NetEnt Casinos — Why the Scandinavians Excel at RTP (and how to use that to your advantage)

Hold on — before you pull the lever on “the next big pokie”, two practical things you need right now: a short rule-of-thumb for reading RTP numbers, and a realistic bet-sizing method that keeps variance from eating your session. That’s the useful bit: knowing what a 96% RTP actually means in dollars and how that interacts with volatility will save you grief and make your play smarter.

Here’s the other quick win: NetEnt publishes games with tight, well-documented theoretical RTPs and a long history of independent audits; that means the RTP label is one of the more reliable signposts in the casino lobby. But reliability doesn’t eliminate variance — and novices confuse “good RTP” with “guaranteed wins”. Read on and you’ll get concrete calculations, a comparison table, a short checklist to use at any casino lobby, and real-world mistakes to avoid.

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

What RTP really is (practical, not philosophical)

My gut says: RTP sounds technical, but it’s just a long-run average. Put bluntly: RTP = the percentage of all wagered money a game returns to players over a very large sample. If a NetEnt slot lists 96%, that implies an average return of $96 for every $100 wagered across millions of spins. Simple. But here’s the catch — “very large sample” is the operative phrase. Short sessions can differ wildly.

Practically speaking, convert RTP into expected loss for your session: Expected loss = Total wagered × (1 − RTP). Example: if you spin $1 per spin for 1,000 spins on a 96% RTP game, your expected loss = $1,000 × 0.04 = $40. That’s the long-run drift, not a promise. On the one hand, you could win big on a single spin; on the other hand, you can lose your whole balance quickly due to variance.

Why NetEnt’s Scandinavian approach matters

NetEnt (now part of Evolution) comes from a regulated Scandinavian ecosystem that emphasises transparency and technical rigour. NetEnt’s games typically advertise their theoretical RTP prominently, and many of their flagship titles (Starburst, Gonzo’s Quest, Blood Suckers) have well-known RTPs that are used as benchmarks industry-wide. This transparency makes NetEnt slots a useful study subject for beginners learning RTP mechanics.

On top of that, NetEnt historically submits games for independent testing to labs like iTech Labs and GLI; those audits ensure the RNG performs within statistical expectations. That independent verification is not an absolute shield, but it raises the baseline trust compared with unknown vendors. Still, regulators and audit reports are only part of the story — payout distribution (volatility) and bonus mechanics can reshape the player experience even when RTP is identical.

RTP vs volatility: the real decision-making duo

Short observation: Two 96% RTP slots can feel completely different.

Expand: RTP is the mean, volatility is the spread around that mean. Low-volatility NetEnt titles pay smaller, more frequent wins; high-volatility ones pay rare but larger hits. For bankrolls under A$200, low-to-medium volatility is usually a better fit. For experienced high rollers chasing long-shot jackpots, high volatility can be appropriate — but only with the right stake plan.

Echo (long): If you’re planning to treat RTP as the only metric, you’ll be surprised by session-to-session swings. Instead, read RTP and volatility together: use RTP to measure fairness and volatility to size your bets and session length. A quick formula: safe spin bet = bankroll × (acceptable risk factor) / (expected spins). For example, if you want to ride out 1,000 spins and risk no more than 5% of your bankroll on expected loss, set bet size around (bankroll × 0.05) / (1,000 × (1 − RTP)). It’s crude, but practical for beginners learning to control variance.

Mini-case: what a 96% RTP means at different bet sizes

Example A — low stakes: $0.50 per spin, 2,000 spins. Total wagered = $1,000. Expected loss = $1,000 × 0.04 = $40.

Example B — medium stakes: $2 per spin, 1,000 spins. Total wagered = $2,000. Expected loss = $80.

Example C — high-variance play: $20 per spin, 500 spins. Total wagered = $10,000. Expected loss = $400, but one single hit could erase that and more. The math is identical; the probability distribution of outcomes is not.

Simple comparison table — approaches to verifying RTP and fairness

Approach / Tool Ease Reliability How to use it (practical step)
Provider-declared RTP (NetEnt page / game info) Very easy High (for NetEnt) Check the game info tab in the lobby or developer site; use as baseline for fairness
Independent lab reports (iTech Labs, GLI) Moderate Very high Look for audit certificates on the casino or developer site; treat as verification
In-play statistical sampling (community RTP trackers) Harder Variable Use as anecdotal evidence only; large sample sizes required to be meaningful
Demo mode / long free spins Easy Low for RTP, useful for volatility Play hundreds of demo spins to understand hit frequency and feel

Alright, check this out — if you want a quick way to compare casino lobbies and see NetEnt listings, license details, and demo access side-by-side (handy when you’re checking audit documents or RTPs), you can inspect casino directories and hubs like this one here to get the lobby snapshot and provider list before you deposit.

Quick Checklist — use this at any casino lobby

  • Verify the game’s RTP listed in the game info tab or developer page (NetEnt commonly shows this clearly).
  • Check for an independent audit certificate (iTech Labs / GLI / eCOGRA) on the casino or provider site.
  • Match RTP with volatility: if bankroll & session are small, pick low/medium volatility.
  • Convert RTP into expected loss for your planned session (Total wagered × (1 − RTP)).
  • For bonuses, calculate wagering requirement turnover: WR × (Deposit + Bonus) and compare to expected loss.

Common Mistakes and How to Avoid Them

  • Mistake: Treating RTP as a guarantee. Avoid by: remembering RTP is long-run; set stop-loss levels and session budgets.
  • Mistake: Choosing the highest RTP without checking volatility or bonus restrictions. Avoid by: matching volatility to bankroll and reading bonus terms (game weighting).
  • Mistake: Ignoring third-party audits. Avoid by: looking for lab certificates or reputable licensing info.
  • Mistake: Over-trusting small sample community RTPs. Avoid by: requiring large samples (tens of thousands of spins) before using community stats.
  • Mistake: Letting big bonuses cloud judgement. Avoid by: computing actual net value after wagering requirements.

Mini-FAQ

Is higher RTP always better?

Short answer: usually yes for fairness, but not always for session satisfaction. Expand: Higher RTP reduces the long-run house edge, but volatility controls how often you see wins. A 97% high-volatility slot can still drain a small bankroll quickly. For beginners, pick slightly lower stakes and medium volatility even if RTP is a touch lower.

Can I trust the RTP shown in the casino lobby?

NetEnt’s RTP declarations are generally reliable because of independent testing norms and the developer’s reputation. Still, confirm via audit certificates and read the casino’s terms — some casinos offer adjustable RTP pockets (rare with NetEnt) or provide different RTP settings in different markets.

How do bonuses change the effective RTP?

Bonuses change the math dramatically. A 100% match with a 50× wagering requirement multiplies the required turnover and effectively lowers the value of the bonus. To estimate bonus value, compute the extra expected loss from the enforced turnover and subtract it from the theoretical bonus value.

How many spins do I need before RTP trends show up?

You need very large samples to approach the theoretical RTP. Rule of thumb: thousands to tens of thousands of spins. For personal sessions (hundreds to a few thousand spins) treat RTP as a directional guide and rely on bankroll controls.

18+. Play responsibly. If gambling stops being fun or you feel at risk, seek help — in Australia call 1800 858 858 or visit Gambling Help Online. Casinos require KYC/AML checks; always verify licensing and withdrawal terms before depositing.

Final echoes — practical next steps for a beginner

Here’s what I’d do if I were starting from scratch: first, learn to read the RTP and volatility together. Second, run demo sessions (500–1,000 spins) to gauge hit frequency and emotional tolerance for dry runs. Third, use the simple expected loss formula before any deposit so you aren’t surprised by the drift. Finally, withdraw early and often on winning runs; frequent cash-outs reduce exposure to later verification friction and variance swings.

One honest admission: I once chased a 0.2% RTP improvement across two games and lost focus on volatility; that session taught me more than a dozen theory papers. Numbers matter, but matching them to your real bankroll and temperament matters more.

Sources

  • https://www.netent.com
  • https://www.itechlabs.com
  • https://www.gamblinghelponline.org.au

About the Author

{author_name}, iGaming expert. I’ve worked with online casino platforms and played hundreds of NetEnt sessions over the past decade; I write practical guides that focus on math, psychology, and responsible play for beginners.

Leave a Comment

Your email address will not be published. Required fields are marked *

Scroll to Top