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Boys - Clarksburg XC Ranking Team Analytics

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416 rankings published • 1,929 athletes ranked • 30,000 race performances • 750,000 calculations • 0 opinions

All-Time Analytics: Boys Girls Boys and Girls Combined

Mocorunning's XC rankings date back to the 2006 season. Click a team name to see current season stats versus all-time stats for this school.

Boys - All-Time Highest End-of-Season (EOS) Z-ScoresA

Rank Name School Season Points EOS Rank Z-Score
1 Will Bertrand Clarksburg 2012 241.50 1 3.36
2 Zachary Worthman Clarksburg 2018 196.70 6 1.82
3 Ayaan Ahmad Clarksburg 2025 189.50 8 1.75
4 Ayaan Ahmad Clarksburg 2024 159.10 6 1.60
5 Zachary Worthman Clarksburg 2017 161.20 13 1.21
6 Jackson Kilosky Clarksburg 2017 122.70 24 0.60
7 Ayaan Ahmad Clarksburg 2023 98.50 23 0.47
8 Jimmy Larkin Clarksburg 2013 78.00 31 0.18
9 Sam Eig Clarksburg 2019 80.60 31 0.17
10 Zachary Worthman Clarksburg 2016 71.10 35 0.08
11 Jatin Narang Clarksburg 2009 69.60 24 0.07
12 Dylan Underwood Clarksburg 2023 77.50 29 0.05

Boys - Largest Consecutive Season Z-Score ImprovementC

Rank Name School Season Leap Z1 Z2 Improvement
1 Ayaan Ahmad Clarksburg 2022 -> 2023 -1.05 0.47 +1.52
2 Jimmy Larkin Clarksburg 2012 -> 2013 -1.07 0.18 +1.25
3 Sam Eig Clarksburg 2018 -> 2019 -1.01 0.17 +1.18
3 Jackson Kilosky Clarksburg 2016 -> 2017 -0.58 0.60 +1.18
5 Ayaan Ahmad Clarksburg 2023 -> 2024 0.47 1.60 +1.13
5 Zachary Worthman Clarksburg 2016 -> 2017 0.08 1.21 +1.13
7 Zachary Worthman Clarksburg 2017 -> 2018 1.21 1.82 +0.61
8 Jatin Narang Clarksburg 2008 -> 2009 -0.47 0.07 +0.54
9 Jackson Kilosky Clarksburg 2015 -> 2016 -0.82 -0.58 +0.24
10 Ayaan Ahmad Clarksburg 2024 -> 2025 1.60 1.75 +0.15
11 Lucas Fernandez Clarksburg 2017 -> 2018 -0.91 -0.82 +0.09
12 Russ Daley Clarksburg 2009 -> 2010 -0.69 -0.63 +0.06

Boys - Greatest Career Z-Score ImprovementD

Rank Name School Career Leap Z1 Z2 Improvement
1 Ayaan Ahmad Clarksburg 2022 -> 2025 -1.05 1.75 +2.80
2 Zachary Worthman Clarksburg 2016 -> 2018 0.08 1.82 +1.74
3 Jackson Kilosky Clarksburg 2015 -> 2017 -0.82 0.60 +1.42
4 Jimmy Larkin Clarksburg 2012 -> 2013 -1.07 0.18 +1.25
5 Sam Eig Clarksburg 2018 -> 2019 -1.01 0.17 +1.18
6 Jatin Narang Clarksburg 2008 -> 2009 -0.47 0.07 +0.54
7 Lucas Fernandez Clarksburg 2017 -> 2018 -0.91 -0.82 +0.09
8 Russ Daley Clarksburg 2009 -> 2010 -0.69 -0.63 +0.06

Boys - All-Time Most Weeks Ranked #1¹

Rank Name School Grad Year Weeks
1 Will Bertrand Clarksburg 2013 10

Boys - All-Time Most Weeks Ranked Top 10¹

Rank Name School Grad Year Weeks
1 Ayaan Ahmad Clarksburg 2026 20
2 Zachary Worthman Clarksburg 2019 17
3 Will Bertrand Clarksburg 2013 10

Boys - All-Time Highest Point Totals - Freshmen²

Rank Name School Date Ranking Points
1 Ayaan Ahmad Clarksburg 11/06/2022 #58 30.6

Boys - All-Time Highest Ranked Freshmen⁴

Rank Name School Date Achieved Peak Rank
1 Ayaan Ahmad Clarksburg 10/23/2022 #58

Boys - All-Time Highest Ranked Freshmen - Final Season Rankings Only⁴

Rank Name School Date Achieved EOS Rank
1 Ayaan Ahmad Clarksburg 11/13/2022 #70

Boys - All-Time Highest Debut Ranking - Freshmen⁵

Rank Name School Grade Date Debut Rank
1 Ayaan Ahmad Clarksburg 9 10/23/2022 #64

Boys - All-Time Greatest Individual Ranking Improvement in a Week⁶

Rank Week Name School Grade R1 R2 Improvement
1 2016 Week 8 Jackson Kilosky Clarksburg 11 91 46 +45 spots
2 2006 Week 6 Ramon Munoz Clarksburg 11 68 50 +18 spots
3 2015 Week 6 Mir Pandya Clarksburg 12 60 43 +17 spots
4 2013 Week 2 Jimmy Larkin Clarksburg 12 44 28 +16 spots
4 2016 Week 7 Zachary Worthman Clarksburg 10 40 24 +16 spots
6 2017 Week 2 Jackson Kilosky Clarksburg 12 35 20 +15 spots
7 2015 Week 9 Mir Pandya Clarksburg 12 59 45 +14 spots
8 2013 Week 7 Raquon Alli Clarksburg 12 64 51 +13 spots
9 2015 Week 2 Michael Thomas Clarksburg 12 29 18 +11 spots
9 2017 Week 2 Zachary Worthman Clarksburg 11 21 10 +11 spots
11 2023 Week 8 Ayaan Ahmad Clarksburg 10 30 20 +10 spots
12 2006 Week 4 Ramon Munoz Clarksburg 11 77 68 +9 spots
12 2007 Week 7 Ramon Munoz Clarksburg 12 51 42 +9 spots
12 2009 Week 3 Jatin Narang Clarksburg 12 31 22 +9 spots
12 2017 Week 10 Lucas Fernandez Clarksburg 11 76 67 +9 spots
12 2019 Week 2 Sam Eig Clarksburg 12 48 39 +9 spots
17 2024 Week 4 Dylan Underwood Clarksburg 12 48 40 +8 spots
18 2007 Final Ramon Munoz Clarksburg 12 46 39 +7 spots
18 2010 Week 10 Russ Daley Clarksburg 12 42 35 +7 spots
18 2022 Week 10 Ayaan Ahmad Clarksburg 9 65 58 +7 spots
18 2026 Week 4 Craig Brameyer Clarksburg 10 56 49 +7 spots
22 2017 Week 4 Jackson Kilosky Clarksburg 12 21 15 +6 spots
22 2018 Week 7 Lucas Fernandez Clarksburg 12 61 55 +6 spots
22 2019 Week 3 Sam Eig Clarksburg 12 39 33 +6 spots
25 2006 Final Ramon Munoz Clarksburg 11 45 40 +5 spots
25 2009 Week 5 Jatin Narang Clarksburg 12 21 16 +5 spots
25 2012 Week 3 Kyle Jordan Clarksburg 12 18 13 +5 spots
25 2013 Week 5 Jimmy Larkin Clarksburg 12 31 26 +5 spots
25 2013 Week 9 Jeremy Clink Clarksburg 11 82 77 +5 spots
25 2016 Week 2 Jackson Kilosky Clarksburg 11 45 40 +5 spots
25 2019 Week 4 Sam Eig Clarksburg 12 33 28 +5 spots
25 2023 Week 3 Ayaan Ahmad Clarksburg 10 41 36 +5 spots
25 2023 Week 4 Ayaan Ahmad Clarksburg 10 36 31 +5 spots
25 2023 Final Dylan Underwood Clarksburg 11 34 29 +5 spots
25 2024 Week 2 Ayaan Ahmad Clarksburg 11 13 8 +5 spots

Boys - All-Time Most Ranking Entries and Re-Entries⁷

Rank Name School Grad Year Ranking Entries
No records found matching these criteria.

Boys - All-Time #1 Ranked Athletes Per School⁸

Rank School Unique Athletes
1 Clarksburg 1

Boys - All-Time Top 10 Ranked Athletes Per School⁸

Rank School Unique Athletes
1 Clarksburg 3

Boys - All-Time Ranked Athletes Per School⁸

Rank School Unique Athletes
1 Clarksburg 26

Boys - All-Time Athlete-Weeks Ranked #1 Per School⁹

Rank School Athlete-Weeks
1 Clarksburg 10

Boys - All-Time Athlete-Weeks Ranked Top 10 Per School⁹

Rank School Athlete-Weeks
1 Clarksburg 47

Boys - All-Time Athlete-Weeks Ranked Per School⁹

Rank School Athlete-Weeks
1 Clarksburg 338

Boys - Most Athletes From One Team in a Week¹⁰

Rank Week School Athletes Ranked
1 2017 Week 7 Clarksburg 5 athletes
2 2013 Week 5 Clarksburg 4 athletes
3 2018 Week 6 Clarksburg 4 athletes
4 2012 Week 1 Clarksburg 3 athletes
5 2016 Week 10 Clarksburg 3 athletes
6 2006 Week 2 Clarksburg 2 athletes
7 2007 Preseason Clarksburg 2 athletes
8 2008 Week 9 Clarksburg 2 athletes
9 2009 Week 4 Clarksburg 2 athletes
10 2014 Week 1 Clarksburg 2 athletes
11 2015 Week 2 Clarksburg 2 athletes
12 2019 Week 2 Clarksburg 2 athletes
13 2023 Week 7 Clarksburg 2 athletes
14 2024 Week 1 Clarksburg 2 athletes
15 2025 Final Clarksburg 2 athletes
16 2026 Week 3 Clarksburg 2 athletes
17 2010 Week 1 Clarksburg 1 athletes
18 2021 Week 6 Clarksburg 1 athletes
19 2022 Week 8 Clarksburg 1 athletes

Boys - Peak Ranked Athletes in a Week by Season

2006
2
2007
2
2008
2
2009
2
2010
1
2011
0
2012
3
2013
4
2014
2
2015
2
2016
3
2017
5
2018
4
2019
2
2020
0
2021
1
2022
1
2023
2
2024
2
2025
2
2026
2


Mind the toggle! Comparing boys and girls is not usually how we think about things, but this page offers boys and girls as a combined query option because it is very interesting to those who cherish school program performance.

AAll-Time Highest End-of-Season (EOS) Z-Scores - Z-score is a universally accepted statistic used to measure how far an individual performance deviates from the group baseline, normalized by the overall volatility or spread of the group. The Z-score is the number of standard deviations a specific data point is above or below the mean of its dataset or population. A z-score is a way to measure how normal or unusual a specific number is compared to the rest of the group. In this cross country ranking, it is how much a runner excels compared to other ranked runners (who are all considered very good). A negative Z-score is below average, which is fine in this context since there is a high bar to become ranked at all. A z-score of zero is average for a ranked runner. Z-Score = 1 is "Above Average": The value is 1 standard deviation above the mean. Z-Score = 2 is "Unusual / Exceptional": The value is 2 standard deviations above the mean. The runner has outperformed 98% of the group. Z-Score = 3 is "Extremely Rare / An Outlier": The value is 3 standard deviations above the mean. This is an extreme rarity. The runner outperformed 99.9% of the group. In data science and statistics, any data point with a Z-score of 3 or higher is officially flagged as an outlier - a number so high it almost looks like a typo. Z-Score = 4 is "Legendary": The value is 4 standard deviations above the mean. This is a "Black Swan" event. The odds of a Z-score reaching 4 naturally in a normal distribution are about 1 in 30,000. If you see a 4, it means the performance completely shattered the standard scale of competition.

More: Z-score is calculated using end-of-season (EOS) points. The ranking's point scale has shifted over the decades which makes a simple point total metric an unreliable indicator of best runners; however, Z-score remains a reliable metric for comparing the dominance of runners across the decades. Z-score is still limited by the same factors that limit this ranking system as a whole. Did the elite runner run their hardest in every race, or did they jog a few races to get to the post season? Did the elite runner log enough honest races by the state championship meet for their score to reflect their maximum ability? For the truly elite who value post-season races above all else, not always. Conversely, it is possible for elite athletes to "pad the stats" by beating up on a "weak" crop of ranked runners during any given year. Hence, why Z-score is a dominance metric.

BHypothetical All-Time Team Clash Based on Z-Score - This section uses only the highest end-of-season Z-score per athlete. The scoring table ranks runners by highest end-of-season (EOS) Z-score and uses standard cross country scoring of five scoring runners and two displacers. In this table, athletes are grouped by season so it essentially ranks the best single season teams in the ranking's history based on Z-score. Deviating from classic cross-country scoring, runners from incomplete teams are counted as displacers. This makes it more fun to look at for schools that do not have many years with 5+ ranked runners. Click the scoring breakdown to see the names of the athletes who comprise the top five from that school for that given year. Most people will probably prefer to see the best boys teams or girls teams. If you happened to select "Boys and Girls" from the toggle menu, it will indeed select a team of boys and girls from a given year. Boys and girls can compete on a level playing field of standard deviations. Take it or leave it! Remember from above that Z-score is a dominance metric which is a statistical proxy for best runners compared to the mean if every runner runs their hardest in every race.

CLargest Consecutive Season Z-Score Improvement calculates each runner's end-of-season Z-score year by year and compares each season to the immediately previous season only. It keeps only positive gains, then ranks the largest increases first to highlight the biggest single-year jumps in dominance.

DGreatest Career Z-Score Improvement evaluates multi-year development across an athlete's full tracked career window by comparing debut season end-of-season (EOS) Z-score to career end-of-season Z-score. It includes only positive growth with at least two varsity seasons and ranks the largest career gains first.

¹The Most Weeks Ranked stat is based on the # of rankings published. It is not based on calendar weeks. It is not consecutive weeks. The number of rankings published each season varied. There are typically 10 to 12 rankings published each season.

²The Highest All-Time Point Totals stat is not meant to infer a hierarchy of best runners. The point system evolves and cannot be compared across seasons. 2006 had inflated point totals relative to subsequent seasons due scoring changes after the first full season. The pandemic also shook things up with just a few races run in spring 2021. The ranking shown in this list is the rank at the time of the peak point total and not necessarily the peak ranking of that runner.

³The All-Time Highest Ranked Athlete stat displays the highest peak ranking by the top athletes for this school. The 'final season ranking' only includes rankings from the final ranking published each season. The final ranking of each season incorporates the most data and emphasizes championship races. EOS = End of Season. In the 'final season ranking' list, an athlete may be listed once per season.

⁴The All-Time Highest Ranked Freshmen stat lists the peak ranking for athletes in grade 9. The 'final season ranking' only includes rankings from the final ranking published each season. The final ranking of each season incorporates the most data and emphasizes championship races. EOS = End of Season.

⁵The Highest Debut Ranking stat shows the highest rankings at which individual athletes first appeared in the rankings. The original 2006 preseason rankings are excluded.

⁶The Greatest Individual Ranking Improvement in a Week identifies and ranks the individuals with the greatest ranking improvement in a single week. The athlete must be ranked both weeks to be considered. It excludes newly ranked runners. It excludes the ranking transition from final season rankings to the next preseason rankings.

⁷Progress is not linear for everyone. The Most Ranking Entries and Re-Entries stat shows athletes that had setbacks and kept working their way back onto the ranking at least two times after their initial debut. It is very common for athletes to fall off the rankings and get re-added later.

⁸The Most Ranked Athletes Per School stat adds the total number of unique athletes per school to ever achieve a #1 ranking, a top 10 ranking, or to ever appear on the ranking.

⁹The Most Athlete-Weeks Per School stat adds the total number of weeks that all individual athletes for each school were ranked #1, top 10, or ever ranked. For example, if athlete 'X' was ranked for 30 weeks in their high school career, and athlete 'Y' from the same school was ranked for 15 weeks in their high school career, that school would have accumulated 45 all-time athlete-weeks.

¹⁰The Most Athletes Ranked From One Team in a Week identifies and ranks the teams that have had the most runners ranked simultaneously. A team may be listed once for each year. The earliest week in the season where the team achieved the most runners for the season is shown.

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