Hans Montero — OGILVIE

Hans Montero2B Tampa Tarpons

Age 22 R/R 5'9" / 160 lbs A HR +8%BB +8% Svc 0.0 · Ctrl thru 2036 peak 0.4 · 2030

wRC+†51

AVG/OBP/SLG.168 / .251 / .273

PA320

HR6

SB13

K%42

BB%8

MLB%0%

Scouting · now → future

HIT

35→35

PWR

40→40

SPD

60→60

EYE

50↘40

trajectory · 10 yrs

0.4peak

2030

Contract

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Arb-3	$0.9M	+0.4	$2M	+$1.0M
2032	Ext / FA-deal	$0.9M	+0.3	$1M	+$0.5M
2033	Ext / FA-deal	$1.0M	+0.1	$0.5M	-$0.5M
2034	Ext / FA-deal	$0.2M	—	—	—
2035	Ext / FA-deal	$0.4M	—	—	—
2036	Ext / FA-deal	$0.6M	—	—	—
Totals		$4M		$-2M	-$6M

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
2021	17	ROK	DSL Yankees 1	233	202	23	3	0	0	21	107	8	15	4	.114	.225	.129	.354	.015	.237	46	9	.183	-2	-27	+1	+0	+1	+7	-1.8
2022	18	ROK	DSL NYY Bombers	142	120	13	1	1	0	15	57	5	16	5	.108	.236	.133	.369	.025	.200	40	11	.186	1	-16	+1	+0	+1	+4	-1.0
2023	19	ROK	FCL Yankees	234	199	33	3	3	2	28	75	7	17	1	.166	.291	.241	.532	.075	.254	32	12	.247	47	-14	+3	+0	+1	+7	-0.4
2024	20	A	Tampa Tarpons	391	352	53	7	4	6	31	168	5	13	4	.151	.229	.244	.474	.094	.261	43	8	.212	20	-35	+1	+0	+1	+11	-2.2
2025	21	A	Tampa Tarpons	334	298	53	9	1	8	28	159	5	25	8	.178	.260	.295	.555	.117	.338	48	8	.250	50	-19	+2	+0	+1	+9	-0.7
▸ 2026 Season (actual · ROS · total)
2026	22	A	Tampa Tarpons	59	51	11	2	1	0	7	23	1	4	0	.216	.322	.294	.616	.078	.393	39	12	.263	59	-3	+1	+0	+0	+2	-0.0
ROS	22	MLB	NYY	261	232	41	7	2	4	23	109	4	9	2	.177	.263	.276	.538	.099	.300	42	9	.249	49	-15	+1	+0	+1	+7	-0.6
TOT	22	MLB	NYY	320	283	52	9	3	4	30	132	5	13	2	.184	.274	.279	.553	.095	.324	41	9	.252	51	-18	+2	+0	+1	+9	-0.6
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	NYY	369	326	62	10	3	7	35	133	5	12	2	.190	.279	.304	.582	.113	.288	36	9	.267	62	-16	+2	+0	+1	+10	-0.2
2028	24	MLB 26%	NYY	433	382	75	12	3	10	42	150	6	14	2	.196	.286	.322	.608	.126	.289	35	10	.275	69	-15	+2	+0	+2	+12	0.1
2029	25	MLB 43%	NYY	469	413	83	14	3	11	46	159	7	14	3	.201	.292	.329	.621	.128	.290	34	10	.281	73	-14	+2	+0	+2	+13	0.2
2030	26	MLB 58%	NYY	489	431	86	14	3	12	48	164	7	14	2	.200	.290	.329	.620	.130	.291	34	10	.284	75	-14	+2	+0	+2	+14	0.4
2031	27	MLB 76%	NYY	497	437	87	14	3	12	50	168	7	14	2	.199	.291	.327	.619	.128	.291	34	10	.284	75	-14	+2	+0	+2	+14	0.4
2032	28	MLB 84%	NYY	497	437	87	14	3	12	50	169	7	13	2	.199	.291	.327	.619	.128	.290	34	10	.283	74	-14	+2	-1	+2	+14	0.3
2033	29	MLB	NYY	491	431	85	14	3	11	50	168	7	12	2	.197	.291	.320	.611	.123	.289	34	10	.280	73	-15	+2	-1	+2	+14	0.1
2034	30	MLB	NYY	482	423	82	13	3	11	49	166	7	11	1	.194	.288	.317	.605	.123	.288	34	10	.277	70	-16	+2	-2	+2	+14	-0.1
2035	31	MLB	NYY	469	412	79	13	3	10	48	164	6	9	0	.192	.285	.311	.596	.119	.286	35	10	.274	68	-17	+2	-3	+2	+13	-0.3
2036	32	MLB	NYY	452	397	75	12	3	9	46	160	6	7	0	.189	.283	.302	.585	.113	.284	35	10	.269	64	-18	+1	-4	+2	+13	-0.6
2037	33	MLB	NYY	423	371	68	11	2	8	43	153	6	6	0	.183	.279	.288	.567	.105	.283	36	10	.264	60	-19	+1	-4	+2	+12	-0.9
2038	34	MLB	NYY	377	331	59	9	2	7	38	139	5	5	0	.178	.273	.281	.554	.103	.281	37	10	.257	55	-19	+1	-5	+1	+11	-1.1
▸ Career Totals (MLE all levels + projections)
Career	—			7043	6194	1144	180	45	140	691	2568	110	226	40	.185	.278	.296	.574	.111	.285	36	10	.264	60	-318	+29	-20	+25	+200	-8.6
/ 162G	—			650	572	106	17	4	13	64	237	10	21	4	.185	.279	.297	.576	.112	.286	36	10	.264	60	-29	+3	-2	+2	+18	-0.8

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
2021	17	ROK	DSL Yankees 1	233	190	38	5	1	1	33	74	8	15	4	.200	.342	.253	.595	.053	.316	32	14	.288	78	-6	+1	—	—	+7	0.2
2022	18	ROK	DSL NYY Bombers	142	111	20	2	2	1	24	39	5	16	5	.180	.350	.261	.611	.081	.260	27	17	.295	84	-3	+1	—	—	+4	0.3
2023	19	ROK	FCL Yankees	234	183	47	6	3	5	44	48	7	17	1	.257	.419	.404	.823	.148	.323	21	19	.379	148	+13	+3	—	—	+7	2.3
2024	20	A	Tampa Tarpons	391	339	70	9	5	8	44	113	5	13	4	.206	.307	.333	.640	.127	.282	29	11	.292	81	-8	+1	—	—	+11	0.4
2025	21	A	Tampa Tarpons	334	290	78	13	2	10	36	112	5	25	8	.269	.360	.431	.791	.162	.400	34	11	.352	127	+10	+2	—	—	+9	2.2

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
Hans Montero (OGILVIE)	22	35	40	60	40	.168/.251/.273	.105	.286	6	9	42%	8%	44	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jamari Baylor 2023 · A	22	40	42→45	50→55	41	.172/.280/.276	.105	.337	10	18	46%	10%	58	-1.2	.187/.287/.297	.110	.339	11	16	43%	10%	66	-0.6	.170/.275/.273	.103	.306	12	18	43%	10%	53	-0.5
✕Jase Bowen 2023 · A	22	39→40	44→45	54→55	35	.194/.253/.305	.111	.299	13	14	38%	6%	52	-1.6	.200/.252/.326	.126	.285	15	18	34%	5%	57	-1.2	.198/.249/.325	.127	.276	15	22	33%	5%	52	-1.2
✕Tucker Mitchell 2023 · A	22	38	43→50	51→45	35	.183/.259/.287	.104	.311	11	11	42%	6%	51	-1.7	.198/.263/.310	.112	.287	13	7	34%	6%	58	-1.2	.185/.242/.280	.095	.261	13	5	33%	5%	38	-1.0
✕Junior Perez 2023 · A	22	40→38	45	54→55	41	.188/.267/.310	.122	.325	13	19	43%	9%	59	-1.1	.181/.252/.301	.120	.305	12	25	41%	8%	50	-1.7	.165/.239/.293	.128	.265	14	28	41%	8%	41	-1.9
✕Jordyn Adams 2022 · A	22	39→41	40→45	51→60	37	.187/.247/.273	.085	.307	8	15	40%	7%	40	-2.4	.194/.252/.287	.093	.306	8	28	37%	6%	46	-2.0	.194/.256/.310	.116	.294	12	32	36%	7%	52	-1.3
✕Ismael Alcantara 2021 · A	22	42→30	38→45	56→50	41	.197/.266/.279	.082	.311	5	16	36%	8%	50	-1.7	.214/.271/.343	.129	.318	13	13	35%	6%	69	-0.4	.203/.261/.318	.115	.298	12	16	35%	6%	54	-0.8
✕Miguel Hiraldo 2023 · A	22	40→47	42→45	56→55	37	.197/.248/.304	.107	.299	10	21	36%	6%	49	-1.8	.209/.256/.315	.106	.331	10	20	38%	5%	55	-1.4	.212/.260/.311	.099	.339	10	22	38%	5%	52	-0.8
✕Ronaldo Urdaneta 2022 · A	23	43	41→40	57→60	40	.203/.269/.298	.096	.321	9	24	38%	7%	56	-1.3	.188/.271/.269	.081	.305	6	20	37%	9%	51	-1.7	.098/.228/.122	.024	.176	0	28	38%	12%	-2	-1.2
✕Monte Harrison 2018 · A	22	41→43	45→50	52→60	35	.200/.260/.318	.118	.311	12	15	38%	6%	58	-1.2	.207/.263/.336	.129	.348	15	22	42%	5%	64	-0.8	.194/.262/.320	.126	.338	17	41	45%	7%	56	-0.6
✕Corey Joyce 2022 · AA	23	41	39→45	53→50	39	.193/.262/.274	.080	.300	7	13	36%	7%	48	-1.9	.208/.307/.328	.120	.294	12	12	31%	10%	82	+0.5	.212/.315/.318	.105	.301	9	14	29%	10%	80	+0.2
✕Sean Coyle 2014 · A	22	36	48→50	54→50	37	.191/.251/.335	.144	.272	16	14	35%	6%	59	-1.1	.202/.261/.344	.142	.302	17	13	37%	7%	66	-0.6	.180/.244/.304	.124	.276	15	12	39%	7%	45	-1.1
✕Blaze Alexander 2022 · A	23	38→48	42→50	52→50	39	.185/.256/.288	.103	.292	11	14	38%	7%	49	-1.8	.218/.290/.354	.136	.331	15	11	36%	7%	81	+0.4	.220/.308/.345	.126	.328	13	10	34%	8%	84	+0.4
✕Braulio Vasquez 2022 · A	23	40	40	54→65	40	.192/.269/.282	.090	.299	8	28	36%	7%	53	-1.5	.216/.284/.315	.099	.302	7	27	29%	7%	67	-0.5	.225/.290/.320	.095	.304	4	32	25%	7%	66	-0.3
✕Travis Witherspoon 2011 · A	22	42→47	43→45	57→55	34	.208/.248/.314	.106	.304	11	13	35%	4%	51	-1.7	.212/.263/.323	.111	.291	12	22	30%	6%	59	-1.1	.206/.266/.332	.126	.273	14	25	29%	7%	60	-0.8
✕Christian Cairo 2023 · A	22	40→47	39→40	53→60	49	.186/.290/.271	.084	.288	7	16	34%	11%	60	-1.0	.204/.296/.285	.081	.295	5	22	29%	10%	66	-0.6	.215/.301/.289	.073	.310	4	35	29%	9%	66	-0.3
✕Kadon Morton 2023 · A	22	39→35	42→45	51→55	37	.179/.254/.283	.104	.332	10	12	46%	8%	47	-1.9	.170/.234/.260	.090	.333	9	15	48%	7%	33	-2.9	.112/.173/.171	.059	.236	6	22	52%	6%	-19	-3.1
✕Chris Roller 2019 · A	22	40	41→45	51→55	43	.194/.269/.295	.102	.283	8	13	32%	8%	56	-1.3	.206/.272/.316	.110	.289	8	12	30%	7%	63	-0.9	.179/.267/.290	.111	.261	11	19	33%	9%	54	-0.8
✕Michael Crouse 2013 · A	22	38→40	46→50	53→55	38	.188/.255/.315	.128	.298	13	19	40%	7%	56	-1.3	.198/.263/.316	.118	.310	11	18	37%	7%	59	-1.1	.197/.265/.330	.133	.301	13	19	37%	8%	60	-0.5
✕Bubba Starling 2015 · A	22	39→46	43→45	54→50	37	.193/.251/.299	.106	.287	11	12	35%	6%	50	-1.8	.192/.240/.305	.113	.286	11	10	35%	5%	46	-2.0	.216/.256/.333	.117	.281	14	10	28%	5%	56	-0.6
✕Narciso Crook 2017 · A	22	38→43	42→55	52→50	34	.194/.230/.300	.106	.280	10	11	34%	4%	40	-2.4	.207/.256/.324	.117	.303	11	10	34%	5%	57	-1.2	.199/.278/.357	.158	.302	19	15	38%	7%	73	-0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)