Didier Fuentes

P Atlanta Braves

Age 22 RHP 6'0" / 170 lbs MLB Svc 1.0 · Ctrl thru 2031 peak 1.0 · 2029

Overview

MLBRP40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	AATL	18	17	76	2.74	2.72	32.1%	6.9%	—	K 23.8% · BB 8.1% · FIP 3.97
2025	20	MIX4 levels	17	17	70	6.30	3.53	27.0%	7.2%	1.6	K 22.9% · BB 7.5% · FIP 4.04
2026	21	MIX2 levels	61	4	90	2.40	2.46	31.1%	6.9%	2.3	K 30.3% · BB 6.8% · FIP 2.48
2027PROJ	22	MLBATL	46	0	48	3.70	3.46	29.0%	6.5%	0.6
2028PROJ88% MLB	23	MLBATL	68	0	71	3.56	3.41	29.0%	6.3%	1.0
2029PROJ91% MLB	24	MLBATL	71	0	75	3.48	3.38	29.0%	6.2%	1.1

Last 3 seasons WAR 3.9 · Next 3 projected WAR 2.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.029First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$4M2031Arb-3$7M

Skills · percentileStatcast 2026

FB Velo90

K%90

xwOBA vs88

Form2.22 ERA (proj 3.70) · K 33.9% (proj 29.0%) · BB 5.5% (proj 6.5%) ▲ last 90d · 28 IP through Oct 27

CompsKevin Gausman (age 22) · Jeremiah Estrada (age 22) · Brandon Workman (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 9284vR 76

ERA3.70

FIP3.46

K%29.0%

BB%6.5%

K-BB%22.5%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$25M ctrl surplus

Statcast · Contract

Statcast Percentiles

FB Velo

p9097.3

Whiff%

p8330.4%

p9031.0%

xwOBA vs

p880.275

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2025

Service 1.029 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+0.6	$3M	+$2M
2028	Pre-Arb	$0.8M	+1.0	$7M	+$7M
2029	Arb-1	$2M	+1.1	$8M	+$6M
2030	Arb-2	$4M	+1.1	$7M	+$4M
2031	Arb-3	$7M	+1.2	$7M	+$3M
Totals		$15M		$32M	+$21M

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 Braves	11	11	44	173	50	10	2	100%	4.0	19.7%	7.2%	12.4%	1.8%	2.25	3.36	—
2022	17	ROK RAW	DSL Braves	11	11	44	173	50	10	2	100%	4.0	28.9%	5.8%	23.1%	1.2%	2.25	2.10	—
2023	18	A MLE	Augusta GreenJackets	10	7	26	114	27	12	6	70%	2.6	17.5%	12.4%	5.1%	7.0%	7.27	7.04	—
2023	18	A RAW	Augusta GreenJackets	10	7	26	114	27	12	6	70%	2.6	23.7%	10.5%	13.2%	5.3%	7.27	5.41	—
2024	19	A MLE	Augusta GreenJackets	18	17	76	305	98	21	8	94%	4.2	23.8%	8.1%	15.7%	3.4%	2.74	3.97	—
2024	19	A MLE	Augusta GreenJackets	18	17	76	305	98	21	8	94%	4.2	23.8%	8.1%	15.7%	3.4%	2.74	3.97	—
2024	19	A RAW	Augusta GreenJackets	18	17	76	305	98	21	8	94%	4.2	32.1%	6.9%	25.2%	2.6%	2.74	2.72	—
2025	20	MIX MLE	4 levels	17	17	70	307	83	22	10	100%	4.1	22.9%	7.5%	15.4%	3.5%	6.30	4.04	+1.1
2025	20	MIX MLE	4 levels	17	17	70	307	83	22	10	100%	4.1	22.9%	7.5%	15.4%	3.5%	6.30	4.04	+1.1
2025	20	MIX RAW	4 levels	17	17	70	307	83	22	10	100%	4.1	27.0%	7.2%	19.9%	3.3%	6.30	3.53	+1.6
2026	21	MIX MLE	2 levels	61	4	90	360	112	25	7	7%	1.5	30.3%	6.8%	23.6%	2.0%	2.40	2.48	+2.3
2026	21	MIX MLE	2 levels	61	4	90	360	112	25	7	7%	1.5	30.3%	6.8%	23.6%	2.0%	2.40	2.48	+2.3
2026	21	MIX RAW	2 levels	61	4	90	360	112	25	7	7%	1.5	31.1%	6.9%	24.2%	1.9%	2.40	2.46	+2.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			62	5	86	366	104	25	12	8%	1.4	28.4%	6.8%	21.6%	3.3%	4.17	3.37	+1.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	ATL	46	0	48	203	59	13	6	0%	1.0	29.0%	6.5%	22.5%	2.9%	3.70	3.46	+0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	ATL	76	0	80	339	98	21	10	0%	1.1	29.0%	6.3%	22.7%	2.9%	3.56	3.41	+1.1
2029	24	MLB MLE	ATL	78	0	82	348	101	22	10	0%	1.1	29.0%	6.2%	22.8%	2.9%	3.48	3.38	+1.2
2030	25	MLB MLE	ATL	80	0	84	353	103	22	10	0%	1.0	29.0%	6.2%	22.9%	2.8%	3.43	3.37	+1.2
2031	26	MLB MLE	ATL	83	0	87	369	107	23	11	0%	1.1	29.1%	6.2%	22.9%	2.9%	3.40	3.37	+1.3
2032	27	MLB MLE	ATL	83	0	87	369	107	23	11	0%	1.1	29.1%	6.2%	22.8%	2.9%	3.40	3.41	+1.2
2033	28	MLB MLE	ATL	81	0	85	358	104	23	11	0%	1.0	28.9%	6.4%	22.6%	3.0%	3.45	3.49	+1.1
2034	29	MLB MLE	ATL	72	0	75	318	90	21	10	0%	1.0	28.3%	6.6%	21.7%	3.1%	3.57	3.65	+0.8
2035	30	MLB MLE	ATL	60	0	63	266	74	18	9	0%	1.1	27.7%	6.9%	20.8%	3.4%	3.74	3.86	+0.5
2036	31	MLB MLE	ATL	47	0	50	210	56	15	8	0%	1.1	26.9%	7.2%	19.7%	3.6%	3.95	4.09	+0.3
2037	32	MLB MLE	ATL	34	0	36	153	40	12	6	0%	1.1	26.1%	7.6%	18.4%	3.8%	4.19	4.34	+0.1
2028	23	MLB CTX	ATL	68	0	71	300	87	19	9	0%	1.0	29.0%	6.3%	22.7%	2.9%	3.56	3.41	+1.0
2029	24	MLB CTX	ATL	71	0	75	317	92	20	9	0%	1.1	29.0%	6.2%	22.8%	2.9%	3.48	3.38	+1.1
2030	25	MLB CTX	ATL	74	0	78	329	96	20	9	0%	1.1	29.0%	6.2%	22.9%	2.8%	3.43	3.37	+1.1
2031	26	MLB CTX	ATL	79	0	83	350	102	22	10	0%	1.1	29.1%	6.2%	22.9%	2.9%	3.40	3.37	+1.2
2032	27	MLB CTX	ATL	79	0	83	350	102	22	10	0%	1.1	29.1%	6.2%	22.8%	2.9%	3.40	3.41	+1.2
2033	28	MLB CTX	ATL	77	0	81	342	99	22	10	0%	1.1	28.9%	6.4%	22.6%	3.0%	3.45	3.49	+1.1
2034	29	MLB CTX	ATL	69	0	72	304	86	20	10	0%	1.0	28.3%	6.6%	21.7%	3.1%	3.57	3.65	+0.8
2035	30	MLB CTX	ATL	57	0	60	253	70	17	8	0%	1.1	27.7%	6.9%	20.8%	3.4%	3.74	3.86	+0.5
2036	31	MLB CTX	ATL	45	0	47	198	53	14	7	0%	1.0	26.9%	7.2%	19.7%	3.6%	3.95	4.09	+0.3
2037	32	MLB CTX	ATL	32	0	34	144	37	11	5	0%	1.1	26.1%	7.6%	18.4%	3.8%	4.19	4.34	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		713	5	770	3252	928	212	100	1%	1.1	28.5%	6.5%	22.0%	3.1%	3.63	3.20	+12.3
/ 200 IP	—	RAW		185	1	200	845	241	55	26	1%	1.1	28.5%	6.5%	22.0%	3.1%	3.63	3.20	+3.2
Career	—	MLE		117	56	306	1259	306	99	39	48%	2.6	24.3%	7.9%	16.4%	3.1%	3.77	3.75	+9.9
/ 200 IP	—	MLE		77	37	200	824	200	65	26	48%	2.6	24.3%	7.9%	16.4%	3.1%	3.77	3.75	+2.4

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 AAAGwinnett Stripers · 17 IPFIP 2.50 → 2.84 (+0.34)K% 31.7% → 27.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.75%	—	×0.860	27.30%
BB% (unintentional) /BF	9.52%	—	×0.900	8.57%
HR / BF /BF	1.59%	÷1.000	×1.100	1.75%

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 2.50 → 2.84, 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 AAColumbus Clingstones · 22 IPFIP 2.48 → 3.14 (+0.66)K% 25.0% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.810	20.25%
BB% (unintentional) /BF	7.29%	—	×1.100	8.02%
HR / BF /BF	1.04%	÷0.934	×1.200	1.34%

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 87).

Result: FIP 2.48 → 3.14, 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 AAAGwinnett Stripers · 22 IPFIP 2.77 → 3.36 (+0.59)K% 32.6% → 28.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.58%	—	×0.860	28.02%
BB% (unintentional) /BF	4.49%	—	×0.900	4.04%
HR / BF /BF	3.37%	÷0.961	×1.100	3.86%

Result: FIP 2.77 → 3.36, 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+Rome Emperors · 13 IPFIP 1.43 → 2.27 (+0.84)K% 34.0% → 26.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.96%	—	×0.770	26.15%
BB% (unintentional) /BF	9.43%	—	×1.150	10.85%
HR / BF /BF	0.00%	÷0.819	×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 64).

Result: FIP 1.43 → 2.27, 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 AAugusta GreenJackets · 76 IPFIP 2.70 → 3.97 (+1.28)K% 32.1% → 23.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.13%	—	×0.740	23.78%
BB% (unintentional) /BF	6.89%	—	×1.180	8.12%
HR / BF /BF	2.62%	÷1.010	×1.300	3.37%

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 102).

Result: FIP 2.70 → 3.97, 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 AAugusta GreenJackets · 26 IPFIP 5.32 → 7.04 (+1.72)K% 23.7% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.68%	—	×0.740	17.53%
BB% (unintentional) /BF	10.53%	—	×1.180	12.42%
HR / BF /BF	5.26%	÷0.976	×1.300	7.01%

Result: FIP 5.32 → 7.04, 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 Braves · 44 IPFIP 2.03 → 3.36 (+1.33)K% 28.9% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.90%	—	×0.680	19.65%
BB% (unintentional) /BF	5.78%	—	×1.250	7.23%
HR / BF /BF	1.16%	÷0.885	×1.400	1.83%

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 77).

Result: FIP 2.03 → 3.36, 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
Didier Fuentes (OGILVIE)	—	—	—	—	—	2.9%	—	3.39	29.0%	22.8%	246	-0.07	—	—	—
Kevin Gausman R 2013 · 3.71 FIP	22	SW	3.71	24.4%	5.5%	3.6%	.323	3.67	21.5%	14.7%	419	-0.04	2.34	2,103	76
Jeremiah Estrada R 2021 · 3.08 FIP	22	SW	3.08	30.2%	7.6%	2.9%	.340	3.43	32.2%	20.2%	143	+0.35	1.91	270	71
Brandon Workman R 2013 · 3.44 FIP	24	SU	3.44	26.1%	7.8%	2.9%	.342	4.66	17.4%	7.4%	97	+1.22	2.04	398	67
Daniel Bies R 2018 · 3.96 FIP	22	SW	3.96	24.5%	6.8%	3.8%	.339	3.17	20.3%	11.0%	89	-0.79	3.17	115	65
Corey Knebel R 2015 · 3.52 FIP	23	SU	3.52	28.2%	8.1%	3.2%	.301	2.49	37.5%	27.1%	164	-1.03	2.11	323	64
Ryan Watson R 2021 · 3.11 FIP	23	SW	3.11	21.9%	6.8%	1.8%	.324	4.48	19.6%	10.9%	229	+1.37	3.11	416	64
Joshua Loeschorn R 2023 · 3.86 FIP	23	SU	3.86	24.5%	7.7%	3.4%	.272	4.43	17.1%	8.4%	83	+0.57	3.08	151	64
Orion Kerkering R 2023 · 3.34 FIP	22	SU	3.34	28.3%	7.4%	3.1%	.301	2.93	25.6%	16.4%	181	-0.41	1.90	223	64
Connor Brogdon R 2018 · 2.98 FIP	23	SW	2.98	21.0%	6.8%	1.5%	.311	3.57	26.1%	18.1%	134	+0.59	2.98	402	64
Keone Kela R 2015 · 2.54 FIP	22	SU	2.54	28.0%	7.4%	1.6%	.314	3.25	31.6%	21.9%	125	+0.71	2.54	246	63
Ryan Lobus R 2024 · 3.68 FIP	23	SP-	3.68	27.0%	7.2%	3.5%	.277	3.65	22.1%	13.2%	128	-0.03	3.59	216	62
Duncan Davitt R 2023 · 4.55 FIP	23	SW	4.55	20.4%	8.7%	3.8%	.296	4.21	19.9%	12.1%	358	-0.34	4.06	438	62
Zach Brzykcy R 2021 · 4.59 FIP	22	SU	4.59	24.9%	10.4%	4.2%	.318	3.43	30.1%	18.0%	73	-1.16	3.33	239	62
William Fleming R 2021 · 4.12 FIP	22	SW	4.12	22.6%	4.9%	4.2%	.267	5.08	13.2%	4.0%	334	+0.96	4.02	449	62
Shane Smith R 2023 · 3.52 FIP	23	SU	3.52	28.1%	10.4%	2.7%	.259	3.58	22.9%	13.1%	287	+0.06	3.01	345	62
Joba Chamberlain R 2008 · 2.46 FIP	22	SW	2.46	28.3%	8.6%	1.2%	.318	3.89	20.9%	12.0%	258	+1.43	1.38	567	61
Sauryn Lao R 2023 · 3.31 FIP	23	SU	3.31	23.8%	5.2%	2.9%	.367	3.23	20.6%	13.4%	128	-0.08	3.08	182	61
Kyle Virbitsky R 2021 · 2.91 FIP	22	SW	2.91	24.2%	6.6%	1.9%	.450	4.40	19.8%	11.6%	287	+1.49	2.91	318	61
Matt Jachec R 2024 · 3.29 FIP	23	SU	3.29	25.8%	6.8%	2.7%	.347	3.69	21.8%	12.8%	50	+0.40	3.29	122	61
Kevin Ginkel R 2018 · 2.50 FIP	24	SU	2.50	30.0%	5.0%	2.4%	.277	4.05	30.3%	19.4%	102	+1.55	2.37	461	61

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	4.4	73	28.6%	6.6%	1.18	3.63
Bruce Sutter ('76-'88, 22 WAR*)	5.2	95	28.5%*	7.3%*	1.12*	3.14*
Joe Sambito ('76-'87, 8 WAR*)	3.1	70	26.8%*	7.5%*	1.06*	3.65*
Willie Hernandez ('77-'89, 16 WAR*)	5.2	87	25.3%*	8.0%*	1.16*	3.58*
Jake McGee ('22)	2.9	48	26.0%	6.6%	1.10	3.71
Giovanny Gallegos ('24)	1.7	56	29.6%	6.6%	1.18	3.49
Chad Green ('25)	2.5	62	30.0%	6.4%	1.42	3.43