Squish

🏢 Provider: Revolver Gaming
📅 Released: 21.08.2019
🎯 RTP: 95,42%
⚡ Volatility: High
🧩 Paylines: Unknown

Squish

How to Play Squish Slot for Real Money Online


Michael Carter
Michael Carter
Published: April 28, 2025

1. RTP (Return to Player): 95.42%

The Return to Player (RTP) rate of 95.42% indicates that, on average, a player can expect to receive back 95.42 coins for every 100 coins wagered. This means the casino retains a theoretical edge of 4.58 coins. While this is a relatively standard RTP, it's slightly below the industry average (around 96%), positioning Squish as a more high-risk option in terms of expected returns.

2. Paylines: Unknown

The lack of specified paylines suggests that the game may likely employ a "ways to win" mechanic which is often indicative of variable combinations. This feature could increase the frequency of smaller wins or create volatility in payouts; however, without specific information, it's difficult to gauge the potential for maximizing winning combinations.

3. Maximum Bet Scenario:

With the maximum bet set at 200 units, and a maximum win of 25 times the stake, we can calculate the potential maximum payout:

200 * 25 = 5,000

Thus, the maximum win for a single spin at the maximum bet level would be 5,000 units. While this is a decent payout, it is relatively modest compared to the high volatility nature suggested by the game.

4. Minimum Bet Scenario:

For a player who wishes to engage in less risky gameplay, the minimum bet is set at 0.2 units. The maximum theoretical win at this level can be calculated as follows:

0.2 * 25 = 5

This means that with the minimum stake, a player could theoretically win up to 5 units. This, again, is relatively minimal and may serve more as a basis for exploring the game mechanics rather than serious profit potential.

Simple Expected Return Calculation:

Let’s assume a player spins the slot for 1,000 times at a steady 1-unit stake (total wager: 1,000 units). Applying the RTP of 95.42%, the expected return calculation would be:

1,000 * 0.9542 = 954.2 units returned

Thus, the expected loss for this session would be:

Expected loss = 1000 - 954.2 = 45.8 units

Nevertheless, this figure represents a statistical average; it is entirely possible to experience long dry spells or hit significantly larger wins during any single session.

Squish Slot Machine – Screenshots