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Free Analyzer Algorithm updated: Feb 2026

Streamer Luck Analyzer 2026

See how lucky any gambling streamer really was. We run 10,000 simulations to show the exact probability of their result.

EV
Developed by Evgeniy Volkov

Session Details

+$5,000 (50.0%)

No analysis yet

Enter session details and click Analyze to see the luck rating

The Math Behind Luck Analysis

Understanding the statistical formulas we use

Expected Value

EV = B - (S × Bet × HE)

B = Bankroll, S = Spins, HE = House Edge

Standard Deviation

SD = Bet × Vol × sqrt(S)

Vol = Volatility multiplier (5-25x)

Z-Score

Z = (Result - EV) / SD

Measures distance from average in SDs

Percentile

P = CDF(Z) × 100

CDF = Cumulative Distribution Function

How the Analyzer Works

1️⃣

Enter Session Data

Input the streamer's bankroll, bet size, slot RTP, volatility, number of spins, and final balance.

2️⃣

Monte Carlo Simulation

We run 10,000 simulated sessions with the same parameters using realistic slot mathematics.

3️⃣

Statistical Analysis

We calculate where the actual result falls in the distribution and compute percentile and probability.

4️⃣

Luck Rating

Based on the percentile, we assign a luck rating from 'Extremely Unlucky' to 'Legendary Luck'.

Pro Tips for Analyzing Streamers

🎬

Watch for Selection Bias

Streamers only post their best sessions. A 'legendary luck' rating on a posted clip is expected - you're seeing their highlight reel, not the 10 losing sessions they didn't share.

📊

Check Multiple Sessions

One session means nothing statistically. True skill or unusual luck only becomes apparent over hundreds of sessions with consistent results.

🧠

Understand Sponsored Play

Many streamers play with casino sponsorship money. Their risk profile is completely different - losses don't affect them the way they would affect you.

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FAQ

Frequently Asked Questions

No. Licensed slots use certified RNG (Random Number Generators) that cannot be influenced. Results are purely random. What streamers CAN influence is which sessions they show you - they'll highlight big wins and skip boring or losing sessions.
Selection bias and volume. Streamers play thousands of hours per year - they WILL hit rare wins eventually. But you only see the highlights. They also often play with sponsored money, so even losses don't hurt them financially. Some platforms offer promotional accounts with boosted RTP for entertainment purposes.
Very accurate for understanding probability. We run 10,000 simulations using industry-standard variance models. However, exact RTP and volatility values vary by slot and aren't always publicly disclosed, so results are estimates based on typical slot characteristics.
By definition, 50% of sessions will be 'below average' and 50% 'above average'. Anything between the 30th and 70th percentile is statistically normal. Results above the 90th or below the 10th percentile are genuinely notable.
Absolutely not. Streamers often bet amounts that would be financially irresponsible for most people. They're playing for entertainment and content, often with sponsored funds. Your bankroll management should be based on your personal financial situation, not entertainment content.
10,000 simulations provide a statistically robust sample size with a margin of error under 1%. More simulations would increase accuracy marginally but slow down the analysis. This balance gives reliable results in seconds.
The Z-score measures how many standard deviations the result is from the mean. A Z-score of +2 means the result is 2 standard deviations above average. In gambling, anything above +1.5 or below -1.5 indicates notable luck or misfortune.

Understanding Streamer Gambling Results

Casino streamers like Roshtein, xQc, and Trainwreck often showcase massive wins that seem impossible to regular players. This tool helps you understand the mathematics behind these results and see whether they're statistically extraordinary or within normal variance.

Using Monte Carlo simulation - the same technique used by casinos and financial institutions - we run 10,000 virtual sessions with the same parameters as the streamer. This creates a probability distribution showing all possible outcomes, and we can see exactly where the streamer's result falls.

Remember: even a 'legendary luck' result will happen 1% of the time by pure chance. With thousands of streamers playing thousands of sessions, someone will always hit these extreme outcomes. That's just how statistics work.

Sorumlu Kumar

Kumar risk içerir ve sorumlu bir şekilde yapılmalıdır. Asla kaybetmeyi göze alabileceğinizden fazlasını bahse koymayın. Kumarın hayatınızı olumsuz etkilediğini hissediyorsanız, lütfen yardım alın. Kaynaklar: GamCare (UK), Gambling Therapy. Unutmayın: uzun vadede ev her zaman avantajlıdır.

Yazan

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Evgeniy Volkov

Evgeny Volkov

Doğrulanmış Uzman
Matematik ve Yazılım Mühendisi, iGaming Uzmanı

Oyun endüstrisi için 10 yılı aşkın yazılım geliştirme deneyimi. Matematik alanında ileri derece. Olasılık analizi, RNG algoritmaları ve matematiksel kumar modelleri konusunda uzmanlaşmış.

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