Phillip Diehl — OGILVIE

Phillip Diehl P Columbus Clippers

Age 32 LHP 6'2" / 169 lbs AAA

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 104112vR 120

ERA4.58

FIP4.58

K%21.9%

BB%10.0%

K-BB%11.9%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Arsenal · Contract

Scouting Grades

K†5050

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

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

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.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2016	22	ROK MLE	Pulaski Yankees	14	1	32	127	38	6	1	7%	2.3	20.3%	5.9%	14.4%	1.1%	2.56	2.73	—
2016	22	ROK RAW	Pulaski Yankees	14	1	32	127	38	6	1	7%	2.3	29.9%	4.7%	25.2%	0.8%	2.56	1.68	—
2017	23	A MLE	Charleston RiverDogs	28	5	85	353	101	25	4	18%	3.0	21.2%	8.4%	12.8%	1.6%	3.16	3.23	—
2017	23	A RAW	Charleston RiverDogs	28	5	85	353	101	25	4	18%	3.0	28.6%	7.1%	21.5%	1.1%	3.16	2.22	—
2018	24	MIX MLE	2 levels	39	0	75	298	108	22	4	0%	1.9	28.3%	8.3%	20.0%	1.5%	2.51	2.57	—
2018	24	MIX RAW	2 levels	39	0	75	298	108	22	4	0%	1.9	36.2%	7.4%	28.9%	1.3%	2.51	1.80	—
2019	25	MIX MLE	3 levels	60	0	66	279	72	20	17	0%	1.1	23.2%	8.0%	15.2%	7.9%	5.45	6.47	-1.5
2019	25	MIX RAW	3 levels	60	0	66	279	72	20	17	0%	1.1	25.8%	7.2%	18.6%	6.1%	5.45	5.18	-0.5
2020	26	MLB MLE	Colorado Rockies	6	0	6	25	4	1	2	0%	1.0	16.0%	4.0%	12.0%	8.0%	10.50	6.65	-0.1
2020	26	MLB RAW	Colorado Rockies	6	0	6	25	4	1	2	0%	1.0	16.0%	4.0%	12.0%	8.0%	10.50	6.60	-0.1
2021	27	AAA MLE	Louisville Bats	58	0	55	215	71	12	9	0%	0.9	29.1%	5.9%	23.2%	4.2%	2.47	3.71	—
2021	27	AAA RAW	Louisville Bats	58	0	55	215	71	12	9	0%	0.9	33.0%	5.6%	27.4%	4.2%	2.47	3.30	—
2022	28	MIX MLE	2 levels	43	0	45	205	42	19	11	0%	1.1	19.4%	10.1%	9.3%	4.8%	6.55	5.38	-0.4
2022	28	MIX RAW	2 levels	43	0	45	205	42	19	11	0%	1.1	20.5%	9.3%	11.2%	5.4%	6.55	5.66	-0.6
2023	29	AAA MLE	Columbus Clippers	24	0	33	148	35	19	6	0%	1.4	19.6%	11.6%	8.1%	4.3%	6.89	5.27	—
2023	29	AAA MLE	Columbus Clippers	24	0	33	148	35	19	6	0%	1.4	19.6%	11.6%	8.1%	4.3%	6.89	5.27	—
2023	29	AAA RAW	Columbus Clippers	24	0	33	148	35	19	6	0%	1.4	23.6%	12.8%	10.8%	4.1%	6.89	5.09	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			21	0	19	88	15	5	6	0%	0.9	17.0%	5.7%	11.4%	6.8%	9.47	6.42	-0.4
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	CLE	1	0	1	4	1	0	0	0%	1.0	21.9%	10.0%	11.9%	3.1%	4.58	4.58	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	CLE	19	0	20	84	18	9	3	0%	1.1	21.5%	10.4%	11.1%	3.3%	4.70	4.80	-0.1
2027	33	MLB CTX	CLE	7	0	7	30	6	3	1	0%	1.0	21.5%	10.4%	11.1%	3.3%	4.70	4.80	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		28	0	26	119	22	8	7	0%	0.9	18.2%	6.9%	11.3%	5.9%	8.14	5.68	-0.3
/ 200 IP	—	RAW		213	0	200	903	167	61	53	0%	0.9	18.2%	6.9%	11.3%	5.9%	8.14	5.68	-2.6
Career	—	MLE		272	6	397	1650	385	135	61	2%	1.5	23.3%	8.2%	15.1%	3.7%	4.08	4.18	-0.5
/ 200 IP	—	MLE		137	3	200	831	194	68	31	2%	1.5	23.3%	8.2%	15.1%	3.7%	4.08	4.18	-2.4

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
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Phillip Diehl (OGILVIE)	—	—	4.58	21.9%	10.0%	3.1%	—	4.80	21.5%	11.1%	20	+0.22	—	—	—
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	82
Zach Phillips L 2019 · 3.67 FIP	32	SU	3.67	19.1%	8.5%	2.0%	.355	—	—	—	—	—	2.33	202	78
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	78
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.80	223	77
Fernando Abad L 2017 · 3.53 FIP	31	SU	3.53	20.3%	7.1%	2.2%	.281	2.37	23.3%	21.0%	44	-1.16	2.37	306	77
Dan Runzler L 2017 · 4.20 FIP	32	SU	4.20	17.5%	11.0%	2.1%	.325	4.84	16.0%	3.0%	27	+0.64	3.78	127	76
Mike Dunn L 2017 · 4.29 FIP	32	SU	4.29	25.9%	12.7%	3.2%	.276	5.11	17.3%	2.6%	35	+0.82	3.71	181	75
Jeremy Bleich L 2019 · 4.41 FIP	32	SW	4.41	20.1%	7.0%	3.9%	.360	—	—	—	—	—	3.20	241	74
Dana Eveland L 2016 · 3.84 FIP	32	SU	3.84	17.2%	9.7%	1.8%	.272	4.67	14.7%	10.0%	21	+0.83	2.42	129	73
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	72
Edward Paredes L 2019 · 5.10 FIP	32	SU	5.10	21.5%	7.3%	5.3%	.364	—	—	—	—	—	2.36	130	72
James Jones L 2021 · 5.35 FIP	32	SU	5.35	23.0%	11.4%	5.0%	.315	4.28	17.8%	2.8%	36	-1.07	3.58	127	71
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	71
Ryan Buchter L 2019 · 4.75 FIP	32	SU	4.75	25.3%	10.6%	4.4%	.286	5.24	22.9%	9.7%	32	+0.49	2.37	296	70
Josh Edgin L 2018 · 3.63 FIP	31	SU	3.63	29.2%	9.2%	3.3%	.324	—	—	—	—	—	3.63	113	70
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	69
Marlon Arias L 2017 · 3.73 FIP	32	SU	3.73	17.2%	7.7%	2.0%	.443	4.83	19.8%	8.6%	74	+1.10	3.73	154	68
Robbie Ross Jr. L 2021 · 4.98 FIP	32	SU	4.98	15.2%	7.0%	4.2%	.312	—	—	—	—	—	2.81	159	68
Vidal Nuño L 2019 · 4.40 FIP	32	SU	4.40	20.2%	8.7%	3.5%	.376	4.88	16.0%	11.1%	53	+0.48	4.00	424	67
Dan Jennings L 2018 · 3.88 FIP	31	SU	3.88	16.6%	8.1%	2.1%	.303	—	—	—	—	—	3.11	244	66