Below you'll find a detailed table of race results. The "Performance Score" reflects the rating for that specific race, while the "Updated Rating" represents your cumulative rating, influenced by past performances. This distinction is key, as your overall rating is a weighted average that slowly responds to your most recent race's performance score. For a visual representation of how these ratings evolve, refer to the graph below.
| Event Date | Event Name | Race Name | Finishing Place | Finishing Time | Performance Score | Updated Rating |
|---|---|---|---|---|---|---|
| 2023-08-26 | Johnston xc Invite | Johnston XC Invite Girls | 17 | 20:42.79 | 1654 | 1651 |
| 2023-09-02 | Urbandale Invitational | Urbandale Invitational Cross Country Girls 5 km | 14 | 22:06.90 | 1610 | 1627 |
| 2023-09-07 | 50th Bobcat XC Invitational | 50th Bobcat XC Invitational Varsity Girls | 69 | 21:02.5 | 1606 | 1617 |
| 2023-09-21 | Indianola CC Invitational | 55th Indianola XC Invitational 1 - 9-10-JV Girls | 2 | 22:16.90 | 1561 | 1585 |
| 2023-09-28 | Southeast Polk XC meet | Southeast Polk CC Invitational 1 - JV Girls | 5 | 21:47.20 | 1594 | 1590 |
| 2023-10-05 | Fort Dodge Invite | Womens 5,000 Meters Varsity | 94 | 20:39.20 | 1612 | 1600 |
| 2023-10-11 | CIML Conference | Womens 5,000 Meters Varsity | 60 | 20:42.40 | 1580 | 1591 |
| 2023-10-18 | Iowa State Qualifier - 4A - Marshalltown | Womens 5,000 Meters Varsity | 32 | 20:51.79 | 1579 | 1585 |
| 2023-10-27 | Iowa State Class 4A Championships | Womens 5,000 Meters Varsity | 124 | 21:00.70 | 1520 | 1554 |
Explore the visual trends of performance scores and updated ratings across different events. This graphical representation helps in understanding the progression and fluctuations in performance over time.
Ratings are dynamic estimates, representing a range of potential future performance outcomes. The box plots above illustrate these ranges, with the red dotted line indicating the "Performance Score" and the solid blue line showing the "Updated Rating". A performance score falling outside the expected range can lead to significant adjustments in the updated rating, reflecting the dynamic nature of performance evaluation.