Jacques Pépin crêpes – simple ones in seconds, plus an orange soufflé crêpe

My favorite chef is at it again, this time showing us how easy crêpes are to make. Simple ingredients and in a few minutes you have a great dessert or lunch snack 다운로드.

 

 

Transcript of the recipe:

  • Melt some butter in a skillet 다운로드.
  • While it’s melting, combine flour, two eggs, a few dashes of sugar, dash a salt, and a quarter of a cup of milk
  • Whisk until smooth and thick 다운로드. Then add enough milk to make a thin batter. Add the melted butter.
  • In the same buttery skillet, ladle in some of the batter. Quickly turn the skillet to coat the pan with the batter Web noire download.
  • Cook for about 1-minute, at least, on one side. When you see it is golden, flip it over to cook for a little bit longer. Remove from pan and voilà 다운로드.

 

This is only the first of four recipes on the show. Keep watching to see them make Orange Soufflé CrêpesBaked Alaska, and Apricot and Pistachio Soufflé 캐딜락 게임 다운로드.

It’s amazing what you can do with egg whites!

Venn diagram for how to make Saturday morning pancakes (w/ espresso)

오자마녀 도레미 다운로드

 

// Thx to Liza Sperling, Stephen Wildish

참 좋은 말 다운로드 다운로드 카카오톡 apk 다운로드 다운로드

Advanced Moneyball statistics for the 2012 Baseball season – WAR, FIP, and OPS

Moneyball (the movie) introduced the basic concept of advanced statistical analysis to a mainstream audience. Now that we’re talking about advanced stats (short-handed as sabermetrics, thanks to Bill James of the Society for American Baseball Research) and great sites like Baseball Prospectus and FanGraphs, let’s take a closer look rpg2003.

 

OPS (On-Base Plus Slugging)

This is an easy-to-understand offensive metric that provides a huge advance beyond the “basic” stats of RBIs, batting average and home runs 다운로드. OPS is simply on-base percentage plus slugging percentage (total bases divided by at-bats). It’s essentially a way to look at how a player contributes both in terms of getting on base and hitting for power xilinx ise 14.7 download.

2011 major league OPS leaders: Jose Bautista, Blue Jays (1.056); Miguel Cabrera, Tigers (1.033); NL MVP Ryan Braun, Brewers (.994); Matt Kemp, Dodgers (.986) 다운로드.

 

WAR: Wins Above Replacement

WAR, wins above replacement, is about as close to a “What does this player really mean to my team?” catchall valuation as we’re going to get 캐롤 모음 다운로드. Its definition is straightforward: How many more wins does a player add above a replacement-level player?

Baseball-Reference’s key to WAR: 8+ WAR is an MVP candidate, 5+ WAR is All-Star Level, 2+ WAR is a solid starter, 0-2 WAR is a bench player (a 24th/25th man on the roster), while anything below 0 is replacement level 다운로드.

According to FanGraphs, Jacoby Ellsbury led the majors with an otherworldly WAR of 9.4 in 2011. Kemp followed at 8.7, with Bautista behind him at 8.3 and Braun at 7.8 다운로드. On the other end of the spectrum, Raul Ibanez registered a minus-1.3 WAR (probably one reason why he’s looking for work right now). On the mound, Halladay led all pitchers with an 8.2 WAR 잡아함경 다운로드. Verlander had an impressive 7.0 WAR and NL Cy Young winner Clayton Kershaw was 6.8.

 

FIP: Fielding Independent Pitching

We’re all comfortable with ERA as a basic pitching statistic 다운로드. But ERA gives us only the average of earned runs per nine innings. It’s simple and straightforward. Low ERA is good. Simple. But what if there was a way to factor out all the things that the pitcher can’t control avast 무료?

Turns out some really smart guys devised FIP, a formula that includes the things pitchers can control — home runs, walks, hit by pitch and strikeouts — and eliminates everything else (hits, errors, quality of fielders, etc.). FIP does what it says: It looks at pitching independent of fielding and other variables that impact a pitcher’s performance.

FIP is an excellent way to predict a pitcher’s future performance.

Let’s take a look at some notable pitchers to see how their ERA and FIP looked in 2011: Roy Halladay (Phillies): 2.35 ERA, 2.20 FIP; Clayton Kershaw (Dodgers): 2.28 ERA, 2.47 FIP; Justin Verlander (Tigers): 2.40 ERA, 2.99 FIP.

All three had great years, but you’ll see that except for Halladay, all of them had higher FIP than ERA. Does that mean that a regression is in order?

You should look for pitchers with a higher FIP/ERA differential because that’s where the pitching values can be found. An example would be Toronto starter Brandon Morrow. His ERA was a not-great 4.72 but his FIP was a respectable 3.64. The 1.08 ranked as the third-highest FIP/ERA differential in the majors.

via ESPN Women – contains four more saberstats: wOBA, VORP, BABIP, UZR.