Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'var_array' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'extract_type' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791
Future technologies reshaping the casino house edge — practical guide for players – Lcoy Egypt

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'var_array' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'extract_type' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791
Back to all Post

Future technologies reshaping the casino house edge — practical guide for players


Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'var_array' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'extract_type' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Hold on. If you only want a quick takeaway: new tech can both tighten and widen the house edge, depending on who controls it and how it’s audited. Here’s the thing. Learn to spot which innovations genuinely reduce casino advantage (provably fair systems, transparent RNG audits) and which mostly change perception (VR polish, tokenised loyalty) without improving long‑term odds.

Why this matters right now: small changes in game mechanics or settlement rails can move expected value by several percentage points — big enough to change a player’s win-rate over months. Wait. Read the quick checklist below first if you’re in a hurry; otherwise keep going for numbers, mini-cases and a practical comparison table you can use when evaluating any new site or feature.

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

How technology interacts with the house edge — concise framework

Here’s a short model you can use. The house edge is the product of three levers: game rules (R), payout schedule / RTP (P), and settlement integrity (S). Hold on. Multiply them conceptually: Effective player expectation ≈ RTP × Settlement integrity factor × Behavioural friction factor.

For practical use: if RTP = 96%, settlement integrity = 1.00 (fully audited), and behavioural friction (bonuses, wagering rules, UI nudges) = 0.98, then long-term expected return ≈ 96% × 1.00 × 0.98 ≈ 94.1%. That 1.9 percentage point gap may look tiny, but on $1,000 monthly turnover it’s $19 — over a year it compounds. Here’s the thing.

Key technologies changing the edge (and how they do it)

Blockchain & provably fair: short and sharp — provably fair removes informational asymmetry in many RNG-style games by letting players independently verify seed hashes and outcome derivations. Wait. If the implementation is correct, it reduces the settlement integrity risk to near zero. But implementation matters: a public audit, immutable logs and open-source clients are essential.

AI/ML auditing and anomaly detection: these systems scan vast play logs to detect micro-manipulations (unexpected RTP drift, pattern leaks, or biased RNG sequences). That’s powerful. However, AI can also be weaponised for dynamic margin management (real-time bet weighting, personalised margin tweaks). So the same tool can shrink or widen your odds depending on operator intent and regulation.

Tokenisation of funds & on-chain payments: tokens and crypto rails speed payouts and reduce intermediary fees, which can lower friction and therefore reduce behavioural points of failure (delays, cancelled withdrawals). Hold on. Faster payouts don’t change RTP — they change your effective access to winnings and your psychological tolerance to variance, which indirectly affects how much you chase and how quickly you cash out.

VR/AR and live hybrid gameplay: these improve UX and can introduce new side-bets and mechanics (social jackpots, spatial bonuses). That often increases player engagement and session length; longer sessions amplify house edge impact even if per-spin RTP is unchanged. Here’s the thing — better immersion can hide small edge increases behind entertainment value.

Mini-case examples (practical math)

Case A — Provably fair slot vs standard audited slot. Suppose two slots both advertise 96% RTP. Slot A runs on provably fair code with public seed verification and third-party proof; Slot B is audited annually but opaque. If settlement integrity factor for A = 1.00 and for B = 0.95 (due to suspicious history/late audits), then effective returns: A = 96% × 1.00 = 96%; B = 96% × 0.95 = 91.2%. Over large play, that’s material.

Case B — Dynamic odds using AI. A table game introduces an AI-driven side-bet bonus that pays extra but only for a narrow, machine‑identified player subset. The advertised paytable looks generous, but the AI reduces win frequency for high-profit players. If advertised total return = 98%, real observed return for a specific cohort might be 94% — a hidden house edge introduced via targeting. That stood out to regulators in recent reviews.

Comparison table — technologies and their likely impact on house edge

Technology Primary effect on edge Benefits for players Key risk
Provably fair / blockchain Reduces settlement risk (can lower effective edge) Verifiable outcomes; faster dispute evidence Poor implementation; false claims of on-chain only for payments
AI/ML auditing Can detect manipulation (lowers edge) or enable dynamic margins (raises edge) Faster anomaly detection; better RTP monitoring Opaque models; potential for operator abuse
Tokenised payments / crypto rails No RTP change; reduces payout friction (improves effective returns) Faster withdrawals; lower fees Volatility, poor KYC, and exchange risks
VR / AR / immersive UX No direct RTP change; increases session length (amplifies edge) Better entertainment value, new gameplay Longer play = more house profit; hidden micro-bets
Real-time odds & personalised promos Can lower or raise effective edge depending on fairness Tailored offers; better value if transparent Promotional opacity; discriminatory margins

How to evaluate a platform that claims “new tech” — step-by-step

Hold on. Don’t be swayed by buzzwords. Here’s a short evaluation workflow you can use every time:

  1. Verify licensing and regulator-stamped audits (look up license numbers on the regulator’s site).
  2. Check for independent RNG or GLI/eCOGRA/third-party audit reports and dates.
  3. For provably fair claims, test by verifying sample seeds yourself or using community tools.
  4. Read T&Cs for wagering rules tied to deposits or bonuses — these often create the biggest hidden cost.
  5. Test small deposits first and process a withdrawal to confirm the real-world speed and KYC treatment.

Here’s the thing. If you want a live example of how a modern, Aussie‑facing platform presents these features (UI, crypto rails, and promotional mechanics), visit royal-reels-casino.games — but always cross-check licensing and audit statements before depositing.

Quick checklist — what to look for before you play

  • 18+ compliance and visible responsible gaming tools (deposit limits, self-exclusion).
  • Clear license number and a functioning link to the regulator verification page.
  • Independent audit reports (RNG, payout history) dated within the last 12 months.
  • Transparent wagering rules on deposit-only turnovers (anything >1× is a red flag).
  • Withdrawal history and player feedback from independent forums (not just site testimonials).

Common mistakes and how to avoid them

Here are frequent errors players make and the fixes I use:

  • Misreading bonuses: Mistake — assuming a generous match = value. Fix — calculate required turnover: Wagering requirement × (deposit + bonus) and map to your average bet size.
  • Trusting “fast withdrawals” claims: Mistake — assuming instant processing. Fix — perform a small withdrawal test; time the whole KYC cycle.
  • Ignoring settlement proofs: Mistake — not verifying provably fair claims. Fix — request sample seeds and test logic or use third‑party verifiers.
  • Overlooking AI targeting: Mistake — believing returns are uniform. Fix — track your own session RTP over 1,000+ spins/hands to compare.

Mini-FAQ

Does blockchain reduce the house edge?

Short answer: not directly. Blockchain increases transparency and lowers settlement risk, which improves your effective chance to actually receive winnings, but the RTP built into the game math remains the primary determinant of edge. Wait. If a blockchain implementation also opens source RNG and paytables for inspection, that can materially reduce hidden manipulations.

Can AI be trusted to audit fairness?

AI can spot anomalies far faster than humans, but models can have blind spots or be biased by training data. Always look for a human-audited report that complements AI monitoring; the best setups combine both.

Are faster crypto payouts always safer?

Faster payments reduce operational risk but add exchange and custody risks. Use stablecoins or trusted on/off ramps, and never deposit more than you can afford to lose while the tech matures.

18+. Gamble responsibly. If gambling is affecting you or someone you know, seek help: in Australia contact Gambling Help Online or your local support services. Always confirm licensing and perform a small test transaction before committing significant funds.

Sources

  • https://www.acma.gov.au
  • https://www.gamblingcommission.gov.uk
  • https://www.gaminglabs.com

About the Author

Alex Rowan, iGaming expert. Alex has 10+ years working across product and player safety roles in online gambling, specialising in game mechanics, auditing workflows and player protection. He writes practical guides for players and operators focused on transparency and measurable improvement.

Add Your Comment


Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'var_array' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'extract_type' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'var_array' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'extract_type' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'var_array' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] It seems that you are filtering on a parameter 'extract_type' of the function 'extract', but the parameter does not exists. in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 0 parameter's name: 'array' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 1 parameter's name: 'flags' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791

Warning: [snuffleupagus][0.0.0.0][config][log] - 2 parameter's name: 'prefix' in /home/lcoyegyp/public_html/wp-includes/template.php on line 791