Juan Ortega

C Delmarva Shorebirds

Age 21 R/R 5'8" / 177 lbs A HR +9% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#538ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	18	ROKDSL Orioles O…	131	.237/.450/.366	2	12	61	—	.152/.349/.222
2025	19	ROKBAL	136	.264/.400/.436	4	11	62	—	.186/.289/.297
2026	20	A/ROKBAL	243	.232/.350/.348	3	14	63	—	.210/.308/.317
2027PROJMLE	21	MLBBAL	353	.211/.288/.313	5	8	72	0.2
2028PROJ34% MLB	22	MLBBAL	65	.218/.295/.333	1	2	76	0.1
2029PROJ48% MLB	23	MLBBAL	136	.222/.299/.343	3	3	80	0.2

Next 3 projected WAR 0.5Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2037Service0.0First FA2038

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032Pre-Arb$0.9M2033Pre-Arb$0.9M2034Pre-Arb$1.0M+3

Skills · percentileMiLB Statcast 2026 A

Speed88

Whiff%72

K%62

Z-Con%50

wRC+39

BB%38

Career WAR0.0 WAR median (P10 0.0 / P90 8.7, comp-based) · star 1% · didn't stick 83%

CompsJuan Mora (age 21) · Jeter Downs (age 21) · Jared Serna (age 21)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 142 proj PA

wRC+†72

AVG/OBP/SLG.209 / .285 / .310

PA142

HR2

K%25

BB%7

ISO103

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$19M ctrl surplus

Tools · ContractCON 37 / POW 42

Toolsscout grade

CONTACT37

scouting grade only

POWER42

scouting grade only

EYE55

scouting grade only

SPEED61

scouting grade only

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
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	+0.5	$1M	+$0.8M
2033	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2034	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2035	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2036	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$0.6M	—	—	—
Totals		$3M		$5M	+$2M

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. Catcher framing: only 2027 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run 1-3 WAR low.

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)
2023	17	ROK	DSL Orioles Orange	—	49	41	11	2	2	0	5	13	2	1	1	268	375	415	790	146	393	27	10	349	34	—	—	—	—	—	—
2024	18	ROK	DSL Orioles Orange	—	131	93	22	6	0	2	18	24	18	12	4	237	450	366	815	129	294	18	14	384	61	—	—	—	—	—	—
2025	19	ROK	FCL Orioles	—	136	110	29	3	2	4	21	30	4	11	4	264	400	436	836	173	325	22	15	376	62	—	—	—	—	—	—
2026	20	A	Delmarva Shorebirds	—	208	169	36	4	4	2	22	46	10	13	7	213	338	320	658	107	276	22	11	298	57	—	—	—	—	—	—
2026	20	ROK	FCL Orioles	—	35	29	10	2	0	1	2	5	2	1	1	345	424	517	941	172	375	14	6	396	98	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	17	ROK MLE	DSL Orioles Orange	—	49	43	7	1	1	0	3	17	2	1	1	163	250	233	483	70	253	35	6	219	34	—	—	—	—	—	—
2024	18	ROK MLE	DSL Orioles Orange	—	131	99	15	4	0	1	12	30	18	12	4	152	349	222	571	71	183	23	9	258	61	—	—	—	—	—	—
2025	19	ROK MLE	FCL Orioles	—	136	118	22	2	1	3	13	44	4	11	4	186	289	297	585	110	253	32	10	260	62	—	—	—	—	—	—
2026	20	A MLE	Delmarva Shorebirds	—	208	175	34	3	4	2	16	63	10	13	7	194	299	291	590	97	263	30	8	252	57	—	—	—	—	—	—
2026	20	ROK MLE	FCL Orioles	—	35	30	9	2	0	1	1	7	2	1	1	300	364	467	830	167	295	20	3	313	98	—	—	—	—	—	—
2023	17	ROK MLE	DSL Orioles Orange	—	49	43	7	1	1	0	3	17	2	1	1	163	250	233	483	70	269	35	6	219	34	—	—	—	—	—	—
2023	17	ROK RAW	DSL Orioles Orange	—	49	41	11	2	2	0	5	13	2	1	1	268	375	415	790	146	393	27	10	349	34	—	—	—	—	—	—
2024	18	ROK MLE	DSL Orioles Orange	—	131	99	15	4	0	1	12	30	18	12	4	152	349	222	571	71	203	23	9	258	61	—	—	—	—	—	—
2024	18	ROK RAW	DSL Orioles Orange	—	131	93	22	6	0	2	18	24	18	12	4	237	450	366	815	129	294	18	14	384	61	—	—	—	—	—	—
2025	19	ROK MLE	FCL Orioles	—	136	118	22	2	1	3	13	44	4	11	4	186	289	297	585	110	264	32	10	260	62	—	—	—	—	—	—
2025	19	ROK RAW	FCL Orioles	—	136	110	29	3	2	4	21	30	4	11	4	264	400	436	836	173	325	22	15	376	62	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	243	205	42	5	4	2	17	70	12	14	8	205	303	298	601	93	294	29	7	261	63	—	—	—	—	—	—
2026	20	A RAW	2 teams	—	243	198	46	6	4	3	24	51	12	14	8	232	350	348	699	116	293	21	10	312	63	—	—	—	—	—	—
2023	17	ROK MLE	DSL Orioles Orange	—	49	44	7	1	1	0	3	17	2	1	1	159	250	227	477	68	253	35	6	219	34	—	—	—	—	—	—
2024	18	ROK MLE	DSL Orioles Orange	—	131	100	15	4	0	1	12	30	18	12	4	150	349	220	569	70	183	23	9	258	61	—	—	—	—	—	—
2025	19	ROK MLE	FCL Orioles	—	136	118	22	2	1	3	13	44	4	11	4	186	289	297	585	110	253	32	10	260	62	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	243	212	42	5	4	2	17	70	12	14	8	198	303	288	591	90	268	29	7	261	63	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	18	ROK MLE	DSL Orioles Orange	—	131	100	15	4	0	1	12	30	18	12	4	150	349	220	569	70	183	23	9	258	61	—	—	—	—	—	—
2025	19	ROK MLE	FCL Orioles	—	136	118	22	2	1	3	13	44	4	11	4	186	289	297	585	110	253	32	10	260	62	—	—	—	—	—	—
2026	20	A MLE	2 teams	—	243	212	42	5	4	2	17	70	12	14	8	198	303	288	591	90	268	29	7	261	63	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	21	MLB MLE	BAL	0%	353	316	67	12	3	5	26	88	8	8	3	211	288	313	601	103	273	25	7	274	72	-12	+0	+0	+6	+8	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	22	MLB MLE	BAL	34%	189	169	35	6	1	3	14	47	4	5	2	215	292	326	619	111	275	25	7	281	76	-5	+0	+0	+3	+4	0.2
2029	23	MLB MLE	BAL	48%	280	250	55	10	2	5	22	68	6	7	2	218	296	336	632	117	276	24	8	286	80	-7	+1	+0	+5	+6	0.5
2030	24	MLB MLE	BAL	53%	356	318	70	12	3	7	28	86	7	9	3	221	298	343	641	122	278	24	8	290	82	-7	+1	+0	+6	+8	0.7
2031	25	MLB MLE	BAL	55%	396	354	79	14	3	8	31	95	8	10	3	223	300	347	647	124	279	24	8	292	84	-8	+1	+0	+7	+9	0.9
2032	26	MLB MLE	BAL	56%	419	375	84	15	3	9	33	100	8	10	4	224	301	350	650	126	279	24	8	293	85	-8	+0	+0	+7	+9	1.0
2033	27	MLB MLE	BAL	55%	428	383	85	15	3	9	34	103	8	10	4	222	300	347	647	125	278	24	8	292	84	-8	+0	+0	+8	+9	0.9
2034	28	MLB MLE	BAL	59%	427	382	85	15	3	9	34	104	8	10	4	221	298	342	640	122	277	24	8	289	82	-9	+0	-1	+8	+9	0.8
2035	29	MLB MLE	BAL	61%	418	374	82	15	3	8	33	103	8	9	4	218	295	336	631	118	276	25	8	286	79	-10	+0	-1	+7	+9	0.5
2036	30	MLB MLE	BAL	62%	407	365	79	14	3	7	32	101	7	8	4	215	291	328	619	113	274	25	8	281	76	-12	+0	-2	+7	+9	0.3
2037	31	MLB MLE	BAL	63%	375	336	70	12	2	6	29	95	7	6	4	211	286	318	604	107	271	25	8	275	72	-12	-0	-3	+7	+8	-0.1
2028	22	MLB CTX	BAL	34%	65	59	12	2	0	1	5	16	1	2	1	218	295	333	629	115	279	25	8	285	76	-2	+0	+0	+1	+1	0.1
2029	23	MLB CTX	BAL	48%	136	122	28	5	1	3	10	33	3	3	1	222	299	343	642	121	280	24	7	290	80	-3	+0	+0	+2	+3	0.2
2030	24	MLB CTX	BAL	53%	188	167	38	7	1	4	15	45	4	5	2	225	302	350	652	126	282	24	8	294	82	-4	+0	+0	+3	+4	0.4
2031	25	MLB CTX	BAL	55%	217	194	45	8	2	5	17	52	4	5	2	226	303	355	658	129	283	24	8	297	84	-4	+0	+0	+4	+5	0.5
2032	26	MLB CTX	BAL	56%	233	208	48	9	2	5	18	56	5	6	2	227	304	358	662	130	283	24	8	298	85	-4	+0	+0	+4	+5	0.5
2033	27	MLB CTX	BAL	55%	235	209	48	9	2	5	19	57	5	6	2	226	303	355	658	129	283	24	8	296	84	-5	+0	+0	+4	+5	0.5
2034	28	MLB CTX	BAL	59%	251	224	50	9	2	5	20	61	5	6	2	224	301	350	651	126	281	24	8	294	82	-5	+0	-0	+4	+5	0.5
2035	29	MLB CTX	BAL	61%	254	227	51	9	2	5	20	62	5	5	2	222	298	343	641	122	280	24	8	290	79	-6	+0	-1	+5	+6	0.3
2036	30	MLB CTX	BAL	62%	253	226	50	9	2	5	20	63	5	5	2	218	294	335	629	117	278	25	8	285	76	-7	+0	-1	+5	+5	0.2
2037	31	MLB CTX	BAL	63%	236	212	45	8	1	4	18	60	4	4	3	214	289	325	614	111	275	25	8	279	72	-8	-0	-2	+4	+5	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2068	1848	415	75	15	42	162	505	41	47	19	225	301	350	651	125	285	24	8	291	77	-49	+2	-4	+37	+45	3.1
/ 162G	—	A+C		—	650	581	131	24	5	13	51	159	13	15	6	225	303	351	654	126	286	24	8	291	77	-15	+1	-1	+12	+14	1.0
Career	—	MLE		—	4396	3898	837	145	33	79	346	1099	110	125	52	215	297	330	627	115	276	25	8	283	77	-91	+3	-7	+69	+83	5.8
/ 162G	—	MLE		—	650	576	124	21	5	12	51	162	16	18	8	215	297	332	629	116	276	25	8	283	77	-15	+1	-1	+12	+14	1.0

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 ADelmarva Shorebirds · 208 PAwOBA .294 → .252 (−42)K% 22.1% → 30.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.12%	÷1.000	×1.360	—	—	30.08%
BB% (unintentional) /PA	10.58%	÷1.000	×0.690	—	×1.030	7.52%
HBP% /PA	4.81%	—	×0.780	—	×1.030	3.86%
Singles /BIP	21.14%	÷1.000	×0.920	×1.019	×1.030	20.40%
Doubles /BIP	3.25%	÷1.000	×0.830	×1.019	×1.030	2.83%
Triples /BIP	3.25%	÷1.000	×0.910	×1.019	×1.030	3.10%
Home runs /BIP	1.63%	÷1.000	×0.800	—	×1.030	1.34%

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 ×1.019.

Result: wOBA .294 → .252; ISO .107 → .094; BABIP .276 → .263. 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).

2026 ROKFCL Orioles · 35 PAwOBA .396 → .313 (−83)K% 14.3% → 20.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.29%	÷1.000	×1.440	—	—	20.57%
BB% (unintentional) /PA	5.71%	÷1.000	×0.620	—	×0.995	3.53%
HBP% /PA	5.71%	—	×0.720	—	×0.995	4.09%
Singles /BIP	29.17%	÷1.000	×0.820	—	×0.995	23.80%
Doubles /BIP	8.33%	÷1.000	×0.720	—	×0.995	5.97%
Triples /BIP	0.00%	÷1.000	×0.720	—	×0.995	0.00%
Home runs /BIP	4.17%	÷1.000	×0.780	—	×0.995	3.23%

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).

Result: wOBA .396 → .313; ISO .172 → .136; BABIP .375 → .295. 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 ROKFCL Orioles · 136 PAwOBA .369 → .260 (−110)K% 22.1% → 32.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	22.06%	÷0.980	×1.440	—	—	32.40%
BB% (unintentional) /PA	15.44%	÷1.020	×0.620	—	×1.008	9.45%
HBP% /PA	2.94%	—	×0.720	—	×1.008	2.13%
Singles /BIP	25.00%	÷0.997	×0.820	×0.990	×1.008	20.51%
Doubles /BIP	3.75%	÷1.033	×0.720	×0.990	×1.008	2.61%
Triples /BIP	2.50%	÷1.150	×0.720	×0.990	×1.008	1.56%
Home runs /BIP	5.00%	÷1.000	×0.780	—	×1.008	3.93%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 99, 2B 107, 3B 130, K 96, BB 104 — 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 ×0.990.

Result: wOBA .369 → .260; ISO .173 → .121; BABIP .325 → .253. 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 Orioles Orange · 131 PAwOBA .379 → .258 (−121)K% 18.3% → 22.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.32%	÷0.981	×1.220	—	—	22.78%
BB% (unintentional) /PA	13.74%	÷1.041	×0.700	—	×1.008	9.31%
HBP% /PA	13.74%	—	×0.700	—	×1.008	9.69%
Singles /BIP	20.29%	÷1.082	×0.680	×0.986	×1.008	12.67%
Doubles /BIP	8.70%	÷0.924	×0.600	×0.986	×1.008	5.61%
Triples /BIP	0.00%	÷1.150	×0.600	×0.986	×1.008	0.00%
Home runs /BIP	2.90%	÷0.992	×0.470	—	×1.008	1.38%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 98, 1B 116, 2B 85, 3B 130, K 96, BB 108 — 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 ×0.986.

Result: wOBA .379 → .258; ISO .129 → .080; BABIP .294 → .183. 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 DSLDSL Orioles Orange · 49 PAwOBA .340 → .219 (−122)K% 26.5% → 34.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	26.53%	÷0.941	×1.220	—	—	34.39%
BB% (unintentional) /PA	10.20%	÷1.049	×0.700	—	×1.022	6.96%
HBP% /PA	4.08%	—	×0.700	—	×1.022	2.92%
Singles /BIP	25.00%	÷1.051	×0.680	—	×1.022	16.54%
Doubles /BIP	7.14%	÷0.991	×0.600	—	×1.022	4.42%
Triples /BIP	7.14%	÷1.018	×0.600	—	×1.022	4.31%
Home runs /BIP	0.00%	÷0.847	×0.470	—	×1.022	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 69, 1B 110, 2B 98, 3B 104, K 88, BB 110 — 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).

Result: wOBA .340 → .219; ISO .146 → .087; BABIP .393 → .253. 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
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	pk7: 16
#2Jacob Stallingslast yr '25 career totals — 7 seasons, 1,850 PA	2.8	1,850	33	0	229	310	340	+33	+50	10.3	10.3
/162	664	12	0	+11.9	+17.9	3.7	pk7: 10
#3Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#4Buck Rodgers'61-'69 * career totals — 9 seasons, 3,353 PA	5.0	3,353	31	17	239*	294*	339*	+60	+0	6.4	6.5
/162	664	6	3	+11.8	+0.0	1.3	pk7: 7
#5Fred Kendall'69-'80 * career totals — 8 seasons, 2,823 PA	4.3	2,823	31	5	231*	283*	340*	+48	+1	5.0	5.9
/162	664	7	1	+11.2	+0.1	1.2	pk7: 7
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.3	2,210	42	49	219	293	338	+39	+24	5.0	4.6
/162	664	13	15	+11.9	+7.2	1.5	pk7: 4
#6Ben Davis'98-'04 * career totals — 6 seasons, 1,698 PA	2.6	1,698	38	9	228*	295*	352*	+30	-0	3.6	3.6
/162	664	15	4	+11.5	-0.0	1.4	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
Juan Ortega (OGILVIE)	21	32→37	37→42	56→61	55	209/285/310	102	273	2	3	25%	7%	72	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Juan Mora 2021 · A	21	40	39→45	53→55	52	192/277/280	88	229	6	14	19%	8%	61	-1.5	221/287/329	108	296	9	10	27%	6%	75	-0.5	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Jeter Downs 2019 · A	21	42→41	43→50	52→55	44	208/273/317	109	269	11	18	26%	7%	68	-1.0	210/276/360	150	277	17	18	29%	7%	79	-0.2	176/270/315	139	246	15	26	33%	9%	66	-0.6
✕Jared Serna 2023 · A	21	40→48	42→45	54→50	51	196/289/300	104	251	9	21	24%	9%	71	-0.8	219/276/335	116	269	11	15	22%	6%	72	-0.7	216/271/322	106	262	11	16	21%	6%	65	-1.1
✕Cayden Wallace 2023 · A	21	46→49	42→50	57→50	43	224/279/341	116	300	8	15	27%	6%	74	-0.5	220/277/337	117	289	10	12	26%	6%	73	-0.6	232/281/372	140	285	16	15	24%	5%	80	-0.1
✕Chris Suero 2024 · A	20	41→38	41→45	50→55	50	196/295/291	95	281	8	8	31%	10%	71	-0.8	193/290/309	116	280	12	20	33%	10%	74	-0.6	181/287/307	126	264	14	27	34%	10%	70	-0.7
✕Evan Van Hoosier 2015 · A	21	47	44→50	56→50	44	229/282/358	129	287	10	10	23%	6%	80	-0.2	230/274/338	108	308	6	9	26%	5%	72	-0.7	232/275/343	110	324	5	10	28%	4%	70	-0.3
✕Kenedy Corona 2021 · A	21	46→42	42→50	53→55	46	221/284/328	107	271	8	14	21%	6%	74	-0.5	210/267/329	119	292	12	21	31%	6%	68	-1.0	203/263/338	135	278	15	26	31%	6%	66	-0.8
✕Christian Cairo 2022 · A	21	41→49	40	53→60	46	191/289/283	92	297	8	16	35%	10%	67	-1.1	200/301/282	82	297	6	18	31%	11%	71	-0.8	219/314/286	67	298	3	31	25%	10%	75	-0.4
✕Danny De Andrade 2024 · A	20	41	42→45	51→50	45	201/277/305	104	269	9	11	28%	8%	67	-1.1	201/270/315	114	278	10	11	30%	7%	66	-1.1	190/254/309	120	266	11	10	31%	6%	56	-1.1
✕Tucker Mitchell 2022 · A	21	42	40→50	51→45	39	201/262/292	91	296	7	7	33%	6%	57	-1.8	195/270/308	113	293	13	8	36%	7%	65	-1.2	180/256/294	114	253	15	7	34%	7%	55	-0.8
✕Sean Coyle 2013 · A	21	40→38	45→50	54→50	38	199/264/327	128	286	12	13	34%	6%	67	-1.1	211/271/364	153	307	18	14	36%	6%	78	-0.3	204/267/368	165	294	22	15	37%	7%	75	-0.2
✕Glenn Santiago 2022 · A	21	42	39→40	51→45	49	202/274/291	88	241	7	11	19%	7%	62	-1.4	201/261/287	86	290	7	8	31%	7%	56	-1.9	185/249/263	77	271	7	8	32%	7%	44	-1.1
✕Jason Taylor 2009 · A	21	43→40	46→50	53→55	51	214/301/343	129	269	14	20	25%	10%	84	+0.2	213/273/327	114	268	11	17	24%	7%	70	-0.9	205/251/306	101	252	8	18	21%	5%	55	-0.6
✕José Caballero 2018 · A	21	47→45	39→45	54→70	39	222/273/314	92	299	6	7	27%	5%	66	-1.1	222/292/327	105	280	8	19	23%	7%	77	-0.3	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Christian Cerda 2023 · A	20	40	39→45	50→40	53	189/279/278	88	244	6	9	23%	10%	61	-1.5	198/297/302	104	263	10	4	26%	12%	74	-0.5	187/288/292	105	240	12	2	26%	12%	67	-0.7
✕Jorge Alcantara 2013 · A	21	42	41→45	50	42	200/270/298	98	297	8	11	33%	8%	62	-1.4	192/261/284	92	292	6	14	34%	8%	55	-1.9	143/221/238	95	216	5	25	34%	8%	30	-1.0
✕Brainer Bonaci 2023 · A	21	45→46	40→45	55→50	53	211/302/310	100	290	7	16	27%	11%	77	-0.3	227/287/348	121	312	12	11	29%	8%	80	-0.2	232/274/365	133	311	17	8	30%	5%	76	-0.3
✕Brett Martinez 2006 · A	22	43→40	41→40	54→50	45	207/278/303	97	283	8	8	28%	8%	67	-1.1	199/257/265	66	283	5	7	29%	7%	49	-2.4	190/244/239	49	270	5	5	30%	6%	36	-2.2
✕Max Wagner 2023 · A	21	46→38	41→50	53→50	44	218/294/323	105	304	8	9	29%	7%	77	-0.3	197/265/314	117	297	11	16	35%	7%	64	-1.3	191/259/328	137	284	16	13	37%	7%	62	-0.9
✕Allan Castro 2024 · A	21	42→45	42→45	52→50	47	205/277/316	111	276	7	12	27%	8%	69	-0.9	213/282/329	116	284	11	15	27%	8%	74	-0.6	212/279/324	113	274	12	17	26%	8%	69	-0.7

Juan Ortega

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps