Moises Rodriguez

Moises Rodriguez P Erie SeaWolves

Age 24 RHP 6'2" / 170 lbs AA peak 0.2 · 2028

2026 ROS PROJECTION49 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 118110vR 101

ERA4.45

FIP4.45

K%20.1%

BB%9.9%

K-BB%10.2%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 55 IP

Grades · Contract

Scouting Grades

STUF4555

CMD3545

K†5055

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 industry-standard fWAR.

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 + 2026 so far)
2021	19	ROK MLE	FCL Tigers West	9	0	12	67	9	11	1	0%	1.4	9.1%	20.5%	-11.4%	2.3%	5.84	6.19	—
2021	19	ROK RAW	FCL Tigers West	9	0	12	67	9	11	1	0%	1.4	13.4%	16.4%	-3.0%	1.5%	5.84	5.37	—
2022	20	ROK MLE	DSL Tigers 1	13	0	21	89	12	15	1	0%	1.6	9.2%	21.1%	-11.9%	1.6%	4.22	5.86	—
2022	20	ROK RAW	DSL Tigers 1	13	0	21	89	12	15	1	0%	1.6	13.5%	16.9%	-3.4%	1.1%	4.22	4.69	—
2023	21	ROK MLE	DSL Tigers 1	12	11	43	180	38	18	0	92%	3.6	14.4%	12.5%	1.9%	0.0%	1.90	3.47	—
2023	21	ROK MLE	DSL Tigers 1	12	11	43	180	38	18	0	92%	3.6	14.4%	12.5%	1.9%	0.0%	1.90	3.47	—
2023	21	ROK RAW	DSL Tigers 1	12	11	43	180	38	18	0	92%	3.6	21.1%	10.0%	11.1%	0.0%	1.90	2.58	—
2024	22	MIX MLE	2 levels	18	0	25	120	26	17	3	0%	1.4	14.2%	18.2%	-4.0%	4.0%	8.64	6.40	—
2024	22	MIX MLE	2 levels	18	0	25	120	26	17	3	0%	1.4	14.2%	18.2%	-4.0%	4.0%	8.64	6.40	—
2024	22	MIX RAW	2 levels	18	0	25	120	26	17	3	0%	1.4	21.7%	14.2%	7.5%	2.5%	8.64	4.62	—
2025	23	MIX MLE	2 levels	46	0	63	258	63	16	0	0%	1.4	18.3%	7.3%	11.0%	0.0%	2.84	2.48	—
2025	23	MIX MLE	2 levels	46	0	63	258	63	16	0	0%	1.4	18.3%	7.3%	11.0%	0.0%	2.84	2.48	—
2025	23	MIX RAW	2 levels	46	0	63	258	63	16	0	0%	1.4	24.4%	6.2%	18.2%	0.0%	2.84	1.87	—
▸ 2026 season
YTD	24	AA MLE	Erie SeaWolves	34	0	49	200	41	23	3	0%	1.4	17.4%	12.2%	5.3%	2.1%	2.57	4.32	—
YTD	24	AA MLE	Erie SeaWolves	34	0	49	200	41	23	3	0%	1.4	17.4%	12.2%	5.3%	2.1%	2.57	4.32	—
▸ 2026 season — so far · projected rest · full
2026	24	A+ RAW	DET	5	0	6	28	4	4	0	0%	1.3	14.3%	14.3%	0.0%	0.0%	1.42	3.70	—
2026	24	AA RAW	DET	29	0	43	172	37	19	3	0%	1.5	21.5%	11.0%	10.5%	1.7%	2.74	3.64	—
ROS	24	MLB MLE	DET	6	0	6	27	5	3	1	0%	1.1	20.1%	9.9%	10.2%	2.6%	4.45	4.45	+0.0
2026 TOT	24	MLB MLE	DET	—	—	55	227	46	26	4	—	—	20.4%	11.3%	9.1%	1.6%	2.79	4.33	+0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	DET	87	0	91	385	82	36	10	0%	1.0	21.2%	9.5%	11.7%	2.6%	4.36	4.31	+0.3
2028	26	MLB MLE	DET	87	0	91	385	84	36	10	0%	1.0	21.8%	9.3%	12.5%	2.6%	4.30	4.25	+0.3
2029	27	MLB MLE	DET	85	0	90	379	83	35	10	0%	1.1	21.8%	9.3%	12.5%	2.7%	4.30	4.29	+0.3
2030	28	MLB MLE	DET	83	0	87	367	80	35	10	0%	1.0	21.7%	9.4%	12.3%	2.8%	4.35	4.38	+0.2
2031	29	MLB MLE	DET	79	0	83	351	75	34	10	0%	1.1	21.5%	9.6%	11.8%	3.0%	4.44	4.51	+0.0
2032	30	MLB MLE	DET	74	0	78	330	76	30	10	0%	1.1	23.1%	9.1%	14.0%	3.2%	4.42	4.41	+0.1
2027	25	MLB CTX	DET	38	0	40	169	36	16	4	0%	1.1	21.2%	9.5%	11.7%	2.6%	4.36	4.31	+0.1
2028	26	MLB CTX	DET	58	0	61	258	56	24	7	0%	1.1	21.8%	9.3%	12.5%	2.6%	4.30	4.25	+0.2
2029	27	MLB CTX	DET	67	0	70	296	65	27	8	0%	1.0	21.8%	9.3%	12.5%	2.7%	4.30	4.29	+0.2
2030	28	MLB CTX	DET	70	0	73	308	67	29	9	0%	1.0	21.7%	9.4%	12.3%	2.8%	4.35	4.38	+0.1
2031	29	MLB CTX	DET	70	0	73	308	66	30	9	0%	1.0	21.5%	9.6%	11.8%	3.0%	4.44	4.51	+0.0
2032	30	MLB CTX	DET	67	0	70	296	68	27	9	0%	1.0	23.1%	9.1%	14.0%	3.2%	4.42	4.41	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		369	0	387	1634	358	153	46	0%	1.0	21.9%	9.4%	12.5%	2.8%	4.36	3.99	+2.6
/ 200 IP	—	RAW		190	0	200	844	185	79	24	0%	1.1	21.9%	9.4%	12.5%	2.8%	4.36	3.99	+1.3
Career	—	MLE		132	11	214	914	139	120	12	8%	1.6	15.2%	13.1%	2.1%	1.3%	3.58	4.19	+1.2
/ 200 IP	—	MLE		124	10	200	856	130	112	11	8%	1.6	15.2%	13.1%	2.1%	1.3%	3.58	4.19	+0.5

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
Moises Rodriguez (OGILVIE)	—	—	4.45	20.1%	9.9%	2.6%	—	4.28	21.6%	12.3%	272	-0.17	—	—	—
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	90
Bryan Pope R 2023 · 3.96 FIP	24	SU	3.96	19.4%	9.5%	2.4%	.332	5.20	12.7%	-0.3%	22	+1.24	3.96	148	89
Alex Palsha R 2016 · 3.84 FIP	24	SU	3.84	20.6%	10.4%	2.1%	.288	3.83	15.3%	4.4%	77	-0.01	3.40	134	88
Todd Van Steensel R 2015 · 3.79 FIP	24	SU	3.79	22.5%	11.6%	2.0%	.294	3.31	19.3%	6.5%	157	-0.48	2.87	223	88
Nelson Gonzalez R 2015 · 3.42 FIP	25	SU	3.42	19.6%	7.7%	1.8%	.293	4.98	17.7%	7.8%	115	+1.56	3.42	258	87
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	86
Kaleb Fontenot R 2017 · 4.48 FIP	24	SU	4.48	20.7%	8.6%	3.7%	.264	3.71	14.7%	5.2%	69	-0.77	3.71	155	86
Colton Murray R 2015 · 3.34 FIP	25	SU	3.34	20.5%	10.4%	1.2%	.251	4.08	21.4%	12.3%	109	+0.74	3.34	187	86
Johnny Barbato R 2016 · 3.73 FIP	24	SU	3.73	22.4%	11.2%	2.0%	.282	4.66	21.1%	11.6%	105	+0.93	2.59	304	86
Tyler Joyner R 2019 · 3.69 FIP	23	SU	3.69	20.7%	9.9%	2.0%	.250	6.38	16.1%	5.2%	37	+2.69	3.69	114	86
Blaze Pontes R 2023 · 3.61 FIP	23	SU	3.61	18.2%	9.4%	1.6%	.330	4.79	11.3%	-0.9%	187	+1.18	3.37	248	86
Randall Delgado R 2015 · 3.61 FIP	25	SU	3.61	23.7%	10.1%	2.2%	.284	3.78	20.3%	12.4%	167	+0.17	3.09	290	86
Andrew Bellatti R 2015 · 4.34 FIP	23	SU	4.34	19.3%	8.8%	3.2%	.288	—	—	—	—	—	2.67	278	86
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	85
Mayckol Guaipe R 2015 · 3.97 FIP	24	SU	3.97	17.0%	7.1%	2.6%	.330	2.49	21.2%	16.0%	33	-1.48	1.88	136	85
Héctor Neris R 2015 · 4.00 FIP	26	SU	4.00	20.9%	10.0%	2.5%	.298	3.03	31.5%	23.7%	221	-0.97	2.03	682	85
Mick VanVossen R 2017 · 4.25 FIP	24	SU	4.25	18.6%	8.9%	2.9%	.302	—	—	—	—	—	4.25	141	85
Alex Phillips R 2019 · 3.26 FIP	24	SU	3.26	22.0%	8.0%	1.8%	.263	4.62	23.2%	14.6%	72	+1.36	3.26	139	85
Stephen Villines R 2019 · 3.96 FIP	24	SU	3.96	16.8%	8.5%	2.2%	.280	3.15	20.6%	14.7%	40	-0.81	2.14	156	85
Matt Carasiti R 2015 · 3.85 FIP	24	SU	3.85	17.8%	9.8%	1.8%	.309	3.26	24.8%	15.5%	104	-0.59	2.80	312	85

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	3.1	87	21.6%	9.5%	1.07	4.37
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98
Junior Guerra ('21)	2.5	84	21.3%	11.0%	1.16	4.04
Daniel Norris ('22)	2.8	70	21.7%	8.5%	1.37	4.70
Michael Fulmer ('23)	3.4	96	20.3%	7.6%	0.99	3.94
Spencer Turnbull ('24)	1.7	68	22.0%	9.2%	0.77	4.18