Yeiner Fernandez

Yeiner FernandezC Tulsa Drillers

Age 23 R/R 5'9" / 170 lbs AA HR +15%K -3% Svc 0.0 · Ctrl thru 2034 peak 1.6 · 2029

wRC+†59

AVG/OBP/SLG.228 / .292 / .300

PA320

HR3

K%16

BB%6

MLB%2%

Scouting · now → future

HIT

55→55

PWR

25→25

SPD

45→45

EYE

42↘40

trajectory · 10 yrs

1.6peak

2029

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	Arb-1	$0.8M	+1.6	$14M	+$13M
2030	Arb-2	$0.9M	+1.6	$14M	+$14M
2031	Arb-3	$0.9M	+1.5	$14M	+$13M
2032	Ext / FA-deal	$2M	+1.3	$12M	+$10M
2033	Ext / FA-deal	$4M	+1.1	$11M	+$7M
2034	Ext / FA-deal	$3M	+0.8	$4M	+$0.6M
Totals		$12M		$70M	+$57M

Career Projections (MLE)

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.

Year	Age	Lvl	Team	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
2021	18	ROK	2 teams	191	177	50	9	1	2	7	44	6	1	3	.282	.332	.379	.710	.096	.364	23	4	.308	94	-1	-1	+0	+3	+5	0.7
2022	19	A	2 teams	455	408	101	15	1	8	33	86	10	3	2	.248	.319	.348	.667	.100	.292	19	7	.294	83	-9	-0	+0	+8	+13	1.2
2023	20	A+	2 teams	479	429	108	13	3	6	37	78	7	4	2	.252	.321	.338	.659	.086	.291	16	8	.293	82	-10	+0	+0	+9	+14	1.3
2024	21	AA	2 teams	457	410	84	22	0	3	27	83	16	8	3	.205	.280	.280	.561	.076	.247	18	6	.249	49	-26	+0	+0	+8	+13	-0.5
2025	22	AA	Tulsa Drillers	442	405	93	12	0	2	25	65	9	2	2	.230	.289	.274	.563	.044	.267	15	6	.253	52	-24	-0	+0	+8	+13	-0.4
▸ 2026 Season (actual · ROS · total)
2026	23	AA	Tulsa Drillers	23	22	2	1	0	0	1	5	0	0	0	.091	.130	.136	.267	.045	.118	22	4	.122	-48	-4	+0	+0	+0	+1	-0.3
ROS	23	MLB	LAD	297	270	63	11	1	3	19	49	6	3	1	.233	.298	.315	.613	.081	.269	16	6	.273	67	-11	+0	+0	+5	+8	0.3
TOT	23	MLB	LAD	320	292	65	12	1	3	20	54	6	3	1	.223	.286	.301	.588	.079	.263	17	6	.262	59	-15	+0	+0	+6	+9	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	24	MLB 11%	LAD	497	451	105	18	1	6	34	83	9	5	2	.233	.300	.317	.617	.084	.271	17	7	.283	75	-14	+0	+0	+9	+14	0.9
2028	25	MLB 26%	LAD	520	469	111	19	1	8	37	88	9	5	2	.237	.305	.333	.637	.096	.274	17	7	.292	81	-11	+0	+0	+9	+15	1.3
2029	26	MLB 44%	LAD	520	467	111	19	1	9	39	90	9	5	2	.238	.309	.340	.649	.103	.275	17	8	.296	85	-9	+0	+0	+9	+15	1.6
2030	27	MLB 59%	LAD	520	467	111	19	1	9	39	91	9	5	2	.238	.309	.340	.649	.103	.276	18	8	.297	85	-9	+0	+0	+9	+15	1.6
2031	28	MLB 69%	LAD	520	466	110	19	1	9	40	92	9	4	1	.236	.309	.339	.648	.103	.276	18	8	.296	85	-9	+0	-1	+9	+15	1.5
2032	29	MLB 77%	LAD	520	466	110	19	1	9	40	93	9	3	1	.236	.309	.339	.648	.103	.275	18	8	.294	83	-10	+0	-1	+9	+15	1.3
2033	30	MLB 85%	LAD	520	466	110	19	1	9	40	95	9	2	0	.236	.309	.339	.648	.103	.274	18	8	.291	81	-11	+0	-2	+9	+15	1.1
2034	31	MLB 91%	LAD	501	449	104	18	1	8	39	94	8	0	0	.232	.304	.330	.634	.098	.273	19	8	.287	78	-12	+0	-3	+9	+14	0.8
2035	32	MLB	LAD	469	422	96	16	1	7	36	90	8	0	0	.227	.300	.320	.620	.092	.272	19	8	.283	75	-13	+0	-4	+8	+13	0.5
2036	33	MLB	LAD	428	385	86	14	1	6	33	85	7	0	0	.223	.296	.312	.608	.088	.271	20	8	.278	71	-14	+0	-4	+8	+12	0.2
2037	34	MLB	LAD	372	335	74	12	1	5	28	77	6	0	0	.221	.293	.307	.600	.087	.269	21	8	.272	66	-14	+0	-5	+7	+11	-0.2
2038	35	MLB	LAD	314	283	61	10	1	3	23	68	5	0	0	.216	.286	.290	.576	.074	.268	22	7	.265	61	-14	+0	-6	+6	+9	-0.5
▸ Career Totals (MLE all levels + projections)
Career	—			8022	7225	1688	284	18	112	576	1451	151	50	23	.234	.304	.324	.628	.091	.276	18	7	.284	76	-221	+1	-25	+143	+227	12.7
/ 162G	—			650	585	136	23	1	9	47	118	12	4	2	.232	.303	.321	.624	.089	.275	18	7	.284	76	-18	+0	-2	+12	+18	1.0

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
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	267	+6	+0	—	—	+1	0.8
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	144	+8	-1	—	—	+4	1.1
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	138	+18	-0	—	—	+12	3.0
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	147	+2	+0	—	—	+1	0.3
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	114	+7	+0	—	—	+12	1.9
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	173	+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	.091	.279	13	9	.310	95	-2	+1	—	—	+12	1.1
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	190	+4	-0	—	—	+1	0.5
2025	22	AA	Tulsa Drillers	442	390	98	14	0	2	39	49	9	2	2	.251	.333	.303	.635	.051	.281	11	9	.295	84	-8	-0	—	—	+13	0.4

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	.228/.292/.300	.072	.269	3	3	16%	6%	67	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Roy Morales 2018 · A	23	49	36→30	49→45	49	.231/.294/.298	.066	.270	4	8	16%	6%	66	-0.6	.229/.291/.300	.071	.281	4	10	19%	7%	66	-0.6	.267/.331/.325	.058	.319	4	8	16%	7%	86	+0.3
✕Isiah Kiner-Falefa 2018 · AA	23	52→57	35→40	46→55	45	.243/.293/.304	.061	.290	3	11	17%	5%	67	-0.5	.243/.300/.327	.084	.291	5	12	18%	6%	76	+0.1	.268/.316/.348	.080	.304	6	21	14%	5%	85	+0.5
✕Ramon Soto 2011 · AAA	23	51	36→30	41→45	43	.242/.284/.304	.063	.291	4	8	18%	5%	63	-0.8	.240/.286/.306	.066	.289	4	8	18%	5%	65	-0.7	.288/.333/.350	.062	.354	1	8	18%	5%	91	+0.4
✕Brallan Perez 2019 · A	23	52	36→30	42→50	46	.244/.297/.305	.061	.298	4	7	19%	6%	69	-0.4	.219/.277/.276	.057	.283	3	8	22%	6%	53	-1.5	.199/.260/.234	.035	.260	2	8	22%	6%	32	-1.7
✕Angelo Amendolare 2016 · AAA	23	47	37→30	45→50	51	.221/.294/.298	.076	.266	4	7	18%	8%	67	-0.5	.230/.303/.298	.068	.302	3	9	23%	8%	71	-0.3	.244/.324/.286	.042	.329	0	10	23%	9%	72	-0.1
✕Jorge Flores 2015 · AA	23	51→55	36→30	43→50	46	.239/.292/.311	.072	.283	2	11	16%	5%	69	-0.4	.229/.281/.297	.068	.281	4	10	19%	6%	60	-1.0	.218/.286/.287	.069	.265	6	10	19%	6%	58	-0.7
✕Rossmel Perez 2013 · AA	23	53→56	36→30	45	53	.246/.304/.306	.060	.274	4	6	12%	8%	72	-0.2	.250/.300/.316	.066	.273	4	6	10%	6%	72	-0.2	.259/.302/.321	.062	.279	4	3	9%	5%	73	-0.1
✕Mike Dowd 2013 · A	23	52	38→40	46→40	45	.246/.289/.329	.083	.285	5	6	16%	5%	72	-0.2	.213/.256/.290	.077	.261	6	4	20%	4%	48	-1.9	.188/.227/.251	.063	.234	5	1	21%	3%	22	-1.4
✕Richard Rodriguez 2016 · A	23	53	33→30	43→50	48	.244/.295/.288	.044	.296	1	9	17%	7%	63	-0.8	.212/.252/.268	.056	.280	3	8	24%	5%	40	-2.4	.149/.175/.156	.007	.198	0	7	24%	3%	-25	-1.4
✕Jimmy Rohan 2007 · AAA	23	50	37→40	40→45	47	.238/.284/.312	.074	.275	4	6	15%	6%	65	-0.7	.225/.275/.299	.074	.278	4	6	19%	6%	59	-1.1	.218/.268/.267	.049	.276	0	0	20%	6%	44	-0.7
✕Yonathan Mendoza 2017 · AA	23	51	36→30	47→45	48	.240/.293/.304	.063	.287	4	6	17%	6%	67	-0.5	.239/.288/.294	.055	.291	4	6	18%	6%	63	-0.9	.232/.283/.274	.042	.284	3	5	19%	7%	52	-1.0
✕Carlos Garay 2018 · A	23	57→63	36→30	45→30	42	.271/.301/.335	.064	.314	4	5	15%	3%	78	+0.2	.259/.290/.335	.076	.306	5	5	16%	4%	73	-0.1	.278/.299/.348	.070	.323	4	0	15%	2%	75	-0.0
✕Sherman Lacrus 2016 · A	22	47	40→30	45→50	49	.225/.297/.314	.089	.263	7	7	17%	7%	73	-0.1	.204/.258/.288	.084	.268	6	8	25%	6%	49	-1.8	.183/.231/.254	.071	.236	5	9	24%	4%	26	-1.1
✕Jasson Atondo 2019 · AAA	23	45→55	40→30	45→50	45	.217/.260/.308	.091	.255	7	11	18%	5%	54	-1.4	.276/.309/.352	.076	.309	6	12	12%	5%	85	+0.7	.310/.339/.367	.057	.342	3	11	10%	4%	96	+1.2
✕Josh Kasevich 2023 · A	22	49→57	39→40	43→50	49	.231/.293/.322	.091	.268	5	6	15%	6%	72	-0.2	.241/.292/.312	.071	.282	5	9	15%	6%	69	-0.4	.246/.296/.303	.058	.288	4	9	15%	6%	65	-0.4
✕Miguel Torrero 2007 · AAA	23	46→50	39→30	46→40	45	.221/.265/.306	.085	.255	7	10	17%	5%	56	-1.3	.268/.316/.328	.060	.299	3	6	11%	6%	82	+0.5	.288/.340/.336	.048	.318	0	2	9%	6%	92	+0.5
✕Nate Samson 2011 · AA	23	51→57	35→40	40→45	47	.239/.286/.292	.053	.271	3	6	13%	5%	61	-1.0	.219/.262/.303	.084	.261	6	7	18%	5%	54	-1.4	.217/.263/.320	.103	.258	9	9	19%	5%	56	-0.5
✕Ramón Cabrera 2013 · AA	23	54→59	38→40	43→40	49	.254/.299/.337	.083	.289	4	4	14%	6%	78	+0.2	.262/.309/.345	.083	.300	4	3	13%	6%	84	+0.6	.271/.315/.347	.076	.308	4	2	13%	6%	83	+0.4
✕Manny Mayorson 2006 · A	23	51→61	38→40	48→55	46	.236/.272/.323	.087	.261	4	7	12%	4%	63	-0.9	.258/.292/.328	.070	.286	3	10	10%	4%	72	-0.2	.274/.309/.342	.068	.299	2	12	9%	4%	81	+0.3
✕Gilberto Galaviz 2016 · AAA	24	52	40	44→30	42	.251/.285/.341	.091	.290	7	5	16%	4%	73	-0.1	.244/.284/.325	.081	.276	6	7	14%	4%	69	-0.4	.243/.284/.280	.037	.267	3	1	10%	3%	54	-0.5

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)