The model’s task
Find outcomes whose probability the market appears to have mispriced.
Systematic capital management powered by
our tennis analytics model, Tennis Quant Engine.
Share of profitable
positions
Average market
odds
Share of capital
deployed each day
Rosenberg Systems operates in sports markets. The fund built Tennis Quant Engine to estimate how likely each outcome is in a tennis match.
The model compares its estimate with the probability implied by the bookmaker’s odds. The fund uses that difference to select positions with positive expected value.
From player statistics to position selection
in four steps.
TQE considers each player’s Elo rating, the court surface, recent form, serve and return performance, workload and match context.
The model weights player and match data to estimate the probability of each outcome under consideration.
TQE compares its estimate with the probability implied by market odds. The difference between the two is the edge.
The fund selects positions with positive expected value. Any single position can lose, so the fund evaluates performance across a series of positions.
In the fund’s example, the model gives Novak Djokovic a 57% chance of beating Daniil Medvedev. The market offers decimal odds of 2.04.
Adjust the model’s probability to see how the edge and the expected return change.
Select a term to compare the packages
in the fund’s presentation.
From $50 · Access to TQE forecasts · Counts towards partner rank
These figures are estimates from the fund’s presentation. Actual returns depend on the outcomes of the positions taken. Losses are possible.
Add funds to your balance and choose a package.
The investment cycle starts when the package is activated.
Capital is allocated to positions selected by TQE.
At the end of the term, funds return to the balance with the result of the cycle reflected in the amount.
Funds can be withdrawn or reinvested in a new cycle.
Partners earn a share of profits across three referral levels after each completed cycle.
| Rank | Level 1 | Level 2 | Level 3 | Reward |
|---|
Each rank is awarded once. The partner’s own Ace deposit must equal the reward for that rank. Moving up earns the difference between the two rewards.
Explore the fund’s app and package terms,
or visit its official channel.
Systematic capital management powered by Tennis Quant Engine.
Rosenberg Systems is an alternative asset fund operating in sports markets. Its in-house model, Tennis Quant Engine, analyses tennis matches, estimates the probability of different outcomes and compares those estimates with market odds.
Find outcomes whose probability the market appears to have mispriced.
Use the difference between the two estimates to identify a mathematical edge.
Gather statistics on players, matches, surfaces, form and workload.
Use the data to calculate a probability for each outcome under consideration.
Compare the estimate with bookmaker odds and select positions with positive expected value.
A single position can lose. The model’s edge is assessed over many positions.
Elo measures overall strength. Year Elo tracks the season, and Surface Elo reflects performance on the court surface.
Hold measures performance on serve. Break measures performance in return games.
Dominance Rating uses points won and lost. Form tracks recent matches, while Level of Opponents accounts for the strength of the opposition.
Motivation covers tournament incentives. The Ω Factor accounts for workload and recovery. Injury Discount reflects physical limitations.
The fund developed the formulas, weights and interactions between these factors in-house.
TQE compares its own probability estimate with the probability implied by the bookmaker’s decimal odds.
When the model puts a higher probability on an outcome, the difference is positive. TQE selects positions with positive expected value at the available odds.
In the fund’s example, TQE evaluates a Novak Djokovic win at decimal odds of 2.04.
Expected return is calculated as 0.57 × 2.04 − 1. A single position can win or lose. The model applies this selection process across many matches.
The fund attributes its modelled gross return to the number of selected positions and the speed at which it redeploys capital.
Figures and assumptions from the fund’s presentation. Actual returns can vary.
Tennis Quant Engine selects positions for the fund’s capital. Any gross profit from these positions is allocated between the investor and the fund according to the selected package.
The package determines the investor’s share of the result. The presentation allocates a larger share to longer investment cycles.
| Package | Term | Daily rate | Term return |
|---|---|---|---|
| Trial | 1 day | 1% | +1% |
| Standard | 3 days | 1.67% | +5% |
| Advanced | 5 days | 2.4% | +12% |
| Flagship | 7 days | 3% | +21% |
| Ace | 21 days | 4% | +84% |
Ace has a $50 minimum deposit, includes access to TQE forecasts and counts towards partner rank.
Rates quoted in the fund’s presentation. Actual outcomes may include losses.
The programme calculates rewards from profits generated by referred capital. The deposit principal is excluded from the calculation.
A referral earns a reward once that capital generates a profit.
Referral rewards can recur. If a referred partner reinvests, the next cycle can generate another payment.
A partner activates a package. When the cycle closes with a profit, the applicable percentage is credited.
Reinvested capital starts a new cycle. Any new profit forms the basis for the next referral reward.
Qualifying volume is the value of active 21-day Ace packages at each referral level.
| Rank | Level 1 | Level 2 | Level 3 | Reward |
|---|
Each rank is awarded once. The partner’s own Ace deposit must equal the rank reward. Moving from R2 to R3 pays the difference of $570 ($950 less $380 already received).
The fund’s app contains its investment packages and terms.