Paulino Santana

LF Hickory Crawdads

Age 20 R/R 6'1" / 180 lbs A HR +15%BB +5% Svc 0.0 · Ctrl thru 2035

Overview

APROSPECTMiLBFA 2036

OGV OFP35OGV rank#1755ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Rangers R…	260	.292/.467/.364	0	20	65	—	.182/.340/.220
2025	18	A/ROKTEX	306	.255/.333/.395	5	11	29	—	.171/.234/.257
2026	19	ATEX	566	.264/.388/.433	15	29	84	—	.220/.319/.352
2027PROJMLE	20	MLBTEX	640	.197/.284/.308	11	15	70	-0.3
2028PROJ34% MLB	21	MLBTEX	173	.206/.293/.337	4	4	78	-0.3
2029PROJ48% MLB	22	MLBTEX	260	.214/.301/.361	7	7	86	-0.1

Next 3 projected WAR -0.7Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2035Service0.0First FA2036

2027MiLB2028MiLB2029MiLB2030Pre-Arb$0.8M2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Arb-1$2M2034Arb-2$3M+1

Skills · percentileMiLB Statcast 2026 A

wRC+81

wOBA77

ISO68

Speed67

BB%66

Chase%57

Career WAR0.0 WAR median (P10 -0.2 / P90 13, comp-based) · star 6% · didn't stick 77%

CompsCarlos Jimenez (age 20) · Max Muncy (age 20) · Sean Henry (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 210 proj PA

wRC+†70

AVG/OBP/SLG.196 / .282 / .305

PA210

HR4

SB5

K%32

BB%9

ISO110

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$0M ctrl surplus

Contract

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
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	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	+0.2	$0.6M	+$0.0M
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Arb-1	$2M	+0.4	$1M	+$0.0M (cut)
2034	Arb-2	$3M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$2M		$4M	+$0.3M

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)
2024	17	ROK	DSL Rangers Red	—	260	195	57	6	4	0	52	38	12	20	5	292	467	364	831	72	361	15	20	392	65	—	—	—	—	—	—
2025	18	A	Hickory Crawdads	—	67	60	13	1	3	0	4	29	3	3	4	217	299	333	632	117	419	43	6	288	13	—	—	—	—	—	—
2025	18	ROK	ACL Rangers	—	239	211	56	10	3	5	21	65	4	8	4	265	343	412	756	147	354	27	9	335	33	—	—	—	—	—	—
2026	19	A	Hickory Crawdads	—	566	469	124	26	4	15	80	141	15	29	9	264	388	433	821	168	347	25	14	370	84	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Rangers Red	—	260	209	38	4	2	0	38	48	12	20	5	182	340	220	560	38	229	18	15	264	65	—	—	—	—	—	—
2025	18	A MLE	Hickory Crawdads	—	67	61	9	1	2	0	3	40	3	3	4	148	224	230	453	82	392	60	4	188	13	—	—	—	—	—	—
2025	18	ROK MLE	ACL Rangers	—	239	219	39	6	2	3	13	95	4	8	4	178	237	265	502	87	279	40	5	217	33	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	566	492	108	21	4	12	57	192	15	29	9	220	319	352	671	132	326	34	10	293	84	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	260	209	38	4	2	0	38	48	12	20	5	182	340	220	560	38	235	18	15	264	65	—	—	—	—	—	—
2024	17	ROK RAW	DSL Rangers Red	—	260	195	57	6	4	0	52	38	12	20	5	292	467	364	831	72	361	15	20	392	65	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	306	280	48	7	4	3	16	136	7	11	8	171	234	257	491	86	312	44	5	211	29	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	306	271	69	11	6	5	25	94	7	11	8	255	333	395	728	140	366	31	8	325	29	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	566	492	108	21	4	12	57	192	15	29	9	220	319	352	671	132	332	34	10	293	84	—	—	—	—	—	—
2026	19	A RAW	Hickory Crawdads	—	566	469	124	26	4	15	80	141	15	29	9	264	388	433	821	168	347	25	14	370	84	—	—	—	—	—	—
2024	17	ROK MLE	DSL Rangers Red	—	260	208	38	4	2	0	38	48	12	20	5	183	340	221	561	38	229	18	15	264	65	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	306	280	48	7	4	3	16	136	7	11	8	171	234	257	491	86	304	44	5	211	29	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	566	489	108	21	4	12	57	192	15	29	9	221	319	354	673	133	326	34	10	293	84	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Rangers Red	—	260	208	38	4	2	0	38	48	12	20	5	183	340	221	561	38	229	18	15	264	65	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	306	280	48	7	4	3	16	136	7	11	8	171	234	257	491	86	304	44	5	211	29	—	—	—	—	—	—
2026	19	A MLE	Hickory Crawdads	—	566	489	108	21	4	12	57	192	15	29	9	221	319	354	673	133	326	34	10	293	84	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TEX	0%	640	566	111	21	4	11	56	203	13	15	6	197	284	308	592	110	282	32	9	271	70	-23	+1	-2	-7	+14	-0.3
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TEX	34%	504	444	91	17	3	11	45	156	10	13	4	205	292	332	624	127	284	31	9	283	78	-13	+1	-1	-5	+11	-0.8
2029	22	MLB MLE	TEX	48%	537	473	101	18	4	14	49	161	10	14	5	212	299	355	654	142	285	30	9	295	86	-9	+1	-1	-6	+12	-0.3
2030	23	MLB MLE	TEX	54%	578	509	111	20	4	17	53	169	11	14	5	218	304	370	675	153	287	29	9	303	91	-6	+1	-0	-6	+13	0.1
2031	24	MLB MLE	TEX	55%	597	526	117	21	4	18	55	172	11	14	5	222	308	381	689	159	288	29	9	309	95	-4	+1	+1	-6	+13	0.4
2032	25	MLB MLE	TEX	56%	603	532	119	21	4	19	55	171	11	14	5	224	310	387	697	163	288	28	9	312	97	-2	+1	+1	-6	+13	0.6
2033	26	MLB MLE	TEX	56%	599	528	118	21	4	19	55	170	11	14	5	224	310	389	699	165	288	28	9	312	98	-2	+1	+1	-6	+13	0.6
2034	27	MLB MLE	TEX	55%	596	525	118	21	4	19	55	170	11	13	5	223	309	386	696	163	287	29	9	311	97	-2	+1	+1	-6	+13	0.5
2035	28	MLB MLE	TEX	55%	585	516	113	20	3	18	54	168	10	11	4	221	307	381	689	160	286	29	9	308	95	-4	+1	-0	-6	+13	0.3
2036	29	MLB MLE	TEX	53%	568	501	109	19	3	17	52	165	10	9	4	219	304	375	679	156	285	29	9	305	92	-5	+0	-1	-6	+12	0.0
2037	30	MLB MLE	TEX	57%	552	488	104	18	3	16	50	162	9	8	4	215	301	367	667	151	282	29	9	300	89	-7	+0	-2	-6	+12	-0.3
2028	21	MLB CTX	TEX	34%	173	153	32	6	1	4	15	53	3	4	2	206	293	337	630	131	283	31	9	286	78	-5	+0	-0	-2	+4	-0.3
2029	22	MLB CTX	TEX	48%	260	229	49	8	2	7	24	78	5	7	2	214	301	361	662	148	285	30	9	298	86	-4	+1	-0	-3	+6	-0.1
2030	23	MLB CTX	TEX	54%	313	275	60	10	2	10	29	92	6	8	3	219	306	378	684	159	286	29	9	306	91	-3	+0	-0	-3	+7	0.1
2031	24	MLB CTX	TEX	55%	331	292	65	11	2	11	30	95	6	8	3	223	310	389	699	166	288	29	9	312	95	-2	+0	+0	-4	+7	0.2
2032	25	MLB CTX	TEX	56%	338	298	67	11	2	12	31	96	6	8	3	226	312	396	707	170	288	28	9	315	97	-1	+0	+0	-4	+7	0.3
2033	26	MLB CTX	TEX	56%	337	297	67	11	2	12	31	96	6	8	3	226	312	398	710	172	288	28	9	316	98	-1	+0	+0	-4	+7	0.4
2034	27	MLB CTX	TEX	55%	330	291	65	11	2	11	30	94	6	7	3	225	311	395	706	170	287	28	9	315	97	-1	+0	+0	-4	+7	0.3
2035	28	MLB CTX	TEX	55%	321	282	64	11	2	11	30	92	6	6	2	223	309	390	699	167	286	29	9	312	95	-2	+0	-0	-3	+7	0.2
2036	29	MLB CTX	TEX	53%	303	267	59	10	2	10	28	88	5	5	2	220	306	383	689	163	285	29	9	308	92	-3	+0	-0	-3	+7	0.0
2037	30	MLB CTX	TEX	57%	315	278	61	10	2	10	29	93	5	5	2	217	302	375	677	158	282	30	9	303	89	-4	+0	-1	-3	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3021	2662	589	99	19	98	277	877	54	66	25	221	307	383	691	162	288	29	9	309	87	-27	+3	-1	-32	+65	0.9
/ 162G	—	A+C		—	650	573	126	21	4	21	60	189	12	14	5	220	307	380	688	161	286	29	9	309	87	-6	+1	-0	-7	+14	0.2
Career	—	MLE		—	7061	6209	1332	235	47	187	652	2107	142	189	70	215	304	358	661	143	290	30	9	297	87	-62	+7	-3	-64	+128	0.7
/ 162G	—	MLE		—	650	572	122	22	4	17	60	194	13	17	6	213	302	355	657	142	288	30	9	297	87	-7	+1	-0	-7	+14	0.1

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 AHickory Crawdads · 566 PAwOBA .362 → .293 (−68)K% 24.9% → 33.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.91%	÷1.000	×1.360	—	—	33.88%
BB% (unintentional) /PA	14.13%	÷1.000	×0.690	—	×1.030	10.05%
HBP% /PA	2.65%	—	×0.780	—	×1.030	2.13%
Singles /BIP	24.09%	÷1.000	×0.920	×1.025	×1.030	23.38%
Doubles /BIP	7.93%	÷1.000	×0.830	×1.025	×1.030	6.94%
Triples /BIP	1.22%	÷1.000	×0.910	×1.025	×1.030	1.17%
Home runs /BIP	4.57%	÷1.000	×0.800	—	×1.030	3.77%

Factors used: level-wide A 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 20 vs a level average of 22.0 → +3.0% on BB/HBP/hit rates (2.0 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.025.

Result: wOBA .362 → .293; ISO .168 → .134; BABIP .347 → .326. 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 ROKACL Rangers · 239 PAwOBA .330 → .217 (−114)K% 27.2% → 39.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.20%	÷0.981	×1.440	—	—	39.93%
BB% (unintentional) /PA	8.79%	÷1.016	×0.620	—	×1.008	5.40%
HBP% /PA	1.67%	—	×0.720	—	×1.008	1.21%
Singles /BIP	26.03%	÷0.991	×0.820	×1.002	×1.008	21.74%
Doubles /BIP	6.85%	÷1.017	×0.720	×1.002	×1.008	4.89%
Triples /BIP	2.05%	÷1.138	×0.720	×1.002	×1.008	1.31%
Home runs /BIP	3.42%	÷1.302	×0.780	—	×1.008	2.07%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 160, 1B 98, 2B 103, 3B 128, K 96, BB 103 — applied at half strength. Age: age 19 vs a level average of 19.5 → +0.8% on BB/HBP/hit rates (0.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.002.

Result: wOBA .330 → .217; ISO .147 → .083; BABIP .354 → .279. 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 AHickory Crawdads · 67 PAwOBA .281 → .188 (−92)K% 43.3% → 60.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	43.28%	÷0.981	×1.360	—	—	60.01%
BB% (unintentional) /PA	5.97%	÷1.051	×0.690	—	×1.045	4.10%
HBP% /PA	4.48%	—	×0.780	—	×1.045	3.65%
Singles /BIP	29.03%	÷1.002	×0.920	—	×1.045	27.85%
Doubles /BIP	3.23%	÷1.123	×0.830	—	×1.045	2.49%
Triples /BIP	9.68%	÷1.039	×0.910	—	×1.045	8.85%
Home runs /BIP	0.00%	÷1.037	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 107, 1B 100, 2B 125, 3B 108, K 96, BB 110 — applied at half strength. Age: age 19 vs a level average of 22.0 → +4.5% on BB/HBP/hit rates (3.0 yr younger than average).

Result: wOBA .281 → .188; ISO .117 → .073; BABIP .419 → .392. 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).

2024 DSLDSL Rangers Red · 260 PAwOBA .385 → .264 (−120)K% 14.6% → 18.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.62%	÷0.969	×1.220	—	—	18.41%
BB% (unintentional) /PA	20.00%	÷0.976	×0.700	—	×1.008	14.45%
HBP% /PA	4.62%	—	×0.700	—	×1.008	3.26%
Singles /BIP	29.94%	÷1.025	×0.680	×0.975	×1.008	19.50%
Doubles /BIP	3.82%	÷1.032	×0.600	×0.975	×1.008	2.18%
Triples /BIP	2.55%	÷1.150	×0.600	×0.975	×1.008	1.31%
Home runs /BIP	0.00%	÷1.333	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 167, 1B 105, 2B 106, 3B 130, K 94, BB 95 — 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 ×0.975.

Result: wOBA .385 → .264; ISO .072 → .041; BABIP .361 → .229. 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
#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
#2Leroy Stanton'70-'78 * career totals — 7 seasons, 2,883 PA	4.3	2,883	77	36	245*	314*	430*	-33	-1	6.5	7.8
/162	664	18	8	-7.7	-0.2	1.5	pk7: 9
#3Franklin Stubbs'84-'95 * career totals — 9 seasons, 2,899 PA	4.4	2,899	104	74	229*	301*	428*	-43	+18	6.0	6.2
/162	664	24	17	-9.8	+4.2	1.4	pk7: 6
#4Michael 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
#5Gregory 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.9	3,231	95	70	219	302	372	-20	+5	4.1	4.1
/162	664	20	14	-4.2	+1.0	0.8	pk7: 4
#6Emil Brown'97-'09 * career totals — 7 seasons, 2,508 PA	3.8	2,508	59	52	247*	314*	388*	-25	+8	3.5	4.0
/162	664	16	14	-6.6	+2.1	0.9	pk7: 5

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
Paulino Santana (OGILVIE)	20	—	—	—	—	196/282/305	109	282	4	5	32%	9%	70	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Max Muncy 2023 · A	20	39→49	47→55	50	41	193/269/328	134	304	15	12	39%	8%	69	-0.9	221/286/348	127	329	13	9	35%	7%	80	-0.2	234/300/394	160	319	20	5	31%	6%	95	+0.5
✕Sean Henry 2006 · A	20	42→52	43→50	55	42	204/269/312	108	298	11	15	34%	8%	65	-1.2	229/283/355	126	291	11	19	24%	6%	80	-0.2	251/305/379	128	300	11	17	19%	6%	91	+0.6
●Esmerlyn Valdez 2024 · A	20	41→44	42→60	45→30	40	201/268/308	107	300	10	5	34%	7%	63	-1.3	207/289/374	167	303	21	3	37%	9%	88	+0.4	207/300/402	195	286	26	2	35%	10%	96	+0.8
✕Michael Hermosillo 2015 · A	20	42→49	39→55	51→55	43	201/272/293	93	294	6	11	32%	8%	61	-1.5	221/297/300	79	293	5	17	24%	8%	73	-0.6	234/309/359	124	316	12	20	28%	7%	88	+0.3
✕Jhostynxon Garcia 2023 · A	20	36→44	40→50	47→50	46	175/264/271	96	263	7	8	34%	10%	55	-2.0	204/267/339	135	290	14	10	33%	7%	70	-0.8	226/279/379	153	297	20	9	30%	5%	81	-0.0
✕Alexander Canario 2019 · A	19	39→36	41→60	47→50	46	193/265/292	98	258	9	12	28%	8%	59	-1.7	209/266/356	147	291	17	11	33%	7%	74	-0.5	210/280/412	202	285	27	13	35%	8%	90	+0.4
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Luke Adams 2024 · A	20	42→39	44→50	53→55	51	201/318/323	122	288	11	21	31%	11%	88	+0.4	207/347/351	144	268	15	19	27%	12%	106	+1.8	200/355/358	159	246	17	19	24%	12%	108	+1.1
✕Kevin Padlo 2016 · A	20	39→42	46→55	50	46	197/276/332	135	270	13	8	31%	9%	73	-0.6	186/272/313	127	276	12	8	34%	10%	67	-1.1	196/269/361	165	267	20	12	33%	8%	75	-0.3
✕Jhonkensy Noel 2021 · A	20	40→42	43→55	47→45	42	202/266/309	107	265	11	7	28%	6%	63	-1.3	222/273/394	172	288	23	5	31%	5%	86	+0.3	200/264/382	182	250	25	1	31%	6%	78	-0.3
✕Alexis Hernandez 2024 · A	21	44→50	39→50	52→50	48	209/282/296	87	276	7	15	26%	8%	66	-1.1	216/289/327	111	296	11	18	29%	8%	76	-0.4	220/295/346	126	292	14	18	28%	8%	80	-0.1
✕Bryan Ramos 2022 · A	20	41→42	45→50	49→50	42	206/277/332	126	281	12	8	30%	7%	73	-0.6	219/279/362	143	273	18	5	26%	6%	80	-0.1	214/275/354	140	261	19	5	25%	6%	74	-0.4
✕Derek Hill 2015 · A	19	41→51	40→55	55→60	47	200/270/292	91	260	7	13	25%	8%	60	-1.6	205/256/277	72	300	3	25	30%	6%	51	-2.3	240/291/409	169	325	21	27	32%	5%	95	+0.4
✕Akil Baddoo 2019 · A	20	43→53	43→50	56→55	47	207/283/329	122	293	8	13	30%	9%	74	-0.6	215/284/346	131	317	11	16	33%	9%	78	-0.3	238/319/386	148	309	15	24	26%	11%	100	+0.9
✕Jake Marisnick 2011 · A	20	42→52	41→60	55	41	206/267/310	104	276	7	18	27%	6%	63	-1.3	238/294/365	127	306	11	19	25%	5%	86	+0.3	229/291/435	206	302	27	18	33%	6%	103	+0.8
✕Dalton Pompey 2013 · A	20	41→51	40→45	55	44	198/266/291	93	280	8	16	30%	8%	59	-1.7	243/305/349	106	326	7	24	25%	8%	86	+0.3	269/328/372	103	341	7	29	22%	7%	97	+0.9
✕Jose Siri 2015 · A	20	41→51	39→60	54→55	39	197/244/287	89	270	5	15	28%	5%	49	-2.4	190/219/301	111	302	9	17	39%	3%	42	-2.9	235/282/445	210	322	27	25	35%	5%	100	+0.9
✕Daz Cameron 2018 · A	21	42→48	45→50	53→55	40	206/268/336	130	291	12	19	32%	6%	70	-0.8	209/279/335	126	306	11	17	33%	7%	74	-0.5	227/297/394	166	289	18	26	27%	8%	92	+0.3
✕Brayan Buelvas 2022 · A	20	39→45	46→50	51→55	41	199/261/328	129	275	14	13	32%	7%	65	-1.2	195/257/323	128	268	13	17	31%	7%	63	-1.4	205/266/334	130	290	12	14	32%	7%	66	-0.8

Paulino Santana

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps