Author: Noah
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WeatherFit: A City Recommendation Algorithm
Introduction WeatherFit is an algorithm that recommends U.S. cities based on an individual’s ideal weather conditions. Users input their preferences for various weather variables, including ideal values, acceptable ranges, and importance levels. The algorithm evaluates 300 cities across all 12 months, providing detailed rankings by city, state, and month. The motivation for creating WeatherFit came… Read more
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Which NFL Quarterbacks Are Put in the Best Situations to Succeed?
Determining which quarterbacks are set up for success requires analyzing the factors that influence their performance. Using PFF grades, specifically Receiving and Pass Blocking grades, I evaluated how these external factors correlate with Passing grades. Correlations Between Factors: This data reveals a strong relationship between Passing grades and Receiving grades, with Pass Blocking grades playing… Read more
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How challenging is the transition between minor league levels?
To address this question, I analyzed 2024 data for professional baseball players who logged at least 50 plate appearances (PA) or faced 50 batters (TBF) at two or more levels. For hitters, I measured the difference in wRC+ between levels. For pitchers, I used FIP-. To get a final number I applied a weighted average… Read more
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RWE Surprise Score
The RWE (Rematch Win Expectancy) Surprise Score is a metric that quantifies how “surprising” the RWE result is when compared to the real game score. The Calculation The Surprise Score is calculated by a combination of X teams real points vs RWE points, the real point differential vs RWE point differential, and extra point being… Read more
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Top 20 Counter Strike Prospects – All lists since 2017
List #1 – December 23, 2017 #1 ZywOo (aAa) 17 years old #2 frozen (eXtatus) 15 years old #3 sergej (HAVU) 15 years old #4 Texta (Chiefs) 16 years old #5 liazz (Chiefs) 20 years old #6 huNter (Valiance) 21 years old #7 MICHU (Kinguin) 20 years old #8 Aleksib (HAVU) 20 years old #9… Read more
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Finding Expected Value of College Football Recruits
Question: How can we better evaluate college recruits using positional adjustments and expected value? To answer this, I analyzed recruiting data from 2013 to 2026, combining on3’s industry rankings with NFL Draft data and PFF grades. Here’s what I found: Using this data, I developed a model to assign each recruit an expected value on… Read more
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Rematch Win Expectancy (RWE): A Predictive Metric for Football Teams
Originally written in 2021. There may be some outdated information. Abstract: Rematch Win Expectancy (RWE) is a predictive metric, estimating the probability that Team X would defeat Team Y in a rematch based on the sustainable aspects of their original football game. RWE draws inspiration from Bill Connelly’s “Postgame Win Expectancy” but seeks to shift… Read more
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20-80 Scale for MLB Hitters – 2024 Edition
Numbers were calculated with data from 2021 to 2024 for players with a minimum of 200 PA. These tables are only for comparison on hitters from 2021 to 2024. Some adjustments were made when numbers were impossible to accomplish (-1.0 BB%). Many of the examples used were rounded to the applicable numbers. Data as of… Read more
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College Football Positional Value
Question: What is the order of importance for each college football position? To answer this I gathered data from the 2021, 2022, and 2023 college football seasons. For response variables I used yards per play and EPA for each offense, defense, and net. For explanatory variables I used PFF grades by position. When multiple players… Read more