René Pinto — OGILVIE

René PintoC Lehigh Valley IronPigs

Age 29 R/R 5'10" / 195 lbs AAA HR +11%H +4% Svc 4.000 · Ctrl thru 2027 peak 0.4 · 2026

wRC+†70

AVG/OBP/SLG.205 / .252 / .385

PA303

HR13

K%37

BB%5

MLB%10%

Scouting · now → future

HIT

45→45

PWR

60→60

SPD

45→45

EYE

39↘35

trajectory · 10 yrs

0.5peak

2026

Contract

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

Status Arb-2

MLB Debut 2022

Service 4.000 yrs.days

Team Control Through 2027

First FA Year 2028

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-2	$2M	+0.4	$2M	+$0.1M
2027	Arb-3	$2M	+0.3	$1M	+$0.0M (cut)
Totals		$3M		$3M	+$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
2014	17	ROK	VSL Rays	159	150	29	6	0	1	6	36	2	4	0	.193	.234	.253	.488	.060	.246	23	4	.212	20	-14	+1	+0	+3	+5	-0.6
2015	18	ROK	VSL Rays	227	208	50	10	5	5	10	42	4	5	4	.240	.288	.409	.697	.168	.271	19	4	.289	79	-5	-1	+0	+4	+6	0.5
2016	19	ROK	2 teams	183	173	32	7	0	7	5	61	3	0	1	.185	.221	.347	.568	.162	.234	33	3	.235	38	-13	-0	+0	+3	+5	-0.5
2017	20	A	2 teams	310	289	72	13	1	2	14	55	3	1	0	.249	.291	.322	.613	.073	.297	18	5	.271	66	-12	+0	+0	+6	+9	0.2
2018	21	A+	2 teams	338	306	80	24	1	1	20	75	1	1	1	.261	.309	.356	.665	.095	.332	22	6	.290	80	-8	-0	+0	+6	+10	0.8
2019	22	AA	Montgomery Biscuits	287	267	50	12	0	5	15	90	4	1	2	.187	.241	.288	.530	.101	.260	31	5	.237	40	-20	-1	+0	+5	+8	-0.7
2021	24	AAA	3 teams	411	389	85	16	0	17	16	153	5	4	2	.219	.259	.391	.649	.172	.309	37	4	.278	71	-14	+0	+0	+7	+12	0.5
2022	25	AAA	3 teams	417	397	83	24	1	14	17	143	2	2	0	.209	.245	.380	.626	.171	.286	34	4	.271	65	-16	+0	+1	+7	+12	0.5
2023	26	AAA	3 teams	369	347	76	17	0	17	12	124	4	1	0	.219	.253	.415	.668	.196	.278	34	3	.280	73	-11	+0	+2	+7	+10	0.8
2024	27	AAA	3 teams	390	358	58	9	0	14	22	164	6	0	0	.162	.223	.304	.527	.142	.240	42	6	.231	35	-29	+0	-1	+7	+11	-1.2
2025	28	AAA	2 teams	292	274	58	16	0	13	15	112	1	2	0	.212	.255	.412	.668	.201	.298	38	5	.282	74	-9	+0	+0	+5	+8	0.5
▸ 2026 Season (actual · ROS · total)
2026	29	AAA	Lehigh Valley IronPigs	16	14	2	1	0	0	1	5	1	0	0	.143	.250	.214	.464	.071	.222	31	6	.183	-2	-2	+0	+0	+0	+0	-0.1
ROS	29	MLB	PHI	287	268	55	12	0	12	15	107	2	2	1	.205	.253	.384	.637	.179	.287	37	5	.282	74	-9	+0	+1	+5	+8	0.5
TOT	29	MLB	PHI	303	282	57	13	0	12	16	112	3	2	1	.202	.252	.376	.628	.174	.283	37	5	.277	70	-10	+0	+1	+5	+9	0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB 20%	PHI	330	308	62	14	0	13	17	124	2	2	0	.201	.248	.373	.621	.172	.285	38	5	.279	71	-11	+0	-2	+6	+9	0.4
2028	31	MLB 33%	PHI	306	285	56	12	0	12	16	116	2	0	0	.196	.244	.365	.609	.168	.284	38	5	.275	68	-11	+0	-2	+5	+9	0.1
2029	32	MLB 43%	PHI	278	259	51	11	0	11	15	107	2	0	0	.197	.246	.367	.613	.170	.282	38	5	.270	65	-11	+0	-3	+5	+8	-0.1
2030	33	MLB 52%	PHI	242	225	43	9	0	9	13	95	2	0	0	.191	.242	.351	.593	.160	.280	39	5	.264	60	-11	+0	-4	+4	+7	-0.4
2031	34	MLB 64%	PHI	196	183	34	7	0	7	10	79	1	0	0	.186	.232	.339	.571	.153	.277	40	5	.257	55	-10	+0	-5	+4	+6	-0.6
▸ Career Totals (MLE all levels + projections)
Career	—			5022	4686	974	219	8	160	238	1683	46	25	11	.208	.253	.360	.614	.153	.282	34	5	.267	63	-212	+1	-12	+90	+142	0.8
/ 162G	—			650	607	126	28	1	21	31	218	6	3	1	.208	.253	.361	.614	.153	.282	34	5	.267	63	-27	+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
2014	17	ROK	VSL Rays	159	146	38	9	0	1	10	25	2	4	0	.260	.316	.342	.659	.082	.306	16	6	.298	86	-2	+1	—	—	+5	0.3
2015	18	ROK	VSL Rays	227	201	65	14	7	6	17	29	4	5	4	.323	.387	.552	.940	.229	.345	13	7	.401	165	+17	-1	—	—	+6	2.3
2016	19	ROK	Princeton Rays	161	149	39	9	0	8	7	38	3	0	0	.262	.308	.483	.791	.221	.295	24	4	.343	121	+4	+0	—	—	+5	0.8
2016	19	INTL	Navegantes del Magallanes	22	20	4	1	0	0	2	4	0	0	1	.200	.273	.250	.523	.050	.250	18	9	.245	46	-1	-0	—	—	+1	-0.1
2017	20	A	Bowling Green Hot Rods	293	269	76	16	2	2	17	41	3	1	0	.283	.332	.379	.711	.097	.322	14	6	.316	100	+0	+0	—	—	+8	0.9
2017	20	ROK	GCL Rays	17	14	6	1	0	1	3	1	0	0	0	.429	.529	.714	1.244	.286	.417	6	18	.534	267	+3	+0	—	—	+0	0.4
2018	21	A+	Charlotte Stone Crabs	280	246	74	21	1	1	23	43	1	1	1	.301	.363	.407	.769	.106	.348	15	8	.334	114	+4	-0	—	—	+8	1.2
2018	21	INTL	Navegantes del Magallanes	58	53	11	2	0	2	4	9	0	0	0	.208	.263	.358	.622	.151	.214	16	7	.273	67	-2	+0	—	—	+2	-0.1
2019	22	AA	Montgomery Biscuits	287	260	61	16	0	5	22	68	4	1	2	.235	.304	.354	.658	.119	.298	24	8	.298	86	-5	-1	—	—	+8	0.3
2021	24	AAA	Durham Bulls	211	201	60	11	0	12	7	58	2	2	1	.299	.329	.532	.861	.234	.364	27	3	.374	144	+11	+0	—	—	+6	1.7
2021	24	AA	Montgomery Biscuits	171	153	37	9	0	8	15	56	3	2	1	.242	.322	.458	.779	.216	.326	33	9	.345	122	+4	+0	—	—	+5	0.9
2021	24	INTL	Leones del Escogido	29	26	9	0	0	1	3	6	0	0	0	.346	.414	.462	.875	.115	.421	21	10	.394	159	+2	+0	—	—	+1	0.3
2022	25	MLB	Tampa Bay Rays	83	80	17	3	0	2	2	35	1	0	0	.212	.241	.325	.566	.113	.349	42	2	.253	52	-5	+0	+1	+7	+2	0.7
2022	25	AAA	Durham Bulls	306	282	75	26	2	14	22	82	1	1	0	.266	.321	.521	.843	.255	.326	27	7	.365	137	+13	+0	—	—	+9	2.2
2022	25	INTL	Leones del Escogido	28	24	5	0	0	0	4	10	0	1	0	.208	.321	.208	.530	.000	.357	36	14	.261	58	-1	+0	—	—	+1	-0.0
2023	26	MLB	Tampa Bay Rays	105	103	26	3	0	6	2	34	0	0	0	.252	.267	.456	.723	.204	.317	32	2	.315	100	-0	+0	+2	+7	+3	1.2
2023	26	AAA	Durham Bulls	160	146	37	12	0	9	10	46	2	1	0	.253	.310	.521	.831	.267	.301	29	6	.357	131	+6	+0	—	—	+5	1.1
2023	26	INTL	Navegantes del Magallanes	104	93	23	7	0	4	5	29	2	0	0	.247	.300	.452	.752	.204	.297	28	5	.319	102	+0	+0	—	—	+3	0.3
2024	27	MLB	Tampa Bay Rays	49	42	9	3	0	2	4	18	1	0	0	.214	.298	.429	.726	.214	.304	37	8	.309	95	-0	+0	-1	+7	+1	0.7
2024	27	AAA	Durham Bulls	230	209	40	5	0	11	16	84	3	0	0	.191	.259	.373	.632	.182	.250	37	7	.280	72	-7	+0	—	—	+7	-0.1
2024	27	INTL	Leones del Caracas	111	102	20	6	0	2	7	33	2	0	0	.196	.261	.314	.575	.118	.269	30	6	.262	59	-5	+0	—	—	+3	-0.2
2025	28	AAA	Buffalo Bisons	253	233	61	20	0	12	18	80	0	2	0	.262	.315	.502	.817	.240	.343	32	7	.354	129	+8	+0	—	—	+7	1.6
2025	28	INTL	Leones del Caracas	39	37	8	1	1	2	1	14	1	0	0	.216	.256	.459	.716	.243	.286	36	3	.311	96	-0	+0	—	—	+1	0.1
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			237	225	52	9	0	10	8	87	2	0	0	.231	.264	.404	.668	.173	.326	37	3	.292	82	-5	+0	+2	+21	+7	2.6

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
René Pinto (OGILVIE)	29	45	60	45	35	.205/.252/.385	.180	.287	13	2	37%	5%	74	-0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Brian O'Keefe 2022 · AAA	29	41→42	52→55	44→40	41	.216/.275/.373	.157	.293	22	5	34%	7%	79	+0.3	.211/.270/.375	.164	.278	21	4	31%	7%	78	+0.2	.198/.262/.368	.171	.244	22	1	29%	7%	69	-0.2
✕Andrew Young 2022 · MLB	28	42→46	56→55	47→40	38	.217/.299/.412	.195	.311	23	5	36%	6%	101	+1.8	.205/.283/.364	.159	.324	19	7	40%	8%	81	+0.4	.170/.256/.306	.137	.263	18	4	40%	8%	51	-1.0
✕Zach Green 2022 · MLB	28	39→43	54→60	44→40	37	.198/.271/.374	.176	.327	23	4	44%	8%	79	+0.3	.196/.253/.351	.155	.301	18	5	39%	6%	65	-0.7	.172/.225/.332	.160	.247	19	1	38%	5%	46	-1.3
✕Brandon Waring 2014 · AAA	28	35→41	54→55	45→40	37	.194/.259/.369	.175	.277	23	2	38%	6%	72	-0.2	.189/.254/.341	.152	.324	18	5	45%	6%	63	-0.9	.157/.225/.298	.141	.292	16	2	49%	6%	37	-1.8
✕Eric Haase 2021 · MLB	28	36→41	55→65	47→40	35	.200/.252/.381	.181	.285	24	5	39%	6%	72	-0.2	.232/.285/.425	.193	.302	27	5	31%	7%	97	+1.5	.228/.282/.402	.174	.289	24	4	29%	7%	87	+0.5
✕Kyle Garlick 2021 · MLB	29	40→48	55→60	48→40	34	.213/.259/.398	.185	.306	24	5	38%	5%	79	+0.3	.226/.283/.417	.191	.304	25	6	33%	6%	95	+1.4	.204/.270/.383	.179	.278	25	2	36%	7%	79	+0.1
✕Ryan Casteel 2021 · AA	30	42→47	55	48→40	39	.222/.275/.406	.185	.304	24	4	35%	7%	89	+0.9	.209/.266/.388	.179	.275	24	4	33%	6%	79	+0.3	.181/.241/.366	.185	.218	28	0	33%	6%	60	-0.4
✕Mike Olt 2017 · MLB	28	39→41	51→55	41→40	41	.206/.272/.362	.156	.295	20	4	36%	8%	76	+0.0	.203/.272/.344	.141	.296	17	3	35%	8%	70	-0.3	.186/.261/.327	.141	.266	17	0	35%	8%	58	-0.7
✕Cameron Rupp 2019 · MLB	30	41→50	53→55	48→30	43	.215/.281/.388	.172	.297	21	3	34%	8%	85	+0.7	.201/.274/.353	.152	.294	19	5	36%	8%	74	-0.1	.156/.242/.290	.133	.225	17	0	37%	7%	42	-0.8
✕Brendan Katin 2011 · AAA	28	38→48	56→60	50→45	35	.205/.264/.395	.189	.287	24	5	37%	5%	81	+0.4	.217/.279/.418	.201	.299	27	6	36%	6%	93	+1.3	.163/.222/.419	.255	.201	37	0	42%	6%	67	-0.1
✕Clint Coulter 2022 · AAA	29	42→43	53→50	48→40	36	.218/.269/.385	.167	.317	22	8	38%	6%	79	+0.3	.223/.287/.377	.154	.271	18	7	24%	5%	85	+0.7	.214/.287/.361	.147	.248	16	5	20%	5%	77	+0.1
✕Cody Thomas 2023 · MLB	28	42→47	54→60	49→45	37	.216/.270/.399	.183	.322	22	5	39%	6%	84	+0.6	.236/.286/.408	.172	.306	20	7	29%	6%	92	+1.2	.240/.291/.424	.184	.300	21	5	27%	6%	95	+1.2
✕Pete Laforest 2007 · MLB	29	42	56→60	47→40	34	.220/.265/.407	.187	.318	25	7	38%	5%	84	+0.6	.210/.286/.403	.193	.279	28	6	34%	9%	92	+1.2	.184/.277/.396	.211	.212	35	3	33%	11%	84	+0.4
✕Mark Saccomanno 2009 · AAA	29	42→46	53→55	43→40	39	.224/.260/.393	.168	.267	22	4	26%	4%	78	+0.2	.220/.260/.354	.134	.268	15	4	24%	4%	66	-0.6	.211/.252/.330	.119	.258	13	2	24%	4%	54	-1.2
✕Jaylin Davis 2022 · MLB	28	42→47	57→50	47→45	41	.222/.291/.413	.191	.301	26	10	34%	7%	97	+1.5	.198/.274/.336	.138	.299	16	7	37%	8%	69	-0.4	.182/.266/.311	.129	.275	15	4	37%	9%	57	-0.8
✕Seth Bynum 2010 · AAA	29	43→44	50→55	44→50	37	.224/.264/.373	.149	.296	18	6	31%	5%	74	-0.1	.211/.258/.354	.143	.292	17	11	33%	6%	66	-0.6	.192/.245/.321	.129	.269	15	12	34%	6%	50	-1.1
✕Bryce Brentz 2019 · MLB	30	42→50	54→60	47→40	39	.224/.269/.401	.177	.290	23	4	31%	6%	84	+0.6	.209/.273/.386	.177	.309	23	5	38%	7%	82	+0.5	.174/.252/.345	.171	.260	23	0	41%	8%	59	-0.6
✕Mitch Nay 2022 · AAA	28	40→50	53→50	45→30	44	.214/.280/.389	.175	.274	22	4	30%	8%	85	+0.7	.201/.265/.340	.139	.301	17	6	37%	7%	66	-0.6	.137/.192/.229	.092	.217	14	0	43%	5%	3	-1.2
✕J.P. Arencibia 2016 · MLB	30	34→44	57→60	42→30	33	.202/.236/.385	.182	.249	27	2	32%	3%	66	-0.6	.205/.236/.358	.153	.273	21	4	33%	3%	59	-1.1	.185/.209/.309	.124	.248	18	1	34%	2%	30	-1.9
✕Ray Sadler 2009 · AAA	28	39→43	53→55	46→50	40	.213/.266/.384	.171	.267	21	9	29%	6%	79	+0.3	.202/.254/.348	.146	.257	18	8	29%	5%	64	-0.8	.167/.221/.285	.118	.208	16	6	29%	5%	31	-2.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)