Eduardo Rodriguez

P Arizona Diamondbacks

Age 34 LHP 6'2" / 231 lbs MLB peak 1.0 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	31	MLBARI	10	10	50	5.04	4.38	21.0%	8.0%	0.6
2025	32	MIX2 levels	30	30	159	5.04	4.59	21.3%	8.3%	1.5	K 20.6% · BB 8.4% · FIP 4.51
2026	33	MLBARI	32	32	190	2.89	3.88	18.1%	7.9%	3.5
2027PROJ	34	MLBARI	18	18	107	4.35	4.58	18.4%	8.0%	1.0
2028PROJ	35	MLBARI	11	11	68	4.69	4.92	17.4%	8.6%	0.4
2029PROJ	36	MLBARI	6	6	39	5.05	5.29	16.4%	9.2%	0.0

Last 3 seasons WAR 5.6 · Next 3 projected WAR 1.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs44

K%22

FB Velo16

Form5.20 ERA (proj 4.35) · K 18.9% (proj 18.4%) · BB 7.9% (proj 8.0%) · last 60d · 28 IP through Oct 27

CompsTsuyoshi Wada (age 34) · Daniel Rodriguez (age 34) · Mauricio Lara (age 36)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 100108vR 116

ERA4.35

FIP4.58

K%18.4%

BB%8.0%

K-BB%10.3%

Proj IP107

Value2027 · WAR

Runs saved vs league avg · 107 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1692.1

Whiff%

p2621.9%

p2218.1%

xwOBA vs

p440.318

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	22	MIX MLE	2 levels	29	29	170	712	142	43	15	100%	5.9	19.2%	6.1%	13.1%	2.2%	3.60	3.45	+4.1
2015	22	MIX RAW	2 levels	29	29	170	712	142	43	15	100%	5.9	19.9%	6.0%	13.9%	2.1%	3.60	3.34	+4.3
2016	23	MIX MLE	2 levels	27	27	145	612	124	46	22	100%	5.4	19.8%	7.6%	12.2%	3.8%	4.28	4.46	+1.6
2016	23	MIX RAW	2 levels	27	27	145	612	124	46	22	100%	5.4	20.3%	7.5%	12.7%	3.6%	4.28	4.31	+1.8
2017	24	MIX MLE	3 levels	28	27	151	644	165	54	20	96%	5.4	25.8%	8.4%	17.4%	3.3%	4.42	3.83	+2.8
2017	24	MIX RAW	3 levels	28	27	151	644	165	54	20	96%	5.4	25.6%	8.4%	17.2%	3.1%	4.42	3.71	+3.1
2018	25	MIX MLE	2 levels	29	25	138	584	160	48	16	86%	4.7	26.4%	8.0%	18.4%	3.0%	3.60	3.51	+3.2
2018	25	MIX RAW	2 levels	29	25	138	584	160	48	16	86%	4.7	27.4%	8.2%	19.2%	2.7%	3.60	3.33	+3.5
2019	26	MLB MLE	Boston Red Sox	34	34	203	859	213	73	24	100%	6.0	24.8%	8.5%	16.3%	2.9%	3.81	3.66	+4.3
2019	26	MLB RAW	Boston Red Sox	34	34	203	859	213	73	24	100%	6.0	24.8%	8.5%	16.3%	2.8%	3.81	3.62	+4.4
2021	28	MLB MLE	Boston Red Sox	32	31	158	675	185	47	19	97%	4.9	27.4%	7.0%	20.4%	2.9%	4.74	3.25	+4.2
2021	28	MLB RAW	Boston Red Sox	32	31	158	675	185	47	19	97%	4.9	27.4%	7.0%	20.4%	2.8%	4.74	3.21	+4.2
2022	29	MIX MLE	3 levels	21	21	109	459	103	37	12	100%	5.2	21.3%	8.1%	13.2%	2.8%	3.55	3.87	+2.0
2022	29	MIX RAW	3 levels	21	21	109	459	103	37	12	100%	5.2	22.4%	8.1%	14.4%	2.6%	3.55	3.66	+2.3
2023	30	MIX MLE	2 levels	27	27	157	637	147	49	15	100%	5.8	23.0%	7.7%	15.3%	2.5%	3.21	3.52	+3.6
2023	30	MIX RAW	2 levels	27	27	157	637	147	49	15	100%	5.8	23.1%	7.7%	15.4%	2.4%	3.21	3.41	+3.9
2024	31	MLB MLE	Arizona Diamondbacks	10	10	50	224	47	18	8	100%	5.0	21.0%	8.0%	12.9%	3.8%	5.04	4.42	+0.6
2024	31	MLB MLE	Arizona Diamondbacks	10	10	50	224	47	18	8	100%	5.0	21.0%	8.0%	12.9%	3.8%	5.04	4.42	+0.6
2024	31	MLB RAW	Arizona Diamondbacks	10	10	50	224	47	18	8	100%	5.0	21.0%	8.0%	12.9%	3.6%	5.04	4.38	+0.6
2025	32	MIX MLE	2 levels	30	30	159	712	152	59	28	100%	5.3	20.6%	8.4%	12.2%	3.8%	5.04	4.51	+1.6
2025	32	MIX MLE	2 levels	30	30	159	712	152	59	28	100%	5.3	20.6%	8.4%	12.2%	3.8%	5.04	4.51	+1.6
2025	32	MIX RAW	2 levels	30	30	159	712	152	59	28	100%	5.3	21.3%	8.3%	13.1%	3.9%	5.04	4.59	+1.5
2026	33	MLB MLE	Arizona Diamondbacks	32	32	190	788	143	62	19	100%	5.9	18.1%	7.9%	10.3%	2.6%	2.89	3.96	+3.3
2026	33	MLB MLE	Arizona Diamondbacks	32	32	190	788	143	62	19	100%	5.9	18.1%	7.9%	10.3%	2.6%	2.89	3.96	+3.3
2026	33	MLB RAW	Arizona Diamondbacks	32	32	190	788	143	62	19	100%	5.9	18.1%	7.9%	10.3%	2.4%	2.89	3.88	+3.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			273	267	1494	6367	1440	508	186	98%	5.5	22.6%	8.0%	14.6%	2.9%	4.02	3.81	+28.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	34	MLB	ARI	18	18	107	452	83	36	13	100%	5.9	18.4%	8.0%	10.3%	3.0%	4.35	4.58	+1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	35	MLB MLE	ARI	11	11	68	287	50	25	10	100%	6.2	17.4%	8.6%	8.8%	3.3%	4.69	4.92	+0.4
2029	36	MLB MLE	ARI	7	7	39	166	27	15	6	100%	5.6	16.4%	9.2%	7.2%	3.7%	5.05	5.29	+0.0
2028	35	MLB CTX	ARI	11	11	68	287	50	25	10	100%	6.2	17.4%	8.6%	8.8%	3.3%	4.69	4.92	+0.4
2029	36	MLB CTX	ARI	6	6	39	165	27	15	6	100%	6.5	16.4%	9.2%	7.2%	3.7%	5.05	5.29	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		291	285	1601	6819	1517	548	202	98%	5.5	22.2%	8.0%	14.2%	3.0%	4.08	3.86	+29.5
/ 200 IP	—	RAW		36	36	200	852	189	68	25	98%	5.5	22.2%	8.0%	14.2%	3.0%	4.08	3.86	+3.7
Career	—	MLE		299	293	1629	6906	1557	536	206	98%	5.4	22.5%	7.8%	14.8%	3.0%	3.93	3.82	+28.9
/ 200 IP	—	MLE		37	36	200	848	191	66	25	98%	5.4	22.5%	7.8%	14.8%	3.0%	3.93	3.82	+3.6

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.

2022 AAAToledo Mud Hens · 15 IPFIP -0.50 → 0.01 (+0.51)K% 48.1% → 42.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	48.15%	—	×0.880	42.37%
BB% (unintentional) /BF	3.70%	—	×1.050	3.89%
HR / BF /BF	0.00%	÷1.026	×1.100	0.00%

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 105).

Result: FIP -0.50 → 0.01, 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 AAPortland Sea Dogs · 8 IPFIP 0.92 → 1.81 (+0.89)K% 45.2% → 36.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.16%	—	×0.810	36.58%
BB% (unintentional) /BF	12.90%	—	×1.100	14.19%
HR / BF /BF	0.00%	÷1.166	×1.200	0.00%

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 133).

Result: FIP 0.92 → 1.81, 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).

2017 AAAPawtucket Red Sox · 10 IPFIP 2.24 → 2.58 (+0.35)K% 27.3% → 24.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.880	24.00%
BB% (unintentional) /BF	11.36%	—	×1.050	11.93%
HR / BF /BF	0.00%	÷1.106	×1.100	0.00%

Result: FIP 2.24 → 2.58, 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 AAAPawtucket Red Sox · 38 IPFIP 4.50 → 4.91 (+0.41)K% 15.6% → 13.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.58%	—	×0.880	13.71%
BB% (unintentional) /BF	4.55%	—	×1.050	4.77%
HR / BF /BF	3.90%	÷0.994	×1.100	4.31%

Result: FIP 4.50 → 4.91, 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).

2015 AAAPawtucket Red Sox · 48 IPFIP 2.19 → 2.50 (+0.31)K% 23.2% → 20.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.16%	—	×0.880	20.38%
BB% (unintentional) /BF	3.68%	—	×1.050	3.87%
HR / BF /BF	1.05%	÷1.012	×1.100	1.14%

Result: FIP 2.19 → 2.50, 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).

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
Eduardo Rodriguez (OGILVIE)	—	—	—	—	—	3.0%	—	5.06	17.0%	8.2%	107	+0.48	—	—	—
Tsuyoshi Wada L 2015 · 3.66 FIP	34	SP	3.66	16.8%	7.1%	2.0%	.307	—	—	—	—	—	3.60	188	50
Daniel Rodriguez L 2019 · 4.77 FIP	34	SP	4.77	20.8%	7.8%	4.5%	.329	—	—	—	—	—	2.89	391	48
Mauricio Lara L 2015 · 3.62 FIP	36	SP	3.62	13.9%	6.9%	1.5%	.310	3.69	12.1%	5.1%	220	+0.07	3.62	444	47
Oscar Rivera L 2015 · 3.68 FIP	34	SP	3.68	14.2%	6.9%	1.7%	.298	4.66	10.4%	3.0%	129	+0.98	3.68	237	47
Orlando Lara L 2019 · 4.09 FIP	34	SP	4.09	22.0%	7.8%	3.4%	.329	—	—	—	—	—	3.85	426	46
Jorge Castillo L 2016 · 4.94 FIP	34	SP	4.94	13.0%	4.6%	4.3%	.246	4.93	16.8%	9.2%	179	-0.01	4.50	408	44
Arturo Lopez L 2017 · 4.34 FIP	34	SP	4.34	10.3%	5.4%	2.6%	.342	5.46	12.2%	5.4%	117	+1.12	4.34	445	43
Kwang Hyun Kim L 2021 · 4.21 FIP	33	SP-	4.21	17.7%	8.2%	2.9%	.266	—	—	—	—	—	3.76	146	40
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	39
Jose Contreras R 2006 · 3.83 FIP	34	SP	3.83	16.1%	6.1%	2.4%	.277	4.08	14.7%	7.3%	442	+0.25	2.43	1,279	39
Masato Yoshii R 2000 · 5.32 FIP	35	SP	5.32	12.1%	6.5%	4.4%	.302	4.38	13.1%	8.0%	244	-0.94	4.15	757	38
Merrill Kelly R 2023 · 3.73 FIP	34	SP	3.73	25.9%	9.6%	2.9%	.276	4.36	19.7%	12.0%	420	+0.63	3.60	1,170	37
Chris Narveson L 2016 · 4.59 FIP	34	SP-	4.59	16.2%	8.5%	3.2%	.253	4.59	12.2%	1.8%	103	+0.00	4.00	625	36
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	35
Hiroki Kuroda R 2009 · 3.54 FIP	34	SP	3.54	17.9%	4.7%	2.5%	.270	3.43	19.1%	14.2%	618	-0.11	2.96	1,319	28
Francisley Bueno L 2015 · 3.77 FIP	34	SP	3.77	14.8%	7.1%	1.9%	.315	3.99	13.3%	6.6%	110	+0.22	2.43	188	27
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	26
Hisashi Iwakuma R 2015 · 3.74 FIP	34	SP	3.74	21.5%	3.9%	3.6%	.270	4.44	16.9%	11.2%	230	+0.70	3.19	884	25
Tomas Solis L 2017 · 5.48 FIP	34	SP	5.48	11.3%	7.9%	4.2%	.322	6.44	8.9%	1.4%	57	+0.96	4.20	327	25
Manuel Flores R 2019 · 4.32 FIP	33	SP	4.32	17.1%	7.4%	3.1%	.291	—	—	—	—	—	3.46	515	25

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 927 starter careers (497 from 1990-2025 + 430 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	8.5	122	22.0%	8.2%	1.15	4.09
Bruce Kison ('71-'85, 16 WAR*)	9.0	121	20.4%*	8.5%*	1.10*	4.16*
Jeff Samardzija ('20)	8.2	150	21.0%	7.1%	1.12	4.15
Mike Minor ('22)	7.0	128	21.6%	7.0%	1.30	4.25
Chris Capuano ('16)	7.1	119	19.5%	7.5%	1.23	4.38
Woodie Fryman ('66-'83, 21 WAR*)	12.1	142	21.1%*	8.8%*	1.09*	4.43*
Don Robinson ('78-'92, 16 WAR*)	9.8	131	20.5%*	7.8%*	1.26*	4.41*