MLB field guide · free to read

How to read MLB matchup analysis

Read the pitching numbers in context, distinguish a source record from a prediction, and know what to check before trusting a matchup comparison.

In this guide

Start with the game, then the numbers

A useful baseball preview begins with a simple check: does it describe the game you are about to watch? Confirm the matchup and date, then check the listed pitchers. A probable starter can change. An article written earlier in the day may describe a different information snapshot from the latest picks page.

Next, identify whose statistics you are reading. A team pitching figure covers the staff represented in that sample. A starter’s figure describes that pitcher. Neither automatically describes the bullpen available for this particular game. Keep those three questions separate before comparing the teams.

What ERA and FIP can tell you

ERA: recorded earned runs

Earned run average expresses earned runs allowed per nine innings. It describes the recorded results over the stated innings; it does not predict the number of runs a pitcher will allow tonight. Read the innings sample beside it. ERA definition: FanGraphs.

FIP: a different view of pitching

Fielding independent pitching uses home runs, walks, hit batters and strikeouts, with innings and a scaling constant. Its focus differs from ERA, so the two can disagree without either number being a transcription error. FIP definition: FanGraphs.

In WP articles, labels such as “WP-calculated FIP” or “WP-estimated” matter. They identify our calculation or approximation, rather than an identical value supplied by every statistics provider. Compare definitions and reporting periods before treating two similar labels as interchangeable.

A lower figure in one column is a descriptive comparison. It does not, by itself, explain the model’s selection or establish that a wager offers value. The article’s statistics and its selection answer different questions.

A small sample can look more convincing than it is

Fictional example · not a game prediction

Pitcher A: 0.00 ERA over 3 innings
Pitcher B: 3.60 ERA over 100 innings

Pitcher A has the lower recorded ERA, but the two numbers summarize very different amounts of evidence. The first does not establish that A is the better pitcher. Before drawing a conclusion, examine the innings, the reporting period and the other available information.

Similarly, a recent stretch and a season-to-date record are not competing versions of the same statistic. They describe different windows. If one row covers the regular season and another covers postseason games, keep that distinction visible rather than blending them into one comparison.

How to read a WP article

  1. Check the preview date. Today’s list and the historical archive serve different purposes. An archived selection is not a current recommendation.
  2. Read the source scope. Look for the season, sample and provider notes. If an exact statistical through-date is unavailable, do not assume the numbers include the latest completed game.
  3. Separate player status from statistics. A listed pitcher or reported injury is information from a source, not independent confirmation of the final lineup.
  4. Read the selection as a snapshot. Compare it with the latest picks page if game information has changed. Do not infer a precise win probability from a confidence label.

WP’s current writing process arranges paragraphs built from available source records. The model’s selections are added separately. That structure helps keep the descriptive evidence distinct from the pick, but it cannot make an incorrect upstream record true or remove uncertainty from a game.

What you can read for free

The current daily overview has a public briefing. Complete current matchup articles and detailed selections require an eligible pass; historical articles are available through the archive under the current access policy. This guide is public and contains no current selections.

Use the article list to find the latest coverage, the track record to examine recorded results, and the FAQ for product questions. Evaluate results over a meaningful sample rather than choosing a few memorable wins.