Braian Salazar

P Fort Wayne TinCaps

Age 22 LHP 6'2" / 165 lbs A+ peak 0.1 · 2030

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	MIX2 levels	20	4	37	5.11	3.18	31.2%	16.5%	—	K 22.0% · BB 20.2% · FIP 4.71
2025	20	MIX2 levels	34	2	56	5.50	2.65	29.3%	16.5%	—	K 21.9% · BB 18.4% · FIP 3.58
2026	21	A+SD	38	0	55	4.25	3.54	27.9%	12.9%	—	K 21.5% · BB 14.9% · FIP 4.60
2027PROJ	22	MLBSD	—	—	0	5.44	5.44	21.8%	18.1%	—
2028PROJ49% MLB	23	MLBSD	25	0	26	5.15	5.04	22.7%	15.6%	-0.1
2029PROJ70% MLB	24	MLBSD	35	0	37	4.90	4.78	23.3%	14.0%	-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

Stuff50Control20Command40

Career WAR0.0 WAR median (P10 -0.2 / P90 1.3, comp-based) · star 0% · didn't stick 91%

CompsJeff Belge (age 23) · Joseph Menefee (age 23) · Brendan Nail (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 120128vR 136

ERA5.44

FIP5.44

K%21.8%

BB%18.1%

K-BB%3.8%

Proj IP52

Value2027 · WAR

Runs saved vs league avg · 52 IP

Grades · Contract

Scouting Grades

STUF5050

CTRL2020

CMD4040

K†5055

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)
2022	17	ROK MLE	DSL Padres	7	7	15	59	12	5	2	100%	2.1	13.8%	10.6%	3.2%	4.9%	4.30	5.94	—
2022	17	ROK RAW	DSL Padres	7	7	15	59	12	5	2	100%	2.1	20.3%	8.5%	11.9%	3.4%	4.30	4.26	—
2023	18	ROK MLE	ACL Padres	3	0	8	30	13	2	1	0%	2.7	43.3%	6.7%	36.7%	3.3%	3.38	2.11	—
2023	18	ROK RAW	ACL Padres	3	0	8	30	13	2	1	0%	2.7	43.3%	6.7%	36.7%	3.3%	3.38	2.23	—
2024	19	MIX MLE	2 levels	20	4	37	176	55	29	2	20%	1.9	22.0%	20.2%	1.8%	1.7%	5.11	4.71	—
2024	19	MIX MLE	2 levels	20	4	37	176	55	29	2	20%	1.9	22.0%	20.2%	1.8%	1.7%	5.11	4.71	—
2024	19	MIX RAW	2 levels	20	4	37	176	55	29	2	20%	1.9	31.2%	16.5%	14.8%	1.1%	5.11	3.18	—
2025	20	MIX MLE	2 levels	34	2	56	273	80	45	0	6%	1.6	21.9%	18.4%	3.5%	0.0%	5.50	3.58	—
2025	20	MIX MLE	2 levels	34	2	56	273	80	45	0	6%	1.6	21.9%	18.4%	3.5%	0.0%	5.50	3.58	—
2025	20	MIX RAW	2 levels	34	2	56	273	80	45	0	6%	1.6	29.3%	16.5%	12.8%	0.0%	5.50	2.65	—
2026	21	A+ MLE	Fort Wayne TinCaps	38	0	55	240	67	31	5	0%	1.4	21.5%	14.9%	6.6%	2.6%	4.25	4.60	—
2026	21	A+ MLE	Fort Wayne TinCaps	38	0	55	240	67	31	5	0%	1.4	21.5%	14.9%	6.6%	2.6%	4.25	4.60	—
2026	21	A+ RAW	Fort Wayne TinCaps	38	0	55	240	67	31	5	0%	1.4	27.9%	12.9%	15.0%	2.1%	4.25	3.54	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	SD	—	—	0	—	—	—	—	—	—	21.8%	18.1%	3.8%	2.8%	5.44	5.44	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	SD	50	0	52	222	50	35	6	0%	1.1	22.7%	15.6%	7.1%	2.7%	5.15	5.04	-0.3
2029	24	MLB MLE	SD	50	0	52	222	52	31	6	0%	1.1	23.3%	14.0%	9.3%	2.7%	4.90	4.78	-0.1
2028	23	MLB CTX	SD	25	0	26	110	25	17	3	0%	1.0	22.7%	15.6%	7.1%	2.7%	5.15	5.04	-0.1
2029	24	MLB CTX	SD	35	0	37	156	36	22	4	0%	1.1	23.3%	14.0%	9.3%	2.7%	4.90	4.78	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		60	0	63	265	61	39	7	0%	1.0	23.1%	14.6%	8.4%	2.7%	5.00	4.51	+0.0
/ 200 IP	—	RAW		190	0	200	844	195	125	22	0%	1.1	23.1%	14.6%	8.4%	2.7%	5.00	4.51	+0.1
Career	—	MLE		102	13	170	778	171	130	13	13%	1.7	22.0%	16.7%	5.3%	1.7%	4.81	4.27	-0.4
/ 200 IP	—	MLE		120	15	200	914	201	152	15	13%	1.7	22.0%	16.7%	5.3%	1.7%	4.81	4.27	-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 A+Fort Wayne TinCaps · 55 IPFIP 3.52 → 4.60 (+1.07)K% 27.9% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.92%	—	×0.770	21.50%
BB% (unintentional) /BF	12.92%	—	×1.150	14.85%
HR / BF /BF	2.08%	÷1.000	×1.250	2.60%

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 100).

Result: FIP 3.52 → 4.60, 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 ALake Elsinore Storm · 52 IPFIP 2.58 → 3.58 (+1.01)K% 29.6% → 21.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.60%	—	×0.740	21.90%
BB% (unintentional) /BF	15.60%	—	×1.180	18.41%
HR / BF /BF	0.00%	÷0.936	×1.300	0.00%

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 87).

Result: FIP 2.58 → 3.58, 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 A+Fort Wayne TinCaps · 4 IPFIP 4.20 → 5.20 (+1.00)K% 26.1% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.770	20.09%
BB% (unintentional) /BF	26.09%	—	×1.150	30.00%
HR / BF /BF	0.00%	÷0.941	×1.250	0.00%

Result: FIP 4.20 → 5.20, 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 ROKACL Padres · 25 IPFIP 3.06 → 4.62 (+1.55)K% 29.3% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.31%	—	×0.680	19.93%
BB% (unintentional) /BF	15.52%	—	×1.250	19.40%
HR / BF /BF	0.86%	÷0.892	×1.400	1.35%

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 78).

Result: FIP 3.06 → 4.62, 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).

2024 ALake Elsinore Storm · 12 IPFIP 3.38 → 4.90 (+1.52)K% 35.0% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.00%	—	×0.740	25.90%
BB% (unintentional) /BF	18.33%	—	×1.180	21.63%
HR / BF /BF	1.67%	÷0.953	×1.300	2.27%

Result: FIP 3.38 → 4.90, 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 Padres · 8 IPFIP 2.11 → 4.48 (+2.36)K% 43.3% → 29.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	43.33%	—	×0.680	29.47%
BB% (unintentional) /BF	6.67%	—	×1.250	8.33%
HR / BF /BF	3.33%	÷0.912	×1.400	5.12%

Result: FIP 2.11 → 4.48, 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 ROKDSL Padres · 15 IPFIP 4.32 → 5.94 (+1.63)K% 20.3% → 13.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.34%	—	×0.680	13.83%
BB% (unintentional) /BF	8.47%	—	×1.250	10.59%
HR / BF /BF	3.39%	÷0.975	×1.400	4.87%

Result: FIP 4.32 → 5.94, 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
Braian Salazar (OGILVIE)	—	—	5.44	21.8%	18.1%	2.8%	—	4.91	23.0%	8.2%	105	-0.53	—	—	—
Jeff Belge L 2021 · 4.91 FIP	23	SU	4.91	24.0%	18.8%	2.7%	.343	3.68	24.2%	10.4%	131	-1.23	3.30	175	88
Joseph Menefee L 2023 · 4.50 FIP	23	SU	4.50	21.9%	18.5%	1.7%	.361	4.71	24.8%	6.0%	99	+0.21	3.22	146	85
Brendan Nail L 2019 · 4.88 FIP	23	SU	4.88	23.8%	16.4%	3.1%	.305	3.83	26.2%	15.2%	87	-1.05	3.45	165	85
Carlos Rey L 2024 · 4.47 FIP	22	SU	4.47	26.1%	22.0%	1.4%	.297	4.30	25.5%	5.4%	108	-0.17	3.90	165	84
Dillon Larsen L 2022 · 5.90 FIP	24	SU	5.90	21.7%	21.6%	3.5%	.277	4.65	18.0%	-4.1%	91	-1.25	4.04	120	84
Angel Hernandez L 2022 · 5.53 FIP	22	SU	5.53	23.4%	21.0%	3.2%	.262	4.36	21.2%	1.6%	123	-1.17	3.33	182	84
Julian Bosnic L 2023 · 5.72 FIP	23	SU	5.72	22.5%	21.0%	3.4%	.206	4.74	19.1%	-0.1%	90	-0.98	4.31	136	84
Christian Chamberlain L 2022 · 6.42 FIP	23	SU	6.42	23.4%	21.7%	4.6%	.330	4.12	24.1%	5.4%	99	-2.30	3.91	148	83
Ty Madrigal L 2021 · 4.56 FIP	24	SU	4.56	19.3%	15.7%	2.0%	.329	5.75	17.6%	2.4%	49	+1.19	4.56	107	83
Jackson Lancaster L 2023 · 5.14 FIP	24	SU	5.14	18.9%	17.6%	2.6%	.315	5.15	19.7%	6.8%	122	+0.01	4.15	142	83
Armando Vasquez L 2023 · 5.15 FIP	22	SU	5.15	21.5%	18.0%	2.9%	.312	6.10	20.8%	2.7%	36	+0.95	4.22	131	83
Kyle Dohy L 2019 · 4.42 FIP	22	SU	4.42	25.4%	19.7%	1.8%	.361	3.28	28.3%	14.8%	54	-1.14	2.69	167	82
Gil Luna L 2023 · 5.37 FIP	24	SU	5.37	22.5%	24.5%	1.9%	.303	4.95	19.7%	-6.0%	73	-0.42	4.57	113	82
Trevor Seidenberger L 2015 · 4.64 FIP	23	SU	4.64	18.1%	14.3%	2.3%	.248	6.29	13.1%	-1.8%	52	+1.65	4.64	101	81
Ramon Perez L 2021 · 4.98 FIP	22	SU	4.98	19.9%	17.9%	2.4%	.290	3.08	28.9%	14.2%	31	-1.90	3.08	199	81
Austin Hamilton L 2017 · 4.92 FIP	23	SU	4.92	17.0%	15.6%	2.3%	.329	4.20	16.3%	8.9%	109	-0.72	4.02	135	80
Triston Polley L 2021 · 4.88 FIP	24	SU	4.88	22.3%	20.0%	2.1%	.361	4.77	18.5%	5.2%	136	-0.11	4.15	151	80
Felix Polanco L 2022 · 5.19 FIP	22	SU	5.19	18.7%	19.9%	2.1%	.290	3.68	18.8%	12.8%	27	-1.51	3.68	105	80
Rio Britton L 2024 · 4.28 FIP	21	SU	4.28	19.2%	13.5%	2.0%	.354	5.03	22.4%	7.1%	98	+0.75	4.28	166	79
Renyel Pinto L 2006 · 4.60 FIP	24	SU	4.60	26.7%	20.0%	2.2%	.246	4.42	21.2%	7.6%	185	-0.18	3.58	231	79

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	0.8	52	22.6%	15.9%	1.06	5.16
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*