Angel Roman — OGILVIE

Angel Roman P Fredericksburg Nationals

Age 22 LHP 5'11" / 162 lbs A peak 0.1 · 2029

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

showingROS

wRC+ AGAINSTvL 125133vR 142

ERA5.71

FIP5.71

K%10.0%

BB%12.2%

K-BB%-2.2%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Contract

Scouting Grades

STUF2020

CTRL4545

CMD2525

K†3040

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)
2022	18	ROK MLE	DSL Nationals	14	0	27	111	35	12	1	0%	2.0	21.4%	13.5%	7.9%	1.4%	2.96	3.75	—
2022	18	ROK RAW	DSL Nationals	14	0	27	111	35	12	1	0%	2.0	31.5%	10.8%	20.7%	0.9%	2.96	2.33	—
2023	19	ROK MLE	DSL Nationals	15	2	39	160	32	7	1	13%	2.6	13.6%	5.5%	8.1%	0.9%	3.20	3.12	—
2023	19	ROK MLE	DSL Nationals	15	2	39	160	32	7	1	13%	2.6	13.6%	5.5%	8.1%	0.9%	3.20	3.12	—
2023	19	ROK RAW	DSL Nationals	15	2	39	160	32	7	1	13%	2.6	20.0%	4.4%	15.6%	0.6%	3.20	2.34	—
2024	20	MIX MLE	2 levels	23	3	50	217	55	16	0	13%	2.2	17.8%	9.1%	8.8%	0.0%	2.88	2.74	—
2024	20	MIX MLE	2 levels	23	3	50	217	55	16	0	13%	2.2	17.8%	9.1%	8.8%	0.0%	2.88	2.74	—
2024	20	MIX RAW	2 levels	23	3	50	217	55	16	0	13%	2.2	25.3%	7.4%	18.0%	0.0%	2.88	1.86	—
2025	21	A MLE	Fredericksburg Nationals	28	12	80	374	51	33	7	43%	2.8	10.1%	10.4%	-0.3%	2.3%	7.79	4.85	—
2025	21	A MLE	Fredericksburg Nationals	28	12	80	374	51	33	7	43%	2.8	10.1%	10.4%	-0.3%	2.3%	7.79	4.85	—
2025	21	A RAW	Fredericksburg Nationals	28	12	80	374	51	33	7	43%	2.8	13.6%	8.8%	4.8%	1.9%	7.79	4.20	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	22	MLB	WSH	4	0	4	17	2	2	0	0%	1.0	10.0%	12.2%	-2.2%	2.8%	5.71	5.71	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	23	MLB MLE	WSH	71	0	74	314	42	36	9	0%	1.0	13.3%	11.6%	1.7%	2.8%	5.43	5.34	-0.7
2028	24	MLB MLE	WSH	73	0	76	322	49	36	9	0%	1.0	15.3%	11.2%	4.1%	2.7%	5.21	5.11	-0.5
2029	25	MLB MLE	WSH	74	0	77	326	54	36	9	0%	1.0	16.5%	11.0%	5.5%	2.7%	5.06	4.98	-0.4
2030	26	MLB MLE	WSH	74	0	77	326	56	36	9	0%	1.0	17.1%	10.9%	6.2%	2.7%	4.97	4.92	-0.3
2031	27	MLB MLE	WSH	72	0	76	321	55	35	9	0%	1.1	17.1%	11.0%	6.1%	2.8%	4.96	4.96	-0.4
2032	28	MLB MLE	WSH	70	0	74	312	53	35	9	0%	1.1	17.0%	11.1%	5.8%	2.9%	5.01	5.04	-0.4
2033	29	MLB MLE	WSH	67	0	70	298	50	34	9	0%	1.1	16.7%	11.3%	5.4%	3.0%	5.11	5.18	-0.5
2034	30	MLB MLE	WSH	63	0	66	280	46	33	9	0%	1.1	16.4%	11.6%	4.7%	3.2%	5.26	5.35	-0.6
2027	23	MLB CTX	WSH	35	0	37	156	21	18	4	0%	1.1	13.3%	11.6%	1.7%	2.8%	5.43	5.34	-0.3
2028	24	MLB CTX	WSH	50	0	53	224	34	25	6	0%	1.1	15.3%	11.2%	4.1%	2.7%	5.21	5.11	-0.3
2029	25	MLB CTX	WSH	60	0	63	266	44	29	7	0%	1.1	16.5%	11.0%	5.5%	2.7%	5.06	4.98	-0.3
2030	26	MLB CTX	WSH	65	0	68	287	49	31	8	0%	1.0	17.1%	10.9%	6.2%	2.7%	4.97	4.92	-0.3
2031	27	MLB CTX	WSH	66	0	69	291	50	32	8	0%	1.0	17.1%	11.0%	6.1%	2.8%	4.96	4.96	-0.3
2032	28	MLB CTX	WSH	65	0	68	287	49	32	8	0%	1.0	17.0%	11.1%	5.8%	2.9%	5.01	5.04	-0.4
2033	29	MLB CTX	WSH	63	0	66	279	47	32	8	0%	1.0	16.7%	11.3%	5.4%	3.0%	5.11	5.18	-0.5
2034	30	MLB CTX	WSH	59	0	62	262	43	30	8	0%	1.1	16.4%	11.6%	4.7%	3.2%	5.26	5.35	-0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		461	0	484	2045	335	229	59	0%	1.1	16.4%	11.2%	5.2%	2.9%	5.10	4.71	-0.9
/ 200 IP	—	RAW		190	0	200	844	138	95	24	0%	1.1	16.4%	11.2%	5.2%	2.9%	5.10	4.71	-0.4
Career	—	MLE		80	17	196	862	122	82	12	21%	2.5	14.2%	9.6%	4.6%	1.4%	4.95	3.86	-3.8
/ 200 IP	—	MLE		81	17	200	878	124	84	12	21%	2.5	14.2%	9.6%	4.6%	1.4%	4.95	3.86	-1.3

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
Angel Roman (OGILVIE)	—	—	5.71	10.0%	12.2%	2.8%	—	5.14	15.0%	3.8%	228	-0.57	—	—	—
Edwin Escobar L 2015 · 5.96 FIP	23	SW	5.96	9.6%	11.9%	3.9%	.268	4.28	13.7%	4.9%	122	-1.68	4.28	218	87
Scott Squier L 2015 · 5.28 FIP	22	SW	5.28	12.2%	11.2%	3.3%	.362	4.06	13.9%	7.9%	234	-1.22	3.29	276	85
Graeme Stinson L 2021 · 5.66 FIP	23	SU	5.66	12.6%	12.6%	3.7%	.266	4.14	21.4%	8.7%	101	-1.52	3.56	146	82
Estevan Gonzalez L 2015 · 4.77 FIP	23	SW	4.77	14.1%	10.7%	2.8%	.322	4.86	14.7%	0.1%	130	+0.09	4.58	195	81
Oscar Armenta L 2016 · 5.06 FIP	22	SW	5.06	10.4%	15.7%	1.6%	.335	3.84	7.0%	-3.5%	11	-1.22	3.84	118	80
Tom Windle L 2015 · 4.63 FIP	23	SW	4.63	12.3%	13.0%	1.7%	.304	4.33	18.0%	6.8%	159	-0.30	3.68	330	79
Austin Davis L 2015 · 4.83 FIP	22	SW	4.83	14.7%	12.4%	2.5%	.259	2.97	23.3%	15.8%	151	-1.86	2.19	486	78
Wilfred Salaman L 2019 · 4.82 FIP	21	SU	4.82	13.1%	12.0%	2.4%	.283	—	—	—	—	—	4.26	218	77
Justin Kelly L 2016 · 4.96 FIP	23	SU	4.96	13.4%	12.7%	2.5%	.421	3.71	19.4%	4.6%	123	-1.25	3.51	160	76
Lane Ratliff L 2017 · 6.08 FIP	22	SP-	6.08	12.0%	12.8%	4.3%	.344	3.25	15.9%	7.7%	80	-2.83	2.85	109	76
Will Gilbert L 2017 · 4.69 FIP	23	SU	4.69	12.4%	11.9%	2.1%	.339	3.64	19.2%	10.3%	122	-1.05	2.92	141	76
Nestor Bautista L 2016 · 5.98 FIP	24	SU	5.98	6.9%	11.0%	3.8%	.276	3.53	21.7%	17.6%	92	-2.45	1.76	108	75
Braeden Fausnaught L 2023 · 4.77 FIP	24	SW	4.77	16.9%	16.4%	1.8%	.287	4.60	17.9%	9.7%	179	-0.17	4.43	242	74
Kikito Severino L 2023 · 5.78 FIP	21	SW	5.78	11.9%	19.5%	2.2%	.336	—	—	—	—	—	3.87	135	74
Jason Richman L 2016 · 5.03 FIP	22	SU	5.03	8.0%	12.7%	1.8%	.211	3.97	15.3%	6.6%	120	-1.06	3.67	164	73
Max Green L 2018 · 4.87 FIP	22	SU	4.87	15.7%	13.3%	2.6%	.352	4.41	13.9%	6.6%	86	-0.46	4.19	169	73
Jack O'Loughlin L 2022 · 4.83 FIP	22	SW	4.83	17.0%	13.7%	2.6%	.269	4.81	17.0%	6.8%	239	-0.02	3.78	348	73
Maikel Sepulveda L 2017 · 4.78 FIP	20	SW	4.78	10.5%	11.5%	2.0%	.288	—	—	—	—	—	4.24	125	72
Darwin Rodriguez L 2023 · 5.77 FIP	20	SW	5.77	13.6%	9.1%	4.9%	.355	3.72	17.5%	8.7%	201	-2.05	3.03	226	71
Jhonny Diaz L 2017 · 4.56 FIP	21	SU	4.56	7.4%	7.1%	2.2%	.333	—	—	—	—	—	3.74	116	71

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	3.2	72	15.7%	11.3%	1.11	5.17
Buck Farmer ('24)	2.5	50	21.6%	10.5%	1.23	4.59
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99
Jacob Barnes ('24)	1.5	42	22.1%	9.6%	1.21	4.58
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Luis Cessa ('23)	2.1	53	18.3%	7.8%	1.40	4.43
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04