Feeding the Frasers
Family Favorite Recipes Made to Feed the Five-Time CrossFit Games Champion, Mat Fraser
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- 11,99 €
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- 11,99 €
Publisher Description
Based on Sammy Moniz's popular Instagram page, Feeding the Frasers is a book that any CrossFit aficionado—or just someone curious about how to cook with whole foods without sacrificing the world—will want to get their hands on.
Filled with 100 terrific recipes of high quality delicious food that promote balance, togetherness, indulgence, and athletic recovery.
Sammy Moniz is well known in the CrossFit community as an activist, and she is also the wife of five time champion Mat Fraser, the winningest athlete in CrossFit history and one of the most beloved.
This is her cookbook where she shares the secrets behind feeding the greatest champion of the sport.
PUBLISHERS WEEKLY
The appetites of the super-fit are demystified in this winning debut cookbook from the partner of a CrossFit champion. Moniz and Fraser are not as spartan as one might expect, and, indeed, these recipes are the ones Monez claims helped her learn to cook "dayummmm good food." Most of the dishes are meant to serve four, and many include easy tweaks on familiar fare. Smoked tomatoes are tucked into BLTs, seven-minute eggs with gooey yolks top the breakfast salad that the couple enjoys when they vacation in Canada, and sweet potato pancakes get a zing from adding ginger beer to the batter. Portuguese influences from the author's childhood inform the braise and spice of shredded beef bowls, while her penchant for bold flavors pulls inspiration from the couple's world travels in options such as a spread for bagels that uses charred Mexican street corn and a North African harissa-honey glaze for lamb kebabs with chickpeas and carrots. Snacks and sweets borrow from the same playbook, treating cereal-and-nut mixes to fiery ranch and churro-inspired flavors. The snappy tips Moniz dispenses—such as microwaving corn tortillas before filling them (to avoid "cracked and limp tacos")—underscore her welcoming, beginner-friendly approach. There's nothing weak about this collection.
