Le Pharaoh — Hacksaw

The game on paper vs. in reality

Le Pharaoh is a Hacksaw Gaming slot (2024 release) on a 6x5 grid with 19 fixed paylines. On paper, the RTP is 96.18%, volatility is high, and the maximum win is x15000. The mechanics combine free spins and a “hold and win” mode, there is a bonus choice, and there is also a bonus buy—which almost always changes the game’s payout profile and variance compared to regular spins.

Looking at the actual picture, two things diverge from the “storefront” description. First, the advertised x15000 ceiling in slots like this is an extremely rare event and a hard mathematical cap, not a realistic target over a normal sample. In our histories, the largest recorded multiplier was x418.9, and that gap to the marketing number is normal rather than a “failure to reach” it.

Second, in session feel, the stated “high” volatility is not confirmed here: by our estimates it is closer to medium. Meanwhile, the base game between bonuses runs low: RTP between bonuses is around 49.8%. That matters more than any single session’s final result, because the base game determines how quickly stakes disappear during periods without a bonus.

Games with similar behavior

You cannot compare Le Pharaoh directly by the numbers to games from other studios: different providers use different math and different ways of delivering RTP. In this comparison list, all games come from another provider, so it is only correct to speak about the general approach.

Against that background, Le Pharaoh looks typical for Hacksaw: RTP between bonuses is noticeably lower than in the listed slots from another developer. The practical effect is straightforward: on short stretches without bonuses, the game more often fails to “hold” the stake, and trying the game over a small number of spins tends to cost more in base-game losses.

The game’s behavior model

This game clearly shows uneven gaps between bonuses: in some histories bonuses arrive more tightly, while in others there are long gaps between them. The clearest marker is an extreme dry run of up to 892 spins: stretches like that define the overall risk over a longer distance and heavily shape the impression of the same game.

At the same time, the sequence of gaps often forms repeatable “waves.” In 100% of the reviewed histories, we see distances ramping up, with a concrete example of a progression: 18 → 52 → 59 → 54 spins. In some histories there is a “pyramid” pattern of rise → fall, for example: 30 → 56 → 110 → 52 → 38 spins. There is also a clean decline after a long stretch: 469 → 133 → 120 → 10 spins.

Separately, we test the “zigzag” idea—not for distances, but for the sizes of bonus payouts: bigger → smaller → bigger again. Here it is confirmed in 100% of the analyzed histories, with an example payout sequence like this: x105 → x419 → x13 → x50 → x23 → x192.

An important caveat about “readability”: the overall tempo varies strongly from one history to another, which is normal for a cyclical game. So even with repeatable wave shapes, the level of gaps and the in-the-moment RTP can shift in different directions, and you should not expect a single scenario to repeat spin for spin.

The slot model by game windows

The idea is this: the game behaves differently across different play days, and it is easiest to describe this through “windows”—days when, by the end of the day, the game paid back at least what was wagered, and days when, by the end of the day, it took money overall (a net loss). The key point is that a window is defined by the day’s financial result, not by the presence of one big payout.

The calendar rhythm here is uneven. Across 429 days of history, an active window appeared on 8 calendar days, and windows did not arrive evenly: usually the gap between them was about 15 days, while the longest stretched to 177 days. In sequences, active days more often occur as single days, with a maximum of 2 days in a row.

The difference between open and closed windows shows up in two metrics. On open days, the day’s result held around 119% of stakes (usually 115–153%), while on closed days it was around 60% (usually 20–85%). In parallel, RTP between bonuses changes as well: on open days it more often falls in the 47.9–57.1% band, while on closed days it drops significantly lower and can reach 0%.

The value of this lens is that days with similar patterns do in fact recur at different points in the history—each day acts like its own unit of behavior. But this is an observation based on days already played, not a forecast: you cannot identify a window state before you start, and past behavior does not guarantee the future.

The first 8 bonuses

The “first 8 bonuses” idea is not about an average frequency; it is about understanding the opening pattern of a new history: how the game spaces out the first bonus entries, and whether that spacing has a repeatable shape. That is why the first bonuses are compared—starting models are easier to compare across different histories.

In Le Pharaoh, the start is indeed recognizable in shape, even though the points shift. You often see a medium distance of roughly 150–270 spins to the first entry, then one of the next bonuses quite often arrives noticeably earlier (tens of spins), and after that long stretches appear again, which can extend well beyond 400–600 spins.

But in terms of payouts there is no predictability. Among the first bonuses, x100+ multipliers occurred in about 19% of cases. In other words, a bonus by distance tends to appear “sooner or later,” but its size is not fixed in advance: alongside notable multipliers in the first eight, there are regular zeros and very modest results.

The spin tail

The “tail” theory tests something else: if a session ends with a long dry run and then there is a break, after returning the next bonus should arrive within roughly 100–200 spins, and the length of the break should not affect that. The logic is simple: if this happens even after long calendar gaps, then the game state does not “reset” between visits.

Here the confirmation is partial. In large tail episodes, the bonus landed in the 100–200 spins range in 37.5% of cases. The strongest examples look like this: after a dry run of about 810 spins and a break, a bonus arrived after 81 spins; there were also tails of about 400 and 277 spins, after which a bonus arrived after 48 and 39 spins.

The maximum recorded break between sessions is about 306 days, or almost 10 months. With gaps that large, it is especially clear that some tails play out in the same way, but the model is not ironclad and does not trigger every time in this game.

Stake resistance

The stake-resistance theory tests whether the in-the-moment RTP changes after you raise the base stake, comparing the segment before and after the increase within a comparable active phase of the game. If there is no resistance, after the increase you more often see roughly the same RTP level; if resistance exists, the picture shifts noticeably.

In the active phase, resistance showed up in about 75% of stake increases, while neutral cases were about 25%. The direction was mostly negative: in 62% of increases, the in-the-moment RTP worsened, and only in 12% did it improve.

For evaluating the game, this is a negative signal: positive shifts are clearly less common than negative ones. At the same time, the fact of resistance does not mean there is a “ban” on raising the stake; it only records that after an increase the game’s tempo more often changes in a way that is unfavorable to the player.

The zero-out point and the casino tax

The mechanic is basic: the stated RTP means the casino has an edge, and it is taken from turnover—the total amount wagered, not from the deposit. Turnover grows because winnings are usually re-wagered, and on each new loop the edge takes another portion of the money. That is why a meaningful profit in a session is structurally unstable: continuing to play adds turnover, and the mathematical edge gradually takes back what was paid out.

By our measurements, after a noticeable peak—about 82 stakes in profit size—it typically “dissolves” over about 121 stakes of turnover. If you keep the stake constant, that is about 384 spins. At the same time, in 40% of profitable sessions the profit was eventually given back; in the rest, the session ended earlier.

What matters as a universal unit here is turnover in stakes, not spins. In spins, the speed of zeroing out depends heavily on stake size: the higher the stake, the faster turnover accumulates, and the faster the edge works in terms of time played.

One more nuance: in this game, zeroing out more often happens not “along the edge line.” The ratio that compares the speed of zeroing out to what the edge alone would explain is about 0.06. That means profit is more often given back faster than the edge by itself could explain, and a big driver is the drop in in-the-moment RTP.

Cycles, streaks, and peaks

The cycle theory splits the game into two levels. A streak is several bonuses in a row (usually 2–10) that, in total, “add up” toward a line around x100, after which a pullback to low multipliers more often begins. A cycle is one or more such streaks that end with a sharper peak of x200+, after which a new cycle begins.

In Le Pharaoh, based on the recorded examples, a streak averaged about 4 bonuses, and in the assembled cycles it took one streak to reach the final peak. Peaks are present: closing points included x200+ values (for example x200.8 and x287.0), and they act as the boundary between cycles.

At the same time, the key indicator around the x100 line—the pullback after it—is not recorded as a single number in this dataset, so we have to rely on the structure of the chains: after noticeable bonuses, weak multipliers and zeros do in fact appear. And one more fundamental point: the entry point into a cycle is unknown, meaning at the start of a history you can land anywhere within an already-running cycle. So the size of the “first big one” is not a regularity; it remains a random entry.

Spin rhythm

By spins, the game is harsh in the base. A plus-spin—meaning a return at least equal to the stake—arrives about once every 8.5 spins. The typical dry streak of plus-spins is about 8–9 spins in a row, with a maximum reaching 49 spins.

Looking at the pattern itself, most often you get zeros and short small returns below the stake, while full plus results appear rarely and do not like to cluster: after a plus-spin, the next plus happens in only about 11% of cases. This directly supports the low in-the-moment RTP between bonuses and explains why losses accumulate quickly over long stretches without a bonus.

How often bonuses arrive

In this game, what matters more than a “typical gap” is how gaps assemble into sequences. In practice, bonuses often arrive in waves: first several relatively short distances, then a ramp-up into a long stretch, and then a return to short ones.

One clear example of such a wave looks like this: 137 → 72 → 432 → 186 → 148 → 342 → 149 → 601 spins. Within the same history, this creates the sense that the game can stretch out the next entry for a long time, then sharply return to more frequent bonuses—and then drift back into a long distance again.

At the same time, the level of these gaps varies noticeably across histories. In some, long stretches appear more often; in others, most bonuses fit into more moderate distances. But the overall shape—“ramp up and pull back”—repeats regularly.

Spin behavior

Le Pharaoh’s base game has a heavy payout structure. Zero spins are about 70.9%, and spins with a return below the stake add another 17.5%. Together that is 88.4% of spins that do not fully return the stake—meaning the stake burns more often than it is held.

Plus-spins, where the return is at least the stake, are only 11.6%. With that balance, the main hope is that rare successful spins and bonuses will cover long stretches of “burning”.

The same logic shows up in the return structure: about 23.2% of total payback comes from a small share of large spins. That is, winnings are not distributed evenly; they are noticeably concentrated in individual episodes.

Big payouts

The average density of x15+ events is about 0.9 per 100 spins. But this metric is uneven across days: there are days when it drops to 0.0 per 100 spins, and days when it rises to 2.0 per 100 spins. That is exactly the difference between periods when the game pays more actively and periods when it almost never produces big spins.

It is important to connect big events to the in-the-moment RTP. When the density of x15+ drops, RTP between bonuses usually drops as well: in such stretches the game holds the base game worse and more often produces long sequences without meaningful returns.

The maximum recorded bonus multiplier is x418.9. It shows the uneven distribution well: the overall spin pattern can be poor in terms of returns, but a rare big bonus can sharply lift the result of a particular day or session.

Volatility

It is useful to split volatility here into two different cuts.

By payout size—meaning the distribution of wins—this game is closer to medium in our data: the biggest multiplier is x418.9, but most spins and some bonuses deliver modest values, while big episodes are rare.

By distances between bonuses, volatility also looks medium, but with an important caveat: long runs are not a one-off fluke. Distances of 600+ spins occurred in 57% of histories, the typical maximum gap reached 601 spins, and the record reached 892 spins. That means the game regularly allows long stretches without a bonus, and those are what most strongly influence the bankroll requirement in terms of stakes.

Relative to the spec sheet, the stated “high” volatility feels softer in practice by payout size, but in distance the game can still stretch out the wait for a bonus. And it is also worth remembering the day windows: one play day can be noticeably more active than another, so your impression from one short session can easily differ from another session on a different day.

Conclusion

Le Pharaoh is tough in the base game: RTP between bonuses is around 49.8%, and spins that do not fully return the stake add up to 88.4%. At the same time, the game is not random in its gaps: waves in distances repeat often, and in bonus payouts there is a visible zigzag of larger and smaller multipliers.

A strong point is the pronounced unevenness by play day: there are days when the result stays above stakes (usually 115–153%), and there are long closed periods when the day’s result falls to 20–85%. The most practical takeaway from this dataset is that the game runs in windows and can stay closed for a long time: the maximum gap between active days reached 177 days.

An additional negative marker is stake resistance: in the active phase, after raising the stake the in-the-moment RTP more often got worse (62% of cases) and rarely got better (12%). Taken together, this adds up to a game where the final result is decided by rare strong episodes, while long base-game stretches require patience and enough turnover capacity.