Fort Ord Trail Run - 25KMonterey, CA2/7/2026

Official Timing Data

Inside Trail Racing

Inside Trail Racing

UltraLive.net

UltraLive.net

William Conner

Bib: 476MAge: 35

Santa Clara, CA

Fort Ord Trail Run - 25K logo
0:00
0:00
per mile
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Overall
#0 / 180
Top 0.6%
Gender (Male)
#0 / 96
Top 1%
Age Group (M30-39)
#0 / 22
Top 5%
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
27:47
4.47 mi
Rank: #1
StartSkyline
27:47 | 6:14/mi
Toro Creek
1:05:01
10.08 mi
Rank: #1
SkylineToro Creek
37:14 | 6:39/mi
Finish
1:48:56
16.16 mi
Rank: #1
Toro CreekFinish
43:55 | 7:14/mi
Splits & Pacing

Detailed breakdown of your race performance at each timing point

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment Pace
Skyline
4.47 mi08:27:4727:476:1427:47
6:14
Toro Creek
10.08 mi09:05:011:05:016:2837:14
6:39
Finish
16.16 mi09:48:561:48:566:4543:55
7:14

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. Green = fastest, yellow = moderate, red = slowest segments.

Fastest Pace

6:14 /mi

Average Pace

6:35 /mi

Slowest Pace

7:14 /mi

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Fastest
Middle
Slowest
Average

📊Segments

Segment Time Comparison

Bar length shows time spent in each segment. Color indicates pace quality: green = fast pace, yellow = moderate, red = slow pace.

Time at Fast Pace

1:05:01

60% of race

Time at Moderate Pace

43:55

40% of race

Time at Slow Pace

0:00

0% of race

Average Pace: 6:44 /mi

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Fast pace (< avg)
Moderate pace (≈ avg)
Slow pace (> avg)

🎨Heatmap

Pace Heatmap

Visual intensity map of your pacing throughout the race. Green = fastest, yellow = moderate, red = slowest.

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0mi4.0mi8.1mi12.1mi16.2mi
Pace:
Fast
Moderate
Slow

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 mi08:27:4727:476:1427:47
6:14
#1
Toro Creek
10.08 mi09:05:011:05:016:2837:14
6:39
#1
Finish
16.16 mi09:48:561:48:566:4543:55
7:14
#1
Fast pace
Moderate pace
Slow pace
Rankings

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

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallMalesM30-39Seg. OverallSeg. MalesSeg. M30-39
Skyline4.47 mi4.47 mi1111(Top 0.6%)1(Top 1%)1(Top 5%)
Toro Creek10.08 mi5.61 mi1111(Top 0.6%)1(Top 1%)1(Top 5%)
Finish16.16 mi6.08 mi1111(Top 0.6%)1(Top 1%)1(Top 5%)

Segment Performance Analysis

Start → Skyline

0.0 - 4.5 mi

Top 0.6%
×2.3
+342ft-978ft

Overall

1

Males

1

M30-39

1

Skyline→Toro Creek

4.5 - 10.1 mi

Top 0.6%
×2
+870ft-861ft

Overall

1

Males

1

M30-39

1

Toro Creek→Finish

10.1 - 16.2 mi

Top 0.6%
×2.4
+1276ft-652ft

Overall

1

Males

1

M30-39

1

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
0
Passed By
0
Net Change
0
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start → Skyline----#1
SkylineToro Creek000#1#1
Toro CreekFinish000#1#1
TOTALS000
📊

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

No passing activity recorded.

🌊Position Flow

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🏃Race Lanes

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Activity Data

Upload your GPX file to see detailed activity metrics

Upload your GPX file

Supports Garmin, Apple Watch, Polar, Suunto, COROS, Strava, and other apps

.gpx files up to 10MB

Export & Support

Download your data, get help, and share your feedback

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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