Derniche Valdez — OGILVIE

Derniche ValdezSS Myrtle Beach Pelicans

Age 20 R/R 5'10" / 150 lbs A BB +5%HR -4% Svc 0.0 · Ctrl thru 2036 peak 2.0 · 2033

wRC+†8

AVG/OBP/SLG.200 / .265 / .301

PA64

HR1

K%32

BB%7

MLB%0%

trajectory · 10 yrs

2.0peak

2033

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	+1.8	$17M	+$16M
2032	Ext / FA-deal	$0.9M	+1.9	$18M	+$17M
2033	Ext / FA-deal	$1.0M	+2.0	$20M	+$19M
2034	Ext / FA-deal	$4M	+1.8	$18M	+$14M
2035	Ext / FA-deal	$6M	+1.7	$18M	+$12M
2036	Ext / FA-deal	$7M	+1.4	$15M	+$8M
Totals		$19M		$106M	+$86M

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
2023	17	ROK	DSL Cubs Blue	125	114	16	2	1	4	8	72	1	4	4	.140	.203	.281	.484	.140	.300	58	6	.210	19	-11	-1	+0	+1	+4	-0.8
2024	18	ROK	ACL Cubs	64	60	10	3	1	1	3	28	0	2	1	.167	.206	.300	.506	.133	.281	44	5	.225	30	-5	+0	+0	+1	+2	-0.3
2025	19	ROK	ACL Cubs	40	38	3	1	0	0	2	23	0	2	5	.079	.125	.105	.230	.026	.200	57	5	.103	-63	-7	-2	+0	+0	+1	-0.8
▸ 2026 Season (actual · ROS · total)
2026	20	A	Myrtle Beach Pelicans	39	38	4	0	1	1	1	24	0	1	0	.105	.128	.237	.365	.132	.231	62	3	.161	-19	-5	+0	+0	+0	+1	-0.4
ROS	20	MLB	CHC	25	23	4	1	0	0	2	9	0	0	0	.174	.240	.217	.457	.043	.287	36	8	.250	49	-1	+0	+0	+0	+1	-0.0
TOT	20	MLB	CHC	64	61	8	1	1	1	3	33	0	1	0	.131	.172	.230	.401	.098	.259	52	5	.196	8	-7	+0	+0	+1	+2	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	21	MLB 11%	CHC	175	158	34	6	2	4	13	49	2	3	1	.215	.283	.354	.638	.139	.273	28	7	.280	73	-5	+0	+0	+2	+5	0.2
2028	22	MLB 28%	CHC	306	275	60	10	3	8	25	82	3	7	1	.218	.290	.364	.654	.145	.276	27	8	.294	83	-6	+1	+0	+3	+9	0.7
2029	23	MLB 48%	CHC	396	355	79	14	3	12	34	104	4	9	2	.223	.298	.380	.678	.158	.277	26	9	.301	89	-5	+1	+0	+4	+11	1.2
2030	24	MLB 62%	CHC	456	408	92	16	4	14	40	118	5	10	2	.225	.302	.387	.690	.162	.278	26	9	.306	92	-4	+1	+0	+5	+13	1.5
2031	25	MLB 80%	CHC	491	439	99	17	4	15	44	126	5	11	2	.226	.303	.385	.688	.159	.279	26	9	.309	95	-3	+1	+0	+5	+14	1.8
2032	26	MLB 94%	CHC	510	453	103	18	4	16	47	131	5	11	2	.227	.307	.391	.698	.163	.279	26	9	.311	96	-2	+1	+0	+5	+14	1.9
2033	27	MLB	CHC	518	460	104	18	4	16	48	133	5	11	2	.226	.306	.387	.693	.161	.279	26	9	.311	96	-2	+1	+0	+6	+15	2.0
2034	28	MLB	CHC	519	460	104	18	4	16	49	135	5	10	2	.226	.307	.387	.694	.161	.278	26	9	.310	95	-3	+1	-1	+6	+15	1.8
2035	29	MLB	CHC	512	454	101	17	4	16	48	134	5	9	1	.222	.304	.383	.687	.161	.278	26	9	.308	94	-4	+1	-1	+5	+15	1.7
2036	30	MLB	CHC	504	446	99	17	4	15	48	134	5	8	1	.222	.305	.379	.684	.157	.276	27	10	.305	91	-5	+1	-2	+5	+14	1.4
2037	31	MLB	CHC	491	437	96	16	4	15	46	132	5	6	0	.220	.301	.378	.679	.158	.275	27	9	.301	88	-6	+1	-3	+5	+14	1.1
2038	32	MLB	CHC	474	422	91	15	4	14	45	130	4	3	0	.216	.297	.370	.667	.154	.273	27	9	.296	85	-8	+1	-4	+5	+13	0.8
2039	33	MLB	CHC	445	396	83	14	3	12	42	125	4	2	0	.210	.292	.351	.643	.141	.271	28	9	.291	81	-10	+0	-4	+5	+13	0.4
2040	34	MLB	CHC	399	356	73	12	3	10	37	116	3	0	0	.205	.285	.340	.625	.135	.269	29	9	.284	76	-11	+0	-5	+4	+11	-0.0
2041	35	MLB	CHC	346	308	62	10	3	8	32	104	3	0	0	.201	.283	.331	.614	.130	.267	30	9	.276	70	-12	+0	-6	+4	+10	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			6796	6062	1313	225	55	196	613	1885	64	108	26	.217	.295	.369	.664	.152	.278	28	9	.297	86	-111	+11	-25	+73	+193	14.3
/ 162G	—			650	580	126	22	5	19	59	180	6	10	2	.217	.297	.371	.667	.153	.278	28	9	.297	86	-11	+1	-2	+7	+18	1.4

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
2023	17	ROK	DSL Cubs Blue	125	107	25	4	2	6	15	51	1	4	4	.234	.333	.477	.810	.243	.365	41	12	.351	126	+4	-1	—	—	+4	0.7
2024	18	ROK	ACL Cubs	64	59	16	4	2	2	4	19	0	2	1	.271	.317	.508	.826	.237	.359	30	6	.352	128	+2	+0	—	—	+2	0.4
2025	19	ROK	ACL Cubs	40	37	5	2	0	0	3	15	0	2	5	.135	.200	.189	.389	.054	.227	38	8	.184	-1	-5	-2	—	—	+1	-0.5

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
Derniche Valdez (OGILVIE)	20	—	—	—	—	.200/.265/.301	.102	.290	1	1	32%	7%	56	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
●Alex Liddi 2009 · A	20	42→52	40→60	49→50	38	.202/.249/.300	.098	.290	7	9	32%	5%	48	-1.9	.240/.291/.399	.159	.335	16	7	32%	6%	92	+1.2	.241/.296/.424	.182	.336	20	5	33%	6%	99	+1.7
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
●Dilson Herrera 2014 · A	20	43→53	45→50	49→50	40	.213/.264/.339	.126	.281	12	11	28%	6%	65	-0.7	.248/.297/.383	.135	.313	14	13	24%	6%	90	+1.0	.257/.307/.397	.140	.313	15	13	22%	6%	94	+1.2
●Derek Norris 2009 · A	20	40→50	42→55	49→50	43	.194/.269/.300	.106	.295	9	6	35%	9%	58	-1.2	.209/.301/.372	.163	.281	20	6	31%	11%	91	+1.1	.254/.332/.403	.149	.311	15	5	22%	10%	106	+1.6
✕David Bote 2013 · A	20	43→48	38→55	50→45	43	.200/.271/.286	.086	.293	4	8	31%	8%	54	-1.4	.190/.266/.272	.082	.263	5	6	28%	8%	50	-1.8	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Michael Chavis 2016 · A	20	35→45	46→60	45	33	.185/.226/.311	.126	.279	13	7	38%	4%	42	-2.3	.206/.253/.358	.152	.281	18	5	33%	5%	66	-0.6	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
✕Yunior Garcia 2021 · A	20	38→48	43→50	49→30	35	.190/.240/.297	.107	.288	10	8	36%	5%	44	-2.1	.222/.272/.336	.114	.325	11	4	33%	5%	68	-0.5	.227/.278/.348	.120	.320	13	2	32%	5%	69	-0.2
✕Brendan Rodgers 2017 · A	20	41→51	45→50	44→45	39	.211/.256/.331	.120	.275	14	6	28%	5%	59	-1.1	.235/.277/.371	.136	.297	15	6	26%	4%	79	+0.3	.253/.308/.383	.131	.298	13	0	19%	6%	93	+0.8
●Rainel Rosario 2009 · A	20	36→46	40→50	45→50	39	.176/.248/.268	.092	.289	7	9	39%	7%	40	-2.4	.205/.272/.319	.114	.308	9	9	34%	7%	64	-0.8	.253/.308/.402	.150	.285	19	6	18%	7%	96	+1.1
✕Samad Taylor 2018 · A	20	45→53	37→50	51→65	41	.213/.268/.288	.076	.300	4	10	29%	6%	53	-1.5	.183/.255/.284	.101	.259	7	22	30%	8%	47	-1.9	.236/.312/.377	.141	.324	16	46	30%	9%	94	+0.8
●Austin Dean 2014 · A	20	41→51	40→55	45	45	.197/.269/.289	.093	.270	7	6	28%	8%	55	-1.4	.229/.274/.325	.096	.288	7	6	22%	5%	65	-0.7	.257/.302/.413	.156	.304	17	4	21%	5%	96	+1.1
●Peter Bourjos 2007 · A	20	45→55	41→55	52→60	36	.213/.257/.319	.106	.318	7	11	34%	5%	56	-1.3	.233/.274/.346	.113	.308	8	22	26%	5%	70	-0.3	.250/.299/.403	.153	.305	12	28	22%	5%	94	+1.2
✕Ceddanne Rafaela 2021 · A	20	41→50	42→55	52→55	41	.202/.253/.302	.099	.256	10	14	25%	5%	50	-1.7	.228/.267/.382	.154	.289	16	19	26%	4%	77	+0.1	.244/.283/.399	.155	.300	17	24	24%	4%	86	+0.7
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
●Alonzo Harris 2009 · A	20	44→50	45→55	50→60	40	.221/.276/.342	.121	.296	13	11	29%	6%	71	-0.3	.205/.243/.307	.102	.275	11	12	29%	4%	46	-2.0	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Jhostynxon Garcia 2023 · A	20	37→42	41→50	46→50	45	.182/.264/.278	.096	.277	8	8	35%	9%	50	-1.7	.199/.261/.332	.133	.287	14	10	34%	6%	63	-0.9	.207/.263/.362	.155	.281	19	10	33%	6%	68	-0.4
●Moisés Sierra 2009 · A	20	41→51	41→50	46→50	36	.202/.247/.296	.095	.277	9	9	30%	4%	46	-2.0	.235/.283/.338	.103	.304	9	9	25%	5%	72	-0.2	.250/.316/.378	.129	.306	14	15	22%	7%	94	+1.0
✕Keon Broxton 2011 · A	21	38→48	41→55	53→60	36	.184/.238/.293	.109	.299	7	10	39%	6%	41	-2.3	.196/.253/.296	.100	.314	9	15	38%	7%	49	-1.8	.225/.301/.390	.165	.341	17	38	36%	9%	92	+1.0
✕Jose Siri 2015 · A	20	43→52	40→60	54→55	37	.207/.252/.306	.099	.291	7	15	30%	5%	50	-1.7	.193/.224/.305	.112	.303	9	16	38%	3%	38	-2.6	.227/.276/.431	.204	.317	27	25	36%	5%	92	+0.8

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)