Tommy Romero — OGILVIE

Tommy Romero P Iowa Cubs

Age 29 RHP 6'2" / 222 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 132124vR 116

ERA5.20

FIP5.20

K%16.5%

BB%11.1%

K-BB%5.4%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Arsenal · Contract

Scouting Grades

K†4040

SL-1.1

FB-6.5

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)
2017	20	ROK MLE	AZL Mariners	13	2	43	164	51	15	0	15%	3.3	21.1%	11.4%	9.7%	0.0%	2.08	2.76	—
2017	20	ROK RAW	AZL Mariners	13	2	43	164	51	15	0	15%	3.3	31.1%	9.1%	22.0%	0.0%	2.08	1.78	—
2018	21	A MLE	Bowling Green Hot Rods	25	25	128	523	131	51	11	100%	5.1	18.5%	11.5%	7.0%	2.6%	2.95	4.44	—
2018	21	A RAW	Bowling Green Hot Rods	25	25	128	523	131	51	11	100%	5.1	25.0%	9.8%	15.3%	2.1%	2.95	3.37	—
2019	22	MIX MLE	2 levels	24	19	125	488	104	38	5	79%	5.2	17.1%	8.9%	8.2%	1.2%	2.15	3.42	—
2019	22	MIX RAW	2 levels	24	19	125	488	104	38	5	79%	5.2	21.3%	7.8%	13.5%	1.0%	2.15	2.87	—
2021	24	MIX MLE	2 levels	23	21	110	435	145	31	10	91%	4.8	28.1%	7.6%	20.5%	2.6%	2.61	3.09	—
2021	24	MIX RAW	2 levels	23	21	110	435	145	31	10	91%	4.8	33.3%	7.1%	26.2%	2.3%	2.61	2.49	—
2022	25	MIX MLE	2 levels	33	17	94	400	79	43	23	52%	2.9	17.8%	10.0%	7.8%	4.6%	3.91	5.37	-0.5
2022	25	MIX RAW	2 levels	33	17	94	400	79	43	23	52%	2.9	19.8%	10.8%	9.0%	5.8%	3.91	5.96	-1.1
2023	26	AAA MLE	Rochester Red Wings	36	10	88	401	82	60	11	28%	2.4	17.0%	13.5%	3.5%	2.9%	5.44	4.94	—
2023	26	AAA MLE	Rochester Red Wings	36	10	88	401	82	60	11	28%	2.4	17.0%	13.5%	3.5%	2.9%	5.44	4.94	—
2023	26	AAA RAW	Rochester Red Wings	36	10	88	401	82	60	11	28%	2.4	20.4%	15.0%	5.5%	2.7%	5.44	4.91	—
2024	27	AAA MLE	Sacramento River Cats	19	8	72	299	66	37	8	42%	3.8	18.3%	11.1%	7.2%	2.9%	3.14	4.56	—
2024	27	AAA MLE	Sacramento River Cats	19	8	72	299	66	37	8	42%	3.8	18.3%	11.1%	7.2%	2.9%	3.14	4.56	—
2024	27	AAA RAW	Sacramento River Cats	19	8	72	299	66	37	8	42%	3.8	22.1%	12.4%	9.7%	2.7%	3.14	4.26	—
2025	28	MIX MLE	2 levels	18	11	75	321	58	36	10	61%	4.2	14.8%	10.8%	4.0%	3.3%	5.40	5.01	—
2025	28	MIX MLE	2 levels	18	11	75	321	58	36	10	61%	4.2	14.8%	10.8%	4.0%	3.3%	5.40	5.01	—
2025	28	MIX RAW	2 levels	18	11	75	321	58	36	10	61%	4.2	18.1%	11.2%	6.9%	3.1%	5.40	4.73	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	2	8	44	7	9	7	50%	2.1	15.9%	20.5%	-4.5%	15.9%	10.80	15.58	-1.0
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	29	MLB	CHC	1	1	4	17	3	2	1	100%	4.0	16.5%	11.1%	5.4%	3.1%	5.20	5.20	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	CHC	7	7	48	205	34	23	7	100%	6.9	16.8%	11.2%	5.6%	3.3%	5.22	5.29	-0.2
2028	31	MLB MLE	CHC	7	7	45	191	32	22	7	100%	6.5	16.9%	11.4%	5.5%	3.5%	5.31	5.42	-0.3
2029	32	MLB MLE	CHC	6	6	42	176	30	21	7	100%	7.0	16.8%	11.7%	5.1%	3.7%	5.45	5.59	-0.3
2027	30	MLB CTX	CHC	3	3	18	76	13	9	3	100%	6.0	16.8%	11.2%	5.6%	3.3%	5.22	5.29	-0.1
2028	31	MLB CTX	CHC	4	4	25	106	18	12	4	100%	6.2	16.9%	11.4%	5.5%	3.5%	5.31	5.42	-0.1
2029	32	MLB CTX	CHC	4	4	28	118	20	14	4	100%	7.0	16.8%	11.7%	5.1%	3.7%	5.45	5.59	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		15	13	79	344	58	43	18	87%	5.3	16.7%	12.6%	4.1%	5.1%	5.92	6.10	-1.0
/ 200 IP	—	RAW		37	32	200	867	146	108	45	87%	5.3	16.7%	12.6%	4.1%	5.1%	5.92	6.10	-2.6
Career	—	MLE		191	113	736	3031	579	318	79	59%	3.9	19.1%	10.5%	8.6%	2.6%	3.40	4.25	-1.8
/ 200 IP	—	MLE		52	31	200	824	157	86	22	59%	3.9	19.1%	10.5%	8.6%	2.6%	3.40	4.25	-2.5

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
Tommy Romero (OGILVIE)	—	—	5.20	16.5%	11.1%	3.1%	—	5.43	16.9%	5.4%	136	+0.23	—	—	—
Kanekoa Texeira R 2015 · 4.13 FIP	29	SP-	4.13	14.5%	11.2%	1.5%	.280	4.10	10.2%	-0.2%	63	-0.03	4.10	165	73
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	70
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	70
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	69
Clayton Mortensen R 2015 · 4.41 FIP	30	SP-	4.41	15.0%	12.6%	1.8%	.289	4.43	22.0%	10.3%	115	+0.02	4.31	221	69
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	69
Kris Medlen R 2015 · 4.82 FIP	29	SP-	4.82	15.4%	6.4%	4.0%	.261	5.17	17.1%	8.6%	173	+0.35	4.59	261	69
Jacob Turner R 2018 · 4.48 FIP	27	SP-	4.48	14.9%	8.8%	2.8%	.297	—	—	—	—	—	4.29	340	68
David Griffin R 2023 · 5.85 FIP	27	SP-	5.85	13.9%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	68
Mark Appel R 2021 · 5.90 FIP	30	SP-	5.90	15.6%	15.6%	3.9%	.260	4.22	18.5%	8.1%	40	-1.68	4.22	363	68
Bradin Hagens R 2018 · 4.92 FIP	29	SP-	4.92	14.9%	9.9%	3.3%	.341	5.46	13.2%	0.6%	66	+0.54	3.79	254	67
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	67
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	67
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	67
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	67
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	67
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	67
Carlos Frías R 2019 · 4.42 FIP	29	SP-	4.42	16.9%	11.1%	2.4%	.369	—	—	—	—	—	3.58	204	67
Aaron Brooks R 2019 · 4.72 FIP	29	SP-	4.72	17.0%	7.1%	3.9%	.281	4.38	15.8%	8.8%	70	-0.34	3.71	879	67
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	4.34	219	66

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.9	47	16.8%	11.3%	1.32	5.29
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77