Scouting the Statline – Top 100 Prospects for Dynasty

For those new to this series, Scouting the Statline focuses on statistical analysis using using curves and major league equivalencies to generate peak projections. Peak projections put all minor and major leaguers on equal statistical footing for comparative purposes.
We are constantly looking to fine-tune our data models to deliver improved results, most recently adopting a new approach to the way we order our rankings. Please follow this link to view the full list of over 1,600 eligible minor leaguers! Once the regular season starts, this list is updated on a weekly basis, while our 2022 prospect leaderboard will be updated daily! Watch these lists evolve and much more at scoutthestatline.com.
What’s New
The order of our rankings is now based on z-score!
What is Z-Score?
Z-score helps determine a player’s value compared to the rest of the league. By totaling the z-scores across multiple stats we believe help indicate a player’s future fantasy value, we have created a new ranking methodology!
Why the Change?
This is really two-fold.
- Our rankings were previously based on peak projected wRC+. We believe wRC+ is a useful real world “player value” data point, but fantasy players almost universally rely more heavily on stolen bases, which are not a part of the wRC+ calculation. We believe using z-scores helps give more credit to the speed demons out there. We have to strike a careful balance, however, because there are some ridiculously fast players in the low minors that will never advance due to limited bats and we don’t want them to benefit too much from the change!
- Eventually, we will roll out pitching translations. In order to integrate them into our rankings, we cannot use wRC+ since it is a hitting stat. However, since z-score is a standard comparative metric, it can be used for any set of data. Voila! While pitching translations are not yet ready, we have tested it with sample datasets and it passes the eye test.
At Scouting the Statline, we always believe the numbers are more important than the rank, but our new approach better aligns with traditional views of prospect rankings for fantasy..
The New Top 100
Rank | Name | Last Team | Age | Career PA | Peak wRC+ | Peak wOBA | Peak BA | Peak OBP | Peak SLG | Peak HR/600 | Peak SB/600 | CS | Peak BB% | Peak K% | Peak BABIP |
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
1 | Julio Rodriguez | SEA | 20 | 962 | 151.2 | 0.387 | 0.297 | 0.377 | 0.507 | 25 | 12 | 0 | 9.8% | 16.9% | 0.327 |
2 | Anthony Volpe | NYY | 20 | 663 | 136.2 | 0.364 | 0.234 | 0.355 | 0.478 | 26 | 17 | 0 | 12.9% | 19.4% | 0.252 |
3 | Jordan Walker | STL | 19 | 366 | 138.2 | 0.367 | 0.287 | 0.353 | 0.490 | 22 | 12 | 0 | 8.2% | 20.3% | 0.333 |
4 | CJ Abrams | SDP | 20 | 348 | 124.3 | 0.345 | 0.285 | 0.347 | 0.437 | 11 | 25 | 0 | 7.6% | 14.1% | 0.320 |
5 | Riley Greene | DET | 20 | 809 | 135.8 | 0.363 | 0.271 | 0.358 | 0.470 | 24 | 11 | 0 | 11.1% | 23.9% | 0.329 |
6 | Francisco Alvarez | NYM | 19 | 582 | 137.7 | 0.366 | 0.246 | 0.356 | 0.483 | 32 | 7 | 1 | 12.8% | 18.4% | 0.246 |
7 | Anthony Garcia | NYY | 20 | 394 | 130.3 | 0.355 | 0.217 | 0.326 | 0.493 | 41 | 15 | 0 | 13.6% | 35.2% | 0.271 |
8 | Oneil Cruz | PIT | 22 | 1475 | 128.6 | 0.352 | 0.270 | 0.330 | 0.480 | 25 | 16 | 0 | 8.1% | 22.0% | 0.314 |
9 | Gabriel Moreno | TOR | 21 | 802 | 137.6 | 0.366 | 0.289 | 0.345 | 0.499 | 25 | 5 | 0 | 6.6% | 11.8% | 0.293 |
10 | Josh H. Smith | TEX | 23 | 492 | 124.8 | 0.346 | 0.254 | 0.367 | 0.409 | 15 | 19 | 0 | 11.4% | 19.2% | 0.301 |
11 | Bobby Witt Jr. | KCR | 21 | 744 | 121.2 | 0.341 | 0.249 | 0.317 | 0.470 | 28 | 19 | 0 | 8.3% | 22.0% | 0.277 |
12 | Nick Yorke | BOS | 19 | 442 | 130.7 | 0.355 | 0.279 | 0.364 | 0.441 | 19 | 8 | 3 | 10.8% | 13.6% | 0.300 |
13 | Spencer Torkelson | DET | 21 | 530 | 134.0 | 0.360 | 0.234 | 0.350 | 0.477 | 30 | 4 | 0 | 13.8% | 20.4% | 0.242 |
14 | Andy Pages | LAD | 20 | 1029 | 133.1 | 0.359 | 0.226 | 0.344 | 0.483 | 34 | 5 | 0 | 12.0% | 23.1% | 0.241 |
15 | Khalil Lee | NYM | 23 | 1885 | 121.0 | 0.340 | 0.241 | 0.371 | 0.390 | 15 | 18 | 0 | 13.6% | 28.0% | 0.341 |
16 | Alek Thomas | ARI | 21 | 1273 | 127.0 | 0.350 | 0.267 | 0.347 | 0.447 | 19 | 10 | 0 | 9.8% | 18.2% | 0.306 |
17 | Brennen Davis | CHC | 21 | 692 | 128.5 | 0.352 | 0.244 | 0.348 | 0.456 | 26 | 8 | 0 | 11.0% | 23.9% | 0.288 |
18 | George Valera | CLE | 20 | 599 | 126.4 | 0.349 | 0.217 | 0.355 | 0.436 | 30 | 10 | 0 | 16.4% | 22.9% | 0.230 |
19 | Vidal Brujan | TBR | 23 | 1720 | 102.3 | 0.311 | 0.249 | 0.325 | 0.376 | 11 | 35 | 0 | 9.6% | 14.9% | 0.279 |
20 | Zac Veen | COL | 19 | 479 | 114.7 | 0.331 | 0.240 | 0.344 | 0.404 | 19 | 19 | 9 | 12.8% | 23.6% | 0.293 |
21 | Josh Lowe | TBR | 23 | 1951 | 113.3 | 0.328 | 0.241 | 0.329 | 0.418 | 20 | 20 | 0 | 11.2% | 25.4% | 0.301 |
22 | Jhonkensy Noel | CLE | 19 | 759 | 125.6 | 0.347 | 0.264 | 0.327 | 0.484 | 32 | 6 | 0 | 6.9% | 18.9% | 0.276 |
23 | Edouard Julien | MIN | 22 | 514 | 116.6 | 0.334 | 0.219 | 0.366 | 0.381 | 17 | 16 | 0 | 16.8% | 29.0% | 0.310 |
24 | Everson Pereira | NYY | 20 | 478 | 120.3 | 0.339 | 0.230 | 0.312 | 0.476 | 35 | 11 | 0 | 10.0% | 27.8% | 0.257 |
25 | Jarren Duran | BOS | 24 | 1163 | 108.1 | 0.321 | 0.258 | 0.327 | 0.397 | 15 | 24 | 0 | 7.7% | 23.1% | 0.319 |
26 | Richie Palacios | CLE | 24 | 618 | 115.0 | 0.331 | 0.260 | 0.356 | 0.385 | 7 | 16 | 0 | 11.6% | 18.8% | 0.321 |
27 | Triston Casas | BOS | 21 | 871 | 122.8 | 0.343 | 0.238 | 0.343 | 0.439 | 25 | 5 | 0 | 13.0% | 19.5% | 0.259 |
28 | Joey Wiemer | MIL | 22 | 472 | 114.7 | 0.331 | 0.234 | 0.329 | 0.428 | 27 | 14 | 0 | 10.6% | 24.5% | 0.275 |
29 | Robert Hassell III | SDP | 19 | 516 | 111.6 | 0.326 | 0.249 | 0.344 | 0.389 | 14 | 17 | 0 | 12.3% | 16.8% | 0.281 |
30 | Greg Jones | TBR | 23 | 535 | 98.8 | 0.306 | 0.234 | 0.321 | 0.366 | 15 | 31 | 0 | 9.3% | 30.8% | 0.330 |
31 | Miguel Vargas | LAD | 21 | 1330 | 120.3 | 0.339 | 0.275 | 0.342 | 0.428 | 17 | 7 | 0 | 8.5% | 14.6% | 0.299 |
32 | Ji-hwan Bae | PIT | 21 | 904 | 106.5 | 0.318 | 0.263 | 0.342 | 0.369 | 8 | 21 | 0 | 9.8% | 18.9% | 0.320 |
33 | Orelvis Martinez | TOR | 19 | 614 | 121.0 | 0.340 | 0.228 | 0.304 | 0.496 | 36 | 4 | 0 | 8.3% | 20.7% | 0.230 |
34 | Dustin Harris | TEX | 21 | 704 | 113.6 | 0.329 | 0.267 | 0.340 | 0.403 | 17 | 12 | 0 | 8.9% | 17.0% | 0.301 |
35 | Jairo Pomares | SFG | 20 | 557 | 121.5 | 0.341 | 0.271 | 0.315 | 0.479 | 27 | 3 | 0 | 4.9% | 23.1% | 0.314 |
36 | Josh Jung | TEX | 23 | 540 | 122.0 | 0.342 | 0.268 | 0.337 | 0.444 | 20 | 2 | 0 | 7.8% | 22.7% | 0.326 |
37 | Chris Gittens | NYY | 27 | 1189 | 123.3 | 0.344 | 0.235 | 0.346 | 0.436 | 28 | 0 | 0 | 13.7% | 31.4% | 0.315 |
38 | Samad Taylor | TOR | 22 | 1516 | 100.8 | 0.309 | 0.224 | 0.316 | 0.385 | 18 | 24 | 0 | 10.5% | 24.7% | 0.279 |
39 | Felix Valerio | MIL | 20 | 992 | 108.8 | 0.322 | 0.248 | 0.340 | 0.383 | 11 | 15 | 0 | 10.7% | 12.5% | 0.271 |
40 | Curtis Mead | TBR | 20 | 639 | 116.0 | 0.333 | 0.266 | 0.326 | 0.436 | 17 | 7 | 0 | 7.1% | 14.3% | 0.287 |
41 | Xavier Edwards | TBR | 21 | 1093 | 104.2 | 0.315 | 0.281 | 0.353 | 0.340 | 3 | 20 | 0 | 9.9% | 9.8% | 0.310 |
42 | Nick Gonzales | PIT | 22 | 369 | 116.9 | 0.334 | 0.247 | 0.329 | 0.435 | 20 | 5 | 2 | 9.8% | 27.6% | 0.322 |
43 | Drew Waters | ATL | 22 | 1754 | 104.9 | 0.316 | 0.252 | 0.320 | 0.393 | 12 | 18 | 0 | 8.1% | 26.6% | 0.335 |
44 | Tyler Freeman | CLE | 22 | 1172 | 111.9 | 0.326 | 0.282 | 0.336 | 0.397 | 7 | 10 | 0 | 4.2% | 9.9% | 0.305 |
45 | Leo Jimenez | TOR | 20 | 663 | 117.3 | 0.335 | 0.263 | 0.390 | 0.352 | 7 | 4 | 0 | 12.5% | 14.4% | 0.310 |
46 | Luis Matos | SFG | 19 | 781 | 109.9 | 0.323 | 0.268 | 0.319 | 0.423 | 17 | 12 | 0 | 5.7% | 11.0% | 0.278 |
47 | Nolan Jones | CLE | 23 | 1726 | 115.2 | 0.331 | 0.231 | 0.350 | 0.397 | 19 | 6 | 0 | 14.5% | 28.2% | 0.308 |
48 | Kevin Alcantara | CHC | 18 | 312 | 112.4 | 0.327 | 0.253 | 0.317 | 0.430 | 22 | 9 | 0 | 8.0% | 20.7% | 0.294 |
49 | Juan Yepez | STL | 23 | 1537 | 117.5 | 0.335 | 0.246 | 0.323 | 0.445 | 24 | 2 | 1 | 8.9% | 20.1% | 0.272 |
50 | Vaughn Grissom | ATL | 20 | 564 | 110.9 | 0.325 | 0.260 | 0.349 | 0.378 | 12 | 9 | 0 | 10.0% | 14.3% | 0.289 |
51 | Oswald Peraza | NYY | 21 | 1221 | 97.3 | 0.304 | 0.251 | 0.314 | 0.372 | 15 | 24 | 0 | 7.2% | 18.8% | 0.291 |
52 | Otto Lopez | TOR | 22 | 1443 | 105.0 | 0.316 | 0.280 | 0.339 | 0.367 | 5 | 15 | 0 | 7.3% | 15.3% | 0.329 |
53 | Heriberto Hernandez | TBR | 21 | 793 | 113.8 | 0.329 | 0.216 | 0.330 | 0.414 | 23 | 5 | 0 | 12.6% | 27.3% | 0.269 |
54 | Kevin Smith | TOR | 24 | 1736 | 106.6 | 0.318 | 0.233 | 0.297 | 0.437 | 25 | 13 | 0 | 7.5% | 26.6% | 0.279 |
55 | Eddys Leonard | LAD | 20 | 901 | 112.8 | 0.328 | 0.235 | 0.329 | 0.418 | 23 | 6 | 0 | 10.2% | 22.9% | 0.277 |
56 | Cooper Hummel | ARI | 26 | 1428 | 115.3 | 0.332 | 0.232 | 0.355 | 0.390 | 16 | 3 | 0 | 13.8% | 23.6% | 0.291 |
57 | Terrin Vavra | BAL | 24 | 866 | 108.9 | 0.322 | 0.240 | 0.344 | 0.378 | 13 | 10 | 0 | 12.4% | 20.9% | 0.292 |
58 | Nick Pratto | KCR | 22 | 1784 | 109.4 | 0.322 | 0.215 | 0.311 | 0.429 | 25 | 9 | 0 | 11.3% | 29.1% | 0.267 |
59 | Diego Cartaya | LAD | 19 | 344 | 115.6 | 0.332 | 0.233 | 0.322 | 0.443 | 28 | 2 | 0 | 10.1% | 21.9% | 0.254 |
60 | Seth Beer | ARI | 24 | 1265 | 117.4 | 0.335 | 0.241 | 0.343 | 0.415 | 21 | 0 | 1 | 7.8% | 20.7% | 0.279 |
61 | Vinnie Pasquantino | KCR | 23 | 761 | 115.5 | 0.332 | 0.239 | 0.323 | 0.442 | 22 | 2 | 0 | 10.0% | 16.5% | 0.251 |
62 | Adley Rutschman | BAL | 23 | 698 | 114.9 | 0.331 | 0.238 | 0.347 | 0.400 | 19 | 2 | 1 | 13.2% | 18.5% | 0.266 |
63 | Brayan Rocchio | CLE | 20 | 1055 | 103.3 | 0.313 | 0.246 | 0.312 | 0.399 | 18 | 15 | 0 | 6.9% | 16.4% | 0.271 |
64 | Bryson Stott | PHI | 23 | 680 | 110.4 | 0.324 | 0.249 | 0.342 | 0.388 | 15 | 7 | 0 | 12.1% | 23.7% | 0.313 |
65 | Austin Martin | TOR | 22 | 418 | 105.8 | 0.317 | 0.235 | 0.375 | 0.320 | 6 | 12 | 0 | 13.3% | 20.2% | 0.301 |
66 | Brett Auerbach | SFG | 22 | 368 | 100.3 | 0.309 | 0.225 | 0.309 | 0.397 | 22 | 18 | 0 | 9.2% | 25.4% | 0.270 |
67 | Bryan Lavastida | CLE | 22 | 731 | 107.5 | 0.320 | 0.254 | 0.343 | 0.372 | 10 | 10 | 0 | 10.9% | 18.6% | 0.301 |
68 | Steven Kwan | CLE | 23 | 947 | 110.7 | 0.324 | 0.269 | 0.344 | 0.383 | 10 | 6 | 0 | 9.4% | 10.5% | 0.289 |
69 | Luis Campusano | SDP | 22 | 1248 | 114.9 | 0.331 | 0.262 | 0.334 | 0.418 | 18 | 1 | 0 | 8.7% | 15.8% | 0.286 |
70 | MJ Melendez | KCR | 22 | 1620 | 112.3 | 0.327 | 0.214 | 0.303 | 0.454 | 31 | 3 | 2 | 11.0% | 26.8% | 0.238 |
71 | Austin Shenton | SEA | 23 | 598 | 114.9 | 0.331 | 0.238 | 0.327 | 0.429 | 18 | 0 | 0 | 9.6% | 24.3% | 0.295 |
72 | Jacob Robson | DET | 26 | 1921 | 98.9 | 0.306 | 0.247 | 0.340 | 0.342 | 5 | 17 | 0 | 11.5% | 32.6% | 0.394 |
73 | Shay Whitcomb | HOU | 22 | 444 | 98.8 | 0.306 | 0.235 | 0.299 | 0.404 | 23 | 17 | 0 | 7.3% | 31.1% | 0.315 |
74 | Marco Luciano | SFG | 19 | 669 | 107.6 | 0.320 | 0.219 | 0.315 | 0.417 | 26 | 7 | 0 | 11.4% | 22.5% | 0.243 |
75 | Canaan Smith-Njigba | PIT | 22 | 1225 | 104.0 | 0.314 | 0.241 | 0.342 | 0.359 | 12 | 11 | 0 | 12.9% | 23.5% | 0.307 |
76 | Luke Berryhill | HOU | 23 | 330 | 111.7 | 0.326 | 0.225 | 0.331 | 0.409 | 21 | 2 | 1 | 10.1% | 31.7% | 0.323 |
77 | Nolan Gorman | STL | 21 | 1309 | 109.9 | 0.323 | 0.244 | 0.307 | 0.437 | 26 | 4 | 0 | 7.9% | 23.0% | 0.278 |
78 | Jonathan Aranda | TBR | 23 | 1054 | 111.4 | 0.326 | 0.260 | 0.341 | 0.392 | 12 | 2 | 0 | 9.1% | 19.0% | 0.311 |
79 | Esteban Quiroz | TBR | 29 | 779 | 111.3 | 0.325 | 0.215 | 0.331 | 0.406 | 20 | 2 | 0 | 12.3% | 27.1% | 0.277 |
80 | Jordan Groshans | TOR | 21 | 619 | 111.8 | 0.326 | 0.262 | 0.339 | 0.397 | 13 | 1 | 1 | 10.2% | 18.2% | 0.306 |
81 | Geraldo Perdomo | ARI | 21 | 1392 | 100.7 | 0.309 | 0.228 | 0.345 | 0.341 | 12 | 13 | 0 | 13.1% | 17.1% | 0.263 |
82 | Jorge Caballero | MIA | 21 | 493 | 110.5 | 0.324 | 0.256 | 0.357 | 0.365 | 12 | 2 | 2 | 12.5% | 27.6% | 0.362 |
83 | Aldenis Sanchez | TBR | 22 | 736 | 88.0 | 0.289 | 0.244 | 0.327 | 0.311 | 4 | 27 | 0 | 9.4% | 19.1% | 0.306 |
84 | Michael Harris II | ATL | 20 | 632 | 95.9 | 0.302 | 0.249 | 0.320 | 0.355 | 8 | 18 | 0 | 8.4% | 16.6% | 0.291 |
85 | Keibert Ruiz | LAD | 22 | 1492 | 110.8 | 0.325 | 0.251 | 0.320 | 0.420 | 23 | 1 | 0 | 8.4% | 7.3% | 0.237 |
86 | Mark Vientos | NYM | 21 | 1276 | 110.8 | 0.325 | 0.238 | 0.305 | 0.446 | 29 | 1 | 2 | 8.2% | 23.4% | 0.267 |
87 | Jeremy Pena | HOU | 23 | 790 | 101.7 | 0.311 | 0.244 | 0.318 | 0.383 | 16 | 11 | 0 | 7.5% | 21.9% | 0.295 |
88 | Jordan Westburg | BAL | 22 | 506 | 103.3 | 0.313 | 0.234 | 0.334 | 0.368 | 12 | 9 | 0 | 10.8% | 25.8% | 0.313 |
89 | Curtis Terry | TEX | 24 | 1475 | 110.2 | 0.324 | 0.236 | 0.309 | 0.438 | 26 | 1 | 1 | 6.6% | 25.4% | 0.280 |
90 | Brett Baty | NYM | 21 | 613 | 107.5 | 0.320 | 0.233 | 0.336 | 0.386 | 16 | 4 | 0 | 12.3% | 25.8% | 0.297 |
91 | Jayce Easley | TEX | 21 | 587 | 77.1 | 0.273 | 0.201 | 0.337 | 0.255 | 5 | 38 | 0 | 15.4% | 22.2% | 0.269 |
92 | Jose Barrero | CIN | 23 | 1349 | 101.2 | 0.310 | 0.249 | 0.308 | 0.397 | 16 | 11 | 0 | 6.1% | 21.1% | 0.295 |
93 | Skye Bolt | OAK | 27 | 1566 | 102.9 | 0.312 | 0.240 | 0.327 | 0.379 | 13 | 9 | 0 | 10.5% | 28.5% | 0.332 |
94 | Jake McCarthy | ARI | 23 | 835 | 87.6 | 0.289 | 0.214 | 0.288 | 0.369 | 14 | 26 | 0 | 8.5% | 25.4% | 0.270 |
95 | Fidel Castro | CIN | 22 | 677 | 102.8 | 0.312 | 0.213 | 0.306 | 0.409 | 23 | 9 | 0 | 10.0% | 35.0% | 0.312 |
96 | Jose Miranda | MIN | 23 | 1873 | 110.0 | 0.323 | 0.269 | 0.319 | 0.419 | 19 | 1 | 1 | 5.4% | 12.9% | 0.284 |
97 | Peyton Burdick | MIA | 24 | 804 | 106.4 | 0.318 | 0.206 | 0.325 | 0.396 | 23 | 5 | 1 | 12.6% | 29.7% | 0.267 |
98 | Jorbit Vivas | LAD | 20 | 928 | 104.5 | 0.315 | 0.246 | 0.329 | 0.382 | 14 | 7 | 0 | 8.0% | 12.6% | 0.262 |
99 | Rangel Ravelo | LAD | 29 | 1238 | 110.5 | 0.324 | 0.268 | 0.347 | 0.384 | 10 | 0 | 0 | 8.8% | 18.2% | 0.320 |
100 | Austin Wells | NYY | 21 | 469 | 102.2 | 0.311 | 0.216 | 0.325 | 0.378 | 17 | 9 | 0 | 11.8% | 24.9% | 0.273 |
Observations
- The highest-end players remain mostly unchanged, a testament to the strong resume supporting their cases. After updating to the most current conditions, the top five prospects are Julio Rodriguez, Anthony Volpe, Jordan Walker, C.J. Abrams, and Riley Greene.
- Felix Valerio, Vaughn Grissom, Bobby Witt, and Xavier Edwards all benefit under the new rankings thanks to their stolen base prowess.
- Despite efforts to limit it, there are instances of low-level minor league speedsters that creep up in the ranks – beware of players that climb the rankings with wRC+ projections near 100 or lower. 100 is major league replacement level, meaning these players carry higher playing time risks!
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We are always open to feedback!
The Dynasty Guru: @DynastyGuru
Ross Jensen: @rossjensen12
Jordan Rosenblum: @rosenjordanblum
Scouting the Statline: statlinescouting.com
5 Comments
Whao, either this math is revolutionary or really flawed. Haven’t heard of many of these players…
Revolutionary, for sure :p
Though honestly, while we want our rankings to make sense, we also don’t want to follow the general consensus to create something safe/vanilla. We hope that our data models can help reveal the players that are over-looked by conventional wisdom!
Ross, this is a very interesting list. Definitely has given me some names I haven’t heard of that I need to keep an eye on. I’d be interested to know how you are using this list for yourself in leagues? Are you averaging your findings with that of the “general consensus” during drafts? Or are you taking this as your only guide when making picks?
i.e., are you taking Nick Yorke over Bobby Witt Jr. if you have the opportunity to grab one of them?
The name of the game is to trade for the best prospects before they become “general consensus” best prospects (ie Anthony Volpe, who I received for Christhian Vaquero early last season), and trade the prospects that are failing to measure up before they fall out of “general consensus” favor (ie Royce Lewis, who I traded for CJ Abrams two seasons ago). The best way to do this is to follow our daily leaderboard and weekly updates during the season (at statlinescouting.com) to see who is rising and who is falling. In my experience, general consensus always lags a little, so it’s important to be ahead.
Regarding Witt, he was a pretty big name right out of the gate, so he would have been a tough one to get. Yorke is a different story – I traded for him everywhere I could, generally for good discounts to his current general consensus ranking (which is still too low, imo). If I had the opportunity to pick either, right now I would still grab Witt because his perceived value is higher, which means you can get more in exchange for him. However, I think the two are a lot closer than most think, people haven’t fully caught on to Yorke’s true value yet!
In that scenario, you could snag Witt, trade him, then add Yorke. Or trade Witt for Yorke-plus.