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Girls - Good Counsel XC Ranking Team Analytics

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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.

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

Rank Name School Season Points EOS Rank Z-Score
1 Amelia Avila Good Counsel 2025 432.60 1 3.36
2 Leah Stephens Good Counsel 2022 478.90 1 2.75
3 Leah Stephens Good Counsel 2021 388.00 2 2.14
4 Claudia Wendt Good Counsel 2015 280.00 5 1.88
5 Nora McCall Good Counsel 2006 332.80 6 1.86
6 Taylor Kozam Good Counsel 2012 264.10 9 1.62
7 Katie Koenig Good Counsel 2008 243.60 11 1.56
8 Claudia Wendt Good Counsel 2014 258.10 9 1.52
9 Amelia Avila Good Counsel 2023 236.60 9 1.28
10 Katie Koenig Good Counsel 2009 242.00 12 1.23
11 Taylor Kozam Good Counsel 2011 210.30 11 1.18
12 Amelia Avila Good Counsel 2024 232.30 12 1.09
13 Cassidy Burke Good Counsel 2013 185.50 22 0.91
14 Leah Stephens Good Counsel 2020 207.10 7 0.84
15 Megan Crilly Good Counsel 2015 180.70 21 0.78
16 Stephanie Bardon Good Counsel 2006 214.70 14 0.73
17 Josephine Kemp Good Counsel 2024 191.80 18 0.68
18 Megan Crilly Good Counsel 2013 148.50 31 0.47
18 Josephine Kemp Good Counsel 2025 156.40 16 0.47
20 Liz Guidara Good Counsel 2006 186.20 21 0.46
21 Sophie Dean Good Counsel 2011 142.50 25 0.37
22 Stephanie Bardon Good Counsel 2007 175.80 24 0.36
23 Josephine Kemp Good Counsel 2023 153.50 24 0.35
24 Sarah Siegle Good Counsel 2022 185.40 21 0.32
25 Cassidy Burke Good Counsel 2010 122.30 21 0.30
26 Maggie Ralston Good Counsel 2016 133.80 28 0.20
27 Beth Conlon Good Counsel 2008 112.50 25 0.10
28 Isabella Sauro Good Counsel 2019 117.80 31 0.04
29 Ellen Tuttle Good Counsel 2016 118.80 30 0.03
30 Cassidy Burke Good Counsel 2012 123.40 33 0.02
31 Beth Conlon Good Counsel 2006 139.30 27 0.01

Girls - Hypothetical All-Time Team Clash Based on Z-ScoreB

Rank School Season Scoring Breakdown Team Score
1 Good Counsel 2006
5+16+19+30+44
Nora McCall (5), Stephanie Bardon (16), Liz Guidara (19), Beth Conlon (30), Kelly Riely (44)
114
2 Good Counsel 2015
4+15+37+40+47
Claudia Wendt (4), Megan Crilly (15), Delia Launi (37), Maggie Ralston (40), Erin Pocratsky (47)
143
3 Good Counsel 2025
1+18+34+49+53
Amelia Avila (1), Josephine Kemp (18), Ava Blackburn (34), Hope Gaskill (49), Chaselyn Sowards (53)
155
4 Good Counsel 2012
6+29+32+35+63
Taylor Kozam (6), Cassidy Burke (29), Megan Crilly (32), Sophie Dean (35), Lindsay Braviak (63)
165
5 Good Counsel 2011
11+20+36+46+67
Taylor Kozam (11), Sophie Dean (20), Cassidy Burke (36), Lindsay Braviak (46), Karynne Campbell (67)
180
6 Good Counsel 2013
13+18+39+57+66
Cassidy Burke (13), Megan Crilly (18), Cosette Riely (39), Delia Launi (57), Rachel Pocratsky (66)
193
7 Good Counsel 2014
8+48+50+57+57
Claudia Wendt (8), Megan Crilly (48), Maggie Ralston (50), Elizabeth Kaniecki (57), Delia Launi (57)
220

Girls - Largest Consecutive Season Z-Score ImprovementC

Rank Name School Season Leap Z1 Z2 Improvement
1 Amelia Avila Good Counsel 2024 -> 2025 1.09 3.36 +2.27
2 Katie Koenig Good Counsel 2007 -> 2008 -0.33 1.56 +1.89
3 Megan Crilly Good Counsel 2014 -> 2015 -0.56 0.78 +1.34
4 Leah Stephens Good Counsel 2020 -> 2021 0.84 2.14 +1.30
5 Cassidy Burke Good Counsel 2012 -> 2013 0.02 0.91 +0.89
6 Katie Koenig Good Counsel 2006 -> 2007 -1.17 -0.33 +0.84
7 Ellen Tuttle Good Counsel 2015 -> 2016 -0.76 0.03 +0.79
8 Sophie Dean Good Counsel 2010 -> 2011 -0.35 0.37 +0.72
9 Leah Stephens Good Counsel 2021 -> 2022 2.14 2.75 +0.61
10 Megan Crilly Good Counsel 2012 -> 2013 -0.13 0.47 +0.60
11 Maggie Ralston Good Counsel 2015 -> 2016 -0.32 0.20 +0.52
12 Delia Launi Good Counsel 2014 -> 2015 -0.78 -0.27 +0.51
13 Taylor Kozam Good Counsel 2011 -> 2012 1.18 1.62 +0.44
14 Erin Britt Good Counsel 2009 -> 2010 -0.91 -0.48 +0.43
15 Maggie Ralston Good Counsel 2014 -> 2015 -0.68 -0.32 +0.36
15 Claudia Wendt Good Counsel 2014 -> 2015 1.52 1.88 +0.36
17 Josephine Kemp Good Counsel 2023 -> 2024 0.35 0.68 +0.33
18 Cassidy Burke Good Counsel 2011 -> 2012 -0.26 0.02 +0.28
19 Lindsay Braviak Good Counsel 2010 -> 2011 -0.76 -0.51 +0.25
20 Beth Conlon Good Counsel 2007 -> 2008 -0.04 0.10 +0.14

Girls - Greatest Career Z-Score ImprovementD

Rank Name School Career Leap Z1 Z2 Improvement
1 Katie Koenig Good Counsel 2006 -> 2008 -1.17 1.56 +2.73
2 Amelia Avila Good Counsel 2023 -> 2025 1.28 3.36 +2.08
3 Leah Stephens Good Counsel 2020 -> 2022 0.84 2.75 +1.91
4 Megan Crilly Good Counsel 2012 -> 2015 -0.13 0.78 +0.91
5 Maggie Ralston Good Counsel 2014 -> 2016 -0.68 0.20 +0.88
6 Ellen Tuttle Good Counsel 2015 -> 2016 -0.76 0.03 +0.79
7 Sophie Dean Good Counsel 2010 -> 2011 -0.35 0.37 +0.72
8 Cassidy Burke Good Counsel 2010 -> 2013 0.30 0.91 +0.61
9 Delia Launi Good Counsel 2013 -> 2015 -0.78 -0.27 +0.51
10 Taylor Kozam Good Counsel 2011 -> 2012 1.18 1.62 +0.44
11 Erin Britt Good Counsel 2009 -> 2010 -0.91 -0.48 +0.43
12 Claudia Wendt Good Counsel 2014 -> 2015 1.52 1.88 +0.36
13 Josephine Kemp Good Counsel 2023 -> 2024 0.35 0.68 +0.33
14 Lindsay Braviak Good Counsel 2010 -> 2011 -0.76 -0.51 +0.25
15 Beth Conlon Good Counsel 2006 -> 2008 0.01 0.10 +0.09

Girls - All-Time Most Weeks Ranked #1¹

Rank Name School Grad Year Weeks
1 Leah Stephens Good Counsel 2023 7
2 Amelia Avila Good Counsel 2027 6

Girls - All-Time Most Weeks Ranked Top 10¹

Girls - All-Time Greatest Individual Ranking Improvement in a Week

Rank Week Name School Grade R1 R2 Improvement
1 2016 Week 6 Maggie Ralston Good Counsel 11 53 27 +26 spots
2 2006 Week 6 Beth Conlon Good Counsel 9 61 36 +25 spots
3 2013 Week 9 Cosette Riely Good Counsel 11 73 50 +23 spots
4 2013 Week 7 Cosette Riely Good Counsel 11 94 73 +21 spots
5 2006 Week 6 Kelly Riely Good Counsel 12 65 47 +18 spots
5 2015 Week 3 Megan Crilly Good Counsel 12 37 19 +18 spots
7 2013 Final Delia Launi Good Counsel 10 88 72 +16 spots
8 2006 Week 6 Liz Guidara Good Counsel 12 36 22 +14 spots
8 2007 Week 6 Katie Koenig Good Counsel 10 55 41 +14 spots
10 2006 Final Kelly Riely Good Counsel 12 51 38 +13 spots
10 2013 Week 5 Delia Launi Good Counsel 10 93 80 +13 spots
10 2015 Week 8 Ellen Tuttle Good Counsel 11 83 70 +13 spots
13 2014 Week 8 Maggie Ralston Good Counsel 9 78 66 +12 spots
13 2015 Week 3 Maggie Ralston Good Counsel 10 65 53 +12 spots
15 2015 Week 8 Delia Launi Good Counsel 12 60 49 +11 spots
16 2006 Week 3 Janey Myers Good Counsel 12 52 42 +10 spots
16 2010 Week 2 Cassidy Burke Good Counsel 9 35 25 +10 spots
18 2011 Week 4 Taylor Kozam Good Counsel 9 26 17 +9 spots
18 2013 Week 5 Megan Crilly Good Counsel 10 44 35 +9 spots
18 2013 Week 9 Delia Launi Good Counsel 10 97 88 +9 spots
18 2015 Week 4 Maggie Ralston Good Counsel 10 53 44 +9 spots
18 2016 Week 1 Ellen Tuttle Good Counsel 12 43 34 +9 spots
18 2016 Week 5 Maggie Ralston Good Counsel 11 62 53 +9 spots
18 2017 Week 9 Claudia Wendt Good Counsel 12 89 80 +9 spots
18 2023 Final Amelia Avila Good Counsel 9 18 9 +9 spots

Girls - All-Time Most Ranking Entries and Re-Entries

Rank Name School Grad Year Ranking Entries
1 Claudia Wendt Good Counsel 2018 4 times
2 Erin Britt Good Counsel 2011 3 times
2 Julia Flick Good Counsel 2022 3 times
2 Annie Garcia-Truong Good Counsel 2021 3 times
2 Delia Launi Good Counsel 2016 3 times
2 Isabella Sauro Good Counsel 2022 3 times

Girls - All-Time #1 Ranked Athletes Per School

Rank School Unique Athletes
1 Good Counsel 2

Girls - All-Time Top 10 Ranked Athletes Per School

Rank School Unique Athletes
1 Good Counsel 9

Girls - All-Time Ranked Athletes Per School

Rank School Unique Athletes
1 Good Counsel 39

Girls - All-Time Athlete-Weeks Ranked #1 Per School

Rank School Athlete-Weeks
1 Good Counsel 13

Girls - All-Time Athlete-Weeks Ranked Top 10 Per School

Rank School Athlete-Weeks
1 Good Counsel 107

Girls - All-Time Athlete-Weeks Ranked Per School

Rank School Athlete-Weeks
1 Good Counsel 711

Girls - Most Athletes From One Team in a Week¹⁰

Rank Week School Athletes Ranked
1 2006 Final Good Counsel 8 athletes
2 2015 Week 6 Good Counsel 7 athletes
2 2025 Week 2 Good Counsel 7 athletes
4 2012 Week 1 Good Counsel 6 athletes
5 2011 Week 9 Good Counsel 5 athletes
5 2013 Week 4 Good Counsel 5 athletes
5 2014 Week 6 Good Counsel 5 athletes
5 2023 Week 7 Good Counsel 5 athletes
5 2025 Preseason Good Counsel 5 athletes
10 2010 Week 10 Good Counsel 4 athletes
10 2015 Preseason Good Counsel 4 athletes
10 2017 Week 7 Good Counsel 4 athletes
10 2019 Week 2 Good Counsel 4 athletes
10 2021 Week 6 Good Counsel 4 athletes
15 2007 Preseason Good Counsel 3 athletes
15 2018 Week 7 Good Counsel 3 athletes
15 2020 Final Good Counsel 3 athletes
15 2022 Week 1 Good Counsel 3 athletes
15 2024 Week 3 Good Counsel 3 athletes
20 2007 Preseason Good Counsel 2 athletes
20 2008 Preseason Good Counsel 2 athletes


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.

The 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.

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

The 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.

Progress 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.

The 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.

The 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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