Darlin Moquete — OGILVIE

Darlin MoqueteOF Springfield Cardinals

Age 26 R/R 5'9" / 175 lbs AA HR -7%K -4% Svc 0.0 · Ctrl thru 2034

wRC+†63

AVG/OBP/SLG.206 / .262 / .329

PA231

HR6

SB7

K%29

BB%6

MLB%2%

Scouting · now → future

HIT

45→45

PWR

40→40

SPD

60→60

EYE

41↘35

trajectory · 10 yrs

-0.3peak

2027

Contract

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Arb-1	$0.8M	—	—	—
2030	Arb-2	$0.9M	—	—	—
2031	Arb-3	$0.9M	—	—	—
2032	Ext / FA-deal	$0.2M	—	—	—
2033	Ext / FA-deal	$0.4M	—	—	—
2034	Ext / FA-deal	$0.6M	—	—	—
Totals		$-8M		$-26M	-$19M

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	18	ROK	DSL Cardinals Blue	229	211	46	6	2	1	12	55	3	21	5	.218	.270	.280	.550	.062	.288	24	5	.237	40	-16	+2	+0	-1	+6	-0.8
2019	19	ROK	DSL Cardinals Blue	181	161	48	4	3	4	10	23	6	23	4	.298	.362	.435	.796	.137	.319	13	6	.340	118	+4	+3	+0	-1	+5	1.1
2021	21	ROK	FCL Cardinals	84	77	19	3	0	0	5	29	2	1	1	.247	.310	.286	.595	.039	.396	35	6	.263	59	-4	-0	+0	-1	+2	-0.2
2022	22	A	Palm Beach Cardinals	245	225	43	5	0	8	13	84	3	5	5	.191	.245	.320	.565	.129	.255	34	5	.246	46	-15	-1	+0	-1	+7	-1.1
2023	23	A+	2 teams	317	285	53	8	2	7	19	80	5	8	4	.186	.249	.302	.551	.116	.229	25	6	.241	42	-21	+0	+0	-2	+9	-1.4
2024	24	A+	Peoria Chiefs	311	286	56	7	2	10	19	97	2	19	4	.196	.251	.339	.590	.143	.254	31	6	.253	52	-17	+2	+0	-2	+9	-0.8
2025	25	AA	2 teams	368	342	74	10	2	6	19	110	5	23	8	.216	.268	.310	.578	.094	.300	30	5	.256	54	-19	+1	+0	-2	+10	-1.0
▸ 2026 Season
2026	26	MLB	STL	231	212	45	7	1	6	14	68	3	7	2	.212	.271	.340	.610	.127	.273	29	6	.267	63	-10	+1	+0	-1	+7	-0.4
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB 11%	STL	251	230	48	8	1	6	16	72	3	8	2	.209	.269	.330	.600	.122	.275	29	6	.273	67	-9	+1	+0	-2	+7	-0.3
2028	28	MLB 22%	STL	304	278	59	9	2	8	20	86	3	9	3	.212	.272	.345	.618	.133	.276	28	7	.276	69	-11	+1	-1	-2	+9	-0.4
2029	29	MLB 34%	STL	332	303	64	10	2	8	22	94	4	9	3	.211	.274	.337	.610	.125	.276	28	7	.276	69	-12	+1	-1	-2	+9	-0.5
2030	30	MLB 44%	STL	350	319	68	11	2	9	24	100	4	9	3	.213	.277	.345	.621	.132	.275	29	7	.274	68	-13	+1	-2	-2	+10	-0.7
2031	31	MLB 53%	STL	348	317	67	11	2	8	24	101	4	7	2	.211	.275	.334	.610	.123	.274	29	7	.270	65	-14	+1	-3	-2	+10	-0.8
2032	32	MLB 64%	STL	337	308	64	10	2	8	23	100	3	6	1	.208	.269	.331	.601	.123	.272	30	7	.266	61	-15	+1	-4	-2	+10	-1.0
2033	33	MLB 74%	STL	312	285	57	9	1	7	21	94	3	4	1	.200	.262	.312	.574	.112	.271	30	7	.260	57	-15	+0	-4	-2	+9	-1.2
2034	34	MLB 81%	STL	272	249	50	8	1	6	18	85	3	3	1	.201	.263	.313	.576	.112	.269	31	7	.254	53	-15	+0	-5	-2	+8	-1.3
▸ Career Totals (MLE all levels + projections)
Career	—			4472	4088	861	126	25	102	279	1278	56	162	49	.211	.270	.329	.599	.118	.277	29	6	.264	61	-199	+13	-20	-27	+127	-10.8
/ 162G	—			650	594	125	18	4	15	41	186	8	24	7	.210	.271	.330	.601	.120	.277	29	6	.264	61	-29	+2	-3	-4	+18	-1.6

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	18	ROK	DSL Cardinals Blue	229	204	56	8	3	1	19	38	3	21	5	.275	.345	.358	.703	.083	.331	17	8	.316	100	+0	+2	—	—	+6	0.9
2019	19	ROK	DSL Cardinals Blue	181	154	60	5	4	5	17	16	6	23	4	.390	.469	.571	1.040	.182	.401	9	9	.449	201	+21	+3	—	—	+5	2.9
2021	21	ROK	FCL Cardinals	84	73	24	4	0	0	9	20	2	1	1	.329	.417	.384	.800	.055	.453	24	11	.369	140	+4	-0	—	—	+2	0.6
2022	22	A	Palm Beach Cardinals	245	220	49	7	0	8	18	56	3	5	5	.223	.290	.364	.654	.141	.256	23	7	.290	80	-5	-1	—	—	+7	0.1
2023	23	A+	Peoria Chiefs	223	195	40	6	1	8	17	47	4	5	2	.205	.282	.369	.652	.164	.225	21	8	.284	76	-6	+0	—	—	+6	0.0
2023	23	A	Palm Beach Cardinals	94	81	20	3	1	2	11	12	1	3	2	.247	.344	.383	.727	.136	.265	13	12	.327	108	+1	-0	—	—	+3	0.3
2024	24	A+	Peoria Chiefs	311	279	68	9	3	13	25	77	2	19	4	.244	.309	.437	.747	.194	.288	25	8	.326	107	+3	+2	—	—	+9	1.4
2025	25	AA	Springfield Cardinals	290	261	64	9	1	6	22	66	5	18	7	.245	.316	.356	.672	.111	.305	23	8	.304	91	-3	+1	—	—	+8	0.6
2025	25	INTL	Senadores de San Juan	78	67	18	2	0	0	11	10	0	5	1	.269	.372	.299	.670	.030	.316	13	14	.317	101	+0	+1	—	—	+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
Darlin Moquete (OGILVIE)	26	45	40	60	35	.206/.262/.329	.123	.273	6	7	29%	6%	63	-0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Adam Engel 2018 · MLB	26	39→48	43→50	58→60	40	.195/.257/.310	.114	.277	9	26	32%	6%	54	-1.4	.220/.274/.346	.126	.300	11	17	29%	5%	71	-0.3	.227/.287/.366	.138	.305	13	23	28%	5%	79	+0.1
✕Cory Vaughn 2015 · AAA	26	38→40	45	54→50	42	.196/.270/.318	.122	.273	13	15	32%	7%	63	-0.8	.193/.258/.302	.109	.284	11	12	34%	7%	53	-1.5	.153/.220/.254	.100	.233	9	9	36%	7%	22	-1.3
✕Abiatal Avelino 2021 · AAA	26	47→51	45	55	39	.236/.265/.358	.122	.289	13	19	23%	4%	69	-0.4	.229/.279/.340	.111	.278	11	17	21%	6%	71	-0.3	.225/.281/.329	.104	.271	10	18	20%	6%	66	-0.3
✕Travis Witherspoon 2015 · AA	26	41→47	46→45	53→55	43	.209/.268/.337	.128	.278	14	23	30%	7%	66	-0.6	.197/.249/.299	.102	.272	11	18	30%	6%	48	-1.9	.163/.206/.224	.061	.223	7	19	30%	5%	7	-2.2
✕Kristopher Negrón 2012 · AAA	26	44→50	42→45	55	41	.216/.271/.320	.104	.278	10	19	26%	5%	63	-0.8	.206/.257/.312	.106	.278	10	18	28%	5%	55	-1.4	.225/.289/.349	.123	.323	14	14	32%	7%	74	-0.0
✕Jim Haley 2021 · AA	26	47→43	46→50	54→55	38	.235/.275/.364	.129	.302	15	17	27%	4%	76	+0.1	.198/.251/.343	.145	.286	18	19	36%	5%	62	-0.9	.202/.259/.333	.130	.275	15	22	31%	5%	58	-0.8
✕Bradlee Beesley 2023 · AA	25	40	45→50	54→60	37	.202/.257/.328	.126	.297	13	21	35%	6%	59	-1.1	.205/.281/.332	.127	.308	11	27	35%	7%	71	-0.3	.190/.283/.327	.137	.290	12	39	35%	8%	66	-0.3
✕Chad Hinshaw 2017 · AA	26	44	43→45	55	41	.213/.289/.329	.116	.307	11	26	32%	7%	74	-0.1	.199/.262/.295	.096	.300	8	15	34%	6%	53	-1.5	.177/.235/.263	.086	.267	7	11	34%	6%	30	-1.5
✕Hunter Jones 2018 · AA	26	43→53	40→45	54→55	42	.208/.264/.303	.095	.271	7	17	26%	6%	56	-1.3	.224/.280/.321	.097	.295	8	13	25%	6%	66	-0.6	.232/.288/.317	.085	.307	7	13	25%	6%	66	-0.3
✕Orlando Calixte 2018 · MLB	26	42→48	44→45	54→55	39	.211/.246/.326	.115	.267	12	20	26%	4%	53	-1.5	.224/.262/.335	.111	.294	12	17	27%	5%	63	-0.9	.222/.264/.308	.086	.295	9	20	27%	5%	53	-0.6
✕Gary Brown 2015 · AAA	26	43→53	41→45	50→55	40	.211/.261/.309	.098	.272	8	22	25%	4%	56	-1.3	.207/.252/.308	.101	.262	9	19	24%	4%	52	-1.6	.196/.237/.289	.093	.239	8	16	21%	4%	37	-1.9
✕Cody Strait 2009 · AA	26	42→47	49→55	54→55	39	.215/.263/.370	.154	.279	16	20	29%	5%	72	-0.2	.217/.262/.331	.114	.288	9	16	27%	5%	62	-0.9	.211/.257/.299	.088	.282	4	19	26%	5%	48	-1.0
✕José Azocar 2022 · AAA	26	48→56	42→45	54→65	37	.232/.272/.341	.109	.320	9	19	30%	4%	68	-0.5	.235/.276/.345	.110	.307	9	27	25%	5%	71	-0.3	.239/.275/.338	.099	.302	8	37	23%	4%	66	-0.3
✕Ryan Strausborger 2014 · AA	26	43→45	41→45	58→55	39	.210/.254/.315	.105	.273	8	22	26%	4%	54	-1.4	.217/.259/.321	.104	.275	9	26	24%	5%	57	-1.2	.204/.256/.297	.093	.271	9	28	27%	5%	48	-0.9
✕Taylor Featherston 2016 · MLB	26	42→45	47→50	50	38	.213/.258/.351	.138	.274	15	12	28%	4%	66	-0.6	.200/.252/.324	.124	.274	13	11	31%	5%	56	-1.3	.186/.243/.304	.118	.267	13	12	34%	5%	45	-1.3
✕Kelvin Gutiérrez 2021 · MLB	26	47→55	43→45	55→50	41	.229/.278/.336	.108	.307	12	16	29%	6%	69	-0.4	.227/.279/.334	.107	.299	10	8	26%	6%	69	-0.4	.223/.276/.324	.101	.291	9	5	26%	6%	63	-0.5
✕Logan Landon 2019 · AA	26	42→44	45	53→50	39	.209/.258/.326	.116	.290	13	18	32%	6%	59	-1.1	.196/.247/.302	.106	.284	12	12	34%	6%	48	-1.9	.166/.222/.255	.090	.241	11	5	35%	6%	22	-1.5
✕Daniel Amaral 2023 · AA	26	41	47→40	48→55	41	.209/.268/.341	.133	.288	15	14	32%	7%	68	-0.5	.231/.302/.338	.107	.302	9	28	25%	8%	81	+0.4	.241/.322/.332	.091	.312	6	48	22%	9%	85	+0.3
✕Tony Thomas 2012 · AAA	26	41→46	46→50	52→55	39	.208/.257/.340	.133	.277	13	15	30%	5%	63	-0.9	.203/.249/.338	.135	.283	13	17	32%	5%	58	-1.2	.196/.242/.333	.137	.279	12	16	33%	5%	51	-1.2
✕Cade Gotta 2017 · AA	25	45→51	42→45	55	42	.220/.266/.329	.109	.280	8	21	24%	6%	63	-0.9	.235/.286/.337	.102	.300	7	29	23%	7%	72	-0.2	.241/.300/.342	.101	.308	6	36	22%	8%	78	+0.1

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)