Diana Schultz

Bib: 384FAge: 35

San Rafael, CA

Fort Ord Trail Run - 25K logo
0:00
0:00
/ mi
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Overall
#0 / 180
Gender (Female)
#0 / 84
Top 45%
Age Group (F30-39)
Official
#0 / 19
Calculated (F35-39)
#0 / 8
Top 50%
Race Day Weather
53°/43°F
overcast clouds

Race Timeline and Course Information

Your journey through the course with elevation, pacing, and checkpoint details

⏱️ Race Timeline

Watch your race unfold from start to finish

Start
0:00:00
Race begins
Skyline
59:34
4.47 mi
Rank: #154
StartSkyline
59:34 | 13:20/mi
Toro Creek
2:01:44
10.08 mi
Rank: #122 (+32)
SkylineToro Creek
1:02:10 | 11:05/mi
Finish
3:27:42
16.16 mi
Rank: #110 (+12)
Toro CreekFinish
1:25:58 | 14:08/mi

Splits & Pacing

Detailed breakdown of your race performance at each timing point

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment PaceDiff
Skyline
4.47 mi09:05:3459:3413:2059:34
13:20
-
Toro Creek
10.08 mi10:07:442:01:4412:051:02:10
11:05
-2:15
Finish
16.16 mi11:33:423:27:4212:521:25:58
14:08
+3:03

Checkpoint Splits Visualizations

Explore your race data through different visual perspectives. Scroll to discover each visualization.

📈Pace Line

Pace Progression

Track your pace changes throughout the race. Dot colors mark your quickest to easiest segments, relative to your own pace.

Fastest Pace

11:05 /mi

Average Pace

12:51 /mi

Slowest Pace

14:08 /mi

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Fastest
Middle
Slowest
Average

📊Segments

Segment Time Comparison

Bar length shows time spent in each segment. Colors mark your faster to slower segments, relative to your own pace.

Time at Faster Pace

1:02:10

30% of race

Time at Steady Pace

59:34

29% of race

Time at Slower Pace

1:25:58

41% of race

Average Pace: 12:51 /mi

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Faster pace (< avg)
Steady pace (≈ avg)
Slower pace (> avg)

🎨Heatmap

Pace Heatmap

Where you sped up and eased off relative to your own pace across the race. Colors are relative to your own range, not to other runners.

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0mi4.0mi8.1mi12.1mi16.2mi
Pace:
Faster
Steady
Slower

Click or hover over segments to see details

Sparklines

Checkpoint Splits with Pace Trends

Enhanced split table showing pace trends through mini sparkline visualizations.

Overall Pace Trend

CheckpointDistanceTime of DayTimeAvg PaceSegmentPaceTrendRank
Skyline
4.47 mi09:05:3459:3413:2059:34
13:20
#154
Toro Creek
10.08 mi10:07:442:01:4412:051:02:10
11:05
#122
Finish
16.16 mi11:33:423:27:4212:521:25:58
14:08
#110
Faster pace
Steady pace
Slower pace

Rankings

Your position at each checkpoint and how you ranked in each segment

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallFemalesF30-39Seg. OverallSeg. FemalesSeg. F30-39
Skyline4.47 mi4.47 mi154696154(Top 86%)69(Top 82%)6(Top 32%)
Toro Creek10.08 mi5.61 mi122+3246+234+280(Top 44%)20(Top 24%)3(Top 16%)
Finish16.16 mi6.08 mi110+1238+84100(Top 56%)32(Top 38%)4(Top 21%)

Segment Performance Analysis

Start → Skyline

0.0 - 4.5 mi

Top 86%
×2
+342ft-978ft

Overall

154

Females

69

F30-39

6

Skyline→Toro Creek

4.5 - 10.1 mi

Top 44%
×2
+870ft-861ft

Overall

80

Females

20

F30-39

3

Toro Creek→Finish

10.1 - 16.2 mi

Top 56%
×2
+1276ft-652ft

Overall

100

Females

32

F30-39

4

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
46
Passed By
2
Net Change
+44
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start → Skyline----#154
SkylineToro Creek331+32#154#122
Toro CreekFinish131+12#122#110
TOTALS462+44
📊

Passing Analysis Visualizations

Explore your passing analysis through 5 different visualizations. Scroll to discover each one.

Time:
Category:

📈Position Graph

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🎨Heatmap Timeline

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🔄Passing Circle

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🌊Position Flow

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🏃Race Lanes

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AI Performance Report

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Your AI Performance Report includes:
  • Fatigue & pacing analysis
  • Finish time optimization
  • Qualification readiness
  • Segment-by-segment breakdown
  • Personalized race insights
  • Downloadable athlete report
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Activity Data

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Export & Support

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Export Track Data

Download your race performance as a GPX or TCX file to import into Strava, Garmin Connect, or other fitness apps.

Questions or issues regarding timing data?

If you notice any discrepancies in your timing data or have questions about your results, our support team can help.

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