Decide faster
See the main weekly answer.
Start from the answer-first view when you want a quick read on the modeled slate, top values, and the best lineup summary.
LuckyLineupBeta
Info / Guide
Use LuckyLineup to make a sharper ATP Fantasy call.
LuckyLineup helps you turn tournament probabilities, player prices, and roster rules into a practical lineup decision. It is built for users who want the answer quickly, then enough detail to challenge it before locking a team.
Main use
Lineup
Best check
Value
At a glance
Four decisions the app helps with.
Lineup
6 + 2
Value board
Pts / cr
Builder
Live run
Pricing
Cost move
What you can do
Use it as a decision aid, not a news feed.
The app is designed around the weekly decision: who should be in the lineup, who is efficient for the price, and where the model is making its bet.
Customize
Run your own lineup.
Use the lineup builder when your budget, eligible players, or risk preference differs from the default answer.
Compare
Find efficient picks.
Sort the value board to separate high raw projected points from cheaper players who return more points per credit.
Inspect
Understand why a player rates well.
Open player details to see tournament exposure, round likelihoods, likely path context, and the projection breakdown.
Workflow
A simple way to use the product.
Most users should not need to read every number. Start broad, adjust only the inputs that matter to your situation, then use the details to catch picks you disagree with.
01
Start with the slate.
Use Home for the fastest overview: included events, assumptions, top values, and the current default lineup summary.
Open02
Check the optimized lineup.
If the default setup matches how you play, treat the lineup summary as the baseline answer before making manual adjustments.
Open03
Customize only when needed.
When you want a different budget, smaller player pool, fixed player, or draw-congestion preference, run the builder.
Open04
Validate the picks.
Use Players and Pricing to sanity-check expensive stars, lower-cost values, and the next two ranking-based cost movements.
OpenHow it works
The weekly answer is built from projections, prices, and constraints.
The frontend displays computed view models from the API. Core pricing, projections, likely paths, and lineup optimization are computed server-side so the same logic powers every page.
Inputs
The model begins with the draw.
The backend starts from the modeled tournament slate, player identities, rankings, countries, draw positions, and round-reach probabilities. Elo context is used where the data pipeline has it.
Projection
Every player gets an expected-points total.
Round-reach chances are converted into expected fantasy points. The total includes round points, expected upset bonuses and penalties, adjusted ace points, and adjusted double-fault penalties.
Pricing
Costs are proxy prices for now.
Until official fantasy prices are integrated, player costs come from a rank-based proxy table. This keeps lineup decisions budget constrained without hardwiring future pricing rules into the UI.
Optimizer
The lineup is solved as a constraint problem.
The optimizer chooses six starters, two alternates, and the bonus ball while staying under budget. The default answer maximizes projected points; live runs can add your constraints.
Builder controls
Change inputs when your decision is different.
The default answer is the quickest baseline. Run a custom lineup when your usable player pool, risk preference, or budget differs from the default model setup.
Budget
Change the spend limit.
Use the default budget for the standard game, or lower it to see which players survive a tighter team-building constraint.
Player pool
Shape who can be selected.
Remove players you do not want to consider, or fix players you already know you want included before the optimizer runs.
Draw
Account for internal collisions.
Increase draw-distribution weight when you want the builder to care more about selected starters blocking each other in the same bracket path.
Reading the answer
Know what each number is trying to tell you.
The model is useful because it makes assumptions explicit. It should help you compare decisions, not remove judgment from close calls.
Expected value
Treat projections as probabilities.
Projected points are an average outcome, not a promise. A high projection means the player has a stronger modeled expected return, not that the draw will unfold that way.
Value
Separate strength from efficiency.
Raw projected points are best for finding ceiling. Points per credit is best for finding budget efficiency. Good lineups usually need both.
Bonus ball
The captain slot matters.
The bonus-ball starter has the largest impact because that starter's projected points count twice in the lineup total.
Alternates
Starters drive the answer.
Alternates are included because the fantasy roster requires them. In the MVP they are treated as low-cost roster slots, not as separate chip or substitution strategy.
Limits
What LuckyLineup does not do yet.
MVP scope stays narrow so the weekly decision engine remains understandable. These items are intentionally not optimized today.
Personalized roster advice based on your existing team, transfers, or private league situation
Switching costs, chips, saved lineups, user accounts, and account sync
Ownership, leverage, variance, and game-theory views
Live scoring or automatic in-match lineup updates
Fantasy bonus and penalty categories that are not part of the current projection model
Player photos; the app uses country flags instead
Next
Where to go from here.
See the active slate, included events, top values, and default lineup summary.
Set budget, player pool, and draw-distribution preference before running the optimizer.
Sort and filter the full value board by projected points, cost, or points per credit.
Compare current proxy prices across the next two ATP Fantasy Monday resets.
Legal
Legal Notice (Impressum)
Address
Benedikt WitecyRohrbachstr. 2a
85049 Ingolstadt
Germany
Contact
Email: benediktwitecy@proton.me
Responsible for content
Benedikt WitecyRohrbachstr. 2a
85049 Ingolstadt
Germany