Johan Contreras — OGILVIE

Johan ContrerasC FCL Yankees

Age 21 R/R 6'1" / 218 lbs ROK HR +8%BB +8% Svc 0.0 · Ctrl thru 2037 peak 1.8 · 2031

wRC+†55

AVG/OBP/SLG.197 / .266 / .294

PA68

HR1

K%33

BB%7

MLB%0%

trajectory · 10 yrs

1.8peak

2031

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	Ext / FA-deal	$0.9M	+1.8	$17M	+$16M
2033	Ext / FA-deal	$1.0M	+1.7	$17M	+$16M
2034	Ext / FA-deal	$1.0M	+1.5	$15M	+$14M
2035	Ext / FA-deal	$3M	+1.3	$14M	+$11M
2036	Ext / FA-deal	$3M	+1.0	$11M	+$8M
2037	Ext / FA-deal	$3M	+0.6	$3M	+$0.3M
Totals		$11M		$77M	+$65M

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
2022	17	ROK	DSL NYY Bombers	61	58	12	2	0	1	3	28	0	0	0	.207	.246	.293	.539	.086	.379	46	5	.218	25	-5	+0	+0	+1	+2	-0.2
2023	18	ROK	DSL NYY Bombers	131	109	15	4	0	0	16	52	6	1	1	.138	.282	.174	.457	.037	.263	40	12	.223	29	-11	-0	+0	+2	+4	-0.5
2024	19	ROK	DSL NYY Yankees	47	44	5	0	0	1	3	26	0	0	0	.114	.170	.182	.352	.068	.235	55	6	.141	-34	-7	+0	+0	+1	+1	-0.5
2025	20	ROK	FCL Yankees	72	68	5	1	0	0	2	45	2	0	0	.074	.125	.088	.213	.015	.217	62	3	.119	-51	-12	+0	+0	+1	+2	-0.9
▸ 2026 Season
2026	21	MLB	NYY	68	62	12	2	0	1	5	22	1	1	0	.194	.265	.274	.539	.081	.289	32	7	.257	55	-3	+0	+0	+1	+2	-0.0
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	22	MLB 11%	NYY	153	138	29	5	1	3	12	47	2	2	1	.210	.283	.326	.609	.116	.292	31	8	.277	70	-5	+0	+0	+3	+4	0.2
2028	23	MLB 28%	NYY	278	250	55	10	2	7	23	83	3	5	1	.220	.293	.360	.653	.140	.293	30	8	.289	80	-6	+1	+0	+5	+8	0.7
2029	24	MLB 45%	NYY	368	329	73	13	2	10	32	107	4	6	1	.222	.299	.365	.663	.143	.294	29	9	.297	85	-6	+1	+0	+7	+10	1.2
2030	25	MLB 60%	NYY	422	377	85	15	3	12	37	122	5	7	1	.225	.303	.377	.680	.151	.295	29	9	.302	89	-5	+1	+0	+8	+12	1.6
2031	26	MLB 77%	NYY	455	406	91	16	3	13	41	131	5	8	1	.224	.303	.374	.677	.150	.295	29	9	.304	91	-5	+1	+0	+8	+13	1.8
2032	27	MLB 92%	NYY	470	419	94	17	3	13	43	136	5	8	1	.224	.304	.372	.676	.148	.295	29	9	.304	91	-5	+1	+0	+8	+13	1.8
2033	28	MLB	NYY	476	424	95	17	3	13	44	139	5	7	1	.224	.304	.370	.675	.146	.295	29	9	.303	90	-5	+1	-1	+8	+13	1.7
2034	29	MLB	NYY	472	420	93	16	3	13	44	139	5	6	1	.221	.303	.367	.669	.145	.294	29	9	.301	88	-6	+1	-1	+8	+13	1.5
2035	30	MLB	NYY	466	415	90	16	2	13	43	139	5	5	0	.217	.298	.359	.657	.142	.292	30	9	.298	86	-7	+1	-2	+8	+13	1.3
2036	31	MLB	NYY	440	391	85	15	2	12	41	133	5	3	0	.217	.300	.358	.658	.141	.291	30	9	.294	83	-8	+1	-3	+8	+12	1.0
2037	32	MLB	NYY	411	366	78	14	2	10	38	126	4	1	0	.213	.294	.344	.638	.131	.289	31	9	.289	80	-10	+0	-4	+7	+12	0.6
2038	33	MLB	NYY	372	331	69	12	2	9	34	117	4	0	0	.208	.290	.338	.628	.130	.288	31	9	.284	75	-10	+0	-4	+7	+11	0.3
2039	34	MLB	NYY	321	286	58	10	2	7	29	103	3	0	0	.203	.283	.325	.608	.122	.286	32	9	.277	70	-11	+0	-5	+6	+9	-0.1
2040	35	MLB	NYY	264	235	47	8	1	6	24	88	3	0	0	.200	.282	.319	.602	.119	.284	33	9	.270	65	-11	+0	-6	+5	+7	-0.4
▸ Career Totals (MLE all levels + projections)
Career	—			5747	5128	1091	193	31	144	514	1783	67	60	9	.213	.293	.347	.640	.134	.294	31	9	.288	79	-139	+8	-25	+103	+163	11.1
/ 162G	—			650	580	124	22	4	16	58	202	8	7	1	.214	.294	.348	.642	.134	.296	31	9	.288	79	-16	+1	-3	+12	+18	1.3

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	HR	BB	SO	HBP	SB	CS	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2022	17	ROK	DSL NYY Bombers	61	55	18	3	2	6	19	0	0	0	.327	.393	.491	.884	.164	.471	31	10	.393	159	+4	+0	—	—	+2	0.6
2023	18	ROK	DSL NYY Bombers	131	100	20	6	0	25	36	6	1	1	.200	.389	.260	.649	.060	.312	27	19	.322	105	+1	-0	—	—	+4	0.4
2024	19	ROK	DSL NYY Yankees	47	42	7	0	1	5	18	0	0	0	.167	.255	.238	.493	.071	.261	38	11	.234	37	-3	+0	—	—	+1	-0.2
2025	20	ROK	FCL Yankees	72	66	12	3	1	4	31	2	0	0	.182	.250	.273	.523	.091	.324	43	6	.242	44	-5	+0	—	—	+2	-0.3

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
Johan Contreras (OGILVIE)	21	—	—	—	—	.197/.266/.294	.097	.289	1	1	33%	7%	55	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tucker Mitchell 2022 · A	21	43	39→50	51→45	39	.202/.262/.293	.090	.301	6	7	33%	6%	52	-1.6	.193/.267/.305	.112	.296	13	8	37%	7%	59	-1.1	.178/.253/.291	.113	.253	15	7	34%	7%	47	-0.8
✕Agustín Ramírez 2022 · A	20	37→45	43→55	44→50	39	.188/.245/.301	.113	.275	11	4	34%	6%	47	-1.9	.223/.286/.366	.143	.284	16	11	26%	8%	82	+0.5	.230/.293/.405	.176	.264	22	16	22%	7%	92	+1.1
✕Keon Broxton 2011 · A	21	38→48	41→55	53→60	36	.184/.238/.293	.109	.299	7	10	39%	6%	41	-2.3	.196/.253/.296	.100	.314	9	15	38%	7%	49	-1.8	.225/.301/.390	.165	.341	17	38	36%	9%	92	+1.0
✕Eddys Leonard 2021 · A	20	42→46	40→50	46→45	45	.200/.274/.295	.095	.288	7	9	31%	8%	59	-1.1	.227/.293/.378	.151	.302	17	5	29%	7%	89	+0.9	.224/.290/.376	.152	.290	17	4	28%	6%	83	+0.5
✕Michael Chavis 2017 · A	21	36→46	45→60	46→45	34	.189/.233/.308	.119	.271	13	6	35%	4%	44	-2.1	.224/.274/.401	.177	.296	23	4	32%	5%	86	+0.8	.235/.292/.438	.203	.304	29	3	32%	6%	100	+1.1
✕Dusty Ryan 2006 · A	21	38→47	40→50	44→40	39	.189/.242/.278	.089	.268	8	6	32%	6%	40	-2.4	.202/.268/.307	.105	.307	11	4	35%	7%	59	-1.1	.208/.285/.361	.154	.308	17	3	36%	9%	77	+0.1
✕Parker Meadows 2021 · A	21	40→47	41→55	46→55	42	.197/.253/.288	.091	.267	9	9	29%	7%	47	-1.9	.203/.263/.335	.132	.270	14	12	29%	7%	64	-0.8	.225/.292/.400	.175	.278	20	21	26%	8%	91	+1.1
✕David Bote 2014 · A	21	40→48	39→55	47→45	47	.191/.269/.278	.087	.263	6	7	28%	9%	52	-1.6	.204/.273/.294	.090	.273	6	6	26%	7%	57	-1.2	.234/.308/.397	.164	.298	19	6	27%	8%	95	+1.0
✕Daniel Schneemann 2019 · A	22	39→49	40→50	50	43	.189/.254/.283	.094	.277	7	6	33%	8%	46	-2.0	.211/.272/.298	.087	.290	7	8	28%	7%	57	-1.2	.226/.305/.377	.151	.297	15	13	28%	10%	89	+0.7
✕Ezequiel Duran 2021 · A	22	38→48	39→55	52→50	33	.186/.233/.270	.084	.294	7	8	38%	4%	33	-2.9	.226/.276/.390	.164	.313	19	14	33%	6%	84	+0.6	.235/.283/.404	.168	.313	19	14	30%	5%	88	+0.7
✕Eguy Rosario 2021 · A	21	43→49	42→55	48→55	39	.213/.259/.322	.109	.292	9	12	30%	5%	58	-1.2	.227/.286/.366	.139	.304	14	20	28%	7%	82	+0.5	.223/.285/.369	.146	.292	15	21	28%	7%	80	+0.2
✕Pablo Aliendo 2022 · A	21	39	39→55	45	38	.187/.262/.267	.080	.297	7	7	37%	6%	46	-2.0	.206/.270/.329	.123	.302	14	5	35%	6%	66	-0.6	.198/.266/.346	.148	.288	18	5	36%	6%	65	-0.4
✕Yu Chang 2017 · A	21	41→44	45→50	49→45	39	.206/.256/.333	.127	.283	12	8	31%	6%	60	-1.0	.202/.261/.347	.145	.281	16	8	33%	6%	66	-0.6	.213/.268/.374	.161	.271	20	6	29%	6%	75	-0.0
✕Jhostynxon Garcia 2023 · A	20	37→42	41→50	46→50	45	.182/.264/.278	.096	.277	8	8	35%	9%	50	-1.7	.199/.261/.332	.133	.287	14	10	34%	6%	63	-0.9	.207/.263/.362	.155	.281	19	10	33%	6%	68	-0.4
✕Chris Nelson 2007 · A	21	41→51	42→50	49→50	37	.204/.244/.308	.104	.272	9	9	28%	4%	48	-1.9	.223/.274/.359	.136	.280	13	12	24%	6%	75	-0.0	.257/.301/.387	.130	.311	13	7	21%	5%	87	+0.6
✕Ryan McKenna 2018 · A	21	43→53	42→50	52→55	39	.210/.265/.317	.107	.297	9	12	31%	6%	59	-1.1	.226/.289/.332	.106	.311	9	12	28%	7%	73	-0.1	.218/.295/.357	.140	.319	16	13	34%	9%	80	+0.2
●Alonzo Harris 2010 · A	21	41→50	45→55	50→60	37	.209/.251/.325	.116	.281	14	12	31%	5%	56	-1.3	.210/.248/.305	.095	.275	8	15	26%	4%	48	-1.9	.240/.296/.401	.161	.286	19	35	22%	7%	92	+0.9
✕Luis Torrens 2016 · A	20	42→49	38→55	49→30	44	.201/.271/.276	.075	.277	5	5	28%	7%	52	-1.6	.207/.270/.291	.084	.263	6	4	22%	7%	55	-1.4	.228/.285/.376	.148	.288	19	0	27%	7%	82	+0.3
✕Jorge Alcantara 2013 · A	21	43	41→45	50	43	.204/.273/.304	.100	.299	8	11	32%	8%	59	-1.1	.191/.262/.285	.094	.292	6	14	34%	8%	50	-1.7	.147/.226/.244	.097	.221	6	25	34%	8%	24	-0.9
✕Niko Goodrum 2013 · A	21	40→50	39→55	51→55	41	.191/.252/.280	.089	.282	5	8	33%	7%	44	-2.1	.212/.279/.299	.087	.310	5	16	30%	8%	61	-1.0	.231/.306/.406	.174	.310	18	16	30%	9%	97	+1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)