Craziest Casino Wins in History — What the Software Providers Really Did

Wow! Some of the headline casino wins read like lottery scripts — millions paid out in minutes, strangers becoming instant legends.
Hold on: before you think “easy money”, there are patterns here that actually teach you how game engines, RTP, and volatility combine to hand someone an absurd payday.
At first glance a $17.8m slot spin looks like pure luck; then you realise the same spin came from a high-volatility engine with built-in progressive mechanics, seeded jackpots, and game-weighted bonus triggers — the kind of technical recipe that makes the improbable happen.
This piece gives you practical, clear takeaways: how providers influence those mega-hits, which mechanics matter most, and a quick checklist so beginner players avoid being dazzled into bad choices.

Short benefit first: if you want to spot the slots (or tables) that produce headline wins — without buying the fantasy — focus on three things: volatility, jackpot architecture (fixed vs progressive vs pooled network), and documented RTP combined with play patterns.
Here’s the immediate advantage: with those three data points you can estimate the realistic frequency of big wins and plan bankroll tests (small samples) before staking serious money.
Longer view: I’ll walk through famous wins, explain how specific providers’ tech made them possible, and give you mini-methods to test a game before committing — including how to run a simple expected-turnover check for bonus wagering.

![image](data:image/webp;base64,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)

The anatomy of a headline win — short story, long lesson

Here’s the thing. Big wins are not magic—they’re outcomes of designed systems.
Two classic cases set the tone: the multi-million Megaways jackpot spins (provider: Big-studio X) and the huge progressive network hits tied to pooled jackpots (provider: ProgressiveNet/Y).
Example: a player hit a €17.8m progressive via a pooled network in 2019. That network pooled stakes across international sites and contributed tiny fractions of every spin to the jackpot pool — meaning the prize grew until it belted out.
On the one hand, a single spin triggered the top prize; on the other hand, thousands of players had funded that outcome over months.

System-level lesson: when a provider runs wide progressive pools across many brands, expect rarer but far larger payouts.
If you want a practical rule: pooled network progressives are the most likely route to multi-million headlines; high-volatility standalone games are the second. Low-volatility RTP-optimised titles generate steady returns but rarely headline.
To test this: open the game’s paytable, check max win multiplier (e.g., 10,000×), read the RTP, and look for progressive wording like “linked jackpot” or “network jackpot”. That signals pooled contributions rather than isolated machine maths.

Provider mechanics that make wins explode

Hold on — mechanics matter more than luck in the long run.
Two mechanics to watch: forced-bonus modes and multiplier stacks. Forced-bonus modes are rare but can be seeded by the provider’s algorithm to trigger once in a large sample, creating a curated payout wave. Multiplier stacks compound a base win into astronomical sums when the math aligns.
On top of those are jackpot structures: fixed, local progressive, and network/progressive pools. Each has a different risk profile for the player and cash-flow implications for the operator.

Provider certification is a major trust signal. Big providers (Evolution, NetEnt, Microgaming, Pragmatic Play) have third-party audits and public RTP baselines. That doesn’t mean every game will pay big — it just means the RNG is externally certified to deliver statistical expectations over time.
But note this: even certified RNGs produce extreme variance — a certified 96% RTP title can go dozens of sessions with net losses for most players before a big swing. Know the difference between algorithm integrity and payout timing.

Mini-case: How a high-volatility game produced a life-changing win

Quick example: player A plays a 96.5% RTP slot with 10,000× max-win potential and high hit-size variance. After a month of small losses they hit a 5,432× spin and cash out a life-changing sum.
Mechanics breakdown: high multiplier symbols, free-spin retriggers, and a bonus round that multiplies cumulative retriggers by active multipliers. Provider design intentionally makes the bonus infrequent but potentially massive — the design choice that produces the headlines.
For you: simulate small test runs (10–50 spins) with micro-bets to observe volatility and bonus frequency. If bonus triggers are vanishingly rare, expect long losing runs and bankroll tilt risks.

Comparison Table — Which provider features lean toward huge wins?

Provider Type / Feature Typical RTP Range Volatility Big-Win Mechanics Headline Frequency
Major studios (e.g., Microgaming, NetEnt) 94–97% Low–Medium Bonus rounds, moderate multipliers Quarterly large wins
Modern high-volatility indie studios 92–96% High Huge multipliers, retriggers Occasional big hits
Progressive network providers Variable (base game RTP often 88–96%) Varies Linked jackpots, pooled contributions Rare but massive
Provably fair / crypto-native providers Transparent RTP if disclosed Often high Hash-verified rounds, small but verifiable big wins Frequent small-to-medium wins

Where players go wrong — and how providers can (and do) prevent abuse

To be honest, a large chunk of reckless play comes from misunderstanding volatility and bonus maths.
A common blind spot: confusing RTP with short-term certainty. RTP is a long-run expectation, not a predictor for any session.
Another misstep: chasing network progressives assuming any spin will win it. That’s like assuming you’ll draw the ace from a shuffled deck on the next card.

Provider-side safeguards: most reputable software includes session limits and RTP stabilisation across jurisdictions to avoid pattern exploitation. They also subject games to independent testing labs (e.g., eCOGRA, iTech Labs, GLI). If a provider shifts win distribution artificially, audits catch it — or should. Gamblers’ best defence is aligning playstyle to game design: small bets for low-volatility, occasional shoots on high-volatility with a small, precommitted stake.

Practical test: 3-step micro-method to assess a slot before real stakes

Short checklist first: 1) Check RTP and max win multiplier; 2) Run 50 micro-bets to profile bonus frequency; 3) Track variance (hits vs. losses) and adjust bet sizing.
Expand: Use coin-sized bets (e.g., AUD $0.10) for 50 spins. Record number and type of bonus triggers and any high multipliers. If bonus hits are zero in 50 spins on a supposed “frequent bonus” game, treat the game as high volatility.
Echo: over time you’ll build an informal database. That matters because a provider’s marketing can label a game “volatile” while the practical distribution may be more forgiving or harsher.

Where to try games and why licensing plus platform matters

Hold on — platform choice changes everything. A site that aggregates many providers (SOFTSWISS-powered lobbies, for instance) gives you breadth but also mixes volatility profiles. A reputable platform will show provider names, RTP, and licensing info.
If you want to test linked networks or big libraries quickly, a site with transparent filters and clear bonus terms is essential — it reduces accidental rule-breaks (like using excluded deposit methods). For a familiar, full-featured lobby that lists providers and shows promos, see the official site for examples of modern game lobbies and provider mixes.
Keep this in the middle of your plan: verify licensing and check the operator’s KYC/AML practices before loading funds. In Australia, that also means understanding ACMA blocks and the limits of overseas licensing.

Quick Checklist — before you chase a headline win

  • Confirm the game’s RTP and max-win multiplier from the provider paytable.
  • Run 50 micro-bets to observe bonus frequency and volatility.
  • Check if the jackpot is local or networked (networked = bigger, rarer).
  • Verify the casino/platform license and independent testing seals.
  • Set a strict stake cap for high-volatility games and accept potential long losing runs.
  • Complete KYC early to avoid payout friction on large wins.

Common Mistakes and How to Avoid Them

  • Mistake: Betting bigger because “I’m due”.
    Fix: Use a stake plan tied to bankroll % (1–2% rule) and accept variance.
  • Mistake: Ignoring bonus terms (crypto/e-wallet exclusions).
    Fix: Read the T&Cs; deposit with eligible methods if chasing bonuses.
  • Mistake: Not verifying provider audits.
    Fix: Look for GLI, iTech, or eCOGRA seals and linked reports.
  • Mistake: Delaying KYC until after a big win.
    Fix: Verify upfront — it smooths withdrawals and avoids hold-ups.

Mini-FAQ (3–5 questions)

Q: Can you predict which spin will hit a jackpot?

A: No. RNGs ensure unpredictability. You can only estimate frequency and expected value over many spins by studying volatility and jackpot architecture. Avoid “systems” promising exact timing.

Q: Do providers ever rig wins for drama?

A: Reputable providers undergo third-party audits that make systemic rigging detectable. That said, operators can create user friction (KYC delays) after big wins; verify platform reputation and read community threads for patterns before playing large sums.

Q: Is it better to chase pooled network progressives or high-volatility standalone games?

A: Both can deliver big wins. Network progressives yield rarer but massive jackpots funded by many players; high-volatility standalones have higher per-spin volatility and occasional large multipliers. Choose based on bankroll and risk tolerance.

Q: How important is KYC?

A: Crucial. Complete identity and payment verifications before you win. Delaying KYC is the single biggest operational complaint after large payouts (delays, repeated document requests). Do it proactively.

Responsible gambling: 18+. Set deposit and session limits; use self-exclusion if needed. If you’re in Australia and need help, contact Lifeline (13 11 14) or visit gamblersanonymous.org.au. Remember: play only with money you can afford to lose.

Sources

  • https://www.acma.gov.au
  • https://www.iteclabs.com
  • https://www.online-gambling-regulator.cw

About the Author

Alex Mercer, iGaming expert. Alex has spent over a decade testing casino titles, analysing provider mechanics, and advising players on volatility-aware bankroll management. He writes to make gambling safer and smarter for beginners while explaining the tech behind the headlines.

Add a Comment

Your email address will not be published.

All Categories

Get Funded

SIMPLE & EFFECTIVE
Your network of friends and family are ready to help you get started.