Blas Castaño

P Albuquerque Isotopes

Age 28 RHP 5'10" / 162 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX2 levels	29	26	125	4.38	3.96	20.0%	8.0%	—	K 16.9% · BB 7.9% · FIP 4.24
2025	26	MIX2 levels	30	24	130	5.28	4.32	17.4%	9.4%	1.6	K 15.3% · BB 8.4% · FIP 4.16
2026	27	MIX2 levels	39	0	58	3.72	4.17	18.4%	10.0%	0.3	K 17.1% · BB 9.4% · FIP 4.17
2027PROJ	28	MLBCOL	17	17	109	4.79	4.83	16.7%	9.1%	0.7
2028PROJ80% MLB	29	MLBCOL	10	10	62	4.85	4.93	16.7%	9.2%	0.3
2029PROJ85% MLB	30	MLBCOL	6	6	40	4.97	5.09	16.4%	9.4%	0.1

Last 3 seasons WAR 1.9 · Next 3 projected WAR 1.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo50

K%27

xwOBA vs10

Career WAR0.0 WAR median (P10 -0.2 / P90 0.6, comp-based) · star 0% · didn't stick 96%

CompsEddie Bonine (age 28) · Zach Stewart (age 28) · Clay Condrey (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.79

FIP4.83

K%16.7%

BB%9.1%

K-BB%7.6%

Proj IP150

Value2027 · WAR

Runs saved vs league avg · 150 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p5094.5

Whiff%

p1018.6%

p2718.9%

xwOBA vs

p100.367

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)
2018	19	ROK MLE	DSL Yankees	11	7	40	189	30	20	2	64%	3.6	10.8%	13.2%	-2.4%	1.5%	5.40	4.68	—
2018	19	ROK RAW	DSL Yankees	11	7	40	189	30	20	2	64%	3.6	15.9%	10.6%	5.3%	1.1%	5.40	3.75	—
2019	20	ROK MLE	GCL Yankees West	14	10	67	294	41	14	7	71%	4.8	9.5%	6.0%	3.5%	3.3%	4.05	4.88	—
2019	20	ROK RAW	GCL Yankees West	14	10	67	294	41	14	7	71%	4.8	13.9%	4.8%	9.2%	2.4%	4.05	3.87	—
2021	22	MIX MLE	2 levels	10	8	45	191	55	10	2	80%	4.5	19.3%	5.7%	13.6%	1.6%	4.17	3.06	—
2021	22	MIX RAW	2 levels	10	8	45	191	55	10	2	80%	4.5	28.8%	5.2%	23.6%	1.0%	4.17	1.91	—
2022	23	MIX MLE	2 levels	22	21	107	465	103	34	12	95%	4.9	17.2%	8.4%	8.8%	2.2%	3.86	3.91	—
2022	23	MIX RAW	2 levels	22	21	107	465	103	34	12	95%	4.9	22.2%	7.3%	14.8%	2.6%	3.86	3.58	—
2023	24	MIX MLE	2 levels	26	11	78	336	75	35	8	42%	3.0	18.2%	12.0%	6.2%	3.5%	4.37	5.01	—
2023	24	MIX RAW	2 levels	26	11	78	336	75	35	8	42%	3.0	22.3%	10.4%	11.9%	2.4%	4.37	3.85	—
2024	25	MIX MLE	2 levels	29	26	125	540	108	43	15	90%	4.3	16.9%	7.9%	9.0%	2.9%	4.38	4.24	—
2024	25	MIX MLE	2 levels	29	26	125	540	108	43	15	90%	4.3	16.9%	7.9%	9.0%	2.9%	4.38	4.24	—
2024	25	MIX RAW	2 levels	29	26	125	540	108	43	15	90%	4.3	20.0%	8.0%	12.0%	2.8%	4.38	3.96	—
2025	26	MIX MLE	2 levels	30	24	130	562	98	53	15	80%	4.3	15.3%	8.4%	6.9%	2.3%	5.28	4.16	+1.9
2025	26	MIX MLE	2 levels	30	24	130	562	98	53	15	80%	4.3	15.3%	8.4%	6.9%	2.3%	5.28	4.16	+1.9
2025	26	MIX RAW	2 levels	30	24	130	562	98	53	15	80%	4.3	17.4%	9.4%	8.0%	2.7%	5.28	4.32	+1.6
2026	27	MIX MLE	2 levels	39	0	58	239	44	24	6	0%	1.5	17.1%	9.4%	7.6%	2.4%	3.72	4.17	+0.3
2026	27	MIX MLE	2 levels	39	0	58	239	44	24	6	0%	1.5	17.1%	9.4%	7.6%	2.4%	3.72	4.17	+0.3
2026	27	MIX RAW	2 levels	39	0	58	239	44	24	6	0%	1.5	18.4%	10.0%	8.4%	2.5%	3.72	4.17	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			16	0	30	127	22	11	5	0%	1.9	17.3%	8.7%	8.7%	3.9%	4.15	4.88	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	COL	17	17	109	460	77	42	13	100%	6.4	16.7%	9.1%	7.6%	2.9%	4.79	4.83	+0.7
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	COL	12	12	78	328	55	30	10	100%	6.5	16.7%	9.2%	7.5%	3.1%	4.85	4.93	+0.4
2029	30	MLB MLE	COL	7	7	47	197	32	18	6	100%	6.7	16.4%	9.4%	7.0%	3.3%	4.97	5.09	+0.2
2028	29	MLB CTX	COL	10	10	62	262	44	24	8	100%	6.2	16.7%	9.2%	7.5%	3.1%	4.85	4.93	+0.3
2029	30	MLB CTX	COL	6	6	40	169	28	16	6	100%	6.7	16.4%	9.4%	7.0%	3.3%	4.97	5.09	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		32	16	132	556	93	51	19	50%	4.1	16.7%	9.1%	7.6%	3.3%	4.73	4.68	+1.1
/ 200 IP	—	RAW		48	24	200	843	141	77	29	49%	4.2	16.7%	9.1%	7.6%	3.3%	4.73	4.68	-0.3
Career	—	MLE		181	107	651	2816	444	245	72	59%	3.6	15.8%	8.7%	7.1%	2.6%	4.43	4.27	+0.8
/ 200 IP	—	MLE		56	33	200	866	137	75	22	59%	3.6	15.8%	8.7%	7.1%	2.6%	4.43	4.27	+1.0

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 AAAAlbuquerque Isotopes · 31 IPFIP 3.92 → 4.07 (+0.15)K% 18.0% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.97%	—	×0.860	15.45%
BB% (unintentional) /BF	11.72%	—	×0.900	10.55%
HR / BF /BF	1.56%	÷1.000	×1.100	1.72%

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 3.92 → 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).

2025 AAATacoma Rainiers · 127 IPFIP 4.19 → 4.16 (−0.03)K% 17.8% → 15.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.77%	—	×0.860	15.28%
BB% (unintentional) /BF	9.34%	—	×0.900	8.41%
HR / BF /BF	2.56%	÷1.204	×1.100	2.34%

Result: FIP 4.19 → 4.16, 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 AAATacoma Rainiers · 74 IPFIP 4.34 → 4.44 (+0.10)K% 23.3% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.34%	—	×0.860	20.08%
BB% (unintentional) /BF	7.57%	—	×0.900	6.81%
HR / BF /BF	4.10%	÷1.142	×1.100	3.95%

Result: FIP 4.34 → 4.44, 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 AAArkansas Travelers · 52 IPFIP 3.38 → 3.96 (+0.58)K% 15.2% → 12.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.25%	—	×0.810	12.35%
BB% (unintentional) /BF	8.52%	—	×1.100	9.37%
HR / BF /BF	0.90%	÷0.820	×1.200	1.31%

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 64).

Result: FIP 3.38 → 3.96, 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 AAArkansas Travelers · 75 IPFIP 3.95 → 5.01 (+1.05)K% 22.4% → 18.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.43%	—	×0.810	18.17%
BB% (unintentional) /BF	10.90%	—	×1.100	11.99%
HR / BF /BF	2.49%	÷0.853	×1.200	3.51%

Result: FIP 3.95 → 5.01, 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 A+Hudson Valley Renegades · 106 IPFIP 3.11 → 3.91 (+0.80)K% 22.4% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.39%	—	×0.770	17.24%
BB% (unintentional) /BF	7.32%	—	×1.150	8.41%
HR / BF /BF	1.77%	÷1.014	×1.250	2.19%

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 103).

Result: FIP 3.11 → 3.91, 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).

2021 ATampa Tarpons · 38 IPFIP 2.18 → 3.06 (+0.88)K% 26.1% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.06%	—	×0.740	19.28%
BB% (unintentional) /BF	4.85%	—	×1.180	5.72%
HR / BF /BF	1.21%	÷1.000	×1.300	1.58%

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 100).

Result: FIP 2.18 → 3.06, 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 ROKFCL Yankees · 7 IPFIP 0.18 → 1.67 (+1.49)K% 46.2% → 31.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	46.15%	—	×0.680	31.38%
BB% (unintentional) /BF	7.69%	—	×1.250	9.62%
HR / BF /BF	0.00%	÷0.989	×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 98).

Result: FIP 0.18 → 1.67, 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
Blas Castaño (OGILVIE)	—	—	—	—	—	2.9%	—	4.99	16.5%	7.3%	124	+0.16	—	—	—
Eddie Bonine R 2009 · 5.60 FIP	28	SW	5.60	13.1%	7.6%	4.8%	.306	4.54	8.6%	2.0%	68	-1.06	4.40	129	79
Zach Stewart R 2015 · 4.43 FIP	28	SP-	4.43	14.4%	8.3%	2.7%	.322	5.17	11.7%	2.1%	51	+0.74	4.27	194	78
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	78
Jon Leicester R 2007 · 4.44 FIP	28	SP-	4.44	11.0%	9.0%	2.1%	.292	—	—	—	—	—	3.76	113	77
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	76
Dustin Nippert R 2009 · 4.09 FIP	28	SP-	4.09	18.0%	9.7%	2.3%	.271	4.49	17.9%	6.1%	57	+0.40	3.83	268	75
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	75
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	75
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	75
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	73
Jeff Manship R 2013 · 5.11 FIP	28	SW	5.11	12.9%	7.9%	3.8%	.298	3.57	20.0%	11.7%	137	-1.54	2.83	250	73
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	73
Alfonso Sanchez R 2016 · 5.26 FIP	28	SW	5.26	15.9%	7.4%	4.7%	.244	5.55	11.2%	2.3%	115	+0.29	4.51	224	73
Casey Sadler R 2018 · 3.95 FIP	28	SW	3.95	16.0%	7.8%	2.2%	.298	3.35	23.2%	16.5%	145	-0.60	2.21	385	72
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	72
Max Beatty R 2017 · 3.88 FIP	26	SP-	3.88	13.2%	6.4%	2.0%	.309	—	—	—	—	—	3.88	117	72
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	71
Jared Fernandez R 2001 · 4.66 FIP	29	SW	4.66	8.8%	10.5%	1.8%	.267	3.95	14.0%	5.6%	89	-0.71	3.57	101	70
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	70
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	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	1.5	76	16.7%	9.1%	1.21	4.77
Bryan Hickerson ('95)	2.0	81	15.9%	8.1%	1.16	4.72
J. C. Ramirez ('13-'19, -0 WAR*)	1.4	72	15.1%*	8.7%*	1.30*	4.83*
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*
JC Ramírez ('19)	1.4	72	16.4%	8.4%	1.44	4.71
Paul Gibson ('88-'96, 2 WAR*)	2.8	80	19.0%*	9.5%*	1.18*	4.37*
Bob Humphreys ('62-'70, 1 WAR*)	2.8	81	19.5%*	9.5%*	1.24*	4.22*