The culminating data from the annual footrace sponsored by a telecommunications company in a Wisconsin city provides runners, spectators, and organizers with a wealth of information. This data typically includes finishing times for each participant, categorized by age and gender, as well as overall placement. It may also include split times at various points along the course, allowing for analysis of pacing strategies. An example would be a listing showing the winning time, the average finishing time, and the number of finishers in each age group.
Access to this information offers several benefits. Runners can track their performance progress over time, compare their results to others in their age group, and identify areas for improvement. Spectators can follow the progress of friends and family participating in the race. Race organizers can use the data to analyze participation trends, assess the effectiveness of race logistics, and plan future events. Furthermore, historical race data provides a valuable longitudinal perspective on athletic performance and community engagement in the sport.
This data set facilitates a deeper understanding of individual performance metrics, overall race trends, and the broader impact of this sporting event on the local community. Further exploration will cover topics such as how to access these records, how to interpret the data, and how the data contributes to the ongoing narrative of this annual event.
1. Finishing Times
Finishing times represent a core component of the Green Bay Cellcom Marathon results, serving as the primary metric for evaluating individual performance. These times, recorded as each runner crosses the finish line, determine the official race outcome, establishing the order of finishers and providing a quantifiable measure of each participant’s effort. A runner completing the course in 2 hours and 30 minutes, for instance, achieves a faster time than someone finishing in 3 hours. This difference in finishing times directly translates to differences in placement within the overall results and within specific age and gender categories.
The significance of finishing times extends beyond individual accomplishment. Aggregated finishing times provide valuable insights into the race itself. Average finishing times, for example, can reveal the overall difficulty of the course in a given year, influenced by factors such as weather conditions and course changes. The distribution of finishing times across different segments of the field can illuminate participation patterns and the competitive landscape of the race. Comparing finishing times year over year allows for the identification of trends in performance and participation, reflecting broader trends in running and fitness within the community.
Understanding the role and implications of finishing times is essential for interpreting the full narrative of the Green Bay Cellcom Marathon. This data point provides a foundation for analyzing individual performance, assessing race dynamics, and appreciating the broader context of this annual event. Further analysis of finishing times in conjunction with other race data can offer even deeper insights into the event and the individuals who participate.
2. Age group rankings
Age group rankings constitute a crucial element within the Green Bay Cellcom Marathon results, providing a nuanced perspective on individual performance relative to peers. These rankings categorize participants based on predetermined age brackets, allowing for comparisons within specific demographics. A 40-year-old runner’s performance, for example, is assessed relative to other runners in the 40-44 age group, rather than against the entire field. This stratification acknowledges the physiological differences associated with age and provides a more equitable basis for competition and recognition.
The inclusion of age group rankings enhances the overall value of the marathon results. It offers runners a more targeted benchmark for evaluating personal progress and identifying areas for improvement. A runner aiming to improve their standing within their age group can focus training efforts and strategies accordingly. Furthermore, age group rankings provide added motivation and a sense of achievement beyond overall placement. Winning one’s age group, even if not placing highly overall, represents a significant accomplishment. This layered approach to performance evaluation fosters a more inclusive and encouraging environment for participants of all ages and abilities.
Understanding the significance of age group rankings within the context of the Green Bay Cellcom Marathon results facilitates a deeper appreciation of the race’s inclusivity and its emphasis on individual achievement. Analyzing age group trends over time can reveal patterns in participation and performance within different demographics, providing valuable insights for race organizers and the running community. This structured approach to competition fosters a positive and motivating environment for participants of all ages and skill levels, contributing to the ongoing success and appeal of the event.
3. Gender divisions
Gender divisions within the Green Bay Cellcom Marathon results provide a structured framework for recognizing and analyzing performance differences between male and female participants. This categorization acknowledges the physiological distinctions between genders and ensures fair competition by establishing separate ranking systems. The implementation of gender divisions creates a more level playing field, allowing for meaningful comparisons and highlighting achievements within each gender category. This separation ensures that performance is evaluated relative to others of the same gender, promoting equitable recognition of athletic accomplishment. For example, the fastest female finisher receives recognition as the top female runner, regardless of her overall placement among all participants.
This practice extends beyond simply acknowledging physiological differences; it fosters a more inclusive and encouraging environment for all participants. By providing separate categories, the marathon acknowledges and celebrates the achievements of both male and female runners, encouraging greater participation and a sense of accomplishment for all. This contributes to a more diverse and representative field, promoting the sport of running across all demographics. Analyzing results within gender divisions allows for the identification of performance trends and participation patterns specific to each gender, providing valuable data for researchers, coaches, and race organizers. This data can inform training strategies, promote gender equality in sports, and contribute to a deeper understanding of athletic performance.
The inclusion of gender divisions in the Green Bay Cellcom Marathon results serves as a cornerstone of fair competition and inclusivity. This structured approach allows for accurate performance comparisons, encourages participation from diverse groups, and promotes a more equitable landscape within the sport. Understanding the rationale and impact of gender divisions is essential for a comprehensive interpretation of marathon results and for appreciating the broader context of athletic achievement within the event.
4. Overall placement
Overall placement within the Green Bay Cellcom Marathon results signifies a runner’s rank among all participants, regardless of age or gender. This ranking, determined solely by finishing time, represents the most straightforward measure of performance within the race. A runner finishing first receives an overall placement of 1, the second finisher receives a placement of 2, and so on. This ranking system provides a clear hierarchy of performance, allowing for immediate identification of the top performers in the event. For instance, an individual completing the marathon in the fastest time achieves the coveted first-place overall ranking, signifying a significant athletic achievement. This placement holds weight regardless of the runner’s demographics, recognizing exceptional performance within the entire field.
While age group and gender rankings provide valuable context for individual performance, overall placement offers a universally understood metric of accomplishment. This ranking system provides a clear point of comparison for all participants, fostering a sense of competition and driving individual achievement. A runner may aspire to improve their overall placement year over year, setting a personal performance benchmark irrespective of other categorical rankings. Moreover, overall placement often carries prestige and recognition within the running community. Top overall finishers are typically highlighted in race reports and award ceremonies, solidifying their achievements within the event’s narrative. Analyzing trends in overall placement across multiple years can offer insights into the evolving competitive landscape of the marathon, providing valuable data for race organizers and participants alike.
Overall placement serves as a crucial component of the Green Bay Cellcom Marathon results, offering a readily understandable and universally applicable measure of performance. This ranking system contributes to the competitive spirit of the event, provides a clear benchmark for individual achievement, and allows for historical analysis of performance trends. Understanding the significance of overall placement provides a foundational element for interpreting the complete narrative of the Green Bay Cellcom Marathon and recognizing the accomplishments of its participants.
5. Split times
Split times, representing recorded durations at designated points along the Green Bay Cellcom Marathon course, offer crucial insights into race dynamics and individual pacing strategies. These intermediate time recordings, typically taken at every 5 kilometers or miles, provide a granular view of performance beyond the final finishing time. Split times allow runners and analysts to dissect race performance, identifying strengths and weaknesses in pacing. For example, a runner’s split times might reveal a fast start followed by a gradual slowdown, indicating a potentially unsustainable initial pace. Conversely, consistently paced split times demonstrate effective race management. Analyzing split times within the context of overall results offers a more nuanced understanding of how a race unfolded, differentiating between runners with similar finishing times but distinct pacing approaches.
The practical significance of split time analysis extends beyond individual performance evaluation. Coaches can utilize split time data to tailor training programs, addressing specific pacing challenges. Race organizers can analyze aggregate split times to understand how course conditions, weather, or aid station placement affect runner performance. Furthermore, comparing split times across multiple years can reveal trends in pacing strategies and overall race dynamics. For instance, an increase in average split times at a specific point in the course over several years might suggest a change in course difficulty or weather patterns. This data-driven approach facilitates continuous improvement in race organization and athlete preparation.
Split time analysis provides a critical layer of understanding within the Green Bay Cellcom Marathon results. This granular perspective complements overall finishing times and ranking data, enabling deeper insights into individual performance and broader race trends. By examining split times, runners, coaches, and organizers gain a valuable tool for evaluating pacing strategies, optimizing training, and enhancing the overall race experience. This detailed analysis contributes to a richer narrative of the marathon, transforming raw data into actionable insights for continuous improvement and a more comprehensive understanding of athletic performance.
6. Historical Data
Historical data from the Green Bay Cellcom Marathon provides a valuable longitudinal perspective, transforming individual race results into a continuous narrative of athletic achievement and community engagement. Examining past results reveals performance trends, participation patterns, and the evolution of the event itself. This historical context enriches the understanding of current race outcomes and provides a benchmark for future events.
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Performance Trends Over Time
Analyzing historical finishing times, both overall and within specific age and gender groups, reveals performance trends over time. This data can indicate whether course records are improving or stagnating, and whether participation in specific demographics is increasing or decreasing. For instance, a steady decrease in average finishing times over several years might suggest an increase in the overall competitiveness of the field. Conversely, a consistent plateau in top finishing times could indicate a period of stability in elite performance levels. Such trends offer insights into the evolution of running within the local community and beyond.
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Participation Patterns and Demographics
Historical data reveals participation patterns, illustrating changes in the overall number of runners and the demographic composition of the field. Tracking the number of finishers each year reveals the growth or decline of the event’s popularity. Analyzing participation within different age groups and gender divisions offers insights into broader trends in running participation. An increase in the number of older runners, for example, might reflect growing awareness of the health benefits of running later in life. These patterns provide valuable context for understanding the evolution of the marathon’s reach and its role in promoting fitness within the community.
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Course Records and Notable Performances
Historical data preserves a record of course records and other notable performances, providing a benchmark for current participants and a source of inspiration for aspiring runners. These records offer a tangible target for competitive runners and a historical context for evaluating exceptional achievements. Knowing the fastest time ever recorded on the Green Bay Cellcom Marathon course sets a challenging goal for elite runners. Furthermore, historical data allows for the recognition of outstanding performances within specific age groups or under particular race conditions, providing a richer understanding of individual achievements within the context of the event’s history.
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Impact of External Factors
Examining historical data alongside records of weather conditions, course changes, and other external factors allows for analysis of how these variables influence race outcomes. For example, comparing finishing times across years with significantly different weather conditions can reveal the impact of temperature and humidity on runner performance. Similarly, analyzing results before and after a course modification can highlight the effect of changes in elevation or terrain on race times. This analysis provides valuable insights for race organizers, helping them to optimize course design and prepare for varying race conditions.
By analyzing these interconnected facets of historical data, a deeper understanding of the Green Bay Cellcom Marathon emerges. This longitudinal perspective not only enriches the interpretation of present-day results but also provides valuable insights for shaping the future of the event, enhancing the experience for both participants and the community.
Frequently Asked Questions about Green Bay Cellcom Marathon Results
This section addresses common inquiries regarding the Green Bay Cellcom Marathon results, providing clarity and facilitating a comprehensive understanding of the data and its accessibility.
Question 1: Where can official race results be found?
Official results are typically published on the Green Bay Cellcom Marathon website shortly after the race concludes. Results may also be available through affiliated timing and race management platforms.
Question 2: How quickly are results posted after the race?
While timing varies, results are often available within a few hours of the race’s conclusion. Factors such as the size of the field and any technical challenges can influence posting times.
Question 3: What information is included in the results?
Results typically include participant names, bib numbers, finishing times, overall placement, age group rankings, gender rankings, and potentially split times at designated points along the course.
Question 4: Can historical race results be accessed?
Historical results from previous years are often archived on the marathon’s official website, providing a valuable resource for tracking performance trends and race history.
Question 5: How can errors in the results be addressed?
Any perceived discrepancies in the results should be reported to the race organizers through the designated channels outlined on the official marathon website. Contact information is typically available within the results section or on the general contact page.
Question 6: How are finishing times determined and recorded?
Finishing times are electronically recorded using timing chips or similar technology. These systems accurately capture each runner’s time as they cross the finish line, ensuring precise and consistent recording of results.
Understanding these frequently asked questions enhances the accessibility and utility of the Green Bay Cellcom Marathon results. This information empowers individuals to effectively interpret the data, track performance, and gain a deeper appreciation of the event’s history and competitive landscape.
Further sections will explore in-depth analysis of specific aspects within the race results and provide detailed guidance on interpreting the data.
Tips for Utilizing Green Bay Cellcom Marathon Results
Effective utilization of race data provides valuable insights for runners seeking performance improvement, spectators following participant progress, and organizers aiming to enhance future events. The following tips offer guidance on maximizing the benefits of this data.
Tip 1: Track Personal Progress: Maintain a personal record of race results across multiple years to monitor performance trends and identify areas for improvement. Note finishing times, age group rankings, and overall placement to assess progress and set realistic goals for future races.
Tip 2: Analyze Pacing Strategies: Examine split times at various points along the course to evaluate pacing strategies. Identify consistent pacing patterns or points of significant slowdown. This information can inform training adjustments and optimize race day strategies.
Tip 3: Compare Performance within Age Group: Focus on age group rankings to gain a more relevant performance comparison. Assess progress relative to peers within the same age bracket, providing a more targeted benchmark for improvement.
Tip 4: Utilize Historical Data for Context: Consult historical race results to understand long-term trends and contextualize current performance. Comparing results against previous years provides insights into personal progress and the evolving competitive landscape of the race.
Tip 5: Consider External Factors: Recognize the influence of external factors such as weather conditions and course changes on race performance. Unusually hot or humid weather can significantly impact finishing times, and course modifications can alter the level of difficulty. Account for these variables when evaluating results.
Tip 6: Set Realistic Goals: Use race data to establish achievable performance goals for future races. Based on past results and identified areas for improvement, set specific, measurable, achievable, relevant, and time-bound (SMART) goals to guide training and maximize future performance.
Tip 7: Support Fellow Runners: Utilize race results to track the progress of friends, family, or training partners. Offer encouragement and support based on their individual achievements, fostering a positive and motivating running community.
By applying these tips, individuals can effectively utilize race data to gain valuable insights, enhance performance, and deepen their engagement with the Green Bay Cellcom Marathon.
The following conclusion will synthesize these insights and underscore the broader significance of this data within the context of the event.
Conclusion
Examination of the Green Bay Cellcom Marathon results reveals a comprehensive narrative of individual achievement and collective athletic endeavor. From finishing times and age group rankings to split times and historical data, each data point contributes to a richer understanding of the event. Analysis of these results allows for the assessment of personal progress, the evaluation of pacing strategies, and the recognition of exceptional performances within the context of the race’s history and evolving competitive landscape. Furthermore, understanding the influence of external factors such as weather and course conditions provides valuable context for interpreting race outcomes.
The Green Bay Cellcom Marathon results represent more than a simple ranking of runners; they embody the spirit of athletic pursuit, community engagement, and personal accomplishment. This data serves as a valuable resource for runners, spectators, and organizers alike, fostering continuous improvement, informed participation, and a deeper appreciation for the enduring legacy of this annual event. Continued analysis and utilization of this data promise further insights into the dynamics of human performance and the vibrant tapestry of the running community.
