Juan Baez

IF Wisconsin Timber Rattlers

Age 22 R/R 5'10" / 175 lbs A+ HR +10%K +6% Svc 0.0 · Ctrl thru 2036

Overview

A+PROSPECTMiLBFA 2037

ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	A/ROK/INTL3 orgs	470	.278/.355/.386	3	14	87	—	.245/.302/.329
2025	20	A+MIL	442	.201/.290/.224	0	6	30	—	.182/.253/.202
2026	21	A+MIL	309	.178/.258/.246	2	2	18	—	.158/.219/.218
2027PROJMLE	22	MLBMIL	1	.191/.254/.240	0	0	43	-0.0
2028PROJ35% MLB	23	MLBMIL	81	.198/.261/.264	1	1	52	-0.3
2029PROJ46% MLB	24	MLBMIL	145	.204/.269/.286	2	2	59	-0.4

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

ContractESTIMATED

Control thru2036Service0.0First FA2037

2027MiLB2028MiLB2029MiLB2030MiLB2031Pre-Arb$0.9M2032Pre-Arb$0.9M2033Ext$0.9M2034Ext$3M+2

Skills · percentileMiLB Statcast 2026 A+

Whiff%85

Z-Con%84

K%81

Chase%49

Speed35

BB%25

Career WAR0.0 WAR median (P10 0.0 / P90 3.3, comp-based) · star 0% · didn't stick 89%

CompsJuan Richardson (age 22) · Omar Guerra (age 21) · Webster Rivas (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†43

AVG/OBP/SLG.191 / .254 / .240

PA1

HR0

K%21

BB%7

BABIP240

ISO62

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 40 / POW 20

Toolsscout grade

CONTACT40

scouting grade only

POWER20

scouting grade only

EYE45

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-2M	+$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)
2022	17	ROK	DSL Brewers 2	—	221	198	53	9	0	3	17	31	2	17	6	268	332	359	690	91	298	14	8	309	19	—	—	—	—	—	—
2023	18	A	Carolina Mudcats	—	34	30	7	3	0	0	2	4	0	2	0	233	281	333	615	100	250	12	6	261	44	—	—	—	—	—	—
2023	18	ROK	ACL Brewers	—	205	192	71	16	4	4	8	23	2	17	2	370	401	557	958	187	399	11	4	414	113	—	—	—	—	—	—
2024	19	A	Carolina Mudcats	—	356	324	88	18	4	1	25	32	5	11	10	272	333	361	694	90	297	9	7	313	68	—	—	—	—	—	—
2024	19	ROK	ACL Brewers	—	22	15	5	0	1	0	4	1	2	0	1	333	524	467	990	133	333	5	18	432	133	—	—	—	—	—	—
2024	19	INTL	Peoria Javelinas	—	92	78	23	4	2	2	13	18	1	3	0	295	402	474	877	179	362	20	14	390	150	—	—	—	—	—	—
2025	20	A+	Wisconsin Timber Rattlers	—	442	389	78	7	1	0	46	48	3	6	2	201	290	224	514	23	226	11	10	245	30	—	—	—	—	—	—
2026	21	A+	Wisconsin Timber Rattlers	—	309	276	49	11	1	2	28	56	2	2	1	178	258	246	505	69	213	18	9	235	18	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Brewers 2	—	221	203	34	5	0	1	12	36	2	17	6	167	221	207	428	39	194	16	5	197	19	—	—	—	—	—	—
2023	18	A MLE	Carolina Mudcats	—	34	31	6	2	0	0	1	6	0	2	0	194	219	258	477	65	218	18	3	233	44	—	—	—	—	—	—
2023	18	ROK MLE	ACL Brewers	—	205	195	59	13	3	3	5	34	2	17	2	303	327	446	773	144	343	17	2	335	113	—	—	—	—	—	—
2024	19	A MLE	Carolina Mudcats	—	356	330	80	16	4	1	19	43	5	11	10	242	294	324	618	82	270	12	5	269	68	—	—	—	—	—	—
2024	19	ROK MLE	ACL Brewers	—	22	17	5	0	1	0	2	1	2	0	1	294	429	412	840	118	274	5	9	365	133	—	—	—	—	—	—
2025	20	A+ MLE	Wisconsin Timber Rattlers	—	442	400	73	6	1	0	35	65	3	6	2	182	253	203	456	20	212	15	8	213	30	—	—	—	—	—	—
2026	21	A+ MLE	Wisconsin Timber Rattlers	—	309	284	45	9	1	2	20	71	2	2	1	158	219	218	437	60	195	23	6	195	18	—	—	—	—	—	—
2022	17	ROK MLE	DSL Brewers 2	—	221	203	34	5	0	1	12	36	2	17	6	167	221	207	428	39	194	16	5	197	19	—	—	—	—	—	—
2022	17	ROK RAW	DSL Brewers 2	—	221	198	53	9	0	3	17	31	2	17	6	268	332	359	690	91	298	14	8	309	19	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	239	225	65	15	3	3	7	40	2	19	2	289	316	422	738	133	332	17	3	320	103	—	—	—	—	—	—
2023	18	ROK RAW	2 teams	—	239	222	78	19	4	4	10	27	2	19	2	351	385	527	912	176	378	11	4	392	103	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	470	433	105	20	6	1	26	55	8	14	11	242	298	323	621	81	274	12	6	275	72	—	—	—	—	—	—
2024	19	A RAW	3 teams	—	470	417	116	22	7	3	42	51	8	14	11	278	355	386	742	108	309	11	9	334	72	—	—	—	—	—	—
2025	20	A+ MLE	Wisconsin Timber Rattlers	—	442	400	73	6	1	0	35	65	3	6	2	182	253	203	456	20	215	15	8	213	30	—	—	—	—	—	—
2025	20	A+ RAW	Wisconsin Timber Rattlers	—	442	389	78	7	1	0	46	48	3	6	2	201	290	224	514	23	226	11	10	245	30	—	—	—	—	—	—
2026	21	A+ MLE	Wisconsin Timber Rattlers	—	309	284	45	9	1	2	20	71	2	2	1	158	219	218	437	60	201	23	6	195	18	—	—	—	—	—	—
2026	21	A+ RAW	Wisconsin Timber Rattlers	—	309	276	49	11	1	2	28	56	2	2	1	178	258	246	505	69	213	18	9	235	18	—	—	—	—	—	—
2022	17	ROK MLE	DSL Brewers 2	—	221	205	34	5	0	1	12	36	2	17	6	166	221	205	426	39	194	16	5	197	19	—	—	—	—	—	—
2023	18	ROK MLE	2 teams	—	239	228	65	15	3	3	7	40	2	19	2	285	316	417	733	132	325	17	3	320	103	—	—	—	—	—	—
2024	19	A MLE	3 teams	—	470	433	105	20	6	1	26	55	8	14	11	242	298	323	621	81	270	12	6	275	72	—	—	—	—	—	—
2025	20	A+ MLE	Wisconsin Timber Rattlers	—	442	401	73	6	1	0	35	65	3	6	2	182	253	202	455	20	212	15	8	213	30	—	—	—	—	—	—
2026	21	A+ MLE	Wisconsin Timber Rattlers	—	309	284	45	9	1	2	20	71	2	2	1	158	219	218	437	60	195	23	6	195	18	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	3 teams	—	470	433	105	20	6	1	26	55	8	14	11	242	298	323	621	81	270	12	6	275	72	—	—	—	—	—	—
2025	20	A+ MLE	Wisconsin Timber Rattlers	—	442	401	73	6	1	0	35	65	3	6	2	182	253	202	455	20	212	15	8	213	30	—	—	—	—	—	—
2026	21	A+ MLE	Wisconsin Timber Rattlers	—	309	284	45	9	1	2	20	71	2	2	1	158	219	218	437	60	195	23	6	195	18	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	MIL	0%	419	384	75	13	2	1	29	86	3	5	2	194	256	245	501	51	244	21	7	232	43	-28	+0	+0	+0	+9	-0.8
▸ 2027 — real world (MLB)
2027	22	MLB CTX	MIL	0%	1	1	0	0	0	0	0	0	0	0	0	191	254	240	494	50	240	0	0	229	43	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	MIL	35%	233	212	43	7	1	2	17	47	2	3	1	200	264	268	532	68	247	20	7	244	52	-13	+0	+0	+0	+5	-0.8
2029	24	MLB MLE	MIL	46%	314	286	59	10	1	4	23	63	2	4	2	207	271	289	560	82	250	20	7	255	59	-15	+0	+0	+0	+7	-0.9
2030	25	MLB MLE	MIL	52%	363	330	70	12	2	5	27	73	3	4	2	210	276	303	578	92	252	20	7	263	64	-16	+0	+0	+0	+8	-0.8
2031	26	MLB MLE	MIL	54%	391	356	76	13	2	6	29	79	3	5	2	213	279	311	590	98	254	20	7	267	67	-15	+0	+0	+0	+8	-0.7
2032	27	MLB MLE	MIL	54%	402	365	78	13	2	7	31	82	3	5	2	213	280	313	593	100	255	20	8	269	68	-15	+0	+0	+0	+9	-0.6
2028	23	MLB CTX	MIL	35%	81	74	14	2	0	1	6	16	1	1	0	198	261	264	526	67	243	20	7	242	52	-5	+0	+0	+0	+2	-0.3
2029	24	MLB CTX	MIL	46%	145	132	27	4	1	2	11	29	1	2	1	204	269	286	554	82	246	20	8	253	59	-7	+0	+0	+0	+3	-0.4
2030	25	MLB CTX	MIL	52%	188	171	36	6	1	3	14	38	1	2	1	208	273	300	574	92	249	20	7	261	64	-8	+0	+0	+0	+4	-0.4
2031	26	MLB CTX	MIL	54%	212	192	41	6	1	4	16	43	2	3	1	210	276	309	585	99	250	20	8	266	67	-8	+0	+0	+0	+5	-0.4
2032	27	MLB CTX	MIL	54%	218	197	42	7	1	4	17	45	2	3	1	211	278	311	589	100	251	21	8	267	68	-8	+0	+0	+0	+5	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	844	766	160	25	4	14	64	171	7	11	4	209	276	307	583	98	250	20	8	261	55	-36	+1	+0	+0	+18	-1.8
/ 162G	—	A+C		—	650	590	123	19	3	11	49	132	5	8	3	208	274	307	581	98	249	20	8	261	55	-28	+0	+0	+0	+14	-1.4
Career	—	MLE		—	3578	3271	683	116	20	32	241	651	31	81	32	209	270	286	555	77	249	18	7	250	55	-88	+1	+0	+0	+41	-4.7
/ 162G	—	MLE		—	650	594	125	21	4	6	44	118	6	15	6	210	272	290	561	79	251	18	7	250	55	-30	+0	+0	+0	+14	-1.6

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 A+Wisconsin Timber Rattlers · 309 PAwOBA .231 → .195 (−36)K% 18.1% → 23.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.12%	÷1.000	×1.270	—	—	23.02%
BB% (unintentional) /PA	9.06%	÷1.000	×0.710	—	×1.027	6.61%
HBP% /PA	0.65%	—	×0.790	—	×1.027	0.53%
Singles /BIP	15.91%	÷1.000	×0.920	×1.004	×1.027	15.09%
Doubles /BIP	5.00%	÷1.000	×0.810	×1.004	×1.027	4.17%
Triples /BIP	0.45%	÷1.000	×0.850	×1.004	×1.027	0.40%
Home runs /BIP	0.91%	÷1.000	×0.800	—	×1.027	0.75%

Factors used: league row Midwest League. Park (home-season share, regressed): no park row on file (treated as neutral) — applied at half strength. Age: age 21 vs a level average of 22.8 → +2.7% on BB/HBP/hit rates (1.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.004.

Result: wOBA .231 → .195; ISO .069 → .056; BABIP .213 → .195. 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 A+Wisconsin Timber Rattlers · 442 PAwOBA .242 → .213 (−29)K% 10.9% → 14.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.86%	÷0.943	×1.270	—	—	14.62%
BB% (unintentional) /PA	10.41%	÷0.965	×0.710	—	×1.042	7.98%
HBP% /PA	0.68%	—	×0.790	—	×1.042	0.56%
Singles /BIP	20.53%	÷1.023	×0.920	×1.011	×1.042	19.44%
Doubles /BIP	2.05%	÷1.013	×0.810	×1.011	×1.042	1.73%
Triples /BIP	0.29%	÷0.900	×0.850	×1.011	×1.042	0.29%
Home runs /BIP	0.00%	÷1.246	×0.800	—	×1.042	0.00%

Factors used: league row Midwest League. Park (home-season share, regressed): HR 149, 1B 105, 2B 103, 3B 80, K 89, BB 93 — applied at half strength. Age: age 20 vs a level average of 22.8 → +4.2% on BB/HBP/hit rates (2.8 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.011.

Result: wOBA .242 → .213; ISO .023 → .020; BABIP .226 → .212. 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 ACarolina Mudcats · 356 PAwOBA .307 → .269 (−39)K% 9.0% → 12.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	8.99%	÷1.013	×1.360	—	—	12.07%
BB% (unintentional) /PA	7.02%	÷0.980	×0.690	—	×1.045	5.17%
HBP% /PA	1.40%	—	×0.780	—	×1.045	1.14%
Singles /BIP	22.26%	÷1.066	×0.920	×1.007	×1.045	20.23%
Doubles /BIP	6.16%	÷0.962	×0.830	×1.007	×1.045	5.60%
Triples /BIP	1.37%	÷1.007	×0.910	×1.007	×1.045	1.30%
Home runs /BIP	0.34%	÷1.101	×0.800	—	×1.045	0.26%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 120, 1B 113, 2B 92, 3B 101, K 103, BB 96 — 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). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.007.

Result: wOBA .307 → .269; ISO .090 → .081; BABIP .297 → .270. 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 ROKACL Brewers · 22 PAwOBA .443 → .365 (−78)K% 4.5% → 6.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	4.55%	÷1.002	×1.440	—	—	6.53%
BB% (unintentional) /PA	18.18%	÷1.014	×0.620	—	×1.008	11.20%
HBP% /PA	9.09%	—	×0.720	—	×1.008	6.59%
Singles /BIP	28.57%	÷1.015	×0.820	—	×1.008	23.26%
Doubles /BIP	0.00%	÷1.088	×0.720	—	×1.008	0.00%
Triples /BIP	7.14%	÷0.900	×0.720	—	×1.008	5.76%
Home runs /BIP	0.00%	÷0.947	×0.780	—	×1.008	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 89, 1B 103, 2B 118, 3B 80, K 100, 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).

Result: wOBA .443 → .365; ISO .133 → .128; BABIP .333 → .274. 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).

2023 ROKACL Brewers · 205 PAwOBA .409 → .335 (−73)K% 11.2% → 16.7%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.22%	÷0.969	×1.440	—	—	16.68%
BB% (unintentional) /PA	3.90%	÷0.998	×0.620	—	×1.022	2.48%
HBP% /PA	0.98%	—	×0.720	—	×1.022	0.72%
Singles /BIP	27.81%	÷0.991	×0.820	×1.045	×1.022	24.59%
Doubles /BIP	9.47%	÷0.952	×0.720	×1.045	×1.022	7.65%
Triples /BIP	2.37%	÷0.923	×0.720	×1.045	×1.022	1.97%
Home runs /BIP	2.37%	÷0.898	×0.780	—	×1.022	2.10%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 80, 1B 98, 2B 90, 3B 85, K 94, BB 100 — applied at half strength. Age: age 18 vs a level average of 19.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×1.045.

Result: wOBA .409 → .335; ISO .188 → .153; BABIP .399 → .343. 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).

2023 ACarolina Mudcats · 34 PAwOBA .270 → .233 (−36)K% 11.8% → 16.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷0.990	×1.360	—	—	16.16%
BB% (unintentional) /PA	5.88%	÷1.018	×0.690	—	×1.050	4.19%
HBP% /PA	0.00%	—	×0.780	—	×1.050	0.00%
Singles /BIP	15.38%	÷1.049	×0.920	—	×1.050	14.16%
Doubles /BIP	11.54%	÷1.090	×0.830	—	×1.050	9.22%
Triples /BIP	0.00%	÷0.900	×0.910	—	×1.050	0.00%
Home runs /BIP	0.00%	÷1.072	×0.800	—	×1.050	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 114, 1B 110, 2B 118, 3B 80, K 98, BB 104 — applied at half strength. Age: age 18 vs a level average of 22.0 → +5.0% on BB/HBP/hit rates (4.0 yr younger than average).

Result: wOBA .270 → .233; ISO .100 → .083; BABIP .250 → .218. 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).

2022 DSLDSL Brewers 2 · 221 PAwOBA .306 → .197 (−110)K% 14.0% → 16.3%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.03%	÷1.051	×1.220	—	—	16.28%
BB% (unintentional) /PA	7.69%	÷1.012	×0.700	—	×1.022	5.44%
HBP% /PA	0.90%	—	×0.700	—	×1.022	0.65%
Singles /BIP	24.55%	÷0.999	×0.680	×0.972	×1.022	16.61%
Doubles /BIP	5.39%	÷1.024	×0.600	×0.972	×1.022	3.14%
Triples /BIP	0.00%	÷0.992	×0.600	×0.972	×1.022	0.00%
Home runs /BIP	1.80%	÷1.899	×0.470	—	×1.022	0.45%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 280, 1B 100, 2B 105, 3B 98, K 110, BB 102 — applied at half strength. Age: age 17 vs a level average of 18.5 → +2.2% on BB/HBP/hit rates (1.5 yr younger than average). Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.972.

Result: wOBA .306 → .197; ISO .091 → .039; BABIP .298 → .194. 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).

Not traceable per stint: some stints lack the counting stats the component translation needs. Level-wide factors that apply instead — .

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#2Abraham 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.3	845	12	10	211	273	303	+0	+0	-1.2	-0.6
/162	664	9	8	+0.0	+0.0	-1.0	pk7: 0
#3Alexi 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
#4Vic 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
#5Dave McKay'75-'82 * career totals — 8 seasons, 2,086 PA	3.1	2,086	21	20	225*	267*	337*	+8	-17	-4.3	-3.3
/162	664	7	6	+2.6	-5.3	-1.4	pk7: -2
#6Jackie Hernandez'65-'73 * career totals — 6 seasons, 1,609 PA	2.4	1,609	12	25	212*	258*	298*	+16	-16	-5.1	-3.5
/162	664	5	10	+6.6	-6.8	-2.1	pk7: -2

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
Juan Baez (OGILVIE)	22	40	20	45	45	192/254/243	51	244	1	2	21%	7%	43	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Richardson 2009 · A	22	45	35→30	44→50	44	212/255/267	55	258	2	10	18%	5%	48	-2.5	212/255/272	60	262	3	7	19%	5%	49	-2.4	212/239/226	14	246	0	0	13%	3%	29	-0.8
✕Omar Guerra 2008 · A	21	39	34→30	48→50	47	184/267/235	52	236	2	9	21%	7%	48	-2.5	201/297/256	55	242	2	11	17%	6%	65	-1.2	189/306/222	32	222	0	15	13%	5%	59	-0.7
✕Webster Rivas 2013 · A	22	40	36→40	40	47	184/241/247	63	217	3	4	17%	6%	39	-3.1	206/248/278	72	257	5	3	21%	5%	48	-2.5	208/282/293	85	269	8	1	24%	9%	64	-0.6
✕Dereck Salom 2023 · A	22	42	35→30	43→40	45	199/257/256	57	261	2	6	24%	6%	47	-2.6	196/277/252	56	263	3	5	24%	9%	55	-2.0	183/277/227	44	246	3	4	24%	11%	49	-1.4
✕Frank Hernandez 2024 · A	22	41	36→30	46→50	44	194/256/256	62	258	3	8	25%	6%	47	-2.6	209/264/269	60	314	3	8	32%	6%	52	-2.2	204/258/216	11	318	0	9	33%	6%	34	-0.9
✕Leo Rodriguez 2014 · A	22	46	34→30	45	45	215/271/261	46	269	2	6	20%	6%	53	-2.1	230/273/287	57	285	3	7	19%	5%	59	-1.6	256/282/278	23	300	0	6	14%	3%	55	-0.6
✕Bladimil Franco 2015 · A	21	44	37→30	45→40	47	209/260/279	70	250	4	7	18%	6%	53	-2.1	221/257/280	59	268	2	6	17%	4%	51	-2.2	247/276/298	51	280	0	4	11%	3%	58	-0.6
✕Jairo Rodriguez 2011 · A	22	39	35→30	44→30	45	176/216/236	60	201	2	4	14%	4%	26	-4.0	199/241/258	59	250	3	3	21%	4%	40	-3.0	209/250/255	46	255	2	1	18%	4%	41	-0.9
✕Coty Blanchard 2015 · A	23	40	36→40	48→45	47	190/258/257	67	255	2	6	25%	8%	48	-2.5	224/274/298	74	304	3	7	26%	6%	62	-1.4	241/285/309	68	323	1	7	24%	5%	66	-0.5
✕Justin Connell 2021 · A	22	43→53	37→40	44→50	46	206/269/274	68	260	5	10	22%	7%	56	-1.9	223/287/329	106	306	10	13	28%	7%	75	-0.5	221/290/332	110	308	11	14	30%	7%	74	-0.4
✕Dixon Mavares 2008 · A	22	42	34→30	47→50	52	190/271/245	55	221	2	11	14%	8%	51	-2.3	205/279/270	65	243	3	9	16%	8%	59	-1.6	198/281/249	51	228	1	11	13%	8%	53	-0.7
✕Joey Armstrong 2016 · A	22	38	37→40	44→45	43	187/245/256	69	259	5	5	29%	7%	42	-2.9	207/272/286	79	305	4	7	31%	7%	60	-1.6	206/279/285	79	309	4	8	32%	7%	58	-0.8
✕Carlos Martínez 2017 · A	22	42	35→30	48→45	44	194/238/247	54	228	3	4	16%	4%	37	-3.3	213/262/263	50	253	3	4	16%	5%	50	-2.3	201/240/264	62	241	5	3	18%	3%	39	-1.0
✕Braian Fernández 2021 · A	22	43	36→30	47→45	42	203/255/270	67	273	3	9	26%	6%	49	-2.4	198/255/267	69	323	4	6	37%	7%	49	-2.4	172/229/217	45	310	0	2	41%	6%	24	-1.1
✕Bobby Wernes 2017 · A	23	40	35→45	46→40	45	191/247/249	59	252	2	6	24%	7%	41	-3.0	212/269/305	93	273	6	6	23%	6%	63	-1.4	216/282/321	105	262	7	3	19%	7%	69	-0.5
✕Richard Rodriguez 2015 · A	22	46	32→30	44→50	54	209/275/244	35	241	1	12	14%	8%	51	-2.3	214/257/260	46	274	2	8	21%	5%	47	-2.6	147/172/154	7	195	0	7	24%	3%	-12	-1.3
✕Erick Castillo 2015 · A	22	42	37→30	41→30	45	198/248/269	71	235	4	4	17%	5%	47	-2.6	199/240/252	53	255	2	3	22%	4%	38	-3.2	188/246/227	39	232	3	0	20%	4%	34	-0.9
✕J.C. Millan 2017 · A	21	41	36→40	49→30	44	194/249/264	69	238	3	7	19%	5%	46	-2.6	208/254/292	84	274	6	6	25%	5%	53	-2.1	217/259/304	88	270	8	4	22%	5%	55	-0.6
✕Oswald Caraballo 2014 · A	21	41	35→40	44→50	49	187/245/250	63	218	1	7	15%	6%	41	-3.0	215/253/299	84	257	5	6	18%	4%	55	-2.0	230/252/319	89	258	7	5	14%	3%	57	-0.8
✕Kenneth Betancourt 2022 · A	22	40→50	35→30	44→50	38	193/232/253	60	274	3	8	30%	5%	36	-3.4	236/279/307	71	306	4	9	23%	5%	66	-1.1	248/290/313	65	315	4	10	21%	5%	69	-0.6

Juan Baez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps