Is FanGraphs Getting the Math Wrong on WAR?

This article digs into why FanGraphs’ team WAR totals sometimes don’t match up with BaseRuns-based projections. It looks at what each method shows about players and teams.

You’ll get a sense of how WAR and BaseRuns handle value and context. The piece also points out where their forecasts split and how analysts can use both for a deeper look at a ballclub’s outlook.

What WAR and BaseRuns Try To Do

WAR (wins above replacement) adds up a player’s context-neutral value. It turns individual projected stats into a single number, so you can compare players across different teams.

Projections estimate on-field results first, then figure out WAR from there. So, it really focuses on player-level value and doesn’t get caught up in how a team’s run environment might change things.

BaseRuns works differently. It estimates runs scored and allowed for a team, then turns that into an expected winning percentage using a Pythagorean formula.

BaseRuns models how different pieces interact—like how more home runs can affect other baserunners. It usually picks up on weird or extreme team contexts a bit better.

Why the Numbers Diverge

The split between WAR and BaseRuns usually comes down to what each one cares about most. WAR adds up individual player value without really digging into how those players fit inside a team’s specific environment.

BaseRuns puts the spotlight on how runs play out within a team’s roster, the ballpark, and the pitching staff. That’s why you might see a Padres team with a higher projected team WAR, while Giants projection systems give the Giants a better expected winning percentage—maybe because they allow fewer home runs and prevent runs more effectively.

Context-Neutral Value vs. Run-Interaction

So, what’s the bottom line? WAR is great for comparing players across the league. BaseRuns is more about how a team’s batters, pitchers, and park effects mix together to produce runs.

The Padres can look strong in WAR since their individual players put up big context-neutral numbers. But the Giants might edge them out in BaseRuns by keeping runs off the board, which can turn into close wins in simulations.

Where Pitcher Leverage Moves the Needle

Another reason for the gap: pitcher leverage. In WAR, high-leverage relievers can really bump up a pitcher-heavy team’s WAR because they get outs when it matters most.

These relievers can swing WAR upward, even if the overall run situation doesn’t change much. BaseRuns, though, treats runs more evenly across the bullpen and focuses on how every run and out adds up in the end. That can make a few late-inning stoppers matter less in the team projection.

Leverage and the Late-Inning Factor

Both approaches have their strengths and weak spots. WAR is solid for comparing individual players. BaseRuns does a better job capturing how a team’s parts interact to create runs.

How to Use Both Metrics

If you’re a fan, scout, or analyst, it’s pretty practical: use WAR to judge the value of individual players across teams and years. Use BaseRuns when you want to see how a team’s makeup and environment shape run-scoring and winning chances.

Put them together, and you get a richer story about a club’s ceiling and a player’s impact. No single number tells it all, but using both gets you closer.

Takeaways for Fans and Analysts

• WAR works best for context-neutral player comparison across teams.
• BaseRuns really shines at team-level run-interaction forecasting and considers environmental factors.
• High-leverage relievers sometimes inflate WAR, even if the team’s broader run environment doesn’t reflect it.
• Backtests show that WAR-based playoff odds usually line up with BaseRuns odds, at least within error margins.
• Try using both metrics if you want a balanced view of a team’s prospects or a player’s true value.

So, which one should you use—WAR or BaseRuns? It honestly depends on what you want to know. If you’re after a context-neutral look at individual players, WAR’s your friend. But if you care more about how runs interact across a roster, BaseRuns offers a team-focused forecast. Honestly, the best stories come from blending both. That’s where you start to see the upside, the risks, and all the weird little opportunities that numbers alone can’t always capture.

 
Here is the source article for this story: Hey FanGraphs, Your Math Isn’t Mathing… Or Is It?