Who wins your fantasy baseball trade?
This fantasy baseball trade analyzer values hitters and pitchers for 5x5 roto and categories leagues, from real MLB stats. Add both sides and see who wins.
5x5 roto or categories, 12 teams. R, HR, RBI, SB, AVG and W, SV, K, ERA, WHIP.
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How fantasy baseball trade values work
In a 5x5 league you win by stacking up ten categories: runs, home runs, RBI, stolen bases and batting average for hitters, and wins, saves, strikeouts, ERA and WHIP for pitchers. A trade is good if it raises your totals in those categories more than it lowers them.
The problem is that categories use different units. Is 10 home runs worth more than 15 steals? We answer that with z-scores. For each category we take the players good enough to be rostered in a 12-team league (14 hitters and 9 pitchers per team), find the average and the spread, and measure how many spreads each player sits above or below that average. A player who is one spread above average in home runs and one below in steals is a wash in those two categories.
Add a player's z-scores across all five categories and you get his total. Subtract the total of the first player outside the rostered pool, the best one you could pick up, and you have his value above replacement. The best player in the game is set to 10,000.
Batting average, ERA and WHIP count by volume
Rate stats need one extra step. A .320 hitter with 150 at-bats barely moves your team's average, while a .300 hitter with 600 at-bats moves it a lot. So instead of the raw rate we score the impact: how many more hits a hitter collected than an average hitter would have in the same at-bats. ERA and WHIP work the same way with earned runs and baserunners per out recorded.
Stats, not projections
Baseball values come from actual season stats published by the MLB Stats API. Early in a season, a few weeks of stats can mislead, so we blend this season with last season. The current season's share grows with the number of games played and reaches 100 percent after about 60 games. In the offseason, values show the complete season just played.
Stats look backward. They know nothing about a player coming back from injury or a rookie just called up. Use the values to compare what each player has done, then adjust for what you expect next.
Current values: 2026 season stats, updated October 13, 2026.
Top fantasy baseball trade values
The 20 most valuable players in 12-team 5x5 roto leagues right now.
| # | Player | Pos | Team | Value | Value bar |
|---|---|---|---|---|---|
| 1 | Pete Crow-Armstrong | CF | CHC | 10,000 | |
| 2 | Yordan Alvarez | DH | HOU | 7,746 | |
| 3 | Jacob Misiorowski | SP | MIL | 7,418 | |
| 4 | CJ Abrams | SS | WSH | 6,973 | |
| 5 | Fernando Tatis Jr. | RF | SD | 6,810 | |
| 6 | Pete Alonso | 1B | BAL | 6,721 | |
| 7 | Randy Arozarena | LF | SEA | 6,389 | |
| 8 | Elly De La Cruz | SS | CIN | 6,375 | |
| 9 | Junior Caminero | 3B | TB | 6,357 | |
| 10 | Cam Schlittler | SP | NYY | 6,335 | |
| 11 | Jordan Walker | RF | STL | 6,238 | |
| 12 | Miguel Vargas | 3B | CWS | 5,966 | |
| 13 | Ben Rice | DH | NYY | 5,928 | |
| 14 | Sal Stewart | 1B | CIN | 5,816 | |
| 15 | Brice Turang | 2B | MIL | 5,538 | |
| 16 | James Wood | RF | WSH | 5,517 | |
| 17 | Otto Lopez | SS | MIA | 5,504 | |
| 18 | Jackson Chourio | LF | MIL | 5,492 | |
| 19 | Alec Burleson | 1B | STL | 5,436 | |
| 20 | Bobby Witt Jr. | SS | KC | 5,215 |
Baseball trade tips
- Trade from surplus. If you lead your league in home runs by a mile, extra home runs do not earn you more points in roto. Trade some power for the category where you can gain the most places.
- Saves are cheap to chase and expensive to buy. Closers change all season. You can often pick up saves on waivers instead of paying for them in a trade.
- Steals are scarce. Few players steal a lot of bases, so one speedster can swing the category. That scarcity is already part of the z-score.
- Mind innings limits. If your league caps innings, a starting pitcher's value depends on how many innings you have left to use.
Head-to-head and points leagues
Head-to-head categories leagues use the same ten categories, so these values fit them well. Points leagues score stats differently, and values there would favor high-volume pitchers more. For now the analyzer covers 5x5 categories only.
Playing fantasy football too? The fantasy football trade analyzer uses weekly projections, and the fantasy basketball trade analyzer uses the same z-score method for 9-category leagues.