Reynaldo López

P Atlanta Braves

Age 33 RHP 6'1" / 225 lbs MLB peak 0.2 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	30	MIX2 levels	27	26	140	2.13	2.78	27.0%	7.7%	4.6	K 27.3% · BB 7.7% · FIP 2.79
2025	31	MLBATL	1	1	5	5.40	6.50	4.0%	8.0%	-0.1
2026	32	MIX2 levels	29	16	93	4.24	4.02	20.7%	9.1%	1.5	K 20.4% · BB 9.1% · FIP 4.02
2027PROJ	33	MLBATL	10	10	62	4.07	4.27	22.3%	9.0%	0.8
2028PROJ	34	MLBATL	6	6	39	4.37	4.58	21.4%	9.5%	0.4
2029PROJ	35	MLBATL	4	4	23	4.70	4.91	20.4%	10.1%	0.1

Last 3 seasons WAR 6.1 · Next 3 projected WAR 1.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo44

K%43

xwOBA vs30

CompsMitch Lively (age 31) · Mike Burns (age 31) · Marco Quevedo (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 117109vR 100

ERA4.07

FIP4.27

K%22.3%

BB%9.0%

K-BB%13.2%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4494.1

Whiff%

p2922.3%

p4321.1%

xwOBA vs

p300.335

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)
2015	21	A+ MLE	Potomac Nationals	19	19	99	404	94	28	5	100%	5.2	17.9%	8.0%	9.9%	1.7%	4.09	3.54	—
2015	21	A+ RAW	Potomac Nationals	19	19	99	404	94	28	5	100%	5.2	23.3%	6.9%	16.3%	1.2%	4.09	2.71	—
2016	22	MIX MLE	3 levels	30	25	153	659	168	54	17	83%	5.1	22.1%	8.6%	13.5%	2.5%	3.70	3.70	+3.1
2016	22	MIX RAW	3 levels	30	25	153	659	168	54	17	83%	5.1	25.5%	8.2%	17.3%	2.6%	3.70	3.41	+3.7
2017	23	MIX MLE	2 levels	30	30	169	722	161	63	23	100%	5.6	20.1%	9.1%	11.1%	3.1%	4.06	4.24	+2.3
2017	23	MIX RAW	2 levels	30	30	169	722	161	63	23	100%	5.6	22.3%	8.7%	13.6%	3.2%	4.06	4.08	+2.6
2018	24	MLB MLE	Chicago White Sox	32	32	189	799	151	74	25	100%	5.9	18.9%	9.3%	9.6%	3.1%	3.91	4.37	+2.3
2018	24	MLB RAW	Chicago White Sox	32	32	189	799	151	74	25	100%	5.9	18.9%	9.3%	9.6%	3.1%	3.91	4.40	+2.2
2019	25	MLB MLE	Chicago White Sox	33	33	184	809	169	65	35	100%	5.6	20.9%	8.0%	12.9%	4.3%	5.38	4.69	+1.5
2019	25	MLB RAW	Chicago White Sox	33	33	184	809	169	65	35	100%	5.6	20.9%	8.0%	12.9%	4.3%	5.38	4.80	+1.3
2020	26	MLB MLE	Chicago White Sox	8	8	26	121	24	15	9	100%	3.3	19.8%	12.4%	7.4%	7.3%	6.49	7.01	-0.5
2020	26	MLB RAW	Chicago White Sox	8	8	26	121	24	15	9	100%	3.3	19.8%	12.4%	7.4%	7.4%	6.49	7.43	-0.6
2021	27	MIX MLE	2 levels	30	19	97	411	105	34	16	63%	3.2	24.1%	8.5%	15.6%	3.7%	5.12	4.20	+1.4
2021	27	MIX RAW	2 levels	30	19	97	411	105	34	16	63%	3.2	25.5%	8.3%	17.3%	3.9%	5.12	4.13	+1.4
2022	28	MLB MLE	Chicago White Sox	61	1	65	254	63	10	1	2%	1.1	24.8%	3.9%	20.9%	0.4%	2.76	1.72	+2.2
2022	28	MLB RAW	Chicago White Sox	61	1	65	254	63	10	1	2%	1.1	24.8%	3.9%	20.9%	0.4%	2.76	1.83	+2.1
2023	29	MLB MLE	Cleveland Guardians	68	0	66	278	83	32	8	0%	1.0	29.9%	11.5%	18.3%	2.9%	3.27	3.62	+0.7
2023	29	MLB RAW	Cleveland Guardians	68	0	66	278	83	32	8	0%	1.0	29.9%	11.5%	18.3%	2.9%	3.27	3.62	+0.7
2024	30	MIX MLE	2 levels	27	26	140	562	152	43	10	96%	5.2	27.3%	7.7%	19.5%	1.8%	2.13	2.79	+4.6
2024	30	MIX MLE	2 levels	27	26	140	562	152	43	10	96%	5.2	27.3%	7.7%	19.5%	1.8%	2.13	2.79	+4.6
2024	30	MIX RAW	2 levels	27	26	140	562	152	43	10	96%	5.2	27.0%	7.7%	19.4%	1.8%	2.13	2.78	+4.6
2025	31	MLB MLE	Atlanta Braves	1	1	5	25	1	2	1	100%	5.0	4.0%	8.0%	-4.0%	4.0%	5.40	5.97	-0.0
2025	31	MLB MLE	Atlanta Braves	1	1	5	25	1	2	1	100%	5.0	4.0%	8.0%	-4.0%	4.0%	5.40	5.97	-0.0
2025	31	MLB RAW	Atlanta Braves	1	1	5	25	1	2	1	100%	5.0	4.0%	8.0%	-4.0%	4.0%	5.40	6.50	-0.1
2026	32	MIX MLE	2 levels	29	16	93	405	84	37	11	55%	3.2	20.4%	9.1%	11.3%	2.7%	4.24	4.02	+1.5
2026	32	MIX MLE	2 levels	29	16	93	405	84	37	11	55%	3.2	20.4%	9.1%	11.3%	2.7%	4.24	4.02	+1.5
2026	32	MIX RAW	2 levels	29	16	93	405	84	37	11	55%	3.2	20.7%	9.1%	11.6%	2.7%	4.24	4.02	+1.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			294	136	900	3805	839	321	121	46%	3.1	22.0%	8.4%	13.6%	3.2%	3.99	4.05	+5.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	33	MLB	ATL	10	10	62	262	58	24	7	100%	6.2	22.3%	9.0%	13.2%	2.8%	4.07	4.27	+0.8
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	34	MLB MLE	ATL	6	6	39	166	35	16	5	100%	6.5	21.4%	9.5%	11.9%	3.1%	4.37	4.58	+0.4
2029	35	MLB MLE	ATL	4	4	23	98	20	10	3	100%	5.8	20.4%	10.1%	10.3%	3.4%	4.70	4.91	+0.1
2028	34	MLB CTX	ATL	6	6	39	165	35	16	5	100%	6.5	21.4%	9.5%	11.9%	3.1%	4.37	4.58	+0.4
2029	35	MLB CTX	ATL	4	4	23	97	20	10	3	100%	5.8	20.4%	10.1%	10.3%	3.4%	4.70	4.91	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		304	146	962	4069	894	347	129	48%	3.2	22.0%	8.5%	13.5%	3.2%	4.02	4.07	+5.5
/ 200 IP	—	RAW		63	30	200	846	186	72	27	48%	3.2	22.0%	8.5%	13.5%	3.2%	4.02	4.07	+1.1
Career	—	MLE		368	210	1286	5449	1189	468	160	57%	3.5	21.8%	8.6%	13.2%	2.9%	4.02	3.96	+14.9
/ 200 IP	—	MLE		57	33	200	847	185	73	25	57%	3.5	21.8%	8.6%	13.2%	2.9%	4.02	3.96	+3.1

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.

2026 AAAGwinnett Stripers · 14 IPFIP 2.17 → 2.33 (+0.16)K% 18.6% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.64%	—	×0.860	16.03%
BB% (unintentional) /BF	5.08%	—	×0.900	4.58%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 2.17 → 2.33, 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).

2021 AAACharlotte Knights · 39 IPFIP 4.02 → 4.22 (+0.21)K% 26.5% → 23.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.46%	—	×0.880	23.28%
BB% (unintentional) /BF	11.11%	—	×1.050	11.67%
HR / BF /BF	3.17%	÷1.190	×1.100	2.93%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 138).

Result: FIP 4.02 → 4.22, 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 AAACharlotte Knights · 121 IPFIP 3.86 → 4.11 (+0.24)K% 25.4% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.44%	—	×0.880	22.38%
BB% (unintentional) /BF	9.51%	—	×1.050	9.99%
HR / BF /BF	3.11%	÷1.150	×1.100	2.97%

Result: FIP 3.86 → 4.11, 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).

2016 AAHarrisburg Senators · 76 IPFIP 2.66 → 3.05 (+0.39)K% 30.4% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.40%	—	×0.810	24.62%
BB% (unintentional) /BF	7.60%	—	×1.100	8.36%
HR / BF /BF	2.13%	÷1.445	×1.200	1.77%

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 189).

Result: FIP 2.66 → 3.05, 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).

2016 AAASyracuse Chiefs · 33 IPFIP 4.83 → 5.40 (+0.57)K% 20.2% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.16%	—	×0.880	17.74%
BB% (unintentional) /BF	6.98%	—	×1.050	7.33%
HR / BF /BF	4.65%	÷0.978	×1.100	5.23%

Result: FIP 4.83 → 5.40, 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).

2015 A+Potomac Nationals · 99 IPFIP 2.69 → 3.54 (+0.85)K% 23.3% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.27%	—	×0.770	17.92%
BB% (unintentional) /BF	6.93%	—	×1.150	7.97%
HR / BF /BF	1.24%	÷0.900	×1.250	1.72%

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 80).

Result: FIP 2.69 → 3.54, 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
Reynaldo López (OGILVIE)	—	—	—	—	—	2.8%	—	4.70	21.0%	11.3%	62	+0.43	—	—	—
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	63
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	59
Marco Quevedo R 2019 · 5.17 FIP	32	SP-	5.17	13.6%	11.4%	3.2%	.344	—	—	—	—	—	4.13	300	57
Jared Fernandez R 2003 · 3.57 FIP	31	SP-	3.57	11.8%	6.2%	1.2%	.269	—	—	—	—	—	3.57	101	57
Casey Lawrence R 2021 · 4.08 FIP	33	SP-	4.08	20.0%	5.2%	3.7%	.284	4.99	15.9%	10.6%	440	+0.91	3.57	1,374	56
Austin Bibens-Dirkx R 2018 · 4.89 FIP	33	SP-	4.89	17.9%	7.6%	4.3%	.322	4.82	15.9%	9.5%	147	-0.07	3.97	567	55
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	54
Deck McGuire R 2022 · 5.12 FIP	33	SP-	5.12	15.7%	13.1%	3.1%	.279	—	—	—	—	—	3.41	622	54
Mike Fyhrie R 2002 · 3.86 FIP	32	SW	3.86	13.7%	9.0%	1.4%	.267	—	—	—	—	—	3.08	173	54
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	53
Josh Lindblom R 2020 · 3.50 FIP	33	SP	3.50	27.2%	8.4%	3.0%	.308	4.46	21.7%	13.8%	255	+0.96	1.83	480	53
Osvaldo Fernandez R 2001 · 4.53 FIP	32	SP-	4.53	9.6%	8.2%	2.2%	.324	—	—	—	—	—	4.25	387	52
Kenshin Kawakami R 2009 · 3.97 FIP	34	SP-	3.97	15.7%	7.6%	2.2%	.277	4.06	15.1%	9.5%	87	+0.09	3.97	244	51
Toru Murata R 2016 · 3.63 FIP	31	SW	3.63	12.9%	5.7%	1.6%	.288	—	—	—	—	—	3.63	267	50
Junior Guerra R 2018 · 3.99 FIP	33	SP	3.99	22.3%	9.0%	3.0%	.309	4.12	21.2%	9.1%	173	+0.13	3.18	646	50
Pete Walker R 2002 · 4.59 FIP	33	SP-	4.59	13.4%	7.7%	3.0%	.279	5.16	12.0%	2.8%	139	+0.57	4.45	327	50
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	49
Thad Weber R 2017 · 5.25 FIP	32	SP-	5.25	13.2%	4.4%	4.9%	.398	—	—	—	—	—	4.40	378	49
Rolando Arrojo R 2001 · 3.50 FIP	33	SW	3.50	17.8%	7.1%	1.8%	.249	3.91	14.7%	7.2%	81	+0.41	3.50	700	48
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	47

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	5.1	79	22.0%	8.7%	1.22	4.03
Pete Richert ('62-'74, 13 WAR*)	5.8	90	24.4%*	8.8%*	1.26*	4.04*
Grant Jackson ('65-'82, 12 WAR*)	6.8	85	21.2%*	8.8%*	1.09*	4.06*
Gene Nelson ('81-'93, 6 WAR*)	5.4	83	19.6%*	8.8%*	1.17*	4.31*
Brett Cecil ('18)	3.8	76	20.7%	8.3%	1.14	4.29
Carlos Villanueva ('16)	5.0	91	20.4%	7.6%	1.25	4.31
Joaquín Benoit ('17)	5.3	71	23.5%	9.7%	1.09	3.83