Daniel Meza — OGILVIE

Daniel MezaSS DSL Rockies

Age 18 L/R 5'11" / 163 lbs ROK HR +30%H +12% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION121 act + 13 ros · stats below = ROS only

showingROS

wRC+†50

AVG/OBP/SLG.167 / .231 / .167

PA13

HR0

K%31

BB%8

BABIP281

ISO58

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · ContractCON 30 / POW 20

Toolsscout grade

CONTACT30

scouting grade only

POWER20

scouting grade only

EYE60

scouting grade only

SPEED50

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.4	$0.9M	+$0.4M
2035	Arb-1	$2M	+0.4	$0.8M	+$0.0M (cut)
2036	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2037	Arb-3	$3M	+0.2	$0.3M	+$0.0M (cut)
Totals		$3M		$4M	+$1.0M

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.

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)
2025	17	ROK	DSL Rockies	—	170	131	30	2	0	0	35	44	3	7	2	229	402	244	647	15	341	26	21	321	103	+1	+1	—	—	+4	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Rockies	—	170	144	24	1	0	0	22	62	3	7	2	167	290	174	464	7	282	36	13	226	39	-12	+1	—	—	+4	-0.8
2025	17	ROK MLE	DSL Rockies	—	170	144	24	1	0	0	22	62	3	7	2	167	290	174	464	7	289	36	13	226	39	—	—	—	—	—	—
2025	17	ROK RAW	DSL Rockies	—	170	131	30	2	0	0	35	44	3	7	2	229	402	244	647	15	341	26	21	321	39	—	—	—	—	—	—
2025	17	ROK MLE	DSL Rockies	—	170	143	24	1	0	0	22	62	3	7	2	168	290	175	465	7	282	36	13	226	39	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Rockies	—	170	143	24	1	0	0	22	62	3	7	2	168	290	175	465	7	282	36	13	226	39	—	—	—	—	—	—
YTD	18	ROK MLE	COL	—	121	96	15	1	0	0	19	45	0	6	4	156	296	167	462	10	288	37	16	220	35	-9	-0	+0	+1	+3	-0.6
▸ 2026 season
YTD	18	ROK RAW	COL	—	121	84	17	1	0	0	31	31	0	6	4	202	417	214	632	12	315	26	26	309	35	—	—	—	—	—	—
ROS	18	ROK MLE	COL	0%	13	12	2	0	0	0	1	4	0	0	0	167	231	167	397		268	31	8	242	50	-1	+0	+0	+0	+0	-0.0
TOT	18	ROK MLE	COL	—	134	108	17	1	0	0	20	49	0	6	4	157	289	167	456	9	283	37	15	222	36	-10	-0	+0	+1	+3	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	COL	34%	229	199	38	5	1	2	26	67	2	4	2	191	291	256	547	65	274	29	11	258	60	-11	+0	+0	+2	+5	-0.3
2028	20	MLB MLE	COL	48%	360	313	62	9	2	4	40	103	4	7	2	198	297	278	575	80	277	29	11	268	67	-14	+1	+0	+4	+8	-0.2
2029	21	MLB MLE	COL	54%	458	400	82	12	2	7	50	129	5	9	3	205	301	297	599	92	279	28	11	275	72	-15	+1	+0	+5	+10	0.0
2030	22	MLB MLE	COL	57%	527	458	94	14	2	8	58	147	6	10	4	205	303	297	600	92	280	28	11	279	75	-16	+0	+0	+6	+11	0.2
2031	23	MLB MLE	COL	58%	575	501	104	15	2	10	63	159	6	11	4	208	304	305	609	98	281	28	11	282	77	-16	+1	+0	+6	+12	0.3
2032	24	MLB MLE	COL	57%	605	526	110	16	3	10	67	167	7	11	4	209	307	308	615	99	282	28	11	284	78	-16	+1	+0	+6	+13	0.5
2033	25	MLB MLE	COL	61%	623	542	114	17	3	11	69	172	7	12	4	210	307	314	621	103	282	28	11	285	79	-16	+1	+0	+7	+13	0.5
2034	26	MLB MLE	COL	63%	631	549	115	17	3	11	70	174	7	12	4	209	307	311	618	102	282	28	11	285	79	-16	+1	+0	+7	+14	0.6
2035	27	MLB MLE	COL	64%	632	549	115	17	3	11	71	175	7	12	4	209	308	311	619	102	281	28	11	286	79	-15	+1	+0	+7	+14	0.6
2036	28	MLB MLE	COL	65%	628	545	114	17	3	11	71	174	7	12	4	209	308	312	620	103	281	28	11	285	79	-16	+1	-1	+7	+14	0.5
2037	29	MLB MLE	COL	65%	618	536	111	16	2	11	70	173	7	11	4	207	307	306	613	99	280	28	11	283	78	-16	+1	-1	+7	+13	0.3
2038	30	MLB MLE	COL	65%	607	526	108	16	2	10	69	171	7	11	4	205	306	300	606	95	279	28	11	280	76	-17	+1	-2	+7	+13	0.1
2027	19	MLB CTX	COL	34%	79	69	14	2	0	1	9	23	1	1	1	203	304	275	579	72	287	29	11	262	60	-4	-0	+0	+1	+2	-0.1
2028	20	MLB CTX	COL	48%	174	151	32	5	1	2	19	50	2	3	1	212	308	298	606	86	291	29	11	272	67	-7	+0	+0	+2	+4	-0.1
2029	21	MLB CTX	COL	54%	248	216	46	7	1	4	27	70	3	5	2	213	309	310	619	97	293	28	11	279	72	-8	+0	+0	+3	+5	0.0
2030	22	MLB CTX	COL	57%	298	260	57	9	2	5	33	83	3	6	2	219	314	327	641	108	294	28	11	284	75	-9	+0	+0	+3	+6	0.1
2031	23	MLB CTX	COL	58%	331	288	64	10	2	6	36	92	4	6	2	222	317	333	650	111	295	28	11	287	77	-9	+0	+0	+4	+7	0.2
2032	24	MLB CTX	COL	57%	345	300	67	10	2	7	38	95	4	7	2	223	319	340	659	117	296	28	11	289	78	-9	+1	+0	+4	+7	0.3
2033	25	MLB CTX	COL	61%	378	329	73	11	2	8	42	104	4	7	3	222	317	340	658	119	296	28	11	290	79	-9	+0	+0	+4	+8	0.3
2034	26	MLB CTX	COL	63%	395	343	76	12	2	8	44	109	5	8	3	222	319	338	657	117	296	28	11	291	79	-10	+0	+0	+4	+9	0.4
2035	27	MLB CTX	COL	64%	401	348	77	12	2	8	45	111	5	8	3	221	319	336	655	115	296	28	11	291	79	-10	+0	+0	+4	+9	0.4
2036	28	MLB CTX	COL	65%	408	354	78	12	2	8	46	113	5	8	3	220	319	333	652	113	296	28	11	290	79	-10	+0	-0	+4	+9	0.3
2037	29	MLB CTX	COL	65%	402	348	76	11	2	8	46	112	5	7	3	218	318	330	649	112	295	28	11	288	78	-11	+0	-1	+4	+9	0.2
2038	30	MLB CTX	COL	65%	395	343	74	11	2	7	45	111	4	7	3	216	314	321	634	105	294	28	11	285	76	-11	+0	-1	+4	+9	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3854	3349	734	112	20	72	430	1073	45	73	28	219	316	329	645	110	298	28	11	286	75	-107	+3	-3	+41	+84	1.9
/ 162G	—	A+C		—	650	565	123	19	3	12	73	181	8	12	5	218	316	326	642	108	296	28	11	286	75	-18	+1	-0	+7	+14	0.3
Career	—	MLE		—	6676	5800	1193	172	28	106	747	1877	75	129	45	206	304	300	604	94	282	28	11	279	75	-184	+7	-4	+70	+141	3.0
/ 162G	—	MLE		—	650	565	116	17	3	10	73	183	7	13	4	205	304	299	603	94	283	28	11	279	75	-18	+1	-0	+7	+14	0.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Brendan Ryanlast yr '15 career totals — 9 seasons, 2,872 PA	4.3	2,872	19	67	234	295	315	+30	+85	10.6	11.0
/162	664	4	15	+6.9	+19.7	2.4	pk7: 11
#3Cliff 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
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#6Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.0	3,996	65	74	207	302	304	+43	+24	4.4	4.1
/162	664	11	12	+7.1	+4.0	0.7	pk7: 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
Daniel Meza (OGILVIE)	18	30	20	50	60	179/277/226	48	268	1	4	31%	11%	50	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nicoll Parra 2012 · A	18	39	36→30	44→55	45	183/264/252	70	275	4	8	32%	8%	50	-2.3	197/307/251	54	268	1	18	24%	12%	67	-1.1	186/321/224	38	254	0	27	22%	14%	65	-0.4
✕Yeremy Cabrera 2023 · A	18	37→42	38→45	53→60	48	181/263/263	82	240	5	13	26%	8%	52	-2.2	207/289/321	114	272	11	17	26%	9%	75	-0.5	202/287/312	110	269	12	24	27%	8%	70	-0.5
✕Iraj Serrano 2017 · A	18	38	35→30	50	50	178/255/236	59	221	2	10	20%	8%	43	-2.8	208/295/256	48	264	1	10	19%	9%	62	-1.4	206/304/235	29	266	0	10	20%	10%	59	-0.6
✕Carlos Soler 2018 · A	18	39	37→45	46→45	39	187/248/267	80	274	3	8	31%	6%	47	-2.6	216/272/305	89	319	3	8	31%	6%	63	-1.3	238/290/344	106	352	2	8	31%	5%	76	-0.2
✕Richard Rodriguez 2012 · A	19	39	36→30	48→50	45	186/255/247	61	260	3	12	28%	8%	45	-2.7	210/266/251	41	261	1	14	19%	7%	49	-2.4	233/291/254	20	278	0	16	15%	7%	56	-0.6
✕Ronier Lascarro 2019 · A	18	43	35→40	47→50	47	199/274/261	62	291	2	7	30%	9%	55	-1.9	201/287/276	75	282	4	9	27%	10%	63	-1.3	200/308/280	80	249	4	10	19%	12%	70	-0.4
✕Juan Mosquera 2007 · A	19	38	35→30	49→55	44	180/246/238	57	263	3	15	31%	8%	38	-3.2	201/290/246	45	281	1	14	26%	10%	58	-1.7	210/308/237	27	280	0	17	22%	11%	61	-0.5
✕Deivi Estrada 2019 · A	18	40	36→30	45→50	43	190/259/260	71	280	2	10	31%	7%	49	-2.4	210/287/274	64	289	3	9	26%	9%	63	-1.4	195/270/241	46	288	2	8	30%	8%	47	-0.8
✕Michael De La Cruz 2015 · A	19	43	35→40	46→50	50	199/283/256	57	281	2	10	28%	10%	57	-1.8	188/254/253	65	290	3	9	33%	8%	45	-2.7	169/235/227	58	265	2	10	34%	7%	30	-1.3
✕Sauris Mejia 2015 · A	18	42	35→40	48→50	45	193/273/252	59	282	2	13	30%	8%	53	-2.1	205/290/285	80	293	6	12	29%	9%	67	-1.1	189/292/264	75	265	7	15	28%	11%	61	-0.5
✕Kleininger Teran 2007 · A	18	43	36→30	46→45	46	204/263/271	66	266	4	5	24%	7%	52	-2.2	214/282/273	59	266	2	5	19%	8%	60	-1.6	228/286/289	61	277	1	3	17%	7%	62	-0.6
✕Kleiber Rodriguez 2018 · A	19	37	35→30	46→40	46	175/250/234	59	244	2	5	27%	8%	40	-3.0	219/280/288	69	282	3	5	21%	7%	63	-1.4	240/298/301	61	284	2	4	15%	8%	71	-0.4
✕Francisco Aponte 2009 · A	18	43	36→30	49→60	46	205/268/268	64	265	4	9	23%	7%	54	-2.0	230/305/289	59	291	2	17	20%	8%	73	-0.6	224/288/270	46	274	0	22	17%	8%	61	-0.6
✕Marco Guzman 2013 · A	18	37	35→45	47→50	47	176/257/242	66	244	2	8	26%	8%	45	-2.7	198/263/278	80	251	4	7	22%	8%	55	-2.0	224/262/324	100	290	5	8	24%	5%	62	-0.5
✕Daniel Vellojin 2019 · A	19	39	39→45	47→45	48	189/268/273	83	260	6	6	28%	9%	56	-1.9	213/303/311	98	271	7	8	22%	10%	78	-0.3	194/297/306	112	259	11	6	27%	12%	72	-0.3
✕Andrés Nolaya 2023 · A	18	41	35→45	44→50	47	190/277/250	60	289	2	10	32%	10%	55	-2.0	190/259/257	67	295	3	15	34%	7%	49	-2.4	198/276/278	80	279	7	21	29%	7%	58	-0.6
✕Omar Alfonzo 2023 · A	19	36→40	37→45	48→40	48	173/263/240	67	258	5	3	32%	10%	47	-2.5	205/289/309	104	317	11	4	35%	10%	72	-0.7	200/285/310	110	312	13	2	37%	10%	69	-0.6
✕German Ortiz 2023 · A	18	42	35→30	51→45	48	192/278/251	59	291	1	7	31%	10%	55	-2.0	195/274/252	57	289	2	6	30%	9%	53	-2.1	193/254/254	61	285	3	3	31%	7%	42	-0.9
✕Yasmil Bucce 2023 · A	18	41	39→50	49→40	45	196/264/278	82	269	6	5	28%	8%	55	-1.9	200/286/292	92	306	7	4	34%	10%	68	-1.0	189/297/321	132	304	15	2	39%	12%	76	-0.2
✕Hidekel Abreu 2016 · A	18	42	36→40	49→50	45	199/266/263	64	280	3	8	28%	8%	52	-2.2	223/284/304	81	293	5	10	24%	7%	68	-1.0	237/299/317	80	300	6	12	21%	8%	72	-0.3

Career Stats + Projections

Career Comps

Career Path Comps