FAM4: Thread 3 - Day 2

i can find them. did you make sure to select “this topic only”?

Xwoba?

homestuck

And May shoots, argh! They’ve gone and missed an open net!

Some random stat guy on twitter: May’s shot had an xG of 0.96
posts a picture of May embarrassed

1 Like

null
------(28)------
alexandra
ash4fun
Baudib1
Bionic
carbonated
ChaosNinjaGaming
Ephemera
Garfooled
gori
Gorta
Hazardwaste ?
Hippopablompoyeetus
Jinrou - neut? probably not since people said they always lie
Kanave
Kork
LittleLee
Lucid_Daydream
Memekingpizza
Marluna
pandora
Porscha
Ranta
SirDerpsAlot
Someone

lean wolf
------(3)------

Ash

wolfread
------(1)------

Jarek
JakeTheWolfie


Help me narrow down these nulls more
There are definitely people here that others probably already have reads on like Hazardwaste/Ephemera/Baudib1

I cant

im going to bed. but if theres no notification eventually im gonna assume nullified my superlikes r smth :smiling_face_with_tear:

press the white box

Expected Weighted On-base Average (xwOBA)

Definition

Expected Weighted On-base Average (xwOBA) is formulated using exit velocity, launch angle and, on certain types of batted balls, Sprint Speed.

In the same way that each batted ball is assigned an expected batting average, every batted ball is given a single, double, triple and home run probability based on the results of comparable batted balls since Statcast was implemented Major League wide in 2015. For the majority of batted balls, this is achieved using only exit velocity and launch angle. As of 2019, “topped” or “weakly hit” balls also incorporate a batter’s seasonal Sprint Speed.

All hit types are valued in the same fashion for xwOBA as they are in the formula for standard wOBA: (unintentional BB factor x unintentional BB + HBP factor x HBP + 1B factor x 1B + 2B factor x 2B + 3B factor x 3B + HR factor x HR)/(AB + unintentional BB + SF + HBP), where “factor” indicates the adjusted run expectancy of a batting event in the context of the season as a whole.

Knowing the expected outcomes of each individual batted ball from a particular player over the course of a season – with a player’s real-world data used for factors such as walks, strikeouts and times hit by a pitch – allows for the formation of said player’s xwOBA based on the quality of contact, instead of the actual outcomes. Likewise, this exercise can be done for pitchers to get their expected xwOBA against.

Why it’s useful

xwOBA is more indicative of a player’s skill than regular wOBA, as xwOBA removes defense from the equation. Hitters, and likewise pitchers, are able to influence exit velocity and launch angle but have no control over what happens to a batted ball once it is put into play.

For instance, Marcell Ozuna produced a .327 wOBA in 2018. But based on the quality of his contact, his xwOBA was .359.

Check “bu konuyu ara”

I regret put it back

1 Like

I’ll tell you my allignment for a cookie

Ty

I read this wrong.

1 Like

Ill give you 0 cookies if you tell me your alignment how does that sound

@Ashlyn, hello Ashlyn my top townread who should I shoot

Ew

wazza do you need superlikes

(fyi you’re just my top townread, not my top town)