Roman Angelo

P Amarillo Sod Poodles

Age 27 RHP 6'5" / 220 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	23	22	121	3.49	2.81	29.7%	9.8%	—	K 22.6% · BB 11.4% · FIP 3.99
2025	25	MIX2 levels	27	27	129	5.30	5.20	21.3%	12.6%	—	K 17.4% · BB 13.4% · FIP 5.35
2026	26	MIX2 levels	25	5	48	7.31	6.10	26.1%	13.7%	—	K 22.4% · BB 13.4% · FIP 6.91
2027PROJ	27	MLBARI	1	1	1	5.79	5.79	18.3%	14.2%	-0.0
2028PROJ38% MLB	28	MLBARI	3	3	18	5.69	5.73	18.7%	13.8%	-0.1
2029PROJ56% MLB	29	MLBARI	4	4	22	5.68	5.75	18.8%	13.7%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control40Command40

Career WAR0.0 WAR median (P10 -0.0 / P90 0.1, comp-based) · star 0% · didn't stick 98%

CompsClay Condrey (age 27) · Shawn Dubin (age 27) · Colby Morris (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.79

FIP5.79

K%18.3%

BB%14.2%

K-BB%4.1%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL4040

CMD4040

K†4545

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 the standard WAR scale.

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 + 2027 so far)
2023	23	ROK MLE	ACL D-backs Black	5	2	8	35	6	5	0	40%	1.5	17.1%	14.3%	2.9%	0.0%	2.35	3.46	—
2023	23	ROK RAW	ACL D-backs Black	5	2	8	35	6	5	0	40%	1.5	17.1%	14.3%	2.9%	0.0%	2.35	3.49	—
2024	24	MIX MLE	2 levels	23	22	121	509	151	50	9	96%	5.3	22.6%	11.4%	11.2%	2.5%	3.49	3.99	—
2024	24	MIX MLE	2 levels	23	22	121	509	151	50	9	96%	5.3	22.6%	11.4%	11.2%	2.5%	3.49	3.99	—
2024	24	MIX RAW	2 levels	23	22	121	509	151	50	9	96%	5.3	29.7%	9.8%	19.8%	1.8%	3.49	2.81	—
2025	25	MIX MLE	2 levels	27	27	129	587	125	74	23	100%	4.8	17.4%	13.4%	4.0%	3.7%	5.30	5.35	—
2025	25	MIX MLE	2 levels	27	27	129	587	125	74	23	100%	4.8	17.4%	13.4%	4.0%	3.7%	5.30	5.35	—
2025	25	MIX RAW	2 levels	27	27	129	587	125	74	23	100%	4.8	21.3%	12.6%	8.7%	3.9%	5.30	5.20	—
2026	26	MIX MLE	2 levels	25	5	48	226	59	31	13	20%	1.9	22.4%	13.4%	9.0%	7.3%	7.31	6.91	—
2026	26	MIX MLE	2 levels	25	5	48	226	59	31	13	20%	1.9	22.4%	13.4%	9.0%	7.3%	7.31	6.91	—
2026	26	MIX RAW	2 levels	25	5	48	226	59	31	13	20%	1.9	26.1%	13.7%	12.4%	5.8%	7.31	6.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	ARI	1	1	1	4	1	1	0	100%	1.0	18.3%	14.2%	4.1%	3.8%	5.79	5.79	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	ARI	8	8	47	198	37	27	7	100%	5.9	18.7%	13.8%	4.9%	3.8%	5.69	5.73	-0.2
2029	29	MLB MLE	ARI	7	7	40	171	32	23	7	100%	5.8	18.8%	13.7%	5.1%	3.9%	5.68	5.75	-0.2
2028	28	MLB CTX	ARI	3	3	18	76	14	11	3	100%	6.0	18.7%	13.8%	4.9%	3.8%	5.69	5.73	-0.1
2029	29	MLB CTX	ARI	4	4	22	93	17	13	4	100%	5.5	18.8%	13.7%	5.1%	3.9%	5.68	5.75	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	40	169	32	23	6	100%	5.7	18.8%	13.8%	5.0%	3.8%	5.68	5.36	+0.0
/ 200 IP	—	RAW		33	33	200	844	160	115	30	100%	6.0	18.8%	13.8%	5.0%	3.8%	5.68	5.36	+0.1
Career	—	MLE		80	56	306	1357	274	172	51	70%	3.8	20.2%	12.7%	7.5%	3.7%	4.82	5.05	-0.3
/ 200 IP	—	MLE		52	37	200	887	179	112	33	70%	3.8	20.2%	12.7%	7.5%	3.7%	4.82	5.05	-0.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAAmarillo Sod Poodles · 40 IPFIP 5.64 → 6.91 (+1.26)K% 27.6% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.62%	—	×0.810	22.38%
BB% (unintentional) /BF	12.15%	—	×1.100	13.37%
HR / BF /BF	6.08%	÷1.000	×1.200	7.29%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 5.64 → 6.91, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2026 AAAReno Aces · 8 IPFIP 6.38 → 6.61 (+0.23)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	20.00%	—	×0.900	18.00%
HR / BF /BF	4.44%	÷1.000	×1.100	4.89%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 6.38 → 6.61, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAAmarillo Sod Poodles · 113 IPFIP 4.89 → 5.17 (+0.29)K% 22.0% → 17.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.96%	—	×0.810	17.79%
BB% (unintentional) /BF	11.76%	—	×1.100	12.94%
HR / BF /BF	3.92%	÷1.333	×1.200	3.53%

Result: FIP 4.89 → 5.17, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AAAReno Aces · 16 IPFIP 6.12 → 6.55 (+0.43)K% 16.9% → 14.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.88%	—	×0.860	14.52%
BB% (unintentional) /BF	18.18%	—	×0.900	16.36%
HR / BF /BF	3.90%	÷0.904	×1.100	4.74%

Result: FIP 6.12 → 6.55, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Hillsboro Hops · 96 IPFIP 2.90 → 4.07 (+1.17)K% 27.8% → 21.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.82%	—	×0.770	21.42%
BB% (unintentional) /BF	8.27%	—	×1.150	9.51%
HR / BF /BF	2.01%	÷0.875	×1.250	2.87%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 75).

Result: FIP 2.90 → 4.07, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AVisalia Rawhide · 25 IPFIP 2.49 → 3.73 (+1.24)K% 36.4% → 26.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.36%	—	×0.740	26.91%
BB% (unintentional) /BF	15.45%	—	×1.180	18.24%
HR / BF /BF	0.91%	÷1.102	×1.300	1.07%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 120).

Result: FIP 2.49 → 3.73, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ROKACL D-backs Black · 8 IPFIP 3.46 → 4.38 (+0.92)K% 17.1% → 11.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.14%	—	×0.680	11.66%
BB% (unintentional) /BF	14.29%	—	×1.250	17.86%
HR / BF /BF	0.00%	÷1.038	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 108).

Result: FIP 3.46 → 4.38, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Roman Angelo (OGILVIE)	—	—	5.79	18.3%	14.2%	3.8%	—	5.74	18.7%	5.0%	87	-0.05	—	—	—
Clay Condrey R 2003 · 5.41 FIP	27	SP-	5.41	14.9%	10.1%	4.2%	.303	4.07	13.1%	7.4%	29	-1.34	3.18	250	79
Shawn Dubin R 2023 · 4.87 FIP	27	SP-	4.87	20.0%	12.9%	3.3%	.292	3.97	21.8%	11.4%	79	-0.90	3.02	341	76
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	76
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	75
Drake Fellows R 2024 · 4.97 FIP	26	SP-	4.97	16.1%	12.7%	2.9%	.293	4.85	14.2%	6.3%	207	-0.12	4.28	282	74
Deylen Miley R 2023 · 5.34 FIP	25	SP-	5.34	22.3%	17.5%	3.5%	.336	—	—	—	—	—	2.07	185	74
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	73
Keyvius Sampson R 2017 · 5.08 FIP	26	SP-	5.08	19.6%	16.4%	2.8%	.333	—	—	—	—	—	4.10	316	73
Luis Niebla R 2017 · 5.12 FIP	26	SP-	5.12	11.6%	13.2%	2.4%	.336	—	—	—	—	—	3.37	156	73
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	73
Paul Clemens R 2015 · 5.37 FIP	27	SP-	5.37	14.3%	14.1%	3.1%	.310	4.62	16.9%	7.3%	200	-0.75	4.58	345	73
Lisalverto Bonilla R 2017 · 4.61 FIP	27	SW	4.61	18.2%	10.5%	3.1%	.304	4.70	15.8%	3.2%	11	+0.09	3.22	242	72
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	72
Riley Thompson R 2023 · 5.76 FIP	27	SP-	5.76	18.5%	12.9%	4.7%	.284	4.48	17.6%	8.7%	107	-1.28	4.48	340	71
Edgar Alberto Garcia R 2015 · 5.24 FIP	27	SP-	5.24	11.6%	9.8%	3.4%	.263	4.28	15.3%	5.2%	167	-0.96	4.01	272	71
Aldo Montes R 2017 · 4.96 FIP	27	SP-	4.96	12.4%	8.5%	3.3%	.322	4.69	18.2%	7.6%	75	-0.27	4.69	210	71
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	71
Luis Romero R 2021 · 6.01 FIP	27	SW	6.01	13.8%	10.1%	5.1%	.293	5.68	11.7%	-1.4%	68	-0.33	4.00	293	70
Noah Song R 2023 · 6.06 FIP	26	SP	6.06	12.0%	13.2%	4.2%	.239	3.80	19.8%	8.3%	116	-2.26	3.68	138	70
Grant Judkins R 2024 · 5.13 FIP	26	SW	5.13	16.8%	9.1%	4.2%	.264	5.80	14.9%	5.8%	124	+0.67	5.13	322	70

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.7	49	18.6%	13.9%	1.47	5.73
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*