This is an updated version of an article originally posted in 2013 and then reposted in 2015 and 2017. It’s a vitally important exercise to perform, so I think it’s worthwhile to continue to resurface it each season around this time.

Heading into the final two months of the season, the effect any individual player will have on our place in the standings has continued to diminish, which means that this time of year represents one of the final chances to improve our teams. It probably doesn’t need to be stated, but it’s important to reiterate for those still clinging to preseason values (I usually cling to them far longer than most, but even I know to give them up at this point!) — you need to essentially throw player values out the window and trade for needs based on your position in the various statistical categories. Don’t worry about overpaying if you still expect the trade to net you positive points. Obviously, you want to make a trade that brings back the greatest value in return and gain you the most standings points, but if the best return offered to you is a player whose owner paid $15 for him during the auction for your $25 player, it’s still absolutely worth accepting if you determine that it should gain you points.

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Yesterday, I examined hitters who owners missed on preseason and what could be done to prevent such mistakes in the future. Today, the underachievers go under the microscope. In my previous article, I used Paul Sporer’s “All First Half” articles for reference. With no underachieving articles out yet, I will look for players with differences in ADP and current rank using our auction calculator.

Extended Injury Stays

Daniel Murphy

I lamented last offseason about missing out on J.D. Martinez’s great 2017 season. I didn’t want to miss out again and was willing to take a chance on Daniel Murphy’s discount.

When I created his projection, I account for six weeks off but it was on the short side. Additionally, once he returned, he wasn’t productive for a few weeks but has a .859 OPS in July.

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We are all learning, modifying, or destroying ideas all the time. Rapid destruction of your ideas when the time is right is one of the most valuable qualities you can acquire. -Charlie Munger

It’s time to see if I need to adjust my fantasy baseball beliefs by analyzing the first half busts and breakout lists. While it’s great to acknowledge these players, owners need to sit down and figure out why everyone missed on them. By hitting on one or two of these breakouts, a team could be competing for the top spot. Here are the groups and how to identify the breakout next preseason.

For the player situations I analyzed, I’m used Paul Sporer’s First Half All Value Stars and Fantasy Team for inspiration. I looked for actionable traits or tells which can be used next season.

Unknown Playing Time

Jesus Aguilar

Everyone understood coming into this season that the Brewers playing time situation was going to be a mess, so not owning Aguilar is understandable. He was to be in a platoon with Domingo Santana with middling projections. The deal with Aguilar, he really didn’t have a horrible platton split. It was .372 wOBA vs .338 wOBA in 2017. It’s .444 vs .405 this season.

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The All-Star game has come and gone, but the festivities are ongoing here at RotoGraphs. It’s time to rank the first half’s “All-Sell-High Team.” These are players who had big first halves, but who aren’t necessarily the best bets to repeat that performance in the second half. Without further ado, let’s get right to the list: Read the rest of this entry »

Contrary to popular belief, the secret to rebuilding (and winning) your fantasy league is not hoarding prospects. This season, you could be waiting patiently for the arrivals of Michael Kopech, Willie Calhoun, and Luis Urias to save your team, or you could have jumped on pop-up producers like Max Muncy, Jesus Aguilar, and Ross Stripling. Last year, Aaron Judge, Luis Severino, and Charlie Morton were universally available if your timing was right.

The thing about prospects is that sometimes they pan out, and sometimes they don’t. Even a “successful” one like Ronald Acuña has just a 114 wRC+, with a rest-of-season projection slightly below that. In real life, that’s fantastic for a 20-year-old and Acuña is a likely future star. But in the meantime his production is nothing special.

And again: Acuña is a success story. Owners might wait years for the likes of Byron Buxton, Dansby Swanson, and Alex Reyes to carry their teams to relevancy. All the while, players like the following four who are owned in less than 40 percent (well, actually, 43 percent) of Ottoneu leagues have been quietly carrying contenders: Read the rest of this entry »

As we push toward the All-Star break, it’s time to look at young arms and how their innings are tracking. I used last year’s total plus 25% for a rough estimate of what teams might be looking to use as their bar for a guy who they want to limit. Now just they because they might have enough innings “available” based on this calculation doesn’t mean the team won’t still look to limit them if they have health concerns. I think it’s fair to say that if they have about 85 innings or so left in the tank, then overwork won’t be a driving force behind limiting a pitcher in the second half.

• 85+ IP left isn’t a major concern
• 65-84 IP left are guys to watch
• <=64 IP left are probably in danger as they were probably injured in ‘17

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A couple weekends ago, Dave Appelman asked my fellow writers and me what features we’d like to see available at RotoGraphs (more additions are in the works) and a FAAB (free agent acquisition budget) bid estimator was discussed. With so many leagues and so many bidding setups, I accepted the daunting challenge. I’m beginning to produce some limited usable results.

Before I go into the many inputs in FAAB bids such as declining budgets and absentee owners, I needed:

1. A way to measure owner seniment before the normal Sunday FAAB bids.

2. A reliable source of FAAB bids.

For the first source, I’d like to thank fellow RotoGraphs contributor, Al Melchior for pointing out that CBS Sportsline displays historic weekly ownership rates. Every host website will display ownership rates. What was important with this source is they have a ton of quick grab waiver wire leagues. As soon as a player bursts on the scene, owners can go pick them up off the wire. The ownership rates for these hot commodities immediately begin ticking up. These values are available but the bases need rounding a few times to collect them.

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Yesterday, I discussed the seven players whose ownership rate jumped the most in CBS leagues. Today, I’m going to check in on the dropped players. I often find opportunity here a pitchers coming off one bad start get jettisoned or a hitter in a cold spell are kicked to the curb. The dropped list is a bit tougher to analyze, though, as many of them were bitten by the injury bug and placed on the DL, or demoted to the minors. So I’m only going to include those that are healthy and remain in the Majors.

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I’m going to blame Mark Melancon. I started out yesterday with the hope of writing about him. The article was selfish because I took a chance on Hunter Strickland before he was named the closer and my gamble paid off. With Melancon back, I wanted to see if his reduced velocity cutter would still be useful. And that was as far as I got with the article.

I was sick of thinking about fantasy baseball.  The problem is that when your livelihood requires continuous fantasy baseball content, this sickness can’t last. I tried to move onto another topic with no luck. After a few unproductive hours, mainly wasted on Twitter discussing valuing player risk, I just gave up. The dog days of summer hit me head on and I lost.

This event usually occurs me a couple times during the summer with content and demands coming at me constantly. I approach them two ways. Either I just power on and produce 20-grade material or beg my bosses for a break. As this article demonstrates, I am going with the first approach.

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There are, like, a dozen articles of this nature written daily — that is, “buy-low” candidates using some kind of xMetric, likely derived from Statcast. That’s fine. I’m not hating on it. This was my modus operandi when I first started writing at RotoGraphs, and it’s how I really started to understand the cyclicality of player performance and the differences between descriptive and predictive metrics.

Speaking of which, I have no desire to rehash the “what xwOBA should really represent” discussion that consumed the sabermetric sphere a week or two ago. (Although, for reference, I’ll link you to Baseball Prospectus, MLBAM’s Tom Tango, and FanGraphs’ Craig Edwards.) Primarily, I want to provide some facts about xwOBA followed by some non-facts about how I use xwOBA to keep my biases in check.

There are two important tenets to xwOBAism. At the player level, wOBA does not always converge on xwOBA…

1. in a given season.
2. over the course of a career.

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