Jose Meza — OGILVIE

Jose MezaOF Great Lakes Loons

Age 23 R/R 6'2" / 160 lbs A+ HR +8%BB -8% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION423 act + 10 ros · stats below = ROS only

showingROS

wRC+†64

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP273

ISO97

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 35 / POW 30

Toolsscout grade

CONTACT35

scouting grade only

POWER30

scouting grade only

EYE60

scouting grade only

SPEED55

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$0.0M

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)
2021	18	ROK	DSL LAD Bautista	—	200	163	42	7	3	3	23	48	10	8	6	258	383	393	775	135	339	24	12	349	122	+5	-1	—	—	+4	0.9
2022	19	ROK	DSL LAD Mega	—	218	187	50	8	2	6	22	41	5	9	3	267	360	428	788	160	306	19	10	348	121	+6	+1	—	—	+5	1.1
2023	20	ROK	ACL Dodgers	—	235	174	50	7	1	4	55	51	4	3	4	287	468	408	876	121	380	22	23	403	159	+16	-1	—	—	+5	2.1
2024	21	A	Rancho Cucamonga Quakes	—	256	216	47	10	3	7	27	63	9	2	2	218	329	389	718	171	267	25	11	321	103	+1	-0	—	—	+6	0.6
2024	21	ROK	ACL Dodgers	—	109	87	32	7	1	3	19	27	2	1	1	368	491	575	1.065	207	500	25	17	464	200	+13	-0	—	—	+2	1.5
2025	22	A	Rancho Cucamonga Quakes	—	531	428	95	17	4	8	80	125	16	30	10	222	365	336	701	114	288	24	15	324	106	+4	+2	—	—	+12	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	DSL LAD Bautista	—	200	172	31	5	2	2	14	71	10	8	6	180	281	267	548	87	261	36	7	235	45	-13	-1	—	—	+4	-1.0
2022	19	ROK MLE	DSL LAD Mega	—	218	196	39	5	1	5	13	61	5	9	3	199	266	311	578	112	248	28	6	253	57	-11	+1	—	—	+5	-0.6
2023	20	ROK MLE	ACL Dodgers	—	235	195	43	5	1	3	34	73	4	3	4	221	348	303	650	82	327	31	14	301	90	-3	-1	—	—	+5	0.1
2024	21	A MLE	Rancho Cucamonga Quakes	—	256	223	38	8	2	6	20	88	9	2	2	170	266	305	571	135	227	34	8	248	54	-14	-0	—	—	+6	-0.9
2024	21	ROK MLE	ACL Dodgers	—	109	95	24	5	1	2	11	39	2	1	1	253	343	389	732	137	389	36	10	321	103	+0	-0	—	—	+2	0.3
2025	22	A MLE	Rancho Cucamonga Quakes	—	531	450	77	12	2	7	58	170	16	30	10	171	288	253	542	82	245	32	11	251	56	-28	+2	—	—	+12	-1.5
2021	18	ROK MLE	DSL LAD Bautista	—	200	172	31	5	2	2	14	71	10	8	6	180	281	267	548	87	284	36	7	235	45	—	—	—	—	—	—
2021	18	ROK RAW	DSL LAD Bautista	—	200	163	42	7	3	3	23	48	10	8	6	258	383	393	775	135	339	24	12	349	45	—	—	—	—	—	—
2022	19	ROK MLE	DSL LAD Mega	—	218	196	39	5	1	5	13	61	5	9	3	199	266	311	578	112	254	28	6	253	57	—	—	—	—	—	—
2022	19	ROK RAW	DSL LAD Mega	—	218	187	50	8	2	6	22	41	5	9	3	267	360	428	788	160	306	19	10	348	57	—	—	—	—	—	—
2023	20	ROK MLE	ACL Dodgers	—	235	195	43	5	1	3	34	73	4	3	4	221	348	303	650	82	331	31	14	301	90	—	—	—	—	—	—
2023	20	ROK RAW	ACL Dodgers	—	235	174	50	7	1	4	55	51	4	3	4	287	468	408	876	121	380	22	23	403	90	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	365	318	62	13	3	8	31	127	11	3	3	195	289	330	619	135	287	35	8	270	69	—	—	—	—	—	—
2024	21	A RAW	2 teams	—	365	303	79	17	4	10	46	90	11	3	3	261	378	442	820	182	332	25	13	364	69	—	—	—	—	—	—
2025	22	A MLE	Rancho Cucamonga Quakes	—	531	450	77	12	2	7	58	170	16	30	10	171	288	253	542	82	250	32	11	251	56	—	—	—	—	—	—
2025	22	A RAW	Rancho Cucamonga Quakes	—	531	428	95	17	4	8	80	125	16	30	10	222	365	336	701	114	288	24	15	324	56	—	—	—	—	—	—
2021	18	ROK MLE	DSL LAD Bautista	—	200	174	31	5	2	2	14	71	10	8	6	178	281	264	545	86	261	36	7	235	45	—	—	—	—	—	—
2022	19	ROK MLE	DSL LAD Mega	—	218	198	39	5	1	5	13	61	5	9	3	197	266	308	574	111	248	28	6	253	57	—	—	—	—	—	—
2023	20	ROK MLE	ACL Dodgers	—	235	195	43	5	1	3	34	73	4	3	4	221	348	303	650	82	327	31	14	301	90	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	365	320	62	13	3	8	31	127	11	3	3	194	289	328	617	134	275	35	8	270	69	—	—	—	—	—	—
2025	22	A MLE	Rancho Cucamonga Quakes	—	531	452	77	12	2	7	58	170	16	30	10	170	288	252	540	82	245	32	11	251	56	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	ROK MLE	ACL Dodgers	—	235	195	43	5	1	3	34	73	4	3	4	221	348	303	650	82	327	31	14	301	90	—	—	—	—	—	—
2024	21	A MLE	2 teams	—	365	320	62	13	3	8	31	127	11	3	3	194	289	328	617	134	275	35	8	270	69	—	—	—	—	—	—
2025	22	A MLE	Rancho Cucamonga Quakes	—	531	452	77	12	2	7	58	170	16	30	10	170	288	252	540	82	245	32	11	251	56	—	—	—	—	—	—
YTD	23	A+ MLE	LAD	—	423	378	75	9	1	8	36	139	6	13	7	198	279	291	570	93	286	33	9	256	59	-20	-0	+0	-3	+9	-1.4
▸ 2026 season
YTD	23	A+ RAW	LAD	—	423	363	89	12	1	10	51	103	6	13	7	245	348	366	714	121	312	24	12	325	59	—	—	—	—	—	—
ROS	23	A+ MLE	LAD	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		277	30	10	263	64	-0	+0	+0	-0	+0	-0.0
TOT	23	A+ MLE	LAD	—	433	387	76	9	1	8	37	142	6	13	7	196	277	287	564	90	283	33	9	256	60	-21	-0	+0	-3	+9	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	30%	534	471	95	14	2	11	50	163	8	11	5	202	289	310	599	108	280	31	9	274	71	-18	+0	+0	-3	+12	-1.0
2028	25	MLB MLE	LAD	44%	564	498	103	16	2	12	53	168	8	11	5	207	293	319	613	112	281	30	9	280	76	-16	+0	+0	-3	+12	-0.7
2029	26	MLB MLE	LAD	51%	581	513	107	17	2	13	55	171	8	12	6	209	295	326	621	117	282	29	9	283	78	-15	+0	+0	-3	+13	-0.6
2027	24	MLB CTX	LAD	30%	162	144	28	4	0	3	15	50	2	3	2	194	280	285	564	90	276	31	9	262	71	-6	-0	+0	-1	+4	-0.3
2028	25	MLB CTX	LAD	44%	250	221	46	7	1	6	23	74	4	5	2	208	294	330	625	122	277	30	9	268	76	-7	+0	+0	-2	+5	-0.3
2029	26	MLB CTX	LAD	51%	295	261	54	8	1	7	28	87	4	6	3	207	294	326	619	119	278	29	9	272	78	-8	+0	+0	-2	+6	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	707	626	128	19	2	16	66	211	10	14	7	204	291	318	608	113	279	30	9	268	69	-21	+0	+0	-4	+15	-1.0
/ 162G	—	A+C		—	650	576	118	17	2	15	61	194	9	13	6	205	291	319	611	115	278	30	9	268	69	-19	+0	+0	-4	+14	-0.9
Career	—	MLE		—	3238	2822	558	87	15	61	309	1007	70	87	42	198	293	304	597	106	279	31	10	271	69	-50	+0	+0	-10	+37	-2.4
/ 162G	—	MLE		—	650	566	111	17	3	12	62	202	14	17	8	196	291	300	591	104	277	31	10	271	69	-19	+0	+0	-4	+14	-0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#3Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#5Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#6Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	1.1	708	15	14	207	291	321	-4	+0	-0.5	-0.2
/162	664	14	13	-4.0	+0.0	-0.4	pk7: 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
Jose Meza (OGILVIE)	23	35	30	55	60	192/280/285	93	277	6	8	32%	9%	64	-0.7	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	177/255/257	79	269	8	14	35%	9%	48	-2.5	207/287/299	92	295	7	12	29%	9%	69	-0.9	212/301/305	93	294	5	13	27%	10%	75	-0.3
✕Connor Kokx 2023 · A	23	42	41→40	48→60	48	203/291/301	98	272	9	14	27%	9%	72	-0.7	205/289/282	77	288	5	24	28%	8%	66	-1.1	195/285/255	60	281	3	34	29%	8%	56	-0.8
✕Alerick Soularie 2022 · A	23	43	42→45	54→60	45	207/286/310	104	309	10	15	34%	9%	71	-0.8	194/277/309	115	290	12	22	35%	9%	68	-1.0	178/266/288	110	261	13	29	34%	9%	58	-0.8
✕Kyler Fedko 2023 · A	23	43→42	42→50	51→55	47	210/284/319	109	280	9	10	27%	8%	72	-0.7	203/288/320	117	266	12	14	26%	10%	74	-0.5	197/276/341	144	245	18	22	27%	9%	73	-0.4
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	210/289/293	83	281	7	8	26%	8%	68	-1.0	206/288/273	67	306	2	8	30%	10%	63	-1.3	200/292/257	57	304	1	8	30%	11%	59	-0.8
✕Mike Martin 2016 · A	23	40	35→30	52→55	42	183/275/240	57	297	3	13	36%	8%	52	-2.2	223/279/284	61	291	3	17	23%	6%	61	-1.5	242/289/295	53	301	2	23	19%	5%	65	-0.5
✕Richard Nunez 2018 · A	23	42	36→30	49→55	48	197/274/261	64	266	3	12	26%	9%	55	-1.9	200/270/286	86	282	5	7	28%	8%	59	-1.6	196/275/293	97	250	9	3	24%	9%	61	-0.3
✕Yoel Romero 2021 · A	23	43	38→40	46→50	45	206/268/286	80	275	6	9	26%	7%	58	-1.7	216/267/308	92	323	7	4	33%	6%	62	-1.4	212/260/299	87	317	7	0	34%	5%	55	-0.8
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕River Town 2022 · A	23	43→38	37→40	54→50	43	203/281/276	74	285	3	12	28%	7%	61	-1.5	210/295/314	104	266	10	15	23%	8%	76	-0.4	205/297/303	98	254	9	15	22%	9%	73	-0.4
✕Alfredo González 2015 · A	23	42	38→30	52→45	43	203/264/285	81	271	6	9	26%	6%	56	-1.9	233/294/295	62	311	4	6	24%	7%	70	-0.9	228/291/282	54	298	4	5	23%	7%	63	-0.7
✕Evan Chambers 2012 · A	23	38→37	43→40	47→50	47	187/278/293	106	270	10	17	32%	10%	65	-1.2	184/269/264	80	300	6	13	37%	10%	55	-2.0	146/242/188	42	259	2	14	40%	11%	28	-2.2
✕Dom Duggan 2008 · A	23	45	39→40	54→55	47	213/288/305	92	287	5	13	26%	8%	70	-0.8	207/263/285	78	289	3	16	28%	6%	55	-1.9	197/251/269	72	273	3	20	27%	5%	45	-1.2
✕Hudson Haskin 2022 · A	23	48→45	40	52→50	41	224/300/321	97	314	7	18	29%	6%	79	-0.2	220/305/332	112	309	10	15	30%	7%	84	+0.1	208/303/313	105	301	9	17	31%	8%	77	-0.2
✕Christian Cairo 2023 · A	22	39→46	39→40	53→60	49	181/288/262	81	287	6	16	35%	11%	63	-1.4	203/293/281	78	295	5	23	30%	10%	68	-1.0	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Grae Kessinger 2021 · A	23	43→31	39→45	50	47	208/276/293	85	264	7	12	23%	8%	63	-1.4	191/260/296	105	257	12	15	29%	8%	59	-1.7	179/261/273	93	244	9	8	29%	9%	52	-0.9
✕Cade Gotta 2015 · A	23	41→51	39→45	54→55	46	195/271/287	91	276	5	16	29%	8%	60	-1.6	219/269/319	100	288	7	21	25%	6%	65	-1.2	244/303/339	95	309	5	36	21%	8%	81	-0.0
✕Willie Argo 2013 · A	23	47→38	38→40	49→55	45	217/288/296	79	303	4	14	28%	8%	68	-1.0	217/298/294	77	315	5	24	30%	9%	72	-0.7	196/277/282	86	290	7	27	32%	8%	60	-1.0
✕Michael Suiter 2015 · A	23	43→39	41→45	52→50	43	211/279/308	98	266	9	15	24%	6%	68	-1.0	203/255/282	79	275	6	10	27%	5%	52	-2.2	195/245/266	70	265	6	10	28%	4%	41	-1.7
✕Blake Rambusch 2023 · A	23	48	37→30	52→65	43	220/289/294	74	319	4	14	30%	7%	68	-1.0	230/314/295	65	316	3	29	25%	9%	78	-0.3	249/326/297	48	311	1	47	18%	9%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps