Part 3 of 6
Boston Marathon Data Series
We analyzed 110,013 Boston Marathon finishers from 2022–2025 to answer the questions every marathoner asks after a tough race. For this third article, we drew a representative sample of 11,050 runners to examine pacing differences between men and women across every ability tier.
Also in this series
In Part 1 of this series, we reported a striking finding from the elite field: elite women negative split the Boston Marathon at nearly eight times the rate of elite men. The natural question was whether that advantage extended beyond the podium — whether everyday women at Boston also pace the course more intelligently than everyday men.
The answer is yes. And it isn’t close. We pulled a representative sample of 11,050 runners with confirmed sex classifications from our broader 110,013-finisher dataset, balanced across all four years and pace tiers. At every single ability level, women outpaced men — losing fewer minutes, crashing less often, and holding their discipline when the heat turned up. This interactive breakdown shows you exactly how wide the gap is, and what men can learn from it.
2.6%
Pacing Discipline Gap
11,050
Representative Sample
25%
More Women Negative Split
The Overall Picture
Across 5,954 men and 5,096 women from 2022–2025, the data is unambiguous. Women average a +7.2% positive split versus men’s +9.8%. Women are 25% more likely to negative split the course. And the average woman loses 7.3 minutes to second-half fade, compared to 9.7 minutes for the average man. That 2.4-minute gap is entirely a pacing difference — same course, same conditions, same day.
Men (n=5,954)
+9.8%
Average positive split
8% negative split rate
9.7 min avg time lost to fading
vs
Women (n=5,096)
+7.2%
Average positive split
10% negative split rate
7.3 min avg time lost to fading
The Gap at Every Tier
You might suspect the gap is driven by the sub-3:00 tier, where women are rare and self-selected for extreme competence. But the data shows the opposite: the pacing gap actually widens as finish times get slower.
Average Positive Split % by Gender and Pace Tier
Men
Women
Sub-3:00
+5.2% (n=2,904)
+3.6% (n=325)
3:00–3:30
+9.5% (n=1,455)
+4.9% (n=2,451)
3:30–4:00
+12.7% (n=596)
+7.4% (n=1,363)
4:00+
+22.1% (n=999)
+14.0% (n=957)
In the 3:00–3:30 tier — where sample sizes are large for both genders — men averaged +9.5% while women averaged +4.9%. That’s nearly double the positive split. At the 4:00+ tier, men averaged +22.1% versus women’s +14.0%. Same finish time window, radically different pacing strategies.
The minutes add up fast. In the 3:00–3:30 tier, men lost an average of 8.4 minutes to pacing, while women lost 4.0 — a gap of 4.4 minutes. In the 4:00+ tier, the gap balloons to 9.1 minutes. For a man running a 4:15, better pacing could save his qualification entirely.
The Minutes Gap
Raw positive split percentages don’t capture the human cost. Here’s how the pacing gap translates into actual minutes left on the course.
Average Minutes Lost to Positive Splitting: Men vs. Women by Tier
Men
Women
Gender gap
Sub-3:00
3.9 min
2.5 min
Δ 1.4 min
3:00–3:30
8.4 min
4.0 min
Δ 4.4 min
3:30–4:00
12.5 min
7.0 min
Δ 5.5 min
4:00+
26.7 min
17.7 min
Δ 9.1 min
The Crash Rate
The averages only tell part of the story. When we look at the extremes — runners whose positive split exceeds 15%, what we’d call a “crash” — the gender gap becomes even more stark.
Crash Rate (>15% Positive Split) by Gender and Tier
| Pace Tier | Men | Women | Ratio |
|---|
| Sub-3:00 |
6% |
1% |
6.0× |
| 3:00–3:30 |
22% |
6% |
3.7× |
| 3:30–4:00 |
34% |
15% |
2.3× |
| 4:00+ |
64% |
41% |
1.6× |
At sub-3:00, men were six times more likely to have a catastrophic fade. In the 3:00–3:30 tier, 22% of men crashed versus just 6% of women. Even at 4:00+, where conditions punish everyone, men crashed at a significantly higher rate.
The 3:00–3:30 Deep Dive: Same Finish, Different Race
The 3:00–3:30 tier is where the comparison is richest — 2,451 women and 1,455 men running near-identical finish times. These runners are comparable in ability. The only thing that differs is how they distribute their effort.
Split Distribution: 3:00–3:30 Tier
Negative
0–2%
2–5%
5–10%
10–15%
>15%
Men’s median split: +7.8% • Women’s median split: +4.6%
The shapes tell the story. Women cluster in the 0–5% range — disciplined, controlled. Men skew heavily toward 5–15%+, with nearly a quarter crashing entirely. Over half of women in this tier (53%) kept their split under 5%. Only 31% of men managed the same.
When the Heat Is On
The most revealing finding may be what happens when conditions deteriorate. In the cool, rainy 2023 edition, the gender pacing gap was modest. In the warm 2024 edition, it widened dramatically.
Gender Pacing Gap by Year
| Year | Conditions | Men Avg | Women Avg | Gap |
|---|
| 2022 | Cool, overcast |
+9.0% |
+7.2% |
1.8 pts |
| 2023 | Cool, rainy |
+5.9% |
+5.0% |
0.9 pts |
| 2024 | Warm, sunny |
+14.5% |
+9.3% |
5.2 pts |
| 2025 | Moderate |
+8.9% |
+6.9% |
2.0 pts |
The warm-weather amplifier: In 2023 (cool, rainy), the gender gap was just 0.9 percentage points. In 2024 (warm, sunny), it ballooned to 5.2 points — nearly six times wider. Men’s average split worsened by 8.6 points from 2023 to 2024. Women’s worsened by 4.3 points. Men appear to be significantly more affected by heat — or significantly less willing to adjust their pacing for it.
Why Do Women Pace Better?
The exercise science literature has proposed several explanations, and our data is consistent with all of them working in concert.
01
Metabolic Efficiency
Women oxidize proportionally more fat at a given exercise intensity, preserving glycogen stores longer. This provides a physiological buffer against the “wall” — the glycogen depletion that causes catastrophic fading in the marathon’s final miles.
02
Risk Calibration
Research on pacing behavior suggests women adopt more conservative opening strategies, even when controlling for ability level. Men appear more likely to gamble on an aggressive opening. At Boston, where the downhill start amplifies aggression’s cost, conservative instincts pay enormous dividends.
03
The Testosterone Factor
Race-day adrenaline creates a powerful cocktail that promotes faster-than-planned opening miles. Testosterone amplifies competitive arousal and risk-taking. On a course where the first 10 miles are downhill and the crowd energy is electric, this hormonal response may push men into unsustainable paces.
04
Heat Vulnerability
Men carry more muscle mass and generate more metabolic heat per stride. In warm conditions, this thermal disadvantage compounds the pacing gap — as our 2024 data clearly shows. Women’s lower metabolic heat production may provide a built-in buffer on hot days.
What If Men Paced Like Women?
The pacing gap isn’t about training differently or fueling differently. It’s about a decision made before mile 1. Here’s what men’s finish times would look like with women’s pacing discipline.
Projected Time Saved if Men Adopted Women’s Pacing
| Tier | Men’s Avg Time Lost | Women’s Avg Time Lost | Time Saved |
|---|
| Sub-3:00 |
3.9 min |
2.5 min |
1:24 |
| 3:00–3:30 |
8.4 min |
4.0 min |
4:24 |
| 3:30–4:00 |
12.5 min |
7.0 min |
5:30 |
| 4:00+ |
26.7 min |
17.7 min |
9:06 |
The bottom line: On Patriots’ Day, the course is the same for everyone. The weather is the same. The hills don’t care about gender. But the data shows, with overwhelming consistency, that women approach those 26.2 miles with more patience, more restraint, and more discipline — and they’re rewarded for it at every ability level. Gentlemen: run the first half like the women in your corral. You’ll thank the data later.
Data and Methodology: This analysis draws on a representative sample of 11,050 finishers from the 2022–2025 Boston Marathons, selected from our broader census of 110,013 total finishers. Sex classification was determined by cross-referencing overall placement with gender-specific placement in official BAA results, producing 5,954 male and 5,096 female runners (~54%/46%, consistent with Boston’s overall field composition). The sample is balanced across all four race years and pace tiers to ensure representative coverage. Positive split calculated as ((second half – first half) / first half) x 100. “Time lost” represents the difference between actual finish and theoretical even-pace finish (2x first half time). Analysis by Marathon Handbook.
