Chavez Young — OGILVIE

Chavez YoungCF Nashville Sounds

Age 29 S/R 5'10" / 200 lbs AAA BB +10%HR +7% Svc 0.0 · Ctrl thru 2033

wRC+†67

AVG/OBP/SLG.204 / .281 / .312

PA188

HR3

SB7

K%28

BB%8

MLB%10%

trajectory · 10 yrs

-0.1peak

2026

Contract

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

Status MiLB

MLB Debut 2028

Service 0 yrs (est)

Team Control Through 2033

First FA Year 2034

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2028
2027	MiLB	still in minors · estimated debut 2028
2028	Pre-Arb	$0.8M	—	—	—
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.2M	—	—	—
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
Totals		$-10M		$-10M	+$0.0M

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
2016	19	ROK	GCL Blue Jays	81	75	13	5	1	0	4	37	2	6	1	.173	.235	.267	.501	.093	.342	46	5	.212	20	-7	+1	+0	+0	+2	-0.4
2017	20	ROK	Bluefield Blue Jays	281	257	56	10	5	3	8	82	8	4	5	.218	.264	.331	.594	.113	.301	29	3	.253	52	-15	-1	+0	+1	+8	-0.8
2018	21	A	Lansing Lugnuts	537	491	116	26	7	6	40	128	2	44	13	.236	.296	.354	.651	.118	.305	24	7	.286	77	-14	+4	+0	+2	+15	0.7
2019	22	A+	Dunedin Blue Jays	448	411	74	14	2	4	26	151	6	24	11	.180	.239	.253	.492	.073	.270	34	6	.220	27	-37	+0	+0	+2	+13	-2.3
2020	23	INTL	Canberra Cavalry	28	27	6	1	0	0	1	11	0	2	1	.222	.250	.259	.509	.037	.375	39	4	—	—	—	—	+0	+0	—	—
2021	24	AA	2 teams	457	409	94	18	3	9	35	149	7	26	7	.230	.302	.355	.656	.125	.332	33	8	.287	78	-11	+2	+0	+2	+13	0.6
2022	25	AAA	3 teams	320	290	63	6	2	6	25	90	3	22	3	.217	.286	.314	.600	.097	.291	28	8	.271	66	-12	+3	+0	+1	+9	0.1
2023	26	AA	3 teams	434	381	66	13	2	5	37	116	10	34	14	.173	.264	.257	.521	.084	.232	27	9	.235	38	-30	+1	+0	+2	+12	-1.6
2024	27	AAA	2 teams	234	208	38	8	2	2	13	77	6	9	6	.183	.251	.269	.520	.087	.273	33	6	.240	42	-15	-1	+0	+1	+7	-0.9
▸ 2026 Season
2026	29	MLB	MIL	188	168	35	7	1	3	14	53	4	7	2	.208	.285	.315	.600	.107	.279	28	7	.272	67	-7	+1	+0	+1	+5	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	30	MLB 20%	MIL	249	223	45	9	1	4	19	70	5	8	3	.202	.279	.305	.584	.103	.279	28	8	.275	68	-9	+0	-2	+1	+7	-0.3
2028	31	MLB 33%	MIL	251	225	46	9	1	4	19	70	5	7	2	.204	.281	.307	.588	.102	.279	28	8	.274	68	-9	+1	-3	+1	+7	-0.3
2029	32	MLB 43%	MIL	243	218	45	9	1	4	19	69	4	6	2	.206	.282	.312	.594	.106	.278	28	8	.272	67	-9	+0	-4	+1	+7	-0.5
2030	33	MLB 52%	MIL	220	197	41	8	1	4	17	63	4	4	1	.208	.284	.320	.604	.112	.277	29	8	.268	64	-9	+0	-4	+1	+6	-0.6
2031	34	MLB 70%	MIL	182	163	32	6	1	3	14	54	3	3	1	.196	.272	.301	.573	.104	.275	30	8	.262	59	-8	+0	-5	+1	+5	-0.8
▸ Career Totals (MLE all levels + projections)
Career	—			4153	3743	770	149	30	57	291	1220	69	206	72	.206	.275	.307	.583	.102	.286	29	7	.260	57	-203	+12	-17	+15	+118	-7.7
/ 162G	—			650	586	121	23	5	9	46	191	11	32	11	.206	.277	.309	.586	.102	.286	29	7	.260	57	-32	+2	-3	+2	+18	-1.2

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
2016	19	ROK	GCL Blue Jays	81	73	20	8	2	0	6	26	2	6	1	.274	.346	.438	.784	.164	.426	32	7	.348	125	+2	+1	—	—	+2	0.5
2017	20	ROK	Bluefield Blue Jays	281	252	71	14	7	4	13	58	8	4	5	.282	.337	.440	.777	.159	.345	21	5	.335	115	+5	-1	—	—	+8	1.2
2018	21	A	Lansing Lugnuts	537	470	134	33	9	8	58	100	2	44	13	.285	.364	.445	.809	.160	.344	19	11	.357	131	+19	+4	—	—	+15	3.8
2019	22	A+	Dunedin Blue Jays	448	401	99	17	4	6	35	102	6	24	11	.247	.316	.354	.670	.107	.314	23	8	.301	88	-6	+0	—	—	+13	0.7
2020	23	INTL	Canberra Cavalry	28	27	6	1	0	0	1	11	0	2	1	.222	.250	.259	.509	.037	.375	39	4	.232	36	-2	+0	—	—	+1	-0.1
2021	24	AA	New Hampshire Fisher Cats	324	279	74	15	2	7	35	81	4	20	3	.265	.354	.409	.763	.143	.342	25	11	.338	117	+6	+3	—	—	+9	1.9
2021	24	INTL	Indios de Mayaguez	133	106	24	3	2	1	23	31	3	6	4	.226	.379	.321	.700	.094	.311	23	17	.329	110	+1	-0	—	—	+4	0.5
2022	25	AAA	Buffalo Bisons	248	214	50	6	2	5	30	58	2	20	1	.234	.333	.350	.684	.117	.294	23	12	.311	96	-1	+4	—	—	+7	1.0
2022	25	A	Dunedin Blue Jays	20	18	5	0	0	1	1	5	1	1	0	.278	.350	.444	.794	.167	.333	25	5	.357	131	+1	+0	—	—	+1	0.1
2022	25	INTL	Indios de Mayaguez	52	45	13	2	2	0	7	11	0	1	2	.289	.385	.422	.807	.133	.382	21	13	.362	135	+2	-1	—	—	+1	0.3
2023	26	AAA	Indianapolis Indians	147	118	23	6	2	3	23	31	3	13	2	.195	.340	.356	.696	.161	.233	21	16	.315	99	-0	+2	—	—	+4	0.6
2023	26	AA	Altoona Curve	218	184	38	7	0	2	25	46	6	19	7	.207	.321	.277	.598	.071	.263	21	11	.281	73	-7	+1	—	—	+6	0.1
2023	26	INTL	Indios de Mayaguez	69	61	14	2	1	1	7	15	1	2	5	.230	.319	.344	.663	.115	.289	22	10	.303	90	-1	-2	—	—	+2	-0.0
2024	27	AAA	Nashville Sounds	171	148	31	7	2	2	14	46	6	7	4	.209	.304	.324	.628	.115	.287	27	8	.285	76	-5	-0	—	—	+5	-0.0
2024	27	INTL	Indios de Mayaguez	63	53	13	2	1	0	6	13	0	2	2	.245	.322	.321	.643	.075	.310	21	10	.276	70	-2	-0	—	—	+2	-0.1

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
Chavez Young (OGILVIE)	29	—	—	—	—	.204/.281/.312	.108	.279	3	7	28%	8%	67	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Anderson Machado 2010 · AAA	29	39→43	39→40	53→45	50	.190/.270/.278	.088	.256	6	14	27%	10%	52	-1.6	.205/.275/.294	.089	.287	5	7	28%	9%	58	-1.2	.225/.294/.316	.091	.326	2	0	29%	9%	69	-0.2
✕Luis Ugueto 2007 · AAA	28	40	44→45	55	42	.199/.261/.321	.121	.273	12	16	30%	7%	59	-1.1	.205/.255/.295	.090	.283	7	14	28%	6%	50	-1.8	.191/.240/.254	.064	.266	3	15	28%	6%	29	-1.7
✕JJ Muno 2022 · AA	28	39	43→40	53→60	39	.192/.276/.299	.108	.280	11	20	33%	6%	62	-0.9	.204/.287/.299	.095	.295	9	27	32%	7%	66	-0.6	.192/.283/.264	.072	.280	6	39	31%	7%	53	-0.9
✕Pedro Florimón 2016 · MLB	29	43→52	42→45	57→55	42	.208/.262/.315	.107	.285	8	22	29%	7%	57	-1.2	.221/.274/.334	.113	.321	9	15	32%	6%	67	-0.5	.224/.280/.339	.115	.329	10	11	33%	6%	69	-0.2
✕Ryan Cordell 2021 · MLB	29	42→41	45→55	49→50	40	.211/.264/.333	.122	.283	13	11	30%	6%	63	-0.8	.207/.271/.370	.163	.326	22	14	41%	7%	77	+0.1	.151/.220/.316	.164	.233	26	18	47%	7%	40	-0.9
✕Drew Jackson 2022 · AAA	29	42→45	45	56→55	45	.205/.290/.325	.121	.298	12	25	33%	9%	73	-0.1	.214/.291/.328	.114	.349	12	22	38%	9%	74	-0.1	.184/.261/.252	.069	.349	8	20	45%	8%	38	-0.9
✕Skyler Stromsmoe 2013 · AAA	29	46	38→40	50	46	.219/.285/.301	.082	.281	6	15	23%	7%	64	-0.8	.219/.295/.295	.076	.275	4	13	20%	8%	67	-0.5	.212/.296/.271	.058	.265	1	11	18%	8%	59	-0.4
✕Ray-Patrick Didder 2023 · AAA	28	42→46	43→45	53→60	39	.207/.274/.314	.107	.294	11	21	32%	6%	63	-0.8	.188/.283/.307	.119	.270	13	28	33%	9%	67	-0.5	.158/.273/.275	.117	.225	14	34	34%	10%	52	-1.1
✕Chris Rabago 2022 · AAA	29	40	40	47→55	44	.195/.262/.284	.089	.273	9	13	30%	8%	50	-1.7	.197/.263/.291	.094	.306	9	10	36%	7%	53	-1.5	.156/.228/.224	.068	.265	5	5	40%	6%	17	-1.2
✕Chris Basak 2008 · AAA	29	45→46	44→45	55	44	.224/.272/.341	.117	.269	11	20	21%	6%	69	-0.4	.219/.261/.331	.112	.270	10	16	22%	5%	61	-1.0	.212/.250/.317	.104	.261	9	16	22%	4%	50	-1.0
✕Albenis Machado 2008 · AAA	29	40	40	46→50	45	.196/.261/.289	.092	.265	8	9	28%	8%	51	-1.7	.229/.311/.321	.092	.272	7	11	17%	10%	80	+0.4	.246/.345/.318	.072	.283	3	10	12%	13%	93	+0.4
✕Tony Thomas 2015 · AAA	29	40→46	46→50	56→55	36	.203/.248/.338	.135	.289	12	15	34%	5%	58	-1.2	.210/.253/.342	.132	.318	12	11	36%	5%	61	-1.0	.203/.242/.337	.134	.313	12	7	38%	4%	52	-1.0
✕Myles Schroder 2017 · AAA	29	46	40→45	50	37	.221/.260/.308	.087	.281	7	12	24%	3%	55	-1.4	.215/.266/.326	.111	.285	10	9	27%	4%	63	-0.9	.204/.261/.328	.124	.277	12	6	30%	5%	58	-0.7
✕Taylor Featherston 2019 · MLB	29	38→45	45→50	54→50	37	.192/.249/.311	.118	.281	13	12	35%	6%	52	-1.6	.183/.238/.309	.126	.331	15	9	47%	5%	47	-1.9	.155/.208/.283	.128	.303	17	5	52%	4%	25	-2.6
✕Derek Wathan 2006 · AAA	29	43	43→45	52→50	44	.211/.257/.323	.112	.248	10	16	20%	5%	57	-1.2	.210/.243/.315	.105	.252	8	14	20%	4%	49	-1.8	.201/.227/.287	.087	.241	6	12	19%	3%	31	-1.3
✕Nolan Fontana 2019 · MLB	28	40→43	42→40	51→50	49	.195/.279/.303	.108	.267	9	12	29%	10%	63	-0.9	.201/.288/.323	.122	.291	12	10	32%	10%	72	-0.2	.122/.235/.206	.084	.191	10	0	38%	11%	20	-0.8
✕Angelo Castellano 2023 · AAA	28	38→42	41→45	47→50	43	.193/.254/.284	.092	.249	10	12	26%	6%	46	-2.0	.221/.284/.356	.135	.267	16	14	23%	8%	78	+0.2	.228/.293/.382	.154	.263	20	15	22%	8%	85	+0.3
✕Koyie Hill 2007 · MLB	28	42→43	42→45	48→40	47	.206/.270/.312	.106	.265	10	8	26%	8%	60	-1.0	.221/.276/.345	.124	.276	12	5	23%	7%	72	-0.2	.225/.284/.349	.124	.285	11	2	24%	7%	71	-0.2
✕Jason Smith 2006 · MLB	29	42→35	47→55	51→50	38	.215/.250/.359	.145	.271	14	14	27%	4%	64	-0.8	.220/.260/.375	.155	.300	18	10	32%	5%	72	-0.2	.208/.246/.368	.159	.291	19	5	35%	4%	62	-0.5
✕Garrett Stubbs 2022 · MLB	29	44	43→45	53→50	52	.214/.296/.324	.109	.266	10	16	23%	10%	76	+0.0	.227/.306/.345	.118	.294	12	12	25%	10%	85	+0.7	.219/.302/.318	.099	.288	9	12	25%	9%	72	-0.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)