Trey Cobb — OGILVIE

Trey Cobb P Lehigh Valley IronPigs

Age 32 RHP 6'1" / 190 lbs AAA

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

showingROS

wRC+ AGAINSTvL 123115vR 107

ERA4.75

FIP4.75

K%21.6%

BB%11.7%

K-BB%9.8%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5050

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)
2018	24	MIX MLE	2 levels	42	0	50	213	52	9	7	0%	1.2	18.3%	4.9%	13.4%	4.1%	3.22	4.45	—
2018	24	MIX RAW	2 levels	42	0	50	213	52	9	7	0%	1.2	24.4%	4.2%	20.2%	3.3%	3.22	3.38	—
2021	27	MIX MLE	2 levels	27	1	44	223	34	22	13	4%	1.6	13.4%	9.8%	3.6%	6.8%	8.32	6.93	—
2021	27	MIX RAW	2 levels	27	1	44	223	34	22	13	4%	1.6	15.2%	9.9%	5.4%	5.8%	8.32	6.87	—
2022	28	MIX MLE	2 levels	40	1	70	297	66	28	6	2%	1.8	18.9%	10.0%	9.0%	2.2%	3.99	3.94	—
2022	28	MIX RAW	2 levels	40	1	70	297	66	28	6	2%	1.8	22.2%	9.4%	12.8%	2.0%	3.99	3.53	—
2023	29	AAA MLE	Lehigh Valley IronPigs	34	0	31	145	33	27	2	0%	0.9	18.9%	16.8%	2.1%	1.5%	6.39	4.44	—
2023	29	AAA MLE	Lehigh Valley IronPigs	34	0	31	145	33	27	2	0%	0.9	18.9%	16.8%	2.1%	1.5%	6.39	4.44	—
2023	29	AAA RAW	Lehigh Valley IronPigs	34	0	31	145	33	27	2	0%	0.9	22.8%	18.6%	4.1%	1.4%	6.39	4.42	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	PHI	1	0	1	4	1	0	0	0%	1.0	21.6%	11.7%	9.8%	2.9%	4.75	4.75	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	PHI	19	0	20	84	18	10	3	0%	1.1	21.3%	11.9%	9.3%	3.2%	4.86	4.96	-0.1
2027	33	MLB CTX	PHI	7	0	7	30	6	4	1	0%	1.0	21.3%	11.9%	9.3%	3.2%	4.86	4.96	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	31	7	4	1	0%	1.1	21.3%	11.9%	9.3%	3.2%	4.86	4.58	-0.0
/ 200 IP	—	RAW		190	0	200	844	190	109	27	0%	1.1	21.3%	11.9%	9.3%	3.2%	4.86	4.58	-0.1
Career	—	MLE		143	2	196	878	153	86	32	1%	1.4	17.4%	9.8%	7.6%	3.7%	5.15	4.91	-0.1
/ 200 IP	—	MLE		146	2	200	897	156	88	33	1%	1.4	17.4%	9.8%	7.6%	3.7%	5.15	4.91	-1.0

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
Trey Cobb (OGILVIE)	—	—	4.75	21.6%	11.7%	2.9%	—	4.96	21.3%	9.3%	20	+0.21	—	—	—
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	92
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	83
Clayton Mortensen R 2017 · 4.59 FIP	32	SU	4.59	23.2%	14.2%	3.0%	.258	—	—	—	—	—	4.31	221	82
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	82
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	82
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	81
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	81
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	79
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	78
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	77
Brad Boxberger R 2020 · 4.65 FIP	32	SU	4.65	22.8%	10.1%	4.0%	.280	3.49	27.2%	17.5%	149	-1.16	3.01	363	77
Joakim Soria R 2016 · 4.33 FIP	32	SU	4.33	23.2%	9.2%	3.7%	.319	2.63	28.5%	21.7%	186	-1.70	2.01	380	76
Dan Winkler R 2022 · 3.87 FIP	32	SU	3.87	24.4%	14.0%	1.9%	.281	—	—	—	—	—	2.40	231	76
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	76
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	76
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	75
Jonathan Broxton R 2016 · 3.77 FIP	32	SU	3.77	22.0%	7.3%	2.9%	.256	4.34	20.5%	9.0%	16	+0.57	3.67	137	74
Bryan Morris R 2017 · 3.60 FIP	30	SU	3.60	16.0%	9.6%	1.1%	.333	—	—	—	—	—	3.48	102	74
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	74
A.J. Schugel R 2021 · 4.82 FIP	32	SU	4.82	16.6%	12.3%	2.9%	.351	—	—	—	—	—	2.80	299	74