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Public Race Data

Fleet Feet Fresno Event Management

Fleet Feet Fresno Event Management

Go Race Productions

Go Race Productions
TWO CITIES MARATHON 2025

Misael Mendez

Bib: 237 •M •Age: 36

FresnoFresno, CA

The Two Cities Marathon logo
0:00
0:00
/ mi
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Overall
#0 / 716
Top 15%
Gender (Male)
#0 / 506
Top 19%
Age Group (M35-39)
#0 / 90
Top 21%
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
5:19
1.00 mi
Rank: #37
Start → 1M
5:19 | 5:20/mi
10K
44:59
6.21 mi
Rank: #102 (-65)
1M → 10K
39:40 | 7:37/mi
HALF
1:38:52
13.11 mi
Rank: #114 (-12)
10K → HALF
53:53 | 7:49/mi
18M
2:17:36
18.00 mi
Rank: #113 (+1)
HALF → 18M
38:44 | 7:56/mi
19.8M
2:31:14
19.80 mi
Rank: #114 (-1)
18M → 19.8M
13:38 | 7:35/mi
23M
2:57:23
23.00 mi
Rank: #109 (+5)
19.8M → 23M
26:09 | 8:11/mi
25.2M
3:16:50
25.20 mi
Rank: #101 (+8)
23M → 25.2M
19:27 | 8:51/mi
FINISH
3:27:43
26.22 mi
Rank: #105 (-4)
25.2M → FINISH
10:53 | 10:41/mi

Splits & Pacing

Detailed breakdown of your race performance at each timing point

Half Splits

1st HalfFaster
via HALF
Distance13.11 mi
Time1:38:52
Pace7:33 /mi
2nd Half
Distance13.11 mi
Time1:48:50
Pace8:19 /mi
📊Positive Split: 10.1% slower second half

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment PaceDiff
1M
1.00 mi06:37:465:195:205:19
5:20
-
10K
6.21 mi07:17:2644:597:1539:40
7:37
+2:17
HALF
13.11 mi08:11:191:38:527:3353:53
7:49
+0:12
18M
18.00 mi08:50:032:17:367:3938:44
7:56
+0:07
19.8M
19.80 mi09:03:412:31:147:3913:38
7:35
-0:21
23M
23.00 mi09:29:502:57:237:4326:09
8:11
+0:36
25.2M
25.20 mi09:49:173:16:507:4919:27
8:51
+0:40
FINISH
26.22 mi10:00:103:27:437:5610:53
10:41
+1:50

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

5:20 /mi

Average Pace

7:56 /mi

Slowest Pace

10:41 /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

5:19

3% of race

Time at Steady Pace

2:52:04

83% of race

Time at Slower Pace

30:20

15% of race

Average Pace: 7:55 /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 mi06:37:465:195:205:19
5:20
#37
10K
6.21 mi07:17:2644:597:1539:40
7:37
#102
HALF
13.11 mi08:11:191:38:527:3353:53
7:49
#114
18M
18.00 mi08:50:032:17:367:3938:44
7:56
#113
19.8M
19.80 mi09:03:412:31:147:3913:38
7:35
#114
23M
23.00 mi09:29:502:57:237:4326:09
8:11
#109
25.2M
25.20 mi09:49:173:16:507:4919:27
8:51
#101
FINISH
26.22 mi10:00:103:27:437:5610:53
10:41
#105
Faster pace
Steady pace
Slower pace

Rankings

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

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallMalesM35-39Seg. OverallSeg. MalesSeg. M35-39
1M1.00 mi1.00 mi3732437(Top 5%)32(Top 6%)4(Top 4%)
10K6.21 mi5.21 mi102-6593-6121-17121(Top 17%)112(Top 22%)23(Top 26%)
HALF13.11 mi6.90 mi114-12105-1223-2134(Top 19%)122(Top 24%)22(Top 24%)
18M18.00 mi4.89 mi113+1103+222+1128(Top 18%)116(Top 23%)21(Top 23%)
19.8M19.80 mi1.80 mi114-110321+1129(Top 18%)113(Top 22%)20(Top 22%)
23M23.00 mi3.20 mi109+598+520+1133(Top 19%)114(Top 23%)19(Top 21%)
25.2M25.20 mi2.20 mi101+890+818+274(Top 10%)64(Top 13%)9(Top 10%)
FINISH26.22 mi1.02 mi105-494-419-1281(Top 39%)207(Top 41%)35(Top 39%)

Segment Performance Analysis

Start → 1M

0.0 - 1.0 mi

Top 5%
×2
+1ft-12ft

Overall

37

Males

32

M35-39

4

1M→10K

1.0 - 6.2 mi

Top 17%
×3
+51ft-79ft

Overall

121

Males

112

M35-39

23

10K→HALF

6.2 - 13.1 mi

Top 19%
×2
+120ft-107ft

Overall

134

Males

122

M35-39

22

HALF→18M

13.1 - 18.0 mi

Top 18%
×1
+67ft-69ft

Overall

128

Males

116

M35-39

21

18M→19.8M

18.0 - 19.8 mi

Top 18%
×1
+30ft-36ft

Overall

129

Males

113

M35-39

20

19.8M→23M

19.8 - 23.0 mi

Top 19%
×2
+52ft-43ft

Overall

133

Males

114

M35-39

19

23M→25.2M

23.0 - 25.2 mi

Top 10%
×1
+37ft-26ft

Overall

74

Males

64

M35-39

9

25.2M→FINISH

25.2 - 26.2 mi

Top 39%
×1
+9ft-2ft

Overall

281

Males

207

M35-39

35

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
54*
Passed By
122
Net Change
-68
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start → 1M----#37
1M → 10K2489-65#37#102
10K → HALF5*17-12#102#114
HALF → 18M6*5+1#114#113
18M → 19.8M3*4-1#113#114
19.8M → 23M61+5#114#109
23M → 25.2M8*0+8#109#101
25.2M → FINISH2*6-4#101#105
TOTALS54*122-68

* 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

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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