Yeiner Fernandez

Yeiner FernandezC Tulsa Drillers

Age 23 R/R 5'9" / 170 lbs AA HR +8%BB -8% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION23 act + 11 ros · stats below = ROS only

showingROS

wRC+†69

AVG/OBP/SLG.200 / .273 / .200

PA11

HR0

K%18

BB%9

BABIP267

ISO64

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$24M ctrl surplus

Tools · ContractCON 55 / POW 25

Toolsscout grade

CONTACT55

scouting grade only

POWER25

scouting grade only

EYE40

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	+0.8	$3M	+$2M
2030	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2031	Pre-Arb	$0.9M	+0.8	$2M	+$2M
2032	Arb-1	$2M	+0.6	$2M	+$0.2M
2033	Arb-2	$3M	+0.5	$1M	+$0.0M (cut)
2034	Arb-3	$4M	+0.3	$0.7M	+$0.0M (cut)
Totals		$5M		$10M	+$6M

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. 2026 = actual YTD + projected ROS + total. 2027+ via Advanced Marcel + aging curve. Catcher framing: only 2026 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 below FG-DC by 1-3 WAR.

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)
2021	18	A	Rancho Cucamonga Quakes	—	34	31	16	1	0	1	2	3	1	0	0	516	559	645	1.204	129	556	9	6	534	248	+6	+0	—	—	+1	0.7
2021	18	ROK	ACL Dodgers	—	157	141	45	11	1	2	10	27	5	1	3	319	385	454	839	135	381	17	6	373	139	+7	-1	—	—	+3	1.0
2022	19	A	Rancho Cucamonga Quakes	—	423	363	106	16	2	10	46	55	10	3	2	292	387	430	816	138	318	13	11	366	134	+17	-0	—	—	+9	2.6
2022	19	INTL	Cardenales de Lara	—	32	31	10	3	0	1	1	3	0	0	0	323	344	516	860	194	333	9	3	377	141	+2	+0	—	—	+1	0.2
2023	20	A+	Great Lakes Loons	—	433	373	102	14	3	6	47	56	7	4	2	273	365	375	741	102	303	13	11	334	112	+6	+0	—	—	+9	1.6
2023	20	INTL	Glendale Desert Dogs	—	46	38	11	4	1	1	8	5	0	0	0	289	413	526	939	237	312	11	17	412	165	+4	+0	—	—	+1	0.5
2024	21	AA	Tulsa Drillers	—	419	364	89	24	0	3	39	56	13	8	2	245	339	335	674	91	279	13	9	310	96	-2	+1	—	—	+9	0.8
2024	21	INTL	Cardenales de Lara	—	38	34	12	4	1	1	0	3	3	0	1	353	405	618	1.023	265	355	8	0	433	179	+4	-0	—	—	+1	0.4
2025	22	AA	Tulsa Drillers	—	442	390	98	14	0	2	39	49	9	2	2	251	333	303	635	51	281	11	9	295	85	-8	-0	—	—	+10	0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	A MLE	Rancho Cucamonga Quakes	—	34	32	15	1	0	1	1	4	1	0	0	469	500	594	1.094	125	517	12	3	462	199	+4	+0	—	—	+1	0.5
2021	18	ROK MLE	ACL Dodgers	—	157	145	35	8	1	1	6	40	5	1	3	241	295	331	626	90	315	25	4	273	71	-5	-1	—	—	+3	-0.3
2022	19	A MLE	Rancho Cucamonga Quakes	—	423	379	93	14	1	7	30	79	10	3	2	245	317	343	660	98	286	19	7	295	86	-7	-0	—	—	+9	0.2
2023	20	A+ MLE	Great Lakes Loons	—	433	386	95	12	3	5	34	75	7	4	2	246	319	332	650	85	280	17	8	287	80	-10	+0	—	—	+9	-0.1
2024	21	AA MLE	Tulsa Drillers	—	419	378	80	21	0	2	25	71	13	8	2	212	284	283	567	71	249	17	6	255	59	-21	+1	—	—	+9	-1.1
2025	22	AA MLE	Tulsa Drillers	—	442	405	95	12	0	2	25	61	9	2	2	235	294	279	573	44	267	14	6	258	61	-21	-0	—	—	+10	-1.2
2021	18	ROK MLE	2 teams	—	191	176	50	9	1	2	8	44	6	1	3	284	337	381	718	97	366	23	4	307	94	—	—	—	—	—	—
2021	18	ROK RAW	2 teams	—	191	172	61	12	1	3	12	30	6	1	3	355	416	488	904	134	414	16	6	402	94	—	—	—	—	—	—
2022	19	A MLE	2 teams	—	455	408	101	15	1	8	33	85	10	3	2	248	319	348	667	100	292	19	7	295	86	—	—	—	—	—	—
2022	19	A RAW	2 teams	—	455	394	116	19	2	11	47	58	10	3	2	294	384	437	820	142	319	13	10	366	86	—	—	—	—	—	—
2023	20	A+ MLE	2 teams	—	479	429	105	13	3	6	37	83	7	4	2	245	315	331	646	86	286	17	8	287	80	—	—	—	—	—	—
2023	20	A+ RAW	2 teams	—	479	411	113	18	4	7	55	61	7	4	2	275	370	389	759	114	304	13	11	342	80	—	—	—	—	—	—
2024	21	AA MLE	2 teams	—	457	410	87	23	0	2	27	78	16	8	3	212	287	283	570	71	254	17	6	255	59	—	—	—	—	—	—
2024	21	AA RAW	2 teams	—	457	398	101	28	1	4	39	59	16	8	3	254	344	359	704	106	286	13	9	320	59	—	—	—	—	—	—
2025	22	AA MLE	Tulsa Drillers	—	442	405	95	12	0	2	25	61	9	2	2	235	294	279	573	44	270	14	6	258	61	—	—	—	—	—	—
2025	22	AA RAW	Tulsa Drillers	—	442	390	98	14	0	2	39	49	9	2	2	251	333	303	635	51	281	11	9	295	61	—	—	—	—	—	—
2021	18	ROK MLE	2 teams	—	191	175	50	9	1	2	8	44	6	1	3	286	337	383	720	97	351	23	4	307	94	—	—	—	—	—	—
2022	19	A MLE	2 teams	—	455	409	101	15	1	8	33	85	10	3	2	247	319	347	666	100	286	19	7	295	86	—	—	—	—	—	—
2023	20	A+ MLE	2 teams	—	479	432	105	13	3	6	37	83	7	4	2	243	315	329	644	86	280	17	8	287	80	—	—	—	—	—	—
2024	21	AA MLE	2 teams	—	457	411	87	23	0	2	27	78	16	8	3	212	287	282	569	71	249	17	6	255	59	—	—	—	—	—	—
2025	22	AA MLE	Tulsa Drillers	—	442	405	95	12	0	2	25	61	9	2	2	235	294	279	573	44	267	14	6	258	61	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	2 teams	—	479	432	105	13	3	6	37	83	7	4	2	243	315	329	644	86	280	17	8	287	80	—	—	—	—	—	—
2024	21	AA MLE	2 teams	—	457	411	87	23	0	2	27	78	16	8	3	212	287	282	569	71	249	17	6	255	59	—	—	—	—	—	—
2025	22	AA MLE	Tulsa Drillers	—	442	405	95	12	0	2	25	61	9	2	2	235	294	279	573	44	267	14	6	258	61	—	—	—	—	—	—
YTD	23	AA MLE	LAD	—	23	22	2	1	0	0	1	5	0	0	0	91	130	136	267	45	118	22	4	123	-31	-4	+0	+0	+0	+0	-0.3
▸ 2026 season
YTD	23	AA RAW	LAD	—	23	21	2	1	0	0	2	4	0	0	0	95	174	143	317	48	118	17	9	156	-31	—	—	—	—	—	—
ROS	23	AA MLE	LAD	2%	11	10	2	0	0	0	1	2	0	0	0	200	273	200	473		270	18	9	271	69	-0	+0	+0	+0	+0	0.0
TOT	23	AA MLE	LAD	—	34	32	4	1	0	0	2	7	0	0	0	125	176	156	333	31	160	21	6	171	2	-4	+0	+0	+1	+1	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	39%	477	434	102	18	1	5	31	74	9	5	2	235	300	316	615	81	273	16	6	282	77	-13	+0	+0	+9	+10	0.6
2028	25	MLB MLE	LAD	56%	516	467	112	20	1	7	35	82	9	5	2	240	305	332	637	92	274	16	7	290	82	-11	+0	+0	+9	+11	1.0
2029	26	MLB MLE	LAD	64%	520	470	114	20	1	9	36	84	9	5	2	243	309	347	656	104	275	16	7	294	85	-9	+0	+0	+9	+11	1.2
2030	27	MLB MLE	LAD	66%	520	469	113	20	1	9	37	85	9	5	2	241	309	345	654	104	275	16	7	295	86	-9	+0	+0	+9	+11	1.2
2031	28	MLB MLE	LAD	67%	520	469	113	20	1	9	37	86	9	5	2	241	309	345	654	104	275	17	7	294	85	-9	+0	-1	+9	+11	1.1
2032	29	MLB MLE	LAD	66%	520	469	112	20	1	8	37	87	9	5	2	239	307	337	644	98	274	17	7	292	84	-10	+0	-1	+9	+11	1.0
2033	30	MLB MLE	LAD	65%	520	469	111	19	1	8	37	88	9	4	2	237	305	333	637	96	273	17	7	290	82	-11	+0	-2	+9	+11	0.8
2034	31	MLB MLE	LAD	65%	501	452	105	18	1	7	36	87	8	4	1	232	300	323	623	91	271	17	7	285	79	-12	+0	-3	+9	+11	0.5
2035	32	MLB MLE	LAD	65%	469	425	96	16	1	6	33	83	8	3	1	226	294	311	605	85	268	18	7	280	76	-14	+0	-4	+8	+10	0.2
2036	33	MLB MLE	LAD	70%	428	388	86	14	1	5	30	78	7	2	1	222	289	302	591	80	264	18	7	273	71	-15	+0	-4	+8	+9	-0.2
2027	24	MLB CTX	LAD	39%	184	167	39	7	0	2	12	29	3	2	1	234	297	311	608	78	269	16	7	266	77	-5	+0	+0	+3	+4	0.2
2028	25	MLB CTX	LAD	56%	288	262	62	11	1	4	19	46	5	3	1	237	301	332	633	95	270	16	7	275	82	-6	+0	+0	+5	+6	0.6
2029	26	MLB CTX	LAD	64%	332	300	73	13	1	6	23	54	6	3	1	243	310	353	663	110	271	16	7	280	85	-6	+0	+0	+6	+7	0.8
2030	27	MLB CTX	LAD	66%	342	309	74	13	1	6	24	56	6	3	1	239	307	346	653	107	272	16	7	281	86	-6	+0	+0	+6	+7	0.8
2031	28	MLB CTX	LAD	67%	347	313	75	13	1	6	25	57	6	3	1	240	308	345	653	105	271	16	7	280	85	-6	+0	-0	+6	+8	0.8
2032	29	MLB CTX	LAD	66%	342	308	74	13	1	6	25	57	6	3	1	240	310	347	657	107	271	17	7	278	84	-6	+0	-1	+6	+7	0.6
2033	30	MLB CTX	LAD	65%	339	306	72	12	1	6	24	58	6	3	1	235	304	340	643	105	270	17	7	276	82	-7	+0	-1	+6	+7	0.5
2034	31	MLB CTX	LAD	65%	325	294	68	12	0	5	23	56	5	2	1	231	298	323	621	92	267	17	7	272	79	-8	+0	-2	+6	+7	0.3
2035	32	MLB CTX	LAD	65%	303	273	61	10	0	4	22	54	5	2	1	223	293	304	597	81	265	18	7	266	76	-9	+0	-2	+5	+7	0.1
2036	33	MLB CTX	LAD	70%	300	271	60	10	0	4	21	55	5	2	1	221	290	303	592	81	261	18	7	260	71	-10	+0	-3	+5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3102	2803	658	114	6	49	218	522	53	26	10	235	302	332	634	97	271	17	7	274	79	-70	+1	-10	+55	+67	4.5
/ 162G	—	A+C		—	650	587	137	24	1	10	46	109	11	5	2	233	301	329	630	95	269	17	7	274	79	-15	+0	-2	+12	+14	1.0
Career	—	MLE		—	7026	6350	1504	257	15	93	480	1187	134	61	29	237	304	326	630	89	276	17	7	285	79	-113	+2	-15	+89	+108	7.3
/ 162G	—	MLE		—	650	587	139	24	1	9	44	110	12	6	3	237	303	327	630	90	275	17	7	285	79	-15	+0	-2	+12	+14	1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Tucker Barnhartlast yr '24 career totals — 11 seasons, 3,088 PA	4.7	3,088	53	8	241	318	351	+55	+57	16.5	16.1
/162	664	11	2	+11.9	+12.3	3.6	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
#3Zack Cozartlast yr '19 career totals — 8 seasons, 3,350 PA	5.0	3,350	85	21	246	300	398	+33	+38	14.2	14.8
/162	664	17	4	+6.6	+7.6	2.8	pk7: 15
#4Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#5Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#6Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	4.7	3,108	47	26	237	301	333	+56	+24	7.0	6.6
/162	664	10	6	+11.9	+5.1	1.5	pk7: 6

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
Yeiner Fernandez (OGILVIE)	23	55	25	45	40	230/292/294	64	270	2	3	15%	6%	69	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roy Morales 2018 · A	23	51	37→30	49→45	50	237/302/304	67	277	4	8	16%	7%	75	-0.5	229/291/303	74	284	4	10	20%	7%	70	-0.8	271/334/327	56	322	3	8	16%	7%	89	+0.2
✕Isiah Kiner-Falefa 2018 · AA	23	54→56	36→40	47→55	46	251/300/316	65	295	3	11	16%	5%	76	-0.4	245/303/332	87	293	5	12	17%	6%	81	-0.1	262/305/349	88	305	7	19	16%	5%	84	+0.1
✕Rossmel Perez 2013 · AA	23	53→56	35→30	46→45	54	248/308/305	57	274	4	6	11%	8%	77	-0.3	252/301/317	65	274	4	6	9%	6%	76	-0.4	260/303/319	58	280	4	3	8%	5%	76	-0.2
✕Jorge Flores 2015 · AA	23	51→54	36→30	43→50	46	240/291/310	71	284	2	11	16%	5%	72	-0.7	226/277/294	68	276	4	9	18%	6%	63	-1.4	216/284/282	66	263	6	10	19%	6%	61	-0.9
✕Brallan Perez 2019 · A	23	52	35→30	42→50	46	244/299/302	58	300	3	7	19%	6%	73	-0.6	220/278/279	59	284	3	8	22%	6%	60	-1.6	205/265/240	34	265	2	8	21%	6%	43	-1.6
✕Ramon Soto 2011 · AAA	23	51	36→30	40→45	44	243/287/302	59	291	4	8	18%	5%	68	-1.0	241/289/307	66	290	4	8	17%	5%	70	-0.8	287/333/348	61	355	1	8	18%	5%	92	+0.3
✕Richard Rodriguez 2016 · A	23	54	34→30	43→50	48	251/299/297	46	305	1	9	18%	6%	71	-0.8	211/252/271	60	281	3	8	25%	5%	48	-2.5	149/175/156	8	198	0	7	24%	3%	-11	-1.3
✕Mike Dowd 2013 · A	23	52	38→40	46→40	44	247/289/328	82	288	5	6	16%	4%	75	-0.5	210/254/285	75	259	5	4	20%	4%	52	-2.2	190/228/250	60	234	5	1	21%	3%	32	-1.4
✕Angelo Amendolare 2016 · AAA	23	47	37→30	44→50	51	222/296/295	74	266	4	7	18%	8%	71	-0.8	229/301/299	70	308	3	9	25%	8%	74	-0.6	241/319/285	44	333	0	10	25%	8%	73	-0.2
✕Carlos Garay 2018 · A	23	59→65	36→30	45→30	41	278/308/341	63	322	3	4	15%	3%	84	+0.2	260/292/338	78	307	5	5	16%	4%	78	-0.3	287/308/357	70	330	4	0	14%	2%	82	+0.0
✕Jimmy Rohan 2007 · AAA	23	51	37→40	39→45	48	239/285/312	72	275	4	6	15%	6%	70	-0.9	227/278/303	76	279	4	6	19%	6%	65	-1.2	224/274/273	49	279	0	0	19%	6%	54	-0.6
✕Humberto Castro 2014 · AAA	23	47	38→30	50→45	43	225/272/299	74	264	6	8	17%	4%	62	-1.4	235/288/313	78	290	5	8	20%	5%	72	-0.7	263/320/320	57	310	3	5	15%	5%	81	-0.0
✕Yonathan Mendoza 2017 · AA	23	51	36→30	46→45	47	238/289/299	61	288	3	5	18%	6%	68	-1.0	238/287/293	55	290	4	6	18%	6%	66	-1.1	234/285/276	42	286	3	5	18%	7%	58	-1.0
✕Nate Samson 2011 · AA	23	51→57	35→40	40→45	47	237/282/289	52	270	3	6	14%	5%	63	-1.3	221/264/301	80	263	6	8	17%	5%	59	-1.6	223/268/296	73	262	5	10	17%	5%	57	-0.6
✕Jasson Atondo 2019 · AAA	23	46→56	40→30	45→50	46	220/270/315	95	264	7	11	20%	6%	65	-1.2	271/306/347	76	305	6	12	13%	5%	85	+0.2	302/331/357	55	335	3	11	10%	4%	92	+0.6
✕Gilberto Galaviz 2016 · AAA	24	53	39→40	44→30	43	251/287/334	83	291	6	4	16%	4%	75	-0.5	245/289/325	80	277	6	7	13%	5%	74	-0.5	242/282/277	35	267	2	1	10%	3%	58	-0.6
✕Chad Zurcher 2013 · A	24	48	36→30	47→45	50	222/288/291	69	266	3	9	17%	7%	66	-1.1	228/309/290	62	295	2	7	21%	10%	75	-0.5	238/336/271	32	303	0	6	19%	12%	78	-0.1
✕Jose Bernardo Lopez 2013 · AAA	23	52	35→30	42→50	42	244/274/298	54	291	2	8	17%	4%	61	-1.5	254/291/316	62	307	3	11	17%	5%	72	-0.7	271/308/322	52	326	1	12	17%	4%	76	-0.1
✕Marcus Lemon 2011 · AA	23	51→53	37→40	44→45	45	243/285/320	77	294	3	7	18%	5%	71	-0.8	241/283/323	82	299	4	9	20%	5%	71	-0.8	235/284/324	88	297	4	6	21%	6%	68	-0.5
✕Ramón Cabrera 2013 · AA	23	54→59	38→40	42→40	49	256/303/340	84	290	4	4	13%	6%	82	+0.0	258/305/339	81	295	4	3	13%	6%	83	+0.1	267/311/340	74	303	4	2	13%	6%	82	+0.0

Career Stats + Projections

Career Comps

Career Path Comps