Custom Model System · Private access only

Custom Model System: a bespoke AI prediction model for your leagues and markets

The Custom Model System is Mysports.AI’s bespoke modeling service. Our data science team builds a prediction model that works for you alone — shaped by the leagues you target, your preferred markets, stake size, and risk tolerance, from discovery interview through data collection, model training, and backtest validation. It is not sold publicly and runs on private access only — message our Telegram to explain your needs, and once approved we provide a dedicated private link.

Interactive demo · Simulation, not a real ledger

Model Parameter Lab (test-drive your strategy)

Tune the model version, staking strategy, average odds, and bankroll, then hit run to trace a Monte Carlo equity curve right in your browser — and see how each parameter moves hit rate, ROI, and drawdown. Every run comes out different, because that is exactly how luck and strategy interact in the real world.

Parameter panel
Model versionSets the base hit rate p
Staking strategy
Average odds (European decimal)Typical value range 1.5–2.5 · Now 2.00
1.503.00
SportFine-tunes volatility
MarketLabel only
Feature weights · NBATune what the model emphasizes · Focus score 58/100
Offensive efficiency50
Defensive efficiency50
Three-point shooting50
Rebounding50
Pace50
Risk appetiteFine-tunes the Kelly fraction
Starting bankroll10,000 units
Kelly calculation (from current p and odds)
Full Kelly f* = 4.5% · Half Kelly 2.3% · then × risk factor 1×
Number of bets

Every click reruns a fresh random path, so the result naturally changes each time — which is exactly why a single run tells you nothing.

Simulation result
Simulation, not a real ledger

This is a theoretical, illustrative simulation — not a real ledger. It assumes a fixed hit rate, but in reality hit rate falls as odds rise (market efficiency), and higher odds do not mean higher expected value. Past results do not predict the future and are no guarantee of profit — please play responsibly and within your means.

Custom model training
Illustrative view
Model score
Iterations
epoch1/ 53Features 1,500+Backtesting…
Interview
Data
Features
Training
Backtest
Delivery

Illustrative view · Not live data — the training process is for illustration; actual timelines depend on your requirements.

Why do you need a custom model?

Because no two bettors have the same needs. To serve everyone, a generic model has to compromise on breadth: it does not know you only bet the Premier League and NPB, that you favor totals over moneyline, or how big your stakes are and how much drawdown you can stomach. Those gaps add up to a model that works hard but never quite fits how you play.

A custom model flips the order: define your markets and bet types first, then decide the data, features, and training approach. The model only needs to excel within the range you actually bet, and its output maps directly to your decisions.

ComparisonGeneric modelCustom model
CoverageMajor leagues and popular markets — broad but shallowFocused only on the leagues and markets you target — deep and specialized
Market fitBuilt around moneyline; other markets rely on generic conversionModeled directly for your markets (moneyline / spread / totals / parlay)
Bankroll & riskNo awareness of your stake size or risk toleranceBakes stake size and risk tolerance into every recommendation
IterationUpdated on a fixed schedule and shared by everyoneTuned features and parameters based on your real betting feedback
Output formatA fixed interface — everyone sees the same viewAPI, push alerts, or reports that fit your workflow

Want to understand the methodology behind our modeling? See the AI algorithm breakdown; to see how our public models are validated, check AI model performance — custom models deliver backtest results to you against the very same standard.

How we do it

A complete data science pipeline from requirements to delivery, with a concrete deliverable at every step.

01

Discovery interview

We pin down the leagues you target, your preferred markets, stake size, and risk tolerance — defining the problem clearly before we decide what the model should look like.

02

Data collection & feature engineering

We gather historical results, odds, and contextual data for your target leagues, then engineer features that genuinely explain outcomes in that market.

03

Model training

We select an architecture suited to the market and train it to output well-calibrated probabilities — not marketing slogans.

04

Backtest validation

We validate with walk-forward testing on unseen seasons, then hand over the full backtest methodology and results so you can scrutinize them yourself.

05

Delivery & ongoing iteration

We ship in your chosen format, then keep maintaining, retraining, and tuning the model based on real-world feedback and fresh season data.

Every project differs in data conditions and feasibility, so we always assess before building. Not sure whether your idea is workable? Just reach out on Telegram for a chat — the assessment is free.

Who is this service for?

Single-league specialists

You bet only a handful of leagues and have your own read on the lines. You need a model optimized solely for those markets — not a one-size-fits-all generic build.

Bettors with a strategy to validate

You already have a selection logic or entry criteria and want to quantify and backtest it with data science — to find out whether it actually holds up on historical data.

Studios & teams

You need a stable model signal feeding your own decision pipeline, and you care about API integration, output format, and a maintenance schedule — not a one-off list of picks.

Delivery formats: pick one of three

How you use the model is up to your workflow — we settle it together during the discovery interview.

API integration

Model output delivered via REST API — including probability estimates and update timestamps — so it plugs straight into your existing systems, spreadsheets, or automations.

Telegram alerts

Once the model finishes a run, matches meeting your criteria are pushed to Telegram in real time — no need to keep checking yourself.

Scheduled reports

Tidy reports at an agreed cadence: matches, model probabilities, the corresponding lines, and notes — ideal for those who prefer to make the final call themselves.

How to get access: a three-step consultation

This service runs on private access — there is no public checkout on the site. It all begins with a single conversation.

Step 1

Message us on Telegram and tell us what you need

Tell us the leagues and markets you focus on and your rough requirements; our team will make an initial assessment of whether custom modeling is a fit.

Step 2

Confirm the plan and details

Together we lock in the data scope, delivery format, timeline, and pricing — work begins only once both sides are clear.

Step 3

Get your private link and get started

Once approved, you receive a dedicated private link and delivery channel, formally entering the modeling and delivery process.

Risk disclaimer

  • Model output is a probability estimate, not a guaranteed result; any single match can turn out the opposite of the model’s read.
  • Backtest performance is based on historical data and does not predict future results; league structures, team form, and the odds environment all change.
  • Set your stakes and stop-loss according to your own bankroll. Not for anyone under 20 — play responsibly and within your means.

Ready to use this service?

This service runs on private access: message our Telegram, tell us your leagues, markets, and requirements, and once approved we provide a dedicated private link to begin the consultation.

Custom modeling slots are limited and assessed case by case based on complexity and data conditions; we cannot guarantee that every request can be taken on.

Chat on Telegram