Jesus Chirinos — OGILVIE

Jesus ChirinosC Wisconsin Timber Rattlers

Age 25 R/R 6'1" / 165 lbs A+ BB +10%HR +7% Svc 0.0 · Ctrl thru 2035 peak 0.3 · 2028

wRC+†59

AVG/OBP/SLG.190 / .268 / .304

PA143

HR3

K%36

BB%9

MLB%0%

Scouting · now → future

HIT

20→20

PWR

37→37

SPD

43→43

EYE

53→53

trajectory · 10 yrs

0.4peak

2029

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	Arb-2	$0.9M	+0.3	$1M	+$0.5M
2031	Arb-3	$0.9M	+0.1	$0.5M	+$0.0M (cut)
2032	Ext / FA-deal	$0.9M	—	—	—
2033	Ext / FA-deal	$0.2M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-6M	-$10M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

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
2018	17	ROK	DSL Brewers	218	188	34	12	0	2	24	75	3	0	0	.181	.284	.277	.560	.096	.281	34	11	.248	48	-13	+0	+0	+4	+6	-0.3
2019	18	ROK	AZL Brewers Gold	128	121	17	2	1	1	5	59	2	1	0	.140	.188	.198	.386	.058	.262	46	4	.156	-22	-18	+0	+0	+2	+4	-1.2
2021	20	ROK	ACL Brewers Gold	172	155	33	6	1	4	17	62	0	0	0	.213	.291	.342	.633	.129	.326	36	10	.285	76	-5	+0	+0	+3	+5	0.3
2022	21	A	2 teams	591	529	90	11	0	10	54	271	1	3	1	.170	.248	.248	.496	.078	.314	46	9	.228	33	-45	+0	+0	+11	+17	-1.8
2023	22	A	3 teams	364	314	62	13	1	7	42	151	4	3	1	.197	.300	.312	.612	.115	.344	41	12	.278	71	-12	+0	+0	+7	+10	0.5
2024	23	A+	Wisconsin Timber Rattlers	327	296	51	11	0	4	29	136	0	1	0	.172	.246	.250	.496	.078	.297	42	9	.229	33	-25	+0	+0	+6	+9	-0.9
▸ 2026 Season
2026	25	MLB	MIL	143	128	24	5	0	3	13	51	1	2	1	.188	.268	.297	.564	.109	.289	36	9	.263	59	-7	+0	+0	+3	+4	0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	26	MLB 10%	MIL	157	141	28	6	1	3	14	54	1	2	1	.199	.276	.319	.595	.121	.290	34	9	.270	65	-6	+0	+0	+3	+4	0.1
2028	27	MLB 25%	MIL	250	223	45	9	1	6	23	85	2	3	1	.202	.282	.332	.614	.130	.290	34	9	.275	68	-9	+0	+0	+4	+7	0.3
2029	28	MLB 37%	MIL	311	277	56	11	1	7	29	104	2	4	1	.202	.282	.325	.607	.123	.290	33	9	.276	69	-11	+0	-1	+6	+9	0.3
2030	29	MLB 47%	MIL	343	305	61	12	1	8	32	115	3	4	1	.200	.282	.325	.607	.125	.289	34	9	.275	69	-12	+0	-1	+6	+10	0.3
2031	30	MLB 61%	MIL	362	322	64	13	1	8	34	122	3	3	0	.199	.281	.320	.601	.121	.288	34	9	.272	66	-14	+1	-2	+6	+10	0.1
2032	31	MLB 78%	MIL	353	314	61	12	1	7	33	121	3	2	0	.194	.277	.306	.583	.111	.286	34	9	.268	63	-15	+0	-3	+6	+10	-0.1
2033	32	MLB	MIL	335	299	57	11	1	7	31	116	2	1	0	.191	.271	.304	.575	.114	.284	35	9	.264	60	-15	+0	-4	+6	+9	-0.3
2034	33	MLB	MIL	303	270	51	10	1	6	28	107	2	0	0	.189	.270	.300	.570	.111	.283	35	9	.258	56	-15	+0	-4	+5	+9	-0.5
2035	34	MLB	MIL	258	230	43	8	1	5	24	94	2	0	0	.187	.270	.296	.565	.109	.281	36	9	.252	51	-14	+0	-5	+5	+7	-0.7
▸ Career Totals (MLE all levels + projections)
Career	—			4615	4112	777	152	12	88	432	1723	31	29	7	.189	.271	.296	.567	.107	.295	37	9	.257	55	-234	+3	-20	+82	+131	-3.8
/ 162G	—			650	579	109	21	2	12	61	243	4	4	1	.188	.270	.294	.564	.105	.295	37	9	.257	55	-33	+0	-3	+12	+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	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
2018	17	ROK	DSL Brewers	218	173	44	17	0	2	39	52	3	0	0	.254	.400	.387	.787	.133	.344	24	18	.358	132	+8	+0	—	—	+6	1.4
2019	18	ROK	AZL Brewers Gold	128	118	24	3	1	1	8	41	2	1	0	.203	.266	.271	.537	.068	.303	32	6	.248	48	-7	+0	—	—	+4	-0.4
2021	20	ROK	ACL Brewers Gold	172	142	42	8	1	5	30	43	0	0	0	.296	.419	.472	.890	.176	.394	25	17	.399	163	+12	+0	—	—	+5	1.8
2022	21	A	Carolina Mudcats	480	405	96	13	0	12	69	152	0	3	1	.237	.348	.358	.706	.121	.340	32	14	.321	104	+2	+0	—	—	+14	1.6
2022	21	INTL	Aguilas del Zulia	111	86	28	1	0	1	23	20	1	0	0	.326	.473	.372	.845	.047	.409	18	21	.393	159	+7	+0	—	—	+3	1.1
2023	22	A+	Wisconsin Timber Rattlers	71	62	11	4	0	2	9	24	0	1	0	.177	.282	.339	.620	.161	.250	34	13	.283	75	-2	+0	—	—	+2	0.0
2023	22	A	Carolina Mudcats	276	213	62	13	1	7	55	78	4	2	1	.291	.445	.460	.905	.169	.417	28	20	.403	167	+21	+0	—	—	+8	2.9
2023	22	INTL	Aguilas del Zulia	17	17	2	0	0	0	0	5	0	0	0	.118	.118	.118	.235	.000	.167	29	0	.106	-60	-3	+0	—	—	+0	-0.3
2024	23	A+	Wisconsin Timber Rattlers	327	284	63	14	0	6	41	106	0	1	0	.222	.320	.335	.655	.113	.328	32	13	.300	87	-5	+0	—	—	+9	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
Jesus Chirinos (OGILVIE)	25	20	37	43	53	.190/.268/.304	.114	.289	3	2	36%	9%	59	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Quincy McAfee 2023 · AA	25	39	43→45	43→45	46	.192/.280/.301	.108	.265	11	7	30%	9%	63	-0.8	.198/.277/.336	.138	.251	16	10	27%	7%	71	-0.3	.186/.266/.336	.150	.221	18	12	25%	7%	63	-0.5
✕Jayson Langfels 2014 · AA	25	42→32	43→40	46→50	37	.201/.264/.310	.109	.312	11	11	37%	6%	58	-1.2	.206/.279/.294	.088	.335	7	14	38%	7%	60	-1.0	.202/.285/.272	.070	.341	4	17	38%	8%	54	-0.8
✕Chris Williams 2022 · AA	25	36→31	45→55	50→40	45	.177/.269/.302	.125	.295	12	5	41%	11%	59	-1.1	.194/.271/.372	.178	.288	24	5	39%	9%	78	+0.2	.180/.262/.367	.188	.250	27	4	39%	9%	71	-0.2
✕Dylan Neuse 2023 · A	24	37	39→40	49→50	44	.183/.260/.264	.081	.271	8	14	33%	9%	45	-2.1	.205/.286/.296	.091	.292	7	13	29%	9%	63	-0.8	.211/.301/.305	.094	.293	5	13	27%	10%	72	-0.1
✕Nick Quintana 2023 · AA	25	38→40	44→45	43→45	48	.192/.276/.305	.113	.261	12	6	30%	9%	63	-0.9	.193/.276/.302	.109	.277	10	6	32%	9%	62	-0.9	.109/.220/.196	.087	.164	8	0	36%	9%	11	-1.0
✕JJ Schwarz 2022 · AA	26	38	44→45	47→30	44	.195/.260/.302	.108	.268	12	4	31%	8%	54	-1.4	.216/.284/.346	.130	.306	15	4	32%	9%	76	+0.0	.206/.279/.334	.128	.290	16	1	33%	9%	68	-0.3
✕Chase Pinder 2022 · AA	26	38	42→45	43→45	44	.190/.273/.285	.095	.272	10	5	32%	8%	56	-1.3	.226/.321/.370	.144	.293	15	10	26%	11%	98	+1.6	.221/.324/.370	.149	.286	16	11	27%	12%	97	+0.8
✕Maverick Handley 2023 · AA	25	40	45	51→50	44	.199/.282/.323	.124	.278	13	13	32%	8%	70	-0.3	.204/.293/.301	.097	.284	9	11	29%	9%	69	-0.4	.196/.289/.271	.075	.275	6	10	28%	9%	57	-0.6
✕Chadd Krist 2015 · A	25	40	41→40	44→45	43	.198/.262/.299	.100	.269	8	6	29%	7%	53	-1.5	.191/.246/.291	.100	.279	10	6	33%	6%	45	-2.1	.147/.198/.242	.094	.211	11	0	36%	5%	8	-1.4
✕Andres Sosa 2023 · A	25	39	42→40	52→45	46	.191/.291/.300	.109	.275	9	9	31%	9%	69	-0.4	.196/.285/.288	.092	.287	7	7	32%	8%	63	-0.9	.183/.273/.260	.077	.276	6	4	33%	7%	47	-0.7
✕Marcus Chiu 2022 · A	25	38→27	45	43→45	36	.181/.266/.304	.123	.322	14	5	44%	7%	59	-1.1	.202/.270/.326	.124	.305	14	5	37%	6%	66	-0.6	.184/.254/.305	.121	.274	15	3	37%	5%	50	-1.2
✕Toby Welk 2022 · AA	25	39→33	44→45	48→45	42	.196/.263/.315	.118	.271	12	9	31%	7%	59	-1.1	.204/.262/.318	.114	.295	12	7	33%	7%	59	-1.1	.195/.242/.316	.121	.282	13	0	35%	5%	50	-0.5
✕Nick Vickerson 2014 · A	25	38	43→40	50	47	.190/.271/.298	.108	.259	11	13	30%	9%	59	-1.1	.198/.292/.298	.100	.275	9	11	29%	10%	68	-0.5	.183/.296/.269	.086	.255	8	11	28%	12%	59	-0.7
✕Trevor Schwecke 2023 · AAA	25	40	43→45	42→50	39	.196/.257/.308	.111	.294	11	7	36%	7%	54	-1.4	.222/.280/.337	.115	.319	10	13	32%	7%	71	-0.3	.230/.289/.344	.113	.326	10	17	30%	7%	74	-0.0
✕Connor Kaiser 2022 · AA	25	36	44→45	46→50	44	.184/.253/.297	.113	.252	12	5	31%	8%	50	-1.7	.191/.266/.309	.118	.292	13	14	36%	9%	59	-1.1	.170/.258/.270	.101	.271	11	16	38%	10%	43	-1.1
✕Adam Donachie 2009 · AA	25	39	43→45	41→30	46	.197/.264/.301	.104	.263	12	3	29%	8%	56	-1.3	.188/.255/.282	.094	.263	9	3	30%	8%	46	-2.0	.169/.240/.257	.088	.234	9	0	30%	8%	33	-1.3
✕Blake Forsythe 2014 · AA	25	36→35	45	49→30	39	.186/.249/.310	.124	.279	12	3	37%	7%	51	-1.7	.195/.250/.307	.112	.309	11	4	38%	6%	51	-1.7	.180/.237/.276	.096	.295	10	0	40%	7%	34	-1.2
✕Jimmy Glowenke 2023 · A	24	37→39	46→45	43→45	37	.192/.258/.321	.130	.283	14	3	36%	6%	59	-1.1	.202/.276/.318	.116	.274	12	6	30%	7%	66	-0.6	.195/.276/.303	.107	.255	12	6	27%	7%	60	-0.7
✕Jan Vázquez 2016 · AA	25	41	43→40	43→45	40	.202/.270/.306	.105	.290	11	7	33%	7%	59	-1.1	.219/.292/.313	.094	.295	8	9	27%	7%	71	-0.3	.217/.296/.306	.089	.289	8	7	26%	7%	67	-0.2
✕Joe Cronin 2019 · AA	25	38	40→45	45→50	44	.183/.273/.272	.089	.281	8	7	35%	9%	53	-1.5	.192/.275/.296	.104	.296	10	10	35%	9%	59	-1.1	.166/.255/.274	.108	.249	11	13	35%	9%	43	-1.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)