After Using 6+ Pitchers: Do MLB Teams Allow More Runs Next Game?
Empty the bullpen tonight and the story says tomorrow suffers. Across 2000-2025, the next game barely notices: runs and wins stay close to season strength.
Written by Hiroshi TanakaBaseball matchup analystAfter an MLB team empties its bullpen (6+ pitchers in nine innings), does it allow more runs, lose more or need more pitchers in its next game?
MLB regular season 2000-2025, 122,476 team-games followed by another game in the same season
- 1+0.05next-game runs allowed vs expected after 6+ pitchers
- 250.1%next-game win % after 6+ pitchers
- 34.33pitchers used next game after 7+
- 49,9709-inning games with 6+ pitchers
Every summer I hear the same reasoning. A team burned through its relievers last night, so its pitching will leak runs tonight: tired arms, unavailable setup men, a manager forced to stretch his starter or call on the long man. I wanted to test that story properly, using 122,476 MLB team-games from 2000-2025. The trigger is any nine-inning game in which a team used 6 or more pitchers.
The answer is quieter than the story. In 9,970 such games the team allowed 4.59 runs next time out against 4.54 expected, a gap of +0.05, and won 50.1% of the time. Managers do lean on more arms the following day, but it barely touches the scoreboard. That is why my free baseball tips page still starts with the starting pitcher rather than last night's box score.
Aftermath ยท 01Runs allowed barely move after a heavy bullpen night
This chart lines up every pitcher count, from a complete game up to 7+, and shows how far next-game runs allowed and the full game total landed from expectation. The expectation already accounts for both teams' scoring rates, the park and the league, so whatever is left over is what the trigger adds. After 3 and 4 pitchers the runs-allowed gap is 0.00, which is what you hope to see from a well-built baseline.
The 6 pitcher row creeps up to +0.05 on runs allowed. The 7+ row shows only +0.02 on runs allowed but +0.14 on the game total. That is a fraction of a run, smaller than the swing a strong wind blowing out can give you on a single afternoon.
View the data: next-game runs vs expected by pitchers used
| Runs allowed | Game total | |
|---|---|---|
| 1 pitcher (complete game) (2,829) | โ0.15 runs | โ0.26 runs |
| 2 pitchers (10,787) | โ0.03 runs | โ0.04 runs |
| 3 pitchers (29,672) | 0 runs | โ0.02 runs |
| 4 pitchers (35,591) | 0 runs | +0.01 runs |
| 5 pitchers (22,261) | 0 runs | +0.04 runs |
| 6 pitchers (7,776) | +0.05 runs | +0.07 runs |
| 7+ pitchers (2,159) | +0.02 runs | +0.14 runs |
The more interesting end is the other one. After a complete game the next game ran โ0.15 on runs allowed and โ0.26 on the total. I read that as an ace effect rather than a rested bullpen, because teams that get nine innings from one arm usually have a starter whom the season baseline undersells.
Aftermath ยท 02Managers do reach for more arms the next day
Here the trigger does leave a footprint. Teams that used 7+ pitchers sent out 4.33 in the next game against a season average of 4.23, and after 6 pitchers the figure was 4.13, compared with 4.03 after 4. The ladder climbs steadily with the previous night's workload.
That matches what I see when I watch these games. Relievers who have pitched on consecutive days are unavailable, so the manager covers the middle innings with whoever is fresh, using more bodies for fewer outs each.
View the data: pitchers used in the next game
| Team season average about 4.01; 9-inning next games | |
|---|---|
| 1 pitcher (complete game) | 4 pitchers |
| 2 pitchers | 3.96 pitchers |
| 3 pitchers | 3.98 pitchers |
| 4 pitchers | 4.03 pitchers |
| 5 pitchers | 4.06 pitchers |
| 6 pitchers | 4.13 pitchers |
| 7+ pitchers | 4.33 pitchers |
Even the complete-game row shows 4.00 against a season average of 3.82, so the count rises at both ends of the scale. For a bettor, the key point is that extra pitchers did not turn into extra runs. The fresher, lesser arms are doing a serviceable job.
Aftermath ยท 03Next-game win rates sit inside the expected range
The dumbbell compares the win rate that season strength predicts with what actually happened, with a 95% range around each figure. After 6+ pitchers teams won 50.1% against 50.2% expected, a gap you cannot separate from noise. After 4 pitchers it was 49.8% against 49.9%.
The 7+ row even leans the other way, at 51.6% against 50.8% expected. The range there is ยฑ2.1 because the sample is small, so I would not build anything on it.
View the data: next-game win % by pitchers used the day before
| Expected | Actual | 95% range | |
|---|---|---|---|
| 1 pitcher (complete game) (2,831 games) | 50.8% | 51.4% | ยฑ1.8 |
| 2 pitchers (10,792 games) | 50.0% | 50.4% | ยฑ0.9 |
| 3 pitchers (29,705 games) | 50.0% | 49.5% | ยฑ0.6 |
| 4 pitchers (35,660 games) | 49.9% | 49.8% | ยฑ0.5 |
| 5 pitchers (22,319 games) | 50.0% | 50.5% | ยฑ0.7 |
| 6 pitchers (7,800 games) | 50.1% | 49.7% | ยฑ1.1 |
| 7+ pitchers (2,170 games) | 50.8% | 51.6% | ยฑ2.1 |
This is the main caveat of the whole file. The expected figures come from season strength, not from real betting prices. A market that already shades a tired bullpen might price these games differently, and this study cannot say whether that shading was right, only that team quality explains nearly everything.
Aftermath ยท 04Six next-game markets after a 6+ pitcher night
The table runs the 6+ trigger through the markets I actually look at. The moneyline, both run lines and the game total all sit within a fraction of a point of expectation: 35.6% against 35.8% on the โ1.5, 64.0% against 64.1% on the +1.5, and over 8.5 runs 51.6% of the time against 51.1% expected, a fair price of โ107.
The one line that stands out is the team's own scoring. These teams scored 4+ runs 58.4% of the time against 57.0% expected, and 5+ runs 44.4% against 44.0%. It is a small lean, and I treat it as a curiosity rather than an angle.
| Next-game market | Hit rate | Expected | Gap (pts) | Fair odds |
|---|---|---|---|---|
| Moneyline win | 50.1% | 50.2% | โ0.1 | โ100 |
| Run line โ1.5 (win by 2+) | 35.6% | 35.8% | โ0.2 | +181 |
| Run line +1.5 (lose by 1 or win) | 64.0% | 64.1% | โ0.1 | โ178 |
| Team total over 3.5 | 58.4% | 57.0% | +1.4 | โ140 |
| Team total over 4.5 | 44.4% | 44.0% | +0.4 | +125 |
| Game total over 8.5 | 51.6% | 51.1% | +0.5 | โ107 |
Flat-staking these teams at a strength-fair price would have returned โ0.6%, compared with +1.3% after a complete game. Neither is a real betting return, but the direction matches everything above.
What happens next
- Start with the starter
After a 6+ pitcher night the next game ran only +0.05 runs allowed above expectation. Do not let the bullpen story override the starting matchup.
- Expect a busier bullpen
Teams coming off 7+ pitchers used 4.33 the next day against 4.23 on average. That is useful for reading reliever usage, not for fading the side.
- Respect the complete-game team
After a complete game, runs allowed ran โ0.15 and the total โ0.26 against expectation, which most likely reflects an elite starter the baseline undersells.
Questions bettors ask
Do MLB teams allow more runs after using a lot of relievers?
Barely. After using 6+ pitchers in nine innings, teams allowed 4.59 runs in the next game against 4.54 expected, a gap of +0.05.
Should I fade a team the day after it emptied its bullpen?
The record gives no reason to. Those teams won the next game 50.1% of the time against 50.2% expected, which is effectively no difference.
Does the game total go over after a team uses 6+ pitchers?
Only very slightly more often than expected. The next game went over 8.5 runs 51.6% of the time against 51.1% expected, which works out to a fair over price of โ107.
I write baseball previews with a deep respect for pitching matchups, ballpark factors, and the lineup splits that decide most run totals.
View profile โ
