Angel Perdomo

P Salt Lake Bees

Age 33 LHP 6'8" / 265 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	29	MIX2 levels	50	52	3.48	2.69	36.9%	11.2%	1.1	K 34.6% · BB 10.5% · FIP 2.85
2025	31	MIX2 levels	16	18	5.50	6.99	17.9%	19.0%	-0.5	K 16.4% · BB 17.2% · FIP 6.89
2026	32	AAALAA	10	12	12.00	7.85	16.7%	19.4%	—	K 14.3% · BB 17.5% · FIP 6.62
2027PROJ	33	MLBLAA	14	15	5.54	5.64	20.4%	14.4%	-0.2
2028PROJ6% MLB	34	MLBLAA	5	5	5.64	5.80	19.6%	14.3%	-0.1
2029PROJMLE	35	MLBLAA	1	1	5.83	6.02	18.8%	14.3%	-0.0

Last 3 seasons WAR 0.6 · Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff66Control28Command68FB velo50

CompsDoug Creek (age 33) · Edgar Osuna (age 31) · Santiago Gutierrez (age 33)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124132vR 140

ERA5.54

FIP5.64

K%20.4%

BB%14.4%

K-BB%5.9%

Proj IP147

Value2027 · WAR

Runs saved vs league avg · 147 IP

Grades · Contract

Scouting Grades

STUF6565

CTRL3030

CMD7070

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 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)
2015	21	ROK MLE	Bluefield Blue Jays	9	9	48	200	36	14	3	100%	5.3	12.2%	8.8%	3.5%	2.1%	2.62	4.33	—
2015	21	ROK RAW	Bluefield Blue Jays	9	9	48	200	36	14	3	100%	5.3	18.0%	7.0%	11.0%	1.5%	2.62	3.29	—
2016	22	A MLE	Lansing Lugnuts	27	25	127	536	156	54	4	93%	4.7	21.5%	11.9%	9.6%	1.0%	3.19	3.34	—
2016	22	A RAW	Lansing Lugnuts	27	25	127	536	156	54	4	93%	4.7	29.1%	10.1%	19.0%	0.7%	3.19	2.33	—
2017	23	A+ MLE	Dunedin Blue Jays	16	16	75	341	65	43	7	100%	4.7	14.7%	14.5%	0.2%	2.0%	3.70	4.81	—
2017	23	A+ RAW	Dunedin Blue Jays	16	16	75	341	65	43	7	100%	4.7	19.1%	12.6%	6.5%	2.1%	3.70	4.29	—
2018	24	A+ MLE	Dunedin Blue Jays	26	12	79	340	100	35	5	46%	3.1	22.6%	11.8%	10.8%	1.6%	3.63	3.57	—
2018	24	A+ RAW	Dunedin Blue Jays	26	12	79	340	100	35	5	46%	3.1	29.4%	10.3%	19.1%	1.5%	3.63	2.72	—
2019	25	MIX MLE	2 levels	47	0	69	306	107	45	8	0%	1.5	30.3%	15.6%	14.7%	2.9%	4.28	4.13	—
2019	25	MIX RAW	2 levels	47	0	69	306	107	45	8	0%	1.5	35.0%	14.7%	20.3%	2.6%	4.28	3.46	—
2020	26	MLB MLE	Milwaukee Brewers	3	0	3	19	5	6	0	0%	0.9	26.3%	31.6%	-5.3%	0.0%	20.25	4.88	-0.0
2020	26	MLB RAW	Milwaukee Brewers	3	0	3	19	5	6	0	0%	0.9	26.3%	31.6%	-5.3%	0.0%	20.25	6.10	-0.0
2021	27	MIX MLE	2 levels	33	1	31	131	53	18	5	3%	0.9	38.2%	13.9%	24.3%	3.8%	4.06	3.74	+0.3
2021	27	MIX RAW	2 levels	33	1	31	131	53	18	5	3%	0.9	40.5%	13.7%	26.7%	3.8%	4.06	3.52	+0.4
2022	28	MIX MLE	2 levels	26	2	34	139	56	18	2	8%	1.3	35.3%	14.3%	21.0%	1.6%	1.85	2.82	—
2022	28	MIX RAW	2 levels	26	2	34	139	56	18	2	8%	1.3	40.3%	12.9%	27.3%	1.4%	1.85	2.16	—
2023	29	MIX MLE	2 levels	50	0	52	214	79	24	5	0%	1.0	34.6%	10.5%	24.2%	2.5%	3.48	2.85	+1.1
2023	29	MIX RAW	2 levels	50	0	52	214	79	24	5	0%	1.0	36.9%	11.2%	25.7%	2.3%	3.48	2.69	+1.1
2025	31	MIX MLE	2 levels	16	0	18	84	15	16	4	0%	1.1	16.4%	17.2%	-0.8%	5.5%	5.50	6.89	-0.5
2025	31	MIX MLE	2 levels	16	0	18	84	15	16	4	0%	1.1	16.4%	17.2%	-0.8%	5.5%	5.50	6.89	-0.5
2025	31	MIX RAW	2 levels	16	0	18	84	15	16	4	0%	1.1	17.9%	19.0%	-1.2%	4.8%	5.50	6.99	-0.5
2026	32	AAA MLE	Salt Lake Bees	10	0	12	72	12	14	3	0%	1.2	14.3%	17.5%	-3.2%	4.6%	12.00	6.62	—
2026	32	AAA MLE	Salt Lake Bees	10	0	12	72	12	14	3	0%	1.2	14.3%	17.5%	-3.2%	4.6%	12.00	6.62	—
2026	32	AAA RAW	Salt Lake Bees	10	0	12	72	12	14	3	0%	1.2	16.7%	19.4%	-2.8%	4.2%	12.00	7.85	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			56	0	52	231	79	31	7	0%	0.9	34.2%	13.4%	20.8%	3.0%	5.54	3.60	+0.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	LAA	14	0	15	63	13	9	2	0%	1.1	20.4%	14.4%	5.9%	3.7%	5.54	5.64	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	LAA	95	0	99	420	82	60	17	0%	1.0	19.6%	14.3%	5.4%	4.0%	5.64	5.80	-1.3
2029	35	MLB MLE	LAA	72	0	75	318	60	46	13	0%	1.0	18.8%	14.3%	4.5%	4.2%	5.83	6.02	-1.1
2028	34	MLB CTX	LAA	5	0	5	21	4	3	1	0%	1.0	19.6%	14.3%	5.4%	4.0%	5.64	5.80	-0.1
2029	35	MLB CTX	LAA	1	0	1	4	1	1	0	0%	1.0	18.8%	14.3%	4.5%	4.2%	5.83	6.02	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		62	0	58	257	84	35	8	0%	0.9	32.7%	13.5%	19.2%	3.1%	5.55	3.77	+0.5
/ 200 IP	—	RAW		213	0	200	884	289	120	27	0%	0.9	32.7%	13.5%	19.2%	3.1%	5.55	3.77	+1.9
Career	—	MLE		263	65	548	2382	562	312	51	25%	2.1	23.6%	13.1%	10.5%	2.2%	3.76	3.95	-2.1
/ 200 IP	—	MLE		96	24	200	869	205	114	19	25%	2.1	23.6%	13.1%	10.5%	2.2%	3.76	3.95	-1.9

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 AAASalt Lake Bees · 12 IPFIP 6.44 → 6.62 (+0.18)K% 16.7% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.67%	—	×0.860	14.33%
BB% (unintentional) /BF	19.44%	—	×0.900	17.50%
HR / BF /BF	4.17%	÷1.000	×1.100	4.58%

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 6.44 → 6.62, 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 AAALas Vegas Aviators · 15 IPFIP 7.14 → 6.89 (−0.24)K% 19.1% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.12%	—	×0.860	16.44%
BB% (unintentional) /BF	19.12%	—	×0.900	17.21%
HR / BF /BF	5.88%	÷1.183	×1.100	5.47%

Result: FIP 7.14 → 6.89, 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 AAAIndianapolis Indians · 23 IPFIP 3.27 → 3.50 (+0.22)K% 36.1% → 31.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.08%	—	×0.860	31.03%
BB% (unintentional) /BF	16.49%	—	×0.900	14.85%
HR / BF /BF	2.06%	÷1.095	×1.100	2.07%

Result: FIP 3.27 → 3.50, 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).

2022 AAADurham Bulls · 32 IPFIP 2.27 → 2.82 (+0.55)K% 40.2% → 35.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	40.15%	—	×0.880	35.33%
BB% (unintentional) /BF	13.64%	—	×1.050	14.32%
HR / BF /BF	1.52%	÷1.034	×1.100	1.61%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 107).

Result: FIP 2.27 → 2.82, 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).

2021 AAANashville Sounds · 14 IPFIP 1.07 → 1.82 (+0.75)K% 48.1% → 42.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	48.08%	—	×0.880	42.31%
BB% (unintentional) /BF	7.69%	—	×1.050	8.08%
HR / BF /BF	1.92%	÷0.915	×1.100	2.31%

Result: FIP 1.07 → 1.82, 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).

2019 AAASan Antonio Missions · 54 IPFIP 3.84 → 4.52 (+0.68)K% 35.1% → 30.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.10%	—	×0.880	30.89%
BB% (unintentional) /BF	15.10%	—	×1.050	15.86%
HR / BF /BF	3.27%	÷0.977	×1.100	3.68%

Result: FIP 3.84 → 4.52, 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).

2019 AABiloxi Shuckers · 15 IPFIP 1.85 → 2.57 (+0.72)K% 34.4% → 27.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.43%	—	×0.810	27.89%
BB% (unintentional) /BF	13.11%	—	×1.100	14.43%
HR / BF /BF	0.00%	÷1.018	×1.200	0.00%

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 104).

Result: FIP 1.85 → 2.57, 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).

2018 A+Dunedin Blue Jays · 79 IPFIP 2.73 → 3.57 (+0.84)K% 29.4% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.41%	—	×0.770	22.65%
BB% (unintentional) /BF	10.29%	—	×1.150	11.84%
HR / BF /BF	1.47%	÷1.147	×1.250	1.60%

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 129).

Result: FIP 2.73 → 3.57, 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
Angel Perdomo (OGILVIE)	—	—	5.64	20.4%	14.4%	3.7%	—	5.89	19.3%	5.0%	175	+0.25	—	—	—
Doug Creek L 2002 · 4.99 FIP	33	SU	4.99	21.4%	12.6%	3.8%	.288	5.79	17.1%	7.9%	36	+0.80	4.48	277	56
Edgar Osuna L 2019 · 5.09 FIP	31	SW	5.09	10.0%	7.2%	3.5%	.373	—	—	—	—	—	5.05	175	54
Santiago Gutierrez L 2019 · 6.54 FIP	33	SU	6.54	17.1%	13.4%	5.8%	.293	—	—	—	—	—	3.90	341	53
Micah Bowie L 2007 · 4.60 FIP	32	SW	4.60	16.9%	10.9%	2.8%	.279	—	—	—	—	—	3.78	140	52
Carlos Teller L 2019 · 4.90 FIP	32	SP-	4.90	13.1%	14.2%	2.0%	.365	—	—	—	—	—	3.75	333	50
Chris Narveson L 2015 · 4.79 FIP	33	SW	4.79	23.6%	8.0%	4.9%	.333	4.59	14.1%	4.5%	193	-0.20	4.00	625	46
Edwin Escobar L 2024 · 5.12 FIP	32	SU	5.12	19.6%	14.0%	3.5%	.275	—	—	—	—	—	4.28	218	45
Brian Shouse L 2002 · 5.54 FIP	33	SU	5.54	15.5%	11.3%	4.2%	.245	3.31	16.3%	10.7%	159	-2.23	2.32	339	42
Edward Paredes L 2019 · 5.10 FIP	32	SU	5.10	21.5%	7.3%	5.3%	.364	—	—	—	—	—	2.36	130	36
Randy Flores L 2008 · 4.49 FIP	33	SU	4.49	13.0%	13.0%	1.5%	.337	4.95	18.0%	9.6%	43	+0.46	2.51	250	35
Stephen Randolph L 2007 · 5.97 FIP	33	SU	5.97	28.2%	19.2%	5.1%	.450	—	—	—	—	—	4.83	155	34
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	31
Angel Castro R 2016 · 5.42 FIP	33	SW	5.42	12.3%	9.1%	4.0%	.304	3.51	14.5%	7.1%	139	-1.91	3.51	292	30
Chris Michalak L 2002 · 4.71 FIP	31	SU	4.71	7.0%	11.3%	1.4%	.333	—	—	—	—	—	4.71	186	29
Austin Adams R 2019 · 5.80 FIP	32	SU	5.80	20.8%	10.6%	5.7%	.280	—	—	—	—	—	3.40	162	29
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	28
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	28
Rodolfo Aguirre R 2017 · 5.96 FIP	32	SW	5.96	10.0%	13.0%	3.8%	.316	4.50	21.3%	16.2%	15	-1.46	3.39	212	27
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	27
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	2.16	306	27

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	1.9	93	21.8%	14.6%	1.47	5.62
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Britt Reames ('06)	1.1	73	20.7%	12.0%	1.32	5.28
Dan Warthen ('75-'78, 1 WAR*)	1.5	102	24.8%*	14.2%*	1.27*	4.86*
Tim Conroy ('78-'87, -3 WAR*)	2.3	78	20.8%*	13.6%*	1.12*	5.23*
Frank LaCorte ('75-'84, -4 WAR*)	2.5	61	25.0%*	12.0%*	1.43*	5.83*