José Godoy — OGILVIE

José GodoyC Aguilas del Zulia

Age 31 L/R 5'9" / 200 lbs INTL HR +11%H +4% Svc 5.000 · Ctrl thru 2026 peak 0.5 · 2026

wRC+†77

AVG/OBP/SLG.222 / .284 / .349

PA200

HR5

K%24

BB%7

MLB%0%

trajectory · 10 yrs

0.4peak

2026

Contract

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

Status Arb-3

MLB Debut 2021

Service 5.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-3	$2M	+0.5	$2M	+$0.2M
Totals		$2M		$2M	+$0.2M

Career Projections (MLE)

All seasons translated to park-neutral MLB-equivalent (MLE) and combined per year. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2012	17	ROK	DSL Cardinals	181	155	29	3	1	0	19	32	4	0	2	.187	.292	.219	.511	.032	.230	18	10	.238	40	-12	-1	+0	+3	+5	-0.5
2013	18	ROK	GCL Cardinals	133	119	25	4	0	0	9	26	5	1	0	.210	.293	.244	.537	.034	.269	20	7	.240	42	-9	+0	+0	+2	+4	-0.2
2014	19	ROK	Johnson City Cardinals	137	124	35	3	0	1	12	16	1	0	0	.282	.350	.331	.681	.048	.318	12	9	.299	87	-2	+0	+0	+2	+4	0.4
2016	21	A	Peoria Chiefs	327	296	82	10	0	1	20	41	8	1	1	.277	.340	.321	.660	.044	.316	13	6	.293	82	-7	-0	+0	+6	+9	0.9
2017	22	A+	Palm Beach Cardinals	265	242	60	14	0	4	12	51	3	1	2	.248	.292	.355	.647	.107	.296	19	5	.277	70	-9	-1	+0	+5	+8	0.3
2018	23	A+	3 teams	358	318	82	14	1	2	24	70	10	2	0	.258	.330	.327	.657	.069	.324	20	7	.293	83	-7	+0	+0	+6	+10	1.0
2019	24	AA	2 teams	275	246	55	12	0	5	18	61	6	0	1	.224	.293	.333	.626	.110	.272	22	7	.280	73	-9	-0	+0	+5	+8	0.4
2021	26	AAA	2 teams	365	341	84	13	1	6	16	88	3	1	0	.246	.286	.343	.629	.097	.311	24	4	.274	68	-13	+0	-0	+7	+10	0.4
2022	27	AAA	3 teams	271	256	46	7	0	6	12	85	2	0	0	.180	.222	.277	.500	.098	.241	31	4	.222	28	-22	+0	+1	+5	+8	-0.8
2023	28	AAA	Norfolk Tides	132	120	27	2	0	3	11	27	1	2	1	.225	.295	.317	.612	.092	.267	20	8	.284	76	-4	+0	+0	+2	+4	0.2
2024	29	AAA	2 teams	108	98	14	2	0	0	5	24	3	0	0	.143	.208	.163	.371	.020	.189	22	5	.166	-15	-14	+0	+0	+2	+3	-0.9
2025	30	INTL	Aguilas del Zulia	87	76	16	2	0	2	7	15	2	2	1	.211	.294	.316	.610	.105	.233	17	8	—	—	—	—	+0	+2	—	—
▸ 2026 Season
2026	31	MLB	PHI	200	182	42	8	1	5	14	49	2	4	1	.231	.293	.368	.661	.137	.277	24	7	.286	77	-5	+0	+1	+4	+6	0.5
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	32	MLB 7%	PHI	170	154	34	6	1	4	12	42	2	3	1	.221	.286	.351	.636	.130	.277	25	7	.285	76	-5	+0	-3	+3	+5	0.1
2028	33	MLB 18%	PHI	137	124	28	5	1	3	10	35	2	2	0	.226	.294	.355	.649	.129	.277	26	7	.283	74	-4	+0	-4	+2	+4	-0.1
2029	34	MLB 27%	PHI	98	90	19	4	0	2	7	25	1	1	0	.211	.276	.322	.598	.111	.276	26	7	.278	71	-3	+0	-5	+2	+3	-0.3
▸ Career Totals (MLE all levels + projections)
Career	—			3244	2941	678	109	6	44	208	687	55	20	10	.231	.294	.317	.610	.086	.284	21	6	.263	60	-148	+0	-9	+58	+92	-0.7
/ 162G	—			650	589	136	22	1	9	42	138	11	4	2	.231	.294	.317	.612	.087	.285	21	6	.263	60	-30	+0	-2	+12	+18	-0.1

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	PA	AB	H	2B	3B	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2012	17	ROK	DSL Cardinals	181	142	34	4	1	0	32	22	4	0	2	.239	.393	.282	.675	.042	.276	12	18	.322	104	+1	-1	—	—	+5	0.5
2013	18	ROK	GCL Cardinals	133	114	30	5	0	0	14	18	5	1	0	.263	.368	.307	.675	.044	.312	14	11	.319	103	+0	+0	—	—	+4	0.4
2014	19	ROK	Johnson City Cardinals	137	118	39	4	0	1	18	11	1	0	0	.331	.423	.390	.813	.059	.358	8	13	.374	145	+7	+0	—	—	+4	1.1
2016	21	A	Peoria Chiefs	327	287	84	11	0	1	29	34	8	1	1	.293	.373	.341	.715	.049	.327	10	9	.329	110	+4	-0	—	—	+9	1.3
2017	22	A+	Palm Beach Cardinals	265	238	63	14	0	4	16	36	3	1	2	.265	.319	.374	.693	.109	.295	14	6	.303	90	-3	-1	—	—	+8	0.4
2018	23	AA	Springfield Cardinals	33	31	7	1	0	0	2	3	0	0	0	.226	.273	.258	.531	.032	.250	9	6	.246	46	-2	+0	—	—	+1	-0.1
2018	23	A+	Palm Beach Cardinals	249	211	61	10	1	2	25	37	7	2	0	.289	.383	.374	.757	.085	.341	15	10	.340	118	+5	+0	—	—	+7	1.3
2018	23	INTL	Caribes de Anzoategui	76	66	24	3	0	1	7	7	3	0	0	.364	.447	.455	.902	.091	.397	9	9	.409	172	+6	+0	—	—	+2	0.8
2019	24	AAA	Memphis Redbirds	87	79	25	6	0	2	7	16	0	0	0	.316	.372	.468	.840	.152	.371	18	8	.369	141	+4	+0	—	—	+2	0.7
2019	24	AA	Springfield Cardinals	188	160	41	10	0	5	18	30	6	0	1	.256	.353	.412	.766	.156	.281	16	10	.339	118	+4	-0	—	—	+5	0.9
2021	26	MLB	Seattle Mariners	40	37	6	1	0	0	3	14	0	0	0	.162	.225	.189	.414	.027	.261	35	8	.198	9	-4	+0	-0	+7	+1	0.3
2021	26	AAA	Tacoma Rainiers	325	298	85	15	1	7	19	57	3	1	0	.285	.334	.413	.747	.128	.328	18	6	.329	110	+4	+0	—	—	+9	1.3
2022	27	MLB	Pittsburgh Pirates	22	20	1	0	0	0	2	9	0	0	0	.050	.136	.050	.186	.000	.091	41	9	.105	-62	-4	+0	+1	+5	+1	0.3
2022	27	AAA	Indianapolis Indians	193	176	40	6	0	6	14	48	2	0	0	.227	.292	.364	.655	.136	.276	25	7	.294	83	-4	+0	—	—	+5	0.2
2022	27	INTL	Aguilas del Zulia	56	48	11	2	1	0	8	10	0	0	0	.229	.339	.312	.652	.083	.289	18	14	.304	91	-1	+0	—	—	+2	0.1
2023	28	AAA	Norfolk Tides	132	116	31	3	0	4	15	22	1	2	1	.267	.356	.397	.753	.129	.300	17	11	.342	120	+3	+0	—	—	+4	0.7
2024	29	AAA	Lehigh Valley IronPigs	63	56	8	1	0	0	4	12	2	0	0	.143	.226	.161	.387	.018	.182	19	6	.189	3	-7	+0	—	—	+2	-0.5
2024	29	INTL	Aguilas del Zulia	45	37	6	3	0	1	6	5	1	0	0	.162	.295	.324	.620	.162	.161	11	13	.281	74	-1	+0	—	—	+1	-0.0
2025	30	INTL	Aguilas del Zulia	87	76	16	2	0	2	7	15	2	2	1	.211	.294	.316	.610	.105	.233	17	8	.275	69	-3	+0	—	—	+2	-0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			62	57	7	1	0	0	5	23	0	0	0	.123	.194	.140	.334	.018	.206	37	8	.165	-16	-8	+0	+1	+11	+2	0.6

Career Path Comps

What happened to players with a similar stat profile at this age · Y-axis: wRC+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

		Scouting				At Match Age									Next 3 Yrs									Peak 3 Yrs
Comp	Age	HIT	PWR	SPD	EYE	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR	AVG/OBP/SLG	ISO	BABIP	HR	SB	K%	BB%	wRC+	WAR
José Godoy (OGILVIE)	31	—	—	—	—	.222/.284/.349	.127	.277	5	4	24%	7%	77	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Johnny Monell 2016 · MLB	30	47→44	45→50	48→45	46	.232/.288/.353	.121	.287	12	9	24%	7%	79	+0.3	.231/.280/.354	.123	.284	13	6	23%	6%	76	+0.0	.221/.272/.347	.126	.278	14	2	25%	6%	68	-0.3
✕Chris Owings 2023 · MLB	31	40→50	47→50	50→55	44	.205/.272/.343	.138	.276	15	13	31%	8%	70	-0.3	.203/.276/.336	.133	.294	16	11	34%	8%	70	-0.3	.193/.274/.320	.127	.282	16	11	35%	9%	62	-0.5
✕Brett Nicholas 2018 · MLB	30	48→50	46→50	43→40	40	.238/.278/.366	.128	.294	14	4	24%	5%	78	+0.2	.229/.277/.362	.133	.287	14	5	25%	5%	76	+0.1	.217/.270/.348	.131	.269	15	1	25%	6%	66	-0.5
✕Brooks Conrad 2011 · MLB	31	41→44	52→55	52→50	43	.217/.277/.384	.167	.274	20	11	29%	7%	83	+0.6	.230/.298/.415	.185	.307	23	9	31%	8%	100	+1.7	.210/.276/.403	.193	.274	26	2	33%	8%	85	+0.3
✕Juan Centeno 2021 · MLB	31	45	40→45	47→40	45	.219/.272/.309	.090	.260	8	6	19%	6%	60	-1.0	.236/.281/.350	.114	.289	11	5	22%	5%	75	-0.0	.234/.276/.339	.104	.299	10	3	24%	5%	65	-0.3
✕Garrett Stubbs 2023 · MLB	30	47	47→45	53→50	54	.234/.320/.370	.136	.293	15	11	24%	11%	97	+1.5	.225/.300/.336	.111	.291	11	12	25%	9%	80	+0.4	.217/.289/.307	.089	.283	9	11	25%	7%	64	-0.3
✕Chris Herrmann 2018 · MLB	30	41→50	50	55→50	50	.212/.291/.363	.150	.264	18	11	26%	10%	83	+0.6	.227/.310/.379	.152	.306	17	6	29%	11%	95	+1.4	.214/.299/.358	.144	.307	16	0	33%	10%	82	+0.2
✕Justin Leone 2008 · AAA	31	42→41	48→50	52→55	48	.212/.290/.355	.142	.274	16	14	28%	9%	81	+0.4	.199/.276/.341	.142	.265	16	16	30%	9%	71	-0.3	.169/.251/.300	.130	.226	15	14	31%	10%	50	-1.0
✕Jesus Alberto Vega 2013 · AAA	31	43	46→50	46→40	43	.217/.271/.341	.124	.261	15	7	23%	6%	69	-0.4	.225/.275/.351	.126	.292	15	7	27%	6%	73	-0.1	.221/.272/.330	.110	.295	13	3	29%	6%	62	-0.3
✕Val Majewski 2012 · AAA	31	46→54	47→45	50	46	.233/.292/.369	.136	.288	15	11	24%	7%	85	+0.7	.222/.274/.323	.101	.274	8	9	21%	6%	64	-0.8	.206/.253/.278	.072	.253	2	5	18%	5%	40	-1.1
✕David Matranga 2008 · AAA	31	40	46→45	50	43	.204/.272/.327	.122	.263	14	12	28%	7%	66	-0.6	.217/.291/.342	.125	.292	13	9	29%	8%	78	+0.2	.211/.297/.329	.119	.288	12	5	29%	9%	75	+0.0
✕Rob Johnson 2013 · MLB	31	42→52	42→45	47→50	47	.207/.272/.313	.107	.253	10	8	22%	7%	62	-0.9	.212/.267/.333	.121	.258	13	6	22%	7%	65	-0.7	.194/.253/.309	.115	.236	13	0	23%	7%	50	-0.7
✕Robinson Cancel 2007 · AAA	31	46	47→45	47→50	47	.234/.286/.366	.132	.271	15	8	20%	6%	82	+0.5	.229/.270/.343	.114	.270	11	10	19%	5%	68	-0.5	.251/.300/.345	.094	.296	8	15	17%	6%	77	+0.1
✕Austin Wynns 2022 · MLB	31	45→52	45	48→30	46	.224/.281/.336	.112	.265	13	5	21%	7%	72	-0.2	.243/.308/.357	.114	.303	12	5	23%	8%	89	+0.9	.244/.309/.343	.100	.312	10	2	24%	7%	82	+0.2
✕Tim Federowicz 2019 · MLB	31	47→49	47→50	49→40	42	.236/.285/.371	.136	.302	15	5	27%	6%	82	+0.5	.209/.262/.340	.131	.279	15	6	30%	7%	64	-0.8	.166/.219/.275	.108	.223	15	2	32%	6%	28	-1.3
✕Ryan Flaherty 2017 · MLB	31	44→47	46→55	50→45	48	.222/.294/.354	.131	.281	14	5	25%	8%	82	+0.5	.231/.306/.354	.123	.297	13	6	25%	9%	87	+0.8	.222/.294/.352	.130	.288	15	4	27%	8%	77	+0.1
✕Jason Pridie 2015 · AAA	31	46→53	45→50	55	42	.232/.275/.356	.124	.290	13	18	25%	6%	73	-0.1	.245/.293/.397	.152	.300	18	19	24%	6%	92	+1.2	.257/.308/.427	.170	.309	21	19	23%	6%	105	+1.9
✕Cole Sturgeon 2022 · AAA	30	48→49	46→45	49→50	40	.237/.286/.366	.129	.310	13	10	27%	5%	81	+0.4	.217/.270/.324	.107	.260	11	12	21%	6%	63	-0.8	.208/.262/.302	.094	.247	10	11	20%	6%	51	-1.3
✕Anthony Recker 2015 · MLB	31	41→48	52→50	43→45	43	.214/.277/.374	.160	.286	20	6	32%	8%	80	+0.4	.211/.285/.362	.151	.286	18	5	31%	8%	81	+0.4	.205/.278/.348	.144	.276	15	2	30%	8%	70	-0.1
✕John Suomi 2012 · AAA	31	47	45→50	42→40	41	.235/.273/.358	.123	.280	14	6	22%	4%	73	-0.1	.235/.274/.342	.107	.267	11	6	16%	5%	69	-0.4	.237/.274/.327	.090	.258	10	2	12%	5%	61	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)