Rainer Espinoza — OGILVIE

Rainer EspinozaOF DSL Giants Black

Age 17 R/R 6'1" / 183 lbs ROK HR -15%H -3% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION29 act + 9 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP283

ISO98

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · Contract

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2037	Arb-3	$5M	+0.3	$0.5M	+$0.0M (cut)
Totals		$3M		$4M	+$1.0M

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 these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	16	ROK	DSL Giants Orange	—	132	96	19	3	1	3	31	31	5	5	0	198	417	344	760	146	258	23	23	363	132	+5	+1	—	—	+3	0.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	16	ROK MLE	DSL Giants Orange	—	132	107	14	2	1	2	20	46	5	5	0	131	295	224	520	93	197	35	15	248	54	-7	+1	—	—	+3	-0.3
2025	16	ROK MLE	DSL Giants Orange	—	132	107	14	2	1	2	20	46	5	5	0	131	295	224	520	93	203	35	15	248	54	—	—	—	—	—	—
2025	16	ROK RAW	DSL Giants Orange	—	132	96	19	3	1	3	31	31	5	5	0	198	417	344	760	146	258	23	23	363	54	—	—	—	—	—	—
2025	16	ROK MLE	DSL Giants Orange	—	132	106	14	2	1	2	20	46	5	5	0	132	295	226	522	94	197	35	15	248	54	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	16	ROK MLE	DSL Giants Orange	—	132	106	14	2	1	2	20	46	5	5	0	132	295	226	522	94	197	35	15	248	54	—	—	—	—	—	—
YTD	17	ROK MLE	SF	—	29	27	4	1	0	1	1	16	0	0	0	148	179	296	475	148	273	55	3	162	-4	-4	+0	+0	-0	+1	-0.3
▸ 2026 season
YTD	17	ROK RAW	SF	—	29	26	5	1	0	1	2	11	0	0	0	192	250	346	596	154	267	38	7	258	-4	—	—	—	—	—	—
ROS	17	ROK MLE	SF	0%	9	8	1	0	0	0	1	3	0	0	0	125	222	125	347		288	33	11	272	70	-0	+0	+0	-0	+0	-0.0
TOT	17	ROK MLE	SF	—	38	35	5	1	0	1	2	19	0	0	0	143	189	257	446	114	250	50	5	188	13	-4	+0	+0	-0	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	18	MLB MLE	SF	34%	203	179	38	6	2	3	19	59	3	6	2	212	299	318	617	106	290	29	9	279	75	-6	+0	+0	-1	+4	-0.3
2028	19	MLB MLE	SF	48%	343	303	65	11	2	6	32	97	5	11	3	215	300	323	623	109	292	28	9	287	81	-8	+1	+0	-2	+7	-0.2
2029	20	MLB MLE	SF	54%	452	400	87	15	3	9	42	126	7	14	4	217	303	338	640	120	293	28	9	294	85	-8	+1	+0	-3	+10	0.0
2030	21	MLB MLE	SF	57%	534	470	105	18	4	11	50	147	9	17	4	223	310	349	659	126	294	28	9	298	88	-8	+2	+0	-3	+12	0.2
2031	22	MLB MLE	SF	58%	585	516	116	20	4	13	54	160	10	19	5	225	310	355	665	130	295	27	9	300	89	-7	+2	+0	-4	+13	0.4
2032	23	MLB MLE	SF	58%	607	535	121	21	4	14	57	165	10	20	5	226	312	359	671	133	296	27	9	303	91	-7	+2	+0	-4	+13	0.5
2033	24	MLB MLE	SF	57%	621	548	124	21	4	15	58	169	10	20	5	226	312	361	673	135	297	27	9	304	92	-6	+2	+0	-4	+13	0.6
2034	25	MLB MLE	SF	57%	631	556	127	22	5	15	59	171	11	20	5	228	315	367	682	138	297	27	9	305	93	-5	+2	+0	-4	+14	0.7
2035	26	MLB MLE	SF	57%	637	561	129	22	5	16	60	173	11	21	5	230	316	373	689	143	297	27	9	306	93	-5	+2	+0	-4	+14	0.7
2036	27	MLB MLE	SF	56%	636	559	127	22	4	15	61	173	11	21	5	227	315	361	677	134	297	27	10	306	93	-5	+2	+0	-4	+14	0.7
2037	28	MLB MLE	SF	55%	630	553	124	21	4	15	61	172	11	20	5	224	314	358	672	134	296	27	10	305	93	-6	+2	-1	-4	+14	0.6
2038	29	MLB MLE	SF	53%	620	545	123	21	4	15	60	171	10	19	5	226	314	361	675	136	295	28	10	303	91	-6	+2	-1	-4	+13	0.4
2039	30	MLB MLE	SF	53%	609	535	119	20	4	14	59	169	10	19	5	222	311	353	665	131	294	28	10	300	89	-8	+2	-2	-4	+13	0.2
2027	18	MLB CTX	SF	34%	68	61	13	2	1	1	6	20	1	2	1	213	294	328	622	115	284	29	9	264	75	-2	+0	+0	-0	+1	-0.1
2028	19	MLB CTX	SF	48%	165	147	31	5	1	3	15	47	2	5	1	211	293	320	612	109	287	28	9	271	81	-4	+1	+0	-1	+4	-0.1
2029	20	MLB CTX	SF	54%	245	216	47	8	2	5	23	68	4	8	2	218	305	343	647	125	288	28	9	276	85	-4	+1	+0	-1	+5	0.0
2030	21	MLB CTX	SF	57%	302	266	58	10	2	6	28	83	5	10	2	218	304	338	643	120	289	27	9	279	88	-4	+1	+0	-2	+7	0.2
2031	22	MLB CTX	SF	58%	337	297	65	11	2	7	31	92	6	11	3	219	305	340	645	121	290	27	9	282	89	-4	+1	+0	-2	+7	0.2
2032	23	MLB CTX	SF	58%	352	310	69	12	3	7	33	96	6	11	3	223	309	348	658	126	290	27	9	284	91	-4	+1	+0	-2	+8	0.3
2033	24	MLB CTX	SF	57%	355	313	70	12	3	8	33	97	6	11	3	224	310	358	667	134	291	27	9	286	92	-3	+1	+0	-2	+8	0.3
2034	25	MLB CTX	SF	57%	358	315	71	12	3	8	34	97	6	12	3	225	313	359	671	133	291	27	9	286	93	-3	+1	+0	-2	+8	0.4
2035	26	MLB CTX	SF	57%	361	318	71	12	3	8	34	98	6	12	3	223	310	355	665	132	291	27	9	287	93	-3	+1	+0	-2	+8	0.4
2036	27	MLB CTX	SF	56%	353	310	70	12	3	8	34	96	6	11	3	226	314	361	676	135	291	27	10	287	93	-3	+1	+0	-2	+8	0.4
2037	28	MLB CTX	SF	55%	346	304	67	11	2	8	33	95	6	11	3	220	309	349	658	128	290	27	10	286	93	-3	+1	-0	-2	+7	0.3
2038	29	MLB CTX	SF	53%	332	291	64	11	2	7	32	92	6	10	3	220	310	344	654	124	290	28	10	284	91	-3	+1	-1	-2	+7	0.2
2039	30	MLB CTX	SF	53%	321	282	61	10	2	7	31	89	5	10	2	216	305	340	645	124	288	28	10	282	89	-4	+1	-1	-2	+7	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3895	3430	757	128	29	83	367	1070	65	124	32	221	308	348	655	127	293	27	9	283	89	-45	+12	-2	-23	+84	2.6
/ 162G	—	A+C		—	650	572	126	21	5	14	61	179	11	21	5	220	307	348	655	128	292	28	9	283	89	-8	+2	-0	-4	+14	0.4
Career	—	MLE		—	7249	6375	1420	242	50	163	693	2001	123	232	58	223	311	353	664	130	296	28	10	300	89	-85	+22	-4	-43	+154	4.5
/ 162G	—	MLE		—	650	572	128	22	4	15	62	179	11	21	5	224	312	355	667	131	297	28	10	300	89	-8	+2	-0	-4	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#2Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.0	4,004	91	127	225	308	357	-24	+0	5.1	4.5
/162	664	15	21	-4.0	+0.0	0.8	pk7: 4
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

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
Rainer Espinoza (OGILVIE)	17	—	—	—	—	203/288/301	97	288	2	3	30%	9%	70	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ravel Santana 2010 · A	18	39	42→50	48→55	44	192/269/294	102	269	10	9	31%	8%	61	-1.5	219/288/360	141	283	16	15	27%	8%	83	+0.1	220/291/383	163	271	20	20	26%	8%	87	+0.1
✕Eddys Leonard 2019 · A	18	41→46	41→50	48→50	48	200/282/301	101	267	9	14	27%	9%	68	-1.0	209/282/325	116	301	11	8	32%	8%	73	-0.6	222/288/367	145	291	16	4	28%	6%	82	-0.0
✕Yunior Garcia 2019 · A	18	37→47	43→50	52→30	40	187/247/297	110	260	10	10	31%	6%	53	-2.1	196/245/302	106	303	10	7	37%	5%	53	-2.1	225/276/346	121	319	13	2	32%	5%	71	-0.3
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Ceddanne Rafaela 2019 · A	18	42→52	39→55	51→55	40	205/251/286	81	270	6	16	26%	5%	51	-2.2	205/253/316	111	261	11	14	25%	5%	59	-1.6	253/291/409	156	303	17	19	22%	4%	93	+0.8
●Jahmai Jones 2016 · A	18	42→50	38→50	50	42	202/259/282	79	273	5	16	27%	6%	54	-2.0	226/281/327	101	292	8	16	24%	6%	72	-0.7	248/345/422	173	324	16	18	26%	11%	114	+1.3
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
●Gabriel Gonzalez 2022 · A	18	43→53	46→50	51→45	43	216/277/350	134	270	12	10	25%	6%	77	-0.3	235/294/358	123	286	13	8	22%	5%	85	+0.2	253/307/381	128	303	13	6	20%	5%	92	+0.6
●Esmerlyn Valdez 2022 · A	18	42→43	45→55	48→30	39	205/275/323	119	306	12	7	35%	7%	70	-0.8	194/272/316	122	299	13	5	37%	8%	68	-1.0	202/297/392	190	283	25	2	36%	10%	92	+0.6
✕Aroon Escobar 2023 · A	18	42→45	39→45	47→55	48	202/296/282	81	254	6	12	22%	8%	70	-0.9	210/296/305	95	253	9	16	20%	9%	74	-0.5	215/297/320	105	260	12	19	21%	8%	77	-0.2
✕Ronarsy Ledesma 2011 · A	18	44	44→45	53→50	41	217/277/335	118	288	11	9	28%	6%	73	-0.6	219/286/320	101	286	6	11	24%	6%	73	-0.6	226/280/337	111	291	6	11	23%	4%	73	-0.3
✕Luis Torrens 2014 · A	18	42→48	36→50	49→40	45	196/262/257	61	277	3	5	29%	8%	49	-2.4	204/277/280	76	276	6	5	26%	8%	61	-1.5	237/296/380	143	283	15	2	21%	6%	89	+0.2
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Jesus Vasquez 2010 · A	18	41	43→55	45→55	40	203/255/316	114	272	9	8	29%	5%	60	-1.6	209/267/336	127	280	13	13	29%	6%	70	-0.9	206/270/350	143	270	16	18	29%	6%	76	-0.2
✕Edwin Sanchez 2023 · A	18	41	44→45	43→50	47	201/290/315	114	282	12	6	31%	9%	74	-0.5	200/313/311	111	277	10	9	29%	11%	83	+0.1	178/321/293	116	239	11	11	27%	14%	82	+0.0
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/269/291	91	259	7	13	25%	8%	60	-1.6	202/254/274	72	296	2	25	30%	6%	49	-2.4	242/294/410	167	331	20	27	32%	6%	94	+0.4
✕Jesús Báez 2023 · A	18	39→40	44→55	44→45	43	197/263/310	113	267	13	9	30%	8%	63	-1.4	199/261/321	122	254	13	9	26%	7%	64	-1.3	217/271/392	175	242	26	8	23%	6%	83	+0.1
●Jorge Bonifacio 2011 · A	18	47→51	37→50	51→45	42	215/274/302	86	311	3	11	30%	7%	63	-1.3	219/264/329	110	300	8	6	28%	5%	66	-1.1	239/305/392	153	311	17	3	28%	8%	94	+0.7
✕Juan Villavicencio 2023 · A	18	43→45	39→50	55	42	205/265/294	89	297	6	14	32%	7%	59	-1.7	186/260/273	87	276	6	12	32%	8%	53	-2.1	195/272/312	117	292	11	20	34%	9%	64	-0.5

Career Stats + Projections

Career Comps

Career Path Comps