Trade Evaluation: Rest-of-Season vs Standings

Mid-season trades are where leagues are won and lost. The framework that separates good traders from bad: evaluate every offer against rest-of-season (ROS) projections AND your standings position, not against year-to-date stats or how the player has performed for you.

Year-to-date is a trap. A hitter at .310 in May who's been overperforming his expected stats (xBA, xwOBA, BABIP) is more likely to regress than continue. Trading for him at peak value — accepting a return based on his .310 line — usually leaves you holding the bag. ROS projections from FanGraphs or Razzball give you a forward view that smooths outThree outs end a half-inning. Recorded by strikeout, fly out, ground out, force out, or tag. the variance.

Standings position dictates which categories matter. In roto, look at the gap to the next standings band in each category. If you're tied for 4th in HR but 50 points clear in saves, trading a closerThe reliever assigned to the 9th inning of close games. Earns saves. for a power bat is correct even if the raw value is roughly equal. In H2H Cats, your matchup history tells the same story — if you've gone 2-8 in saves all year, a closerThe reliever assigned to the 9th inning of close games. Earns saves. doesn't help you win extra weeks.

The 'who wins the trade' question is the wrong question. The right question is 'who moves up more in the standings'. A trade where both managers add 4 categories of value isn't a draw — it's a win for both sides if both teams climb, which is actually how good trades work in non-zero-sum formats like roto. Trade often, trade boldly, but always with a category-specific thesis.