Dead Or Alive 2

We test every slot on two similar welcome bonuses to see how they perform under real wagering conditions. Dead Or Alive 2 by NetEnt was run through 200k+ simulated playthroughs using a standard setup: 100% match on a $100 deposit, 40x wager requirement, and a fixed stake per spin. This approach lets us measure what happens across all attempts and isolate results from wins only, so you get the full picture.

The first bonus setup delivered an expected value of $95, meaning on average you'd finish with that profit after completing the wager. Your return on total wagered funds came to 95.93%. Here's the trade-off: only 3.48% of attempts reached completion, which is a low finish rate. When the bonus did complete, average winnings across all runs totaled $195. In successful runs only, winners averaged $5 635, showing a wide gap between "all attempts" (most fail early) and "successful attempts" (the ones that made it).

The second bonus altered the wager to 30x, keeping the $100 deposit and 100% match. Expected value here sat at $68 with an ROI of 68.77%, about $27 lower than the first setup. The completion rate dropped further to 2.27%, meaning fewer attempts succeeded. When wins did land, the average climbed to $7 434 per successful run. By lowering the wager requirement, you trade slightly worse odds and fewer completions for higher payouts when you do win, though the first bonus edges ahead on raw expected value.

Dead Or Alive 2 shows modest completion rates on both setups, which reflects its volatility rather than poor bonus performance. The slot demands patience: most bonus attempts won't clear the wager, but those that do can deliver substantial returns. If you prefer higher completion odds, neither setup will feel forgiving. If you're willing to accept low finish rates for the chance at bigger wins when it hits, the second bonus (30x wager) rewards you more per successful completion, while the first bonus (40x wager) offers better expected value overall. Figures derive from simulated data and serve for statistical evaluation.