Calculation models: win-based, wager-based, multiplier

The points system determines the "character" of the tournament: who it encourages, how honestly distributes the chances and how it affects the economy. Three basic models are used in slot tournaments:

1. Win-based - points depend on the absolute win.

2. Wager-based - points depend on the volume of bets (wager).

3. Multiplier-based - points depend on relative luck: 'Win/Bet' ratio (multiplier).

No model changes RTP/game outcomes. They only aggregate events into a metric by which players are compared. Below is how to select and configure.

1) Win-based

Essence

Rewards large absolute winnings. Well "sells" dramatic moments (jackpots, big wines).

Basic formulas

Linear: 'Score = k Win'

Smoothed: 'Score = k log2 (Win + 1)' (softens extremes)

With cap: 'Score = min (k Win, Cap_per_spin)'

Examples

Bet 2, win 40 → at 'k = 1': 'Score = 40'.

Bet 2, win 400 → 'Score = 400' (or less if Cap is valid).

Pluses

Simple and straightforward.

Gives "wow" moments and stories for marketing.

Downsides/risks

Pay-to-win: indirectly encourages high rates (big win more often with big bet).

High dispersion, toxicity in the "tail."

Strong dependence on slot volatility.

When to apply

One-off events with an emphasis on "big hits."

In divisions with strict normalization at the rate and caps.

Mandatory fuses

Normalization: 'Score = k log2 (Win + 1)'

Cap points per spin/day.

Cep attempts (best N standings).

Division by average beta.

2) Wager-based (by rate/volume)

Essence

Points are scored for the volume of bets, regardless of the outcome. Encourages "grind" and long sessions.

Basic formulas

Linear: 'Score = k Bet'

Cumulative: 'Score _ total = k Sum (Bet_i)'

Soft bound: 'Score = k log2 (Sum (Bet_i) + 1)'

Examples

100 spins of 1 → 'Sum (Bet) = 100' → 'Score = 100k'.

20 spins of 5 → 'Sum (Bet) = 100' → the same score.

Pluses

Predictability, low variance of sensations.

Managed economy: it is easy to plan for an average speed.

Downsides/risks

Pay-to-win/Pay-to-grind: advantage for those who bet/play more.

Weak "magic of the moment," less emotional highlights.

When to apply

Internal loyalty marathons, battle pass-progression, "quiet" background event.

Never use alone in public tournaments without normalization/cap.

Mandatory fuses

Hard day caps of glasses.

Bonus for the variety of providers so that there is no cycling of one slot.

Divisions by MMR/mid beta.

Responsible game: points only within the limits.

3) Multiplier-based (Win/Bet multiplier)

Essence

Compares relative luck: The higher the 'Win/Bet' ratio, the higher the score, regardless of the absolute bet.

Basic formulas

Log normalization (recommended):

`Score = round(100 log2(Win / Bet + 1))`
Alternative: percentile/rank of the result among all period spins.

Examples

Bet=2, Win=40 → `Win/Bet=20` → `Score≈ round(100 log2(21)) ≈ 439`.

Bet=5, Win=40 → `Win/Bet=8` → `Score≈ round(100 log2(9)) ≈ 317`.

Pluses

Anti-pay-to-win: The odds are aligned between high-rollers and midcore.

Good "game drive" and a sense of justice.

Easily combined with "sprints" and "best N."

Downsides/risks

Requires clarification in UI ("counting by multiplier").

We need caps against jackpot extremes (often enough log curve).

When to apply

Public tournaments "by default": sprints, weekly marathons, seasonal ratings.

Team/clan events with Top-M contributions.

Mandatory fuses

Offset of the best N attempts/day (for example, N = 20).

Cap points per spin (optional if there are many jackpots).

Elimination/demotion of points for bonus funds.

4) Model comparison (short)

Criterion	Win-based	Wager-based	Multiplier
Fairness between bets	Low without normalization	Low	High
"Wow" moments	Very high	Low	Highly
Pay-to-win risk	High	High	Low
Ease of explanation	High	High	Average
Control of the economy	Average	High	High
Best formats	One-off shows/jackpot festivals	Background progression	Sprints/weeks/seasons

5) Bonus funds, freespins, jackpots

Bonus funds: 'Score _ bonus = coef_bonus BaseScore', where 'coef _ bonus ∈ [0; 0. 5] 'or' 0' (exclude).

Frispins as a prize: only count if it's pre-spelled out in T&C; better with a reduction factor.

Jackpots: log normalization is usually enough; if necessary - 'Cap _ per _ spin' (for example, 700 points/spin).

6) Default anti-abuse and RG

Best N attempts instead of the sum of all (removes the "grind race").

Variety of content: fixed points for the first 'M' unique providers/day (e.g. 'M = 3', 'B = 50').

Cooldown/quotas for repeating the same slot.

Event deduplication (UUID), behavioral detection, anti-bot in the final minutes of sprints.

RG: Points are only awarded within voluntary limits; soft participation caps/day and break reminders.

7) UX-explanations (so that there are no questions)

In the short description of the tournament: what model and how it is considered (1-2 lines).

In extended rules: formula + examples + tie-breaks.

Micro-feedback: "+ 40 points per x3," "2 out of 20 attempts left," "your best multiplier today is x18."

Localization of timers and deadlines; availability (contrast, large numbers, voicing of indicators).

8) Model quality metrics

Fairness: Correlation of points with bet (must be weak in public tournaments), variance of points by quintiles.

Playability: average number of attempts scored/player/day, percentage of players with ≥1 spin scored.

Economy: CPE, share of return of awards (target corridor 0. 2–0. 8% GGR of the involved cohort), ARPDAU/ARPPU.

Retention: D7/D30, Stickiness (DAU/MAU), LTV-uplift participant vs control.

Quality of experience: complaints/10k, abandoned scripts, claim-rate ≤72ch.

9) Out-of-the-box rule templates

Template A - Multiplier + Best N (recommended by default)

Spin points: 'Score = round (100 log2 (Win/Bet + 1))'.

Offset: 'N = 20' best spins/day.

Diversity Bonus: '+ 50' for first 'M = 3' unique providers/day.

Bonus funds: 'coef _ bonus = 0' (not taken into account).

Tiebreaker: 1) early achievement; 2) greater diversity; 3) deterministic draw (seed).

Template B - Win-based with protection

Очки: `Score = k log2(Win + 1)`, `Cap_per_spin = 700`.

Offset: 'N = 15' best spins/day; divisions by average beta (S/M/L).

Bonus funds: 'coef _ bonus = 0. 3`.

Tie-break: early achievement → variety → seed.

Template C - Wager-based as background progression

Очки: `Score_day = min(k Sum(Bet_i), Cap_day)`.

Variety: '+ B' for first 'M' providers/day.

Use only for internal progress events or as a secondary branch of the season, and not for public tournaments.

10) How to choose a model for a task

1. We need fair mass competition → Multiplier (+ best N, diversity bonus).

2. Want "marketing highlights" and stories → Win-based, but always with a log curve, caps and divisions.

3. Requires background "meta-progress" and predictable economy → Wager-based as a parallel branch of quests/season, and not the main rating.

11) Pre-start checklist

Rules

Selected model (multiplier/win/wager) for the target.
Formula, mouthguards, best N, diversity bonus.
Short rule text + full T&C with examples and tie-breaks.

Economy

RewardRate in corridor 0. 2–0. 8% GGR, payout width 20-40%, 60/30/10 structure.
Vagers, claim time ≤ 72 hours, Frispin slots with managed variance.

Safety/RG

Event deduplication, anti-bot, anomalies, prize holds to KYC (where required).
RG limits, soft participation caps/day, break reminders.

UX/Data

Tournament center (timer, rule, progress, best attempts).
Micro-feedback and A11y.

[The] dashboards: participation, fairness, economics, RG.

Win-based - spectacular, but risky without normalization and caps.

Wager-based - manageable, but more suitable for background progression, otherwise pay-to-grind arises.

Multiplier is the gold standard of fair competition: evens up the odds, pairs well with sprints and week-long marathons.

Set up formulas (log curves, best N's), add a diversity bonus, keep the economy in the corridor and observe the RG - and tournaments will be both fun, fair and economically sustainable.