Ramiro Dominguez

IF Fort Myers Mighty Mussels

Age 20 R/R 5'9" / 163 lbs A Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#1479ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKMIN	143	.272/.345/.376	2	2	25	—	.171/.230/.225
2025	18	ROKMIN	172	.248/.366/.414	3	16	56	—	.178/.273/.289
2026	19	A+/AMIN	450	.239/.353/.413	12	27	74	—	.201/.298/.342
2027PROJMLE	20	MLBMIN	552	.191/.279/.317	11	17	70	-0.1
2028PROJ34% MLB	21	MLBMIN	138	.197/.286/.331	3	4	76	-0.1
2029PROJ48% MLB	22	MLBMIN	219	.202/.290/.343	5	7	80	-0.0

Next 3 projected WAR -0.2Projected 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

Whiff%77

Speed77

Z-Con%75

K%73

Max EV72

BB%41

Career WAR0.0 WAR median (P10 -0.1 / P90 9.7, comp-based) · star 5% · didn't stick 68%

CompsChe-Hsuan Lin (age 20) · Jose Bernardo Lopez (age 20) · Johan Rojas (age 21)

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

wRC+†70

AVG/OBP/SLG.190 / .277 / .314

PA210

HR4

SB6

K%25

BB%8

ISO126

MLB%0%

Value2027 · WAR

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

Contract

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

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 Twins	—	143	125	34	7	0	2	12	21	2	2	1	272	345	376	721	104	302	15	8	319	25	—	—	—	—	—	—
2025	18	ROK	FCL Twins	—	172	145	36	15	0	3	20	18	7	16	2	248	366	414	780	166	266	10	12	354	56	—	—	—	—	—	—
2026	19	A+	Cedar Rapids Kernels	—	37	30	8	1	1	3	4	8	2	1	0	267	389	667	1.056	400	250	22	11	436	138	—	—	—	—	—	—
2026	19	A	Fort Myers Mighty Mussels	—	413	350	83	25	1	9	45	76	16	26	6	237	350	391	742	154	277	18	11	337	68	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Twins	—	143	129	22	4	0	1	8	26	2	2	1	171	230	225	455	54	187	18	6	205	25	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	172	152	27	11	0	2	13	26	7	16	2	178	273	289	563	112	198	15	8	251	56	—	—	—	—	—	—
2026	19	A+ MLE	Cedar Rapids Kernels	—	37	31	8	1	1	3	3	10	2	1	0	258	361	645	1.006	387	227	27	8	372	138	—	—	—	—	—	—
2026	19	A MLE	Fort Myers Mighty Mussels	—	413	362	71	20	1	7	33	103	16	26	6	196	292	315	607	119	247	25	8	269	68	—	—	—	—	—	—
2024	17	ROK MLE	DSL Twins	—	143	129	22	4	0	1	8	26	2	2	1	171	230	225	455	54	198	18	6	205	25	—	—	—	—	—	—
2024	17	ROK RAW	DSL Twins	—	143	125	34	7	0	2	12	21	2	2	1	272	345	376	721	104	302	15	8	319	25	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	172	152	27	11	0	2	13	26	7	16	2	178	273	289	563	112	202	15	8	251	56	—	—	—	—	—	—
2025	18	ROK RAW	FCL Twins	—	172	145	36	15	0	3	20	18	7	16	2	248	366	414	780	166	266	10	12	354	56	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	450	393	79	21	2	10	36	113	18	27	6	201	298	341	639	140	253	25	8	277	74	—	—	—	—	—	—
2026	19	A RAW	2 teams	—	450	380	91	26	2	12	49	84	18	27	6	239	353	413	767	174	275	19	11	345	74	—	—	—	—	—	—
2024	17	ROK MLE	DSL Twins	—	143	132	22	4	0	1	8	26	2	2	1	167	230	220	450	53	187	18	6	205	25	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	172	150	27	11	0	2	13	26	7	16	2	180	273	293	567	113	198	15	8	251	56	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	450	393	79	21	2	10	36	113	18	27	6	201	298	341	639	140	245	25	8	277	74	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Twins	—	143	132	22	4	0	1	8	26	2	2	1	167	230	220	450	53	187	18	6	205	25	—	—	—	—	—	—
2025	18	ROK MLE	FCL Twins	—	172	150	27	11	0	2	13	26	7	16	2	180	273	293	567	113	198	15	8	251	56	—	—	—	—	—	—
2026	19	A MLE	2 teams	—	450	393	79	21	2	10	36	113	18	27	6	201	298	341	639	140	245	25	8	277	74	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	MIN	0%	552	488	94	24	2	11	43	137	16	17	4	191	279	317	596	126	238	25	8	272	70	-20	+2	-1	+0	+12	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	MIN	34%	403	356	69	17	1	9	32	98	12	13	3	197	285	331	616	134	242	24	8	280	76	-12	+1	-0	+0	+9	-0.2
2029	22	MLB MLE	MIN	48%	451	398	80	19	2	11	37	107	13	15	3	202	290	342	632	140	245	24	8	287	80	-11	+2	-0	+0	+10	0.1
2030	23	MLB MLE	MIN	54%	500	441	92	22	2	13	41	117	14	17	4	206	294	351	645	144	248	23	8	291	83	-10	+2	+0	+0	+11	0.3
2031	24	MLB MLE	MIN	55%	556	490	103	24	2	15	46	129	15	18	4	210	297	357	654	147	251	23	8	295	86	-9	+2	+0	+0	+12	0.5
2032	25	MLB MLE	MIN	56%	590	521	111	26	2	16	49	136	15	19	4	212	299	361	660	149	253	23	8	297	87	-9	+2	+1	+0	+13	0.7
2033	26	MLB MLE	MIN	56%	599	529	112	26	2	16	50	139	15	19	4	212	299	361	659	149	253	23	8	297	87	-9	+2	+1	+0	+13	0.7
2034	27	MLB MLE	MIN	55%	596	526	111	26	2	16	50	139	15	19	4	211	298	358	656	147	252	23	8	296	86	-10	+2	+1	+0	+13	0.6
2035	28	MLB MLE	MIN	55%	585	516	107	25	2	15	49	137	15	16	4	209	295	353	649	145	251	23	8	293	84	-11	+2	+0	+0	+13	0.4
2036	29	MLB MLE	MIN	53%	568	502	103	24	2	14	47	135	14	13	3	206	293	347	639	141	250	24	8	289	82	-12	+1	-1	+0	+12	0.1
2037	30	MLB MLE	MIN	53%	552	488	99	23	2	13	45	133	14	10	3	203	289	339	628	136	248	24	8	285	79	-14	+1	-1	+0	+12	-0.3
2028	21	MLB CTX	MIN	34%	138	122	24	6	1	3	11	33	4	4	1	197	286	331	617	134	242	24	8	280	76	-4	+0	-0	+0	+3	-0.1
2029	22	MLB CTX	MIN	48%	219	193	38	9	1	5	18	52	6	7	2	202	290	343	633	140	245	24	8	287	80	-5	+1	-0	+0	+5	-0.0
2030	23	MLB CTX	MIN	54%	271	239	50	12	1	7	22	63	8	9	2	206	294	351	645	145	248	23	8	292	83	-5	+1	+0	+0	+6	0.2
2031	24	MLB CTX	MIN	55%	308	272	56	13	1	8	25	72	8	10	2	210	297	358	655	148	251	23	8	295	86	-5	+1	+0	+0	+7	0.3
2032	25	MLB CTX	MIN	56%	330	291	61	14	1	9	27	76	9	11	2	212	299	362	661	150	253	23	8	298	87	-5	+1	+0	+0	+7	0.4
2033	26	MLB CTX	MIN	56%	337	297	63	15	1	9	28	78	9	11	2	212	299	361	660	150	253	23	8	297	87	-5	+1	+0	+0	+7	0.4
2034	27	MLB CTX	MIN	55%	330	291	61	14	1	9	28	77	8	10	2	211	298	359	656	148	253	23	8	296	86	-5	+1	+0	+0	+7	0.3
2035	28	MLB CTX	MIN	55%	321	283	59	14	1	8	27	75	8	9	2	209	296	354	650	145	251	23	8	293	84	-6	+1	+0	+0	+7	0.2
2036	29	MLB CTX	MIN	53%	303	267	56	13	1	8	25	72	8	7	2	206	293	347	640	141	250	24	8	289	82	-7	+1	-0	+0	+7	0.0
2037	30	MLB CTX	MIN	53%	290	257	52	12	1	7	24	70	7	5	1	203	289	340	629	136	248	24	8	285	79	-7	+1	-1	+0	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2847	2512	520	122	10	73	235	668	75	83	18	207	294	351	645	144	250	23	8	292	80	-55	+9	+0	+0	+62	1.7
/ 162G	—	A+C		—	650	574	119	28	2	17	54	153	17	19	4	207	295	352	647	145	250	24	8	292	80	-13	+2	+0	+0	+14	0.4
Career	—	MLE		—	6375	5627	1151	277	22	155	519	1487	175	210	46	205	292	344	636	140	248	23	8	287	80	-114	+18	+0	+0	+122	2.6
/ 162G	—	MLE		—	650	574	117	28	2	16	53	152	18	21	5	204	292	343	635	139	246	23	8	287	80	-13	+2	+0	+0	+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 AFort Myers Mighty Mussels · 413 PAwOBA .330 → .269 (−60)K% 18.4% → 25.0%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.40%	÷1.000	×1.360	—	—	25.03%
BB% (unintentional) /PA	10.90%	÷1.000	×0.690	—	×1.045	7.86%
HBP% /PA	3.87%	—	×0.780	—	×1.045	3.16%
Singles /BIP	17.52%	÷1.000	×0.920	×0.966	×1.045	16.27%
Doubles /BIP	9.12%	÷1.000	×0.830	×0.966	×1.045	7.65%
Triples /BIP	0.36%	÷1.000	×0.910	×0.966	×1.045	0.34%
Home runs /BIP	3.28%	÷1.000	×0.800	—	×1.045	2.75%

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 ×0.966.

Result: wOBA .330 → .269; ISO .154 → .125; BABIP .277 → .247. 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 A+Cedar Rapids Kernels · 37 PAwOBA .435 → .372 (−63)K% 21.6% → 27.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	21.62%	÷1.000	×1.270	—	—	27.46%
BB% (unintentional) /PA	10.81%	÷1.000	×0.710	—	×1.050	8.06%
HBP% /PA	5.41%	—	×0.790	—	×1.050	4.48%
Singles /BIP	13.64%	÷1.000	×0.920	—	×1.050	13.17%
Doubles /BIP	4.55%	÷1.000	×0.810	—	×1.050	3.87%
Triples /BIP	4.55%	÷1.000	×0.850	—	×1.050	4.06%
Home runs /BIP	13.64%	÷1.000	×0.800	—	×1.050	11.45%

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 19 vs a level average of 22.8 → +5.0% on BB/HBP/hit rates (3.8 yr younger than average).

Result: wOBA .435 → .372; ISO .400 → .343; BABIP .250 → .227. 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 Twins · 172 PAwOBA .345 → .251 (−94)K% 10.5% → 15.1%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	10.47%	÷0.998	×1.440	—	—	15.10%
BB% (unintentional) /PA	11.63%	÷0.981	×0.620	—	×1.022	7.52%
HBP% /PA	4.07%	—	×0.720	—	×1.022	3.00%
Singles /BIP	14.17%	÷1.028	×0.820	×0.950	×1.022	10.98%
Doubles /BIP	11.81%	÷0.979	×0.720	×0.950	×1.022	8.44%
Triples /BIP	0.00%	÷1.000	×0.720	×0.950	×1.022	0.00%
Home runs /BIP	2.36%	÷1.006	×0.780	—	×1.022	1.87%

Factors used: level-wide ROK factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 101, 1B 106, 2B 96, 3B 100, K 100, 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 ×0.950.

Result: wOBA .345 → .251; ISO .166 → .124; BABIP .266 → .198. 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 Twins · 143 PAwOBA .317 → .205 (−112)K% 14.7% → 17.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	14.69%	÷1.000	×1.220	—	—	17.92%
BB% (unintentional) /PA	7.69%	÷1.010	×0.700	—	×1.022	5.45%
HBP% /PA	1.40%	—	×0.700	—	×1.022	1.00%
Singles /BIP	24.04%	÷1.038	×0.680	×0.950	×1.022	15.30%
Doubles /BIP	6.73%	÷1.006	×0.600	×0.950	×1.022	3.90%
Triples /BIP	0.00%	÷1.115	×0.600	×0.950	×1.022	0.00%
Home runs /BIP	1.92%	÷0.939	×0.470	—	×1.022	0.98%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 88, 1B 108, 2B 101, 3B 123, K 100, 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 ×0.950.

Result: wOBA .317 → .205; ISO .104 → .059; BABIP .302 → .187. 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
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Dylan 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
#3Damian Jackson'96-'06 * career totals — 7 seasons, 2,509 PA	3.8	2,509	32	133	232*	309*	342*	+10	+11	5.7	6.0
/162	664	8	35	+2.5	+3.0	1.5	pk7: 6
#4Pokey 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
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.6	3,058	77	89	207	291	351	+0	+12	3.2	3.1
/162	664	17	19	+0.0	+2.6	0.7	pk7: 3
#6Pedro Garcia'73-'77 * career totals — 5 seasons, 1,967 PA	3.0	1,967	37	35	220*	270*	388*	+6	-6	-0.3	-0.3
/162	664	12	12	+2.1	-2.0	-0.1	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
Ramiro Dominguez (OGILVIE)	20	—	—	—	—	190/277/314	125	238	4	6	25%	8%	70	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Che-Hsuan Lin 2009 · A	20	44→54	41→40	58→55	45	214/276/316	101	271	7	21	23%	6%	68	-1.0	239/308/317	78	289	5	20	18%	8%	80	-0.2	245/318/310	65	292	4	22	16%	8%	79	-0.2
✕Jose Bernardo Lopez 2010 · AAA	20	42	42→30	50	43	211/259/317	106	264	10	16	24%	6%	61	-1.5	242/278/311	69	300	5	14	20%	5%	66	-1.1	280/319/333	53	338	1	12	17%	5%	83	+0.0
✕Johan Rojas 2022 · A	21	45→55	44→45	55→65	43	223/276/341	119	284	11	22	25%	6%	74	-0.6	237/281/346	109	298	8	37	22%	5%	76	-0.4	260/302/359	100	326	7	41	21%	5%	85	+0.2
✕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
✕Tito Polo 2015 · A	20	43→53	39→45	54→60	42	206/268/296	90	278	5	17	27%	6%	61	-1.5	222/276/320	98	295	8	26	26%	5%	69	-0.9	235/290/350	114	311	11	32	27%	5%	78	-0.2
✕Luisangel Acuña 2022 · A	20	46→56	43→45	55→60	44	224/285/329	105	303	11	25	29%	7%	74	-0.5	247/299/356	109	328	10	34	26%	7%	85	+0.2	257/304/361	104	328	9	39	23%	6%	84	+0.2
✕Cristofer Torin 2024 · A	19	46→55	38→40	54→50	54	219/299/292	73	262	5	19	18%	9%	72	-0.7	235/310/323	88	290	7	11	20%	9%	82	+0.0	243/315/341	98	290	8	10	18%	9%	86	+0.3
✕Adan Velazquez 2010 · A	20	41→51	40→45	53→50	45	197/263/292	95	245	6	11	22%	6%	58	-1.7	203/256/288	85	282	5	10	28%	5%	54	-2.0	254/293/350	97	308	8	4	20%	4%	79	-0.1
✕Christian Lopes 2013 · A	20	42→52	42→45	53→50	42	207/256/324	117	265	8	8	25%	5%	62	-1.4	209/263/288	79	265	4	4	22%	6%	56	-1.9	233/301/343	110	279	9	15	19%	8%	81	-0.0
✕Carlos Jimenez 2023 · A	20	35→44	42→50	53→55	51	176/278/284	108	252	10	16	32%	11%	63	-1.3	209/288/321	112	322	10	16	35%	9%	74	-0.5	223/303/376	153	308	17	18	31%	10%	89	+0.4
✕Gilberto Celestino 2019 · A	20	43→53	38→45	52→55	42	209/257/289	80	280	6	12	27%	6%	54	-2.0	226/281/328	102	291	8	8	24%	7%	72	-0.7	239/317/316	76	309	5	10	22%	9%	81	-0.0
✕Ryan Vega 2017 · A	20	44	40	54→45	41	212/260/305	93	270	8	9	24%	5%	59	-1.6	212/271/300	88	287	7	7	27%	6%	63	-1.4	190/257/269	79	268	7	6	30%	7%	50	-1.3
✕José Rodríguez 2021 · A	20	41→51	43→50	52→55	37	208/240/316	109	266	11	11	27%	4%	54	-2.0	248/280/380	132	299	14	24	21%	4%	84	+0.1	248/280/383	135	297	15	29	22%	4%	81	-0.0
✕Delino DeShields 2012 · A	19	41→51	40→45	50→65	42	201/260/289	88	279	8	16	30%	6%	56	-1.9	234/302/339	105	318	8	38	27%	8%	83	+0.1	239/313/347	108	322	9	47	26%	8%	87	+0.3
✕Adrian Pinto 2023 · A	20	47	40→45	60→65	53	222/313/322	100	267	5	29	18%	9%	84	+0.1	234/309/354	120	293	11	18	23%	8%	90	+0.6	231/312/342	111	292	7	11	21%	9%	84	+0.0
✕Malcom Nuñez 2021 · A	20	44→47	42→45	50→45	45	218/278/324	106	272	10	6	24%	7%	71	-0.8	233/296/353	120	301	14	6	26%	7%	84	+0.2	231/300/352	121	297	15	4	26%	8%	82	+0.0
✕Ceddanne Rafaela 2021 · A	20	40→50	42→55	52→55	42	198/252/297	99	246	10	13	24%	5%	55	-2.0	232/272/383	151	296	15	19	26%	4%	82	+0.0	250/287/402	152	300	17	19	22%	4%	93	+0.8
✕Jett Williams 2023 · A	19	45→48	41→50	56→55	44	216/287/317	101	287	8	14	26%	7%	73	-0.6	213/317/337	124	303	10	23	29%	12%	90	+0.6	212/316/350	138	296	11	26	29%	12%	89	+0.4
✕Jorge Barrosa 2021 · A	20	46→52	38→45	55	45	218/283/303	84	283	5	18	24%	6%	68	-1.0	233/297/347	114	294	9	19	23%	7%	83	+0.1	234/307/360	127	282	11	18	20%	9%	86	+0.3
✕Ryan Brett 2012 · A	20	48→58	40→45	57→60	47	227/276/330	103	266	5	18	16%	6%	70	-0.8	251/295/355	104	308	7	26	20%	5%	83	+0.1	266/307/374	108	325	8	30	20%	5%	89	+0.4

Ramiro Dominguez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps