Midseason Analysis
Jun 24, 2019 17:21:54 GMT -8
Rays GM (Donavan), Cubs GM (Beau), and 2 more like this
Post by Rockies GM (Dan) on Jun 24, 2019 17:21:54 GMT -8
A Brief Introduction
This is meant to be both a reflection of current strengths and an analysis of algorithmic accuracy.
For each team, I'll post four graphs - those are (in layout order)
#1 = The preseason projected statistical spider graphs posted here.
#2 = A current spider-graph of accumulated data, along with Z-Score.
#3 = I ran the program using only the stats accumulated to this point, and simulated the first twelve weeks. This is the distribution.
#4 = Future strengths spider-graphs, along with corresponding win% generated by my algorithm (based on historical stat win% and Z-Score correlation)
NL West
Biggest difference between preseason projection and what Arizona has done to date has been in the power category (HRs and OPS). They've had the good luck to benefit from multiple power breakthroughs this year. They added 8 HRs in Fowler after the projection was posted, and Bregman, Chapman, Almora and Pillar all are on pace to set new career-highs in HRs - Bogaerts is ahead of pace as well, though barely.
They also beat projections in the wins category - they've gotten 11 from rookies Mike Soroka and Jordan Yamamoto, along with 8 bullpen wins.
The Future
Projections see the HR outburst of Arizona's stars diminishing, or at least regressing to a point, although still well above what was originally projected. We also see something that will begin a trend - historically, rate stats (ERA, WHIP, AVG, and OPS) are the most unreliable. Even the best teams in these stats often don't win the category more than 80% of the time. While Arizona's elite pitching staff gives them a leg up above the rest of the league in ERA and WHIP, a bad week can easily see them lose those categories. Ks, Saves, and SBs are among the most reliable categories, as we'll see in a few teams.
The Rockies have recently gone through an extremely rough stretch with their young pitching, pushing down their ERA and WHIP. Otherwise, projections have held up to be true. More than computer/algorithm error on preseason projections, I'm willing to chalk this up to simply projections being wrong - most didn't see Foltynewicz's complete breakdown nor Archie Bradley and Wade Davis being shells of last year.
The Future
While future projections see some ERA and WHIP correction, basically, these Rockies are what they are. While the Rockies aren't elite in any one category, they should win nine categories at above a 60% clip, topping with an almost 90% category win rate for strikeouts. Overall, the team isn't as good as the last few years, but the program thinks they're better than a normal 8-4 team.
Offensively, apart from AVG, the projections pretty much were head-on. Again, preseason projections are notoriously bad at gauging rate stats, so I'll take it. The Dodgers also made a number of in-season moves that improved their offense, so it's remarkable that the projections are that accurate.
Pitching wise, the projections were off on K, ERA, and WHIP. Projections failed to see the breakout of Giolito, and a number of Dodgers pitchers have beaten projections the first half of the year (while LA has also had the good sense to sit an unexpectedly flailing Kyle Freeland for some of his worse starts)
The Future
ROS projections think Los Angeles is what we think they are at this point, maybe with a little ERA/WHIP regression, but nothing severe. The biggest flaw with this year's Dodgers team is that they are overly reliant on rate stats - good, but not great in AVG, OPS, ERA, and WHIP. Considering those are the most unreliable stats week in and week out, the Dodgers have not left themselves much wiggle room.
Our first team whose projection spider makes you squint really closely in order to tell if anything matches in what has happened to this point. The makeup of the team was substantially altered with the losses of Salvador Perez, Mark Trumbo, Devon Travis, Wilmer Flores, Taijuan Walker, Keone Kela, and more. Quite simply, this team isn't the same team analyzed in April. And yet, they are often beating offensive projections off the back of productive first halves from Jay Bruce, Trey Mancini and Paul DeJong
The Future
IL returnees will help San Diego in WHIP, ERA, and K. Unfortunately, the Padres face an uphill climb to make the last wildcard spot. Will this help be enough?
Really, the biggest discrepancy between projections and reality is the saves stat. Hader has been a closing machine this year, and maybe the projections didn't take the Ian Kennedy: Closer experiment seriously enough. Meanwhile, the Giants are beating their HR projection on the backs of Gary Sanchez returning to form and a Josh Bell power breakout.
The Future
Apart from some pitching rate stat regression, the computer doesn't see much change for SF. With a team strong in both rate stats and counting stats, the Giants are a formidable foe, guaranteeing at least a win in K and SB almost 90% of the time for each.
This is meant to be both a reflection of current strengths and an analysis of algorithmic accuracy.
For each team, I'll post four graphs - those are (in layout order)
#1 = The preseason projected statistical spider graphs posted here.
#2 = A current spider-graph of accumulated data, along with Z-Score.
#3 = I ran the program using only the stats accumulated to this point, and simulated the first twelve weeks. This is the distribution.
#4 = Future strengths spider-graphs, along with corresponding win% generated by my algorithm (based on historical stat win% and Z-Score correlation)
NL West
Biggest difference between preseason projection and what Arizona has done to date has been in the power category (HRs and OPS). They've had the good luck to benefit from multiple power breakthroughs this year. They added 8 HRs in Fowler after the projection was posted, and Bregman, Chapman, Almora and Pillar all are on pace to set new career-highs in HRs - Bogaerts is ahead of pace as well, though barely.
They also beat projections in the wins category - they've gotten 11 from rookies Mike Soroka and Jordan Yamamoto, along with 8 bullpen wins.
The Future
Projections see the HR outburst of Arizona's stars diminishing, or at least regressing to a point, although still well above what was originally projected. We also see something that will begin a trend - historically, rate stats (ERA, WHIP, AVG, and OPS) are the most unreliable. Even the best teams in these stats often don't win the category more than 80% of the time. While Arizona's elite pitching staff gives them a leg up above the rest of the league in ERA and WHIP, a bad week can easily see them lose those categories. Ks, Saves, and SBs are among the most reliable categories, as we'll see in a few teams.
The Rockies have recently gone through an extremely rough stretch with their young pitching, pushing down their ERA and WHIP. Otherwise, projections have held up to be true. More than computer/algorithm error on preseason projections, I'm willing to chalk this up to simply projections being wrong - most didn't see Foltynewicz's complete breakdown nor Archie Bradley and Wade Davis being shells of last year.
The Future
While future projections see some ERA and WHIP correction, basically, these Rockies are what they are. While the Rockies aren't elite in any one category, they should win nine categories at above a 60% clip, topping with an almost 90% category win rate for strikeouts. Overall, the team isn't as good as the last few years, but the program thinks they're better than a normal 8-4 team.
Offensively, apart from AVG, the projections pretty much were head-on. Again, preseason projections are notoriously bad at gauging rate stats, so I'll take it. The Dodgers also made a number of in-season moves that improved their offense, so it's remarkable that the projections are that accurate.
Pitching wise, the projections were off on K, ERA, and WHIP. Projections failed to see the breakout of Giolito, and a number of Dodgers pitchers have beaten projections the first half of the year (while LA has also had the good sense to sit an unexpectedly flailing Kyle Freeland for some of his worse starts)
The Future
ROS projections think Los Angeles is what we think they are at this point, maybe with a little ERA/WHIP regression, but nothing severe. The biggest flaw with this year's Dodgers team is that they are overly reliant on rate stats - good, but not great in AVG, OPS, ERA, and WHIP. Considering those are the most unreliable stats week in and week out, the Dodgers have not left themselves much wiggle room.
Our first team whose projection spider makes you squint really closely in order to tell if anything matches in what has happened to this point. The makeup of the team was substantially altered with the losses of Salvador Perez, Mark Trumbo, Devon Travis, Wilmer Flores, Taijuan Walker, Keone Kela, and more. Quite simply, this team isn't the same team analyzed in April. And yet, they are often beating offensive projections off the back of productive first halves from Jay Bruce, Trey Mancini and Paul DeJong
The Future
IL returnees will help San Diego in WHIP, ERA, and K. Unfortunately, the Padres face an uphill climb to make the last wildcard spot. Will this help be enough?
Really, the biggest discrepancy between projections and reality is the saves stat. Hader has been a closing machine this year, and maybe the projections didn't take the Ian Kennedy: Closer experiment seriously enough. Meanwhile, the Giants are beating their HR projection on the backs of Gary Sanchez returning to form and a Josh Bell power breakout.
The Future
Apart from some pitching rate stat regression, the computer doesn't see much change for SF. With a team strong in both rate stats and counting stats, the Giants are a formidable foe, guaranteeing at least a win in K and SB almost 90% of the time for each.