What Jacob deGrom's 2018 Season Would Look Like in 2000
This page projects Jacob deGrom's production from the 2018 run environment into the 2000 one, so the two can be compared directly. His actual line was 1.70 ERA, 0.91 WHIP. Translated to 2000 conditions, that becomes 1.95 ERA, 1.03 WHIP. The translation rescales counting stats by the ratio of league run scoring between the two eras; it does not attempt to model park, travel or integration effects.
- ERA (Earned Run Average):
- Earned runs allowed per nine innings pitched: (ER × 9) ÷ IP. The primary measure of pitching effectiveness.
- WHIP (Walks and Hits per Inning Pitched):
- Baserunners allowed per inning: (BB + H) ÷ IP. Under 1.00 is elite.
Data updated
What would Jacob deGrom's 2018 season look like if he pitched in 2000 instead? Below, his real 2018 line sits beside a cross-era translation into 2000's run environment — and a live slider lets you drop that season into any year in MLB history.
Jacob deGrom — 2018 (real)
Translated to 2000
Why the translated ERA is higher: 2000 was a higher-offense run environment than 2018 (league ERA 4.15 → 4.77).
What this translation does not account for
This is a model, not a prediction. It re-expresses only Jacob deGrom's rate stats against 2000's league run environment — and nothing else. It does not account for the depth of competition (integration, international talent, a vastly larger athlete pool), pitch velocity, modern pitch arsenals (sliders, splitters, sweepers), strength and conditioning, or in-game adjustments and advanced scouting.
So a higher translated line means 2000 was simply a higher-offense era — not a claim that Jacob deGrom would actually perform better against today's pitching.
Rate Stats: Real vs. Translated
These rate stats are re-expressed by holding Jacob deGrom's performance relative to his league constant and re-basing it on 2000's averages (the same idea behind OPS+/ERA+).
| Stat | 2018 (real) | 2000 (modeled) |
|---|---|---|
| ERA | 1.70 | 1.95 |
| WHIP | 0.91 | 1.03 |
Counting Stats (2018, as played)
| Wins | 10 |
| Losses | 9 |
| Games | 32 |
| Games Started | 32 |
| Strikeouts | 269 |
| Shutouts | 0 |
| Complete Games | 1 |
| Innings | 217.0 |
Why counting totals aren't translated: scaling a counting stat by the league environment ratio massively over-inflates era outliers — e.g. a 1920s slugger's home runs would balloon to absurd modern totals. So home runs, RBI, wins, strikeouts and the like are shown exactly as Jacob deGrom produced them.
Verdict
This is a model, not a prediction. In 2000, the highest-offense season of the steroid era — a run environment harder to pitch in than 2018's (league ERA 4.15 → 4.77) — one reasoned way to express Jacob deGrom's 2018 season is roughly a 1.95 ERA and 1.03 WHIP. That holds his dominance relative to his league constant and re-bases it on 2000's averages; it is not a claim that Jacob deGrom would actually post those numbers. His counting totals (10 W, 269 K) are shown exactly as he pitched them, because scaling counting stats across eras wildly inflates outliers.
Try Any Era — Live
Pick a player and slide across MLB history to re-translate their peak season into any season's run environment. Same model, recomputed instantly.
Jacob deGrom in Other Eras
View Jacob deGrom's full profile → · Browse all era translations →
What Jacob deGrom's 2018 Season Would Look Like in 2000: Frequently Asked Questions
- What would Jacob deGrom hit in the 2000?
- Translated into the 2000 run environment, Jacob deGrom's line becomes 1.95 ERA, 1.03 WHIP.
- What did Jacob deGrom actually do?
- His real line was 1.70 ERA, 0.91 WHIP in 2018, compiled in the 2018 season.
- How does the era translator work?
- It rescales a player's counting statistics by the ratio of league-wide run scoring between the two eras, holding his playing time constant. It does not model park effects, travel, equipment or the integration of the leagues.