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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

Ramiro Mendoza

Bib: 218 •M •Age: 28

Fresno, CA

The Two Cities Marathon logo
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Overall
#0 / 716
Gender (Male)
#0 / 506
Age Group (M25-29)
#0 / 95
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
6:51
1.00 mi
Rank: #182
Start → 1M
6:51 | 6:52/mi
10K
52:06
6.21 mi
Rank: #301 (-119)
1M → 10K
45:15 | 8:41/mi
HALF
1:53:05
13.11 mi
Rank: #290 (+11)
10K → HALF
1:00:59 | 8:51/mi
18M
2:39:57
18.00 mi
Rank: #298 (-8)
HALF → 18M
46:52 | 9:35/mi
19.8M
2:56:59
19.80 mi
Rank: #303 (-5)
18M → 19.8M
17:02 | 9:28/mi
23M
3:30:30
23.00 mi
Rank: #304 (-1)
19.8M → 23M
33:31 | 10:29/mi
25.2M
4:19:12
25.20 mi
Rank: #408 (-104)
23M → 25.2M
48:42 | 22:09/mi
FINISH
4:42:56
26.22 mi
Rank: #446 (-38)
25.2M → FINISH
23:44 | 23:18/mi

Splits & Pacing

Detailed breakdown of your race performance at each timing point

Half Splits

1st HalfFaster
via HALF
Distance13.11 mi
Time1:53:05
Pace8:38 /mi
2nd Half
Distance13.11 mi
Time2:49:50
Pace12:58 /mi
📊Positive Split: 50.2% slower second half

Checkpoint Splits

CheckpointDistanceTime of DayTimeAvg PaceSegment TimeSegment PaceDiff
1M
1.00 mi06:38:536:516:526:51
6:52
-
10K
6.21 mi07:24:0852:068:2445:15
8:41
+1:49
HALF
13.11 mi08:25:071:53:058:381:00:59
8:51
+0:10
18M
18.00 mi09:11:592:39:578:5446:52
9:35
+0:44
19.8M
19.80 mi09:29:012:56:598:5717:02
9:28
-0:07
23M
23.00 mi10:02:323:30:309:1033:31
10:29
+1:01
25.2M
25.20 mi10:51:144:19:1210:1848:42
22:09
+11:40
FINISH
26.22 mi11:14:584:42:5610:4823:44
23:18
+1:09

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

6:52 /mi

Average Pace

10:48 /mi

Slowest Pace

23:18 /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

0:00

0% of race

Time at Steady Pace

3:30:30

74% of race

Time at Slower Pace

1:12:26

26% of race

Average Pace: 10:47 /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.

Loading...
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 mi06:38:536:516:526:51
6:52
#182
10K
6.21 mi07:24:0852:068:2445:15
8:41
#301
HALF
13.11 mi08:25:071:53:058:381:00:59
8:51
#290
18M
18.00 mi09:11:592:39:578:5446:52
9:35
#298
19.8M
19.80 mi09:29:012:56:598:5717:02
9:28
#303
23M
23.00 mi10:02:323:30:309:1033:31
10:29
#304
25.2M
25.20 mi10:51:144:19:1210:1848:42
22:09
#408
FINISH
26.22 mi11:14:584:42:5610:4823:44
23:18
#446
Faster pace
Steady pace
Slower pace

Rankings

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

Checkpoint and Segment Rankings

CheckpointDistanceSeg. DistOverallMalesM25-29Seg. OverallSeg. MalesSeg. M25-29
1M1.00 mi1.00 mi18216040182(Top 25%)160(Top 32%)40(Top 42%)
10K6.21 mi5.21 mi301-119260-10058-18304(Top 42%)260(Top 51%)55(Top 58%)
HALF13.11 mi6.90 mi290+11250+1055+3288(Top 40%)249(Top 49%)53(Top 56%)
18M18.00 mi4.89 mi298-8254-454+1343(Top 48%)283(Top 56%)55(Top 58%)
19.8M19.80 mi1.80 mi303-5257-354333(Top 47%)269(Top 53%)57(Top 60%)
23M23.00 mi3.20 mi304-1253+452+2338(Top 47%)264(Top 52%)55(Top 58%)
25.2M25.20 mi2.20 mi408-104325-7266-14712(Top 99%)504(Top 100%)95(Top 100%)
FINISH26.22 mi1.02 mi446-38351-2667-1707(Top 99%)498(Top 98%)94(Top 99%)

Segment Performance Analysis

Start → 1M

0.0 - 1.0 mi

Top 25%
×2
+1ft-12ft

Overall

182

Males

160

M25-29

40

1M→10K

1.0 - 6.2 mi

Top 42%
×3
+51ft-79ft

Overall

304

Males

260

M25-29

55

10K→HALF

6.2 - 13.1 mi

Top 40%
×2
+120ft-107ft

Overall

288

Males

249

M25-29

53

HALF→18M

13.1 - 18.0 mi

Top 48%
×1
+67ft-69ft

Overall

343

Males

283

M25-29

55

18M→19.8M

18.0 - 19.8 mi

Top 47%
×1
+30ft-36ft

Overall

333

Males

269

M25-29

57

19.8M→23M

19.8 - 23.0 mi

Top 47%
×2
+52ft-43ft

Overall

338

Males

264

M25-29

55

23M→25.2M

23.0 - 25.2 mi

Top 99%
×1
+37ft-26ft

Overall

712

Males

504

M25-29

95

25.2M→FINISH

25.2 - 26.2 mi

Top 99%
×1
+9ft-2ft

Overall

707

Males

498

M25-29

94

Passing

Athletes you passed and who passed you throughout the race

Passing Analysis

Category:
Athletes Passed
93*
Passed By
357
Net Change
-264
SegmentAthletes PassedPassed ByNet ChangeStart RankEnd Rank
Start → 1M----#182
1M → 10K32151-119#182#301
10K → HALF26*15+11#301#290
HALF → 18M15*23-8#290#298
18M → 19.8M6*11-5#298#303
19.8M → 23M78-1#303#304
23M → 25.2M2*106-104#304#408
25.2M → FINISH5*43-38#408#446
TOTALS93*357-264

* 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

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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