Archive for College

More Words Than You’d Expect on the Cubs’ 10th-Round Pick

A few days ago, I shared KATOH’s thoughts on the college players who were drafted (and not drafted) in this year’s amateur draft. There were hundreds of them. Many of the players with very good projections went in the first round, including Nick Senzel, A.J. Puk and Cody Sedlock. But the player with the very best KATOH projection fell all the way to the 10th round. The end of the 10th round. That player is Dakota Mekkes, whom the Cubs drafted with the 314th-overall pick out of Michigan State.

Mekkes was straight up filthy this past season. Pitching in the Big 10, Mekkes struck out a remarkable 96 batters in just 57 innings without surrendering a single home run. The catch is that he pitched exclusively in relief — though he wasn’t used like a typical reliever, and actually pitched more like a starter in some cases. Mekkes averaged over two innings per appearance in relief, and frequently threw many more than that. Most notably, he tossed six shutout innings in an extra-inning game against Maryland. Unlike most college relievers, he wasn’t a one-inning guy, which helps explain why KATOH likes him more than most relievers.

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Generating Statistical Comps for First-Round College Hitters

Last week, I published KATOH projections for the players who were drafted out of college in this year’s amateur draft*. As much as I love my projections, they only can only tell you so much about a player. Knowing a player’s projected WAR over a specified period is interesting, but it’s only one number. It simply tells you where a player falls on a spectrum of “good” and “bad.” It tells you nothing about how that player might accumulate those wins, or what he might look like doing it.

*Day one here, day two here, and day three here.

To put some faces to some of the hitters drafted in the first round, I generated some statistical comps using weighted Mahalanobis Distance calculations to college players since 2002. This analysis considers offensive statistics only, so the comps have not been filtered at all by position. The WAR columns refer to that player’s WAR through age 27.

You may notice that Mariners first-round pick Kyle Lewis isn’t included here. Lewis played in a non-elite conference, which has produced very few big leaguers historically. This made generating a KATOH-style projection for him less than straightforward.

*****

2. Nick Senzel, IF, Cincinnati

Proj. WAR thru age-27: 2.0

Nick Senzel’s Mahalanobis Comps
Rank Player Proj. WAR Actual WAR
1 Scott McClanahan 1.5 No MLB
2 Josh Donaldson 1.4 8.8
3 Russ Adams 1.7 -0.5
4 Stephen Cardullo 1.3 No MLB
5 Shane Robinson 1.4 0.4
6 Ryan Braun 1.1 23.0
7 Tyler Colvin 2.9 1.4
8 Mike Baxter 1.9 1.3
9 Josh Alley 2.4 No MLB
10 Ryan Schimpf 1.4 No MLB

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KATOH’s Top Undrafted College Players

On Friday, I published a post projecting the players taken on day one of the draft. On Saturday, I did the same for the players taken on day two. And yesterday, I did the same for those players selected on day three. Over 1,200 players were drafted across 40 rounds in this year’s draft. But KATOH still managed to find a few mildly interesting players who weren’t selected. Below, you’ll find the seven draft-eligible but undrafted players with the best projections. As a reminder, this analysis covers the following conferences: AAC, ACC, Big 10, Big 12, Big West, Pac 12 and SEC. I expect a few of these guys will sign as undrafted free agents in the coming weeks.

*****

Anthony Papio, RSr., OF, Maryland

Proj. WAR thru age-27: 1.0

Papio had a solid season as a redshirt senior. I should note that his projection is partly due to a quirk with my model. The Big 10 model includes a variable that makes it slightly less harsh on older players. But since Papio’s the rare 23-year-old college player, it perhaps credits him a bit more than it should. Still, an .800 OPS with some speed in the Big 10 ain’t bad.

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Projecting the College Players Taken on Day Three of the Draft

On Friday, I published a post projecting the players taken on day one of the draft. On Saturday, I did the same for the players taken on day two. Let’s see what my math says about the college players taken on day three of draft, which covered rounds 11-40. The vast majority of these players will flame out in the minor leagues over the next couple of years, and you’ll never hear from them again. But at least a few of them will go on to play in the big leagues.

As a reminder, I only have projections for college players who logged at least 100 plate appearances or batters faced in select major NCAA conferences this year, including the: AAC, ACC, Big 10, Big 12, Big West, Pac 12 and SEC. I do not have projections for high-school players.

Below, you’ll find thoughts on some players of note from rounds 11-40, followed by a giant, sortable table with projections for all drafted players for whom I have projections. The cumulative WAR projections will probably feel a bit low to you. They feel low to me too. For this reason, I recommend you don’t take the projections themselves literally, but instead use them to compare draftees to other draftees.

*****

337. Chad Donato, RHP, Houston

Proj. WAR thru age-27: 2.1

Donato pitched excellently in West Virginia’s rotation. His strikeout- and walk-rate differential was among the best for starters in major conferences. The Astros have several KATOH darlings in this group. Houston’s front office has either hacked my computer or is doing something similar to what I’m doing.

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Projecting the College Players Taken on Day Two of the Draft

Yesterday, I published a post projecting the players taken on day one of the draft. Between then and now, an additional 239 players were drafted. Let’s take a look at what my math says about some of those players. As a reminder, I only have projections for college players who logged at least 100 plate appearances or batters faced in select major NCAA conferences this year, including the: AAC, ACC, Big 10, Big 12, Big West, Pac 12 and SEC. I do not have projections for high school players.

Below, you’ll find thoughts on some players of note from rounds 3-10, followed by a giant, sortable table with projections for all drafted players for whom I have projections. The cumulative WAR projections will probably feel a bit low to you. They feel low to me too. For this reason, I recommend you don’t take the projections themselves literally, but instead use them to compare draftees to other draftees. Read the rest of this entry »


Projecting the College Players Taken on Day One of the Draft

As you’re probably aware, the first two rounds of Major League Baseball’s amateur draft took place last night. With the first 77 picks off the board, let’s take a look at what my KATOH projection system has to say about the college players from the major conferences who were taken thus far. I’ll be back with projections for the remaining players once we know where they’re going.

These projections are far from gospel. Scouting the stat line is always dangerous. It’s even more dangerous than usual at the college level, where the samples are small, the players are raw, and the quality of opposing pitching runs the gamut. Nonetheless, performance is often an overlooked component of prospect evaluation, and the players who outperform expectations in college and the minors often go on to do the same in the big leagues.

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Kyle Lewis and the Elite Small-Conference Draft Prospect

The amateur draft is just one day away, and it’s still unclear whom the Phillies plan to take first overall. One player who’s vaulted himself into top-five consideration, and might even be in the mix for 1-1, is Kyle Lewis, an outfielder from Mercer University. Lewis’ stat line is about as good you’ll see from a college hitter: .395/.535/.731. But there’s a catch: he’s a product of the Southern Conference, which churns out very few big leaguers and features a rather low level of competition.

Lewis’ competition level makes it a bit difficult to gauge just how good he is, especially from a statistical standpoint. Yes, .395/.535/.731 is a very good stat line, but it isn’t immediately clear how that compares to Corey Ray’s .319/.396/.562 performance in the ACC — a conference that is likely chock-full of future professional ballplayers.

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2016 Draft: Kyle Lewis Swings Way to Top-Five Consideration

After a breakthrough summer in the Cape Cod League, Mercer outfielder Kyle Lewis entered the spring as a potential first-round pick and has managed to dramatically improve his stock over the course of the season. He’s among the country’s leading hitters with a .411/.545/.729 line, 17 homers and 61 walks against 43 strikeouts at the time of this publication, numbers that helped him win the Southern Conference Player of the Year Award for the second straight season. With elite performance to back up five-tool promise and one of the best swings in the class, he’s in the conversation to be one of the first five players off the draft board.

I saw Lewis this past weekend when the Bears traveled to North Carolina for their regular-season series finale at UNC-Greensboro. The video below offers two angles from batting practice and a couple throws from center field, concluding with his first three plate appearances of the series. Other draft follows from this series get their own blurbs at the end.

Physical Description

Playing in the Southern Conference, Lewis looks pretty different from everyone else on the field. He’s listed at 6-foot-4, 210 pounds, and features a high-waisted, athletic build that should add another 15 pounds or so. He shows fast-twitch ability in all phases, coupling athletic movements in the box with fluid actions in the field.

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Will Craig’s Power Bat Buoys 2016 Draft Stock

In a draft year that’s churning out a better college hitting crop than the industry expected before the season began, Wake Forest infielder Will Craig is another such college hitting prospect that’s making a strong case for a top-two-rounds selection.

I saw Craig this weekend when the Demon Deacons visited N.C. State for a three-game series that included a rare Monday night game, which aired on ESPNU. He’s a high follow mostly for his bat, and he’s done nothing but rake since he arrived in Winston-Salem. As of publication, he’s comically slashing .466/.581/.909, placing him inside the nation’s top five in all three categories. Perhaps then it’s no wonder that he surfaces as the ACC’s top draft-eligible batter in Carson Cistulli’s latest installment of top college players by (maybe) predictive stats.

The video below moves from batting practice to pre-game infield to game swings. For the sake of an evaluation, it helped that he was facing N.C. State left-hander Ryan Williamson, a solid pro prospect who gets his own video and bullet point further down. Both videos also feature receiving demonstrations by N.C. State catcher Andrew Knizner, another solid prospect who gets mentioned in this space.

Physical Description

Craig looks every bit of his listed 6-foot-3, 235-pound constitution, a big-bodied frame that has reached its full development. His natural strength is concealed by a soft, thick build that’s supported by a pair of tree trunks. He also has unexpected rotational athleticism for such a big dude, which is more apparent when he’s pitching than when he’s doing anything else. Ideally, his pro training regimen trims 10-15 pounds and replaces the void with muscle. Craig was drafted by the Royals in the 37th round of the 2013 draft out of Science Hill HS (Tenn.), where he teamed with Tigers lefty Daniel Norris.

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The Top College Players by (Maybe) Predictive Stats

On multiple occasions last year, the author published a statistical report designed to serve as a mostly responsible shorthand for people who, like the author, possess more enthusiasm for collegiate baseball than expert knowledge of it. Those reports integrated concepts central to much of the analysis found at FanGraphs — regarding sample size and regression, for example — to provide something not unlike a “true talent” leaderboard for hitters and pitchers in select conferences.

In recent weeks, I’ve revisited for the 2016 college campaign. What follows represents the most current installment of a possibly infinite series.

As in the original edition of this same thing, what I’ve done here is to utilize principles introduced by Chris Mitchell on forecasting future major-league performance with minor-league stats.

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