With drafts beginning to ramp up, it is important to monitor where players are being draft on a regular basis. Throughout draft season, I will be doing that work for you with regular updates on the Average Draft Position on NFBC up until Opening Day. Read the rest of this entry »
With drafts beginning to ramp up, it is important to monitor where players are being draft on a regular basis. Throughout draft season, I will be doing that work for you with regular updates on the Average Draft Position on NFBC up until Opening Day.
Acquiring saves in fantasy baseball is becoming more and more of a headache. The Tampa Bay Rays had 12 different pitchers notch a save in 2020. Imagine if it was a season of normal length? With the league trending towards using their best pitchers in high leverage positions instead of the conventional only ninth-inning role, it seems like grabbing saves are only going to get more complicated. Below you will see some closers that likely won’t be too popular but could help you in the long run. A quick side note, there are a lot of free-agent relief pitchers (ie. Brad Hand) so things can definitely change. If you would like to read part one you can check it out here.
Previously, I looked at the largest auction player bargains of 2020. These were the players who were highly profitable after considering their opportunity cost of acquisition. Value should always be considered relative to cost.
We defined the bargain amount as:
$Bargain = $Value – $AAV
We defined $Value as the accumulated 5×5 full season rotisserie value of each player, and $AAV as the average auction cost to purchase the player pre-season. We made use of the July NFBC Average Auction Values, which was one of the best sources of “market” data this year.
Whereas I previously looked at the players who generated the most excess value in 2020, today’s attention will be directed to what I refer to as the value drainers. These are the largest “rip-offs” of the season – i.e., the players who earned the most negative profits for fantasy owners on a full season basis (net of their auction price).
Prior to unveiling 2020’s most unprofitable players, it is important to discuss one additional step in the analysis – the capping of values. I have previously spoken about this concept, but I will touch on it again today.
Eduardo Rodriguez was a player that I drafted on a few of my fantasy rosters this season. His NFBC average auction value during July drafts (auctions) was $7. In Tout Wars, I acquired the Boston pitcher for $10. Unfortunately, Rodriguez came down with COVID-19. He developed heart complications due to the virus, and consequently did not pitch a single inning in 2020.
The question is – what value did Rodriguez accumulate in 2020? What damage did he cost to your team’s aggregate value? Owners certainly lost their original investment on him, but how much more were they penalized? He wouldn’t have made it to one’s active roster – but how much did it cost owners for Eduardo taking up a bench spot?
I’ve started my 2020 draft prep (i.e. writing player previews) and thought I had all the information I needed. I was missing some useful pitcher information, a pitcher’s high fastball rate and how often they are behind in the count. The two measures aren’t publicly available, but they are useful to help see why a pitcher’s overall profile is off. I’m going to rehash each stat and go over some leaders and laggards.
Being ahead or behind in the count means more than strikeouts and walks. In the original research article at BaseballHQ ($$), I found that pitchers who are consistently ahead in the count limit hard contact. The theory goes that if ahead in the count, all a pitcher’s pitches are can be thrown. If behind, the pitcher may only have one or two pitches he can throw over the plate for strikes and the batter can wait and crush them.
First, I found being ahead or behind is sticky from season to season (i.e. predictable). It has about the same year-to-year correlation as strikeouts and groundballs. The key threshold I found was being ahead 50% of the time more than being behind. On average, these pitchers post a lower than average home run rate and have an ERA lower than their FIP and xFIP. For those pitchers constantly behind, their production drop doesn’t warrant any action.
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Justin is running his annual Too Early Mocks and the wonderful Smada has once again compiled the average draft data for our perusal.
The Top 3 SPs: Jacob deGrom, Shane Bieber, Gerrit Cole – deGrom went 1 in one league and Cole went 4 in another, but otherwise they averaged 7.7, 9.2, and 10.3, respectively. It’s not that I’m against the hitters going top 6 (Betts, Acuña, Tatis, Trout, Soto, and Turner), but I don’t understand how the mega aces aren’t more often in the top 3. I feel like the community at large is pushing pitching up (and not just the NFBC ecosystem), but the best of the best still don’t go high enough as far as I’m concerned.
Dinelson Lamet 53.7 ADP – He was unquestionably excellent as he flipped his pitch mix to throw the slider 53% of the time and his fastball was the best we’ve ever seen it, but he’s still at best a two-pitch guy and ended the season with a biceps injury that cost him the playoffs. That said, his slot as the 19th starter off the board matches where I put him in my initial rankings. Short of developing a third pitch, my biggest questions are whether or not the fastball can remain a plus offering and if he can continue to keep the ball in the yard – those are no doubt related as the fastball improvements played a big role his 8% HR/FB rate.
The key to succeeding in fantasy baseball:
Maximize the value of your accumulated roster.
At the start of a draft, each fantasy owner is handed a set of draft picks. Each owner receives a 1st round selection, a 2nd round selection, a 3rd round selection, and so on. If your league chooses to hold an auction rather than a more traditional serpentine draft – each team is handed $260 at the auction start. Players are then purchased throughout the auction with the use of these finite funds.
The key to gainfully drafting is not to draft a 3rd round player in the 3rd round, or a 9th round player in the 9th round, etc. The key is to draft a 3rd round player in the 10th round, and a 9th round player in the 20th round.
In an auction, if you purchase every player at his projected value, you will have paid $260 of auction dollars for $260 of value. What you will have is an average team. You won’t finish last, but you won’t finish first. Instead, with your $260 – you need to buy some $290 or $300 or $310+ of total value.
The key is to make a “profit” on as many roster spots as you can. The goal is to purchase players at bargain prices.
I have asked this question before – but it is worth asking every now and again. Suppose that you competed in an NFBC fantasy baseball auction back in July this season.
Which player was the better purchase?
OR
Before opining on the better Philly outfield purchase of 2020, let’s take a look at their final 2020 stat lines:
| Player | R | HR | RBI | SB | AVG |
|---|---|---|---|---|---|
| Bryce Harper | 41 | 13 | 33 | 8 | .268 |
| Andrew McCutchen | 32 | 10 | 34 | 4 | .253 |
On the surface, it seems like a pretty obvious answer. Harper had more HR, SB, R and a better batting average than McCutchen. He had just one fewer RBI.
After focusing the 2021 prep on hitters for the last couple of weeks, it’s time for pitchers to take center stage. There is no way to hide that the following is mostly a data dump with a small bit of analysis. Welcome to mid-October 2021 draft prep.
These projections are about as simple as it gets. It takes a pitcher’s 2020 results and projections the pitcher going forward based just on those stats. With some pitchers completely changing their pitch arsenal, I find these projections are a better evaluation tool than multi-year averages. For a reference, here is the full write up on how they are created.
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This month last year, Connor Kurcon of Six Man Rotation set out to quantify the location aspect of command (or “LRP”). By establishing an accounting system that credited and debited pitchers for changes in ball-strike counts based on the attack zone of and hitter’s disposition (take? swing? ball in play?) for every pitch, he effectively created an alternative to Pitch Value (PVal) that rewards optimal movement through ball-strike counts but with much more pitcher and hitter context.
His findings are as you’d expect: Jacob deGrom and Justin Verlander lead the pack, with Gerrit Cole, Max Scherzer, and Clayton Kershaw not far behind. Other budding aces like Jack Flaherty and Mike Clevinger pepper the list, and some pleasant surprises (such as Brendan McKay, Caleb Smith, and, for those still thirsting, Jake Odorizzi) are scattered throughout as well. Out of the bullpen, newly anointed relief ace Nick Anderson led the pack followed by the underrated Emilio Pagán, breakout reliever Giovanny Gallegos, and others.
Near the end of his post, Kurcon includes a subhead dedicated to Kyle Hendricks where he highlights how Hendricks, widely respected as a command artist, fares lukewarmly by measure of LRP. He then reminds us “LRP doesn’t paint the full picture of command.” True that.
Fortunately, Kurcon has left the door open for me to tie up loose ends with find Gs I’ve been meaning to write up for a couple of months now. Never fear, Hendricks is the command artist we know and love — it’s just that he relies heavily on incurring contact in optimal pitch locations. It is a needle very few pitchers can thread, but Hendricks does it masterfully.
This is the fourth article in my wPDI vs. CSW series. You can catch up by reading the first three articles – on called strikes, whiffs and residuals.
Here is a quick summary of some of the basics of wPDI & CSW from this series:
Last year, I developed the Weighted Plate Discipline Index (wPDI) framework, whereby all pitches can be classified into six different outcomes as follows:
| Outcome | Outcome | Outcome | Outcome | Outcome | Outcome | |
|---|---|---|---|---|---|---|
| A | B | C | D | E | F | |
| Zone? | Out of Zone | Out of Zone | Out of Zone | In Zone | In Zone | In Zone |
| Swing? | Swung On | Swung On | No Swing | Swung On | Swung On | No Swing |
| Contact? | No Contact | Contact Made | No Swing | No Contact | Contact Made | No Swing |
Each outcome is then assigned a weight, or an index. A% through F% are the percent of pitches thrown in each outcome. The general formula for wPDI, the Weighted Plate Discipline Index is given as:
wPDI = IndexA * A% + IndexB * B% + IndexC * C% + IndexD * D% + IndexE * E% + IndexF * F%
wPDI can generate an all-in-one sortable metric used to evaluate pitchers. The plate discipline framework may be tailored to mimic (or to correlate to) various measures of deception or effectiveness.
In the first three articles of this series, we developed indices for wPDI to approximate the PitcherList metric, CSW. The Called Strikes + Whiffs (CSW) statistic was featured in last year’s FSWA Research Article of the Year by Alex Fast, and is defined as:
Called Strikes + Whiffs
Total Pitches
We separately tacked the called strikes and whiffs components, and landed on the following wPDI equation to represent CSW: Read the rest of this entry »