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Fleet Feet Fresno Event Management

Fleet Feet Fresno Event Management

Go Race Productions

Go Race Productions
TWO CITIES MARATHON 2025

Gustavo Cerda Lozoya

Bib: 142 •M •Age: 30

Fresno, CA

The Two Cities Marathon logo
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Overall
#0 / 716
Gender (Male)
#0 / 506
Age Group (M30-34)
#0 / 83
Race Day Weather
74°/64°F
clear sky

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
1M
6:33
1.00 mi
Rank: #134
Start → 1M
6:33 | 6:34/mi
10K
46:37
6.21 mi
Rank: #128 (+6)
1M → 10K
40:04 | 7:42/mi
HALF
1:44:59
13.11 mi
Rank: #175 (-47)
10K → HALF
58:22 | 8:28/mi
18M
2:34:06
18.00 mi
Rank: #248 (-73)
HALF → 18M
49:07 | 10:03/mi
19.8M
2:54:06
19.80 mi
Rank: #276 (-28)
18M → 19.8M
20:00 | 11:07/mi
23M
3:46:58
23.00 mi
Rank: #398 (-122)
19.8M → 23M
52:52 | 16:32/mi
25.2M
4:36:09
25.20 mi
Rank: #484 (-86)
23M → 25.2M
49:11 | 22:22/mi
FINISH
4:54:52
26.22 mi
Rank: #501 (-17)
25.2M → FINISH
18:43 | 18:23/mi

Splits & Pacing

Detailed breakdown of your race performance at each timing point

Half Splits

1st HalfFaster
via HALF
Distance13.11 mi
Time1:44:59
Pace8:01 /mi
2nd Half
Distance13.11 mi
Time3:09:52
Pace14:29 /mi
📊Positive Split: 80.9% slower second half

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment PaceDiff
1M
1.00 mi06:37:006:336:346:33
6:34
-
10K
6.21 mi07:17:0446:377:3140:04
7:42
+1:08
HALF
13.11 mi08:15:261:44:598:0158:22
8:28
+0:46
18M
18.00 mi09:04:332:34:068:3449:07
10:03
+1:35
19.8M
19.80 mi09:24:332:54:068:4820:00
11:07
+1:04
23M
23.00 mi10:17:253:46:589:5352:52
16:32
+5:25
25.2M
25.20 mi11:06:364:36:0910:5849:11
22:22
+5:50
FINISH
26.22 mi11:25:194:54:5211:1618:43
18:23
-3:59

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

6:34 /mi

Average Pace

11:15 /mi

Slowest Pace

22:22 /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

46:37

16% of race

Time at Steady Pace

2:07:29

43% of race

Time at Slower Pace

2:00:46

41% of race

Average Pace: 11:15 /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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0mi6.6mi13.1mi19.7mi26.2mi
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
1M
1.00 mi06:37:006:336:346:33
6:34
#134
10K
6.21 mi07:17:0446:377:3140:04
7:42
#128
HALF
13.11 mi08:15:261:44:598:0158:22
8:28
#175
18M
18.00 mi09:04:332:34:068:3449:07
10:03
#248
19.8M
19.80 mi09:24:332:54:068:4820:00
11:07
#276
23M
23.00 mi10:17:253:46:589:5352:52
16:32
#398
25.2M
25.20 mi11:06:364:36:0910:5849:11
22:22
#484
FINISH
26.22 mi11:25:194:54:5211:1618:43
18:23
#501
Faster pace
Steady pace
Slower pace

Rankings

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

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallMalesM30-34Seg. OverallSeg. MalesSeg. M30-34
1M1.00 mi1.00 mi13411821134(Top 19%)118(Top 23%)21(Top 25%)
10K6.21 mi5.21 mi128+6119-121128(Top 18%)118(Top 23%)21(Top 25%)
HALF13.11 mi6.90 mi175-47158-3930-9222(Top 31%)195(Top 39%)37(Top 45%)
18M18.00 mi4.89 mi248-73212-5438-8398(Top 56%)324(Top 64%)58(Top 70%)
19.8M19.80 mi1.80 mi276-28235-2343-5478(Top 67%)369(Top 73%)63(Top 76%)
23M23.00 mi3.20 mi398-122322-8755-12686(Top 96%)485(Top 96%)78(Top 94%)
25.2M25.20 mi2.20 mi484-86376-5461-6713(Top 100%)505(Top 100%)84(Top 101%)
FINISH26.22 mi1.02 mi501-17380-461677(Top 95%)475(Top 94%)80(Top 96%)

Segment Performance Analysis

Start → 1M

0.0 - 1.0 mi

Top 19%
×2
+1ft-12ft

Overall

134

Males

118

M30-34

21

1M→10K

1.0 - 6.2 mi

Top 18%
×3
+51ft-79ft

Overall

128

Males

118

M30-34

21

10K→HALF

6.2 - 13.1 mi

Top 31%
×2
+120ft-107ft

Overall

222

Males

195

M30-34

37

HALF→18M

13.1 - 18.0 mi

Top 56%
×1
+67ft-69ft

Overall

398

Males

324

M30-34

58

18M→19.8M

18.0 - 19.8 mi

Top 67%
×1
+30ft-36ft

Overall

478

Males

369

M30-34

63

19.8M→23M

19.8 - 23.0 mi

Top 96%
×2
+52ft-43ft

Overall

686

Males

485

M30-34

78

23M→25.2M

23.0 - 25.2 mi

Top 100%
×1
+37ft-26ft

Overall

713

Males

505

M30-34

84

25.2M→FINISH

25.2 - 26.2 mi

Top 95%
×1
+9ft-2ft

Overall

677

Males

475

M30-34

80

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
74*
Passed By
441
Net Change
-367
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start → 1M----#134
1M → 10K5650+6#134#128
10K → HALF4*51-47#128#175
HALF → 18M2*75-73#175#248
18M → 19.8M3*31-28#248#276
19.8M → 23M0122-122#276#398
23M → 25.2M2*88-86#398#484
25.2M → FINISH7*24-17#484#501
TOTALS74*441-367

* Includes athletes who did not complete a segment (DNF/DNQ).

📊

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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Qualifying & Age Grade

See how your performance stacks up against qualifying standards

Activity Data

Upload your GPX file to see detailed activity metrics

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

.gpx files up to 10MB

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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