Jirvin Morillo

C ACL Reds

Age 20 S/R 5'11" / 177 lbs ROK HR +16%BB +6% Svc 0.0 · Ctrl thru 2035

Overview

ROKPROSPECTMiLBFA 2036

OGV OFP40OGV rank#164ETA2028MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKCIN	156	.254/.448/.447	2	3	70	—	.152/.312/.264
2025	18	ROK/INTL2 orgs	231	.270/.376/.429	5	6	70	—	.146/.245/.228
2026	19	A/ROKCIN	329	.303/.436/.580	15	5	98	—	.217/.313/.409
2027PROJMLE	20	MLBCIN	439	.226/.311/.365	10	6	92	0.6
2028PROJ43% MLB	21	MLBCIN	119	.231/.317/.382	3	2	95	0.3
2029PROJ61% MLB	22	MLBCIN	231	.234/.320/.389	6	3	98	0.7

Next 3 projected WAR 1.6Projected 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$4M2034Arb-2$7M+1

Skills · percentileMiLB Statcast 2026 A

BB%87

Max EV83

Chase%78

K%61

Speed38

Z-Con%19

Career WAR0.0 WAR median (P10 0.0 / P90 18, comp-based) · star 3% · didn't stick 77%

CompsLeo Bernal (age 20) · Juan Brito (age 21) · Moisés Ballesteros (age 19)

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

wRC+†92

AVG/OBP/SLG.224 / .309 / .361

PA210

HR5

K%25

BB%10

ISO139

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$43M 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	+1.1	$7M	+$6M
2031	Pre-Arb	$0.9M	+1.2	$7M	+$7M
2032	Pre-Arb	$0.9M	+1.3	$7M	+$7M
2033	Arb-1	$4M	+1.3	$7M	+$4M
2034	Arb-2	$7M	+1.2	$6M	+$2M
2035	Arb-3	$9M	+1.1	$5M	+$1.0M
Totals		$22M		$38M	+$27M

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)
2024	17	ROK	DSL Reds	—	156	114	29	14	1	2	40	21	0	3	2	254	448	447	895	193	290	13	26	401	70	—	—	—	—	—	—
2025	18	ROK	DSL Reds	—	139	116	30	8	0	4	23	25	0	6	2	259	381	431	812	172	299	18	17	366	36	—	—	—	—	—	—
2025	18	INTL	Sydney Blue Sox	—	92	80	23	6	1	1	10	28	0	0	3	287	367	425	792	138	415	30	11	347	121	—	—	—	—	—	—
2026	19	A	Daytona Tortugas	—	94	77	20	5	0	2	17	22	0	1	0	260	394	403	796	143	340	23	18	364	82	—	—	—	—	—	—
2026	19	ROK	ACL Reds	—	235	187	60	13	5	13	44	61	1	4	2	321	453	652	1.105	332	409	26	19	466	104	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Reds	—	156	125	19	9	1	1	29	27	0	3	2	152	312	264	576	112	181	17	19	272	70	—	—	—	—	—	—
2025	18	ROK MLE	DSL Reds	—	139	123	18	4	0	2	16	31	0	6	2	146	245	228	472	81	181	22	12	221	36	—	—	—	—	—	—
2026	19	A MLE	Daytona Tortugas	—	94	82	18	4	0	2	12	30	0	1	0	220	319	341	661	122	319	32	13	290	82	—	—	—	—	—	—
2026	19	ROK MLE	ACL Reds	—	235	204	44	9	3	10	27	88	1	4	2	216	310	436	747	221	312	37	11	322	104	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	156	125	19	9	1	1	29	27	0	3	2	152	312	264	576	112	182	17	19	272	70	—	—	—	—	—	—
2024	17	ROK RAW	DSL Reds	—	156	114	29	14	1	2	40	21	0	3	2	254	448	447	895	193	290	13	26	401	70	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	231	203	30	7	0	3	26	51	0	6	5	148	245	227	471	79	179	22	11	221	36	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	231	196	53	14	1	5	33	53	0	6	5	270	376	429	804	158	343	23	14	359	36	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	329	285	61	13	3	11	40	118	1	5	2	214	313	396	709	182	316	36	12	313	98	—	—	—	—	—	—
2026	19	ROK RAW	2 teams	—	329	264	80	18	5	15	61	83	1	5	2	303	436	580	1.015	277	387	25	19	437	98	—	—	—	—	—	—
2024	17	ROK MLE	DSL Reds	—	156	126	19	9	1	1	29	27	0	3	2	151	312	262	574	111	181	17	19	272	70	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	231	203	30	7	0	3	26	51	0	6	5	148	245	227	471	79	181	22	11	221	36	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	329	285	61	13	3	11	40	118	1	5	2	214	313	396	709	182	314	36	12	313	98	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Reds	—	156	126	19	9	1	1	29	27	0	3	2	151	312	262	574	111	181	17	19	272	70	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	231	203	30	7	0	3	26	51	0	6	5	148	245	227	471	79	181	22	11	221	36	—	—	—	—	—	—
2026	19	ROK MLE	2 teams	—	329	285	61	13	3	11	40	118	1	5	2	214	313	396	709	182	314	36	12	313	98	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	CIN	0%	439	388	88	18	3	10	45	110	3	6	2	226	311	365	676	139	286	25	10	304	92	-4	+0	-4	+8	+10	0.6
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	CIN	43%	276	244	56	11	2	7	28	68	2	4	1	229	315	373	688	144	287	25	10	309	95	-2	+0	-2	+5	+6	0.8
2029	22	MLB MLE	CIN	61%	379	334	77	15	2	10	39	92	3	6	2	232	317	380	697	148	288	24	10	312	98	-1	+0	-3	+7	+8	1.2
2030	23	MLB MLE	CIN	68%	444	392	92	18	3	12	45	107	4	6	2	234	319	385	704	151	289	24	10	315	99	-0	+0	-2	+8	+10	1.5
2031	24	MLB MLE	CIN	70%	445	393	92	18	3	12	45	106	4	6	2	236	320	388	709	153	290	24	10	317	101	+0	+0	-2	+8	+10	1.7
2032	25	MLB MLE	CIN	70%	445	393	93	18	3	12	45	106	4	6	2	236	321	390	711	154	290	24	10	318	101	+1	+0	-1	+8	+10	1.8
2033	26	MLB MLE	CIN	71%	445	393	93	18	3	12	45	106	4	6	2	236	320	390	710	154	289	24	10	317	101	+1	+0	-1	+8	+10	1.8
2034	27	MLB MLE	CIN	69%	445	393	92	18	3	12	45	106	4	6	2	235	319	387	707	152	289	24	10	316	100	+0	+0	-1	+8	+10	1.7
2035	28	MLB MLE	CIN	69%	445	394	92	18	3	12	45	107	3	5	2	233	317	382	700	149	288	24	10	313	98	-1	+0	-2	+8	+10	1.6
2036	29	MLB MLE	CIN	67%	445	394	90	18	2	11	45	109	3	4	2	231	315	376	690	145	286	24	10	310	96	-2	+0	-2	+8	+10	1.3
2037	30	MLB MLE	CIN	66%	445	394	90	18	2	11	45	110	3	4	2	227	311	368	678	140	284	25	10	305	92	-4	+0	-3	+8	+10	1.1
2038	31	MLB MLE	CIN	71%	426	378	84	16	2	10	42	107	3	2	6	223	306	358	663	135	281	25	10	299	88	-6	-2	-4	+8	+9	0.5
2039	32	MLB MLE	CIN	74%	407	362	79	15	2	9	40	104	2	3	7	218	300	345	644	127	277	26	10	291	83	-8	-2	-4	+7	+9	0.1
2040	33	MLB MLE	CIN	77%	362	322	68	13	2	7	35	95	2	2	25	211	292	329	621	118	272	26	10	282	77	-10	-10	-5	+6	+8	-1.0
2028	21	MLB CTX	CIN	43%	119	105	25	5	1	3	12	29	1	2	1	231	317	382	699	150	288	24	10	313	95	-1	+0	-1	+2	+3	0.3
2029	22	MLB CTX	CIN	61%	231	203	47	9	1	6	24	56	2	3	1	234	320	389	708	154	289	24	10	317	98	-1	+0	-2	+4	+5	0.7
2030	23	MLB CTX	CIN	68%	302	266	63	12	2	9	31	73	2	4	1	236	321	394	715	157	290	24	10	319	99	-0	+0	-2	+5	+7	1.1
2031	24	MLB CTX	CIN	70%	310	272	66	13	2	9	32	74	3	4	1	238	323	398	720	159	291	24	10	321	101	+0	+0	-1	+6	+7	1.2
2032	25	MLB CTX	CIN	70%	313	275	66	13	2	9	32	74	3	4	1	239	323	400	723	161	291	24	10	322	101	+0	+0	-1	+6	+7	1.3
2033	26	MLB CTX	CIN	71%	314	276	66	13	2	9	32	75	3	4	1	239	323	399	722	160	291	24	10	322	101	+0	+0	-1	+6	+7	1.3
2034	27	MLB CTX	CIN	69%	309	273	64	12	2	9	31	74	2	4	1	238	322	396	718	159	290	24	10	320	100	+0	+0	-1	+6	+7	1.2
2035	28	MLB CTX	CIN	69%	306	270	64	12	2	9	31	74	2	3	1	236	320	391	711	156	289	24	10	318	98	-1	+0	-1	+5	+7	1.1
2036	29	MLB CTX	CIN	67%	297	263	62	12	2	8	30	72	2	3	1	233	317	384	701	152	287	24	10	314	96	-2	+0	-2	+5	+6	0.9
2037	30	MLB CTX	CIN	66%	293	260	60	11	2	8	29	72	2	2	2	230	313	376	689	146	285	25	10	309	92	-3	-0	-2	+5	+6	0.7
2038	31	MLB CTX	CIN	71%	302	267	61	11	2	8	30	76	2	2	4	225	308	365	673	140	282	25	10	303	88	-4	-1	-3	+5	+7	0.4
2039	32	MLB CTX	CIN	74%	303	268	58	11	1	7	30	78	2	2	5	220	301	352	654	133	278	26	10	295	83	-6	-2	-3	+5	+7	0.1
2040	33	MLB CTX	CIN	77%	278	248	53	10	1	6	27	73	1	1	19	213	294	336	630	123	272	26	10	285	77	-8	-7	-4	+5	+6	-0.8
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3677	3246	755	144	22	100	371	900	27	38	39	233	316	383	699	150	289	24	10	312	92	-23	-8	-21	+66	+80	9.4
/ 162G	—	A+C		—	650	574	133	25	4	18	66	159	5	7	7	232	317	383	700	152	287	24	10	312	92	-4	-1	-4	+12	+14	1.7
Career	—	MLE		—	6335	5584	1249	251	37	157	661	1572	43	77	67	224	311	366	677	143	281	25	10	304	92	-35	-11	-33	+100	+122	14.6
/ 162G	—	MLE		—	650	573	128	26	4	16	68	161	4	8	7	223	310	366	677	143	281	25	10	304	92	-4	-1	-4	+12	+14	1.7

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 ROKACL Reds · 235 PAwOBA .458 → .322 (−136)K% 26.0% → 37.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	25.96%	÷1.000	×1.440	—	—	37.38%
BB% (unintentional) /PA	18.72%	÷1.000	×0.620	—	×1.008	11.70%
HBP% /PA	0.43%	—	×0.720	—	×1.008	0.31%
Singles /BIP	23.02%	÷1.000	×0.820	×0.994	×1.008	18.89%
Doubles /BIP	10.32%	÷1.000	×0.720	×0.994	×1.008	7.44%
Triples /BIP	3.97%	÷1.000	×0.720	×0.994	×1.008	2.86%
Home runs /BIP	10.32%	÷1.000	×0.780	—	×1.008	8.11%

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 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 ×0.994.

Result: wOBA .458 → .322; ISO .332 → .238; BABIP .409 → .312. 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 ADaytona Tortugas · 94 PAwOBA .355 → .290 (−66)K% 23.4% → 31.8%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.40%	÷1.000	×1.360	—	—	31.83%
BB% (unintentional) /PA	18.09%	÷1.000	×0.690	—	×1.045	13.04%
HBP% /PA	0.00%	—	×0.780	—	×1.045	0.00%
Singles /BIP	23.64%	÷1.000	×0.920	×1.011	×1.045	22.98%
Doubles /BIP	9.09%	÷1.000	×0.830	×1.011	×1.045	7.97%
Triples /BIP	0.00%	÷1.000	×0.910	×1.011	×1.045	0.00%
Home runs /BIP	3.64%	÷1.000	×0.800	—	×1.045	3.04%

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 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 ×1.011.

Result: wOBA .355 → .290; ISO .143 → .115; BABIP .340 → .319. 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 Reds · 139 PAwOBA .357 → .221 (−136)K% 18.0% → 22.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	17.99%	÷0.993	×1.220	—	—	22.09%
BB% (unintentional) /PA	16.55%	÷1.038	×0.700	—	×1.008	11.25%
HBP% /PA	0.00%	—	×0.700	—	×1.008	0.00%
Singles /BIP	19.78%	÷0.994	×0.680	×0.950	×1.008	12.96%
Doubles /BIP	8.79%	÷1.065	×0.600	×0.950	×1.008	4.74%
Triples /BIP	0.00%	÷0.900	×0.600	×0.950	×1.008	0.00%
Home runs /BIP	4.40%	÷0.994	×0.470	—	×1.008	2.09%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 99, 1B 99, 2B 113, 3B 80, K 99, 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 ×0.950.

Result: wOBA .357 → .221; ISO .172 → .088; BABIP .299 → .181. 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 Reds · 156 PAwOBA .397 → .272 (−126)K% 13.5% → 17.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	13.46%	÷0.957	×1.220	—	—	17.16%
BB% (unintentional) /PA	25.64%	÷0.994	×0.700	—	×1.022	18.47%
HBP% /PA	0.00%	—	×0.700	—	×1.022	0.00%
Singles /BIP	12.90%	÷1.068	×0.680	×0.977	×1.022	8.21%
Doubles /BIP	15.05%	÷0.960	×0.600	×0.977	×1.022	9.40%
Triples /BIP	1.08%	÷0.901	×0.600	×0.977	×1.022	0.72%
Home runs /BIP	2.15%	÷1.136	×0.470	—	×1.022	0.91%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 127, 1B 114, 2B 92, 3B 80, K 91, BB 99 — 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 ×0.977.

Result: wOBA .397 → .272; ISO .193 → .119; BABIP .290 → .181. 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
#1Johnny Edwards'61-'74 * career totals — 14 seasons, 5,132 PA	7.7	5,132	81	15	240*	313*	380*	+92	+0	16.7	16.2
/162	664	10	2	+11.9	+0.0	2.2	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Robinson Chirinoslast yr '22 career totals — 10 seasons, 2,427 PA	3.7	2,427	95	5	227	320	420	+43	-10	12.9	13.8
/162	664	26	1	+11.9	-2.8	3.5	pk7: 15
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	5.9	3,885	98	43	230	311	375	+69	-18	14.3	12.2
/162	664	17	7	+11.9	-3.0	2.5	pk7: 10
#5Mike Fitzgerald'83-'92 * career totals — 9 seasons, 2,667 PA	4.0	2,667	48	31	234*	320*	372*	+43	-1	9.5	9.3
/162	664	12	8	+10.8	-0.3	2.4	pk7: 9
#6Randy Hundley'64-'77 * career totals — 9 seasons, 3,797 PA	5.7	3,797	82	12	236*	295*	383*	+68	+0	8.0	8.7
/162	664	14	2	+11.8	+0.0	1.4	pk7: 9

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
Jirvin Morillo (OGILVIE)	20	—	—	—	—	224/309/361	137	286	5	3	25%	10%	92	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Leo Bernal 2024 · A	20	45→50	42→45	47→50	49	220/293/323	103	283	9	5	25%	9%	76	-0.4	231/296/349	118	296	13	8	25%	8%	83	+0.1	235/299/362	127	292	15	9	24%	8%	85	+0.2
✕Juan Brito 2023 · A	21	48→50	45→50	48→45	53	234/319/371	136	287	12	11	22%	10%	97	+1.1	231/311/367	136	281	13	9	21%	10%	93	+0.8	225/308/360	135	270	13	9	21%	10%	89	+0.4
●Moisés Ballesteros 2023 · A	19	41→51	46→50	45→40	50	210/283/334	125	261	14	5	25%	9%	76	-0.4	248/309/379	131	301	14	4	21%	8%	95	+0.9	266/327/397	130	316	14	3	20%	8%	104	+1.4
✕Edgar Quero 2024 · AA	21	50→58	45→50	43→40	53	239/334/366	127	305	12	5	24%	11%	102	+1.5	248/321/358	110	304	12	3	21%	8%	95	+0.9	248/318/344	96	299	11	1	20%	8%	89	+0.3
✕Adael Amador 2023 · A	20	53→56	46→50	46→55	55	258/340/385	126	301	13	14	18%	10%	108	+1.9	241/316/374	133	282	15	21	19%	9%	97	+1.1	231/310/357	126	266	13	22	18%	9%	88	+0.4
✕Hao-Yu Lee 2023 · A	20	49→51	44→50	48→55	46	237/306/359	122	312	12	12	27%	8%	89	+0.5	247/312/378	131	315	13	16	24%	7%	96	+1.0	253/317/409	156	313	15	15	23%	7%	103	+1.2
●Daniel Robertson 2014 · A	20	47→57	43→45	37→40	45	231/292/342	111	292	10	3	24%	7%	80	-0.1	252/320/366	114	316	9	3	22%	7%	96	+1.0	256/329/366	110	321	8	2	21%	8%	96	+0.9
✕Michael Arroyo 2024 · A	19	44→51	40→50	46→50	49	208/316/308	101	279	6	7	25%	9%	84	+0.1	228/322/372	144	297	15	11	27%	8%	99	+1.3	232/324/382	150	294	16	12	25%	8%	100	+1.3
✕Miguel Amaya 2019 · A	20	43	44→50	48→40	45	215/283/328	113	270	12	4	24%	7%	74	-0.5	216/296/343	127	275	13	4	25%	8%	83	+0.1	216/325/362	146	296	16	3	30%	10%	98	+0.3
✕Carter Kieboom 2018 · A	20	46→55	48→50	43→45	42	231/293/376	145	306	15	5	29%	7%	88	+0.5	241/311/374	133	318	15	6	27%	8%	95	+0.9	239/318/366	128	315	14	5	27%	9%	93	+0.6
✕Pedro Ramírez 2024 · A	20	48→57	42→45	51→55	48	234/298/345	111	291	9	14	22%	7%	82	+0.0	255/308/360	105	318	8	17	21%	6%	90	+0.6	265/318/375	110	323	9	22	20%	6%	95	+0.8
✕Thayron Liranzo 2023 · A	20	39→43	47→50	48→30	43	197/269/333	136	279	14	5	33%	8%	70	-0.8	211/298/368	157	314	18	2	35%	11%	89	+0.5	200/293/350	150	295	17	1	35%	11%	80	-0.1
●Bryan Rincon 2024 · A	20	43→47	43→45	49→55	54	210/307/319	109	268	10	19	24%	11%	82	-0.0	196/286/316	120	277	12	25	31%	10%	73	-0.6	192/290/337	145	263	17	31	32%	11%	77	-0.2
✕Shawn Zarraga 2009 · A	20	48	40	51→45	49	227/308/323	96	307	7	7	26%	9%	82	+0.0	224/297/299	75	308	5	6	26%	8%	72	-0.7	277/345/359	82	319	4	2	13%	7%	103	+0.5
●Sal Stewart 2024 · A	20	49→53	43→55	48→50	55	236/321/346	110	286	11	10	21%	11%	92	+0.7	249/321/397	148	298	16	12	21%	9%	104	+1.6	255/323/425	170	297	21	13	21%	8%	109	+1.8
✕Jacob Reimer 2024 · A	20	46→49	40→45	44→50	50	217/316/303	86	302	8	5	28%	10%	82	-0.0	226/307/346	120	303	11	9	27%	9%	87	+0.4	226/302/377	150	302	15	14	28%	8%	90	+0.5
✕Angel Martínez 2023 · AA	21	46→50	45→50	48→50	47	228/296/358	131	289	11	11	25%	8%	86	+0.3	231/289/358	127	289	12	10	23%	7%	82	+0.0	236/284/389	154	280	16	12	22%	5%	89	+0.4
✕Diego Velasquez 2024 · A	20	49→59	40	50	46	234/299/328	94	301	7	12	24%	7%	80	-0.2	253/321/334	81	323	4	15	21%	8%	88	+0.5	262/334/335	73	332	3	18	20%	8%	91	+0.6
●Carter Jensen 2024 · A	21	38→48	43→55	50	54	186/291/300	114	264	10	8	31%	13%	72	-0.7	223/305/385	162	297	18	9	29%	10%	95	+1.0	233/312/421	188	299	22	7	28%	10%	105	+1.6
✕Cole Young 2023 · A	20	51→52	45	49→50	47	249/304/371	122	299	13	11	21%	7%	91	+0.6	242/328/367	125	291	10	13	19%	10%	99	+1.3	240/330/363	124	285	10	12	18%	10%	97	+1.0

Jirvin Morillo

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps