Diego Fernandez

2B DSL CLE Goryl

Age 18 L/R ROK Svc 0.0 · Ctrl thru 2038

Overview

ROKPROSPECTMiLBFA 2039

OGV OFP35OGV rank#583ETA2029MLB%0%

Year	Age	Lvl / Team	PA	AVG/OBP/SLG	HR	SB	wRC+	WAR	MLE AVG/OBP/SLG
2026	17	ROKDSL CLE Goryl	204	.331/.527/.444	1	19	93	—	.214/.378/.283
2027PROJMLE	18	MLB—	314	.234/.332/.319	2	8	89	0.2
2028PROJ34% MLB	19	MLB—	55	.238/.335/.331	1	1	93	0.1
2029PROJ48% MLB	20	MLB—	132	.241/.338/.341	2	4	96	0.3

Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2038Service0.0First FA2039

2027MiLB2028MiLB2029MiLB2030MiLB2031MiLB2032MiLB2033Pre-Arb$0.9M2034Pre-Arb$1.0M+4

Skills · percentileMiLB Statcast 2026 Rk

BB%98

Chase%98

wOBA95

wRC+94

K%91

Whiff%89

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 1% · didn't stick 98%

CompsNelson Rada (age 18) · Carlos Sanchez (age 18) · Angel Genao (age 18)

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 107 proj PA

wRC+89

AVG/OBP/SLG.232 / .329 / .316

PA107

HR1

K%22

BB%12

ISO85

MLB%0%

Value2027 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$46M ctrl surplus

Tools · ContractCON 71 / POW 35

Toolsscout grade

CONTACT71

scouting grade only

POWER35

scouting grade only

EYE80

scouting grade only

SPEED64

scouting grade only

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	+1.0	$5M	+$5M
2034	Pre-Arb	$1.0M	+1.1	$5M	+$5M
2035	Pre-Arb	$1.0M	+1.1	$5M	+$4M
2036	Arb-1	$5M	+1.0	$4M	+$2M
2037	Arb-2	$7M	+0.9	$2M	+$0.0M (cut)
2038	Arb-3	$8M	+0.8	$1M	+$0.0M (cut)
Totals		$7M		$22M	+$16M

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)
2026	17	ROK	DSL CLE Goryl	—	204	142	47	9	2	1	58	24	1	19	4	331	527	444	971	113	383	12	28	440	93	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	17	ROK MLE	DSL CLE Goryl	—	204	159	34	6	1	1	41	29	1	19	4	214	378	283	661	69	240	14	20	305	93	—	—	—	—	—	—
2026	17	ROK MLE	DSL CLE Goryl	—	204	159	34	6	1	1	41	29	1	19	4	214	378	283	661	69	250	14	20	305	93	—	—	—	—	—	—
2026	17	ROK RAW	DSL CLE Goryl	—	204	142	47	9	2	1	58	24	1	19	4	331	527	444	971	113	383	12	28	440	93	—	—	—	—	—	—
2026	17	ROK MLE	DSL CLE Goryl	—	204	160	34	6	1	1	41	29	1	19	4	212	378	281	659	69	240	14	20	305	93	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	17	ROK MLE	DSL CLE Goryl	—	204	160	34	6	1	1	41	29	1	19	4	212	378	281	659	69	240	14	20	305	93	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	18	MLB MLE	—	0%	314	271	64	11	3	2	38	69	2	8	1	234	332	319	651	85	302	22	12	300	89	-4	+1	+0	+1	+7	0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	19	MLB MLE	—	34%	159	138	32	5	1	2	19	35	1	4	1	238	335	331	667	93	304	22	12	306	93	-1	+0	+0	+1	+3	0.3
2029	20	MLB MLE	—	48%	273	236	57	10	2	3	32	59	3	7	2	241	338	341	679	101	305	22	12	311	96	-1	+1	+0	+1	+6	0.6
2030	21	MLB MLE	—	54%	390	338	82	14	3	5	45	84	4	11	3	243	339	350	690	107	305	22	12	314	99	-1	+1	+0	+1	+8	1.0
2031	22	MLB MLE	—	57%	469	407	100	17	4	7	54	101	5	13	3	244	340	357	697	113	305	22	12	317	101	+0	+1	+0	+2	+10	1.4
2032	23	MLB MLE	—	58%	523	453	112	19	4	9	59	112	6	14	4	246	340	363	703	117	305	21	11	319	102	+1	+1	+0	+2	+11	1.6
2033	24	MLB MLE	—	57%	558	483	118	20	4	9	64	120	6	15	4	247	341	366	707	119	306	22	11	320	103	+2	+1	+0	+2	+12	1.8
2034	25	MLB MLE	—	57%	576	499	124	21	5	10	66	123	6	15	4	247	342	367	708	120	306	21	11	321	103	+2	+1	+0	+2	+12	1.9
2035	26	MLB MLE	—	57%	590	512	127	22	5	10	67	126	6	16	4	247	342	367	709	120	306	21	11	321	103	+2	+2	+0	+2	+13	1.9
2036	27	MLB MLE	—	55%	590	512	126	21	5	10	67	127	6	15	4	246	341	364	705	118	305	22	11	320	102	+2	+1	+0	+2	+13	1.8
2037	28	MLB MLE	—	59%	582	505	124	21	4	10	66	127	6	14	4	244	339	359	698	115	305	22	11	317	101	+0	+1	-1	+2	+13	1.6
2038	29	MLB MLE	—	61%	565	491	119	20	4	9	64	125	5	13	4	242	336	353	689	111	303	22	11	313	98	-1	+1	-1	+2	+12	1.3
2039	30	MLB MLE	—	62%	552	480	115	19	4	8	62	124	5	12	4	239	332	345	677	106	302	22	11	309	95	-3	+1	-2	+2	+12	1.0
2040	31	MLB MLE	—	63%	533	463	109	18	4	7	60	121	5	11	4	235	328	335	662	100	299	23	11	303	91	-6	+1	-3	+2	+12	0.6
2041	32	MLB MLE	—	64%	511	445	101	16	3	6	57	119	4	9	6	229	322	322	644	93	296	23	11	295	86	-8	-1	-4	+2	+11	0.0
2042	33	MLB MLE	—	65%	475	416	93	14	3	5	52	113	4	8	7	223	315	308	622	84	291	24	11	287	80	-11	-1	-4	+2	+10	-0.5
2028	19	MLB CTX	—	34%	55	48	11	2	0	1	7	12	0	1	0	238	335	331	667	93	304	22	13	306	93	-0	+0	+0	+0	+1	0.1
2029	20	MLB CTX	—	48%	132	115	28	5	1	2	15	29	1	4	1	241	338	341	679	101	305	22	11	311	96	-1	+0	+0	+0	+3	0.3
2030	21	MLB CTX	—	54%	212	183	45	8	2	3	25	46	2	6	1	243	339	350	690	107	305	22	12	314	99	-0	+1	+0	+1	+5	0.6
2031	22	MLB CTX	—	57%	265	230	56	10	2	4	30	57	3	7	2	244	340	357	697	113	305	22	11	317	101	+0	+1	+0	+1	+6	0.8
2032	23	MLB CTX	—	58%	301	261	64	11	2	5	34	65	3	8	2	246	340	363	703	117	305	22	11	319	102	+1	+1	+0	+1	+7	0.9
2033	24	MLB CTX	—	57%	318	276	68	12	2	5	36	68	3	9	2	247	341	366	707	119	306	21	11	320	103	+1	+1	+0	+1	+7	1.0
2034	25	MLB CTX	—	57%	327	284	71	12	3	6	37	70	3	9	2	247	342	367	708	120	306	21	11	321	103	+1	+1	+0	+1	+7	1.1
2035	26	MLB CTX	—	57%	334	289	72	12	3	6	38	72	4	9	2	247	342	367	709	120	306	22	11	321	103	+1	+1	+0	+1	+7	1.1
2036	27	MLB CTX	—	55%	327	284	71	12	3	6	37	70	3	9	2	246	341	364	705	118	305	21	11	320	102	+1	+1	+0	+1	+7	1.0
2037	28	MLB CTX	—	59%	344	299	73	12	3	6	39	75	3	8	2	244	339	359	698	115	305	22	11	317	101	+0	+1	-0	+1	+7	0.9
2038	29	MLB CTX	—	61%	345	300	71	12	2	5	39	76	3	8	2	242	336	353	689	111	303	22	11	313	98	-1	+1	-1	+1	+7	0.8
2039	30	MLB CTX	—	62%	344	299	71	12	2	5	39	77	3	8	2	239	332	345	677	106	302	22	11	309	95	-2	+1	-1	+1	+7	0.6
2040	31	MLB CTX	—	63%	336	292	69	11	2	5	38	76	3	7	3	235	328	335	662	100	299	23	11	303	91	-4	+0	-2	+1	+7	0.3
2041	32	MLB CTX	—	64%	326	284	65	10	2	4	36	76	3	6	4	229	322	322	644	93	296	23	11	295	86	-5	-0	-2	+1	+7	0.0
2042	33	MLB CTX	—	65%	309	270	60	9	2	3	34	74	2	5	5	223	315	308	622	84	291	24	11	287	80	-7	-1	-3	+1	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4275	3714	895	150	31	66	484	943	39	104	32	241	335	351	686	110	304	22	11	312	97	-15	+8	-9	+15	+93	9.4
/ 162G	—	A+C		—	650	565	137	23	5	10	74	143	6	16	5	242	337	354	691	112	305	22	11	312	97	-2	+1	-1	+2	+14	1.4
Career	—	MLE		—	7657	6629	1595	267	57	112	888	1669	74	199	62	241	337	349	686	108	303	22	12	312	97	-24	+13	-15	+27	+161	16.5
/ 162G	—	MLE		—	650	563	136	23	5	10	75	142	6	17	5	242	337	353	690	112	304	22	12	312	97	-2	+1	-1	+2	+14	1.4

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 DSLDSL CLE Goryl · 204 PAwOBA .437 → .305 (−132)K% 11.8% → 14.4%

Component	Raw	Park ÷	Level factor ×	GB/FB ×	Age ×	= MLE
K% /PA	11.76%	÷1.000	×1.220	—	—	14.35%
BB% (unintentional) /PA	28.43%	÷1.000	×0.700	—	—	19.90%
HBP% /PA	0.49%	—	×0.700	—	—	0.34%
Singles /BIP	29.66%	÷1.000	×0.680	×0.950	—	19.16%
Doubles /BIP	7.63%	÷1.000	×0.600	×0.950	—	4.35%
Triples /BIP	1.69%	÷1.000	×0.600	×0.950	—	0.97%
Home runs /BIP	0.85%	÷1.000	×0.470	—	—	0.40%

Factors used: level-wide DSL 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 unknown — no age adjustment. Ground-ball/fly-ball mix moves 1B/2B/3B by ×0.950.

Result: wOBA .437 → .305; ISO .113 → .070; BABIP .383 → .240. 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
#1Kolten Wonglast yr '23 career totals — 11 seasons, 4,283 PA	6.5	4,283	86	120	256	330	390	+15	+21	18.4	17.8
/162	664	13	19	+2.4	+3.2	2.8	pk7: 17
#2Wayne Garrett'69-'78 * career totals — 10 seasons, 3,913 PA	5.9	3,913	61	38	236*	346*	370*	+15	+13	15.2	16.0
/162	664	10	6	+2.5	+2.2	2.6	pk7: 17
#3Bill Spiers'89-'01 * career totals — 11 seasons, 3,845 PA	5.8	3,845	37	97	262*	330*	373*	+19	+4	10.9	12.2
/162	664	6	17	+3.3	+0.7	1.9	pk7: 13
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 10 projected seasons	6.6	4,381	65	106	242	332	351	+16	+10	12.7	10.6
/162	664	10	16	+2.4	+1.5	1.9	pk7: 8
#4Lenny Randle'71-'82 * career totals — 10 seasons, 4,427 PA	6.7	4,427	27	156	256*	323*	370*	+10	+7	8.7	9.8
/162	664	4	23	+1.5	+1.0	1.3	pk7: 11
#5Cliff 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
#6Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10

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
Diego Fernandez (OGILVIE)	18	66→71	30→35	59→64	80	232/329/316	84	302	1	3	22%	12%	89	+0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nelson Rada 2024 · A	18	52→61	36→30	60	51	240/329/312	72	318	3	29	23%	9%	87	+0.4	246/323/306	60	340	2	33	26%	9%	83	+0.1	255/332/312	57	351	2	38	25%	9%	85	+0.2
✕Carlos Sanchez 2023 · A	18	50→54	37→40	51→50	59	233/335/302	69	298	4	15	21%	12%	88	+0.4	212/309/287	75	349	4	12	35%	12%	75	-0.5	225/310/326	101	351	8	14	35%	11%	79	-0.1
●Angel Genao 2022 · A	18	43→53	36→45	58→50	59	198/299/266	68	249	3	16	20%	12%	67	-1.1	232/295/324	92	306	6	11	24%	8%	77	-0.3	271/329/396	125	328	10	12	19%	8%	104	+1.3
●Jackson Holliday 2023 · A	19	51→61	41→50	49→50	60	240/338/346	106	301	8	10	21%	13%	98	+1.2	254/339/391	137	339	12	14	26%	11%	109	+2.0	249/334/388	139	323	13	15	25%	11%	105	+1.7
●Xavier Edwards 2019 · A	19	53→63	37→40	56→60	50	245/308/320	75	309	3	18	21%	8%	80	-0.2	257/303/319	62	306	1	19	15%	6%	77	-0.3	308/366/390	82	353	4	36	13%	8%	116	+2.2
●Eduardo Quintero 2024 · A	18	46→54	40→45	58→60	53	216/306/324	108	273	5	19	21%	10%	82	-0.0	225/320/342	117	312	9	25	28%	11%	91	+0.7	231/334/361	130	321	12	30	28%	12%	99	+1.0
●Josue De Paula 2024 · A	19	52→54	38→50	51→55	52	242/326/327	85	316	5	14	23%	10%	89	+0.5	236/331/360	124	307	12	20	25%	12%	99	+1.3	241/338/391	150	298	16	24	23%	12%	106	+1.5
✕Hendry Mendez 2022 · A	18	50→57	39→45	51→45	51	234/299/332	97	275	5	7	16%	8%	80	-0.2	227/296/304	77	285	5	5	20%	9%	73	-0.6	262/336/372	110	313	10	6	18%	9%	101	+1.0
●Evan Carter 2022 · A	19	47→55	43→50	52→55	56	220/331/337	117	299	9	18	27%	12%	95	+0.9	240/325/389	149	310	14	20	25%	10%	103	+1.6	241/329/398	157	310	15	21	25%	10%	104	+1.1
✕Cristofer Torin 2023 · A	18	47→55	35→40	53→50	61	215/316/281	66	255	2	19	15%	12%	76	-0.4	225/306/299	74	281	5	14	20%	10%	76	-0.4	243/315/341	98	290	8	10	18%	9%	86	+0.3
✕Jaison Chourio 2023 · A	18	45→55	37→40	53→55	62	208/315/286	78	255	3	15	18%	13%	77	-0.3	227/325/310	83	318	4	21	26%	12%	85	+0.2	235/331/328	92	319	6	27	25%	12%	90	+0.4
●L.J. Hoes 2009 · A	19	50→60	37→40	56→50	53	235/305/308	72	289	4	11	19%	9%	76	-0.4	247/295/316	69	318	4	12	22%	6%	74	-0.6	288/348/379	91	345	5	15	17%	8%	105	+1.7
✕Kendall George 2024 · A	19	55→60	36→30	52→65	48	253/320/322	69	342	3	22	25%	8%	85	+0.2	249/328/307	58	343	2	42	25%	10%	85	+0.2	262/344/315	53	355	2	56	24%	11%	90	+0.4
✕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
✕Kevyn Castillo 2024 · A	19	49→46	38→50	54→55	53	227/310/317	91	295	4	19	23%	10%	81	-0.1	232/306/336	104	327	8	14	29%	9%	84	+0.1	232/311/351	119	315	11	14	28%	9%	86	+0.2
✕Marcus Lemon 2007 · A	19	49→55	37→40	55→45	52	229/297/306	77	281	3	16	19%	9%	73	-0.6	243/304/333	90	311	4	9	22%	7%	82	-0.0	249/308/338	89	311	4	8	20%	7%	81	-0.0
✕Cedric Hunter 2007 · A	19	55→59	37→55	53→50	55	258/327/338	80	300	3	14	14%	9%	92	+0.7	256/298/341	85	294	6	8	14%	5%	81	-0.1	246/303/399	153	268	15	9	14%	6%	96	+0.7
●Moisés Ballesteros 2022 · A	18	43→53	38→50	50→40	55	201/288/280	79	244	5	8	19%	10%	65	-1.2	227/293/354	127	281	14	4	23%	8%	84	+0.1	266/327/397	130	316	14	3	20%	8%	104	+1.4
●Andrés Giménez 2017 · A	18	48→58	38→50	47→55	59	223/318/314	92	250	4	11	12%	11%	84	+0.1	240/302/336	96	303	6	18	21%	6%	82	+0.0	260/322/413	154	311	16	25	21%	5%	109	+1.8
✕Carlos Jorge 2022 · A	18	46→56	39→45	62→60	49	216/288/319	103	277	5	24	23%	8%	73	-0.6	208/282/338	130	299	12	26	32%	8%	76	-0.4	193/266/325	132	285	13	29	35%	8%	65	-0.7

Diego Fernandez

Career Stats + Projections

How the minor-league lines were translated

Career Comps

Career Path Comps