Yoander Santana

SS DSL Pirates Black

Age 19 L/R 6'0" / 180 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#642ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2025	17	ROKDSL Pirates B…	143	.286/.371/.452	2	5	41	—	.177/.252/.269
2026	18	ROKDSL Pirates B…	180	.305/.474/.458	1	20	78	—	.197/.341/.296
2027PROJMLE	19	MLBPIT	290	.222/.299/.318	3	7	76	0.1
2028PROJ34% MLB	20	MLBPIT	50	.226/.304/.330	1	1	81	0.1
2029PROJ48% MLB	21	MLBPIT	120	.229/.307/.340	2	3	85	0.2

Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

Speed95

K%93

Whiff%89

wOBA87

wRC+87

BB%83

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 95%

CompsMarcus Lemon (age 19) · Jose Escobar (age 19) · Kevyn Castillo (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 94 proj PA

wRC+†76

AVG/OBP/SLG.220 / .297 / .316

PA94

HR1

K%24

BB%9

ISO96

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$30M ctrl surplus

Tools · ContractCON 58 / POW 36

Toolsscout grade

CONTACT58

scouting grade only

POWER36

scouting grade only

EYE64

scouting grade only

SPEED61

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+0.7	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.8	$2M	+$1M
2035	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2036	Arb-1	$3M	+0.6	$1M	+$0.1M
2037	Arb-2	$4M	+0.4	$0.7M	+$0.0M (cut)
2038	Arb-3	$4M	+0.3	$0.5M	+$0.0M (cut)
Totals		$6M		$8M	+$4M

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. 2027 = full-season projection (no games played yet). 2028+ 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	17	ROK	DSL Pirates Black	—	143	126	36	5	5	2	13	34	4	5	4	286	371	452	823	167	378	24	9	366	41	—	—	—	—	—	—
2026	18	ROK	DSL Pirates Black	—	180	131	40	11	3	1	37	20	5	20	3	305	474	458	932	153	336	11	21	406	78	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Pirates Black	—	143	130	23	3	3	1	9	42	4	5	4	177	252	269	521	92	248	29	6	229	41	—	—	—	—	—	—
2026	18	ROK MLE	DSL Pirates Black	—	180	142	28	7	2	1	26	24	5	20	3	197	341	296	637	99	208	13	14	284	78	—	—	—	—	—	—
2025	17	ROK MLE	DSL Pirates Black	—	143	130	23	3	3	1	9	42	4	5	4	177	252	269	521	92	253	29	6	229	41	—	—	—	—	—	—
2025	17	ROK RAW	DSL Pirates Black	—	143	126	36	5	5	2	13	34	4	5	4	286	371	452	823	167	378	24	9	366	41	—	—	—	—	—	—
2026	18	ROK MLE	DSL Pirates Black	—	180	142	28	7	2	1	26	24	5	20	3	197	341	296	637	99	220	13	14	284	78	—	—	—	—	—	—
2026	18	ROK RAW	DSL Pirates Black	—	180	131	40	11	3	1	37	20	5	20	3	305	474	458	932	153	336	11	21	406	78	—	—	—	—	—	—
2025	17	ROK MLE	DSL Pirates Black	—	143	129	23	3	3	1	9	42	4	5	4	178	252	271	523	93	248	29	6	229	41	—	—	—	—	—	—
2026	18	ROK MLE	DSL Pirates Black	—	180	147	28	7	2	1	26	24	5	20	3	190	341	286	627	95	208	13	14	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2025	17	ROK MLE	DSL Pirates Black	—	143	129	23	3	3	1	9	42	4	5	4	178	252	271	523	93	248	29	6	229	41	—	—	—	—	—	—
2026	18	ROK MLE	DSL Pirates Black	—	180	147	28	7	2	1	26	24	5	20	3	190	341	286	627	95	208	13	14	284	78	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	19	MLB MLE	PIT	0%	290	259	58	10	4	3	25	71	4	7	1	222	299	318	617	96	293	24	9	281	76	-8	+1	+0	+3	+6	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	20	MLB MLE	PIT	34%	145	130	30	5	2	2	12	35	2	4	1	226	304	331	635	105	294	24	8	288	81	-3	+0	+0	+2	+3	0.2
2029	21	MLB MLE	PIT	48%	247	220	50	9	3	3	21	59	4	6	1	229	307	342	649	112	295	24	9	294	85	-4	+1	+0	+3	+5	0.4
2030	22	MLB MLE	PIT	54%	358	319	73	13	4	5	31	85	5	9	2	232	310	350	660	118	296	24	9	298	88	-5	+1	+0	+4	+8	0.8
2031	23	MLB MLE	PIT	57%	431	385	90	16	5	7	37	101	6	11	3	234	312	357	669	123	296	23	9	301	90	-5	+1	+0	+5	+9	1.0
2032	24	MLB MLE	PIT	57%	476	425	101	18	5	9	41	111	7	12	3	236	313	362	676	126	297	23	9	304	92	-5	+1	+0	+5	+10	1.2
2033	25	MLB MLE	PIT	57%	502	446	105	19	5	9	44	117	7	13	3	236	314	363	677	127	297	23	9	304	92	-5	+1	+0	+5	+11	1.3
2034	26	MLB MLE	PIT	56%	517	460	107	19	5	9	45	121	7	13	3	236	314	364	678	128	297	23	9	305	92	-5	+1	+0	+6	+11	1.4
2035	27	MLB MLE	PIT	55%	521	464	108	19	5	9	45	123	7	13	3	235	313	361	674	126	296	24	9	303	91	-5	+1	+0	+6	+11	1.3
2036	28	MLB MLE	PIT	55%	517	460	107	19	5	9	45	123	7	12	3	233	311	357	668	124	296	24	9	301	90	-6	+1	-1	+6	+11	1.1
2037	29	MLB MLE	PIT	53%	506	450	104	19	5	8	44	122	7	11	3	231	308	351	659	120	295	24	9	297	87	-8	+1	-1	+5	+11	0.9
2038	30	MLB MLE	PIT	53%	494	443	101	18	5	8	42	120	6	10	3	228	305	344	649	115	293	24	9	293	84	-9	+1	-2	+5	+11	0.6
2039	31	MLB MLE	PIT	57%	479	429	97	17	5	7	41	119	6	8	4	225	300	334	635	110	291	25	9	287	81	-11	+0	-3	+5	+10	0.2
2040	32	MLB MLE	PIT	59%	458	412	90	16	4	6	38	115	5	7	5	220	295	323	617	103	287	25	8	280	76	-13	-1	-4	+5	+10	-0.3
2028	20	MLB CTX	PIT	34%	50	45	11	2	1	1	4	12	1	1	0	226	304	330	634	104	295	24	8	288	81	-1	+0	+0	+1	+1	0.1
2029	21	MLB CTX	PIT	48%	120	107	25	5	1	2	10	29	2	3	1	229	307	340	647	111	296	24	8	293	85	-2	+0	+0	+1	+3	0.2
2030	22	MLB CTX	PIT	54%	194	172	40	7	2	3	17	46	3	5	1	232	310	348	657	116	297	24	9	297	88	-3	+1	+0	+2	+4	0.4
2031	23	MLB CTX	PIT	57%	244	218	51	9	3	4	21	57	3	6	1	234	312	354	665	120	297	23	9	300	90	-3	+1	+0	+3	+5	0.6
2032	24	MLB CTX	PIT	57%	269	240	57	11	3	4	23	63	4	7	2	235	313	359	672	124	298	23	9	302	92	-3	+1	+0	+3	+6	0.7
2033	25	MLB CTX	PIT	57%	284	253	60	11	3	5	25	66	4	7	2	236	313	360	673	125	298	23	9	303	92	-3	+1	+0	+3	+6	0.7
2034	26	MLB CTX	PIT	56%	292	261	61	11	3	5	25	68	4	7	2	236	313	360	674	125	298	23	9	303	92	-3	+1	+0	+3	+6	0.8
2035	27	MLB CTX	PIT	55%	289	258	60	11	3	5	25	68	4	7	2	235	312	358	670	123	297	24	9	302	91	-3	+1	+0	+3	+6	0.7
2036	28	MLB CTX	PIT	55%	284	253	59	11	3	5	25	67	4	6	2	233	310	354	664	121	297	24	9	299	90	-3	+0	-0	+3	+6	0.6
2037	29	MLB CTX	PIT	53%	271	243	56	10	3	4	23	65	3	6	2	231	308	348	656	117	296	24	8	296	87	-4	+0	-1	+3	+6	0.4
2038	30	MLB CTX	PIT	53%	260	233	54	10	3	4	22	63	3	5	2	228	305	341	646	113	294	24	8	292	84	-5	+0	-1	+3	+6	0.3
2039	31	MLB CTX	PIT	57%	271	243	55	10	3	4	23	67	3	5	2	224	300	332	632	108	292	25	8	286	81	-6	+0	-2	+3	+6	0.1
2040	32	MLB CTX	PIT	59%	271	243	54	10	3	3	23	68	3	4	3	219	294	321	615	101	288	25	8	279	76	-8	-0	-2	+3	+6	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3099	2769	643	118	34	49	266	739	41	69	22	232	309	352	661	120	298	24	9	296	86	-46	+5	-6	+33	+67	5.4
/ 162G	—	A+C		—	650	581	135	25	7	10	56	155	9	14	5	232	310	351	661	119	298	24	9	296	86	-10	+1	-1	+7	+14	1.1
Career	—	MLE		—	6068	5400	1232	220	64	94	529	1440	86	156	44	228	307	345	652	117	292	24	9	295	86	-88	+11	-10	+62	+124	10.1
/ 162G	—	MLE		—	650	578	132	24	7	10	57	154	9	17	5	228	307	346	653	118	292	24	9	295	86	-10	+1	-1	+7	+14	1.1

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 DSLDSL Pirates Black · 180 PAwOBA .411 → .284 (−127)K% 11.1% → 13.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.11%	÷1.000	×1.220	—	—	13.56%
BB% (unintentional) /PA	20.56%	÷1.000	×0.700	—	×0.995	14.32%
HBP% /PA	2.78%	—	×0.700	—	×0.995	1.93%
Singles /BIP	22.52%	÷1.000	×0.680	×0.951	×0.995	14.49%
Doubles /BIP	9.91%	÷1.000	×0.600	×0.951	×0.995	5.63%
Triples /BIP	2.70%	÷1.000	×0.600	×0.951	×0.995	1.53%
Home runs /BIP	0.90%	÷1.000	×0.470	—	×0.995	0.42%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 19 vs a level average of 18.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.951.

Result: wOBA .411 → .284; ISO .153 → .096; BABIP .336 → .208. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

2025 DSLDSL Pirates Black · 143 PAwOBA .357 → .229 (−128)K% 23.8% → 29.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.78%	÷0.988	×1.220	—	—	29.35%
BB% (unintentional) /PA	9.09%	÷0.987	×0.700	—	×1.008	6.49%
HBP% /PA	2.80%	—	×0.700	—	×1.008	1.97%
Singles /BIP	26.09%	÷1.004	×0.680	×1.006	×1.008	17.90%
Doubles /BIP	5.43%	÷0.972	×0.600	×1.006	×1.008	3.40%
Triples /BIP	5.43%	÷1.019	×0.600	×1.006	×1.008	3.24%
Home runs /BIP	2.17%	÷0.931	×0.470	—	×1.008	1.11%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 86, 1B 101, 2B 94, 3B 104, K 98, BB 97 — applied at half strength. Age: age 18 vs a level average of 18.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.006.

Result: wOBA .357 → .229; ISO .167 → .093; BABIP .378 → .248. Both wOBAs use the same linear weights, so the change is the translation alone. The MLE line is not regressed to the mean — regression happens later, when seasons are blended into a projection (how).

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	4.8	3,191	52	72	232	306	352	+34	+24	7.9	6.9
/162	664	11	15	+7.1	+5.0	1.7	pk7: 6
#5Kevin Stocker'93-'00 * career totals — 8 seasons, 3,197 PA	4.8	3,197	23	45	241*	324*	337*	+34	+8	6.4	6.5
/162	664	5	9	+7.1	+1.8	1.3	pk7: 7
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 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
Yoander Santana (OGILVIE)	19	53→58	31→36	56→61	64	220/297/316	95	293	1	2	24%	9%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Marcus Lemon 2007 · A	19	49→55	37→40	55→45	52	229/297/306	77	281	3	16	19%	9%	73	-0.6	243/304/333	90	311	4	9	22%	7%	82	-0.0	249/308/338	89	311	4	8	20%	7%	81	-0.0
✕Jose Escobar 2024 · A	19	46→56	39→40	55→45	42	220/276/306	85	277	6	14	22%	5%	65	-1.2	227/297/326	99	296	8	9	24%	7%	78	-0.3	236/304/334	98	303	8	8	23%	7%	80	-0.1
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Cristofer Torin 2024 · A	19	46→55	38→40	54→50	54	219/299/292	73	262	5	19	18%	9%	72	-0.7	235/310/323	88	290	7	11	20%	9%	82	+0.0	243/315/341	98	290	8	10	18%	9%	86	+0.3
✕Kendall George 2024 · A	19	55→60	36→30	52→65	48	253/320/322	69	342	3	22	25%	8%	85	+0.2	249/328/307	58	343	2	42	25%	10%	85	+0.2	262/344/315	53	355	2	56	24%	11%	90	+0.4
✕Jaison Chourio 2024 · A	19	49→55	36→40	55	55	224/319/299	75	316	2	18	27%	12%	80	-0.1	232/327/322	90	320	6	23	26%	12%	88	+0.5	235/331/328	92	319	6	27	25%	12%	90	+0.4
✕Nacho Alvarez Jr. 2023 · A	20	51→54	39→40	55→50	58	237/332/330	93	293	6	14	20%	12%	93	+0.8	243/319/335	92	311	8	14	23%	8%	88	+0.5	244/321/332	88	312	8	14	22%	8%	87	+0.2
✕Carlos Sanchez 2023 · A	18	50→54	37→40	51→50	59	233/335/302	69	298	4	15	21%	12%	88	+0.4	212/309/287	75	349	4	12	35%	12%	75	-0.5	225/310/326	101	351	8	14	35%	11%	79	-0.1
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/291/331	104	301	7	17	26%	8%	76	-0.4	226/279/325	99	296	7	16	25%	6%	70	-0.8	250/321/350	101	344	8	50	27%	8%	89	+0.3
●Josue De Paula 2024 · A	19	52→54	38→50	51→55	52	242/326/327	85	316	5	14	23%	10%	89	+0.5	236/331/360	124	307	12	20	25%	12%	99	+1.3	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕Adrian Cardenas 2007 · A	19	47→57	39→45	54→50	43	226/277/312	86	293	6	14	24%	6%	67	-1.1	258/305/354	96	315	6	11	19%	6%	86	+0.3	281/332/373	92	325	5	8	14%	7%	100	+1.2
✕Hak-Ju Lee 2011 · A	20	54→59	36→40	54→55	45	251/301/319	68	321	2	17	22%	6%	77	-0.3	254/308/346	92	329	4	24	22%	7%	86	+0.3	240/297/328	88	314	4	25	23%	7%	74	-0.4
●Xavier Edwards 2019 · A	19	53→63	37→40	56→60	50	245/308/320	75	309	3	18	21%	8%	80	-0.2	257/303/319	62	306	1	19	15%	6%	77	-0.3	308/366/390	82	353	4	36	13%	8%	116	+2.2
✕Termarr Johnson 2023 · A	19	46→53	41→45	52→55	47	212/293/316	104	323	7	14	34%	10%	75	-0.5	217/315/345	128	302	15	12	30%	12%	91	+0.6	218/312/337	119	292	14	14	28%	11%	85	+0.2
●J.P. Crawford 2014 · A	19	51→57	37→45	50	49	238/302/314	76	308	3	13	23%	8%	76	-0.4	254/322/351	97	304	8	13	18%	9%	93	+0.8	261/352/384	123	304	11	2	17%	11%	113	+2.4
✕Pedro Ramírez 2023 · A	19	50→57	40→45	53→55	44	237/287/335	98	286	6	14	19%	5%	76	-0.4	245/302/345	100	311	7	14	22%	7%	84	+0.1	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Cam Maron 2010 · A	19	47→57	40	50→40	47	223/290/317	95	292	7	7	25%	8%	74	-0.6	241/309/329	88	308	7	5	22%	8%	83	+0.1	245/318/319	74	316	4	2	22%	9%	82	-0.0
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Luis Durango 2022 · A	19	50	38→30	54→70	43	233/296/306	73	313	5	25	26%	6%	74	-0.6	213/291/269	56	284	2	28	24%	7%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Raynel Delgado 2019 · A	19	50→56	36→40	50→60	45	226/293/294	68	335	3	11	31%	9%	69	-0.9	208/262/282	74	311	4	10	32%	6%	55	-2.0	246/311/338	92	338	7	32	27%	8%	82	+0.0

Yoander Santana

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps