This text unveils OOPSY’s first WAR-based High 100 prospects record.
Broadly put, OOPSY mirrors the opposite projections techniques at FanGraphs, however it makes use of its personal substances, together with its personal ageing curves, regression quantities, recency weights, main league equivalencies, and park elements. When it comes to accuracy, it has held its personal with the opposite projection techniques, together with when projecting rookies.
Since 2024, I’ve revealed OOPSY’s high prospect lists over at RotoGraphs with extra of a fantasy focus, rating pitchers by peak ERA and hitters by peak wRC+. In 2025, I started incorporating common fastball velocity into my prospect pitching projections, utilizing information from The Board, in addition to Stuff+, supplied by Eno Sarris, the place doable. Halfway by way of 2025, I began accounting for EV90 in my prospect hitting projections, utilizing information from Prospect Savant; I additionally embody bat velocity the place information permits. And now that OOPSY accounts for protection in addition to baserunning, I can rank prospects by projected WAR, to theoretically align extra carefully with the valuations utilized by main league organizations.
Earlier than stepping into the rankings, I need to talk about my method to projecting protection. Beforehand, OOPSY borrowed its defensive projections from Steamer; now I venture it myself. For main league gamers, the defensive runs above common projections are primarily based on a participant’s fielding run worth from Statcast, aligning with how FanGraphs’ WAR accounts for protection; OOPSY additionally makes use of a positional adjustment, consistent with FanGraphs’ method.
The absence of publicly out there Statcast fielding information for minor leaguers necessitates a distinct method in relation to prospects. I take advantage of a scouting-based method, leveraging the listed place and Fielding grades from our prospect crew’s important work on The Board. Utilizing scouting grades to assist formulate rookie projections is an previous concept within the sabermetrics neighborhood. For gamers not listed on The Board, I’ve assigned a major place primarily based on the place they performed probably the most in 2025, utilizing information supplied to me by Thomas Nestico, and formulated a naïve projection that assumes the participant will likely be barely beneath common at their major place on the main league degree. For gamers included on The Board, listed place and Fielding grades work effectively to formulate a easy defensive projection for rookies, with a 10-point improve in Fielding grade related to a five-run improve in fielding run worth above common per 4,000 outs (i.e., per full season):
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For gamers included on The Board, I take advantage of information from the 2026 Report the place out there, or else the 2025 Up to date Report as a backup. For gamers with each minor league and main league information, I take advantage of Fielding grade within the projections till a participant has eclipsed 250 massive league innings. After that, I change to the Statcast-based main league method. This results in a slightly sharp cutoff on the 250-inning mark, which isn’t ideally suited, however it provides the benefit of comfort.
A couple of extra issues are price highlighting earlier than attending to the record. First, solely home minor league (so no DSL) and main league efficiency is captured. This makes the projections significantly unstable (and thus much less helpful) for minor leaguers who have been drafted in 2025. Due to that, anybody with fewer than 50 profession skilled plate appearances or whole batters confronted was excluded from the record. You need to take a look at the ZiPS High 100 for a system that captures gamers’ school efficiency.
Second, these projections usually are not an alternative choice to scouting. They can not account for the range of knowledge {that a} scout can carry to bear when assessing a participant. Moderately, a projections-based method can function a helpful complement by providing a scientific approach to incorporate quite a lot of completely different numerical indicators on the identical time: completely different measures of efficiency from completely different leagues, at completely different ages, in numerous seasons. With out the assistance of projections, it’s troublesome to summarize all of this data in a constant, wise approach — or a minimum of it’s for me.
Third, prospects are ranked by projected peak single-season WAR, with a participant’s peak assumed to happen round age 28, with many of the progress coming earlier than age 25. This differs from the prospect crew’s method, which assigns a Future Worth grade meant to approximate a participant’s common annual WAR over their first six massive league seasons. Naturally, a peak WAR method leads to greater WAR forecasts than the six-year common WAR method. Peak WAR projections additionally assume a full season of enjoying time, which is one thing to bear in mind for gamers who could also be vulnerable to harm. All projections assume a impartial park within the 2025 main league run setting.
Listed here are OOPSY’s High 100 prospects heading into 2026, ranked by peak WAR:
OOPSY 2026 High 100 Prospects
Projections are for a participant’s peak MLB season assuming 600 plate appearances for hitters and 190 innings pitched for pitchers.
Stage exhibits a participant’s highest degree reached in 2025.
Konnor Griffin, Samuel Basallo, and Kevin McGonigle comprise three of the highest 4, whereas 19 of the highest 20 prospects additionally made the FanGraphs High 100, a great supply of triangulation for OOPSY’s method. Total, about 60% of my High 100 ranked on the FanGraphs High 100, matching the share of settlement between the ZiPS High 100 and the FanGraphs High 100. Unsurprisingly, the three lists have better settlement on the names close to the highest: Twenty-three of my high 25 made the FanGraphs record, and 37 of my high 50, however solely 26 of my backside 59 made it. Equally, 24 of my high 25 made the ZiPS record, and 38 of my high 50, however solely 15 of my backside 59.
A couple of different names within the OOPSY high 30 acquired a 45-FV grade from our prospect crew this record cycle, together with Cooper Pratt and Nelson Rada. Alejandro Rosario was a forty five+-FV prospect final 12 months, whereas Emmanuel Rodriguez fell out of this 12 months’s High 100, principally on account of contact-related issues. We’ll see the place they rank this 12 months when the Nationals and Twins lists come out. The 2 most notable prospects who didn’t make OOPSY’s record are Bryce Eldridge and Ryan Sloan. Eldridge tasks effectively offensively, with a 115 peak wRC+, however his first base defensive residence limits his WAR forecast. In the meantime, the bar for A-ball efficiency is kind of excessive given it’s penalized harshly by my main league equivalencies, bumping Sloan outdoors the High 100; he might rise shortly if he continues to dominate at extra superior ranges this 12 months.
There are a couple of gamers who narrowly graduated from prospect eligibility final 12 months who would have accomplished fairly effectively on these rankings had they nonetheless been eligible. Chase Burns would have edged out Griffin for the highest spot on this record. Stuff+ darling Grant Taylor would have been the fourth-best prospect arm, slotting in simply behind Max Clark, with OOPSY anticipating an eventual profitable transition to beginning full-time; his goal for 2026 is roughly 100 innings, however he might enter the rotation in 2027. Marcelo Mayer would have slotted in subsequent to Bubba Chandler on the High 100, with OOPSY viewing him as an above-average infielder at peak. Lastly, Jordan Lawlar would have ranked simply forward of Caleb Bonemer. At peak, OOPSY views him as a below-average, however nonetheless satisfactory, shortstop, with a barely above-average wRC+ and plenty of stolen bases. He ought to get an opportunity to play everywhere in the diamond for the Diamondbacks this 12 months.
The incorporation of protection led to numerous motion among the many prospect hitters in comparison with OOPSY’s September 2025 fantasy-focused prospect rating, bringing this record nearer to scouting knowledge:
OOPSY 2026 High Hitting Prospects
| # | Identify | Staff | Age | Pos | BB% | Ok% | HR | SB | wRC+ | Def | WAR | Rel |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Konnor Griffin | PIT | 20 | SS | 7% | 22% | 23 | 38 | 128 | 4.0 | 5.0 | 57% |
| 2 | Samuel Basallo | BAL | 21 | C | 10% | 20% | 29 | 2 | 141 | 0.0 | 4.9 | 80% |
| 3 | Rainiel Rodriguez | STL | 19 | C | 10% | 20% | 31 | 3 | 136 | 3.1 | 4.8 | 46% |
| 4 | Kevin McGonigle | DET | 21 | 3B | 12% | 13% | 24 | 13 | 134 | 0.0 | 4.5 | 68% |
| 5 | Emmanuel Rodriguez | MIN | 23 | CF | 17% | 30% | 20 | 14 | 124 | 3.2 | 4.1 | 68% |
| 6 | Leo De Vries | ATH | 19 | SS | 11% | 20% | 24 | 7 | 127 | 0.8 | 3.9 | 67% |
| 7 | Colt Emerson | SEA | 20 | SS | 11% | 18% | 17 | 10 | 122 | 2.4 | 3.9 | 71% |
| 8 | Sebastian Walcott | TEX | 20 | SS | 10% | 21% | 19 | 23 | 118 | 4.0 | 3.9 | 74% |
| 9 | Max Clark | DET | 21 | CF | 13% | 19% | 19 | 11 | 124 | 0.0 | 3.9 | 72% |
| 10 | Josue Briceño | DET | 21 | 1B | 11% | 20% | 25 | 1 | 127 | -0.1 | 3.9 | 68% |
| 11 | Eduardo Quintero | LAD | 20 | CF | 12% | 24% | 19 | 30 | 116 | 3.2 | 3.8 | 66% |
| 12 | Jesús Made | MIL | 19 | SS | 10% | 21% | 17 | 29 | 112 | 5.6 | 3.8 | 55% |
| 13 | Alfredo Duno | CIN | 20 | C | 13% | 22% | 21 | 2 | 121 | 3.1 | 3.7 | 58% |
| 14 | Carter Jensen | KCR | 22 | C | 12% | 24% | 22 | 5 | 121 | 1.0 | 3.6 | 82% |
| 15 | Moisés Ballesteros | CHC | 22 | C | 9% | 15% | 21 | 1 | 125 | -1.1 | 3.6 | 82% |
| 16 | Franklin Arias | BOS | 20 | SS | 8% | 14% | 19 | 8 | 117 | 4.0 | 3.6 | 71% |
| 17 | Jett Williams | MIL | 22 | CF | 12% | 23% | 18 | 27 | 117 | 0.0 | 3.5 | 73% |
| 18 | JJ Wetherholt | STL | 23 | 2B | 11% | 17% | 18 | 14 | 118 | 0.0 | 3.5 | 61% |
| 19 | Sal Stewart | CIN | 22 | 3B | 10% | 17% | 22 | 9 | 124 | -3.2 | 3.5 | 78% |
| 20 | Cooper Pratt | MIL | 21 | SS | 10% | 17% | 16 | 21 | 109 | 4.0 | 3.4 | 71% |
| 21 | Nelson Rada | LAA | 20 | CF | 12% | 19% | 10 | 38 | 109 | 3.2 | 3.4 | 79% |
| 22 | Carson Benge | NYM | 23 | CF | 10% | 20% | 19 | 11 | 117 | 0.0 | 3.4 | 58% |
| 23 | Luis Peña | MIL | 19 | SS | 7% | 18% | 21 | 36 | 113 | -0.8 | 3.4 | 53% |
| 24 | Aron Estrada | BAL | 21 | 2B | 8% | 17% | 18 | 26 | 115 | -0.8 | 3.3 | 72% |
| 25 | Aidan Miller | PHI | 22 | SS | 12% | 23% | 16 | 40 | 113 | -0.8 | 3.3 | 70% |
| 26 | Michael Arroyo | SEA | 21 | 2B | 10% | 21% | 20 | 7 | 124 | -3.2 | 3.3 | 76% |
| 27 | Luis Lara | MIL | 21 | CF | 10% | 16% | 11 | 30 | 108 | 3.2 | 3.3 | 79% |
| 28 | A.J. Ewing | NYM | 21 | CF | 11% | 22% | 14 | 32 | 109 | 3.2 | 3.3 | 68% |
| 29 | Justin Crawford | PHI | 22 | CF | 8% | 18% | 12 | 37 | 111 | 0.0 | 3.3 | 79% |
| 30 | Ryan Clifford | NYM | 22 | RF | 13% | 26% | 27 | 2 | 126 | -7.1 | 3.1 | 77% |
| 31 | Dauri Fernandez | CLE | 19 | SS | 7% | 18% | 20 | 27 | 107 | 2.4 | 3.1 | 36% |
| 32 | Caleb Bonemer | CHW | 20 | 3B | 11% | 23% | 20 | 14 | 115 | -1.6 | 3.0 | 51% |
| 33 | Harry Ford | WSN | 23 | C | 13% | 21% | 16 | 13 | 111 | 2.0 | 3.0 | 82% |
| 34 | Walker Jenkins | MIN | 21 | CF | 11% | 18% | 18 | 15 | 120 | -5.5 | 3.0 | 68% |
| 35 | Kaelen Culpepper | MIN | 23 | SS | 8% | 21% | 21 | 14 | 104 | 5.6 | 3.0 | 62% |
| 36 | Nate George | BAL | 20 | CF | 8% | 20% | 17 | 46 | 112 | -1.6 | 3.0 | 49% |
| 37 | Sam Antonacci | CHW | 23 | 2B | 10% | 17% | 12 | 27 | 113 | -3.2 | 3.0 | 59% |
| 38 | Owen Caissie | CHC | 23 | RF | 11% | 28% | 22 | 4 | 121 | -3.9 | 3.0 | 82% |
| 39 | Carson Williams | TBR | 23 | SS | 10% | 31% | 24 | 22 | 107 | 3.3 | 2.9 | 81% |
| 40 | Yeremy Cabrera | TEX | 20 | CF | 9% | 22% | 19 | 25 | 105 | 1.6 | 2.9 | 63% |
| 41 | Kendall George | LAD | 21 | CF | 12% | 19% | 10 | 63 | 101 | 1.6 | 2.9 | 71% |
| 42 | Eduardo Tait | MIN | 19 | C | 6% | 21% | 24 | 1 | 111 | 1.0 | 2.9 | 67% |
| 43 | Edwin Arroyo | CIN | 22 | SS | 7% | 20% | 15 | 9 | 104 | 5.6 | 2.9 | 81% |
| 44 | Adrian Santana | TBR | 20 | SS | 7% | 14% | 13 | 42 | 97 | 4.0 | 2.9 | 71% |
| 45 | Roldy Brito | COL | 19 | CF | 8% | 22% | 16 | 29 | 107 | 1.3 | 2.9 | 47% |
| 46 | Lazaro Montes | SEA | 21 | RF | 12% | 27% | 28 | 1 | 124 | -7.1 | 2.9 | 75% |
| 47 | Eli Willits | WSN | 18 | SS | 9% | 21% | 18 | 5 | 103 | 5.6 | 2.9 | 12% |
| 48 | John Gil | ATL | 20 | SS | 9% | 18% | 15 | 38 | 99 | 4.0 | 2.8 | 68% |
| 49 | Dax Kilby | NYY | 19 | SS | 10% | 19% | 16 | 38 | 107 | -2.3 | 2.8 | 17% |
| 50 | Starlyn Caba | MIA | 20 | SS | 12% | 18% | 13 | 29 | 90 | 11.9 | 2.8 | 58% |
| 51 | Bryce Rainer | DET | 20 | SS | 9% | 24% | 19 | 15 | 103 | 4.0 | 2.8 | 25% |
| 52 | Demetrio Crisantes | ARI | 21 | 2B | 9% | 18% | 15 | 16 | 106 | 1.6 | 2.8 | 64% |
| 53 | Gabriel Gonzalez | MIN | 22 | RF | 7% | 17% | 18 | 3 | 112 | -0.7 | 2.8 | 82% |
| 54 | William Bergolla Jr. | CHW | 21 | SS | 7% | 8% | 11 | 24 | 106 | 2.4 | 2.7 | 77% |
| 55 | George Lombard Jr. | NYY | 21 | SS | 12% | 24% | 13 | 25 | 103 | 2.4 | 2.7 | 71% |
| 56 | Ethan Salas | SDP | 20 | C | 10% | 20% | 17 | 8 | 102 | 5.2 | 2.7 | 66% |
| 57 | Juneiker Caceres | CLE | 18 | RF | 9% | 16% | 19 | 5 | 117 | -3.9 | 2.7 | 43% |
| 58 | Samuel Zavala | CHW | 21 | CF | 13% | 22% | 18 | 7 | 109 | 1.6 | 2.7 | 77% |
| 59 | Chris Suero | NYM | 22 | C | 11% | 27% | 19 | 20 | 105 | 2.0 | 2.7 | 67% |
| 60 | Ty Southisene | CHC | 20 | SS | 11% | 18% | 13 | 27 | 100 | 2.4 | 2.6 | 48% |
| 61 | Dylan Beavers | BAL | 24 | LF | 13% | 22% | 17 | 20 | 114 | -5.8 | 2.6 | 80% |
| 62 | Jefferson Rojas | CHC | 21 | SS | 9% | 18% | 18 | 14 | 105 | 0.8 | 2.6 | 75% |
| 63 | Arjun Nimmala | TOR | 20 | SS | 9% | 24% | 20 | 12 | 102 | 2.4 | 2.6 | 68% |
| 64 | Hao-Yu Lee | DET | 23 | 2B | 9% | 20% | 17 | 16 | 110 | -3.2 | 2.6 | 80% |
| 65 | Angel Genao | CLE | 22 | SS | 8% | 18% | 14 | 6 | 104 | 2.4 | 2.6 | 79% |
| 66 | Jacob Reimer | NYM | 22 | 3B | 10% | 22% | 19 | 4 | 114 | -3.2 | 2.6 | 71% |
| 67 | Jeferson Quero | MIL | 23 | C | 8% | 17% | 20 | 2 | 106 | 1.0 | 2.6 | 75% |
| 68 | Brice Matthews | HOU | 24 | 2B | 11% | 30% | 21 | 36 | 101 | 0.4 | 2.5 | 67% |
| 69 | Ryan Waldschmidt | ARI | 23 | LF | 12% | 21% | 15 | 18 | 109 | -2.3 | 2.5 | 60% |
| 70 | Joe Mack | MIA | 23 | C | 9% | 26% | 22 | 4 | 100 | 5.2 | 2.5 | 80% |
| 71 | Alex Freeland | LAD | 24 | SS | 12% | 25% | 17 | 18 | 100 | 2.7 | 2.5 | 79% |
| 72 | Pedro Ramirez | CHC | 22 | 3B | 7% | 18% | 14 | 14 | 104 | 1.6 | 2.5 | 82% |
| 73 | Devin Fitz-Gerald | TEX | 20 | 3B | 10% | 20% | 19 | 7 | 104 | 1.6 | 2.5 | 29% |
| 74 | Kane Kepley | CHC | 22 | CF | 11% | 20% | 15 | 24 | 103 | 0.0 | 2.5 | 23% |
| 75 | Tre’ Morgan | TBR | 23 | 1B | 11% | 17% | 14 | 8 | 109 | -1.5 | 2.5 | 69% |
| 76 | Asbel Gonzalez | KCR | 20 | CF | 8% | 20% | 12 | 53 | 94 | 3.2 | 2.5 | 62% |
| 77 | Josue De Paula | LAD | 21 | RF | 14% | 22% | 17 | 22 | 112 | -7.1 | 2.5 | 74% |
| 78 | Wyatt Sanford | PIT | 20 | SS | 9% | 23% | 15 | 36 | 92 | 5.6 | 2.4 | 38% |
| 79 | Henry Bolte | ATH | 22 | RF | 10% | 31% | 17 | 32 | 105 | -3.9 | 2.4 | 75% |
| 80 | Kevin Alcántara | CHC | 23 | CF | 9% | 27% | 20 | 10 | 105 | 0.0 | 2.4 | 82% |
| 81 | Hayden Alvarez | LAA | 19 | CF | 10% | 20% | 15 | 31 | 101 | 0.0 | 2.4 | 42% |
| 82 | Wilder Dalis | COL | 19 | 3B | 9% | 22% | 17 | 11 | 101 | 2.4 | 2.4 | 46% |
Projections are for a participant’s peak MLB season assuming 600 plate appearances.
Projections assume a impartial park within the 2025 MLB run setting.
Rel = reliability, the proportion of a participant’s projection that’s comprised of efficiency slightly than regression.
Def = defensive runs above common, fielding runs plus positional adjustment.
Lazaro Montes and Ryan Clifford proceed to venture effectively offensively, however weak protection projections knock them out of the highest 25 right here. Luke Adams’ 40-grade projected defensive potential at first base drops him off the record totally, although he nonetheless charges effectively offensively, with a 123 peak wRC+ projection. On the flip aspect, Jesús Made slots in as Twelfth-best hitter now, whereas he didn’t crack the highest 30 within the September replace. As a forecaster, that is the type of change I wish to see, bringing OOPSY extra in step with trade knowledge. Starlyn Caba and Tre’ Morgan additionally be part of the record after receiving 80 FV Fielding grades at shortstop and first base, respectively, final record cycle. Druw Jones is the one different prospect on The Board with an 80 FV Fielding grade, however his offensive projection (80 peak wRC+) is weak sufficient to maintain him off the record. He seems like a surefire main leaguer, nevertheless.
The largest surprises among the many hitting prospects are Aron Estrada and Wilder Dalis, two gamers who didn’t make the 2025 in-season replace of The Board. Our lead prospect analyst, Eric Longenhagen, coated Estrada final April, highlighting his defensive points, whereas anticipating {that a} projections-based method would in all probability like him, saying, “It is a prospect the place my visible eval is an efficient bit decrease than no matter a mannequin would doubtless spit out given Estrada’s TrackMan information.” Dalis is a teenage Rockies prospect who has carried out effectively in a restricted pattern. Eric mentioned him in January 2025, citing his sturdy hard-hit information. I look ahead to seeing how each of these guys stack up on their respective lists later this cycle.
On the pitching aspect, there aren’t any main surprises within the high 10, with OOPSY endorsing prospect arms additionally beloved by scouts, though a couple of have vital well being issues, together with Rosario, who’s recovering from Tommy John surgical procedure, and Jarlin Susana, who’s recovering from surgical procedure on his proper lat. Our prospect crew believed sufficient within the stuff to rank Susana twenty ninth on Monday’s High 100, accidents be damned. Right here is how the pitchers shake out:
OOPSY 2026 High Pitching Prospects
| # | Identify | Staff | Age | Pos | Ok% | BB% | HR/9 | FIP | ERA | WAR | Rel |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Trey Yesavage | TOR | 22 | RHP | 29% | 9% | 1.00 | 3.46 | 3.31 | 4.3 | 60% |
| 2 | Jonah Tong | NYM | 23 | RHP | 28% | 10% | 0.90 | 3.46 | 3.42 | 4.1 | 73% |
| 3 | Travis Sykora | WSN | 22 | RHP | 28% | 9% | 0.95 | 3.46 | 3.47 | 4.0 | 54% |
| 4 | Payton Tolle | BOS | 23 | LHP | 27% | 7% | 1.18 | 3.68 | 3.57 | 3.8 | 59% |
| 5 | Connelly Early | BOS | 24 | LHP | 25% | 8% | 0.94 | 3.59 | 3.60 | 3.7 | 71% |
| 6 | Nolan McLean | NYM | 24 | RHP | 23% | 8% | 0.85 | 3.63 | 3.62 | 3.6 | 75% |
| 7 | Alejandro Rosario | WSN | 23 | RHP | 24% | 7% | 0.99 | 3.60 | 3.67 | 3.5 | 54% |
| 8 | Jarlin Susana | WSN | 22 | RHP | 25% | 11% | 0.88 | 3.78 | 3.76 | 3.3 | 66% |
| 9 | Thomas White | MIA | 21 | LHP | 26% | 9% | 1.07 | 3.80 | 3.76 | 3.3 | 67% |
| 10 | Robby Snelling | MIA | 22 | LHP | 22% | 6% | 1.05 | 3.74 | 3.79 | 3.2 | 76% |
| 11 | Bubba Chandler | PIT | 23 | RHP | 23% | 8% | 1.09 | 3.88 | 3.82 | 3.2 | 77% |
| 12 | Ricky Tiedemann | TOR | 22 | LHP | 26% | 10% | 1.02 | 3.83 | 3.86 | 3.1 | 49% |
| 13 | Yordanny Monegro | BOS | 23 | RHP | 23% | 8% | 1.01 | 3.88 | 3.96 | 2.8 | 57% |
| 14 | Ty Johnson | TBR | 24 | RHP | 25% | 8% | 1.16 | 3.96 | 4.01 | 2.8 | 67% |
| 15 | Logan Henderson | MIL | 24 | RHP | 24% | 7% | 1.26 | 3.99 | 4.02 | 2.7 | 70% |
| 16 | Luis Perales | WSN | 23 | RHP | 23% | 10% | 1.15 | 4.19 | 4.04 | 2.7 | 43% |
| 17 | Mitch Bratt | ARI | 22 | LHP | 21% | 5% | 1.32 | 4.03 | 4.05 | 2.7 | 74% |
| 18 | Trey Gibson | BAL | 24 | RHP | 22% | 9% | 1.02 | 3.96 | 4.06 | 2.6 | 71% |
| 19 | Ben Hess | NYY | 23 | RHP | 24% | 10% | 1.06 | 4.05 | 4.07 | 2.6 | 58% |
| 20 | Coleman Crow | MIL | 25 | RHP | 22% | 7% | 1.07 | 3.89 | 4.07 | 2.6 | 43% |
| 21 | Johnny King | TOR | 19 | LHP | 25% | 10% | 1.11 | 4.07 | 4.09 | 2.6 | 47% |
| 22 | Carlos Lagrange | NYY | 23 | RHP | 24% | 11% | 1.08 | 4.20 | 4.09 | 2.6 | 68% |
| 23 | Brandon Sproat | MIL | 25 | RHP | 20% | 8% | 0.96 | 4.06 | 4.10 | 2.5 | 74% |
| 24 | Didier Fuentes | ATL | 21 | RHP | 22% | 7% | 1.35 | 4.22 | 4.12 | 2.5 | 63% |
| 25 | Robert Gasser | MIL | 27 | LHP | 21% | 7% | 1.25 | 4.11 | 4.12 | 2.5 | 62% |
| 26 | George Klassen | LAA | 24 | RHP | 22% | 10% | 1.13 | 4.22 | 4.14 | 2.5 | 70% |
| 27 | Gage Leap | ATH | 23 | LHP | 21% | 7% | 1.16 | 4.09 | 4.15 | 2.4 | 61% |
Projections are for a participant’s peak MLB season assuming 190 innings pitched.
Projections assume a impartial park within the 2025 MLB run setting.
Rel = reliability, the proportion of a participant’s projection that’s comprised of efficiency slightly than regression.
There are a couple of surprises outdoors the highest 10, specifically Ben Hess, Ty Johnson, Yordanny Monegro, and Coleman Crow. Our prospect crew views Monegro as having aid danger, an end result that turned extra doubtless after he underwent Tommy John surgical procedure final June. Per The Board, Johnson touches 97 mph, however a weak changeup as his third pitch offers him heightened aid danger if he’s unable to enhance it. Hess possesses a four-pitch combine and may get the fastball as much as 98. Per this 12 months’s Brewers record, Crow’s prolonged harm historical past and corresponding lack of innings level to a bullpen future, although our prospect crew notes that he has an opportunity to be an excellent reliever if his velo ticks up.
You could find peak projections for all main league and minor league gamers right here, in addition to day by day updates to the projections in-season. We’re additionally engaged on displaying preseason peak WAR forecasts for all gamers for FanGraphs Members within the coming weeks, an OOPSY counterpart to the ZiPS three-year forecasts.