Rolddy Muñoz

P Gwinnett Stripers

Age 27 RHP 6'2" / 183 lbs AAA peak 0.3 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	38	1	51	4.24	2.22	34.6%	10.1%	—	K 26.1% · BB 11.4% · FIP 3.18
2025	25	MIX3 levels	44	3	64	3.39	4.31	23.1%	13.7%	0.2	K 19.2% · BB 13.4% · FIP 4.77
2026	26	MIX3 levels	46	0	57	3.92	3.00	31.0%	11.4%	1.1	K 27.1% · BB 10.8% · FIP 3.25
2027PROJ	27	MLBATL	45	0	47	4.23	4.23	28.1%	13.4%	0.2
2028PROJ78% MLB	28	MLBATL	43	0	45	4.29	4.32	27.5%	13.1%	0.1
2029PROJ83% MLB	29	MLBATL	40	0	42	4.39	4.46	27.0%	13.0%	0.0

Last 3 seasons WAR 1.2 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.3 / P90 1.5, comp-based) · star 0% · didn't stick 93%

CompsPeyton Gray (age 26) · Jason Bulger (age 29) · Anthony Varvaro (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114105vR 97

ERA4.23

FIP4.23

K%28.1%

BB%13.4%

K-BB%14.8%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

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)
2019	19	ROK MLE	DSL Braves	8	0	9	43	9	7	0	0%	1.1	20.9%	16.3%	4.7%	0.0%	6.23	3.39	—
2019	19	ROK RAW	DSL Braves	8	0	9	43	9	7	0	0%	1.1	20.9%	16.3%	4.7%	0.0%	6.23	3.45	—
2021	21	MIX MLE	2 levels	16	2	35	160	48	17	3	12%	2.2	21.4%	13.7%	7.8%	2.4%	5.40	4.32	—
2021	21	MIX RAW	2 levels	16	2	35	160	48	17	3	12%	2.2	30.0%	10.6%	19.4%	1.9%	5.40	2.93	—
2022	22	MIX MLE	2 levels	32	2	58	276	79	24	8	6%	1.8	20.6%	8.6%	12.0%	2.5%	5.90	3.81	—
2022	22	MIX RAW	2 levels	32	2	58	276	79	24	8	6%	1.8	28.6%	8.7%	19.9%	2.9%	5.90	3.41	—
2023	23	A+ MLE	Rome Braves	20	7	59	256	60	30	1	35%	3.0	18.0%	13.5%	4.6%	0.5%	2.29	3.55	—
2023	23	A+ RAW	Rome Braves	20	7	59	256	60	30	1	35%	3.0	23.4%	11.7%	11.7%	0.4%	2.29	2.81	—
2024	24	MIX MLE	2 levels	38	1	51	217	75	22	3	3%	1.3	26.1%	11.4%	14.7%	1.5%	4.24	3.18	—
2024	24	MIX MLE	2 levels	38	1	51	217	75	22	3	3%	1.3	26.1%	11.4%	14.7%	1.5%	4.24	3.18	—
2024	24	MIX RAW	2 levels	38	1	51	217	75	22	3	3%	1.3	34.6%	10.1%	24.4%	1.4%	4.24	2.22	—
2025	25	MIX MLE	3 levels	44	3	64	277	64	38	7	7%	1.4	19.2%	13.4%	5.8%	2.9%	3.39	4.77	-0.2
2025	25	MIX MLE	3 levels	44	3	64	277	64	38	7	7%	1.4	19.2%	13.4%	5.8%	2.9%	3.39	4.77	-0.2
2025	25	MIX RAW	3 levels	44	3	64	277	64	38	7	7%	1.4	23.1%	13.7%	9.4%	2.5%	3.39	4.31	+0.2
2026	26	MIX MLE	3 levels	46	0	57	255	79	29	5	0%	1.2	27.1%	10.8%	16.3%	2.0%	3.92	3.25	+0.9
2026	26	MIX MLE	3 levels	46	0	57	255	79	29	5	0%	1.2	27.1%	10.8%	16.3%	2.0%	3.92	3.25	+0.9
2026	26	MIX RAW	3 levels	46	0	57	255	79	29	5	0%	1.2	31.0%	11.4%	19.6%	2.0%	3.92	3.00	+1.1
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	0	6	33	8	6	2	0%	1.4	24.2%	18.2%	6.1%	6.1%	12.71	8.04	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	ATL	45	0	47	198	56	26	5	0%	1.0	28.1%	13.4%	14.8%	2.6%	4.23	4.23	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	ATL	56	0	58	246	68	32	7	0%	1.0	27.5%	13.1%	14.4%	2.8%	4.29	4.32	+0.2
2029	29	MLB MLE	ATL	49	0	51	215	58	28	6	0%	1.0	27.0%	13.0%	13.9%	2.9%	4.39	4.46	+0.1
2028	28	MLB CTX	ATL	43	0	45	190	52	25	5	0%	1.0	27.5%	13.1%	14.4%	2.8%	4.29	4.32	+0.1
2029	29	MLB CTX	ATL	40	0	42	177	48	23	5	0%	1.1	27.0%	13.0%	13.9%	2.9%	4.39	4.46	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		88	0	94	404	109	54	13	0%	1.1	27.0%	13.5%	13.5%	3.1%	4.85	4.23	+0.4
/ 200 IP	—	RAW		187	0	200	864	233	115	28	0%	1.1	27.0%	13.5%	13.5%	3.1%	4.85	4.23	+0.8
Career	—	MLE		204	15	333	1484	325	176	28	7%	1.6	21.9%	11.9%	10.0%	1.9%	4.14	3.80	-0.0
/ 200 IP	—	MLE		123	9	200	892	196	106	17	7%	1.6	21.9%	11.9%	10.0%	1.9%	4.14	3.80	-0.0

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.

2026 AAAGwinnett Stripers · 52 IPFIP 2.93 → 3.25 (+0.32)K% 31.6% → 27.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.56%	—	×0.860	27.14%
BB% (unintentional) /BF	12.00%	—	×0.900	10.80%
HR / BF /BF	1.78%	÷1.000	×1.100	1.96%

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 2.93 → 3.25, 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).

2025 AAColumbus Clingstones · 38 IPFIP 4.45 → 5.33 (+0.88)K% 20.5% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.48%	—	×0.810	16.59%
BB% (unintentional) /BF	13.86%	—	×1.100	15.24%
HR / BF /BF	2.41%	÷0.934	×1.200	3.10%

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 4.45 → 5.33, 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 3.38 → 3.74 (+0.36)K% 27.8% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.78%	—	×0.860	23.89%
BB% (unintentional) /BF	11.11%	—	×0.900	10.00%
HR / BF /BF	2.22%	÷0.961	×1.100	2.54%

Result: FIP 3.38 → 3.74, 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 AAMississippi Braves · 41 IPFIP 2.32 → 3.18 (+0.85)K% 32.2% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.18%	—	×0.810	26.07%
BB% (unintentional) /BF	10.34%	—	×1.100	11.38%
HR / BF /BF	1.15%	÷0.906	×1.200	1.52%

Result: FIP 2.32 → 3.18, 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+Rome Emperors · 10 IPFIP 1.82 → 3.50 (+1.68)K% 44.2% → 34.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	44.19%	—	×0.770	34.02%
BB% (unintentional) /BF	9.30%	—	×1.150	10.70%
HR / BF /BF	2.33%	÷0.831	×1.250	3.50%

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 66).

Result: FIP 1.82 → 3.50, 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 A+Rome Braves · 59 IPFIP 2.82 → 3.55 (+0.73)K% 23.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.44%	—	×0.770	18.05%
BB% (unintentional) /BF	11.72%	—	×1.150	13.48%
HR / BF /BF	0.39%	÷1.022	×1.250	0.48%

Result: FIP 2.82 → 3.55, 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 AAugusta GreenJackets · 49 IPFIP 2.85 → 3.81 (+0.96)K% 27.9% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.90%	—	×0.740	20.64%
BB% (unintentional) /BF	7.30%	—	×1.180	8.61%
HR / BF /BF	2.15%	÷1.127	×1.300	2.48%

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 125).

Result: FIP 2.85 → 3.81, 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+Rome Braves · 9 IPFIP 6.24 → 8.51 (+2.27)K% 32.6% → 25.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.56%	—	×0.770	25.07%
BB% (unintentional) /BF	16.28%	—	×1.150	18.72%
HR / BF /BF	6.98%	÷0.928	×1.250	9.40%

Result: FIP 6.24 → 8.51, 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
Rolddy Muñoz (OGILVIE)	—	—	—	—	—	2.6%	—	4.39	27.3%	14.2%	109	+0.16	—	—	—
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	81
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	81
Anthony Varvaro R 2012 · 3.66 FIP	27	SU	3.66	27.6%	10.5%	2.8%	.311	3.30	17.7%	11.0%	139	-0.36	3.02	208	80
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	79
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	79
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	78
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	78
Jose De La Torre R 2013 · 5.22 FIP	27	SU	5.22	28.3%	18.9%	3.9%	.308	3.87	17.6%	6.6%	110	-1.35	2.64	141	77
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	77
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	76
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	76
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	75
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	74
Maikel Cleto R 2016 · 3.44 FIP	27	SU	3.44	27.9%	9.9%	2.6%	.301	3.61	23.6%	14.3%	70	+0.17	2.59	185	74
Logan Boyer R 2024 · 3.71 FIP	26	SU	3.71	25.0%	12.3%	2.1%	.267	4.65	17.5%	3.5%	54	+0.94	3.71	121	74
Scott Dohmann R 2005 · 4.93 FIP	27	SU	4.93	24.5%	12.6%	4.2%	.321	4.69	18.9%	7.5%	96	-0.24	4.28	173	74
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	74
Scott Atchison R 2004 · 3.61 FIP	28	SU	3.61	27.1%	9.0%	3.0%	.309	4.55	19.1%	11.5%	31	+0.94	2.52	340	74
Jesus Cruz R 2022 · 4.50 FIP	27	SU	4.50	28.4%	13.9%	3.7%	.258	3.94	18.6%	8.1%	61	-0.56	3.15	293	74
Brooks Kriske R 2021 · 4.95 FIP	27	SU	4.95	28.6%	12.1%	5.0%	.261	4.27	30.0%	17.8%	88	-0.68	3.09	246	73

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	0.9	62	27.4%	13.4%	1.11	4.55
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Chad Fox ('09)	1.1	57	25.8%	13.2%	0.87	3.79
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82