Israfell Bautista

3B FCL Rays

Age 20 S/R 6'2" / 155 lbs ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#2332ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Tampa Bay	168	.277/.352/.311	0	39	30	—	.196/.255/.222
2025	18	ROKDSL Tampa Bay	218	.278/.412/.324	0	45	41	—	.176/.282/.202
2026	19	ROKTB	207	.224/.381/.242	0	34	36	—	.170/.277/.188
2027PROJMLE	20	MLBTB	317	.200/.276/.260	2	10	55	-0.2
2028PROJ34% MLB	21	MLBTB	54	.209/.286/.285	0	2	63	-0.1
2029PROJ48% MLB	22	MLBTB	124	.214/.291/.301	2	4	69	-0.1

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

Speed86

Z-Con%82

BB%70

Whiff%49

K%37

wRC+27

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsNasim Nuñez (age 20) · Candido Pimentel (age 20) · Chris Garia (age 20)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 109 proj PA

wRC+†55

AVG/OBP/SLG.198 / .274 / .258

PA109

HR1

K%28

BB%9

ISO61

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$5M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED60

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	+0.1	$0.3M	+$0.0M (cut)
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Arb-1	$3M	—	—	—
2037	Arb-2	$0.4M	—	—	—
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-0.9M	+$0.0M

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. 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 Tampa Bay	—	168	148	41	3	1	0	15	32	2	39	5	277	352	311	662	34	347	19	9	303	30	—	—	—	—	—	—
2025	18	ROK	DSL Tampa Bay	—	218	176	49	4	2	0	38	35	2	45	5	278	412	324	736	45	348	16	17	345	41	—	—	—	—	—	—
2026	19	ROK	FCL Rays	—	207	161	36	1	1	0	38	50	3	34	6	224	381	242	623	19	313	24	18	301	36	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Tampa Bay	—	168	153	30	2	1	0	10	40	2	39	5	196	255	222	477	26	250	24	6	213	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	218	188	33	3	1	0	26	43	2	45	5	176	282	202	485	27	224	20	12	229	41	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	207	176	30	1	1	0	23	72	3	34	6	170	277	188	465	17	264	35	11	221	36	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	168	153	30	2	1	0	10	40	2	39	5	196	255	222	477	26	261	24	6	213	30	—	—	—	—	—	—
2024	17	ROK RAW	DSL Tampa Bay	—	168	148	41	3	1	0	15	32	2	39	5	277	352	311	662	34	347	19	9	303	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	218	188	33	3	1	0	26	43	2	45	5	176	282	202	485	27	228	20	12	229	41	—	—	—	—	—	—
2025	18	ROK RAW	DSL Tampa Bay	—	218	176	49	4	2	0	38	35	2	45	5	278	412	324	736	45	348	16	17	345	41	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	207	176	30	1	1	0	23	72	3	34	6	170	277	188	465	17	278	35	11	221	36	—	—	—	—	—	—
2026	19	ROK RAW	FCL Rays	—	207	161	36	1	1	0	38	50	3	34	6	224	381	242	623	19	313	24	18	301	36	—	—	—	—	—	—
2024	17	ROK MLE	DSL Tampa Bay	—	168	154	30	2	1	0	10	40	2	39	5	195	255	221	475	26	250	24	6	213	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	218	188	33	3	1	0	26	43	2	45	5	176	282	202	485	27	224	20	12	229	41	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	207	179	30	1	1	0	23	72	3	34	6	168	277	184	462	17	264	35	11	221	36	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Tampa Bay	—	168	154	30	2	1	0	10	40	2	39	5	195	255	221	475	26	250	24	6	213	30	—	—	—	—	—	—
2025	18	ROK MLE	DSL Tampa Bay	—	218	188	33	3	1	0	26	43	2	45	5	176	282	202	485	27	224	20	12	229	41	—	—	—	—	—	—
2026	19	ROK MLE	FCL Rays	—	207	179	30	1	1	0	23	72	3	34	6	168	277	184	462	17	264	35	11	221	36	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	TB	0%	317	284	58	9	2	2	27	87	3	10	2	200	276	260	537	61	279	27	9	249	55	-17	+1	+0	+1	+7	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	TB	34%	156	140	28	4	1	1	13	42	2	5	1	206	283	283	566	77	281	27	8	261	63	-7	+1	+0	+1	+3	-0.2
2029	22	MLB MLE	TB	48%	255	228	48	7	2	3	22	68	3	7	1	211	288	300	589	89	283	27	9	270	69	-10	+1	+0	+1	+6	-0.2
2030	23	MLB MLE	TB	54%	349	312	66	10	2	5	30	92	4	10	2	215	292	313	605	98	284	26	9	276	73	-11	+1	+0	+1	+8	-0.1
2031	24	MLB MLE	TB	55%	409	366	80	13	2	7	36	106	4	11	2	218	295	323	618	105	285	26	9	281	76	-12	+1	+0	+1	+9	0.0
2032	25	MLB MLE	TB	56%	444	398	88	14	3	8	39	115	4	11	2	220	297	330	627	109	286	26	9	284	79	-11	+1	+0	+2	+10	0.1
2033	26	MLB MLE	TB	56%	462	414	91	14	3	9	40	119	5	11	2	220	297	331	628	110	286	26	9	285	79	-12	+1	+0	+2	+10	0.1
2034	27	MLB MLE	TB	55%	468	419	93	15	3	9	41	121	5	11	2	219	296	328	624	108	285	26	9	283	78	-12	+1	+0	+2	+10	0.1
2035	28	MLB MLE	TB	55%	467	419	91	14	3	8	41	122	4	10	2	217	294	323	617	105	284	26	9	280	76	-13	+1	-1	+2	+10	-0.1
2036	29	MLB MLE	TB	58%	458	411	88	14	2	8	40	121	4	9	2	215	291	316	607	101	282	26	9	276	73	-15	+1	-1	+2	+10	-0.4
2037	30	MLB MLE	TB	60%	447	401	84	13	2	7	39	120	4	8	2	211	287	308	595	96	280	27	9	271	70	-16	+1	-2	+2	+10	-0.6
2028	21	MLB CTX	TB	34%	54	48	10	2	0	0	5	15	1	2	0	209	286	285	570	76	285	28	9	263	63	-2	+0	+0	+0	+1	-0.1
2029	22	MLB CTX	TB	48%	124	111	25	4	1	2	11	33	1	4	1	214	291	301	592	88	286	27	9	271	69	-5	+0	+0	+0	+3	-0.1
2030	23	MLB CTX	TB	54%	189	169	37	6	1	3	16	50	2	5	1	218	294	314	608	96	288	26	8	277	73	-6	+1	+0	+1	+4	-0.1
2031	24	MLB CTX	TB	55%	227	203	45	7	1	4	20	59	2	6	1	221	297	324	621	103	289	26	9	282	76	-6	+1	+0	+1	+5	0.0
2032	25	MLB CTX	TB	56%	249	222	50	8	2	4	22	64	3	6	1	223	299	330	629	107	290	26	9	286	79	-6	+1	+0	+1	+5	0.1
2033	26	MLB CTX	TB	56%	260	232	53	8	2	5	23	67	3	6	1	223	299	331	630	108	289	26	9	286	79	-7	+1	+0	+1	+6	0.1
2034	27	MLB CTX	TB	55%	259	231	52	8	2	5	23	67	3	6	1	221	298	328	626	107	289	26	9	284	78	-7	+1	+0	+1	+6	0.0
2035	28	MLB CTX	TB	55%	256	230	50	8	1	4	22	67	2	6	1	219	296	323	619	104	287	26	9	281	76	-7	+1	-0	+1	+6	-0.0
2036	29	MLB CTX	TB	58%	266	239	51	8	1	4	23	70	2	5	1	217	293	317	610	100	286	26	9	278	73	-8	+1	-1	+1	+6	-0.2
2037	30	MLB CTX	TB	60%	269	242	51	8	1	4	23	72	2	5	1	214	289	308	598	95	283	27	9	273	70	-10	+1	-1	+1	+6	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2153	1927	424	67	12	35	188	564	21	51	9	220	296	322	618	102	291	26	9	280	69	-65	+7	-2	+8	+47	-0.6
/ 162G	—	A+C		—	650	582	129	20	4	11	57	170	6	15	3	222	298	326	624	105	292	26	9	280	69	-20	+2	-1	+2	+14	-0.2
Career	—	MLE		—	4617	4123	870	127	27	66	409	1211	47	215	35	211	290	303	593	92	280	26	9	270	69	-124	+12	-4	+14	+87	-1.6
/ 162G	—	MLE		—	650	580	123	18	4	9	58	170	7	30	5	212	292	303	595	91	281	26	9	270	69	-20	+2	-1	+2	+14	-0.3

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 ROKFCL Rays · 207 PAwOBA .301 → .221 (−80)K% 24.2% → 34.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.15%	÷1.000	×1.440	—	—	34.78%
BB% (unintentional) /PA	18.36%	÷1.000	×0.620	—	×0.995	11.32%
HBP% /PA	1.45%	—	×0.720	—	×0.995	1.04%
Singles /BIP	30.63%	÷1.000	×0.820	×1.040	×0.995	25.99%
Doubles /BIP	0.90%	÷1.000	×0.720	×1.040	×0.995	0.67%
Triples /BIP	0.90%	÷1.000	×0.720	×1.040	×0.995	0.67%
Home runs /BIP	0.00%	÷1.000	×0.780	—	×0.995	0.00%

Factors used: level-wide ROK 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 19.5 → −0.5% on BB/HBP/hit rates (0.5 yr older than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.040.

Result: wOBA .301 → .221; ISO .019 → .014; BABIP .313 → .264. 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 Tampa Bay · 218 PAwOBA .338 → .229 (−108)K% 16.1% → 19.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	16.06%	÷1.005	×1.220	—	—	19.50%
BB% (unintentional) /PA	17.43%	÷1.011	×0.700	—	×0.995	12.01%
HBP% /PA	0.92%	—	×0.700	—	×0.995	0.64%
Singles /BIP	30.50%	÷1.054	×0.680	×1.014	×0.995	19.84%
Doubles /BIP	2.84%	÷0.944	×0.600	×1.014	×0.995	1.82%
Triples /BIP	1.42%	÷1.150	×0.600	×1.014	×0.995	0.75%
Home runs /BIP	0.00%	÷0.952	×0.470	—	×0.995	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 90, 1B 111, 2B 89, 3B 130, K 101, BB 102 — 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 ×1.014.

Result: wOBA .338 → .229; ISO .045 → .028; BABIP .348 → .224. 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 Tampa Bay · 168 PAwOBA .299 → .213 (−86)K% 19.0% → 23.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	19.05%	÷0.975	×1.220	—	—	23.84%
BB% (unintentional) /PA	8.93%	÷1.011	×0.700	—	×1.008	6.23%
HBP% /PA	1.19%	—	×0.700	—	×1.008	0.84%
Singles /BIP	31.90%	÷0.963	×0.680	×1.019	×1.008	23.11%
Doubles /BIP	2.59%	÷0.945	×0.600	×1.019	×1.008	1.68%
Triples /BIP	0.86%	÷0.900	×0.600	×1.019	×1.008	0.59%
Home runs /BIP	0.00%	÷0.982	×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 96, 1B 93, 2B 89, 3B 80, K 95, BB 102 — 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 ×1.019.

Result: wOBA .299 → .213; ISO .034 → .022; BABIP .347 → .250. 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
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Al Weis'62-'71 * career totals — 8 seasons, 1,763 PA	2.7	1,763	7	55	223*	283*	300*	+10	+9	-0.2	1.3
/162	664	3	21	+3.8	+3.5	-0.1	pk7: 3
#3Desi Relaford'96-'07 * career totals — 8 seasons, 3,347 PA	5.0	3,347	40	81	234*	308*	336*	+18	-13	0.2	1.3
/162	664	8	16	+3.7	-2.6	0.0	pk7: 2
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.4	2,260	37	55	217	290	318	+8	+3	0.7	0.9
/162	664	11	16	+2.4	+0.9	0.2	pk7: 1
#4Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0
#5Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1
#6Vic Harris'72-'80 * career totals — 8 seasons, 1,805 PA	2.7	1,805	13	36	215*	286*	325*	+4	-7	-1.9	-1.1
/162	664	5	13	+1.5	-2.7	-0.7	pk7: -0

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
Israfell Bautista (OGILVIE)	20	45	20	60	60	198/274/258	60	279	1	4	28%	9%	55	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Candido Pimentel 2010 · A	20	45	35→30	53→55	54	207/295/272	65	273	2	17	23%	11%	65	-1.2	211/275/265	54	294	2	15	26%	8%	55	-1.9	234/284/275	41	327	1	17	27%	6%	57	-0.7
✕Chris Garia 2013 · A	20	43→53	34→40	53→60	48	201/272/253	53	262	2	21	23%	8%	52	-2.2	217/261/297	80	293	4	24	26%	5%	57	-1.8	233/273/343	109	307	8	32	26%	4%	68	-0.6
✕Frainyer Chavez 2019 · A	20	46→47	38→40	54→50	42	217/271/293	76	299	5	21	28%	6%	61	-1.5	207/269/264	57	287	2	13	26%	7%	53	-2.1	223/291/306	84	291	8	18	25%	8%	69	-0.7
✕Jesus Galindo 2010 · A	19	42→50	34→30	55→65	51	192/290/246	54	275	1	19	28%	10%	59	-1.6	200/284/251	51	263	1	32	22%	9%	57	-1.8	233/284/297	64	318	2	38	25%	5%	63	-0.8
✕Ricardo Ferreira 2015 · A	20	46	36→30	55→60	54	207/312/275	67	298	3	21	28%	12%	74	-0.6	231/313/303	72	312	3	22	24%	10%	79	-0.2	242/324/311	68	323	3	29	23%	10%	82	+0.0
✕Lucius Fox 2017 · A	20	42→50	38→40	55→60	43	198/264/277	79	283	5	20	30%	7%	55	-2.0	217/285/288	71	314	4	22	30%	7%	65	-1.2	194/260/277	83	283	8	24	32%	8%	50	-0.9
✕Carlos Willoughby 2009 · A	20	44→43	34→40	58→60	53	204/295/255	51	259	1	25	20%	10%	62	-1.4	210/293/276	66	262	2	26	19%	9%	65	-1.2	205/284/272	67	257	1	27	19%	8%	59	-1.0
✕Luis Durango 2023 · A	20	45	35→30	53→70	48	209/290/266	57	271	3	24	22%	8%	63	-1.4	216/288/274	58	294	2	32	25%	6%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Roberto Caro 2014 · A	20	41→40	35→40	55→60	51	191/273/258	66	249	1	16	22%	9%	54	-2.0	191/269/267	76	262	2	18	25%	8%	54	-2.0	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Reidy Mercado 2021 · A	20	42	36→30	55→60	43	199/255/261	62	266	3	25	25%	6%	47	-2.5	193/244/251	58	302	3	19	34%	6%	40	-3.0	173/221/212	39	280	1	25	36%	5%	20	-1.1
✕Geraldo Quintero 2022 · A	20	38→47	35→40	52→60	47	181/251/244	63	237	2	17	23%	8%	42	-2.9	216/281/305	89	285	5	23	24%	7%	68	-1.0	218/285/304	87	285	5	28	24%	7%	66	-0.9
✕Jeremy Arocho 2018 · A	19	43→44	38→30	53→60	41	204/261/287	83	286	4	12	29%	6%	55	-1.9	223/282/290	67	291	2	11	22%	7%	64	-1.3	230/324/274	45	312	0	26	23%	11%	74	-0.3
✕Carlos Garcia 2012 · A	20	42→50	34→40	55	51	194/267/251	58	239	1	22	18%	8%	50	-2.3	228/278/294	66	284	3	17	20%	6%	63	-1.4	243/290/305	62	300	3	21	19%	5%	67	-0.5
✕Billy Hamilton 2011 · A	20	44→54	37→40	62→70	39	206/251/284	77	291	3	28	29%	5%	50	-2.3	240/292/314	74	335	3	63	27%	7%	72	-0.7	252/305/341	89	324	4	80	22%	7%	81	-0.1
✕Juan Mosquera 2008 · A	20	43	33→30	48→55	58	195/304/239	44	264	1	17	24%	12%	63	-1.3	192/270/239	47	254	2	11	23%	9%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Randy Ventura 2017 · A	20	48→56	35→30	58→60	50	224/284/280	56	271	2	26	18%	7%	62	-1.4	234/278/276	42	326	1	19	27%	6%	58	-1.7	231/275/261	29	331	1	19	29%	5%	51	-1.5
✕Rodolfo Penalo 2013 · A	20	38	35→30	51→65	50	176/248/238	62	212	2	18	18%	8%	40	-3.1	199/280/263	64	250	2	26	19%	9%	57	-1.8	195/284/251	56	248	1	34	20%	10%	54	-0.7
✕Emmanuel Morel 2016 · A	19	42	34→30	52→55	53	193/282/250	57	259	1	17	24%	10%	56	-1.9	182/254/239	57	293	2	15	35%	8%	42	-2.9	139/207/173	34	251	0	17	41%	7%	8	-1.1
✕Willmer De La Cruz 2023 · A	20	44	37→30	50→55	51	202/294/273	71	297	4	17	30%	11%	66	-1.1	191/271/251	60	317	2	14	36%	9%	52	-2.2	149/242/181	32	268	0	19	40%	10%	24	-0.8

Israfell Bautista

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps