Track Record

Accessing Track Record

Navigate to the Track Record page via the sidebar menu item “Historial”, or visit /track-record (English alias) or /historial (Spanish alias) directly.

The page has a built-in bilingual toggle at the top with “Espanol” and “English” tabs that switch the page content language. This toggle is independent of the docs site language picker — it only affects the Track Record page itself.

Note

The app interface is in Spanish. This guide references the actual labels you will see. Both /track-record and /historial lead to the same page.

Streak Badge

At the top of the page, a streak badge displays the current winning or losing streak count. The streak updates daily after pick settlement and gives you a quick pulse on recent momentum.

Filter Bar

A filter bar lets you slice all displayed data by multiple dimensions. Every section below — KPI grid, daily results, chart, and hit rate breakdown — updates together when you change filters.

Filter	Options	Description
Tier	Premium, Standard, All	Filter by pick rating tier
Stat	Points, Rebounds, Assists, etc.	Filter by statistical category
Date range	30 days, 90 days, All, Custom	Time window for the data
League	NBA, WNBA	Filter by league
Period	Full game, 1H, 1Q	Filter by game period

Combining filters lets you answer specific questions such as “How did Premium Assists picks perform over the last 90 days in the NBA?”

KPI Grid

Six key performance cards are displayed in a grid at the top of the results area:

KPI	Description
Hit Rate	Percentage of settled picks that hit (won) in the filtered period
Total Profit	Net profit in flat units for the filtered period
ROI	Return on investment percentage
Picks Settled	Total number of picks resolved (hit, miss, or push)
Days	Number of days with data in the filtered period
Overall Hit Rate	Lifetime hit rate across all data (ignores filters)

Tip

The “Overall Hit Rate” KPI always shows the lifetime number regardless of your filter selections. Use it as a baseline to compare against your filtered results.

Daily Results Table

Below the KPI grid, a detailed day-by-day breakdown shows how the engine performed each day:

Column	Description
Date	The date of the picks
Type	LIVE (real-time picks) or BT (backtest — retroactive analysis)
Picks	Number of picks settled that day
Hits	Number of picks that hit
Hit Rate	Daily hit percentage
Profit	Daily profit in flat units
Cumulative	Running total profit from the start of the filtered period

Note

The “BT” badge means backtest data — the scoring engine was run on historical games after the fact to evaluate what it would have predicted. “LIVE” means real-time picks that were published before game tip-off. Both types are shown transparently so you can evaluate each independently.

Cumulative Profit Chart

A line chart visualizes cumulative profit over time. Key elements:

• Profit line — the running total of profit across the filtered period, plotted day by day.
• 52.4% breakeven line — a horizontal reference line showing the break-even point for standard -110 odds. If the profit line stays above this reference, the engine is profitable over that stretch.

The chart updates when you change filters, letting you visualize performance for specific tiers, stats, or time windows. Look for sustained upward trends above the 52.4% breakeven threshold as a sign of consistent edge.

Hit Rate by Rating

Horizontal bar charts break down hit rate by rating tier:

• PREMIUM row — hit rate, total profit, and ROI for Premium-rated picks
• STANDARD row — hit rate, total profit, and ROI for Standard-rated picks

Each bar fills proportionally to the hit rate percentage. This section helps you decide whether to follow all published picks or focus on Premium-only for a higher expected hit rate.

Recent Good Picks

A table showing recent Premium and Standard picks from the last 14 days. Each row displays:

• Player name
• Stat category
• Direction (Over/Under)
• Line value
• Result (hit, miss, or pending)
• Score

This section gives you a quick sense of what the engine has been recommending recently and how those picks resolved.

Methodology

An explanation section describes how the 7-block scoring engine evaluates picks. Each pick is scored by seven independent analysis blocks — Player Profile, Matchup, Synergy, Game Context, Market Line, Analysis Quality, and External Signals — each producing a 0-100 score with a confidence index. A weighted orchestrator combines them into a final score that determines the pick rating.

This is a condensed version of the engine description. For the full breakdown of each block and how weights are applied, see the Platform Overview.

The methodology section exists on the Track Record page to provide transparency right where you are evaluating performance results.

Disclaimer

Important notes about the data on this page:

• Backtest (BT) and live (LIVE) data cover different date ranges. Backtest data extends further into the past, while live data begins from the date the engine started publishing real-time picks.
• Backtest data shows what the engine would have predicted, not picks that were actually published in real time. It is useful for evaluating the model’s historical accuracy but should not be treated identically to live results.
• Live data represents actual published picks that were available before game tip-off.
• Past performance does not guarantee future results. Use the Track Record as one input in your decision-making, not as a guarantee.

For responsible use of this data, see Responsible Gambling.

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For details on how individual picks are scored, see Pick Cards. To research a specific player’s data, see Player Research.