Capri Ortiz

SS Tri-City Dust Devils

Age 22 R/R 6'0" / 182 lbs A+ K +5%HR +4% Svc 0.0 · Ctrl thru 2033

Overview

A+PROSPECTMiLBFA 2034

OGV OFP35OGV rank#1870ETA2030MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	19	ASEA	462	.265/.361/.368	4	22	61	—	.211/.285/.283
2025	20	A+LAA	399	.229/.305/.322	5	27	47	—	.199/.262/.276
2026	21	A+LAA	443	.232/.294/.350	8	38	41	—	.192/.244/.283
2027PROJMLE	22	MLBLAA	1	.194/.250/.278	0	0	50	-0.0
2028PROJ25% MLB	23	MLBLAA	105	.200/.258/.298	2	4	57	-0.1
2029PROJ36% MLB	24	MLBLAA	170	.205/.264/.311	3	7	63	-0.0

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2033Service0.0First FA2034

2027MiLB2028Pre-Arb$0.8M2029Pre-Arb$0.8M2030Pre-Arb$0.8M2031Arb-1$1M2032Arb-2$3M2033Ext$7M

Skills · percentileMiLB Statcast 2026 A+

Speed78

Z-Con%53

K%51

ISO32

Whiff%28

wRC+22

Career WAR0.0 WAR median (P10 -0.1 / P90 3.0, comp-based) · star 1% · didn't stick 87%

CompsYhoswar Garcia (age 22) · Tyler James (age 21) · Wes Rogers (age 22)

2027 FULL-SEASON PROJECTIONstats below = full-season projection

showingPROJ

wRC+†50

AVG/OBP/SLG.194 / .250 / .278

PA1

HR0

K%29

BB%5

BABIP266

ISO78

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Pre-Arb	$0.8M	—	—	—
2030	Pre-Arb	$0.8M	+0.1	$0.3M	+$0.0M (cut)
2031	Arb-1	$1M	+0.1	$0.3M	+$0.0M (cut)
2032	Arb-2	$3M	+0.2	$0.5M	+$0.0M (cut)
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.8M	+$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 Angels	—	213	191	46	7	5	2	14	52	4	16	8	241	306	361	667	120	319	24	7	295	15	—	—	—	—	—	—
2023	18	ROK	ACL Angels	—	230	194	53	8	3	0	29	68	3	30	7	273	376	345	721	72	417	30	13	329	39	—	—	—	—	—	—
2024	19	A	Inland Empire 66ers	—	462	400	106	15	7	4	50	127	10	22	8	265	361	367	728	102	378	27	11	332	61	—	—	—	—	—	—
2025	20	A+	Tri-City Dust Devils	—	399	354	81	12	3	5	32	81	7	27	6	229	305	322	627	93	283	20	8	284	47	—	—	—	—	—	—
2026	21	A+	Tri-City Dust Devils	—	443	400	93	19	2	8	25	105	10	38	13	233	294	350	644	117	292	24	6	287	41	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	17	ROK MLE	DSL Angels	—	213	196	30	5	3	1	9	65	4	16	8	153	206	224	430	71	216	31	4	191	15	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	230	204	38	5	2	0	19	103	3	30	7	186	265	230	496	44	359	45	8	226	39	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	462	417	88	11	5	3	33	181	10	22	8	211	285	283	568	72	361	39	7	258	61	—	—	—	—	—	—
2025	20	A+ MLE	Tri-City Dust Devils	—	399	362	72	10	3	4	24	107	7	27	6	199	262	276	538	77	263	27	6	238	47	—	—	—	—	—	—
2026	21	A+ MLE	Tri-City Dust Devils	—	443	407	78	15	2	6	18	142	10	38	13	192	244	283	526	91	263	32	4	229	41	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	213	196	30	5	3	1	9	65	4	16	8	153	206	224	430	71	221	31	4	191	15	—	—	—	—	—	—
2022	17	ROK RAW	DSL Angels	—	213	191	46	7	5	2	14	52	4	16	8	241	306	361	667	120	319	24	7	295	15	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	230	204	38	5	2	0	19	103	3	30	7	186	265	230	496	44	373	45	8	226	39	—	—	—	—	—	—
2023	18	ROK RAW	ACL Angels	—	230	194	53	8	3	0	29	68	3	30	7	273	376	345	721	72	417	30	13	329	39	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	462	417	88	11	5	3	33	181	10	22	8	211	285	283	568	72	363	39	7	258	61	—	—	—	—	—	—
2024	19	A RAW	Inland Empire 66ers	—	462	400	106	15	7	4	50	127	10	22	8	265	361	367	728	102	378	27	11	332	61	—	—	—	—	—	—
2025	20	A+ MLE	Tri-City Dust Devils	—	399	362	72	10	3	4	24	107	7	27	6	199	262	276	538	77	270	27	6	238	47	—	—	—	—	—	—
2025	20	A+ RAW	Tri-City Dust Devils	—	399	354	81	12	3	5	32	81	7	27	6	229	305	322	627	93	283	20	8	284	47	—	—	—	—	—	—
2026	21	A+ MLE	Tri-City Dust Devils	—	443	407	78	15	2	6	18	142	10	38	13	192	244	283	526	91	274	32	4	229	41	—	—	—	—	—	—
2026	21	A+ RAW	Tri-City Dust Devils	—	443	400	93	19	2	8	25	105	10	38	13	233	294	350	644	117	292	24	6	287	41	—	—	—	—	—	—
2022	17	ROK MLE	DSL Angels	—	213	198	30	5	3	1	9	65	4	16	8	152	206	222	428	71	216	31	4	191	15	—	—	—	—	—	—
2023	18	ROK MLE	ACL Angels	—	230	206	38	5	2	0	19	103	3	30	7	184	265	228	494	44	359	45	8	226	39	—	—	—	—	—	—
2024	19	A MLE	Inland Empire 66ers	—	462	416	88	11	5	3	33	181	10	22	8	212	285	284	568	72	361	39	7	258	61	—	—	—	—	—	—
2025	20	A+ MLE	Tri-City Dust Devils	—	399	365	72	10	3	4	24	107	7	27	6	197	262	274	536	77	263	27	6	238	47	—	—	—	—	—	—
2026	21	A+ MLE	Tri-City Dust Devils	—	443	412	78	15	2	6	18	142	10	38	13	189	244	279	523	90	263	32	4	229	41	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	19	A MLE	Inland Empire 66ers	—	462	416	88	11	5	3	33	181	10	22	8	212	285	284	568	72	361	39	7	258	61	—	—	—	—	—	—
2025	20	A+ MLE	Tri-City Dust Devils	—	399	365	72	10	3	4	24	107	7	27	6	197	262	274	536	77	263	27	6	238	47	—	—	—	—	—	—
2026	21	A+ MLE	Tri-City Dust Devils	—	443	412	78	15	2	6	18	142	10	38	13	189	244	279	523	90	263	32	4	229	41	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	LAA	0%	553	510	100	17	3	7	29	160	9	23	7	195	252	280	532	85	268	29	5	242	50	-33	+2	+4	+6	+12	-0.4
▸ 2027 — real world (MLB)
2027	22	MLB CTX	LAA	0%	1	1	0	0	0	0	0	0	0	0	0	194	250	278	528	84	266	0	0	241	50	-0	+0	+0	+0	+0	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	LAA	25%	419	386	77	13	2	7	23	118	7	17	5	202	259	299	559	98	270	28	5	253	57	-21	+1	+3	+4	+9	-0.3
2029	24	MLB MLE	LAA	36%	467	429	88	15	3	8	27	130	8	19	6	206	265	312	578	106	272	28	6	261	63	-21	+1	+4	+5	+10	-0.1
2030	25	MLB MLE	LAA	43%	494	453	95	16	3	10	30	135	8	20	6	209	269	320	590	111	273	27	6	266	66	-20	+2	+4	+5	+11	0.2
2031	26	MLB MLE	LAA	47%	507	463	98	17	3	10	31	138	8	20	6	211	272	324	596	114	274	27	6	269	68	-19	+2	+4	+5	+11	0.3
2032	27	MLB MLE	LAA	48%	511	466	98	17	3	10	32	138	8	19	6	211	273	326	599	115	274	27	6	270	69	-19	+1	+4	+5	+11	0.3
2028	23	MLB CTX	LAA	25%	105	96	20	3	1	2	6	30	2	4	1	200	258	298	556	97	268	29	6	252	57	-5	+0	+1	+1	+2	-0.1
2029	24	MLB CTX	LAA	36%	170	155	32	5	1	3	10	47	3	7	2	205	264	311	575	106	270	28	6	260	63	-8	+1	+1	+2	+4	-0.0
2030	25	MLB CTX	LAA	43%	212	194	40	7	1	4	13	58	3	8	3	208	268	319	587	111	271	27	6	265	66	-9	+0	+2	+2	+5	0.1
2031	26	MLB CTX	LAA	47%	236	215	46	8	1	5	15	64	4	9	3	209	271	323	594	114	271	27	6	268	68	-9	+1	+2	+3	+5	0.1
2032	27	MLB CTX	LAA	48%	243	222	47	8	1	5	15	66	4	9	3	210	272	324	597	114	272	27	6	269	69	-9	+1	+2	+3	+5	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	966	882	185	31	5	19	59	265	16	37	12	210	272	321	593	111	275	27	6	264	56	-39	+3	+8	+10	+21	0.3
/ 162G	—	A+C		—	650	593	124	21	3	13	40	178	11	25	8	209	272	320	592	111	274	27	6	264	56	-26	+2	+5	+7	+14	0.2
Career	—	MLE		—	4355	3976	800	131	30	61	257	1318	77	237	74	201	263	295	558	94	282	30	6	251	56	-113	+8	+21	+28	+57	0.1
/ 162G	—	MLE		—	650	593	119	20	4	9	38	197	11	35	11	201	261	293	555	93	282	30	6	251	56	-28	+2	+5	+7	+14	0.0

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 A+Tri-City Dust Devils · 443 PAwOBA .282 → .229 (−52)K% 23.7% → 32.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.70%	÷1.000	×1.350	—	—	32.00%
BB% (unintentional) /PA	5.64%	÷1.000	×0.710	—	×1.027	4.11%
HBP% /PA	2.26%	—	×0.810	—	×1.027	1.88%
Singles /BIP	21.69%	÷1.000	×0.910	×0.988	×1.027	20.04%
Doubles /BIP	6.44%	÷1.000	×0.830	×0.988	×1.027	5.43%
Triples /BIP	0.68%	÷1.000	×0.820	×0.988	×1.027	0.56%
Home runs /BIP	2.71%	÷1.000	×0.830	—	×1.027	2.31%

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 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 ×0.988.

Result: wOBA .282 → .229; ISO .117 → .093; BABIP .292 → .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).

2025 A+Tri-City Dust Devils · 399 PAwOBA .277 → .238 (−39)K% 20.3% → 26.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	20.30%	÷1.019	×1.350	—	—	26.89%
BB% (unintentional) /PA	7.77%	÷0.975	×0.710	—	×1.042	5.90%
HBP% /PA	1.75%	—	×0.810	—	×1.042	1.48%
Singles /BIP	22.34%	÷1.019	×0.910	×1.010	×1.042	21.00%
Doubles /BIP	4.40%	÷0.975	×0.830	×1.010	×1.042	3.94%
Triples /BIP	1.10%	÷0.900	×0.820	×1.010	×1.042	1.05%
Home runs /BIP	1.83%	÷1.000	×0.830	—	×1.042	1.58%

Factors used: level-wide A+ factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 100, 1B 104, 2B 95, 3B 80, K 104, BB 95 — 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 ×1.010.

Result: wOBA .277 → .238; ISO .093 → .080; BABIP .283 → .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).

2024 AInland Empire 66ers · 462 PAwOBA .324 → .258 (−66)K% 27.5% → 39.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	27.49%	÷0.957	×1.360	—	—	39.08%
BB% (unintentional) /PA	10.61%	÷1.057	×0.690	—	×1.045	7.24%
HBP% /PA	2.16%	—	×0.780	—	×1.045	1.76%
Singles /BIP	29.30%	÷0.983	×0.920	×1.009	×1.045	28.93%
Doubles /BIP	5.49%	÷1.023	×0.830	×1.009	×1.045	4.70%
Triples /BIP	2.56%	÷1.139	×0.910	×1.009	×1.045	2.16%
Home runs /BIP	1.47%	÷0.882	×0.800	—	×1.045	1.39%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 76, 1B 97, 2B 105, 3B 128, K 91, BB 111 — 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 ×1.009.

Result: wOBA .324 → .258; ISO .102 → .079; BABIP .378 → .361. 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 Angels · 230 PAwOBA .322 → .226 (−96)K% 29.6% → 44.6%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	29.57%	÷0.955	×1.440	—	—	44.60%
BB% (unintentional) /PA	12.61%	÷0.978	×0.620	—	×1.022	8.17%
HBP% /PA	1.30%	—	×0.720	—	×1.022	0.96%
Singles /BIP	33.33%	÷0.970	×0.820	×1.027	×1.022	29.59%
Doubles /BIP	6.35%	÷1.001	×0.720	×1.027	×1.022	4.80%
Triples /BIP	2.38%	÷0.961	×0.720	×1.027	×1.022	1.87%
Home runs /BIP	0.00%	÷0.910	×0.780	—	×1.022	0.00%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 82, 1B 94, 2B 100, 3B 92, K 91, BB 96 — 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 ×1.027.

Result: wOBA .322 → .226; ISO .072 → .047; BABIP .417 → .359. 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 Angels · 213 PAwOBA .289 → .191 (−98)K% 24.4% → 30.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	24.41%	÷0.976	×1.220	—	—	30.53%
BB% (unintentional) /PA	6.57%	÷1.074	×0.700	—	×1.022	4.38%
HBP% /PA	1.88%	—	×0.700	—	×1.022	1.34%
Singles /BIP	23.02%	÷1.016	×0.680	×0.997	×1.022	15.71%
Doubles /BIP	5.04%	÷0.863	×0.600	×0.997	×1.022	3.57%
Triples /BIP	3.60%	÷0.964	×0.600	×0.997	×1.022	2.28%
Home runs /BIP	1.44%	÷0.801	×0.470	—	×1.022	0.86%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 60, 1B 103, 2B 73, 3B 93, K 95, BB 115 — 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 ×0.997.

Result: wOBA .289 → .191; ISO .120 → .076; BABIP .319 → .216. 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
#1Dylan Moorelast yr '25 career totals — 7 seasons, 1,922 PA	2.9	1,922	63	118	206	310	383	+4	+8	6.6	6.6
/162	664	22	41	+1.3	+2.7	2.3	pk7: 7
#2Pokey Reese'97-'04 * career totals — 8 seasons, 3,138 PA	4.7	3,138	44	144	238*	292*	339*	+19	+41	4.0	4.7
/162	664	9	30	+4.0	+8.7	0.8	pk7: 5
#3Chris Getzlast yr '13 career totals — 5 seasons, 1,539 PA	2.3	1,539	3	86	251	310	309	+5	+12	2.7	2.7
/162	664	1	37	+2.4	+5.1	1.2	pk7: 3
#4Enzo Hernandez'71-'78 * career totals — 6 seasons, 2,612 PA	3.9	2,612	2	129	222*	281*	294*	+28	+4	1.6	1.9
/162	664	1	33	+7.0	+1.0	0.4	pk7: 2
#5Pete Mackanin'73-'81 * career totals — 6 seasons, 1,686 PA	2.5	1,686	30	27	222*	261*	370*	+6	+23	0.6	1.6
/162	664	12	11	+2.4	+8.9	0.2	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.5	967	18	38	210	267	320	+3	+8	-0.6	-0.3
/162	664	13	26	+2.4	+5.5	-0.4	pk7: 0
#6Alexi 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

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
Capri Ortiz (OGILVIE)	22	—	—	—	—	194/250/278	84	268	2	9	29%	5%	50	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Yhoswar Garcia 2024 · A	22	39	37→30	58→70	39	190/246/264	74	268	4	27	30%	5%	45	-2.7	209/257/270	61	275	2	42	23%	6%	49	-2.4	208/255/258	50	270	1	58	22%	6%	44	-1.6
✕Tyler James 2018 · A	21	44	36→30	64→65	42	203/264/279	76	291	2	27	29%	7%	55	-2.0	217/280/291	74	327	4	27	32%	7%	63	-1.3	224/290/283	58	344	4	45	33%	7%	61	-0.6
✕Wes Rogers 2016 · A	22	47→51	39→40	65	44	225/283/314	88	297	6	35	25%	6%	70	-0.9	223/278/313	90	298	6	34	25%	6%	68	-1.0	218/272/304	87	291	6	36	26%	6%	61	-1.2
✕Jose Ramos 2024 · A	21	36	38→40	59→55	43	175/251/257	81	256	4	23	31%	7%	46	-2.6	195/280/275	80	288	5	23	31%	9%	61	-1.5	194/290/265	72	282	5	28	30%	11%	60	-0.5
✕Randy Romero 2022 · A	22	44	35→40	59→60	44	203/246/267	64	246	2	21	18%	5%	45	-2.7	199/243/266	67	290	4	13	31%	5%	43	-2.8	168/200/203	36	259	3	19	36%	3%	12	-1.0
✕Jose Curpa 2022 · A	22	40	36→30	58→55	47	185/274/255	70	288	2	24	33%	10%	55	-2.0	207/297/291	84	313	5	17	32%	9%	71	-0.8	199/309/261	62	300	4	23	31%	11%	68	-0.3
✕Kenny Wilson 2013 · A	23	43→51	37→40	58→60	43	200/275/272	72	286	4	29	29%	7%	58	-1.7	224/281/310	86	309	5	27	27%	6%	68	-1.0	232/284/321	90	316	5	29	27%	6%	68	-0.7
✕Jordyn Adams 2023 · AA	23	42→46	38→45	58→60	37	196/253/273	78	310	5	24	37%	6%	49	-2.4	213/271/323	110	319	10	29	34%	7%	68	-1.0	210/270/327	118	310	11	32	34%	7%	66	-0.9
✕Roberto Caro 2016 · A	22	41→40	37→40	60	50	192/272/272	80	251	2	20	23%	9%	57	-1.8	203/271/276	73	310	2	18	32%	8%	57	-1.8	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Jay Allen II 2024 · A	21	41→47	39→45	58→55	42	193/283/280	87	299	7	32	35%	8%	64	-1.3	200/286/296	96	279	9	24	30%	8%	69	-0.9	202/286/304	103	275	11	24	29%	7%	68	-0.8
✕Todd Hankins 2013 · A	22	41→49	40	59→55	39	195/257/287	93	307	6	23	37%	7%	54	-2.0	197/254/285	88	295	7	24	33%	6%	53	-2.1	200/253/285	85	288	7	25	31%	6%	49	-1.6
✕Terrance Gore 2013 · A	22	47→42	33→30	61→70	46	215/293/262	46	304	1	27	27%	8%	62	-1.4	209/277/245	36	299	1	42	28%	7%	52	-2.2	194/257/241	47	277	1	52	28%	6%	41	-1.0
✕Tyler Tolbert 2021 · A	23	42→48	35→45	58→65	42	193/269/251	58	298	3	21	34%	7%	51	-2.2	192/262/286	94	291	6	38	33%	8%	56	-1.9	222/284/299	77	304	6	60	27%	6%	65	-0.6
✕Jorge Mateo 2017 · A	22	45→50	40→50	61→65	39	214/259/313	98	298	6	34	30%	5%	60	-1.6	205/248/327	122	300	8	28	33%	5%	59	-1.6	217/266/353	136	277	13	42	26%	5%	73	-0.4
✕Joel Booker 2017 · A	23	47→49	36→40	59→55	42	221/282/290	70	291	4	26	24%	6%	65	-1.2	224/274/297	73	312	5	19	28%	5%	62	-1.4	205/254/285	79	297	6	23	32%	4%	50	-1.5
✕Rico Noel 2012 · A	23	43→53	37→30	62→65	44	202/270/275	73	263	4	31	24%	6%	57	-1.8	228/291/280	52	329	2	44	29%	7%	65	-1.2	228/293/276	47	319	1	49	26%	7%	62	-0.9
✕Johan Rojas 2023 · AA	22	44→54	41→45	63→65	42	216/263/320	104	271	8	35	23%	5%	63	-1.3	248/290/352	104	312	8	37	22%	5%	81	-0.1	260/302/359	100	326	7	41	21%	5%	85	+0.2
✕Cooper Bowman 2023 · A	23	39→44	43→45	59→60	44	194/276/302	108	285	11	31	34%	9%	66	-1.1	210/284/328	118	287	11	35	29%	8%	74	-0.5	210/283/330	120	279	11	40	27%	8%	72	-0.5
✕Darin Mastroianni 2009 · A	23	41→51	38→40	60	41	200/252/275	76	276	5	22	29%	6%	49	-2.4	251/316/325	74	320	3	35	21%	8%	84	+0.2	261/328/336	76	325	2	38	19%	9%	88	+0.4
✕Miguel Hiraldo 2023 · A	22	41→46	43→45	56→55	38	200/251/308	108	302	10	21	36%	6%	57	-1.8	216/263/319	103	337	10	20	37%	5%	63	-1.3	221/269/319	98	346	9	22	37%	5%	63	-0.7

Capri Ortiz

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps