BREAKING: A tarps off situation has unfolded in the upper deck at Truist Park. Shortly after, a stadium employee has shut down the crowd.
@ajc if you are interested in my journaling talent, my messages are open.
@squash003 FIP focuses on results, but only ones the pitcher controls (Ks, BBs, HRs)
xERA uses Statcast to look at the quality of contact the pitcher gives up
Since Strider is allowing lots of BBs and HRs, his FIP is going to be very high. xERA shows his quality of contact has been good
Braves Notable Numbers in May:
1) Baldwin led offense in fWAR despite just 16 games
2) Acuña's 192 wRC+ led team
3) Olson 111 wRC+, but xwOBA was 42 points higher than wOBA
4) 7 HRs for Olson and Harris
5) Yaz 170 wRC+ and .953 OPS
6) Mateo 174 wRC+ (3rd on team)
14) Strider 4.66 FIP, but 2.90 xERA
15) Suarez 0.71 ERA, 3.40 FIP, just 6.39 K/9
16) Holmes and Strider 6 HR given up each
17) Iglesias 2 ER in 9 IP
18) Strider 17 BBs in 31 IP
7) Ha-Seong Kim -19 wRC+ and -0.8 fWAR
8) Riley 100 wRC+ and 35% K%
9) Albies 69 wRC+
10) Dubón 71 wRC+, but .302 xwOBA
11) Sale 1.80 FIP and his 1.3 fWAR led staff by 0.8
12) Holmes 5.31 FIP, 10.22 K/9
13) Lee 1.70 FIP, 33.3% K-BB%, both led team
@Alex_Fedderly@Wille_3225 Sure let’s say you’re correct about this one play
Good thing there’s 2 others in my original post not hit directly back! Along with 5 years of him being a statistically poor defender on balls hit in any direction
Ronald Acuña Jr. went from just -1 FRV to -4 in just one game on Sunday, which is simply unheard of
Here's a look at some of the poor plays:
1. 95% Catch Probability
@NotSayi663@Alex_Fedderly I certainly won't disagree with this. Better argument than the rest of this thread
Even if we throw out this one specific play that people are losing their minds over, he has a track record of being an extremely negative defender
@teamlobsterz@Alex_Fedderly Which do you trust more
A. Literal statistics
B. "no actually I don't think so" via eye test from a broadcast
Acuña has a track record of being a negative defender, and it's okay to accept that!
But hey, maybe I'm just brainwashed and lack critical thinking like you say
@BurkschmidtMD@Alex_Fedderly Acting like these “aren’t even fucking close” is a pretty dramatic exaggeration
The fact is these are 4 pretty poor plays, no matter how you turn it
Sure, give him a break for ones at the wall, but he does not have a good track record of good defense, and it’s shown here
@Alex_Fedderly I’m really not going to spend the rest of my night trying to convince you one way or another
But, I urge you to at least look into these stats before completely knocking them off because you disagree via the eye test
@Alex_Fedderly The definition from Statcast:
"Catch Probability expresses the likelihood for a ball to be caught by an outfielder based on opportunity time, distance needed, and direction."
Good thing straight back over his head is accounted for here
@Alex_Fedderly@Badtoelzer Not sure what else you want me to do then. All are 3.9 seconds to cover 49-52 feet.
95% is based on the thousands of plays resulting in this same profile. Acuña made a bad play, it happens. But refusing to believe it is just silly
@Badtoelzer@Alex_Fedderly I'll use a different method for you then.
Acuña's play covered 50 feet in 3.9 seconds
Here's a few with almost exact same numbers. Acuña going back certainly makes it harder, but look how easily these guys are getting to this ball
@Alex_Fedderly Acuña had 3.9 seconds to cover 50 feet, which is labeled as a 95% catch probability.
These numbers aren't just made up - they're based on actual data from other batted balls around the league
StatCast metrics observe data far better than your eyes do, I promise