Phillip Diehl P Columbus Clippers
Age 32 LHP 6'2" / 169 lbs AAA
2026 FULL-SEASON PROJECTIONpark-neutral Marcel · 17 proj IP
wRC+ AGAINSTvL 101110vR 120
ERA4.43
FIP4.43
K%23.1%
BB%9.7%
K-BB%13.5%
ROS IP18
Value2026 · WAR
Runs saved vs league avg · 17 IP
K: +0.0 runs (Runs saved by strikeouts vs lg-avg K%)+0KBB: -0.1 runs (Runs saved by walk suppression vs lg-avg BB%)-0BBCONTACT: -0.4 runs (Runs saved on contact quality (HR suppression) vs lg)-0CONTACTSTAM: +0.7 runs (Replacement credit for innings volume)+1STAMTotal WAR: +0.02 (17 IP)+0.0WAR
0.00.02627
Grades · Arsenal · Contract
Scouting Grades
K†5555
FB-3.5

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

Career Stats + Projections

Viewactual = stats as recorded (seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations
Methodology▸ how WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

YearAge LvlTeam GGSIPBF KBBHR GS%IP/G K%BB%K-BB%HR% ERAFIP WAR
201622ROKPulaski Yankees1413212738617%2.320.3%5.9%14.4%1.1%2.562.73
201622ROKPulaski Yankees1413212738617%2.329.9%4.7%25.2%0.8%2.561.68
201723ACharleston RiverDogs2858535310125418%3.021.2%8.4%12.8%1.7%3.163.28
201723ACharleston RiverDogs2858535310125418%3.028.6%7.1%21.5%1.1%3.162.22
201824MIX2 levels390752981082240%1.928.3%8.3%20.0%1.3%2.512.51
201824MIX2 levels390752981082240%1.936.2%7.4%28.9%1.3%2.511.80
201925MIX3 levels600662797220170%1.123.2%8.0%15.2%7.0%5.456.00-1.0
201925MIX3 levels600662797220170%1.125.8%7.2%18.6%6.1%5.455.18-0.4
202026MLBColorado Rockies606254120%1.016.0%4.0%12.0%8.0%10.506.65-0.1
202026MLBColorado Rockies606254120%1.016.0%4.0%12.0%8.0%10.506.60-0.1
202127AAALouisville Bats58055215711290%0.929.1%5.9%23.2%3.9%2.473.54
202127AAALouisville Bats58055215711290%0.933.0%5.6%27.4%4.2%2.473.30
202228MIX2 levels430452054219110%1.119.4%10.1%9.3%4.7%6.555.30-0.4
202228MIX2 levels430452054219110%1.120.5%9.3%11.2%5.4%6.555.66-0.6
202329AAAColumbus Clippers24033148351960%1.420.8%13.5%7.3%4.2%6.895.33
202329AAAColumbus Clippers24033148351960%1.423.6%12.8%10.8%4.1%6.895.09
▸ 2026 Season
202632MLBCLE170187517720%1.023.1%9.7%13.5%3.1%4.434.43+0.0
▸ 2027+ Projections   WITH CONTEXT · MLB TIME ONLY ⓘ
202733MLBCLE190208419930%1.122.7%10.1%12.6%3.3%4.574.67-0.0
202733MLBCLE707307310%1.022.7%10.1%12.6%3.3%4.574.67-0.0
▸ Career (MLB actual + context projections)
Career2802611922870%0.918.5%6.8%11.7%5.9%8.115.64-0.3
/ 200 IP213020090316761530%0.918.5%6.8%11.7%5.9%8.115.64-0.6
Career27263971650387138572%1.523.4%8.4%15.1%3.5%4.084.08+6.1
/ 200 IP137320083119570292%1.523.4%8.4%15.1%3.5%4.084.08+3.1

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

Profile at Match Age Next 3 Yrs Career
CompAgeRole FIPK%BB%HR/BFBABIP FIPK%K-BB%IP ΔFIPLow FIPIPMatch
Phillip Diehl (OGILVIE) 4.43 23.1%9.7%3.1% 4.67 22.7%12.6%20 +0.24
Phil Coke L 2027 · 4.00 FIP 33 SU 4.00 18.8%9.1%2.4%.373 3.04 18.0%11.3%70 -0.96 3.04 101 81
Buddy Boshers L 2025 · 3.73 FIP 31 SU 3.73 25.3%10.4%2.6%.294 2.81 223 80
Fernando Abad L 2025 · 3.48 FIP 31 SU 3.48 20.3%7.1%2.2%.281 2.35 23.3%21.0%44 -1.13 2.35 306 79
Mike Dunn L 2026 · 4.05 FIP 32 SU 4.05 25.9%12.7%2.8%.276 4.90 17.3%2.6%35 +0.85 3.72 181 78
Ryan Buchter L 2026 · 4.63 FIP 32 SU 4.63 25.3%10.6%4.2%.286 5.07 22.9%9.7%32 +0.44 2.37 296 78
Adam Liberatore L 2025 · 4.29 FIP 31 SU 4.29 18.6%9.1%2.9%.354 2.44 124 77
Zach Phillips L 2026 · 3.65 FIP 32 SU 3.65 19.1%8.5%2.0%.355 2.29 202 77
Yuki Matsui L 2024 · 4.48 FIP 30 SU 4.48 23.7%11.1%3.6%.270 3.80 172 75
Josh Edgin L 2025 · 3.36 FIP 31 SU 3.36 29.2%9.2%2.8%.324 3.36 113 74
Jeremy Bleich L 2026 · 4.51 FIP 32 SW 4.51 20.1%7.0%4.0%.360 3.21 241 74
Dan Runzler L 2026 · 4.45 FIP 32 SU 4.45 17.5%11.0%2.6%.325 4.79 16.0%3.0%27 +0.34 3.77 127 73
Neal Cotts L 2029 · 4.65 FIP 35 SU 4.65 21.6%7.4%4.4%.257 4.01 21.9%14.5%93 -0.64 3.24 156 73
Edward Paredes L 2026 · 5.19 FIP 32 SU 5.19 21.5%7.3%5.4%.364 2.29 130 72
Jake McGee L 2026 · 4.73 FIP 32 SU 4.73 19.4%5.6%4.7%.290 3.42 24.5%19.8%117 -1.31 1.52 350 71
Dana Eveland L 2026 · 3.83 FIP 32 SU 3.83 17.2%9.7%1.7%.272 4.91 14.7%10.0%21 +1.08 2.42 129 70
Dan Jennings L 2025 · 3.99 FIP 31 SU 3.99 16.6%8.1%2.3%.303 3.09 244 70
James Jones L 2026 · 5.47 FIP 32 SU 5.47 23.0%11.4%5.2%.315 4.38 18.3%2.1%36 -1.09 3.58 127 70
Ryan O'Rourke L 2025 · 4.13 FIP 31 SU 4.13 22.1%14.3%2.0%.290 3.06 145 70
Vidal Nuño L 2026 · 4.21 FIP 32 SU 4.21 20.2%8.7%3.1%.376 4.85 16.0%11.1%53 +0.64 4.07 424 69
Craig Breslow L 2028 · 4.86 FIP 34 SU 4.86 16.4%6.4%4.2%.279 4.51 16.2%6.5%94 -0.35 4.22 159 68