Crackdown on Players Faking Injuries, Tweak to Video Review Verbiage Among Changes in College Game (Copy)
The NCAA targets injury feigning to maintain game pace and limits overtime timeouts, allowing only one per team after two extra periods, the National Football Foundation said.
- The National Football Foundation announced changes for the 2025 season, including penalties for players feigning injuries, reduced overtime timeouts, and updated video review language.
- Amid growing concerns over clock manipulation, the NCAA Football Rules Committee explained that recent rule adjustments include standardizing penalties for simulated injuries at the snap.
- Under the new rules, referees will announce a call is `upheld` following video reviews instead of saying `confirmed` or `stands`.
- In overtime, teams still have one timeout in the first two periods, with only one additional timeout allowed for the rest of the game, according to the NCAA.
- Additionally, officials announced that simulating firearm actions is an automatic unsportsmanlike foul, and defensive players within one yard of scrimmage must avoid abrupt snap simulations.
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NCAA football will throw the flag on fake injuries in 2025
The college football season kicks off in nine days, and the NCAA has made teams aware that they will not tolerate teams faking injuries to stop the clock. New rules were announced on Wednesday to combat the practice and will go into effect at the beginning of regular season play. How often do players fake injuries? There are no statistics outlining how many players faked an injury to stop the clock during the past few seasons, but the NCAA made …
Crackdown on players faking injuries, tweak to video review verbiage among changes in college game (copy)
Officials will be cracking down on college football players who feign injuries, the number of overtime timeouts will be reduced and referees will use different verbiage when announcing the results of video reviews.
·Madison, United States
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Total News Sources19
Leaning Left8Leaning Right1Center5Last UpdatedBias Distribution57% Left
Bias Distribution
- 57% of the sources lean Left
57% Left
L 57%
C 36%
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