![]() ![]() Do firms maximize? Evidence from professional football. Ravens bolster their analytics department with new front office additions. Estimating nfl drive outcomes under rules that don’t exist. Moneyball: The art of winning an unfair game. Professionals do not play minimax: Evidence from major league baseball and the National Football League. ![]() nflscrapR: Compiling the NFL play-by-play API for easy use in R. For a passing league, the nfl still doesn’t pass enough. The nfl’s analytics revolution has arrived. A better 4th down bot: Giving analysis before the play.Ĭlark, K. , r package version 3.2.0.Ĭausey, T., Katz, J., & Quealy, K. (2020) nflfastR: Functions to efficiently access NFL play by play data. New York Times Forth Down Bot.Ĭarl, S., Baldwin, B., & Sharpe, L. nflfastR-data repository.īurke, B., & Quealy, K. NFL fourth-down decisions: The math behind the league’s new aggressiveness.īaldwin, B. “Several lessons from the last years can be applied to how we continue our response to variants of COVID-19 and prepare for the next threat - because there will be another.Baldwin, B. “This study highlights the importance of a holistic approach to reopening and managing public events during a disease outbreak when vaccines and rapid testing are not readily available,” they wrote. Leal and her colleagues said their data call for a more thoughtful perspective. As one fan told The Times: “We got deprived last year … it’s a lot of pent-up emotion and fervor and all that.” The following September, a new season began with 65,566 fans gathering to watch the Buccaneers face the Cowboys in Tampa despite rising numbers due to the Delta variant. By then, the league had lost an estimated $4 billion in attendance-related revenue. The 2020-21 season ended with a Super Bowl where 24,000 people, including vaccinated healthcare workers, sat in predetermined seats amid thousands of cardboard cutouts. “We feel that we presented quite strong evidence for the higher risk of spikes for COVID-19.” “What we did find was an association,” Leal said. The data may also have been influenced by overall public health regulations in each of the observed counties. Science & Medicine Super-spreading Trump rallies led to more than 700 COVID-19 deaths, study estimatesĪ Stanford study of 18 Trump rallies held in the midst of the pandemic suggests they’ve led to more than 30,000 coronavirus infections and at least 700 COVID-19 deaths.Īuthors of the more recently published research were careful to state they could not assess cause and effect because they had not confirmed transmission as directly linked to fan attendance. “Those same experts and an independent group of researchers at MIT have told us our approach worked: there were no local clusters of COVID cases traced to our games.” “With the expert guidance of local, state and federal public health officials, including the CDC, we hosted fans safely and responsibly during the 2020 NFL season,” the league said in a statement. After two and three weeks, however, the games with 20,000-plus attendance were associated with 2.23 times the rate of spikes, the study said.Īnother study, led by researchers at MIT, used different methodology and suggested that opening stadiums had no impact on community spread. The seven-day interval showed no significant differences, which wasn’t surprising given the coronavirus’ incubation period at the time. Leal and colleagues from universities across the nation - including public health experts - gathered COVID-19 data from applicable counties at intervals of seven, 14 and 21 days following games. The new study looked at 152 games with no fans and 117 games with crowds ranging from 748 to 31,700. Twenty of the 32 teams settled on limited attendance, taking precautions that included augmented sanitation, fans seated in small clusters and social distancing throughout the venue. But when it came to fans, each franchise could set its own stadium policy in consultation with local public health authorities. The league established strict testing and contact tracing among players and team staff, keeping in-house infection rates relatively low. ![]()
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