Jose Meza — OGILVIE

Jose MezaOF Great Lakes Loons

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

2026 ROS PROJECTION297 act + 198 ros · stats below = ROS only

wRC+†74

AVG/OBP/SLG.208 / .301 / .318

PA198

HR4

SB6

K%31

BB%10

BABIP296

ISO110

MLB%0%

Value2026 · WAR

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

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	Pre-Arb	$0.9M	+0.4	$1M	+$0.6M
2031	Pre-Arb	$0.9M	+0.2	$0.5M	+$0.0M
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		$2M		$2M	+$0.6M

Career Stats + Projections

Viewactual = stats as recorded (prior seasons combined) + projected real-world MLB lines · MLE = level/park-neutral translations

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
2021	18	ROK	DSL LAD Bautista	—	200	173	30	5	2	2	13	74	10	8	6	173	270	260	531	87	280	37	6	226	31	—	—	—	—	—	—
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	125	—	—	—	—	—	—
2022	19	ROK	DSL LAD Mega	—	218	197	40	5	1	5	12	62	5	9	3	203	266	315	581	112	261	28	6	251	50	—	—	—	—	—	—
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	124	—	—	—	—	—	—
2023	20	ROK	ACL Dodgers	—	235	194	45	5	1	3	35	73	4	3	4	232	361	314	675	82	350	31	15	306	92	—	—	—	—	—	—
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	166	—	—	—	—	—	—
2024	21	A	2 teams	—	365	317	60	13	3	8	32	131	11	3	3	189	286	325	611	136	284	36	9	263	60	—	—	—	—	—	—
2024	21	A	2 teams	—	365	303	79	17	4	10	46	90	11	3	3	261	378	442	820	182	332	25	13	364	136	—	—	—	—	—	—
2025	22	A	Rancho Cucamonga Quakes	—	531	449	76	12	2	6	59	172	16	30	10	169	288	245	533	76	252	32	11	247	47	—	—	—	—	—	—
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	—	—	—	—	—	—
▸ 2026 Season (ACT · ROS-MLE · ROS-CTX · FULL)
YTD	23	A+	LAD	—	297	264	62	7	1	8	27	94	3	12	7	235	313	360	673	125	327	32	9	294	83	-6	-0	+0	-2	+8	0.1
YTD	23	A+	LAD	—	297	253	72	9	1	10	38	70	3	12	7	285	384	447	831	162	352	24	13	370	141	+14	-0	+0	-2	+8	2.0
ROS	23	A+	LAD	0%	198	173	36	5	1	4	20	62	3	6	3	208	301	318	619	110	293	31	10	282	74	-6	+0	+0	-1	+6	-0.1
ROS	23	MLB	LAD	0%	1	1	0	0	0	0	0	0	0	0	0						289	0	0	267	63	-0	+0	+0	-0	+0	-0.0
FULL	23	A+	LAD	—	298	265	62	7	1	8	27	94	3	12	7	234	312	358	670	125	325	32	9	294	83	-6	-0	+0	-2	+8	0.1
TOT	23	A+	LAD	—	495	437	98	12	2	12	47	156	6	18	10	224	308	343	651	119	315	32	9	289	79	-12	-0	+0	-3	+14	-0.1
▸ 2027+ Projections WITH CONTEXT · MLB TIME ONLY ⓘPARK-NEUTRAL MLE · ALL-LEVEL PT ⓘ
2027	24	MLB	LAD	30%	581	511	108	16	2	13	57	175	8	14	7	211	300	327	627	115	293	30	10	289	79	-14	+0	+0	-3	+16	-0.1
2028	25	MLB	LAD	44%	602	529	115	18	2	14	59	177	9	14	7	217	307	338	645	121	293	29	10	294	83	-11	+0	+0	-4	+17	0.2
2029	26	MLB	LAD	51%	607	533	116	18	2	15	60	176	9	14	7	218	307	343	651	126	293	29	10	297	85	-10	+0	+0	-4	+17	0.3
2030	27	MLB	LAD	52%	606	532	116	18	2	15	60	175	9	14	7	218	308	344	652	126	293	29	10	297	86	-10	+0	+0	-4	+17	0.4
2031	28	MLB	LAD	53%	601	528	115	18	2	15	60	175	8	13	7	218	307	345	652	127	292	29	10	296	85	-10	-0	-1	-4	+17	0.2
2027	24	MLB	LAD	30%	176	154	33	5	1	4	17	53	3	4	2	214	305	338	642	123	289	30	10	275	69	-6	+0	+0	-1	+5	-0.2
2028	25	MLB	LAD	44%	266	234	50	8	1	6	26	78	4	6	3	214	303	333	636	120	289	29	10	280	73	-8	+0	+0	-2	+8	-0.2
2029	26	MLB	LAD	51%	308	271	58	9	1	7	30	89	4	7	4	214	302	332	634	118	289	29	10	283	75	-9	-0	+0	-2	+9	-0.2
2030	27	MLB	LAD	52%	318	278	60	9	1	8	32	92	5	7	4	216	308	342	650	126	289	29	10	283	75	-9	-0	+0	-2	+9	-0.2
2031	28	MLB	LAD	53%	320	280	60	9	1	8	32	93	5	7	3	214	306	339	645	125	289	29	10	282	74	-9	+0	-0	-2	+9	-0.2
▸ Career Totals
Career	—			—	1389	1218	261	40	5	33	137	405	21	31	16	214	305	337	641	122	289	29	10	281	73	-42	-0	-0	-8	+39	-1.1
/ 162G	—			—	650	570	122	19	2	15	64	190	10	15	7	214	304	333	638	119	290	29	10	281	73	-19	+0	-0	-4	+18	-0.5
Career	—			—	4744	4136	857	133	20	100	467	1452	92	128	64	207	302	322	623	114	289	31	10	282	74	-139	+0	-1	-28	+134	-3.5
/ 162G	—			—	650	567	118	18	3	14	64	199	13	18	9	208	303	325	628	116	290	31	10	282	74	-19	+0	-0	-4	+18	-0.5

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	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
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	125	+6	-1	—	—	+6	1.1
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	124	+6	+1	—	—	+6	1.3
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	166	+18	-1	—	—	+7	2.4
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	104	+1	-0	—	—	+7	0.8
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	213	+14	-0	—	—	+3	1.7
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	—	—	+15	2.1

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Top row of each card is career totals; bottom row is per-162-game rates. Pool: 727 completed hitter careers (2000-2024).

PLAYER · career totals + /162 games	YRS	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	8	3,127	81	135	251	317	406	-20	-4	8.9	8.7
	/162	664	17	29	251	317	406	-4.2	-0.8	1.9	pk7: 9
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	8	2,711	81	55	233	305	399	-12	-13	4.1	4.5
	/162	664	20	13	233	305	399	-2.9	-3.2	1.0	pk7: 5
#3Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
	/162	664	20	20	241	309	409	-7.1	-5.8	0.8	pk7: 5
#4Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	6	2,347	46	31	241	304	367	-5	+7	3.8	3.8
	/162	664	13	9	241	304	367	-1.3	+1.9	1.1	pk7: 4
#5Pokey Reeselast yr '04 career totals — 5 seasons, 1,914 PA	5	1,914	29	78	242	303	347	-6	+6	2.7	2.7
	/162	664	10	27	242	303	347	-2.0	+2.2	1.0	pk7: 3
#6Doug Glanvillelast yr '04 career totals — 5 seasons, 2,256 PA	5	2,256	35	90	259	290	356	-9	+3	1.3	1.3
	/162	664	10	26	259	290	356	-2.8	+0.9	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	2	1,390	33	32	219	305	344	-8	+0	0.6	0.6
	/162	664	16	15	219	305	344	-4.0	+0.0	0.3	pk7: 1

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	224/308/343	119	315	12	18	32%	9%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Connor Kokx 2023 · A	23	42	40	48→60	49	204/292/297	93	273	8	14	27%	9%	67	-0.5	205/289/284	79	296	5	24	30%	8%	63	-0.9	193/283/259	66	288	4	34	31%	8%	51	-0.7
✕Dylan Neuse 2023 · A	24	36	40	49→50	44	178/256/260	82	272	8	14	35%	9%	42	-2.3	211/287/303	92	304	7	12	30%	9%	66	-0.6	219/303/313	94	309	5	13	28%	10%	75	-0.0
✕Blake Rambusch 2023 · A	23	47	37→30	52→65	42	219/287/293	74	318	4	14	30%	7%	63	-0.9	230/317/295	65	313	3	29	25%	9%	76	+0.1	252/330/304	52	316	1	49	19%	9%	79	+0.1
✕Andy Paz 2016 · A	23	38	37→40	48→45	42	185/247/254	69	274	5	6	33%	8%	36	-2.7	220/269/285	65	296	4	7	25%	6%	52	-1.6	226/270/274	48	296	3	7	23%	6%	46	-0.7
✕Taylor Krick 2011 · A	23	43	38→30	48→40	51	205/292/282	77	270	6	7	25%	10%	63	-0.8	226/312/290	64	313	3	5	26%	8%	73	-0.1	233/324/284	51	328	2	2	26%	8%	74	-0.0
✕Corey Joyce 2022 · AA	23	40	39→45	54→50	39	192/262/274	82	303	8	14	37%	7%	48	-1.9	206/305/332	126	296	13	13	32%	10%	82	+0.5	214/316/327	113	306	11	14	30%	10%	82	+0.3
✕Kyler Fedko 2023 · A	23	43→42	43→50	51→55	47	212/285/327	114	283	10	10	27%	8%	71	-0.3	202/288/323	121	269	12	14	28%	10%	72	-0.2	197/277/356	159	247	21	23	29%	9%	74	-0.0
✕Nolan Fontana 2014 · A	23	42→43	39→40	52→50	58	198/312/287	89	285	6	14	30%	14%	73	-0.1	204/300/291	87	305	4	9	30%	12%	69	-0.4	184/288/308	124	252	11	12	29%	12%	68	-0.2
✕Christian Cairo 2023 · A	22	39→46	38→40	53→60	49	182/289/262	80	287	6	16	35%	11%	58	-1.2	202/293/281	79	297	5	23	30%	10%	63	-0.8	214/304/283	68	303	4	34	27%	10%	66	-0.4
✕Alerick Soularie 2022 · A	23	43	43→45	54→60	45	205/286/312	107	309	10	15	34%	9%	68	-0.5	194/278/311	117	294	12	22	35%	9%	65	-0.7	176/267/290	113	262	13	29	35%	9%	53	-0.7
✕Alexander Campos 2022 · A	22	43	41→40	46→45	48	206/290/308	102	278	8	6	27%	9%	69	-0.4	221/302/309	88	318	7	6	30%	9%	74	-0.1	242/332/316	74	335	8	6	27%	10%	86	+0.3
✕Michael Suiter 2015 · A	23	43→38	41→40	52→50	43	211/279/308	98	266	9	15	24%	6%	64	-0.8	201/253/280	79	278	6	10	29%	5%	44	-2.1	193/242/263	70	268	6	10	29%	4%	32	-1.7
✕Jake Thomas 2016 · A	23	44	39→30	49→50	47	210/289/293	83	281	7	8	26%	8%	64	-0.8	203/284/269	66	306	2	8	31%	10%	56	-1.3	195/285/252	57	302	1	8	32%	11%	49	-0.9
✕Dwanya Williams-Sutton 2021 · A	24	41	41→45	50	45	190/309/282	92	303	8	10	35%	10%	72	-0.2	207/308/334	127	335	14	13	39%	9%	85	+0.7	165/295/298	133	275	17	18	41%	11%	70	-0.1
✕Richard Nunez 2018 · A	23	42	36→30	49→55	48	197/274/261	64	266	3	12	26%	9%	50	-1.8	200/270/286	86	282	5	7	28%	8%	54	-1.4	196/275/293	97	250	9	3	24%	9%	56	-0.2
✕Kier Meredith 2022 · A	22	42	36→30	51→60	45	198/268/265	67	279	4	12	29%	8%	47	-1.9	206/304/278	72	297	4	26	29%	9%	68	-0.5	217/333/268	51	299	3	35	25%	10%	75	-0.0
✕Hudson Haskin 2022 · A	23	48→44	40	52→50	42	226/301/321	96	314	7	18	28%	6%	77	+0.1	220/305/333	113	311	10	15	30%	7%	82	+0.5	210/305/318	108	304	10	17	31%	8%	76	+0.1
✕Luis Santana 2022 · AA	23	39	42→45	47→50	39	198/255/299	101	269	10	10	30%	5%	51	-1.7	211/272/334	123	278	13	9	28%	6%	67	-0.5	201/263/321	120	259	14	7	27%	6%	57	-0.7
✕Dom Duggan 2008 · A	23	45	39→40	54→55	47	213/288/305	92	287	5	13	26%	8%	66	-0.6	207/263/285	78	289	3	16	28%	6%	50	-1.8	197/251/269	72	273	3	20	27%	5%	37	-1.1
✕Evan Chambers 2012 · A	23	36→37	42→40	47→50	47	183/270/286	104	259	10	17	32%	9%	56	-1.3	179/260/257	78	296	6	13	38%	9%	43	-2.2	138/227/178	40	255	2	14	42%	10%	9	-2.6