Magda Gamez

Bib: 6069 β€’F β€’Age: 60

Columbus, OH

Chicago 13.1 logo
0:00
0:00
/ mi
Masters
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Overall
#0 / 3708
Gender (Female)
#0 / 1805
Top 42%
Masters (Masters Women)
#0 / 613
Top 31%
Age Group (F60-64)
#0 / 34
Top 18%
Race Day Weather
74Β°/64Β°F
scattered 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
5K
29:58
3.11 mi
Rank: #1912
Start β†’ 5K
29:58 | 9:39/mi
8K
48:01
4.97 mi
Rank: #1848 (+64)
5K β†’ 8K
18:03 | 9:41/mi
10K
1:00:02
6.21 mi
Rank: #1860 (-12)
8K β†’ 10K
12:01 | 9:41/mi
15K
1:34:46
9.32 mi
Rank: #1946 (-86)
10K β†’ 15K
34:44 | 11:11/mi
FINISH
2:13:15
13.11 mi
Rank: #2085 (-139)
15K β†’ FINISH
38:29 | 10:10/mi

Splits & Pacing

Detailed breakdown of your race performance at each timing point

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment PaceDiff
5K
3.11 mi07:34:4229:589:3929:58
9:39
-
8K
4.97 mi07:52:4548:019:4018:03
9:41
+0:02
10K
6.21 mi08:04:461:00:029:4012:01
9:41
0:00
15K
9.32 mi08:39:301:34:4610:1134:44
11:11
+1:30
FINISH
13.11 mi09:17:592:13:1510:1038:29
10:10
-1:01

Checkpoint Splits Visualizations

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

πŸ“ˆPace 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

9:39 /mi

Average Pace

10:10 /mi

Slowest Pace

11:11 /mi

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Fastest
Middle
Slowest
Average

πŸ“ŠSegments

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

1:38:31

74% of race

Time at Steady Pace

34:44

26% of race

Time at Slower Pace

0:00

0% of race

Average Pace: 10:10 /mi

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Faster pace (< avg)
Steady pace (β‰ˆ 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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0mi3.3mi6.6mi9.8mi13.1mi
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
5K
3.11 mi07:34:4229:589:3929:58
9:39
#1912
8K
4.97 mi07:52:4548:019:4018:03
9:41
#1848
10K
6.21 mi08:04:461:00:029:4012:01
9:41
#1860
15K
9.32 mi08:39:301:34:4610:1134:44
11:11
#1946
FINISH
13.11 mi09:17:592:13:1510:1038:29
10:10
#2085
Faster pace
Steady pace
Slower pace

Rankings

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

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallFemalesF60-64Seg. OverallSeg. FemalesSeg. F60-64
5K3.11 mi3.11 mi191266552089(Top 56%)753(Top 42%)6(Top 18%)
8K4.97 mi1.86 mi1848+64632+3351796(Top 48%)608(Top 34%)5(Top 15%)
10K6.21 mi1.24 mi1860-12639-751969(Top 53%)687(Top 38%)5(Top 15%)
15K9.32 mi3.11 mi1946-86676-3752089(Top 56%)753(Top 42%)6(Top 18%)
FINISH13.11 mi3.79 mi2085-139757-816-12346(Top 63%)936(Top 52%)9(Top 26%)

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
146
Passed By
319
Net Change
-173
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start β†’ 5K----#1912
5K β†’ 8K8824+64#1912#1848
8K β†’ 10K1628-12#1848#1860
10K β†’ 15K33119-86#1860#1946
15K β†’ FINISH9148-139#1946#2085
TOTALS146319-173
πŸ“Š

Passing Analysis Visualizations

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

Time:
Category:

πŸ“ˆPosition Graph

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🎨Heatmap Timeline

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πŸ”„Passing Circle

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🌊Position Flow

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πŸƒRace 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

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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