Cool constraints for SMUvsFSU 🏈
Kristian Hudson
@4khudson
Seen | PGC | 👩🏾🎓👩🏾🎓👩🏾🎓| Student | Teacher | Thompson Girls 🏀 Assistant
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Latest posts 5
Deception
Kiki Rice's last 5 games:View quoted post on X
15.8 PPG
4.6 APG
54% FG
42% 3PT
23 AST to just 4 TO in that span.
Principle of play: deception
Trigger: move the ball twice
Rep: small blast, backdoors, stampedes
Trigger: move the ball twice
Rep: small blast, backdoors, stampedes
MIA: Early Swing DrivesView quoted post on X
- Were a staple of MIA's offense the entire year. This is well executed but also something you can take away to add naturally to your early offensive attack.
- Even with a limited load up, early swing drives in the possession can be very effective
My favorite sports are invasion sports
Love this! 👊🏾
One of the biggest mistakes coaches make when simplifying a practice task is removing the very skill or decision they want players to develop.View quoted post on X
When we simplify a game, our goal isn't just to make it easier.
It's to keep the DNA of the game alive while reducing the complexity of the challenge.
Every game tells a story.There is an objective players are working towards. There are opponents trying to make that objective harder to achieve and teammates helping create solutions. Players must pick up information from the environment, make decisions based on that information and act to achieve an outcome. These elements form the DNA of most team and interactive sports. The challenge for coaches is preserving as much of this DNA as possible when scaling a task.
For example, a well-designed 2v1 can still contain many of the key ingredients of the full game. There is direction, opposition, information to pick up, decisions to make and a problem to solve. The task is simpler, but the story remains the same.
If we remove too many of these elements, we risk changing the problem players are trying to solve and ultimately what they learn.
The "DNA of the game" is my own way of thinking about some of the ideas behind the Foundation for Task Design model developed by Mark O'Sullivan and colleagues.