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

86% win rate based on all 1,997 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
16.00
Net Units
-484.00
Wins / Losses
31 / 76
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 8 Win 508.00 1 Step 1
2 4 on first dozen 28 Loss 504.00 2 Step 1
3 6 on first dozen 11 Win 516.00 1 Step 2
4 4 on first dozen 21 Loss 512.00 2 Step 1
5 6 on first dozen 14 Loss 506.00 3 Step 2
6 9 on first dozen 3 Win 524.00 1 Step 3
7 4 on first dozen 16 Loss 520.00 2 Step 1
8 6 on first dozen 17 Loss 514.00 3 Step 2
9 9 on first dozen 0 Loss 505.00 4 Step 3
10 13 on first dozen 32 Loss 492.00 5 Step 4
11 20 on first dozen 30 Loss 472.00 6 Step 5
12 30 on first dozen 24 Loss 442.00 7 Step 6
13 0 on first dozen 35 Loss 442.00 7 Step 7
14 0 on first dozen 3 Win 442.00 8 Step 7
15 10 on first dozen 25 Loss 432.00 9 Step 8
16 16 on first dozen 24 Loss 416.00 10 Step 9
17 24 on first dozen 6 Win 464.00 8 Step 10
18 10 on first dozen 25 Loss 454.00 9 Step 8
19 16 on first dozen 13 Loss 438.00 10 Step 9
20 24 on first dozen 36 Loss 414.00 11 Step 10
21 36 on first dozen 30 Loss 378.00 12 Step 11
22 54 on first dozen 0 Loss 324.00 13 Step 12
23 81 on first dozen 15 Loss 243.00 14 Step 13
24 0 on first dozen 19 Loss 243.00 14 Step 14
25 0 on first dozen 4 Win 243.00 8 Step 14
26 10 on first dozen 36 Loss 233.00 9 Step 8
27 16 on first dozen 16 Loss 217.00 10 Step 9
28 24 on first dozen 12 Win 265.00 8 Step 10
29 10 on first dozen 10 Win 285.00 8 Step 8
30 10 on first dozen 1 Win 305.00 8 Step 8
31 10 on first dozen 29 Loss 295.00 9 Step 8
32 16 on first dozen 33 Loss 279.00 10 Step 9
33 24 on first dozen 28 Loss 255.00 11 Step 10
34 36 on first dozen 11 Win 327.00 8 Step 11
35 10 on first dozen 14 Loss 317.00 9 Step 8
36 16 on first dozen 13 Loss 301.00 10 Step 9
37 24 on first dozen 29 Loss 277.00 11 Step 10
38 36 on first dozen 28 Loss 241.00 12 Step 11
39 54 on first dozen 15 Loss 187.00 13 Step 12
40 81 on first dozen 20 Loss 106.00 14 Step 13
41 0 on first dozen 34 Loss 106.00 14 Step 14
42 0 on first dozen 22 Loss 106.00 14 Step 14
43 0 on first dozen 34 Loss 106.00 14 Step 14
44 0 on first dozen 36 Loss 106.00 14 Step 14
45 0 on first dozen 18 Loss 106.00 14 Step 14
46 0 on first dozen 20 Loss 106.00 14 Step 14
47 0 on first dozen 15 Loss 106.00 14 Step 14
48 0 on first dozen 2 Win 106.00 8 Step 14
49 10 on first dozen 13 Loss 96.00 9 Step 8
50 16 on first dozen 20 Loss 80.00 10 Step 9
51 24 on first dozen 3 Win 128.00 8 Step 10
52 10 on first dozen 1 Win 148.00 8 Step 8
53 10 on first dozen 3 Win 168.00 8 Step 8
54 10 on first dozen 0 Loss 158.00 9 Step 8
55 16 on first dozen 6 Win 190.00 8 Step 9
56 10 on first dozen 15 Loss 180.00 9 Step 8
57 16 on first dozen 11 Win 212.00 8 Step 9
58 10 on first dozen 8 Win 232.00 8 Step 8
59 10 on first dozen 00 Loss 222.00 9 Step 8
60 16 on first dozen 24 Loss 206.00 10 Step 9
61 24 on first dozen 35 Loss 182.00 11 Step 10
62 36 on first dozen 1 Win 254.00 8 Step 11
63 10 on first dozen 24 Loss 244.00 9 Step 8
64 16 on first dozen 26 Loss 228.00 10 Step 9
65 24 on first dozen 19 Loss 204.00 11 Step 10
66 36 on first dozen 2 Win 276.00 8 Step 11
67 10 on first dozen 11 Win 296.00 8 Step 8
68 10 on first dozen 19 Loss 286.00 9 Step 8
69 16 on first dozen 36 Loss 270.00 10 Step 9
70 24 on first dozen 00 Loss 246.00 11 Step 10
71 36 on first dozen 3 Win 318.00 8 Step 11
72 10 on first dozen 9 Win 338.00 8 Step 8
73 10 on first dozen 5 Win 358.00 8 Step 8
74 10 on first dozen 3 Win 378.00 8 Step 8
75 10 on first dozen 25 Loss 368.00 9 Step 8
76 16 on first dozen 21 Loss 352.00 10 Step 9
77 24 on first dozen 21 Loss 328.00 11 Step 10
78 36 on first dozen 22 Loss 292.00 12 Step 11
79 54 on first dozen 24 Loss 238.00 13 Step 12
80 81 on first dozen 8 Win 400.00 8 Step 13
81 10 on first dozen 2 Win 420.00 8 Step 8
82 10 on first dozen 23 Loss 410.00 9 Step 8
83 16 on first dozen 33 Loss 394.00 10 Step 9
84 24 on first dozen 27 Loss 370.00 11 Step 10
85 36 on first dozen 16 Loss 334.00 12 Step 11
86 54 on first dozen 23 Loss 280.00 13 Step 12
87 81 on first dozen 24 Loss 199.00 14 Step 13
88 0 on first dozen 13 Loss 199.00 14 Step 14
89 0 on first dozen 26 Loss 199.00 14 Step 14
90 0 on first dozen 27 Loss 199.00 14 Step 14
91 0 on first dozen 0 Loss 199.00 14 Step 14
92 0 on first dozen 15 Loss 199.00 14 Step 14
93 0 on first dozen 6 Win 199.00 8 Step 14
94 10 on first dozen 13 Loss 189.00 9 Step 8
95 16 on first dozen 10 Win 221.00 8 Step 9
96 10 on first dozen 21 Loss 211.00 9 Step 8
97 16 on first dozen 2 Win 243.00 8 Step 9
98 10 on first dozen 27 Loss 233.00 9 Step 8
99 16 on first dozen 27 Loss 217.00 10 Step 9
100 24 on first dozen 0 Loss 193.00 11 Step 10
101 36 on first dozen 34 Loss 157.00 12 Step 11
102 54 on first dozen 20 Loss 103.00 13 Step 12
103 81 on first dozen 21 Loss 22.00 14 Step 13
104 0 on first dozen 11 Win 22.00 8 Step 14
105 10 on first dozen 11 Win 42.00 8 Step 8
106 10 on first dozen 31 Loss 32.00 9 Step 8
107 16 on first dozen 24 Loss 16.00 10 Step 9

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/