Guides and explainers
Practical guides to sports analytics, AI match analysis and prediction tracking, written around the way Sportslyx actually works: a market-derived win probability for every game, a language-model breakdown that explains the number rather than inventing it, and a graded record for every read. Nothing here promises an outcome; everything here can be checked against the live product.
Newest first
Every guide is dated, published by Sportslyx and tied to a specific part of the product — a sport hub, a statistics page, the pick tracker — so the method it describes can be tested on today’s slate rather than taken on trust. New guides appear at the top; older ones are kept as written, with the date visible.
Esports Analytics Blog
How to analyze a VALORANT series: the rotating map pool, the veto, compositions, roster changes, reading the series line, and how a one-map loss is graded.
· 8 min read
Golf
Strokes gained explained: what it measures, why it beats scoring average, which components persist, and how course fit and the outright market shape a preview.
· 8 min read
Sports Analytics Guides
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
Esports Analytics Blog
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
NHL
What expected goals measure and miss, why the confirmed goalie moves an NHL line, shot share, special teams, puck line versus moneyline and overtime grading.
· 8 min read
Esports Analytics Blog
How to analyze a Dota 2 series: best-of-two, three and five formats, what the draft and a new patch change, rosters, reading the series line, and grading.
· 8 min read
Soccer
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
MLB
Why the starting pitcher drives an MLB moneyline, ERA versus FIP, strikeout and walk rates, bullpen fatigue, platoon splits and park factors, explained.
· 8 min read
UFC
How to analyze a UFC fight with data: style matchups, significant strikes, takedown defense, finish rate, reach and layoffs, and how a fight read is graded.
· 8 min read
Esports Analytics Blog
How to analyze a Counter-Strike 2 series: best-of formats, the map veto, map pools and rosters, reading the series line, and why a one-map loss is a push.
· 8 min read
NBA
An NBA statistics guide for analysis: per-possession ratings, the four factors, pace, rest and availability — which numbers predict and which only describe.
· 7 min read
NFL
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: 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
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 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
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
Seven sports
One category per sport. Sport guides start from the market line for that sport, work through the statistics its breakdown actually reads, and end with how the read is graded — because the grading rules differ from sport to sport: a soccer draw is a push, a scratched MLB prop is void, a cancelled fight is removed from the record, and golf previews sit outside the record altogether.
National Football League
What the spread encodes, why the injury report moves the line, and which efficiency stats hold up from week to week.
1 guide →
National Basketball Association
Per-possession ratings, the four factors, rest and availability — the NBA numbers that predict rather than describe.
1 guide →
Major League Baseball
Starting pitchers, ERA versus FIP, run scoring and form — and how MLB player props are graded from the box score.
1 guide →
National Hockey League
Expected goals, shot share, special teams and the confirmed goalie: analyzing hockey without the narratives.
1 guide →
Soccer — major leagues and competitions
The 1X2 market, expected goals, form and congestion — and why a draw is graded as a push on Sportslyx.
1 guide →
Ultimate Fighting Championship
Striking and grappling profiles, finish rates, reach and layoffs: comparing two fighters from public numbers.
1 guide →
PGA Tour
Strokes gained by component, course fit as a concept, field strength, made-cut rate and how to read an outright market.
1 guide →
Cross-sport
Three topics for readers who want the method rather than the matchup: the analytics concepts every page of the site relies on, what the AI does and does not do in the pipeline, and how a prediction becomes a graded result that can be audited.
Core concepts of sports analytics — expected value, probability, models and how to evaluate them.
Probability, expected value, sample size and the market as a baseline — the concepts behind every page on the site.
15 guides →
How AI reads a matchup, where it is strong, where it fails and how to use its output responsibly.
How a language model turns a data package and a line into a breakdown, and why the number on the page is the market’s.
3 guides →
How predictions are made, graded and tracked — and how to keep your own honest record.
Recording before the start, flat stakes, hit rate versus ROI, one calendar month and the rules for pushes and voids.
8 guides →
Reading order
Three guides that explain the product end to end. Read them in order — the pipeline, the concepts, the record — and the rest of the blog, and every number on Sportslyx, will read more clearly. Each one links to the page where the idea is applied on live games.
AI Sports Analysis
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
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
Predictions & Tracking
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
Editorial rules
The blog holds to the same line as the rest of the site: analytics, statistical estimates and a public record — no promises, no advice, and no tout service. The company board is part of every subscription, published before the start and graded in public.
Each guide is written against the product, not alongside it. When a guide says the win probability is market-derived, that is because the number on every Sportslyx game page is the moneyline pair with the bookmaker’s margin removed; when it says a draw is graded as a push, that is the rule the settlement jobs apply. Where the product has a limit — data that arrives late, a competition without shot data, a weak data-quality tier on a breakdown — the guide says so, because the reader will meet that limit on the live board.
Numbers in worked examples are real prices and real arithmetic, chosen to be reproducible by hand: a -150 favorite becomes a 60.0% break-even and a 58.0% fair probability; a 55% method over fifty results sits inside a fourteen-point interval. No results are quoted from memory and no record starts on a good week. The public record lives on the Pick Tracker, by calendar month in UTC and by sport, and the guides link to it rather than summarizing it.
What the guides do not do is fixed as well. They are not a tout service — the company board is part of every subscription, published before the start and graded in public — they do not promise outcomes, and they do not present past results as a forecast of future ones. Sportslyx is an analytics workspace for adults — statistical estimates and written breakdowns for information and entertainment — and a guide that reads as advice is a defect in the guide. The methodology fixes the definitions the guides use, and the data sources page names every feed and its known gaps.
Guides are added as the seasons turn: baseball and golf through the spring and summer, football and soccer into the autumn, basketball and hockey across the winter, UFC year round. A sport category without a guide of its own still links to that sport’s analytics hub, predictions board and statistics pages, which cover the same ground on live data, and the cross-sport guides above apply to every one of the seven.
Every guide on this page describes something you can check on the live board — the 7-day Pro trial opens the AI breakdowns, market-derived probabilities, the daily company reads, Combo Builder, Studio and the pick tracker for all seven sports.
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Sportslyx produces statistical estimates and analytical breakdowns for information and entertainment. Nothing on this page is betting advice, and no outcome is certain. 18+ only. Please play responsibly — see our Responsible Play page.
