_to_reset. Otherwise the hit goes to step 8. Version Y is version H with the opening two-dozen bet of stage 1, stage 2, and stage 3 converted to a single dozen bet. A dozen bet hits 12 of 38 numbers, about 31.58% of the time, and loses about 68.42% of the time. The six dozen bets before each wait fail about 10.26% of the time, so the sequence survives about 89.74% of the time. A 7th dozen bet would raise survival by about 3 percentage points, to about 92.98%. Counterintuitively, adding that 7th bet in stage 1 or stage 2 seemed to do worse in trials, so those stages stay at six bets. The house edge is still there. This is controlled exposure, not a 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
53.00
Net Units
-447.00
Wins / Losses
53 / 138
Max Step Reached
14
Run Status
Bank Depleted or Game Over
Table Limit Hit
No
Bank Depleted
Yes

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 4 on first dozen 30 Loss 496.00 2 Step 1
2 6 on first dozen 12 Win 508.00 1 Step 2
3 4 on first dozen 1 Win 516.00 1 Step 1
4 4 on first dozen 19 Loss 512.00 2 Step 1
5 6 on first dozen 8 Win 524.00 1 Step 2
6 4 on first dozen 00 Loss 520.00 2 Step 1
7 6 on first dozen 19 Loss 514.00 3 Step 2
8 9 on first dozen 1 Win 532.00 1 Step 3
9 4 on first dozen 33 Loss 528.00 2 Step 1
10 6 on first dozen 26 Loss 522.00 3 Step 2
11 9 on first dozen 36 Loss 513.00 4 Step 3
12 13 on first dozen 7 Win 539.00 1 Step 4
13 4 on first dozen 7 Win 547.00 1 Step 1
14 4 on first dozen 13 Loss 543.00 2 Step 1
15 6 on first dozen 1 Win 555.00 1 Step 2
16 4 on first dozen 27 Loss 551.00 2 Step 1
17 6 on first dozen 10 Win 563.00 1 Step 2
18 4 on first dozen 29 Loss 559.00 2 Step 1
19 6 on first dozen 00 Loss 553.00 3 Step 2
20 9 on first dozen 23 Loss 544.00 4 Step 3
21 13 on first dozen 22 Loss 531.00 5 Step 4
22 20 on first dozen 18 Loss 511.00 6 Step 5
23 30 on first dozen 16 Loss 481.00 7 Step 6
24 0 on first dozen 35 Loss 481.00 7 Step 7
25 0 on first dozen 00 Loss 481.00 7 Step 7
26 0 on first dozen 19 Loss 481.00 7 Step 7
27 0 on first dozen 16 Loss 481.00 7 Step 7
28 0 on first dozen 30 Loss 481.00 7 Step 7
29 0 on first dozen 1 Win 481.00 8 Step 7
30 10 on first dozen 25 Loss 471.00 9 Step 8
31 16 on first dozen 0 Loss 455.00 10 Step 9
32 24 on first dozen 17 Loss 431.00 11 Step 10
33 36 on first dozen 24 Loss 395.00 12 Step 11
34 54 on first dozen 26 Loss 341.00 13 Step 12
35 81 on first dozen 3 Win 503.00 8 Step 13
36 10 on first dozen 11 Win 523.00 8 Step 8
37 10 on first dozen 21 Loss 513.00 9 Step 8
38 16 on first dozen 8 Win 545.00 8 Step 9
39 10 on first dozen 16 Loss 535.00 9 Step 8
40 16 on first dozen 17 Loss 519.00 10 Step 9
41 24 on first dozen 4 Win 567.00 1 Step 10
42 4 on first dozen 18 Loss 563.00 2 Step 1
43 6 on first dozen 27 Loss 557.00 3 Step 2
44 9 on first dozen 29 Loss 548.00 4 Step 3
45 13 on first dozen 27 Loss 535.00 5 Step 4
46 20 on first dozen 28 Loss 515.00 6 Step 5
47 30 on first dozen 22 Loss 485.00 7 Step 6
48 0 on first dozen 1 Win 485.00 8 Step 7
49 10 on first dozen 15 Loss 475.00 9 Step 8
50 16 on first dozen 22 Loss 459.00 10 Step 9
51 24 on first dozen 23 Loss 435.00 11 Step 10
52 36 on first dozen 10 Win 507.00 8 Step 11
53 10 on first dozen 35 Loss 497.00 9 Step 8
54 16 on first dozen 27 Loss 481.00 10 Step 9
55 24 on first dozen 6 Win 529.00 8 Step 10
56 10 on first dozen 1 Win 549.00 8 Step 8
57 10 on first dozen 34 Loss 539.00 9 Step 8
58 16 on first dozen 4 Win 571.00 1 Step 9
59 4 on first dozen 13 Loss 567.00 2 Step 1
60 6 on first dozen 27 Loss 561.00 3 Step 2
61 9 on first dozen 16 Loss 552.00 4 Step 3
62 13 on first dozen 36 Loss 539.00 5 Step 4
63 20 on first dozen 15 Loss 519.00 6 Step 5
64 30 on first dozen 29 Loss 489.00 7 Step 6
65 0 on first dozen 32 Loss 489.00 7 Step 7
66 0 on first dozen 5 Win 489.00 8 Step 7
67 10 on first dozen 5 Win 509.00 8 Step 8
68 10 on first dozen 10 Win 529.00 8 Step 8
69 10 on first dozen 34 Loss 519.00 9 Step 8
70 16 on first dozen 32 Loss 503.00 10 Step 9
71 24 on first dozen 25 Loss 479.00 11 Step 10
72 36 on first dozen 15 Loss 443.00 12 Step 11
73 54 on first dozen 23 Loss 389.00 13 Step 12
74 81 on first dozen 19 Loss 308.00 14 Step 13
75 0 on first dozen 11 Win 308.00 8 Step 14
76 10 on first dozen 36 Loss 298.00 9 Step 8
77 16 on first dozen 33 Loss 282.00 10 Step 9
78 24 on first dozen 9 Win 330.00 8 Step 10
79 10 on first dozen 14 Loss 320.00 9 Step 8
80 16 on first dozen 36 Loss 304.00 10 Step 9
81 24 on first dozen 24 Loss 280.00 11 Step 10
82 36 on first dozen 2 Win 352.00 8 Step 11
83 10 on first dozen 17 Loss 342.00 9 Step 8
84 16 on first dozen 26 Loss 326.00 10 Step 9
85 24 on first dozen 6 Win 374.00 8 Step 10
86 10 on first dozen 18 Loss 364.00 9 Step 8
87 16 on first dozen 34 Loss 348.00 10 Step 9
88 24 on first dozen 22 Loss 324.00 11 Step 10
89 36 on first dozen 14 Loss 288.00 12 Step 11
90 54 on first dozen 27 Loss 234.00 13 Step 12
91 81 on first dozen 4 Win 396.00 8 Step 13
92 10 on first dozen 12 Win 416.00 8 Step 8
93 10 on first dozen 4 Win 436.00 8 Step 8
94 10 on first dozen 17 Loss 426.00 9 Step 8
95 16 on first dozen 14 Loss 410.00 10 Step 9
96 24 on first dozen 20 Loss 386.00 11 Step 10
97 36 on first dozen 30 Loss 350.00 12 Step 11
98 54 on first dozen 25 Loss 296.00 13 Step 12
99 81 on first dozen 3 Win 458.00 8 Step 13
100 10 on first dozen 23 Loss 448.00 9 Step 8
101 16 on first dozen 4 Win 480.00 8 Step 9
102 10 on first dozen 25 Loss 470.00 9 Step 8
103 16 on first dozen 16 Loss 454.00 10 Step 9
104 24 on first dozen 9 Win 502.00 1 Step 10
105 4 on first dozen 29 Loss 498.00 2 Step 1
106 6 on first dozen 16 Loss 492.00 3 Step 2
107 9 on first dozen 22 Loss 483.00 4 Step 3
108 13 on first dozen 18 Loss 470.00 5 Step 4
109 20 on first dozen 32 Loss 450.00 6 Step 5
110 30 on first dozen 36 Loss 420.00 7 Step 6
111 0 on first dozen 34 Loss 420.00 7 Step 7
112 0 on first dozen 18 Loss 420.00 7 Step 7
113 0 on first dozen 6 Win 420.00 8 Step 7
114 10 on first dozen 12 Win 440.00 8 Step 8
115 10 on first dozen 13 Loss 430.00 9 Step 8
116 16 on first dozen 23 Loss 414.00 10 Step 9
117 24 on first dozen 14 Loss 390.00 11 Step 10
118 36 on first dozen 16 Loss 354.00 12 Step 11
119 54 on first dozen 34 Loss 300.00 13 Step 12
120 81 on first dozen 27 Loss 219.00 14 Step 13
121 0 on first dozen 15 Loss 219.00 14 Step 14
122 0 on first dozen 19 Loss 219.00 14 Step 14
123 0 on first dozen 2 Win 219.00 8 Step 14
124 10 on first dozen 11 Win 239.00 8 Step 8
125 10 on first dozen 28 Loss 229.00 9 Step 8
126 16 on first dozen 5 Win 261.00 8 Step 9
127 10 on first dozen 18 Loss 251.00 9 Step 8
128 16 on first dozen 23 Loss 235.00 10 Step 9
129 24 on first dozen 27 Loss 211.00 11 Step 10
130 36 on first dozen 1 Win 283.00 8 Step 11
131 10 on first dozen 34 Loss 273.00 9 Step 8
132 16 on first dozen 20 Loss 257.00 10 Step 9
133 24 on first dozen 6 Win 305.00 8 Step 10
134 10 on first dozen 24 Loss 295.00 9 Step 8
135 16 on first dozen 23 Loss 279.00 10 Step 9
136 24 on first dozen 35 Loss 255.00 11 Step 10
137 36 on first dozen 14 Loss 219.00 12 Step 11
138 54 on first dozen 11 Win 327.00 8 Step 12
139 10 on first dozen 31 Loss 317.00 9 Step 8
140 16 on first dozen 18 Loss 301.00 10 Step 9
141 24 on first dozen 20 Loss 277.00 11 Step 10
142 36 on first dozen 26 Loss 241.00 12 Step 11
143 54 on first dozen 2 Win 349.00 8 Step 12
144 10 on first dozen 28 Loss 339.00 9 Step 8
145 16 on first dozen 16 Loss 323.00 10 Step 9
146 24 on first dozen 23 Loss 299.00 11 Step 10
147 36 on first dozen 36 Loss 263.00 12 Step 11
148 54 on first dozen 12 Win 371.00 8 Step 12
149 10 on first dozen 4 Win 391.00 8 Step 8
150 10 on first dozen 23 Loss 381.00 9 Step 8
151 16 on first dozen 22 Loss 365.00 10 Step 9
152 24 on first dozen 18 Loss 341.00 11 Step 10
153 36 on first dozen 22 Loss 305.00 12 Step 11
154 54 on first dozen 0 Loss 251.00 13 Step 12
155 81 on first dozen 32 Loss 170.00 14 Step 13
156 0 on first dozen 23 Loss 170.00 14 Step 14
157 0 on first dozen 9 Win 170.00 8 Step 14
158 10 on first dozen 35 Loss 160.00 9 Step 8
159 16 on first dozen 10 Win 192.00 8 Step 9
160 10 on first dozen 18 Loss 182.00 9 Step 8
161 16 on first dozen 12 Win 214.00 8 Step 9
162 10 on first dozen 27 Loss 204.00 9 Step 8
163 16 on first dozen 12 Win 236.00 8 Step 9
164 10 on first dozen 31 Loss 226.00 9 Step 8
165 16 on first dozen 33 Loss 210.00 10 Step 9
166 24 on first dozen 32 Loss 186.00 11 Step 10
167 36 on first dozen 8 Win 258.00 8 Step 11
168 10 on first dozen 12 Win 278.00 8 Step 8
169 10 on first dozen 6 Win 298.00 8 Step 8
170 10 on first dozen 10 Win 318.00 8 Step 8
171 10 on first dozen 18 Loss 308.00 9 Step 8
172 16 on first dozen 28 Loss 292.00 10 Step 9
173 24 on first dozen 14 Loss 268.00 11 Step 10
174 36 on first dozen 35 Loss 232.00 12 Step 11
175 54 on first dozen 32 Loss 178.00 13 Step 12
176 81 on first dozen 19 Loss 97.00 14 Step 13
177 0 on first dozen 00 Loss 97.00 14 Step 14
178 0 on first dozen 16 Loss 97.00 14 Step 14
179 0 on first dozen 19 Loss 97.00 14 Step 14
180 0 on first dozen 21 Loss 97.00 14 Step 14
181 0 on first dozen 26 Loss 97.00 14 Step 14
182 0 on first dozen 31 Loss 97.00 14 Step 14
183 0 on first dozen 35 Loss 97.00 14 Step 14
184 0 on first dozen 9 Win 97.00 8 Step 14
185 10 on first dozen 15 Loss 87.00 9 Step 8
186 16 on first dozen 10 Win 119.00 8 Step 9
187 10 on first dozen 5 Win 139.00 8 Step 8
188 10 on first dozen 29 Loss 129.00 9 Step 8
189 16 on first dozen 20 Loss 113.00 10 Step 9
190 24 on first dozen 29 Loss 89.00 11 Step 10
191 36 on first dozen 36 Loss 53.00 12 Step 11

Probability Reality Check

To understand the logic behind my system, I first need to explain what I call the gambling crimes against statistics and probability math that most online “systems” commit. Take the Fibonacci sequence used for dozen bets — the classic 1, 1, 2, 3, 5, 8, 13, 21, 34, 55… progression. Beautiful in nature, great for sunflowers, terrible for roulette.

The Core Probability Error

A standard dozen bet covers 12 numbers on an American wheel (38 pockets). So the true win probability is:

12/38 = 31.58% win

26/38 = 68.42% loss

This probability never changes, even after 20 losses. The wheel has no memory. If you track every 21st bet after a 20‑loss streak, the win rate still converges to 31.58%. (and Brah I actually have done this)

Compounded Probability vs. Changing Odds

People confuse compounded probability with changing odds. They are not the same.

Each spin still has a 68.42% chance of losing, but the probability of losing multiple times in a row compounds:

After about seven losses, the absolute drop per step becomes small, but the next spin is still 31.58% to win. Restarting the sequence does not change the odds; it only changes your bankroll exposure. Also, after building many versions of this system, I found something counterintuitive. Stopping at step six and then resetting the sequence consistently performed about three to four percent better than continuing to step seven. Even though reaching step seven is only about a one‑in‑ten event, stacking four or five of those one‑in‑ten chances ends up being stronger than pushing the ladder all the way to step seven.

The Fibonacci Net‑Win Trap

As you climb the Fibonacci ladder, your bet size increases — but your net win target also increases, even though the odds never improve.

Using the first 9 Fibonacci bets (1, 1, 2, 3, 5, 8, 13, 21, 34) with a 2:1 dozen payout:

But every one of those bets still wins 31.58% of the time.

Why this is mathematically stupid

Correct Comparison: Even‑Money vs. Dozen Bets

Even‑Money (red/black)

Compounded losses:

By the 5th bet, you’ve already lost more than you can realistically win back.

Dozen Bets

Compounded losses:

The Real Trade‑Off

A correct dozen‑based system would:

Bottom Line

Also I have a system that wins $100 in sequences of bets 90% of the time so, again, respectfully:

variance can Suck it.

👉 Wolfie Ladder: https://lupopedia.com/wolfie_ladder/