Ronny Hernandez — OGILVIE

Ronny HernandezC Kannapolis Cannon Ballers

Age 21 L/R 6'1" / 200 lbs A BB +6%HR -6% Svc 0.0 · Ctrl thru 2036 peak 1.9 · 2031

wRC+†60

AVG/OBP/SLG.212 / .283 / .287

PA320

HR3

K%26

BB%9

MLB%0%

Scouting · now → future

HIT

40→40

PWR

25→25

SPD

40→40

EYE

52↘50

trajectory · 10 yrs

1.9peak

2031

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+1.9	$18M	+$17M
2032	Ext / FA-deal	$0.9M	+1.9	$18M	+$17M
2033	Ext / FA-deal	$1.0M	+1.8	$18M	+$17M
2034	Ext / FA-deal	$3M	+1.6	$16M	+$13M
2035	Ext / FA-deal	$4M	+1.4	$15M	+$10M
2036	Ext / FA-deal	$5M	+1.1	$12M	+$7M
Totals		$15M		$96M	+$81M

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
2022	17	ROK	DSL White Sox	120	105	18	5	0	3	10	31	2	0	0	.171	.256	.305	.561	.133	.203	26	8	.258	56	-6	+0	+0	+2	+3	-0.0
2023	18	ROK	ACL White Sox	172	156	35	8	1	1	14	51	2	1	0	.224	.297	.308	.604	.083	.327	30	8	.269	64	-7	+0	+0	+3	+5	0.1
2024	19	A	Kannapolis Cannon Ballers	413	368	87	12	0	1	41	85	3	0	0	.236	.318	.277	.595	.041	.304	21	10	.275	69	-15	+0	+0	+7	+12	0.5
2025	20	A	Kannapolis Cannon Ballers	355	325	65	9	1	4	27	106	0	4	0	.200	.261	.271	.532	.071	.280	30	8	.240	42	-23	+1	+0	+6	+10	-0.6
▸ 2026 Season
2026	21	MLB	CWS	320	288	62	10	1	3	28	82	1	3	0	.215	.287	.288	.575	.073	.284	26	9	.264	60	-14	+1	+0	+6	+9	0.1
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	CWS	404	362	80	13	1	6	37	100	2	4	1	.221	.297	.312	.609	.091	.286	25	9	.280	73	-12	+0	+0	+7	+11	0.7
2028	23	MLB 28%	CWS	469	419	95	16	1	9	44	113	3	5	1	.227	.305	.334	.639	.107	.287	24	9	.291	81	-10	+1	+0	+8	+13	1.2
2029	24	MLB 45%	CWS	512	455	105	18	1	11	49	121	3	6	1	.231	.310	.347	.657	.116	.288	24	10	.297	85	-9	+1	+0	+9	+15	1.6
2030	25	MLB 60%	CWS	520	461	106	18	1	11	51	122	3	7	1	.230	.311	.345	.656	.115	.289	23	10	.300	88	-7	+1	+0	+9	+15	1.8
2031	26	MLB 77%	CWS	520	460	107	18	1	12	52	122	3	7	1	.233	.315	.354	.669	.122	.289	23	10	.302	89	-6	+1	+0	+9	+15	1.9
2032	27	MLB 92%	CWS	520	460	106	18	1	11	52	123	3	6	0	.230	.313	.346	.658	.115	.289	24	10	.302	89	-6	+1	+0	+9	+15	1.9
2033	28	MLB	CWS	520	459	106	18	1	11	53	124	3	6	0	.231	.315	.346	.661	.115	.289	24	10	.301	89	-7	+1	-1	+9	+15	1.8
2034	29	MLB	CWS	520	459	105	18	1	11	53	125	3	5	0	.229	.313	.344	.657	.115	.288	24	10	.299	87	-8	+1	-1	+9	+15	1.6
2035	30	MLB	CWS	520	459	104	17	1	11	53	127	3	5	0	.227	.311	.340	.651	.113	.287	24	10	.296	85	-9	+1	-2	+9	+15	1.4
2036	31	MLB	CWS	501	442	100	17	1	10	51	124	3	3	0	.226	.310	.337	.648	.111	.285	25	10	.292	82	-10	+1	-3	+9	+14	1.1
2037	32	MLB	CWS	468	415	91	15	1	9	47	119	3	2	0	.219	.303	.325	.629	.106	.284	25	10	.287	78	-12	+0	-4	+8	+13	0.7
2038	33	MLB	CWS	427	379	82	13	1	8	43	111	2	2	0	.216	.300	.319	.619	.103	.282	26	10	.282	74	-13	+0	-4	+8	+12	0.3
2039	34	MLB	CWS	371	329	70	11	1	6	37	100	2	2	0	.213	.296	.307	.603	.094	.281	27	10	.276	69	-13	+0	-5	+7	+11	-0.0
2040	35	MLB	CWS	314	279	58	9	1	5	31	88	1	2	0	.208	.289	.301	.590	.093	.279	28	10	.269	64	-13	+0	-6	+6	+9	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			7966	7080	1582	263	17	143	773	1974	45	70	5	.223	.304	.326	.630	.103	.287	25	10	.287	78	-200	+12	-25	+142	+226	15.8
/ 162G	—			650	578	129	21	1	12	63	161	4	6	0	.223	.304	.325	.630	.102	.286	25	10	.287	78	-16	+1	-2	+12	+18	1.3

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	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	17	ROK	DSL White Sox	120	97	26	7	0	6	18	21	2	0	.268	.393	.526	.919	.258	.274	18	15	.394	160	+8	+0	—	—	+3	1.2
2023	18	ROK	ACL White Sox	172	148	50	12	1	3	22	35	2	1	.338	.430	.493	.923	.155	.427	20	13	.412	173	+14	+0	—	—	+5	2.0
2024	19	A	Kannapolis Cannon Ballers	413	345	94	16	0	1	62	59	3	0	.272	.386	.328	.713	.055	.325	14	15	.334	113	+6	+0	—	—	+12	1.8
2025	20	A	Kannapolis Cannon Ballers	355	307	77	12	1	4	45	75	0	4	.251	.347	.336	.682	.085	.316	21	13	.313	98	-1	+1	—	—	+10	1.0

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
Ronny Hernandez (OGILVIE)	21	40	25	40	50	.212/.283/.287	.074	.284	3	3	26%	9%	60	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sergio Burruel 2012 · A	21	43	36→30	42→30	47	.202/.277/.264	.062	.278	3	4	27%	8%	51	-1.7	.215/.270/.276	.061	.296	3	5	26%	6%	50	-1.7	.244/.307/.320	.075	.298	8	1	19%	7%	75	+0.0
✕Andy Paz 2014 · A	21	46	37→40	42→45	48	.215/.279/.290	.075	.276	4	5	23%	8%	58	-1.2	.200/.260/.272	.072	.277	5	5	27%	7%	45	-2.1	.210/.261/.258	.048	.277	3	6	24%	6%	38	-0.7
✕Jeffer Patino 2010 · A	21	45	38→45	40→45	48	.212/.274/.291	.080	.256	5	5	19%	7%	56	-1.3	.207/.251/.282	.075	.267	6	4	24%	5%	43	-2.2	.201/.233/.264	.063	.262	6	2	25%	3%	28	-0.7
✕Leopoldo Correa 2013 · A	21	45	39→45	41→30	46	.215/.274/.301	.086	.268	6	3	22%	7%	59	-1.1	.207/.260/.286	.079	.273	5	4	25%	6%	49	-1.8	.178/.223/.244	.066	.223	3	0	21%	4%	17	-0.9
✕David Martin 2023 · A	22	45	39→30	49→30	42	.213/.285/.304	.091	.300	6	7	29%	6%	66	-0.6	.223/.305/.293	.070	.278	5	4	20%	9%	71	-0.3	.243/.334/.302	.059	.291	5	1	16%	10%	83	+0.3
✕Luis Sierra 2007 · A	20	45	36→40	39→45	50	.208/.291/.281	.073	.272	3	5	23%	9%	63	-0.9	.221/.284/.315	.094	.263	8	8	18%	6%	67	-0.5	.221/.274/.321	.100	.253	10	8	17%	5%	63	-0.3
✕Simon Vasquez 2009 · A	21	45	35→40	40→50	48	.211/.283/.271	.060	.271	2	4	22%	7%	56	-1.3	.226/.286/.306	.080	.281	3	7	19%	7%	65	-0.7	.253/.299/.341	.088	.301	2	9	16%	5%	79	+0.1
✕Greg Cullen 2019 · A	22	47→42	38→40	46→40	49	.221/.285/.307	.086	.270	5	4	19%	8%	65	-0.7	.214/.296/.313	.099	.273	8	3	23%	8%	72	-0.2	.232/.336/.332	.100	.317	11	4	27%	12%	91	+0.4
✕Shawn Zarraga 2010 · A	21	45	36→40	48→45	47	.210/.288/.277	.068	.290	4	5	27%	8%	59	-1.1	.233/.300/.320	.087	.305	6	8	24%	7%	76	+0.0	.272/.340/.355	.083	.316	4	2	14%	7%	101	+0.6
✕Anthony Dimino 2016 · A	22	47	36→40	47→50	47	.222/.280/.287	.065	.285	3	7	22%	7%	57	-1.2	.244/.308/.310	.066	.312	3	11	21%	8%	76	+0.0	.256/.319/.320	.063	.322	3	16	20%	8%	78	+0.1
✕Nelson Quiroz 2022 · A	20	45	37→40	47→40	49	.211/.278/.287	.076	.265	3	4	21%	8%	57	-1.2	.229/.290/.332	.103	.270	9	4	18%	7%	74	-0.1	.264/.310/.326	.062	.295	2	0	11%	6%	75	+0.0
✕Cesar Berbesi 2021 · A	21	45	36→30	44→55	47	.210/.277/.279	.069	.275	2	7	23%	7%	55	-1.4	.198/.292/.285	.087	.330	5	13	37%	11%	64	-0.8	.157/.265/.219	.063	.312	3	21	44%	12%	35	-0.8
✕Randy Florentino 2021 · A	21	43	41→50	42→45	48	.206/.286/.310	.104	.297	8	6	31%	10%	67	-0.5	.180/.241/.263	.083	.269	8	5	34%	7%	36	-2.7	.183/.230/.260	.077	.238	8	4	26%	5%	28	-1.0
✕Yohander Martinez 2023 · A	21	46	36→30	43→50	52	.214/.307/.273	.060	.278	5	8	23%	10%	68	-0.5	.200/.307/.267	.067	.284	5	7	28%	10%	67	-0.5	.167/.290/.223	.056	.250	4	5	30%	11%	49	-0.6
✕Geraldi Diaz 2021 · A	21	44	38→40	45→40	49	.207/.296/.291	.084	.265	4	6	22%	8%	67	-0.5	.199/.280/.290	.091	.284	6	6	30%	8%	60	-1.0	.170/.257/.261	.092	.252	8	4	33%	8%	42	-0.7
✕Noe Becerra 2009 · AAA	22	43	37→30	44→40	47	.204/.265/.277	.073	.261	5	8	23%	7%	49	-1.8	.224/.280/.308	.084	.274	7	7	20%	7%	63	-0.8	.278/.325/.338	.060	.315	3	0	12%	6%	89	+0.3
✕Daniel Vellojin 2021 · A	21	44	39→45	47→45	51	.211/.294/.300	.090	.264	6	8	22%	9%	69	-0.4	.202/.296/.318	.116	.280	11	6	29%	11%	74	-0.1	.178/.276/.292	.113	.249	12	4	31%	11%	56	-0.7
✕Joel Naughton 2008 · A	21	45	39→40	43→30	44	.218/.261/.300	.083	.266	6	6	21%	5%	53	-1.5	.224/.265/.311	.087	.277	7	3	21%	5%	57	-1.2	.229/.268/.314	.086	.281	8	1	21%	5%	58	-0.5
✕Aaron Shipman 2013 · A	21	41→39	35→30	45→50	49	.191/.270/.252	.060	.271	2	10	28%	9%	45	-2.1	.224/.307/.289	.065	.304	2	15	24%	10%	70	-0.3	.245/.335/.305	.060	.327	1	21	22%	11%	81	+0.2
✕Felipe Burin 2012 · A	20	52	36→40	41→45	49	.242/.303/.317	.075	.299	3	4	19%	7%	75	-0.0	.217/.280/.284	.067	.289	2	5	24%	8%	57	-1.2	.161/.236/.190	.028	.218	0	3	24%	8%	14	-1.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)