Gerardo Salas

P Peoria Chiefs

Age 24 RHP 6'0" / 189 lbs A+ peak 0.4 · 2029

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	22	A+STL	25	19	97	8.10	4.47	20.3%	8.8%	—	K 15.6% · BB 10.1% · FIP 5.76
2026	23	A+STL	38	0	63	5.17	4.82	22.1%	8.9%	—	K 17.0% · BB 10.2% · FIP 5.99
2027PROJ	24	MLBSTL	—	—	0	5.55	5.55	15.2%	10.7%	—
2028PROJ43% MLB	25	MLBSTL	28	0	29	5.36	5.32	16.6%	10.2%	-0.2
2029PROJ66% MLB	26	MLBSTL	39	0	41	5.24	5.20	17.4%	10.0%	-0.3

Next 3 projected WAR -0.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control45Command40

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsHunter Adkins (age 25) · Paulshawn Pasqualotto (age 23) · Dennis O'Grady (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 139130vR 122

ERA5.55

FIP5.55

K%15.2%

BB%10.7%

K-BB%4.5%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4545

CMD4040

K†3045

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)
2021	18	ROK MLE	DSL Cardinals Blue	12	5	19	73	17	3	1	42%	1.6	15.8%	5.1%	10.7%	1.9%	2.89	3.44	—
2021	18	ROK RAW	DSL Cardinals Blue	12	5	19	73	17	3	1	42%	1.6	23.3%	4.1%	19.2%	1.4%	2.89	2.46	—
2022	19	ROK MLE	DSL Cardinals	11	10	47	185	48	8	4	91%	4.3	17.6%	5.4%	12.2%	2.9%	3.61	3.89	—
2022	19	ROK RAW	DSL Cardinals	11	10	47	185	48	8	4	91%	4.3	25.9%	4.3%	21.6%	2.2%	3.61	2.68	—
2023	20	MIX MLE	2 levels	14	12	58	259	52	22	6	86%	4.1	14.0%	10.5%	3.5%	3.2%	4.19	5.00	—
2023	20	MIX RAW	2 levels	14	12	58	259	52	22	6	86%	4.1	20.1%	8.5%	11.6%	2.3%	4.19	3.79	—
2024	21	A MLE	Palm Beach Cardinals	22	22	113	454	119	25	9	100%	5.2	19.4%	6.5%	12.9%	2.5%	2.62	3.65	—
2024	21	A MLE	Palm Beach Cardinals	22	22	113	454	119	25	9	100%	5.2	19.4%	6.5%	12.9%	2.5%	2.62	3.65	—
2024	21	A RAW	Palm Beach Cardinals	22	22	113	454	119	25	9	100%	5.2	26.2%	5.5%	20.7%	2.0%	2.62	2.69	—
2025	22	A+ MLE	Peoria Chiefs	25	19	97	444	90	39	15	76%	3.9	15.6%	10.1%	5.5%	4.9%	8.10	5.76	—
2025	22	A+ MLE	Peoria Chiefs	25	19	97	444	90	39	15	76%	3.9	15.6%	10.1%	5.5%	4.9%	8.10	5.76	—
2025	22	A+ RAW	Peoria Chiefs	25	19	97	444	90	39	15	76%	3.9	20.3%	8.8%	11.5%	3.4%	8.10	4.47	—
2026	23	A+ MLE	Peoria Chiefs	38	0	63	271	60	24	12	0%	1.6	17.0%	10.2%	6.9%	5.5%	5.17	5.99	—
2026	23	A+ MLE	Peoria Chiefs	38	0	63	271	60	24	12	0%	1.6	17.0%	10.2%	6.9%	5.5%	5.17	5.99	—
2026	23	A+ RAW	Peoria Chiefs	38	0	63	271	60	24	12	0%	1.6	22.1%	8.9%	13.3%	4.4%	5.17	4.82	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	STL	—	—	0	—	—	—	—	—	—	15.2%	10.7%	4.5%	3.6%	5.55	5.55	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	STL	64	0	67	284	47	29	10	0%	1.1	16.6%	10.2%	6.4%	3.6%	5.36	5.32	-0.6
2029	26	MLB MLE	STL	58	0	61	259	45	26	9	0%	1.1	17.4%	10.0%	7.4%	3.5%	5.24	5.20	-0.4
2030	27	MLB MLE	STL	55	0	58	246	43	24	9	0%	1.1	17.6%	10.0%	7.7%	3.5%	5.20	5.20	-0.4
2031	28	MLB MLE	STL	52	0	55	232	41	23	8	0%	1.1	17.6%	10.0%	7.6%	3.6%	5.22	5.26	-0.4
2032	29	MLB MLE	STL	48	0	51	215	37	22	8	0%	1.1	17.4%	10.3%	7.1%	3.8%	5.32	5.39	-0.5
2033	30	MLB MLE	STL	48	0	50	211	40	21	8	0%	1.0	19.0%	9.8%	9.3%	4.0%	5.30	5.29	-0.4
2028	25	MLB CTX	STL	28	0	29	122	20	13	4	0%	1.0	16.6%	10.2%	6.4%	3.6%	5.36	5.32	-0.2
2029	26	MLB CTX	STL	39	0	41	173	30	17	6	0%	1.1	17.4%	10.0%	7.4%	3.5%	5.24	5.20	-0.3
2030	27	MLB CTX	STL	43	0	45	190	33	19	7	0%	1.0	17.6%	10.0%	7.7%	3.5%	5.20	5.20	-0.3
2031	28	MLB CTX	STL	44	0	46	194	34	19	7	0%	1.0	17.6%	10.0%	7.6%	3.6%	5.22	5.26	-0.4
2032	29	MLB CTX	STL	43	0	45	190	33	20	7	0%	1.0	17.4%	10.3%	7.1%	3.8%	5.32	5.39	-0.4
2033	30	MLB CTX	STL	43	0	45	190	36	19	8	0%	1.0	19.0%	9.8%	9.3%	4.0%	5.30	5.29	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		238	0	250	1057	187	106	39	0%	1.1	17.7%	10.0%	7.6%	3.7%	5.27	4.89	-1.0
/ 200 IP	—	RAW		190	0	200	844	149	85	31	0%	1.1	17.7%	10.0%	7.6%	3.7%	5.27	4.89	-0.8
Career	—	MLE		122	68	397	1686	284	143	63	56%	3.3	16.8%	8.5%	8.4%	3.7%	4.72	4.81	+0.5
/ 200 IP	—	MLE		62	34	200	850	143	72	32	56%	3.3	16.8%	8.5%	8.4%	3.7%	4.72	4.81	+0.3

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+Peoria Chiefs · 63 IPFIP 4.78 → 5.99 (+1.21)K% 22.1% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.14%	—	×0.770	17.05%
BB% (unintentional) /BF	8.86%	—	×1.150	10.18%
HR / BF /BF	4.43%	÷1.000	×1.250	5.54%

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 4.78 → 5.99, 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+Peoria Chiefs · 97 IPFIP 4.36 → 5.76 (+1.41)K% 20.3% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.27%	—	×0.770	15.61%
BB% (unintentional) /BF	8.78%	—	×1.150	10.10%
HR / BF /BF	3.38%	÷0.857	×1.250	4.93%

Result: FIP 4.36 → 5.76, 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 APalm Beach Cardinals · 113 IPFIP 2.67 → 3.65 (+0.98)K% 26.2% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.21%	—	×0.740	19.40%
BB% (unintentional) /BF	5.51%	—	×1.180	6.50%
HR / BF /BF	1.98%	÷1.036	×1.300	2.49%

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 107).

Result: FIP 2.67 → 3.65, 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 ROKFCL Cardinals · 48 IPFIP 3.81 → 5.10 (+1.28)K% 18.8% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.84%	—	×0.680	12.81%
BB% (unintentional) /BF	7.73%	—	×1.250	9.66%
HR / BF /BF	2.42%	÷1.000	×1.400	3.38%

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 100).

Result: FIP 3.81 → 5.10, 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 APalm Beach Cardinals · 10 IPFIP 3.51 → 4.62 (+1.12)K% 25.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.740	18.50%
BB% (unintentional) /BF	11.54%	—	×1.180	13.62%
HR / BF /BF	1.92%	÷1.010	×1.300	2.48%

Result: FIP 3.51 → 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).

2022 ROKDSL Cardinals · 47 IPFIP 2.64 → 3.89 (+1.25)K% 25.9% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.95%	—	×0.680	17.64%
BB% (unintentional) /BF	4.32%	—	×1.250	5.41%
HR / BF /BF	2.16%	÷1.039	×1.400	2.91%

Result: FIP 2.64 → 3.89, 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).

2021 ROKDSL Cardinals Blue · 19 IPFIP 2.41 → 3.44 (+1.03)K% 23.3% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.29%	—	×0.680	15.84%
BB% (unintentional) /BF	4.11%	—	×1.250	5.14%
HR / BF /BF	1.37%	÷1.030	×1.400	1.86%

Result: FIP 2.41 → 3.44, 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).

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
Gerardo Salas (OGILVIE)	—	—	5.55	15.2%	10.7%	3.6%	—	5.24	17.2%	7.1%	187	-0.31	—	—	—
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	86
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	85
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	84
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	84
Tanner Burns R 2023 · 5.27 FIP	24	SW	5.27	19.4%	12.5%	4.0%	.257	4.95	18.3%	5.2%	131	-0.32	4.34	382	83
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	82
Sergio Mitre R 2005 · 5.18 FIP	24	SW	5.18	13.8%	7.8%	4.1%	.256	3.84	13.0%	6.6%	190	-1.34	3.55	602	82
Thomas Ponticelli R 2021 · 4.50 FIP	24	SW	4.50	17.2%	9.7%	3.0%	.264	5.25	15.1%	3.8%	163	+0.75	2.59	367	82
Chad Bettis R 2013 · 4.38 FIP	24	SP-	4.38	14.4%	8.7%	2.6%	.318	3.81	17.4%	10.4%	365	-0.57	3.67	672	82
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	82
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	81
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	81
Grant Ford R 2021 · 5.78 FIP	23	SW	5.78	20.1%	13.2%	4.9%	.300	4.61	19.0%	4.5%	112	-1.17	3.83	188	81
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Tyler Brashears R 2017 · 5.47 FIP	23	SW	5.47	12.1%	13.0%	3.2%	.314	—	—	—	—	—	3.58	156	80
Felipe Gonzalez R 2016 · 5.47 FIP	24	SP-	5.47	14.7%	10.6%	4.1%	.330	4.12	19.9%	10.4%	139	-1.35	3.27	339	80
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	80
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	80
Marco Camarena R 2016 · 4.49 FIP	25	SW	4.49	11.0%	9.3%	2.1%	.365	3.75	8.4%	0.9%	73	-0.74	3.75	142	79
Michael Matuella R 2018 · 5.53 FIP	24	SW	5.53	13.5%	9.6%	4.3%	.316	3.60	20.1%	2.8%	42	-1.93	3.60	169	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	2.0	59	17.2%	10.2%	1.41	5.32
Lance Painter ('03)	2.2	56	16.7%	9.0%	1.32	5.24
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Phil Hennigan ('69-'73, -0 WAR*)	1.4	70	20.9%*	10.4%*	1.50*	4.95*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*