KATOH’s Top 100 Prospect List for 2016
Please note that this is not the most recent list. An updated version can be found here.
Last week, I published a 2,000-plus word primer on the KATOH projection system I use to forecast prospects. Most notably, I discussed the improvements I made to the model and also explored how well individual minor league statistics can predict big league success. Today, I’m back with the end result of all of my math: KATOH’s top 100 list.
I know you probably know this, but I’d like to reiterate that you shouldn’t think of this as “Chris Mitchell’s Top 100 List,” and certainly not “FanGraphs’ Top 100 List.” This is simply the output from a flawed statistical model that fails to take into account many of the factors that go into evaluating a prospect. As always, you should never choose between stats and scouting — or beer and tacos — if you don’t have to.
There are players on this list who feel way too high to me, and there are players who feel way too low to me. But that’s not necessarily a bad thing. Plus, there are fewer of those head-scratchers than there were in previous versions. I consider this to be a good sign, considering my new model takes into account more information. I’ll be going more in-depth on each of these prospects — and many others, as well — as I work my way through the team lists.
I won’t say much else since I know most of you will just skip down to the leaderboard anyway. But first a couple of notes:
- This list only considers players with at least 300 plate appearances or batters faced in 2015. So most 2015 draftees and players below full-season ball were excluded. I will touch on some of the guys with fewer than 300 PA or BF in the team lists, but left them out here due to the limited amount of data on them.
- This list only considers 2015 minor league stats. So stats from 2014 and earlier aren’t considered. I realize this this might not be ideal, so I included each player’s 2014 KATOH forecast (using the new model) when applicable (ie. at least 200 PA or BF in 2014). Use that for a bit more context if you wish. I hope to condense things into one tidy number in the future, but don’t want to rush into using an arbitrary weighting system.
Enjoy.
Player | Team | WAR thru 28 | 2014 WAR thru 28 | |
1 | Max Kepler | Twins | 19.6 | 0.8 |
2 | J.P. Crawford | Phillies | 17.5 | 6.3 |
3 | Corey Seager | Dodgers | 16.4 | 9.4 |
4 | Julio Urias | Dodgers | 15.6 | 4.5 |
5 | Orlando Arcia | Brewers | 14.5 | 4.5 |
6 | Alex Verdugo | Dodgers | 14.5 | 3.4 |
7 | Jake Bauers | Rays | 13.3 | 3.4 |
8 | Albert Almora | Cubs | 12.8 | 3.3 |
9 | Nomar Mazara | Rangers | 12.7 | 5.4 |
10 | Ozhaino Albies | Braves | 12.4 | 4.0 |
11 | Manuel Margot | Padres | 12.0 | 6.2 |
12 | Billy McKinney | Cubs | 11.2 | 1.7 |
13 | Jamie Westbrook | D-backs | 11.2 | 0.9 |
14 | Gavin Cecchini | Mets | 11.2 | 1.9 |
15 | Jacob Nottingham | Athletics | 11.0 | 0.1 |
16 | Alex Reyes | Cardinals | 10.8 | 1.6 |
17 | Tyler Glasnow | Pirates | 10.8 | 5.4 |
18 | Jose Berrios | Twins | 10.6 | 4.5 |
19 | Jose Peraza | Dodgers | 10.6 | 5.3 |
20 | Willson Contreras | Cubs | 10.1 | 0.1 |
21 | A.J. Reed | Astros | 9.9 | 1.3 |
22 | Chance Sisco | Orioles | 9.7 | 7.1 |
23 | Rafael Devers | Red Sox | 9.6 | 2.3 |
24 | Lewis Brinson | Rangers | 9.2 | 0.4 |
25 | Ruddy Giron | Padres | 9.1 | #N/A |
26 | Austin Meadows | Pirates | 8.7 | #N/A |
27 | Samir Duenez | Royals | 8.3 | 2.3 |
28 | Dom Nunez | Rockies | 8.0 | #N/A |
29 | Lucas Giolito | Nationals | 7.9 | 2.5 |
30 | Ramon Flores | Brewers | 7.7 | 4.1 |
31 | Trea Turner | Nationals | 7.6 | 0.6 |
32 | Willi Castro | Indians | 7.5 | #N/A |
33 | Josh Bell | Pirates | 7.5 | 3.1 |
34 | Juremi Profar | Rangers | 7.5 | 0.7 |
35 | Franklin Barreto | Athletics | 7.4 | 2.9 |
36 | Jesse Winker | Reds | 7.4 | 3.0 |
37 | Sam Travis | Red Sox | 7.3 | 1.9 |
38 | Carlos Tocci | Phillies | 7.3 | 0.5 |
39 | Renato Nunez | Athletics | 7.1 | 2.3 |
40 | Brett Phillips | Brewers | 6.8 | 6.2 |
41 | Blake Snell | Rays | 6.4 | 0.9 |
42 | Trey Mancini | Orioles | 6.4 | 0.5 |
43 | Jeimer Candelario | Cubs | 6.4 | 0.8 |
44 | Gleyber Torres | Cubs | 6.3 | 3.0 |
45 | Hanser Alberto | Rangers | 6.2 | 1.8 |
46 | Reese Mcguire | Pirates | 6.1 | 2.7 |
47 | Byron Buxton | Twins | 6.1 | #N/A |
48 | Mallex Smith | Braves | 6.1 | 0.9 |
49 | Jomar Reyes | Orioles | 6.0 | 1.1 |
50 | Alex Bregman | Astros | 5.9 | #N/A |
51 | Tyler Heineman | Astros | 5.9 | 1.4 |
52 | Andrew Knapp | Phillies | 5.7 | 0.1 |
53 | Dominic Smith | Mets | 5.6 | 0.6 |
54 | Boog Powell | Mariners | 5.5 | 0.7 |
55 | Ben Gamel | Yankees | 5.5 | 0.2 |
56 | Cole Tucker | Pirates | 5.4 | 0.5 |
57 | Javier Betancourt | Brewers | 5.4 | 1.1 |
58 | Gary Sanchez | Yankees | 5.3 | 1.4 |
59 | Nick Williams | Phillies | 5.3 | 0.3 |
60 | Edwin Diaz | Mariners | 5.2 | 0.9 |
61 | Clayton Blackburn | Giants | 5.2 | 4.6 |
62 | Christian Arroyo | Giants | 5.1 | 4.6 |
63 | Josh Hader | Brewers | 5.1 | 1.5 |
64 | Yairo Munoz | Athletics | 5.0 | 2.2 |
65 | Jose De Leon | Dodgers | 4.8 | 1.4 |
66 | Austin Barnes | Dodgers | 4.8 | 4.8 |
67 | Daniel Robertson | Rays | 4.8 | 5.1 |
68 | Rhys Hoskins | Phillies | 4.7 | 0.1 |
69 | Brandon Drury | D-backs | 4.6 | 3.0 |
70 | Michael Fulmer | Tigers | 4.6 | 0.7 |
71 | Zachary Davies | Brewers | 4.6 | 2.4 |
72 | Francis Martes | Astros | 4.4 | #N/A |
73 | Harold Ramirez | Pirates | 4.4 | 0.3 |
74 | Jacob Faria | Rays | 4.4 | 0.7 |
75 | Ariel Jurado | Rangers | 4.4 | #N/A |
76 | Tyler White | Astros | 4.3 | 1.0 |
77 | Willie Calhoun | Dodgers | 4.3 | #N/A |
78 | Franmil Reyes | Padres | 4.3 | 1.2 |
79 | Dylan Cozens | Phillies | 4.2 | 0.2 |
80 | Miguel Almonte | Royals | 4.2 | 0.9 |
81 | Kevin Padlo | Rockies | 4.1 | #N/A |
82 | Nick Gordon | Twins | 4.1 | 0.6 |
83 | Jack Flaherty | Cardinals | 4.1 | #N/A |
84 | Jake Thompson | Phillies | 4.1 | 2.6 |
85 | Rowdy Tellez | Blue Jays | 4.0 | 1.1 |
86 | Steven Matz | Mets | 4.0 | 1.4 |
87 | Carson Kelly | Cardinals | 4.0 | 3.7 |
88 | Francelis Montas | White Sox | 4.0 | 1.7 |
89 | Jorge Polanco | Twins | 4.0 | 1.7 |
90 | Justus Sheffield | Indians | 3.9 | #N/A |
91 | Victor Reyes | D-backs | 3.9 | 0.0 |
92 | Robert Stephenson | Reds | 3.9 | 1.1 |
93 | Spencer Adams | White Sox | 3.9 | #N/A |
94 | Cheslor Cuthbert | Royals | 3.9 | 3.1 |
95 | Ryan Castellani | Rockies | 3.8 | #N/A |
96 | Ronald Torreyes | Dodgers | 3.8 | 4.9 |
97 | Zach Lee | Dodgers | 3.8 | 1.0 |
98 | Joey Rickard | Rays | 3.8 | 0.1 |
99 | Malquin Canelo | Phillies | 3.7 | 0.1 |
100 | Brent Honeywell | Rays | 3.7 | #N/A |
And so Marlins and Angels fans don’t feel left out…
Player | Team | WAR thru 28 | 2014 WAR thru 28 | |
141 | Tomas Telis | Marlins | 2.9 | 4.0 |
175 | Tyler Deloach | Angels | 2.5 | 1.0 |
Chris works in economic development by day, but spends most of his nights thinking about baseball. He writes for Pinstripe Pundits, FanGraphs and The Hardball Times. He's also on the twitter machine: @_chris_mitchell None of the views expressed in his articles reflect those of his daytime employer.
Sorry for my ignorance, could someone explain the “WAR thru 28” and “2014 WAR thru 28” numbers?
WAR Thru 28 is the WAR this system projects each player to accumulate by age 28.
2014 WAR Thru 28 is the same statistic calculated using the 2014 version of the system.
Nah, it’s using the new system on their 2014 minor league stats.
This list only considers 2015 minor league stats. So stats from 2014 and earlier aren’t considered. I realize this this might not be ideal, so I included each player’s 2014 KATOH forecast (using the new model) when applicable (ie. at least 200 PA or BF in 2014). Use that for a bit more context if you wish. I hope to condense things into one tidy number in the future, but don’t want to rush into using an arbitrary weighting system.
KATOH only considers one year of stats. So “WAR thru 28” uses 2015 stats, while “2014 WAR thru 28” uses 2014 stats.
Chris, first, I LOVE this system. My eyes perk up whenever I see KATOH in a headline.
Anyway, with the information you provided above re: 2015/2014, does KATOH include stats for the player potentially playing in MLB in 2015 when using the 2014 stats (and potentially gaining WAR.)
Also, I know the system isn’t old enough, but do you plan to cross-reference the projections with actual output for players that are projected to make adjustments?
Thanks again
Why does no one have a 2014 WAR thru 28 over 10, while 20 people have WAR thru 28 over 10? Doesn’t seem to pass the eye test.
Generally those guys lose their prospect eligibility