This year’s trade deadline should be eventful because of the abundance of talented pitchers available on the market, such as Matt Boyd, Marcus Stroman, Robbie Ray, Zack Wheeler, Madison Bumgarner, and Noah Syndergaard. There are a number of contending teams seeking to improve their starting rotations, including the Yankees, Phillies, Braves, Twins, Dodgers, and Astros. Let’s take a look at their top prospects who could be the centerpieces of a deadline acquisition. Continue reading →
The New York Mets are a bad ball club. Yes, they won their last game against the juggernaut Atlanta Braves at Citi Field this past Sunday to close June. The problem is that that win came after a staggering seven-game losing streak.
Of course, being part of the National League East was never going to make things easy for the New York team. The division is loaded, to say the least. Although both the Washington Nationals and the Philadelphia Phillies are playing under expectations (they were projected to 90 and 85 wins per Fangraphs and they look short of reaching them), Atlanta has blasted through the field and is currently holding the Number one spot in the division with a 50-35 record that projects to finish at 91-71 by season’s end.
The Mets, right now, are as close to the Phillies as they are to the bottom-ranked Marlins. The Mets, by the way, were expected to have a .517 win percentage as the season started, but they’re currently bearing a .447 W% having won only 38 of 85 played games.
The chances of New York winning the NL East as of this writing are under 1%. The chance to get to (and win) a WC game is at 6.2%. Their odds for a WC berth is 0.1%. Not really encouraging, surely.
It wouldn’t be fair to put all the blame on one single player. The front office and the club’s staff is a mess, and the team as a whole is underperforming. Even with that, the starters for the Mets this season haven’t been that bad.
Here are some graphics that highlight both the Mets and average MLB starters stats during the first half of the season:
Coincidentally, the one with the highest winning percentage (not that it matters much, though), Noah Syndergaard, is also the one having a little bit of a letdown season given the expectations. Among Mets’ pitchers, he’s also not being exactly the leading man and his numbers have been career-low all over the board.
For starters, Syndergaard has seen his ERA, FIP, and WHIP all rise during this season. He’s got the worst ERA of all the aforementioned five starters barring Steven Matz (4.56 to 4.95). His FIP sits at 3.76 and is only lower than that of Vargas and Matz. He’s also third among New York’s starters in WAR at 2.1 now.
Looking at ZiPS projections, they expected him to post a 1.5 lower ERA and a 0.9 lower FIP, accounting for a season-long 4.2 WAR. While he may be on track to that last number value by the end of the year, his underlying numbers are not even close to what he should be doing.
It can’t be said that Noah Syndergaard has regressed because he’s always had more or less similar production (excluding the kinda fluky 2017 season in which he only played seven games), but he’s definitely worsened his numbers all along for the worst marks since he entered the major circuit.
The reasons behind this slump can be found looking practically in any direction.
On average, the whole MLB is trending toward a lower GB/FB number. Hitters are changing their approach to facing pitchers and more fly balls are being hit each and every day. Syndergaard is still over the average (1.33 GB/FB, the league-average is at 1.20 currently) but is having his worst season in that regard since 2015.
This fact hurts him even more while taking into account the HR/FB ratio he’s also posting this year, which as the graphic above shows is definitely the highest he’s ever conceded in the past four seasons. More fly balls, of which more than ever turn into homers, is definitely not a good pairing. What last year almost never topped 8% on a 15-game rolling average has turned into an around 12% mark this season, only three points under the MLB average-pitcher (starters and relievers) value.
Another couple of badly directed trends are those related to the contact hitters are making with Noah’s pitched, and how he’s not striking out batters that much this year on swings.
Although he’s maintained his pitch profile more or less stable during the past years, raising the percentage of thrown changeups and keeping it at around the mid-tens for all of his career, the number of fastballs he’s throwing in 2019 in comparison to every year other than 2016 is considerably higher:
He’s moved from a 20.7% of fastballs in 2018 to 30.7% this season, while he’s cut his sliders almost in half (from 20.9% to 10.8%) and raised the number of changeups he’s throwing (from 15.7% to 18.3%). The graphic allows us to see more clearly how the arsenal of pitches and more than anything its usage is much more spread this season than in years past, not that it is helping him get better results though.
The picture above shows each of the four pitches Syndergaard has thrown this year, sorted from higher to lower usage percentage. The usage is shown on the charts on the top row. On the bottom row, I’ve plotted the average amount of runs he has allowed against 100 pitches of each type. Positive values are good, negative values are bad.
As you can see, the highest amount of runs Noah is conceding are coming from sliders. It can be understood that he’s only throwing them 10.8% of the time. On the other hand, though, he’s throwing a lot of fastballs (more than ever) yet his value is only at 0.6 per 100, the lowest of those on the positive side of things. Although the changeup has been more valuable in preventing run for Syndergaard, he’s using it only around 60% more of the time.
All in all, and although Noah is having some sort of a downside year, his underlying numbers don’t look terribly bad and a couple of tweaks here and there for the remainder of the season could prove to be the only thing needed to reach what we believed we’d see from Thor in 2019.
Entering July, and given his past, there is still plenty of time to reverse the trend and turn a middling year into one on par with those from the past. If only the Mets could get things together.
Here we are, another huge Tuesday 15-game slate on our hands. The big scary DFS players with huge bankrolls will be playing in virtually every contest you enter. Don’t let that scare you off. They basically play every night. Here are some plays to help you keep up with the field while also separating you from the chalk. Continue reading →
Luck is a big part of baseball. Whether it be the ball bouncing a certain way or even a fielder losing a fly ball in the sun. For fantasy baseball, this can be important as it can impact a player’s numbers. There are two main metrics we use to see who is getting lucky or who is getting unlucky. The first one is BABIP. BABIP stands for – Batting Average on Balls in Play. Three factors that mainly influence BABIP are defense, luck, and talent level. The second one is LOB% which stands for Left on Base Percentage. This measures the percentage of base runners that a pitcher leaves stranded on base. Using both of these can give you a good idea if a pitcher is under or overachieving. While there are league averages, you really should measure these compared to the pitcher’s career average. For example, Kershaw always has a low BABIP because he is a fly ball pitcher and strikes batters out a lot. In the below chart I have the luckiest and unluckiest pitchers so far this season. Look below and I will go through some of these pitchers. Continue reading →
Back at it again for tonight’s huge 13-game main slate. Last night was kind of a wash for me, but tonight is where we get back full-fledged in the win column. Or at least I hope. Let’s take a look at who we can target tonight. Continue reading →
Hey, how are you? Are you confident and cruising or desperate and humbled? Investing such high draft capital in any superstar succumbed to injury can be soul crushing. But no matter if you’re dominating the field or scraping to get by, checking in on players and monitoring the waiver wire can keep you competitive. I don’t think a lot of owners are aware that most leagues keep stats for the last 7, 14, 21 and 30 days, which is extremely important in deciding on free agents. If a player is consistently showing up in different sample sizes, you can probably assume it’s more than a hot streak. Continue reading →