Wilfredo Pereira

P Springfield Cardinals

Age 28 RHP 6'0" / 197 lbs AA peak 0.4 · 2027

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	23	A+STL	27	18	118	5.02	3.57	26.5%	6.4%	—	K 20.4% · BB 7.3% · FIP 4.46
2023	24	AASTL	26	24	138	4.97	4.44	17.6%	9.0%	—	K 14.3% · BB 9.9% · FIP 5.00
2024	25	MIX2 levels	30	8	88	5.40	4.24	20.8%	10.4%	—	K 16.6% · BB 11.6% · FIP 4.45
2025	26	No MLB games played
2026	27	No MLB games played
2027PROJ	28	MLBSTL	1	1	1	4.79	4.79	19.7%	10.6%	0.0
2028PROJ31% MLB	29	MLBSTL	2	2	17	4.82	4.87	19.8%	10.7%	0.1
2029PROJ51% MLB	30	MLBSTL	3	3	24	4.91	5.01	19.7%	10.9%	0.1

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

Contract

No contract data on file.

CompsFabio Castillo (age 28) · Dustin Nippert (age 28) · Nolan Sanburn (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.79

FIP4.79

K%19.7%

BB%10.6%

K-BB%9.1%

Proj IP61

Value2027 · WAR

Runs saved vs league avg · 61 IP

Grades · Contract

Scouting Grades

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)
2016	17	ROK MLE	DSL Cardinals	18	0	36	150	27	7	0	0%	2.0	12.2%	5.8%	6.4%	0.0%	2.27	2.81	—
2016	17	ROK RAW	DSL Cardinals	18	0	36	150	27	7	0	0%	2.0	18.0%	4.7%	13.3%	0.0%	2.27	2.17	—
2017	18	ROK MLE	DSL Cardinals	12	10	51	216	38	20	1	83%	4.3	12.0%	11.6%	0.4%	0.6%	3.16	3.91	—
2017	18	ROK RAW	DSL Cardinals	12	10	51	216	38	20	1	83%	4.3	17.6%	9.3%	8.3%	0.5%	3.16	3.04	—
2018	19	ROK MLE	GCL Cardinals	13	9	53	239	38	18	4	69%	4.1	10.8%	9.4%	1.4%	2.3%	4.72	4.67	—
2018	19	ROK RAW	GCL Cardinals	13	9	53	239	38	18	4	69%	4.1	15.9%	7.5%	8.4%	1.7%	4.72	3.66	—
2019	20	A MLE	Peoria Chiefs	7	0	26	101	28	6	0	0%	3.7	20.5%	7.0%	13.5%	0.0%	2.45	2.26	—
2019	20	A RAW	Peoria Chiefs	7	0	26	101	28	6	0	0%	3.7	27.7%	5.9%	21.8%	0.0%	2.45	1.62	—
2021	22	A+ MLE	Peoria Chiefs	29	13	97	408	115	40	9	45%	3.4	21.7%	11.3%	10.4%	2.6%	3.33	4.12	—
2021	22	A+ RAW	Peoria Chiefs	29	13	97	408	115	40	9	45%	3.4	28.2%	9.8%	18.4%	2.2%	3.33	3.17	—
2022	23	A+ MLE	Peoria Chiefs	27	18	118	486	129	31	17	67%	4.4	20.4%	7.3%	13.1%	3.9%	5.02	4.46	—
2022	23	A+ RAW	Peoria Chiefs	27	18	118	486	129	31	17	67%	4.4	26.5%	6.4%	20.2%	3.5%	5.02	3.57	—
2023	24	AA MLE	Springfield Cardinals	26	24	138	591	104	53	18	92%	5.3	14.3%	9.9%	4.4%	3.4%	4.97	5.00	—
2023	24	AA RAW	Springfield Cardinals	26	24	138	591	104	53	18	92%	5.3	17.6%	9.0%	8.6%	3.0%	4.97	4.44	—
2024	25	MIX MLE	2 levels	30	8	88	404	84	42	11	27%	2.9	16.6%	11.6%	5.1%	2.4%	5.40	4.45	—
2024	25	MIX MLE	2 levels	30	8	88	404	84	42	11	27%	2.9	16.6%	11.6%	5.1%	2.4%	5.40	4.45	—
2024	25	MIX RAW	2 levels	30	8	88	404	84	42	11	27%	2.9	20.8%	10.4%	10.4%	2.7%	5.40	4.24	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	STL	1	1	1	4	1	0	0	100%	1.0	19.7%	10.6%	9.1%	3.0%	4.79	4.79	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	STL	7	7	53	225	45	24	7	100%	7.6	19.8%	10.7%	9.1%	3.1%	4.82	4.87	+0.3
2029	30	MLB MLE	STL	6	6	47	197	39	21	7	100%	7.8	19.7%	10.9%	8.9%	3.3%	4.91	5.01	+0.2
2028	29	MLB CTX	STL	2	2	17	72	14	8	2	100%	8.5	19.8%	10.7%	9.1%	3.1%	4.82	4.87	+0.1
2029	30	MLB CTX	STL	3	3	24	101	20	11	3	100%	8.0	19.7%	10.9%	8.9%	3.3%	4.91	5.01	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		5	5	41	171	34	18	6	100%	8.1	19.8%	10.8%	9.0%	3.2%	4.87	4.57	+0.4
/ 200 IP	—	RAW		27	27	200	844	167	89	30	100%	7.4	19.8%	10.8%	9.0%	3.2%	4.87	4.57	+1.9
Career	—	MLE		162	82	608	2595	430	250	66	51%	3.8	16.6%	9.6%	6.9%	2.6%	4.34	4.32	+0.5
/ 200 IP	—	MLE		53	27	200	854	142	82	22	51%	3.8	16.6%	9.6%	6.9%	2.6%	4.34	4.32	+1.1

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.

2024 AASpringfield Cardinals · 69 IPFIP 4.58 → 4.77 (+0.19)K% 19.5% → 15.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.50%	—	×0.810	15.80%
BB% (unintentional) /BF	9.91%	—	×1.100	10.90%
HR / BF /BF	3.41%	÷1.386	×1.200	2.95%

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 177).

Result: FIP 4.58 → 4.77, 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+Peoria Chiefs · 20 IPFIP 2.47 → 3.21 (+0.74)K% 25.9% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.93%	—	×0.770	19.96%
BB% (unintentional) /BF	12.35%	—	×1.150	14.20%
HR / BF /BF	0.00%	÷0.993	×1.250	0.00%

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 99).

Result: FIP 2.47 → 3.21, 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 AASpringfield Cardinals · 138 IPFIP 4.42 → 5.00 (+0.58)K% 17.6% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.60%	—	×0.810	14.25%
BB% (unintentional) /BF	8.97%	—	×1.100	9.86%
HR / BF /BF	3.05%	÷1.080	×1.200	3.39%

Result: FIP 4.42 → 5.00, 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+Peoria Chiefs · 118 IPFIP 3.59 → 4.46 (+0.87)K% 26.5% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.54%	—	×0.770	20.44%
BB% (unintentional) /BF	6.38%	—	×1.150	7.34%
HR / BF /BF	3.50%	÷1.114	×1.250	3.92%

Result: FIP 3.59 → 4.46, 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 A+Peoria Chiefs · 97 IPFIP 3.17 → 4.12 (+0.95)K% 28.2% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.19%	—	×0.770	21.70%
BB% (unintentional) /BF	9.80%	—	×1.150	11.27%
HR / BF /BF	2.21%	÷1.063	×1.250	2.59%

Result: FIP 3.17 → 4.12, 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 APeoria Chiefs · 26 IPFIP 1.51 → 2.26 (+0.74)K% 27.7% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.72%	—	×0.740	20.51%
BB% (unintentional) /BF	5.94%	—	×1.180	7.01%
HR / BF /BF	0.00%	÷1.105	×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 121).

Result: FIP 1.51 → 2.26, 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 ROKGCL Cardinals · 53 IPFIP 3.63 → 4.67 (+1.04)K% 15.9% → 10.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.90%	—	×0.680	10.81%
BB% (unintentional) /BF	7.53%	—	×1.250	9.41%
HR / BF /BF	1.67%	÷1.000	×1.400	2.34%

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 3.63 → 4.67, 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).

2017 ROKDSL Cardinals · 51 IPFIP 3.04 → 3.91 (+0.87)K% 17.6% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.59%	—	×0.680	11.96%
BB% (unintentional) /BF	9.26%	—	×1.250	11.57%
HR / BF /BF	0.46%	÷1.000	×1.400	0.65%

Result: FIP 3.04 → 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).

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
Wilfredo Pereira (OGILVIE)	—	—	4.79	19.7%	10.6%	3.0%	—	4.94	19.8%	9.0%	100	+0.15	—	—	—
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	79
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	77
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	77
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	76
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	75
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	74
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	72
Mitch Neunborn R 2024 · 4.25 FIP	27	SP-	4.25	19.0%	12.0%	2.2%	.285	5.80	16.4%	6.5%	114	+1.55	3.65	248	72
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
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	72
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	72
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	72
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	71
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	71
Orlando Rodriguez R 2023 · 4.67 FIP	27	SW	4.67	13.7%	10.6%	2.5%	.252	—	—	—	—	—	4.40	119	71
Noah Davis R 2024 · 3.88 FIP	27	SW	3.88	18.5%	8.4%	2.3%	.368	5.10	18.3%	7.9%	183	+1.22	3.76	596	71
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	71
David Griffin R 2023 · 5.83 FIP	27	SP-	5.83	14.2%	9.2%	5.0%	.306	—	—	—	—	—	4.43	239	71
Patrick Johnson R 2016 · 3.82 FIP	27	SP-	3.82	17.3%	6.9%	2.4%	.286	4.14	15.7%	6.4%	120	+0.32	3.82	248	70
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	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	0.8	54	19.7%	10.7%	1.21	4.83
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*