Hold on. If you want practical moves you can use tonight, read the next two paragraphs — they contain the core, actionable advice.

Practical takeaway #1: treat each slot session as a series of independent bets governed by RTP and volatility — set a session bankroll (example: $100), divide it into 20 equal spins of $5 or 40 spins of $2.50 depending on volatility; stop when you reach either +50% or -50% of the session bankroll. Practical takeaway #2: use volatility-aware bet-sizing — for a high-volatility machine (big hits but rare), prefer smaller per-spin wagers and longer sessions; for low-volatility slots prefer slightly larger bets but stricter stop-loss rules. Short and useful.

Wow. Now let’s expand: the arrival of immersive VR casinos in Eastern Europe changes player psychology and session dynamics — not the math, but the behavior. VR makes wins feel bigger and losses sting harder, which demands stricter discipline and clearer session rules. Below I’ll walk you through concrete slot strategies you can test immediately, a comparison of play environments (desktop / mobile / VR), two short mini-cases, a checklist you can print, common mistakes to avoid, and a short FAQ. I’ll include responsible-gambling and CA-specific notes where relevant.

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)

Why strategies still matter (and what doesn’t change)

Short fact: RTP and random-number generation are invariant across environments. A 96% RTP slot in a VR lobby still returns roughly $96 per $100 wagered over millions of spins. What changes is session tempo, immersion, and how players size bets under emotional pressure.

Two numbers to always keep in mind when planning play:

  • RTP (return to player): long-run expected return per unit wagered. Use it to estimate expected loss: expected loss = wager × (1 − RTP).
  • Volatility (variance): how clustered wins are. Higher volatility → more frequent long losing streaks and the potential for outsized single spins.

At a glance: always combine RTP and volatility into a simple rule: higher volatility → reduce bet size and increase session count; lower volatility → slightly raise bet within strict limits and prefer shorter sessions.

Comparison: Desktop vs Mobile vs VR — what strategy to use

Environment Player Experience Behavioral Risk Recommended Bet-Sizing When to Use
Desktop Calmer, focused; best stats visibility Low impulse; moderate tilt risk Standard Kelly-lite: 1–2% of bankroll per spin Session planning, research, bonus clearing
Mobile Quick sessions, more interruptions Higher frequency of emotional, short sessions 0.5–1.5% of bankroll per spin; use auto-stop Short breaks, demo play, casual fun
VR (new Eastern Europe launch) Highly immersive; sensory amplification Strong tilt after loss; chasing likelihood up 0.25–1% of bankroll per spin; strict session timers and enforced breaks Special events, social sessions, trying new titles

Two short mini-cases (practical experiments you can replicate)

Case A — The novice test (demo-turnover method). Try this before committing cash: pick a 96% RTP slot in demo mode and run 1,000 simulated spins at $0.10 to feel variance. Track how often you see streaks >10 losses and the average time between hits of >10× the base bet. If the demo shows long cold runs, adjust your real-money stake down.

Case B — The VR stress-test (behavioral checkpoint). If you have access to the new Eastern European VR casino pods during launch events, run two 30-minute sessions: one where you use the same session bankroll but play on desktop, and another in VR. Log: peak emotional reaction (0–10), number of impulse re-buys, percent of time you ignored stop-loss. Expect higher impulsivity in VR; plan accordingly.

Slot strategies you can use tonight (with mini-calculations)

Here are three practical methods — pick one, run it for 10 sessions, and measure results.

1) Fixed-fraction bankroll control (best for beginners)

Rule: Bet between 0.5%–2% of your total bankroll per spin. Example: $200 bankroll → bet size $1–$4. If you hit +50% stop; if −50% stop. This keeps variance manageable and prevents ruin from a few long losses.

2) Volatility-adjusted Kelly-lite (mathematical but conservative)

Start with Kelly fraction f* ≈ (edge / variance). For recreational play approximate edge = RTP − 1. Use a very small fraction: f = 0.5% to 2% of bankroll scaled by volatility. Practically: if RTP is 96% (edge −4%), set f near 0.5% for high volatility, 1.5% for low volatility.

3) Bonus-aware turnover mapping (for promotional play)

Always compute real required turnover before you accept bonuses: turnover = (deposit + bonus) × wagering requirement. Example: 150% match up to €1,500 with WR 30× and deposit €100 → (100 + 150) × 30 = €7,500 turnover. If average stake is €1 and slot RTP is 95%, expected time to clear is long and expected loss ≈ turnover × (1 − RTP) = €375. Always decide if expected loss is worth the bonus value.

Where to try these strategies — a middle-ground recommendation

If you are in CA and want a wide game library plus early VR events and CA-friendly payment rails (Interac/crypto), consider trying platforms that explicitly advertise VR pilots and strong CA support; for example, leon-ca.casino offers a broad testbed for comparing desktop/mobile/VR experiences and CA deposit/withdrawal flows. It’s a natural place to trial the checklist below while staying within CA-regulatory expectations.

Note: I’m not suggesting play beyond your means — use this as a test platform, not a shortcut to wins.

Quick Checklist (print & carry into sessions)

  • Set session bankroll and number of spins before starting.
  • Pick bet-size = fixed % of bankroll (0.5–2%).
  • Choose target outcomes: stop-win (+50%), stop-loss (−50%).
  • Check RTP + volatility in the game info screen.
  • For bonuses: compute turnover and expected loss before claiming.
  • Enable reality checks / time limits (VR: 15–30 min max per session).
  • Have CA KYC documents ready (passport + utility) to avoid withdrawal delays.

Common Mistakes and How to Avoid Them

  • Chasing with bigger bets: Avoid raising bet size after losses; set an automatic max-bet rule and stick to it. Emotion-driven increases are the fastest path to bust.
  • Misreading volatility: Treat “hits” alone as signals. Instead, sample demo runs to understand frequency of big wins.
  • Ignoring bonus math: Don’t accept offers without computing actual turnover and expected loss — many players get surprised by the math.
  • Playing VR without limits: VR amplifies sensory rewards — require enforced breaks and smaller bet fractions in VR.
  • Late KYC: Submit verification documents before attempting large withdrawals; CA players often face delays if KYC is triggered post-win.

Mini-FAQ

Q: Do slot strategies change RTP?

No. RTP is a game-level parameter and unaffected by strategy. Strategies only manage risk and session outcomes, not the long-run house edge.

Q: Is VR “beatable” or just more fun?

VR increases immersion and social engagement but does not change randomness. Use VR for entertainment and social sessions; keep strict bankroll rules when you gamble in VR.

Q: How do I pick slots with better short-term chances?

Look for higher RTP (>96%) and medium volatility if you want steadier sessions. For big-jackpot plays accept higher variance and reduce per-spin stake accordingly.

Q: What CA-specific rules should I remember?

Canadian players should verify deposit/withdrawal methods (Interac, crypto) and be prepared for KYC checks for withdrawals; also use region-appropriate self-exclusion and reality-check tools.

18+ only. Gamble responsibly — set limits, use self-exclusion tools if needed, and seek help if gambling ceases to be fun. For Canadian players consult the Responsible Gambling Council and local provincial resources for support and advice.

Final Echo — what to test first

Alright, check this out — try a 10-session experiment: pick one slot, set a $100 bankroll, use 1% stake per spin, stop-win +50% and stop-loss −50%. Track net result and emotional responses (especially in VR). Repeat the same test on desktop and mobile and compare. This simple A/B will reveal whether VR’s immersion helps or hurts your discipline.

To recap in one line: slot math is fixed — your behavior isn’t. Use strategy to manage the latter. If you want a practical playground with CA-friendly flows and a wide game library (including early VR pilots), consider testing on leon-ca.casino as part of your experiments, but always with limits and pre-submitted KYC to avoid payout friction.

Sources

  • https://www.responsiblegambling.org/ — tools and guidance for safer play.
  • https://www.gamblingcommission.gov.uk/ — RTP, testing and RNG standards overview.
  • https://curacao-egaming.com/ — licensing and industry updates relevant to many international operators.

About the Author

Alex Mercer, iGaming expert. Alex has 10+ years of experience testing online casinos and advising recreational players on strategy, bankroll management, and responsible play. He writes practical guides that focus on risk control and live testing across desktop, mobile, and emerging VR environments.

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