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

91% win rate based on all 1,418 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
65.00
Net Units
-435.00
Wins / Losses
25 / 75
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 18 Loss 496.00 2 Step 1
2 6 on first dozen 35 Loss 490.00 3 Step 2
3 9 on first dozen 23 Loss 481.00 4 Step 3
4 13 on first dozen 26 Loss 468.00 5 Step 4
5 20 on first dozen 0 Loss 448.00 6 Step 5
6 30 on first dozen 28 Loss 418.00 7 Step 6
7 0 on first dozen 31 Loss 418.00 7 Step 7
8 0 on first dozen 32 Loss 418.00 7 Step 7
9 0 on first dozen 22 Loss 418.00 7 Step 7
10 0 on first dozen 31 Loss 418.00 7 Step 7
11 0 on first dozen 36 Loss 418.00 7 Step 7
12 0 on first dozen 8 Win 418.00 8 Step 7
13 10 on first dozen 18 Loss 408.00 9 Step 8
14 16 on first dozen 24 Loss 392.00 10 Step 9
15 24 on first dozen 13 Loss 368.00 11 Step 10
16 36 on first dozen 11 Win 440.00 8 Step 11
17 10 on first dozen 1 Win 460.00 8 Step 8
18 10 on first dozen 0 Loss 450.00 9 Step 8
19 16 on first dozen 29 Loss 434.00 10 Step 9
20 24 on first dozen 22 Loss 410.00 11 Step 10
21 36 on first dozen 25 Loss 374.00 12 Step 11
22 54 on first dozen 28 Loss 320.00 13 Step 12
23 81 on first dozen 20 Loss 239.00 14 Step 13
24 0 on first dozen 9 Win 239.00 8 Step 14
25 10 on first dozen 5 Win 259.00 8 Step 8
26 10 on first dozen 28 Loss 249.00 9 Step 8
27 16 on first dozen 8 Win 281.00 8 Step 9
28 10 on first dozen 17 Loss 271.00 9 Step 8
29 16 on first dozen 30 Loss 255.00 10 Step 9
30 24 on first dozen 21 Loss 231.00 11 Step 10
31 36 on first dozen 34 Loss 195.00 12 Step 11
32 54 on first dozen 32 Loss 141.00 13 Step 12
33 81 on first dozen 36 Loss 60.00 14 Step 13
34 0 on first dozen 24 Loss 60.00 14 Step 14
35 0 on first dozen 24 Loss 60.00 14 Step 14
36 0 on first dozen 13 Loss 60.00 14 Step 14
37 0 on first dozen 00 Loss 60.00 14 Step 14
38 0 on first dozen 4 Win 60.00 8 Step 14
39 10 on first dozen 11 Win 80.00 8 Step 8
40 10 on first dozen 11 Win 100.00 8 Step 8
41 10 on first dozen 33 Loss 90.00 9 Step 8
42 16 on first dozen 17 Loss 74.00 10 Step 9
43 24 on first dozen 28 Loss 50.00 11 Step 10
44 36 on first dozen 4 Win 122.00 8 Step 11
45 10 on first dozen 19 Loss 112.00 9 Step 8
46 16 on first dozen 4 Win 144.00 8 Step 9
47 10 on first dozen 34 Loss 134.00 9 Step 8
48 16 on first dozen 27 Loss 118.00 10 Step 9
49 24 on first dozen 2 Win 166.00 8 Step 10
50 10 on first dozen 29 Loss 156.00 9 Step 8
51 16 on first dozen 29 Loss 140.00 10 Step 9
52 24 on first dozen 18 Loss 116.00 11 Step 10
53 36 on first dozen 3 Win 188.00 8 Step 11
54 10 on first dozen 0 Loss 178.00 9 Step 8
55 16 on first dozen 13 Loss 162.00 10 Step 9
56 24 on first dozen 2 Win 210.00 8 Step 10
57 10 on first dozen 9 Win 230.00 8 Step 8
58 10 on first dozen 27 Loss 220.00 9 Step 8
59 16 on first dozen 16 Loss 204.00 10 Step 9
60 24 on first dozen 18 Loss 180.00 11 Step 10
61 36 on first dozen 24 Loss 144.00 12 Step 11
62 54 on first dozen 4 Win 252.00 8 Step 12
63 10 on first dozen 16 Loss 242.00 9 Step 8
64 16 on first dozen 7 Win 274.00 8 Step 9
65 10 on first dozen 24 Loss 264.00 9 Step 8
66 16 on first dozen 18 Loss 248.00 10 Step 9
67 24 on first dozen 29 Loss 224.00 11 Step 10
68 36 on first dozen 8 Win 296.00 8 Step 11
69 10 on first dozen 5 Win 316.00 8 Step 8
70 10 on first dozen 34 Loss 306.00 9 Step 8
71 16 on first dozen 12 Win 338.00 8 Step 9
72 10 on first dozen 25 Loss 328.00 9 Step 8
73 16 on first dozen 23 Loss 312.00 10 Step 9
74 24 on first dozen 14 Loss 288.00 11 Step 10
75 36 on first dozen 9 Win 360.00 8 Step 11
76 10 on first dozen 28 Loss 350.00 9 Step 8
77 16 on first dozen 23 Loss 334.00 10 Step 9
78 24 on first dozen 13 Loss 310.00 11 Step 10
79 36 on first dozen 12 Win 382.00 8 Step 11
80 10 on first dozen 26 Loss 372.00 9 Step 8
81 16 on first dozen 19 Loss 356.00 10 Step 9
82 24 on first dozen 13 Loss 332.00 11 Step 10
83 36 on first dozen 00 Loss 296.00 12 Step 11
84 54 on first dozen 31 Loss 242.00 13 Step 12
85 81 on first dozen 6 Win 404.00 8 Step 13
86 10 on first dozen 18 Loss 394.00 9 Step 8
87 16 on first dozen 4 Win 426.00 8 Step 9
88 10 on first dozen 32 Loss 416.00 9 Step 8
89 16 on first dozen 34 Loss 400.00 10 Step 9
90 24 on first dozen 30 Loss 376.00 11 Step 10
91 36 on first dozen 23 Loss 340.00 12 Step 11
92 54 on first dozen 27 Loss 286.00 13 Step 12
93 81 on first dozen 17 Loss 205.00 14 Step 13
94 0 on first dozen 17 Loss 205.00 14 Step 14
95 0 on first dozen 8 Win 205.00 8 Step 14
96 10 on first dozen 26 Loss 195.00 9 Step 8
97 16 on first dozen 29 Loss 179.00 10 Step 9
98 24 on first dozen 28 Loss 155.00 11 Step 10
99 36 on first dozen 00 Loss 119.00 12 Step 11
100 54 on first dozen 22 Loss 65.00 13 Step 12

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/