Jeferson Figueroa

P Wisconsin Timber Rattlers

Age 26 RHP 6'0" / 180 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	ACarolina Mudc…	27	1	45	2.80	4.21	26.6%	15.1%	—	K 19.7% · BB 17.8% · FIP 5.43
2024	23	MIX2 levels	32	2	66	3.00	3.60	29.4%	12.5%	—	K 22.1% · BB 14.6% · FIP 4.77
2025	24	A+MIL	26	0	42	5.53	6.64	16.1%	20.6%	—	K 12.4% · BB 23.7% · FIP 6.99
2026	25	No MLB games played
2027PROJ	26	MLBMIL	—	—	0	6.51	6.51	13.9%	20.0%	—
2028PROJ37% MLB	27	MLBMIL	14	0	15	6.31	6.33	14.8%	19.0%	-0.3
2029PROJ59% MLB	28	MLBMIL	20	0	21	6.22	6.26	15.3%	18.4%	-0.4

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control20Command20

CompsMike Hepple (age 26) · Hunter Dollander (age 26) · Jesús Reyes (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 157149vR 141

ERA6.51

FIP6.51

K%13.9%

BB%20.0%

K-BB%-6.1%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL2020

CMD2020

K†3030

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	20	MIX MLE	2 levels	9	7	29	125	35	14	3	78%	3.2	17.1%	15.6%	1.5%	2.9%	3.41	5.24	—
2021	20	MIX RAW	2 levels	9	7	29	125	35	14	3	78%	3.2	28.0%	11.2%	16.8%	2.4%	3.41	3.48	—
2022	21	A MLE	Carolina Mudcats	21	12	77	351	94	42	10	57%	3.7	19.8%	14.1%	5.7%	3.3%	6.81	5.00	—
2022	21	A RAW	Carolina Mudcats	21	12	77	351	94	42	10	57%	3.7	26.8%	12.0%	14.8%	2.8%	6.81	3.99	—
2023	22	A MLE	Carolina Mudcats	27	1	45	192	51	29	5	4%	1.7	19.7%	17.8%	1.8%	3.2%	2.80	5.43	—
2023	22	A RAW	Carolina Mudcats	27	1	45	192	51	29	5	4%	1.7	26.6%	15.1%	11.5%	2.6%	2.80	4.21	—
2024	23	MIX MLE	2 levels	32	2	66	272	80	34	7	6%	2.1	22.1%	14.6%	7.5%	3.1%	3.00	4.77	—
2024	23	MIX MLE	2 levels	32	2	66	272	80	34	7	6%	2.1	22.1%	14.6%	7.5%	3.1%	3.00	4.77	—
2024	23	MIX RAW	2 levels	32	2	66	272	80	34	7	6%	2.1	29.4%	12.5%	16.9%	2.6%	3.00	3.60	—
2025	24	A+ MLE	Wisconsin Timber Rattlers	26	0	42	199	32	41	7	0%	1.6	12.4%	23.7%	-11.3%	3.5%	5.53	6.99	—
2025	24	A+ MLE	Wisconsin Timber Rattlers	26	0	42	199	32	41	7	0%	1.6	12.4%	23.7%	-11.3%	3.5%	5.53	6.99	—
2025	24	A+ RAW	Wisconsin Timber Rattlers	26	0	42	199	32	41	7	0%	1.6	16.1%	20.6%	-4.5%	3.5%	5.53	6.64	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	MIL	—	—	0	—	—	—	—	—	—	13.9%	20.0%	-6.1%	3.0%	6.51	6.51	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	MIL	40	0	42	177	26	34	5	0%	1.1	14.8%	19.0%	-4.2%	3.1%	6.31	6.33	-0.8
2029	28	MLB MLE	MIL	33	0	35	148	23	27	5	0%	1.1	15.3%	18.4%	-3.1%	3.2%	6.22	6.26	-0.6
2028	27	MLB CTX	MIL	14	0	15	63	9	12	2	0%	1.1	14.8%	19.0%	-4.2%	3.1%	6.31	6.33	-0.3
2029	28	MLB CTX	MIL	20	0	21	89	14	16	3	0%	1.1	15.3%	18.4%	-3.1%	3.2%	6.22	6.26	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		34	0	36	152	23	28	5	0%	1.1	15.1%	18.7%	-3.6%	3.1%	6.26	5.91	-0.6
/ 200 IP	—	RAW		190	0	200	844	128	155	28	0%	1.1	15.1%	18.7%	-3.6%	3.1%	6.26	5.91	-3.2
Career	—	MLE		115	22	259	1139	213	190	37	19%	2.3	18.7%	16.7%	2.0%	3.2%	4.55	5.39	-1.5
/ 200 IP	—	MLE		89	17	200	880	165	147	28	19%	2.3	18.7%	16.7%	2.0%	3.2%	4.55	5.39	-4.0

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.

2025 A+Wisconsin Timber Rattlers · 42 IPFIP 6.28 → 6.99 (+0.71)K% 16.1% → 12.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.08%	—	×0.770	12.38%
BB% (unintentional) /BF	20.60%	—	×1.150	23.69%
HR / BF /BF	3.52%	÷1.246	×1.250	3.53%

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 149).

Result: FIP 6.28 → 6.99, 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).

2024 ACarolina Mudcats · 40 IPFIP 3.95 → 5.25 (+1.30)K% 30.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.740	22.77%
BB% (unintentional) /BF	11.83%	—	×1.180	13.96%
HR / BF /BF	3.55%	÷1.101	×1.300	4.19%

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 120).

Result: FIP 3.95 → 5.25, 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+Wisconsin Timber Rattlers · 26 IPFIP 3.06 → 3.99 (+0.93)K% 27.2% → 20.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.18%	—	×0.770	20.93%
BB% (unintentional) /BF	13.59%	—	×1.150	15.63%
HR / BF /BF	0.97%	÷0.979	×1.250	1.24%

Result: FIP 3.06 → 3.99, 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).

2023 ACarolina Mudcats · 45 IPFIP 4.20 → 5.43 (+1.23)K% 26.6% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.56%	—	×0.740	19.66%
BB% (unintentional) /BF	15.10%	—	×1.180	17.82%
HR / BF /BF	2.60%	÷1.072	×1.300	3.16%

Result: FIP 4.20 → 5.43, 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 ACarolina Mudcats · 77 IPFIP 3.92 → 5.00 (+1.09)K% 26.8% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.78%	—	×0.740	19.82%
BB% (unintentional) /BF	11.97%	—	×1.180	14.12%
HR / BF /BF	2.85%	÷1.136	×1.300	3.26%

Result: FIP 3.92 → 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).

2021 ACarolina Mudcats · 19 IPFIP 4.03 → 5.24 (+1.21)K% 23.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.08%	—	×0.740	17.08%
BB% (unintentional) /BF	13.19%	—	×1.180	15.56%
HR / BF /BF	2.20%	÷0.974	×1.300	2.93%

Result: FIP 4.03 → 5.24, 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 ROKACL Brewers Blue · 10 IPFIP 1.98 → 4.05 (+2.07)K% 41.2% → 28.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	41.18%	—	×0.680	28.00%
BB% (unintentional) /BF	5.88%	—	×1.250	7.35%
HR / BF /BF	2.94%	÷0.948	×1.400	4.34%

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 90).

Result: FIP 1.98 → 4.05, 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
Jeferson Figueroa (OGILVIE)	—	—	6.51	13.9%	20.0%	3.0%	—	6.30	15.0%	-3.7%	77	-0.21	—	—	—
Mike Hepple R 2016 · 5.75 FIP	26	SU	5.75	11.1%	18.5%	2.3%	.271	—	—	—	—	—	4.46	116	80
Hunter Dollander R 2023 · 6.77 FIP	26	SU	6.77	17.6%	18.3%	5.2%	.329	—	—	—	—	—	3.92	106	78
Jesús Reyes R 2019 · 5.71 FIP	26	SU	5.71	15.9%	15.7%	3.6%	.283	5.11	17.5%	5.6%	118	-0.60	3.85	554	78
Blake Hickman R 2018 · 6.57 FIP	24	SW	6.57	12.9%	17.8%	4.2%	.312	—	—	—	—	—	4.19	156	78
Jeff Soptic R 2016 · 5.52 FIP	25	SU	5.52	13.6%	15.3%	3.0%	.326	—	—	—	—	—	5.30	124	77
Ricky Salinas R 2022 · 5.79 FIP	26	SU	5.79	14.3%	15.1%	3.6%	.286	—	—	—	—	—	4.77	274	77
Vanny Valenzuela R 2015 · 6.82 FIP	27	SW	6.82	12.4%	14.8%	5.3%	.314	4.29	15.8%	4.6%	70	-2.53	3.26	118	77
Clate Schmidt R 2019 · 5.66 FIP	25	SU	5.66	13.5%	13.9%	3.5%	.290	—	—	—	—	—	3.51	160	77
Alex Caldera R 2015 · 5.57 FIP	29	SW	5.57	10.4%	13.1%	3.1%	.333	4.54	11.9%	0.8%	84	-1.03	4.54	120	75
Tommy DeJuneas R 2021 · 5.65 FIP	25	SU	5.65	13.7%	17.6%	2.7%	.277	—	—	—	—	—	3.93	178	74
Cre Finfrock R 2022 · 6.31 FIP	26	SU	6.31	16.7%	25.2%	2.6%	.309	—	—	—	—	—	4.27	103	74
Jake Haberer R 2021 · 6.54 FIP	26	SU	6.54	13.4%	17.5%	4.3%	.287	5.15	19.6%	4.0%	106	-1.39	3.46	183	74
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	73
Tom Reisinger R 2024 · 5.44 FIP	23	SW	5.44	12.1%	14.6%	2.8%	.381	6.49	10.3%	-5.6%	47	+1.05	5.44	110	73
Leandro Linares R 2018 · 5.49 FIP	24	SU	5.49	16.2%	22.0%	1.8%	.353	—	—	—	—	—	1.93	134	73
Wandi Montout R 2022 · 5.59 FIP	25	SU	5.59	13.4%	18.7%	2.3%	.273	—	—	—	—	—	3.16	103	73
Roman Phansalkar R 2024 · 5.39 FIP	26	SU	5.39	15.8%	13.2%	3.6%	.294	4.33	18.2%	3.7%	31	-1.06	4.33	164	72
Brady Schanuel R 2022 · 5.51 FIP	25	SW	5.51	17.9%	23.5%	1.7%	.200	—	—	—	—	—	3.91	132	71
Ted Stuka R 2023 · 7.45 FIP	26	SU	7.45	15.2%	36.8%	1.8%	.250	—	—	—	—	—	5.36	105	71
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	71

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	0.7	46	14.5%	19.3%	1.19	6.37
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Lloyd Allen ('69-'75, -5 WAR*)	1.5	59	19.8%*	13.9%*	0.79*	5.99*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*