Frank Rodriguez — OGILVIE

Frank RodriguezC Great Lakes Loons

Age 24 R/R 6'0" / 197 lbs A+ HR +15%K -3% Svc 0.0 · Ctrl thru 2035 peak 0.8 · 2029

wRC+†64

AVG/OBP/SLG.209 / .274 / .317

PA190

HR3

K%27

BB%7

MLB%0%

Scouting · now → future

HIT

38→38

PWR

33→33

SPD

43→43

EYE

43→43

trajectory · 10 yrs

0.8peak

2029

Contract

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Arb-2	$0.9M	+0.8	$4M	+$3M
2031	Arb-3	$0.9M	+0.6	$3M	+$2M
2032	Ext / FA-deal	$0.9M	+0.5	$2M	+$1M
2033	Ext / FA-deal	$0.4M	+0.2	$1.0M	+$0.6M
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$8M	+$4M

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
2019	17	ROK	DSL Dodgers Shoemaker	148	123	15	3	0	0	16	50	7	0	0	.122	.260	.146	.407	.024	.200	34	11	.194	7	-16	+0	+0	+3	+4	-0.9
2021	19	ROK	ACL Dodgers	106	95	17	2	1	1	6	28	3	0	0	.179	.250	.253	.503	.074	.235	26	6	.213	21	-9	+0	+0	+2	+3	-0.5
2022	20	ROK	ACL Dodgers	85	76	13	3	0	2	5	36	2	0	0	.171	.241	.289	.530	.118	.282	42	6	.219	26	-7	+0	+0	+2	+2	-0.3
2023	21	A+	Great Lakes Loons	156	144	20	5	0	3	6	45	4	0	0	.139	.195	.236	.431	.097	.173	29	4	.191	4	-17	+0	+0	+3	+4	-1.0
2024	22	A+	Great Lakes Loons	115	107	15	2	0	0	5	36	2	1	0	.140	.193	.159	.352	.019	.208	31	4	.168	-13	-15	+0	+0	+2	+3	-0.9
2025	23	A+	3 teams	236	215	40	8	1	3	17	62	3	0	0	.186	.255	.274	.530	.088	.247	26	7	.230	34	-18	+0	+0	+4	+7	-0.7
▸ 2026 Season
2026	24	MLB	LAD	190	173	36	7	1	3	13	51	2	3	1	.208	.271	.312	.583	.104	.276	27	7	.269	64	-8	+0	+0	+3	+5	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 10%	LAD	274	249	53	10	1	5	20	72	3	4	1	.213	.279	.321	.601	.108	.279	26	7	.278	71	-9	+0	+0	+5	+8	0.4
2028	26	MLB 25%	LAD	340	307	68	13	2	7	26	89	4	5	1	.221	.291	.345	.636	.124	.280	26	8	.283	75	-10	+1	+0	+6	+10	0.7
2029	27	MLB 43%	LAD	370	334	74	14	2	8	29	96	4	5	1	.222	.292	.347	.639	.126	.281	26	8	.286	77	-10	+1	+0	+7	+10	0.8
2030	28	MLB 52%	LAD	388	350	77	15	2	8	31	101	4	5	1	.220	.291	.343	.634	.123	.281	26	8	.285	77	-10	+1	-1	+7	+11	0.8
2031	29	MLB 63%	LAD	390	352	77	15	2	8	31	103	4	5	1	.219	.289	.341	.630	.122	.280	26	8	.283	75	-11	+1	-1	+7	+11	0.6
2032	30	MLB 73%	LAD	391	353	77	15	2	8	31	104	4	5	0	.218	.289	.340	.629	.122	.279	27	8	.280	73	-12	+1	-2	+7	+11	0.5
2033	31	MLB 81%	LAD	369	333	70	14	1	7	29	100	4	3	0	.210	.281	.321	.603	.111	.277	27	8	.276	70	-13	+1	-3	+7	+10	0.2
2034	32	MLB 88%	LAD	342	308	63	12	1	6	27	95	4	3	0	.205	.277	.308	.586	.104	.276	28	8	.272	66	-13	+1	-4	+6	+10	-0.0
2035	33	MLB 93%	LAD	305	275	56	11	1	5	24	86	3	2	0	.204	.275	.305	.580	.102	.274	28	8	.266	62	-13	+0	-4	+5	+9	-0.3
2036	34	MLB	LAD	258	233	47	9	1	4	20	75	3	2	0	.202	.273	.300	.574	.099	.272	29	8	.260	57	-12	+0	-5	+5	+7	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			4463	4027	818	158	18	78	336	1229	60	43	6	.203	.274	.309	.584	.106	.269	28	8	.264	60	-202	+6	-20	+80	+126	-0.9
/ 162G	—			650	587	119	23	3	11	49	179	9	6	1	.203	.275	.308	.583	.106	.269	28	8	.264	60	-29	+1	-3	+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	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2019	17	ROK	DSL Dodgers Shoemaker	148	114	20	4	0	0	25	35	7	0	.175	.356	.211	.567	.035	.247	24	17	.285	76	-4	+0	—	—	+4	0.0
2021	19	ROK	ACL Dodgers	106	91	22	3	1	1	10	19	3	0	.242	.337	.330	.666	.088	.288	18	9	.303	90	-1	+0	—	—	+3	0.2
2022	20	ROK	ACL Dodgers	85	72	17	4	0	2	9	25	2	0	.236	.337	.375	.712	.139	.326	29	11	.318	101	+0	+0	—	—	+2	0.3
2023	21	A+	Great Lakes Loons	156	141	23	6	0	4	9	36	4	0	.163	.234	.291	.525	.128	.184	23	6	.237	40	-11	+0	—	—	+4	-0.6
2024	22	A+	Great Lakes Loons	115	105	19	3	0	0	7	28	2	1	.181	.246	.210	.455	.029	.244	24	6	.215	22	-10	+0	—	—	+3	-0.7
2025	23	AA	Tulsa Drillers	53	48	9	1	0	0	4	10	0	0	.188	.250	.208	.458	.021	.237	19	8	.213	22	-5	+0	—	—	+2	-0.3
2025	23	A+	Great Lakes Loons	144	124	29	7	1	3	17	30	2	0	.234	.333	.379	.712	.145	.286	21	12	.323	105	+1	+0	—	—	+4	0.5
2025	23	INTL	Gigantes del Cibao	39	35	3	1	0	1	3	8	1	0	.086	.179	.200	.379	.114	.077	21	8	.182	-2	-5	+0	—	—	+1	-0.3

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
Frank Rodriguez (OGILVIE)	24	38	33	43	43	.209/.274/.317	.108	.276	3	3	27%	7%	64	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Bryan Holaday 2012 · AA	24	42	41→45	48→40	41	.206/.264/.302	.095	.280	9	7	29%	6%	55	-1.4	.216/.266/.302	.086	.273	7	5	22%	5%	56	-1.3	.217/.286/.341	.124	.252	13	2	19%	7%	71	-0.1
✕Ramón Rodríguez 2022 · AA	23	43	43→40	47→45	41	.215/.260/.324	.109	.274	11	5	26%	5%	59	-1.1	.223/.275/.317	.094	.260	10	8	18%	6%	63	-0.8	.219/.280/.315	.096	.240	11	8	14%	7%	64	-0.3
✕Dante Bichette Jr. 2017 · AA	24	45→48	41→40	43→40	45	.220/.277/.319	.100	.285	9	3	25%	7%	65	-0.7	.233/.291/.327	.094	.295	8	5	22%	7%	72	-0.2	.248/.301/.326	.078	.306	6	2	20%	7%	73	-0.1
✕Ronnie Richardson 2014 · A	24	44	42→40	48→50	45	.213/.275/.318	.106	.281	8	8	26%	7%	64	-0.8	.216/.308/.313	.097	.284	6	10	24%	9%	78	+0.2	.210/.315/.303	.093	.277	5	10	23%	10%	77	+0.1
✕Alika Williams 2023 · AAA	24	43→44	42→45	44→45	43	.211/.265/.309	.098	.267	10	7	25%	6%	57	-1.2	.221/.276/.328	.107	.282	10	7	24%	6%	67	-0.5	.227/.280/.331	.104	.286	10	6	23%	6%	66	-0.4
✕Alex De Goti 2019 · AAA	24	44→46	43→45	43→50	42	.217/.272/.328	.112	.277	11	8	26%	6%	66	-0.6	.218/.274/.335	.117	.281	11	7	26%	6%	68	-0.5	.206/.275/.312	.106	.271	9	6	26%	8%	61	-0.9
✕Dusty Brown 2007 · AA	25	42	43→45	44→30	43	.208/.262/.315	.107	.268	11	5	26%	6%	57	-1.2	.224/.282/.343	.119	.299	12	3	28%	7%	73	-0.1	.229/.292/.341	.112	.309	12	0	28%	7%	75	-0.0
✕Quincy McAfee 2022 · AA	24	43	43→45	48→45	49	.208/.299/.326	.118	.272	10	10	26%	9%	78	+0.2	.194/.278/.319	.125	.257	14	8	29%	8%	67	-0.5	.179/.262/.309	.130	.227	16	8	28%	7%	55	-0.8
✕Adam Weisenburger 2014 · AA	25	43	40	41→30	45	.208/.285/.299	.091	.281	7	4	27%	7%	64	-0.8	.217/.296/.306	.089	.280	6	4	23%	8%	70	-0.3	.212/.296/.290	.078	.266	5	2	20%	8%	65	-0.4
✕Xorge Carrillo 2013 · A	24	42	43→40	50→30	41	.211/.258/.321	.110	.276	11	8	28%	6%	57	-1.2	.240/.292/.325	.085	.299	7	4	21%	5%	72	-0.2	.242/.299/.328	.086	.289	8	1	18%	5%	74	-0.0
✕Anthony Mulrine 2022 · AAA	24	43	42→40	44→40	42	.208/.284/.310	.102	.286	10	6	29%	6%	67	-0.5	.179/.259/.256	.077	.262	6	5	32%	7%	43	-2.2	.133/.223/.182	.049	.204	3	1	33%	7%	6	-1.5
✕Carlos Ramirez 2013 · AA	25	43	41→40	47→40	45	.209/.278/.308	.098	.265	9	5	24%	7%	63	-0.8	.206/.272/.328	.122	.256	12	7	24%	6%	66	-0.6	.173/.241/.339	.165	.197	19	3	24%	6%	53	-0.5
✕Jose Gil 2011 · AA	24	43	44→45	48→45	39	.214/.255/.327	.113	.272	12	8	26%	4%	58	-1.2	.221/.275/.339	.118	.270	13	7	23%	6%	69	-0.4	.215/.274/.331	.116	.254	13	6	20%	7%	65	-0.3
✕Stuart Turner 2016 · AA	24	43	40	48→45	45	.208/.270/.298	.089	.266	8	7	24%	7%	57	-1.2	.198/.258/.281	.083	.266	7	7	27%	6%	47	-1.9	.180/.240/.249	.069	.248	6	4	28%	6%	30	-1.1
✕Aaron McKeithan 2023 · A	23	45	40	45→40	44	.215/.290/.307	.093	.291	8	4	28%	7%	69	-0.4	.217/.295/.297	.080	.272	8	4	22%	7%	69	-0.4	.202/.287/.263	.061	.244	8	1	19%	7%	57	-0.4
✕Mike Nickeas 2007 · AA	24	43	41→40	44→40	46	.209/.279/.302	.092	.262	8	5	23%	7%	63	-0.9	.200/.266/.275	.075	.260	5	4	24%	7%	50	-1.8	.223/.289/.303	.080	.267	7	1	18%	8%	63	-0.4
✕Chadd Krist 2014 · A	24	43	42→40	43→45	47	.211/.283/.319	.108	.273	9	6	25%	8%	69	-0.4	.191/.249/.289	.098	.272	9	6	31%	6%	46	-2.0	.157/.206/.245	.089	.229	10	3	35%	5%	12	-1.5
✕Vito Friscia 2021 · A	24	43	40→45	49→40	42	.208/.266/.303	.094	.290	7	5	30%	7%	56	-1.3	.211/.293/.327	.116	.322	12	4	35%	10%	75	-0.0	.200/.291/.320	.120	.304	13	2	35%	10%	71	-0.2
✕Cael Brockmeyer 2016 · AA	24	44→40	43→45	43→40	42	.218/.279/.331	.113	.286	11	3	27%	6%	70	-0.3	.203/.259/.316	.113	.285	12	4	32%	5%	57	-1.2	.193/.248/.298	.105	.281	12	3	34%	5%	45	-0.8
✕Jan Vázquez 2015 · AA	24	41	42→40	46→45	39	.206/.262/.303	.097	.286	11	9	31%	6%	55	-1.4	.212/.282/.306	.094	.294	8	8	29%	7%	65	-0.7	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)