Rob Brantly — OGILVIE

Rob BrantlyC Scranton/Wilkes-Barre RailRiders

Age 37 L/R 6'1" / 190 lbs AAA HR +8%BB +8% Svc 14.000 · Ctrl thru 2026 peak 0.3 · 2026

wRC+†86

AVG/OBP/SLG.233 / .300 / .355

PA108

HR2

K%21

BB%6

MLB%10%

Contract

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

Status FA

MLB Debut 2012

Service 14.000 yrs.days

Team Control Through 2026

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Ext / FA-deal	$1M	+0.3	$1M	+$0.1M
Totals		$1M		$1M	+$0.1M

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
2010	21	A	West Michigan Whitecaps	217	193	43	8	1	1	18	29	5	2	2	.223	.306	.290	.596	.067	.258	13	8	.261	58	-10	-0	+0	+4	+6	-0.1
2011	22	A	3 teams	522	490	119	22	1	10	19	85	5	2	2	.243	.278	.353	.631	.110	.273	16	4	.274	68	-19	-0	+0	+9	+15	0.5
2012	23	AA	3 teams	501	468	125	28	1	7	27	82	4	1	4	.267	.313	.376	.689	.109	.310	16	5	.298	86	-8	-1	-4	+9	+14	1.1
2013	24	MLB	2 teams	317	294	58	11	0	1	17	63	2	0	0	.197	.246	.245	.491	.048	.245	20	5	.225	30	-25	+0	-7	+6	+9	-1.8
2014	25	AAA	New Orleans Zephyrs	392	371	82	13	2	3	13	78	1	0	0	.221	.249	.291	.540	.070	.266	20	3	.235	38	-27	+0	+0	+7	+11	-1.0
2015	26	AA	3 teams	251	239	58	9	1	7	7	48	1	0	1	.243	.267	.377	.644	.134	.271	19	3	.276	70	-9	-0	-2	+4	+7	0.1
2016	27	AAA	2 teams	354	343	72	13	1	13	6	74	2	0	1	.210	.228	.367	.595	.157	.229	21	2	.251	50	-20	-0	+0	+6	+10	-0.4
2017	28	AAA	2 teams	357	324	80	10	1	9	17	63	11	3	3	.247	.307	.367	.674	.120	.276	18	5	.298	86	-6	-1	+0	+6	+10	1.1
2018	29	AAA	Columbus Clippers	246	231	43	9	0	1	6	58	6	0	0	.186	.226	.238	.464	.052	.240	24	2	.212	20	-22	+0	+0	+4	+7	-1.1
2019	30	AAA	2 teams	308	281	74	12	2	7	23	39	4	0	0	.263	.328	.395	.723	.132	.285	13	7	.318	102	+1	+0	+0	+6	+9	1.5
2021	32	AAA	2 teams	285	255	63	9	1	7	13	54	15	1	0	.247	.322	.373	.694	.125	.286	19	5	.305	92	-3	+0	-1	+5	+8	1.0
2022	33	AAA	Scranton/Wilkes-Barre RailRiders	201	186	44	9	1	1	7	38	7	1	0	.237	.290	.312	.602	.075	.291	19	3	.263	59	-9	+0	+0	+4	+6	0.0
2023	34	AAA	Buffalo Bisons	177	149	35	8	0	1	13	26	12	0	0	.235	.345	.309	.654	.074	.272	15	7	.296	85	-3	+0	+0	+3	+5	0.5
2024	35	AAA	Durham Bulls	179	165	36	5	1	4	9	41	4	0	0	.218	.275	.333	.609	.115	.264	23	5	.266	62	-8	+0	-0	+3	+5	0.0
2025	36	AAA	Scranton/Wilkes-Barre RailRiders	45	44	13	5	0	1	1	10	0	0	0	.295	.311	.477	.788	.182	.364	22	2	.327	108	+0	+0	-1	+1	+1	0.2
▸ 2026 Season
2026	37	MLB	NYY	108	97	23	5	0	2	7	22	3	1	0	.237	.308	.351	.659	.113	.281	20	6	.297	86	-2	+0	-0	+2	+3	0.3
▸ Career Totals (MLE all levels + projections)
Career	—			4460	4130	968	176	13	75	203	810	82	11	13	.234	.284	.338	.622	.103	.272	18	5	.272	66	-169	-3	-14	+80	+126	2.1
/ 162G	—			650	602	142	26	2	11	30	118	12	2	2	.236	.286	.341	.627	.105	.273	18	5	.272	66	-25	-0	-2	+12	+18	0.3

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
2010	21	A	West Michigan Whitecaps	217	188	48	10	1	1	23	22	5	2	2	.255	.352	.335	.687	.080	.285	10	11	.317	101	+0	-0	—	—	+6	0.6
2011	22	A+	Lakeland Flying Tigers	155	146	32	6	0	3	5	17	0	0	0	.219	.245	.322	.567	.103	.223	11	3	.247	47	-9	+0	—	—	+4	-0.5
2011	22	A	West Michigan Whitecaps	317	284	86	16	1	7	24	39	5	2	2	.303	.367	.440	.808	.137	.331	12	8	.357	132	+11	-0	—	—	+9	2.0
2011	22	INTL	Salt River Rafters	50	49	19	5	0	0	1	2	0	0	0	.388	.400	.490	.890	.102	.404	4	2	.396	161	+3	+0	—	—	+1	0.5
2012	23	MLB	Miami Marlins	113	100	29	8	0	3	13	16	0	1	1	.290	.372	.460	.832	.170	.321	14	12	.371	142	+5	-0	-4	+9	+3	1.4
2012	23	AAA	New Orleans Zephyrs	193	182	52	8	0	2	8	34	2	0	0	.286	.323	.363	.686	.077	.340	18	4	.308	94	-1	+0	—	—	+5	0.4
2012	23	AA	Erie SeaWolves	195	180	56	16	1	3	12	17	2	0	3	.311	.361	.461	.822	.150	.329	9	6	.363	136	+8	-1	—	—	+6	1.3
2013	24	MLB	Miami Marlins	243	223	47	9	0	1	15	53	2	0	0	.211	.267	.265	.531	.054	.267	22	6	.243	44	-15	+0	-7	+6	+7	-1.0
2013	24	AAA	New Orleans Zephyrs	74	70	13	3	0	1	3	8	0	0	0	.186	.219	.271	.491	.086	.197	11	4	.219	25	-6	+0	—	—	+2	-0.4
2014	25	AAA	New Orleans Zephyrs	392	364	93	15	2	4	20	61	1	0	0	.255	.296	.341	.637	.085	.291	16	5	.282	74	-11	+0	—	—	+11	-0.0
2015	26	MLB	Chicago White Sox	36	33	4	1	0	1	2	8	0	0	0	.121	.171	.242	.414	.121	.120	22	6	.183	-2	-4	+0	-2	+4	+1	-0.0
2015	26	AAA	Charlotte Knights	94	86	25	3	0	4	5	17	0	0	0	.291	.330	.465	.795	.174	.309	18	5	.340	118	+2	+0	—	—	+3	0.5
2015	26	AA	Birmingham Barons	121	117	38	6	1	4	3	14	1	0	1	.325	.347	.496	.843	.171	.343	12	2	.371	142	+6	-0	—	—	+3	0.9
2016	27	AAA	Tacoma Rainiers	315	303	74	13	1	14	8	53	2	0	1	.244	.268	.432	.701	.188	.253	17	3	.305	92	-3	-0	—	—	+9	0.6
2016	27	INTL	Gigantes del Cibao	39	35	4	1	0	0	3	4	0	0	0	.114	.184	.143	.327	.029	.125	10	8	.156	-22	-5	+0	—	—	+1	-0.4
2017	28	MLB	Chicago White Sox	36	31	9	1	0	2	3	14	2	0	0	.290	.389	.516	.905	.226	.467	39	8	.401	165	+3	+0	+0	+6	+1	1.0
2017	28	AAA	Charlotte Knights	321	287	84	11	1	10	20	39	9	3	3	.293	.358	.443	.800	.150	.305	12	6	.353	128	+10	-1	—	—	+9	1.9
2018	29	AAA	Columbus Clippers	246	229	48	11	0	2	8	49	6	0	0	.210	.255	.284	.539	.074	.254	20	3	.244	45	-15	+0	—	—	+7	-0.9
2019	30	AAA	Lehigh Valley IronPigs	272	236	74	13	2	6	32	29	4	0	0	.314	.404	.462	.866	.148	.338	11	12	.388	155	+17	+0	—	—	+8	2.5
2019	30	INTL	Toros del Este	36	34	6	0	0	0	2	9	0	0	0	.176	.222	.176	.399	.000	.240	25	6	.190	3	-4	+0	—	—	+1	-0.3
2021	32	MLB	New York Yankees	21	20	3	1	0	0	0	4	1	0	0	.150	.190	.200	.390	.050	.188	19	0	.182	-2	-2	+0	-1	+5	+1	0.2
2021	32	AAA	Scranton/Wilkes-Barre RailRiders	264	228	66	9	1	9	20	41	14	1	0	.289	.382	.456	.838	.167	.317	16	8	.374	144	+13	+0	—	—	+7	2.1
2022	33	AAA	Scranton/Wilkes-Barre RailRiders	201	182	49	10	1	1	11	32	7	1	0	.269	.335	.352	.687	.082	.320	16	5	.313	97	-1	+0	—	—	+6	0.5
2023	34	AAA	Buffalo Bisons	177	144	39	10	0	1	18	21	12	0	0	.271	.397	.361	.758	.090	.304	12	10	.348	125	+5	+0	—	—	+5	1.0
2024	35	AAA	Durham Bulls	179	160	40	6	1	5	12	35	4	0	0	.250	.315	.394	.708	.144	.289	20	7	.315	99	-0	+0	—	—	+5	0.5
2025	36	AAA	Scranton/Wilkes-Barre RailRiders	45	43	15	6	0	1	2	8	0	0	0	.349	.378	.558	.936	.209	.412	18	4	.409	171	+4	+0	—	—	+1	0.5
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			449	407	92	20	0	7	33	95	5	1	1	.226	.292	.327	.619	.101	.275	21	7	.280	73	-14	-0	-13	+31	+13	1.7

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
Rob Brantly (OGILVIE)	37	—	—	—	—	.233/.300/.355	.123	.281	2	1	21%	6%	86	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Hector Paez 2015 · AAA	37	45	45	48→40	41	.224/.262/.342	.119	.243	14	5	16%	3%	66	-0.6	.223/.257/.314	.091	.252	9	5	15%	3%	55	-1.4	.220/.248/.288	.069	.249	6	2	15%	2%	42	-0.7
✕Adan Munoz 2015 · AAA	37	51→55	44→55	43→45	41	.251/.284/.366	.115	.293	12	4	19%	4%	80	+0.4	.238/.274/.345	.107	.285	11	3	20%	4%	70	-0.3	.229/.267/.325	.096	.272	11	1	20%	4%	61	-0.6
✕Greg Dobbs 2014 · MLB	36	53→56	42→55	44→50	47	.255/.305/.357	.102	.295	9	5	17%	6%	86	+0.8	.228/.281/.331	.103	.277	10	6	21%	6%	69	-0.4	.192/.217/.255	.063	.247	7	0	25%	3%	17	-1.0
✕Iker Franco 2019 · AAA	38	49→47	45→50	46→40	45	.243/.296/.360	.117	.300	14	7	24%	7%	84	+0.6	.212/.257/.343	.131	.269	16	9	27%	5%	63	-0.8	.169/.209/.280	.111	.200	17	0	26%	5%	24	-0.7
✕Jesus Alberto Vega 2019 · AAA	37	44	44→50	48→40	39	.217/.265/.330	.113	.292	12	6	30%	5%	63	-0.8	.209/.257/.341	.132	.303	16	8	35%	5%	63	-0.9	.171/.216/.284	.113	.249	17	3	38%	5%	27	-1.0
✕Curtis Pride 2005 · MLB	36	48	46→45	51→55	43	.239/.295/.372	.133	.300	13	12	24%	6%	87	+0.8	.242/.317/.378	.136	.327	12	18	27%	10%	97	+1.5	.234/.314/.359	.125	.326	11	21	29%	10%	89	+0.5
✕Issmael Salas 2019 · AAA	37	49→51	45→50	44→50	47	.241/.289/.362	.121	.263	12	6	14%	5%	82	+0.5	.245/.285/.380	.135	.268	16	6	15%	5%	85	+0.7	.252/.287/.386	.133	.270	16	1	14%	4%	86	+0.5
✕Jesus Rivera 2015 · AAA	37	48→54	40	45→40	43	.232/.271/.318	.086	.276	7	5	19%	5%	62	-0.9	.245/.295/.316	.071	.293	4	5	17%	6%	71	-0.3	.276/.323/.333	.057	.323	2	4	14%	6%	87	+0.3
✕Jonathan Aceves 2016 · AAA	38	44	47→55	47→30	45	.225/.283/.355	.130	.266	16	3	22%	6%	78	+0.2	.244/.309/.374	.130	.293	15	4	21%	7%	93	+1.3	.247/.317/.377	.130	.296	15	2	21%	8%	95	+0.7
✕Keith Lockhart 2002 · MLB	37	50	41→45	46→45	56	.239/.308/.339	.100	.258	8	7	11%	9%	83	+0.6	.228/.299/.351	.123	.255	11	4	15%	9%	82	+0.5	.218/.292/.343	.125	.245	11	0	16%	9%	65	-0.3
✕Said Gutierrez 2016 · AAA	36	45	46→50	48→40	44	.228/.271/.344	.117	.255	15	5	18%	5%	69	-0.4	.239/.276/.343	.104	.283	14	4	20%	4%	71	-0.3	.258/.291/.343	.085	.307	13	0	20%	3%	74	-0.0
✕Tom Prince 2002 · MLB	37	46	48→50	49→45	48	.233/.303/.375	.142	.267	16	9	20%	7%	92	+1.2	.232/.311/.388	.156	.259	18	9	18%	8%	98	+1.6	.215/.311/.377	.162	.240	16	4	18%	9%	94	+0.3
✕Dioner Navarro 2019 · MLB	35	44→54	46→50	45	48	.220/.282/.348	.128	.260	14	7	22%	8%	75	-0.0	.225/.302/.343	.118	.278	12	8	22%	9%	82	+0.5	.182/.269/.232	.050	.233	5	0	22%	10%	38	-0.5
✕Francisco Valdez 2006 · AAA	37	49	47→45	41→30	42	.246/.301/.377	.131	.273	15	6	17%	4%	92	+1.2	.259/.301/.359	.100	.287	10	5	13%	4%	85	+0.7	.283/.322/.360	.077	.312	6	2	11%	3%	91	+0.4
✕Carlos M. Rodriguez 2019 · AAA	37	46→44	47→55	45→40	36	.229/.270/.365	.136	.323	15	4	33%	5%	74	-0.1	.216/.267/.345	.129	.332	14	5	37%	6%	68	-0.5	.192/.248/.309	.117	.304	14	0	40%	6%	46	-1.2
✕Orlando Palmeiro 2006 · MLB	37	54	43→40	46→50	56	.257/.328/.373	.116	.275	9	8	11%	8%	101	+1.8	.245/.314/.348	.103	.271	7	6	12%	8%	89	+0.9	.239/.312/.288	.049	.269	0	0	10%	9%	67	-0.1
✕Hector Hurtado 2008 · AAA	37	50	44→45	41→30	38	.247/.285/.358	.111	.301	12	3	23%	3%	79	+0.3	.224/.261/.311	.087	.284	9	4	24%	3%	56	-1.3	.220/.252/.277	.057	.276	6	0	22%	2%	38	-0.7
✕Angel Berroa 2014 · AAA	37	51→56	48→50	46→50	43	.253/.298/.399	.146	.300	15	7	21%	5%	95	+1.4	.255/.298/.417	.162	.299	20	7	22%	4%	101	+1.8	.256/.298/.422	.166	.296	23	5	22%	3%	98	+0.8
✕Jamie Burke 2009 · MLB	37	51→48	43→45	40→30	47	.247/.292/.354	.108	.268	10	4	13%	5%	80	+0.4	.220/.273/.313	.093	.268	8	6	20%	6%	62	-0.9	.195/.246/.260	.065	.249	4	2	22%	5%	35	-0.7
✕Benito Santiago 2002 · MLB	37	52→56	44→50	44→45	47	.253/.296/.375	.122	.285	11	7	16%	6%	87	+0.8	.267/.311/.415	.148	.297	15	5	15%	6%	105	+2.1	.274/.318/.431	.157	.301	17	3	15%	6%	106	+1.4

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)