Hans Montero — OGILVIE

Hans Montero1B Tampa Tarpons

Age 22 R/R 5'9" / 160 lbs A HR +14% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION483 act + 10 ros · stats below = ROS only

showingROS

wRC+†67

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%40

BB%10

BABIP273

ISO116

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 35 / POW 40

Toolsscout grade

CONTACT35

scouting grade only

POWER40

scouting grade only

EYE40

scouting grade only

SPEED60

scouting grade only

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	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-4M	+$0.0M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2021	17	ROK	DSL Yankees 1	—	233	190	38	5	1	1	33	74	8	15	4	200	342	253	595	53	316	32	14	288	81	-5	+1	—	—	+5	0.1
2022	18	ROK	DSL NYY Bombers	—	142	111	20	2	2	1	24	39	5	16	5	180	350	261	611	81	260	27	17	295	86	-2	+1	—	—	+3	0.2
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	143	+12	+3	—	—	+5	2.0
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	84	-8	+1	—	—	+8	0.2
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	124	+10	+2	—	—	+7	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Yankees 1	—	233	202	26	3	1	1	21	107	8	15	4	129	238	168	406	40	240	46	9	184	11	-25	+1	—	—	+5	-1.9
2022	18	ROK MLE	DSL NYY Bombers	—	142	120	13	1	1	0	15	57	5	16	5	108	236	133	369	25	195	40	11	192	16	-14	+1	—	—	+3	-1.0
2023	19	ROK MLE	FCL Yankees	—	234	200	35	4	2	3	27	73	7	17	1	175	295	260	555	85	253	31	12	252	57	-12	+3	—	—	+5	-0.4
2024	20	A MLE	Tampa Tarpons	—	391	352	53	7	4	6	31	167	5	13	4	151	229	244	474	94	253	43	8	213	30	-32	+1	—	—	+8	-2.3
2025	21	A MLE	Tampa Tarpons	—	334	298	52	9	1	8	28	159	5	25	8	174	257	292	549	117	329	48	8	250	55	-18	+2	—	—	+7	-0.9
2021	17	ROK MLE	DSL Yankees 1	—	233	202	26	3	1	1	21	107	8	15	4	129	238	168	406	40	260	46	9	184	11	—	—	—	—	—	—
2021	17	ROK RAW	DSL Yankees 1	—	233	190	38	5	1	1	33	74	8	15	4	200	342	253	595	53	316	32	14	288	11	—	—	—	—	—	—
2022	18	ROK MLE	DSL NYY Bombers	—	142	120	13	1	1	0	15	57	5	16	5	108	236	133	369	25	200	40	11	192	16	—	—	—	—	—	—
2022	18	ROK RAW	DSL NYY Bombers	—	142	111	20	2	2	1	24	39	5	16	5	180	350	261	611	81	260	27	17	295	16	—	—	—	—	—	—
2023	19	ROK MLE	FCL Yankees	—	234	200	35	4	2	3	27	73	7	17	1	175	295	260	555	85	258	31	12	252	57	—	—	—	—	—	—
2023	19	ROK RAW	FCL Yankees	—	234	183	47	6	3	5	44	48	7	17	1	257	419	404	823	148	323	21	19	379	57	—	—	—	—	—	—
2024	20	A MLE	Tampa Tarpons	—	391	352	53	7	4	6	31	167	5	13	4	151	229	244	474	94	260	43	8	213	30	—	—	—	—	—	—
2024	20	A RAW	Tampa Tarpons	—	391	339	70	9	5	8	44	113	5	13	4	206	307	333	640	127	282	29	11	292	30	—	—	—	—	—	—
2025	21	A MLE	Tampa Tarpons	—	334	298	52	9	1	8	28	159	5	25	8	174	257	292	549	117	331	48	8	250	55	—	—	—	—	—	—
2025	21	A RAW	Tampa Tarpons	—	334	290	78	13	2	10	36	112	5	25	8	269	360	431	791	162	400	34	11	352	55	—	—	—	—	—	—
2021	17	ROK MLE	DSL Yankees 1	—	233	202	26	3	1	1	21	107	8	15	4	129	238	168	406	40	240	46	9	184	11	—	—	—	—	—	—
2022	18	ROK MLE	DSL NYY Bombers	—	142	121	13	1	1	0	15	57	5	16	5	107	236	132	368	25	195	40	11	192	16	—	—	—	—	—	—
2023	19	ROK MLE	FCL Yankees	—	234	198	35	4	2	3	27	73	7	17	1	177	295	263	557	86	253	31	12	252	57	—	—	—	—	—	—
2024	20	A MLE	Tampa Tarpons	—	391	352	53	7	4	6	31	167	5	13	4	151	229	244	474	94	253	43	8	213	30	—	—	—	—	—	—
2025	21	A MLE	Tampa Tarpons	—	334	298	52	9	1	8	28	159	5	25	8	174	257	292	549	117	329	48	8	250	55	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	FCL Yankees	—	234	198	35	4	2	3	27	73	7	17	1	177	295	263	557	86	253	31	12	252	57	—	—	—	—	—	—
2024	20	A MLE	Tampa Tarpons	—	391	352	53	7	4	6	31	167	5	13	4	151	229	244	474	94	253	43	8	213	30	—	—	—	—	—	—
2025	21	A MLE	Tampa Tarpons	—	334	298	52	9	1	8	28	159	5	25	8	174	257	292	549	117	329	48	8	250	55	—	—	—	—	—	—
YTD	22	A MLE	NYY	—	483	417	78	16	4	10	54	166	9	42	8	187	294	317	610	129	279	34	11	278	74	-15	+5	+0	-9	+10	-0.8
▸ 2026 season
YTD	22	A RAW	NYY	—	417	346	81	18	6	12	60	99	8	35	7	234	360	425	785	191	290	24	14	351	74	—	—	—	—	—	—
YTD	22	A+ RAW	NYY	—	66	52	14	1	0	1	13	19	1	7	1	269	424	346	770	77	406	29	20	364	74	—	—	—	—	—	—
ROS	22	A MLE	NYY	0%	10	9	1	0	0	0	1	4	0	1	0	111	200	111	311		271	40	10	268	67	-0	+0	+0	-0	+0	-0.0
TOT	22	A MLE	NYY	—	493	426	79	16	4	10	55	170	9	43	8	185	292	312	604	127	277	34	11	277	74	-15	+5	+0	-9	+11	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	NYY	34%	432	378	72	14	3	10	44	148	7	18	4	190	287	323	609	132	276	34	10	277	74	-13	+2	+0	-8	+9	-1.0
2028	24	MLB MLE	NYY	46%	477	418	83	16	4	12	49	158	7	20	4	199	293	342	635	144	278	33	10	285	79	-12	+2	+0	-9	+10	-0.8
2029	25	MLB MLE	NYY	52%	497	435	88	17	4	13	51	161	8	21	4	202	298	349	647	147	279	32	10	289	82	-11	+3	+0	-9	+11	-0.6
2030	26	MLB MLE	NYY	54%	508	443	89	17	4	13	52	163	8	21	5	201	296	345	642	144	280	32	10	291	83	-10	+2	+0	-9	+11	-0.6
2031	27	MLB MLE	NYY	54%	509	443	89	17	4	13	53	164	8	21	5	201	298	345	643	144	279	32	10	291	83	-10	+2	+0	-9	+11	-0.6
2032	28	MLB MLE	NYY	54%	505	439	88	17	4	13	53	163	8	20	4	200	298	346	644	146	279	32	10	290	83	-11	+2	-1	-9	+11	-0.7
2033	29	MLB MLE	NYY	53%	495	433	85	16	3	13	52	161	7	18	4	196	293	337	630	141	278	33	11	288	81	-11	+2	-1	-9	+11	-0.9
2034	30	MLB MLE	NYY	57%	485	424	83	16	3	12	51	159	7	16	3	196	293	333	625	137	276	33	11	285	79	-12	+2	-2	-9	+11	-1.0
2027	23	MLB CTX	NYY	34%	148	130	25	5	1	4	15	51	2	6	1	192	286	338	624	146	278	34	10	270	74	-5	+1	+0	-3	+3	-0.3
2028	24	MLB CTX	NYY	46%	220	193	38	7	2	6	22	73	3	9	2	197	289	347	636	150	280	33	10	278	79	-6	+1	+0	-4	+5	-0.4
2029	25	MLB CTX	NYY	52%	257	225	46	9	2	7	26	83	4	11	2	204	298	356	654	151	281	32	10	282	82	-6	+1	+0	-5	+6	-0.3
2030	26	MLB CTX	NYY	54%	275	241	49	9	2	8	28	88	4	12	2	203	297	357	654	154	282	32	10	284	83	-6	+2	+0	-5	+6	-0.3
2031	27	MLB CTX	NYY	54%	276	241	49	9	2	8	29	89	4	12	2	203	299	357	656	154	281	32	11	284	83	-6	+2	+0	-5	+6	-0.3
2032	28	MLB CTX	NYY	54%	274	239	49	9	2	8	29	89	4	11	2	205	301	360	661	155	281	32	11	283	83	-6	+1	-0	-5	+6	-0.4
2033	29	MLB CTX	NYY	53%	263	229	46	9	2	7	28	86	4	10	2	201	299	349	648	148	280	33	11	282	81	-6	+1	-1	-5	+6	-0.5
2034	30	MLB CTX	NYY	57%	276	241	47	9	2	7	29	90	4	9	2	195	292	336	628	141	278	33	11	279	79	-7	+1	-1	-5	+6	-0.6
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1989	1739	349	66	15	55	206	649	29	80	15	201	296	351	647	150	282	33	10	281	69	-45	+10	-2	-36	+43	-3.0
/ 162G	—	A+C		—	650	568	115	22	5	18	67	212	9	26	5	202	296	354	650	151	284	33	10	281	69	-15	+3	-1	-12	+14	-1.0
Career	—	MLE		—	5252	4594	857	154	38	117	528	1844	90	242	55	187	283	313	596	126	278	35	10	271	69	-90	+18	-4	-70	+85	-6.3
/ 162G	—	MLE		—	650	569	106	19	5	14	65	228	11	30	7	186	282	311	593	125	279	35	10	271	69	-15	+3	-1	-12	+14	-1.0

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#5Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	3.5	2,309	58	90	195	287	334	+1	+5	2.2	2.4
/162	664	17	26	+0.4	+1.4	0.6	pk7: 3
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	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
Hans Montero (OGILVIE)	22	35	40	60	40	179/277/301	122	271	7	20	36%	10%	67	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕Ryan Bliss 2023 · A	23	35→45	44→45	52→60	39	184/241/293	109	256	12	21	32%	6%	50	-2.3	221/288/352	131	295	12	39	28%	8%	81	-0.1	221/289/349	127	292	11	41	26%	7%	78	-0.2
✕Jase Bowen 2023 · A	22	39→40	44→50	55	35	194/253/305	111	300	12	14	38%	6%	57	-1.8	201/254/323	122	287	13	19	34%	5%	61	-1.5	203/254/335	133	288	14	24	34%	5%	62	-0.9
✕Samad Taylor 2021 · A	23	37→47	41→45	53→65	43	182/258/286	104	274	8	22	34%	8%	55	-1.9	228/299/361	133	324	14	34	32%	8%	87	+0.4	235/311/365	130	323	13	46	29%	9%	92	+0.4
✕Corey Joyce 2022 · AA	23	40	39→40	54→50	39	192/262/271	79	299	7	14	36%	7%	53	-2.1	205/306/320	115	292	11	13	31%	10%	82	-0.0	213/316/315	101	301	9	14	29%	10%	81	-0.0
✕Miguel Hiraldo 2023 · A	22	39→45	42→45	56→55	36	192/241/297	105	294	10	21	37%	6%	51	-2.3	209/255/309	100	326	9	20	37%	5%	59	-1.7	212/259/309	96	332	9	22	37%	5%	57	-0.9
✕Cooper Bowman 2023 · A	23	38→43	43→45	59→60	43	188/270/295	107	285	11	31	36%	8%	62	-1.4	205/277/320	115	284	11	35	30%	8%	70	-0.9	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Sean Coyle 2014 · A	22	36	49→50	54→50	37	192/251/336	144	277	17	14	36%	6%	64	-1.3	200/259/334	134	299	16	13	36%	7%	67	-1.1	181/245/299	117	275	13	12	37%	7%	50	-1.3
✕Christian Cairo 2023 · A	22	39→46	39→40	53→60	49	181/288/262	81	287	6	16	35%	11%	63	-1.4	203/293/281	78	295	5	23	30%	10%	68	-1.0	205/292/276	72	294	4	31	28%	9%	64	-0.8
✕Blaze Alexander 2022 · A	23	37→47	42→45	52→50	38	179/250/280	101	296	10	14	40%	8%	51	-2.3	221/293/352	131	332	14	10	35%	7%	84	+0.1	239/319/362	123	339	12	15	30%	8%	93	+0.6
✕Ronaldo Urdaneta 2022 · A	23	43	41→40	58→60	40	200/268/296	96	321	9	25	38%	8%	61	-1.5	190/273/273	83	305	6	19	36%	9%	58	-1.7	99/228/124	25	174	0	28	37%	12%	10	-1.1
✕Daz Cameron 2018 · A	21	40→45	45→50	53→55	40	202/262/329	127	284	11	19	32%	6%	66	-1.1	201/268/318	117	295	9	17	33%	7%	66	-1.1	225/296/393	168	284	19	27	27%	8%	91	+0.3
✕Braulio Vasquez 2022 · A	23	41	40	55→65	40	192/273/283	91	301	8	31	36%	8%	61	-1.5	219/285/318	99	305	7	26	28%	7%	72	-0.7	228/293/324	96	308	4	32	25%	7%	73	-0.3
✕Jamari Baylor 2023 · A	22	39	42→45	50→55	42	168/279/271	104	330	9	19	46%	10%	62	-1.4	189/286/298	109	339	11	16	43%	10%	70	-0.9	181/286/299	118	297	14	20	39%	10%	68	-0.4
✕Johan Lopez 2022 · A	22	43	44→45	56→55	44	209/290/327	118	301	11	16	32%	8%	76	-0.4	195/268/294	99	299	9	12	35%	8%	61	-1.5	172/246/253	81	260	7	12	34%	7%	41	-1.1
✕Chris Roller 2019 · A	22	39	41→45	51→55	42	192/267/295	103	286	9	14	34%	8%	61	-1.5	205/269/313	108	292	7	12	30%	6%	65	-1.2	178/265/281	103	258	10	19	32%	8%	56	-1.0
✕Junior Perez 2023 · A	22	40→39	45→50	54→55	41	188/268/310	122	322	13	19	42%	9%	65	-1.2	179/249/297	118	302	12	25	41%	8%	54	-2.0	167/239/308	141	259	16	25	40%	8%	52	-1.7
✕Justin Trapp 2013 · A	22	43→45	42→45	54→55	40	211/268/319	108	294	9	17	30%	6%	65	-1.2	217/269/309	92	295	8	15	28%	6%	63	-1.3	214/266/294	80	289	7	16	27%	5%	56	-1.5
✕Travis Witherspoon 2011 · A	22	42→47	43→45	58→55	34	209/249/316	107	305	11	13	35%	4%	57	-1.8	213/264/325	112	292	11	23	30%	6%	65	-1.2	209/269/335	126	275	14	25	28%	7%	67	-0.9
✕Monte Harrison 2018 · A	22	41→44	45→50	53→60	34	200/259/321	122	317	13	15	39%	5%	63	-1.3	210/266/334	124	348	14	24	41%	6%	69	-0.9	192/260/311	120	338	15	41	45%	7%	59	-0.8

Career Stats + Projections

Career Comps

Career Path Comps