Top machines of the month by average win per session
Top machines of the month by average win per session
What exactly we measure
The average session result (SRS, net) is the bankroll delta for one session in units of bet, taking into account all expenses (including ante and bonus purchase) and all winnings.
Formally:
Additionally, we consider:
Session Boundaries and Standards
Start: First paid spin (or bonus purchase).
Stop: quitting the game, 10 + minutes of inactivity or reaching stop loss/stop profit.
Length: we analyze sessions of 80-300 spins (individual baskets: 80-150, 150-220, 220-300).
Bet: segment by 0 ranges. 1–0. 5, 0. 5–1, 1–2 AUD.
Selection method of "tops" of the month
Period: current calendar month (AU).
Data quality threshold:
Normalization:
We bring each SRS to the equivalent of 150 spins through NP100:
Baseline Metrics and Thresholds
SRSₑₚₛ150 (in rates): the main ranking parameter.
NP100: should be better than the median of the category in the same range of rates.
p75\_ SRS − p25\_ SRS: the narrower (with ≥ zero SRS), the more stable the profile.
σ\_ SRS: should not "fly away" - otherwise we see the "lottery."
CBC (Cost-to-Bonus, in bets): The median "price" of a natural entry into the bonus.
BEF (Bonus Entry Frequency): 100 spin bonus entries (no buy).
HR (Hit Rate): The frequency of winning spins in the base.
BS (Bankroll Smoothness): "smoothness" of the curve per 100 spins.
ASI (Average Session Index)
We translate everything into percentiles by month and aggregate:
Logic: priority - real average result on a comparable length, then - stability and availability of the bonus.
Why some titles give a better average
1. Readable progression to bonus: scales/collections reduce the "dry" segments → NP100 grows.
2. Respin mechanics (Hold & Win/analogue): more often they end with series of payments → p75\_ SRS above.
3. Cascades + multipliers: frequent mini-events smooth out the trajectory without "burning" the bet.
4. Balanced HR bases: small but regular winnings support BS and reduce σ\_ SRS.
5. Fair bonus price: CBC is not "pulled up" relative to buy × - less "drainage" from hunting for features.
How to build a section showcase
For each slot, show a compact card:
Checklist for player (2 minutes before start)
Look at the SRSₑₚₛ150, not the "beautiful drifts."
NP100 ≥ medians in your betting range.
σ\_ SRS and quartile range are not a "red zone."
BEFs/CBCs are adequate: the bonus is achievable "in kind," buy is no more expensive than CBC.
Bankroll covers ≥200× rates (for moderately high variances - 300 ×).
Game speed: 18-25 spin/min, packs of cars 25-50 with stop rules.
Editorial checklist (to keep the rating honest)
Separate ratings of 0. 1–0. 5 / 0. 5–1 / 1–2 AUD.
Three baskets of length: 80-150 / 150-220 / 220-300 spins.
Trim 0. 5% SRS tails, exclude promotional sessions.
Show the confidence indicator (low/medium/high confidence) by the amount of title data.
The update is weekly, but the "top of the month" is fixed at the end of the period.
Analysis of buy bonuses in the context of the average result
Green zone: buy × ≤ CBC and bonus with modifiers (persistent/multi/anloki) - the average SRS for a basket of buy sessions is no worse than a natural game.
Yellow zone: buy × ≈ CBC, bonus "flat" - SRS is often worse due to variance.
Red zone: buy ×> CBC, bonus without boosters - average SRS degrades, ASI drops.
Typical distortions and how to extinguish them
Jackpot bursts: Rare Grand can artificially raise SRS. Solution: tail trimming, separate accounting of jackpot sessions.
Small samples: the "top" of 200-300 sessions is not reliable. Solution: threshold ≥5 000 sessions/title.
Ante-bet: BEF growth due to surcharge may worsen SRS. Solution: analysis with/without ante separately.
Change of face value: when switching rates in a session - we split into subperiods, normalize.
Practice under different bankrolls (AU)
20-50 AUD: Bid 0. 1–0. 2 AUD, looking for titles with NP100 close to zero and narrow quartiles; target - length and σ control.
50–100 AUD: 0. 2–0. 5 AUD, we allow moderately high dispersion, but CBC is not higher than average.
100–200 AUD: 0. 5-1 AUD, cascades and H&W with an honest bonus price will do, watch BS.
200 + AUD: 1-2 AUD, more "sharp" mathematicians are permissible, but only at NP100 ≥ median.
Mini-FAQ
Why can the "average gain" be negative? Due to the mathematical advantage of the casino (RTP <100%). We rank by best average relative to market and month.
How many spins to do? For basket comparability - 150-220; if the game is "heavy" in bonus - plan 200-300.
Where is RTP? High RTP is useful, but event distribution (BEF/CBC/HR) has a stronger effect on actual SRS in the monthly window.
Conclusion
The top "in terms of average winnings per session" is not about single drifts, but about titles where SRSₑₚₛ150 and NP100 are steadily better than the median, while σ\_ SRS are controlled, CBC/BEF are balanced, and buy is not more expensive than natural entry. Use ASI and key-tag cards - and the Hottest Pokies of the Month (AU) section will rank games by actual session efficiency rather than noise.
What exactly we measure
The average session result (SRS, net) is the bankroll delta for one session in units of bet, taking into account all expenses (including ante and bonus purchase) and all winnings.
Formally:
- SRS = (Σ wins − bet Σ − buy price )/bet\_ per\_ spin.
- Why in rates: it is so correct to compare different denominations and limits.
Additionally, we consider:
- NP100 (Net per 100 spins): average net result per 100 spins, helps to compare different session lengths.
- p75\_ SRS/p25\_ SRS: robustness of the result (quartiles).
- σ\_ SRS: scatter of results (profile risk).
💡Important: at RTP <100%, the expected SRS over a long distance is negative. Our top is looking for titles where the actual average (per month in the AU market) is better than the median of the category and shows the best dynamics under comparable conditions.
Session Boundaries and Standards
Start: First paid spin (or bonus purchase).
Stop: quitting the game, 10 + minutes of inactivity or reaching stop loss/stop profit.
Length: we analyze sessions of 80-300 spins (individual baskets: 80-150, 150-220, 220-300).
Bet: segment by 0 ranges. 1–0. 5, 0. 5–1, 1–2 AUD.
Selection method of "tops" of the month
Period: current calendar month (AU).
Data quality threshold:
- ≥1 000 unique players per title, ≥5 000 sessions (in the selected betting range).
- Exclude sessions <20 spins and top/bottom 0. 5% by SRS (anti-outliers).
- Remove promo influences: free spins/wager-free sessions are analyzed separately and are not included in the main rating.
- For buy-bonuses: we take into account the full cost of buy in expenses; we compare inside the "baskets" in length.
Normalization:
We bring each SRS to the equivalent of 150 spins through NP100:
- SRSₑₚₛ150 = NP100 × 1. 5.
- We weigh the titles by the number of sessions in the basket (but with a ceiling of weight so that traffic monomonstrators do not dominate).
Baseline Metrics and Thresholds
SRSₑₚₛ150 (in rates): the main ranking parameter.
NP100: should be better than the median of the category in the same range of rates.
p75\_ SRS − p25\_ SRS: the narrower (with ≥ zero SRS), the more stable the profile.
σ\_ SRS: should not "fly away" - otherwise we see the "lottery."
CBC (Cost-to-Bonus, in bets): The median "price" of a natural entry into the bonus.
BEF (Bonus Entry Frequency): 100 spin bonus entries (no buy).
HR (Hit Rate): The frequency of winning spins in the base.
BS (Bankroll Smoothness): "smoothness" of the curve per 100 spins.
ASI (Average Session Index)
We translate everything into percentiles by month and aggregate:
- ASI = 0. 45·SRSₑₚₛ150 + 0. 20·NP100 + 0. 15·(−σ\_SRS) + 0. 10·p75\_SRS + 0. 05·BEF + 0. 03·HR + 0. 02·BS
Logic: priority - real average result on a comparable length, then - stability and availability of the bonus.
Why some titles give a better average
1. Readable progression to bonus: scales/collections reduce the "dry" segments → NP100 grows.
2. Respin mechanics (Hold & Win/analogue): more often they end with series of payments → p75\_ SRS above.
3. Cascades + multipliers: frequent mini-events smooth out the trajectory without "burning" the bet.
4. Balanced HR bases: small but regular winnings support BS and reduce σ\_ SRS.
5. Fair bonus price: CBC is not "pulled up" relative to buy × - less "drainage" from hunting for features.
How to build a section showcase
For each slot, show a compact card:
- ASI (percentile by month) and SRSₑₚₛ150 (in rates).
- NP100 and σ\_ SRS (stability/risk icons).
- BEF/CBC/HR - short tags.
- Recomend. bankroll: 200-350 × rates (according to the title dispersion profile).
- Note: does ante affect whether there is buy and its price (×).
Checklist for player (2 minutes before start)
Look at the SRSₑₚₛ150, not the "beautiful drifts."
NP100 ≥ medians in your betting range.
σ\_ SRS and quartile range are not a "red zone."
BEFs/CBCs are adequate: the bonus is achievable "in kind," buy is no more expensive than CBC.
Bankroll covers ≥200× rates (for moderately high variances - 300 ×).
Game speed: 18-25 spin/min, packs of cars 25-50 with stop rules.
Editorial checklist (to keep the rating honest)
Separate ratings of 0. 1–0. 5 / 0. 5–1 / 1–2 AUD.
Three baskets of length: 80-150 / 150-220 / 220-300 spins.
Trim 0. 5% SRS tails, exclude promotional sessions.
Show the confidence indicator (low/medium/high confidence) by the amount of title data.
The update is weekly, but the "top of the month" is fixed at the end of the period.
Analysis of buy bonuses in the context of the average result
Green zone: buy × ≤ CBC and bonus with modifiers (persistent/multi/anloki) - the average SRS for a basket of buy sessions is no worse than a natural game.
Yellow zone: buy × ≈ CBC, bonus "flat" - SRS is often worse due to variance.
Red zone: buy ×> CBC, bonus without boosters - average SRS degrades, ASI drops.
Typical distortions and how to extinguish them
Jackpot bursts: Rare Grand can artificially raise SRS. Solution: tail trimming, separate accounting of jackpot sessions.
Small samples: the "top" of 200-300 sessions is not reliable. Solution: threshold ≥5 000 sessions/title.
Ante-bet: BEF growth due to surcharge may worsen SRS. Solution: analysis with/without ante separately.
Change of face value: when switching rates in a session - we split into subperiods, normalize.
Practice under different bankrolls (AU)
20-50 AUD: Bid 0. 1–0. 2 AUD, looking for titles with NP100 close to zero and narrow quartiles; target - length and σ control.
50–100 AUD: 0. 2–0. 5 AUD, we allow moderately high dispersion, but CBC is not higher than average.
100–200 AUD: 0. 5-1 AUD, cascades and H&W with an honest bonus price will do, watch BS.
200 + AUD: 1-2 AUD, more "sharp" mathematicians are permissible, but only at NP100 ≥ median.
Mini-FAQ
Why can the "average gain" be negative? Due to the mathematical advantage of the casino (RTP <100%). We rank by best average relative to market and month.
How many spins to do? For basket comparability - 150-220; if the game is "heavy" in bonus - plan 200-300.
Where is RTP? High RTP is useful, but event distribution (BEF/CBC/HR) has a stronger effect on actual SRS in the monthly window.
Conclusion
The top "in terms of average winnings per session" is not about single drifts, but about titles where SRSₑₚₛ150 and NP100 are steadily better than the median, while σ\_ SRS are controlled, CBC/BEF are balanced, and buy is not more expensive than natural entry. Use ASI and key-tag cards - and the Hottest Pokies of the Month (AU) section will rank games by actual session efficiency rather than noise.
