Darlyn Montero — OGILVIE

Darlyn MonteroSS Lansing Lugnuts

Age 24 L/R 6'2" / 218 lbs A+ HR -6%K -4% Svc 0.0 · Ctrl thru 2035

wRC+†37

AVG/OBP/SLG.183 / .240 / .269

PA109

HR2

K%37

BB%5

MLB%0%

Scouting · now → future

HIT

21→21

PWR

36→36

SPD

48→48

EYE

37→37

trajectory · 10 yrs

-0.2peak

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	—	—	—
2031	Arb-3	$0.9M	—	—	—
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		$-1M		$-24M	-$22M

Underwater contract
Projected production over the remaining contract is worth -$22M less than the salary owed. Most often this reflects an aging-curve fade that was visible at signing — the team paid a premium for the early years.

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
2019	17	ROK	DSL Athletics	217	197	28	4	2	0	14	84	1	8	3	.142	.203	.183	.386	.041	.237	39	6	.176	-7	-26	+0	+0	+2	+6	-1.8
2021	19	ROK	DSL Athletics	136	123	20	4	1	0	12	35	0	6	1	.163	.237	.211	.448	.049	.225	26	9	.208	17	-13	+1	+0	+1	+4	-0.7
2022	20	ROK	ACL Athletics	165	152	27	5	1	2	9	55	3	8	2	.178	.238	.263	.501	.086	.260	33	5	.219	26	-14	+1	+0	+2	+5	-0.7
2023	21	ROK	2 teams	252	233	43	6	4	2	12	95	4	9	0	.185	.237	.270	.507	.086	.295	38	5	.219	26	-21	+2	+0	+3	+7	-1.0
2024	22	A	Stockton Ports	401	371	80	12	1	5	17	138	10	9	0	.216	.269	.294	.563	.078	.326	34	4	.243	44	-25	+2	+0	+4	+11	-0.8
2025	23	A+	2 teams	150	138	21	3	0	2	5	66	5	5	0	.152	.209	.217	.427	.065	.264	44	3	.199	11	-15	+1	+0	+2	+4	-0.8
▸ 2026 Season
2026	24	MLB	OAK	109	100	18	3	0	2	6	40	2	2	0	.180	.241	.270	.511	.090	.283	37	6	.234	37	-8	+0	+0	+1	+3	-0.3
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 10%	OAK	188	172	34	6	1	3	11	66	3	3	0	.198	.258	.297	.555	.099	.285	35	6	.247	48	-11	+1	+0	+2	+5	-0.3
2028	26	MLB 25%	OAK	278	254	50	9	1	5	17	95	5	5	0	.197	.261	.299	.560	.102	.286	34	6	.255	54	-15	+1	+0	+3	+8	-0.3
2029	27	MLB 43%	OAK	327	298	60	10	1	7	20	110	6	5	0	.201	.265	.312	.578	.111	.287	34	6	.259	56	-16	+1	+0	+4	+9	-0.2
2030	28	MLB 52%	OAK	359	327	65	11	1	7	23	120	6	6	0	.199	.264	.303	.567	.104	.287	33	6	.259	57	-18	+1	-1	+4	+10	-0.3
2031	29	MLB 63%	OAK	371	338	66	11	1	7	24	125	6	5	0	.195	.261	.296	.557	.101	.286	34	6	.257	55	-19	+1	-1	+4	+11	-0.5
2032	30	MLB 73%	OAK	378	345	66	11	1	7	24	129	6	5	0	.191	.256	.290	.546	.099	.284	34	6	.254	53	-20	+1	-2	+4	+11	-0.7
2033	31	MLB 90%	OAK	371	338	65	11	1	7	24	128	6	4	0	.192	.258	.293	.551	.101	.283	35	6	.250	50	-21	+1	-3	+4	+11	-0.9
2034	32	MLB	OAK	357	325	61	10	1	6	23	125	6	3	0	.188	.254	.280	.534	.092	.281	35	6	.246	46	-22	+1	-4	+4	+10	-1.1
2035	33	MLB	OAK	330	301	55	9	1	5	21	118	5	2	0	.183	.248	.269	.517	.086	.279	36	6	.241	42	-22	+0	-4	+4	+9	-1.3
2036	34	MLB	OAK	288	263	48	8	1	4	18	105	5	2	0	.183	.248	.266	.514	.084	.278	36	6	.235	38	-20	+0	-5	+3	+8	-1.4
▸ Career Totals (MLE all levels + projections)
Career	—			4677	4275	807	133	19	71	280	1634	79	87	6	.189	.252	.279	.530	.090	.283	35	6	.241	42	-305	+15	-20	+50	+133	-13.0
/ 162G	—			650	594	112	18	3	10	39	227	11	12	1	.189	.252	.279	.531	.091	.283	35	6	.241	42	-42	+2	-3	+7	+18	-1.8

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
2019	17	ROK	DSL Athletics	217	188	40	6	3	0	23	58	1	8	3	.213	.302	.277	.578	.064	.296	27	11	.264	61	-10	+0	—	—	+6	-0.3
2021	19	ROK	DSL Athletics	136	115	25	5	2	0	20	24	0	6	1	.217	.333	.296	.629	.078	.272	18	15	.293	83	-3	+1	—	—	+4	0.2
2022	20	ROK	ACL Athletics	165	145	35	6	2	2	15	38	3	8	2	.241	.323	.352	.675	.110	.311	23	9	.305	92	-2	+1	—	—	+5	0.4
2023	21	A	Stockton Ports	56	52	8	2	1	0	4	19	0	0	0	.154	.214	.231	.445	.077	.242	34	7	.205	15	-5	+0	—	—	+2	-0.4
2023	21	ROK	ACL Athletics	196	174	48	7	5	3	15	49	4	9	0	.276	.347	.425	.772	.149	.360	25	8	.340	118	+4	+2	—	—	+6	1.2
2024	22	A	Stockton Ports	401	363	93	15	1	6	24	104	10	9	0	.256	.319	.353	.672	.096	.341	26	6	.304	90	-4	+2	—	—	+11	0.9
2025	23	A+	Lansing Lugnuts	128	114	22	4	0	2	8	43	5	4	0	.193	.276	.281	.556	.088	.286	34	6	.258	56	-6	+1	—	—	+4	-0.2
2025	23	ROK	ACL Athletics	22	21	8	1	0	1	0	6	0	1	0	.381	.381	.571	.952	.190	.467	27	0	.400	164	+2	+0	—	—	+1	0.2

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
Darlyn Montero (OGILVIE)	24	21	36	48	37	.183/.240/.269	.086	.283	2	2	37%	5%	37	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Gage Canning 2021 · A	24	40→36	39→40	50	34	.190/.239/.277	.088	.307	6	10	39%	5%	38	-2.6	.202/.251/.294	.092	.326	8	6	38%	5%	47	-1.9	.218/.269/.313	.095	.333	8	3	35%	5%	56	-0.7
✕Jackson Cluff 2021 · A	24	40→29	42→45	51→55	40	.197/.258/.305	.108	.275	10	12	31%	6%	54	-1.4	.182/.252/.277	.095	.281	8	12	36%	6%	45	-2.1	.181/.273/.314	.132	.266	14	28	35%	10%	61	-0.6
✕Seth Gray 2022 · A	24	37→38	42→45	49→50	39	.182/.260/.280	.098	.288	10	6	38%	7%	50	-1.8	.195/.271/.303	.108	.322	12	11	40%	8%	60	-1.0	.192/.271/.298	.106	.325	13	14	42%	8%	55	-0.9
✕Julian Escobedo 2022 · A	24	41→36	41→40	48→50	39	.200/.259/.301	.101	.299	8	13	34%	6%	53	-1.5	.193/.259/.296	.103	.270	9	14	30%	6%	53	-1.5	.180/.252/.283	.103	.242	9	16	28%	6%	44	-1.0
✕Andy Yerzy 2021 · A	23	35	38→50	49→40	36	.175/.228/.252	.077	.268	5	7	35%	5%	27	-3.3	.186/.270/.336	.150	.264	19	6	36%	9%	69	-0.4	.166/.253/.309	.143	.233	20	4	37%	9%	52	-0.8
✕Ross Adolph 2021 · A	24	41→33	40→45	45→50	41	.186/.274/.279	.093	.316	8	9	40%	8%	56	-1.3	.201/.295/.322	.121	.344	12	10	41%	9%	76	+0.0	.189/.299/.313	.125	.331	13	11	42%	10%	72	-0.1
✕Jose King 2022 · A	23	39	39→40	49→50	34	.187/.237/.270	.083	.310	6	11	40%	5%	35	-2.8	.201/.243/.303	.102	.314	9	8	37%	4%	46	-2.0	.193/.223/.303	.109	.281	10	4	34%	3%	37	-0.9
✕Mike Peabody 2023 · A	24	37	44→45	47→50	36	.186/.256/.298	.111	.288	12	12	38%	6%	53	-1.5	.195/.262/.305	.110	.289	12	12	35%	6%	56	-1.3	.178/.246/.285	.106	.257	12	12	34%	5%	41	-1.1
✕Ryan Aguilar 2019 · A	24	37→41	38→45	51→50	42	.180/.245/.263	.082	.274	6	6	34%	8%	37	-2.6	.186/.263/.281	.095	.309	10	9	39%	8%	50	-1.7	.182/.277/.297	.114	.301	14	12	40%	10%	58	-0.8
✕Joe Donovan 2023 · A	24	35	44→45	51→40	35	.177/.247/.290	.113	.289	12	7	41%	6%	46	-2.0	.195/.252/.305	.110	.307	10	5	38%	5%	52	-1.6	.196/.250/.311	.115	.294	10	0	35%	4%	49	-0.7
✕Mark Contreras 2019 · A	24	40→38	42→50	47→55	38	.195/.256/.302	.107	.293	9	11	35%	6%	53	-1.5	.185/.248/.308	.123	.276	12	13	36%	6%	51	-1.7	.199/.260/.339	.140	.286	17	24	35%	6%	61	-0.7
✕Ryan Gold 2022 · AA	24	40→37	42→45	47→40	39	.193/.259/.309	.115	.288	9	3	34%	7%	55	-1.4	.204/.277/.350	.146	.296	16	4	34%	8%	74	-0.1	.174/.256/.356	.182	.217	25	0	33%	8%	65	-0.2
✕Estee Harris 2008 · A	23	35→30	41→50	49→50	36	.178/.225/.274	.096	.274	9	13	38%	6%	31	-3.0	.215/.262/.336	.121	.370	12	12	42%	5%	63	-0.8	.212/.254/.349	.137	.373	14	14	45%	4%	59	-0.4
✕Drew Mendoza 2022 · AA	24	38→31	42→40	47→40	41	.186/.265/.281	.095	.297	10	7	38%	8%	52	-1.6	.180/.240/.268	.088	.295	9	6	39%	7%	37	-2.7	.152/.203/.224	.072	.246	8	2	40%	6%	7	-3.1
✕Rylan Sandoval 2012 · A	24	39	40	45	37	.190/.256/.282	.091	.284	8	5	34%	5%	47	-1.9	.206/.258/.300	.094	.302	8	6	33%	5%	52	-1.6	.213/.261/.298	.086	.310	7	6	32%	5%	48	-0.7
✕Kyle McCann 2022 · AA	24	35→33	44→50	48→40	36	.168/.245/.281	.113	.310	13	5	47%	8%	43	-2.2	.196/.270/.351	.155	.325	21	4	43%	8%	72	-0.2	.202/.277/.366	.164	.320	23	2	42%	8%	74	-0.0
✕Jared Carr 2023 · A	24	41→36	38→40	47→55	39	.192/.262/.265	.072	.298	6	14	35%	7%	45	-2.1	.195/.259/.276	.081	.299	6	17	34%	7%	46	-2.0	.183/.248/.263	.080	.277	6	24	34%	7%	36	-1.7
✕Tim Susnara 2021 · A	25	36	39→40	46→40	41	.178/.244/.257	.079	.273	7	5	36%	8%	36	-2.7	.197/.261/.302	.105	.337	11	6	41%	7%	54	-1.4	.162/.239/.276	.114	.269	14	0	42%	7%	37	-0.7
✕Neil Medchill 2011 · A	24	35→27	44→50	44→45	33	.177/.233/.284	.107	.299	12	7	43%	6%	38	-2.6	.194/.253/.324	.130	.320	16	7	42%	7%	56	-1.3	.195/.254/.327	.132	.316	17	5	42%	7%	55	-0.6
✕Jake Ring 2019 · A	24	41→42	43→45	49→50	40	.202/.258/.314	.112	.289	11	11	33%	6%	56	-1.3	.192/.254/.301	.109	.297	11	7	37%	7%	51	-1.7	.145/.210/.255	.110	.235	13	2	43%	6%	17	-1.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)