Sports Analytics Guides
How to Build a Sports Model, Step by Step
How to build a sports model: pick the question and inputs, avoid leakage, turn ratings into probabilities, calibrate against the market and run it live.
· 7 min read
Sportslyx Blog
Predictions & Tracking
How a prediction becomes a graded result: recording before the start, flat stakes, hit rate against ROI, one calendar-month period, the grading rules for draws and voids, and how much volume a record needs.
Guides
8 guides in this category, newest first. Each one is tied to the pages it refers to — the hub, the statistics section, the pick tracker — so the method can be tested on live games rather than taken on trust.
Esports Analytics Blog
How to Read League of Legends Odds and Series Lines
How to read League of Legends odds: American and decimal prices, implied probability, removing the margin, series moneylines, handicaps and totals by format.
· 7 min read
Soccer
How to Analyze Soccer Matches With Data
How to analyze a soccer match with data: the 1X2 market as a probability, why the draw changes the math, expected goals, form, and grading a draw as a push.
· 7 min read
NFL
How to Analyze NFL Games Like an Analyst
A repeatable way to analyze an NFL game: read the line first, weigh the injury report, use efficiency over yardage, account for rest and wind, then grade it.
· 7 min read
Predictions & Tracking
How to Track Sports Predictions Honestly
How to track sports predictions honestly: record before the start, fix the stake, separate hit rate from ROI and write the grading rules down first.
· 7 min read
Sports Analytics Guides
What Is Expected Value in Sports Analytics?
Expected value explained with real prices: the formula, break-even probabilities by American odds, the vig, correlated legs, variance and realized ROI.
· 7 min read
AI Sports Analysis
How AI Sports Predictions Work
How an AI sports prediction is built: the market line becomes a win probability, a language model writes the breakdown, and every read is graded.
· 7 min read
Sports Analytics Guides
Sports Analytics Explained: A Plain-Language Guide
What sports analytics is, how it differs from statistics and prediction, why the market is the baseline, and how to judge any model on its record.
· 7 min read
What This Section Covers
A prediction that is never scored is an opinion, and an opinion is easy to remember selectively. The guides in this category are about the discipline that turns predictions into evidence: log the read before the event starts, fix the stake, define what counts as a win, a loss, a push and a void before the result is known, and aggregate over a period that was chosen in advance rather than after a good week.
They are also about reading a record correctly. Hit rate and ROI answer different questions and can point in opposite directions; a favorite-only method posts a high hit rate by construction; fifty graded reads cannot separate a 52% method from a 58% one; and a month in which a 60% favorite loses half its games is not evidence that the number was wrong. Each guide works through the arithmetic with real numbers.
Sportslyx automates most of this. Tracked picks close fifteen minutes after the start, settlement jobs grade from official results, the period is one calendar month in UTC across the whole product, and the same definitions produce the public record and the personal one. The guides explain the rules so the pick tracker can be audited rather than trusted.
See the Method Running on Live Games
The tracker these guides describe — the fifteen-minute cutoff, the flat-stake company record, one calendar month per sport — is open to your own reads inside the 7-day Pro trial.
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