Anderson Fermin

SS Salem RidgeYaks

Age 20 S/R 5'11" / 174 lbs A HR -5%K -4% Svc 0.0 · Ctrl thru 2037

Overview

APROSPECTMiLBFA 2038

OGV OFP35OGV rank#834ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2024	17	ROKDSL Red Sox R…	224	.293/.416/.337	0	12	51	—	.203/.301/.234
2025	18	A/ROK2 orgs	220	.245/.433/.325	0	28	61	—	.176/.318/.226
2026	19	ABOS	276	.249/.396/.330	1	11	72	—	.209/.324/.277
2027PROJMLE	20	MLBBOS	386	.191/.307/.249	1	11	66	0.0
2028PROJ34% MLB	21	MLBBOS	76	.204/.318/.284	1	2	74	0.0
2029PROJ48% MLB	22	MLBBOS	159	.211/.323/.306	2	4	81	0.1

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

Chase%92

BB%88

wOBA61

Speed58

wRC+57

K%51

Career WAR0.0 WAR median (P10 -0.2 / P90 6.3, comp-based) · star 1% · didn't stick 88%

CompsRicardo Ferreira (age 20) · Nasim Nuñez (age 20) · Jesus Galindo (age 19)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 164 proj PA

wRC+†66

AVG/OBP/SLG.189 / .305 / .247

PA164

HR0

SB5

K%29

BB%13

ISO58

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 45 / POW 20

Toolsscout grade

CONTACT45

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED60

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	+0.6	$2M	+$1M
2033	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2034	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2035	Arb-1	$2M	+0.5	$1M	+$0.1M
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$5M		$7M	+$3M

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 Red Sox Red	—	224	181	53	6	1	0	35	22	3	12	6	293	416	337	753	44	325	10	16	346	51	—	—	—	—	—	—
2025	18	A	Salem Red Sox	—	35	25	1	0	0	0	8	12	1	3	0	40	294	40	334		71	34	23	206	-9	—	—	—	—	—	—
2025	18	ROK	FCL Red Sox	—	185	138	39	7	3	0	42	35	3	25	6	283	459	377	836	94	371	19	23	387	74	—	—	—	—	—	—
2026	19	A	Salem RidgeYaks	—	276	221	55	9	3	1	49	66	5	11	8	249	396	330	727	81	348	24	18	342	72	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	17	ROK MLE	DSL Red Sox Red	—	224	192	39	4	1	0	24	28	3	12	6	203	301	234	536	31	222	12	11	244	51	—	—	—	—	—	—
2025	18	A MLE	Salem Red Sox	—	35	27	1	0	0	0	6	17	1	3	0	37	235	37	272		66	49	17	155	-9	—	—	—	—	—	—
2025	18	ROK MLE	FCL Red Sox	—	185	153	31	5	2	0	27	52	3	25	6	203	333	261	595	59	293	28	15	277	74	—	—	—	—	—	—
2026	19	A MLE	Salem RidgeYaks	—	276	235	49	7	3	1	35	90	5	11	8	209	324	277	600	68	327	33	13	274	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL Red Sox Red	—	224	192	39	4	1	0	24	28	3	12	6	203	301	234	536	31	232	12	11	244	51	—	—	—	—	—	—
2024	17	ROK RAW	DSL Red Sox Red	—	224	181	53	6	1	0	35	22	3	12	6	293	416	337	753	44	325	10	16	346	51	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	220	181	32	5	2	0	32	69	4	28	6	177	313	227	540	50	278	31	15	258	60	—	—	—	—	—	—
2025	18	ROK RAW	2 teams	—	220	163	40	7	3	0	50	47	4	28	6	245	433	325	758	80	336	21	23	358	60	—	—	—	—	—	—
2026	19	A MLE	Salem RidgeYaks	—	276	235	49	7	3	1	35	90	5	11	8	209	324	277	600	68	331	33	13	274	72	—	—	—	—	—	—
2026	19	A RAW	Salem RidgeYaks	—	276	221	55	9	3	1	49	66	5	11	8	249	396	330	727	81	348	24	18	342	72	—	—	—	—	—	—
2024	17	ROK MLE	DSL Red Sox Red	—	224	195	39	4	1	0	24	28	3	12	6	200	301	231	532	31	222	12	11	244	51	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	220	182	32	5	2	0	32	69	4	28	6	176	313	225	539	49	257	31	15	258	60	—	—	—	—	—	—
2026	19	A MLE	Salem RidgeYaks	—	276	234	49	7	3	1	35	90	5	11	8	209	324	278	601	68	327	33	13	274	72	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2024	17	ROK MLE	DSL Red Sox Red	—	224	195	39	4	1	0	24	28	3	12	6	200	301	231	532	31	222	12	11	244	51	—	—	—	—	—	—
2025	18	ROK MLE	2 teams	—	220	182	32	5	2	0	32	69	4	28	6	176	313	225	539	49	257	31	15	258	60	—	—	—	—	—	—
2026	19	A MLE	Salem RidgeYaks	—	276	234	49	7	3	1	35	90	5	11	8	209	324	278	601	68	327	33	13	274	72	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	20	MLB MLE	BOS	0%	386	328	63	11	3	1	50	113	5	11	4	191	307	249	556	58	285	29	13	265	66	-16	+1	+0	+4	+8	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	21	MLB MLE	BOS	34%	221	188	38	6	2	2	28	63	3	6	2	199	313	276	590	77	287	29	13	277	74	-7	+0	+0	+2	+5	0.1
2029	22	MLB MLE	BOS	48%	329	279	58	10	2	4	42	92	5	9	4	206	318	299	617	93	288	28	13	287	81	-8	+0	+0	+4	+7	0.3
2030	23	MLB MLE	BOS	54%	404	344	72	12	3	6	51	111	6	11	4	211	321	315	636	104	289	27	13	294	85	-7	+1	+0	+4	+9	0.7
2031	24	MLB MLE	BOS	55%	452	387	83	14	3	8	56	123	6	12	5	215	323	327	650	112	290	27	12	299	88	-6	+0	+0	+5	+10	0.9
2032	25	MLB MLE	BOS	56%	477	409	89	15	3	9	58	128	7	12	5	217	324	334	658	117	291	27	12	302	90	-5	+0	+0	+5	+10	1.1
2033	26	MLB MLE	BOS	56%	490	420	90	15	3	9	60	132	7	12	5	217	324	335	660	118	290	27	12	302	91	-5	+0	+0	+5	+11	1.1
2034	27	MLB MLE	BOS	55%	493	423	91	16	3	9	60	133	7	12	5	216	323	333	656	117	290	27	12	301	90	-6	+0	+0	+5	+11	1.1
2035	28	MLB MLE	BOS	55%	489	420	90	15	3	9	60	133	6	11	5	214	321	328	649	114	289	27	12	298	88	-7	+0	-1	+5	+11	0.9
2036	29	MLB MLE	BOS	53%	479	412	87	15	3	8	58	132	6	10	5	212	319	322	641	110	288	28	12	295	86	-8	+0	-1	+5	+10	0.6
2037	30	MLB MLE	BOS	57%	467	401	83	14	3	7	57	130	6	9	5	209	315	314	630	105	286	28	12	290	83	-10	-0	-2	+5	+10	0.3
2038	31	MLB MLE	BOS	55%	452	390	80	13	3	7	54	128	5	7	5	205	311	304	615	99	283	28	12	285	79	-11	-1	-3	+5	+10	-0.0
2028	21	MLB CTX	BOS	34%	76	65	14	2	1	1	10	22	1	2	1	204	318	284	602	79	295	29	13	282	74	-2	+0	+0	+1	+2	0.0
2029	22	MLB CTX	BOS	48%	159	136	28	5	1	2	20	45	2	4	2	211	323	306	629	95	296	28	13	292	81	-4	+0	+0	+2	+3	0.1
2030	23	MLB CTX	BOS	54%	219	187	39	7	1	3	27	60	3	6	2	216	326	322	648	106	298	27	12	299	85	-4	+0	+0	+2	+5	0.4
2031	24	MLB CTX	BOS	55%	251	215	48	9	2	4	31	68	3	7	3	220	328	334	662	113	299	27	12	304	88	-3	+0	+0	+3	+5	0.5
2032	25	MLB CTX	BOS	56%	267	228	52	10	2	5	33	72	4	7	3	223	329	341	670	119	299	27	12	307	90	-3	+0	+0	+3	+6	0.6
2033	26	MLB CTX	BOS	56%	276	236	53	10	2	5	34	74	4	7	3	223	329	342	671	120	299	27	12	307	91	-3	+0	+0	+3	+6	0.6
2034	27	MLB CTX	BOS	55%	273	234	53	10	2	5	33	74	4	7	3	222	328	340	668	118	299	27	12	306	90	-3	+0	+0	+3	+6	0.6
2035	28	MLB CTX	BOS	55%	268	229	51	9	2	5	33	73	4	6	3	220	326	335	661	115	298	27	12	303	88	-4	+0	-0	+3	+6	0.5
2036	29	MLB CTX	BOS	53%	256	220	48	9	2	4	31	70	3	5	2	217	324	329	652	111	297	27	12	300	86	-4	+0	-1	+3	+6	0.3
2037	30	MLB CTX	BOS	57%	267	230	49	9	2	4	32	74	3	5	3	214	320	321	641	107	295	28	12	295	83	-5	-0	-1	+3	+6	0.2
2038	31	MLB CTX	BOS	55%	247	212	45	8	1	4	30	70	3	4	3	210	315	311	627	101	292	28	12	290	79	-6	-0	-2	+3	+5	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2559	2192	480	88	18	42	314	702	34	60	28	219	326	333	659	114	300	27	12	300	82	-43	+1	-4	+27	+55	3.8
/ 162G	—	A+C		—	650	557	122	22	5	11	80	178	9	15	7	219	327	336	663	117	299	27	12	300	82	-11	+0	-1	+7	+14	1.0
Career	—	MLE		—	5637	4821	1007	166	38	79	696	1540	78	167	72	209	318	308	627	99	287	27	12	290	82	-88	+2	-7	+53	+107	6.8
/ 162G	—	MLE		—	650	556	115	19	4	9	80	178	9	19	8	207	316	304	620	97	285	27	12	290	82	-12	+0	-1	+7	+14	0.9

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 ASalem RidgeYaks · 276 PAwOBA .336 → .274 (−61)K% 23.9% → 32.5%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	23.91%	÷1.000	×1.360	—	—	32.52%
BB% (unintentional) /PA	17.75%	÷1.000	×0.690	—	×1.030	12.62%
HBP% /PA	1.81%	—	×0.780	—	×1.030	1.46%
Singles /BIP	27.10%	÷1.000	×0.920	×1.008	×1.030	25.88%
Doubles /BIP	5.81%	÷1.000	×0.830	×1.008	×1.030	5.00%
Triples /BIP	1.94%	÷1.000	×0.910	×1.008	×1.030	1.83%
Home runs /BIP	0.65%	÷1.000	×0.800	—	×1.030	0.53%

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 ×1.008.

Result: wOBA .336 → .274; ISO .081 → .068; BABIP .348 → .327. 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 Red Sox · 185 PAwOBA .383 → .277 (−106)K% 18.9% → 28.2%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	18.92%	÷0.965	×1.440	—	—	28.24%
BB% (unintentional) /PA	22.70%	÷0.988	×0.620	—	×1.008	14.36%
HBP% /PA	1.62%	—	×0.720	—	×1.008	1.18%
Singles /BIP	28.16%	÷1.033	×0.820	×1.017	×1.008	22.90%
Doubles /BIP	6.80%	÷1.101	×0.720	×1.017	×1.008	4.56%
Triples /BIP	2.91%	÷0.900	×0.720	×1.017	×1.008	2.39%
Home runs /BIP	0.00%	÷0.815	×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 63, 1B 107, 2B 120, 3B 80, K 93, BB 98 — 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 ×1.017.

Result: wOBA .383 → .277; ISO .094 → .070; BABIP .371 → .293. 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 ASalem Red Sox · 35 PAwOBA .209 → .155 (−55)K% 34.3% → 47.9%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	34.29%	÷0.974	×1.360	—	—	47.86%
BB% (unintentional) /PA	22.86%	÷1.011	×0.690	—	×1.045	16.30%
HBP% /PA	2.86%	—	×0.780	—	×1.045	2.33%
Singles /BIP	7.69%	÷1.030	×0.920	—	×1.045	7.18%
Doubles /BIP	0.00%	÷0.963	×0.830	—	×1.045	0.00%
Triples /BIP	0.00%	÷1.150	×0.910	—	×1.045	0.00%
Home runs /BIP	0.00%	÷0.891	×0.800	—	×1.045	0.00%

Factors used: level-wide A factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 78, 1B 106, 2B 93, 3B 130, K 95, BB 102 — 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).

Result: wOBA .209 → .155; ISO .000 → .000; BABIP .071 → .066. 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 Red Sox Red · 224 PAwOBA .345 → .244 (−101)K% 9.8% → 12.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	9.82%	÷0.965	×1.220	—	—	12.42%
BB% (unintentional) /PA	15.62%	÷1.044	×0.700	—	×1.008	10.55%
HBP% /PA	1.34%	—	×0.700	—	×1.008	0.94%
Singles /BIP	28.93%	÷1.000	×0.680	×1.020	×1.008	20.22%
Doubles /BIP	3.77%	÷1.124	×0.600	×1.020	×1.008	2.07%
Triples /BIP	0.63%	÷0.900	×0.600	×1.020	×1.008	0.43%
Home runs /BIP	0.00%	÷0.953	×0.470	—	×1.008	0.00%

Factors used: level-wide DSL factors (no league-specific row for this league/era). Park (home-season share, regressed): HR 91, 1B 100, 2B 125, 3B 80, K 93, BB 109 — 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 ×1.020.

Result: wOBA .345 → .244; ISO .044 → .028; BABIP .325 → .222. 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
#2Dick Schofield'83-'96 * career totals — 12 seasons, 4,928 PA	7.4	4,928	56	120	227*	307*	330*	+52	+19	9.4	10.0
/162	664	8	16	+7.1	+2.5	1.3	pk7: 11
#3Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#4Jose Uribe'84-'93 * career totals — 9 seasons, 3,369 PA	5.1	3,369	19	74	240*	300*	338*	+36	+27	7.8	7.7
/162	664	4	15	+7.1	+5.3	1.5	pk7: 8
#5Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#6Damian 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.1	2,722	42	63	212	317	318	+29	+21	5.7	5.2
/162	664	10	15	+7.1	+5.1	1.4	pk7: 5

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
Anderson Fermin (OGILVIE)	20	45	20	60	60	189/305/247	58	285	0	5	29%	13%	66	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ricardo Ferreira 2015 · A	20	46	36→30	55→60	54	207/312/275	67	298	3	21	28%	12%	74	-0.6	231/313/303	72	312	3	22	24%	10%	79	-0.2	242/324/311	68	323	3	29	23%	10%	82	+0.0
✕Nasim Nuñez 2021 · A	20	41→51	35→30	57→65	47	191/265/249	58	277	2	20	30%	9%	49	-2.4	215/301/265	50	313	2	38	28%	11%	66	-1.1	214/299/272	58	299	5	52	27%	10%	65	-1.0
✕Jesus Galindo 2010 · A	19	42→50	34→30	55→65	51	192/290/246	54	275	1	19	28%	10%	59	-1.6	200/284/251	51	263	1	32	22%	9%	57	-1.8	233/284/297	64	318	2	38	25%	5%	63	-0.8
✕Jaison Chourio 2024 · A	19	49→55	36→40	55	55	224/319/299	75	316	2	18	27%	12%	80	-0.1	232/327/322	90	320	6	23	26%	12%	88	+0.5	235/331/328	92	319	6	27	25%	12%	90	+0.4
✕Jose Constanza 2007 · A	19	44	34→30	51→60	59	202/309/251	49	278	1	22	25%	13%	67	-1.1	210/314/268	58	275	2	17	21%	13%	72	-0.7	203/332/243	40	254	0	21	17%	16%	73	-0.3
✕Candido Pimentel 2010 · A	20	45	35→30	53→55	54	207/295/272	65	273	2	17	23%	11%	65	-1.2	211/275/265	54	294	2	15	26%	8%	55	-1.9	234/284/275	41	327	1	17	27%	6%	57	-0.7
✕Leo Rivas 2018 · A	20	47→56	37→40	56→65	55	217/314/292	75	284	3	19	23%	11%	78	-0.3	191/275/274	83	293	5	10	33%	10%	59	-1.7	244/357/336	92	322	8	44	24%	14%	103	+1.0
✕Juan Mosquera 2008 · A	20	43	33→30	48→55	58	195/304/239	44	264	1	17	24%	12%	63	-1.3	192/270/239	47	254	2	11	23%	9%	49	-2.4	181/239/208	28	219	0	9	16%	7%	26	-1.0
✕Luis Durango 2023 · A	20	45	35→30	53→70	48	209/290/266	57	271	3	24	22%	8%	63	-1.4	216/288/274	58	294	2	32	25%	6%	63	-1.3	249/303/294	44	325	0	54	21%	4%	68	-0.3
✕Everth Cabrera 2007 · A	20	45→55	34→40	50→65	47	205/280/257	52	296	2	16	29%	9%	56	-1.9	230/296/310	80	318	4	27	26%	8%	74	-0.6	266/331/350	84	338	3	54	21%	8%	94	+0.7
✕Odalys Peguero 2023 · A	20	42	36→30	54→55	50	194/280/259	64	281	3	17	29%	10%	57	-1.8	180/261/247	67	268	2	17	30%	9%	47	-2.5	155/243/214	59	230	2	21	30%	10%	32	-1.7
✕Willmer De La Cruz 2023 · A	20	44	37→30	50→55	51	202/294/273	71	297	4	17	30%	11%	66	-1.1	191/271/251	60	317	2	14	36%	9%	52	-2.2	149/242/181	32	268	0	19	40%	10%	24	-0.8
✕Emmanuel Morel 2016 · A	19	42	34→30	52→55	53	193/282/250	57	259	1	17	24%	10%	56	-1.9	182/254/239	57	293	2	15	35%	8%	42	-2.9	139/207/173	34	251	0	17	41%	7%	8	-1.1
✕Noah Miller 2023 · A	20	40→47	37→40	51→50	48	188/276/257	69	287	4	13	33%	10%	55	-1.9	205/266/280	75	274	6	8	25%	8%	56	-1.9	224/272/309	85	279	7	4	21%	6%	63	-1.2
✕Jorge Minyety 2010 · A	19	44	34→30	50	57	200/297/258	58	260	1	14	21%	12%	63	-1.3	214/284/278	64	299	2	9	27%	9%	62	-1.4	225/293/261	35	317	0	4	26%	9%	58	-0.4
✕Darwin Perez 2009 · A	20	44→53	36→40	54→50	46	203/275/276	73	292	3	10	29%	9%	59	-1.7	231/292/302	71	324	3	12	27%	8%	70	-0.8	238/302/305	67	328	3	14	26%	8%	72	-0.6
✕Juan Matheus 2024 · A	20	42→46	38→45	53→55	59	192/312/281	89	273	4	21	28%	14%	76	-0.4	215/292/311	96	283	7	20	24%	9%	73	-0.6	219/288/322	102	278	9	23	23%	8%	72	-0.5
✕Roberto Caro 2014 · A	20	41→40	35→40	55→60	51	191/273/258	66	249	1	16	22%	9%	54	-2.0	191/269/267	76	262	2	18	25%	8%	54	-2.0	211/282/288	76	323	2	26	32%	8%	62	-0.7
✕Pedro Ruiz 2013 · A	21	47	35→30	51→50	49	214/295/274	61	312	2	14	29%	10%	66	-1.1	196/267/259	63	308	3	7	34%	8%	52	-2.2	164/245/212	48	259	3	2	35%	9%	31	-1.7
✕Yonny Hernández 2018 · A	20	44→54	34→30	53→60	56	199/285/252	53	230	1	20	13%	9%	57	-1.8	236/318/291	55	300	1	25	20%	9%	78	-0.3	266/328/324	58	317	2	17	16%	7%	85	+0.1

Anderson Fermin

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps