Danyer Cueva — OGILVIE

Danyer CuevaSS Frisco RoughRiders

Age 22 L/R 5'10" / 160 lbs AA K +3% Svc 0.0 · Ctrl thru 2034

wRC+†19

AVG/OBP/SLG.176 / .220 / .255

PA171

HR2

K%39

BB%5

MLB%2%

Scouting · now → future

HIT

21↗26

PWR

33↗38

SPD

52↗57

EYE

34↗39

trajectory · 10 yrs

-0.4peak

2030

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		$-5M		$-15M	-$11M

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 Rangers 1	232	210	41	6	1	1	14	71	8	9	4	.195	.272	.248	.519	.052	.290	31	6	.233	37	-17	+0	+0	+2	+7	-0.8
2022	18	ROK	2 teams	207	198	43	6	1	3	6	66	3	3	2	.217	.251	.303	.554	.086	.310	32	3	.242	44	-13	-0	+0	+2	+6	-0.5
2023	19	A	Down East Wood Ducks	411	387	67	11	2	3	14	191	5	9	4	.173	.212	.235	.447	.062	.323	46	3	.200	11	-41	+0	+0	+4	+12	-2.5
2024	20	A	3 teams	217	205	33	6	0	2	7	89	1	8	1	.161	.192	.220	.412	.059	.263	41	3	.181	-3	-25	+1	+0	+2	+6	-1.6
2025	21	A+	Hub City Spartanburgers	123	116	25	5	0	1	3	32	1	5	0	.216	.242	.284	.526	.069	.282	26	2	.226	31	-10	+1	+0	+1	+3	-0.4
▸ 2026 Season (actual · ROS · total)
2026	22	AA	Frisco RoughRiders	18	17	3	0	0	0	1	5	0	0	0	.176	.222	.176	.399	.000	.250	28	6	.155	-23	-3	+0	+0	+0	+1	-0.2
ROS	22	MLB	TEX	153	144	25	5	0	2	7	60	1	3	1	.174	.217	.250	.467	.076	.284	39	5	.217	24	-13	+0	+0	+2	+4	-0.7
TOT	22	MLB	TEX	171	161	28	5	0	2	8	65	1	3	1	.174	.218	.242	.460	.068	.274	38	5	.210	19	-16	+0	+0	+2	+5	-0.9
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 12%	TEX	289	270	51	10	1	5	15	107	2	6	1	.189	.237	.289	.526	.100	.286	37	5	.236	38	-20	+1	+0	+3	+8	-0.8
2028	24	MLB 27%	TEX	373	345	67	13	1	7	22	133	3	8	2	.194	.249	.299	.547	.104	.288	36	6	.247	47	-22	+1	+0	+4	+11	-0.7
2029	25	MLB 44%	TEX	416	383	76	14	1	9	26	145	4	9	2	.198	.257	.311	.567	.112	.289	35	6	.254	53	-22	+1	+0	+4	+12	-0.5
2030	26	MLB 59%	TEX	443	408	81	15	2	9	28	153	4	10	2	.199	.257	.311	.568	.113	.289	35	6	.258	55	-22	+1	+0	+5	+13	-0.4
2031	27	MLB 77%	TEX	452	415	84	16	2	10	30	156	4	10	2	.202	.263	.323	.586	.120	.289	35	7	.258	56	-23	+1	+0	+5	+13	-0.4
2032	28	MLB 84%	TEX	454	417	83	16	2	9	30	158	4	9	1	.199	.259	.312	.571	.113	.289	35	7	.257	55	-23	+1	-1	+5	+13	-0.5
2033	29	MLB 91%	TEX	447	410	80	15	1	9	30	157	4	9	1	.195	.257	.302	.559	.107	.288	35	7	.255	53	-24	+1	-1	+5	+13	-0.6
2034	30	MLB	TEX	439	403	78	15	1	9	29	155	4	8	1	.194	.255	.303	.557	.109	.286	35	7	.251	51	-24	+1	-2	+5	+12	-0.8
2035	31	MLB	TEX	426	392	74	14	1	8	28	153	3	7	0	.189	.248	.291	.539	.102	.285	36	7	.248	48	-25	+1	-3	+5	+12	-1.0
2036	32	MLB	TEX	409	376	70	13	1	7	27	149	3	6	0	.186	.246	.282	.528	.096	.283	36	7	.243	44	-26	+1	-4	+4	+12	-1.2
2037	33	MLB	TEX	380	349	64	12	1	6	25	141	3	5	0	.183	.244	.275	.519	.092	.282	37	7	.238	40	-26	+1	-4	+4	+11	-1.4
2038	34	MLB	TEX	335	308	55	10	1	5	22	127	2	4	0	.179	.238	.266	.504	.088	.280	38	7	.232	35	-24	+1	-5	+4	+9	-1.6
▸ Career Totals (MLE all levels + projections)
Career	—			6206	5736	1097	202	19	105	363	2243	59	128	24	.191	.247	.288	.535	.097	.290	36	6	.241	43	-401	+16	-20	+66	+176	-16.6
/ 162G	—			650	601	115	21	2	11	38	235	6	13	3	.191	.247	.288	.534	.097	.290	36	6	.241	43	-42	+1	-2	+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
2021	17	ROK	DSL Rangers 1	232	202	57	11	3	1	22	48	8	9	4	.282	.375	.381	.756	.099	.366	21	9	.346	123	+6	+0	—	—	+7	1.3
2022	18	A	Down East Wood Ducks	18	18	2	0	0	0	0	5	0	0	0	.111	.111	.111	.222	.000	.154	28	0	.101	-65	-3	+0	—	—	+1	-0.3
2022	18	ROK	ACL Rangers	189	176	58	10	1	5	10	40	3	3	2	.330	.376	.483	.859	.153	.405	21	5	.381	150	+11	-0	—	—	+5	1.6
2023	19	A	Down East Wood Ducks	411	380	86	15	4	4	21	137	5	9	4	.226	.276	.318	.594	.092	.336	33	5	.266	62	-18	+0	—	—	+12	-0.6
2024	20	A+	Hickory Crawdads	60	53	13	5	0	1	5	21	1	2	1	.245	.322	.396	.718	.151	.375	35	8	.318	101	+0	+0	—	—	+2	0.2
2024	20	A	Down East Wood Ducks	140	130	23	3	0	1	7	42	0	6	0	.177	.219	.223	.442	.046	.244	30	5	.200	11	-14	+1	—	—	+4	-0.9
2024	20	ROK	ACL Rangers	17	17	5	1	0	0	0	2	0	0	0	.294	.294	.353	.647	.059	.333	12	0	.288	79	-0	+0	—	—	+0	0.0
2025	21	A+	Hub City Spartanburgers	123	113	28	6	0	1	6	25	1	5	0	.248	.292	.327	.619	.080	.303	20	5	.274	68	-4	+1	—	—	+3	0.0

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
Danyer Cueva (OGILVIE)	22	21→26	33→38	52→57	39	.176/.220/.255	.079	.284	2	3	39%	5%	24	-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
✕D.J. Wilson 2019 · A	22	38	41→50	50	40	.187/.245/.287	.101	.278	8	13	34%	7%	43	-2.2	.181/.247/.277	.096	.303	9	14	40%	8%	43	-2.2	.105/.191/.194	.089	.179	12	21	47%	9%	-2	-1.5
✕Stephen Paolini 2023 · A	22	36	38→40	48→50	36	.165/.235/.242	.077	.309	6	12	45%	8%	28	-3.2	.174/.241/.260	.086	.320	8	16	44%	7%	35	-2.8	.157/.224/.241	.083	.287	9	23	45%	7%	21	-1.7
✕Fabian Pertuz 2023 · A	22	39→35	41→40	49→55	34	.191/.234/.284	.092	.286	8	9	35%	4%	37	-2.6	.177/.227/.268	.091	.270	9	12	36%	5%	30	-3.1	.148/.203/.232	.084	.229	9	13	38%	5%	9	-2.3
✕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
✕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
✕Andry Arias 2022 · A	22	38	42→40	46→40	39	.187/.254/.288	.101	.287	10	7	36%	7%	48	-1.9	.193/.256/.289	.096	.301	8	5	36%	7%	49	-1.8	.160/.230/.252	.091	.253	7	3	37%	7%	25	-1.2
✕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
✕Izzy Wilson 2019 · A	21	37→32	42→50	51→55	36	.182/.237/.281	.100	.297	10	12	41%	6%	38	-2.6	.188/.254/.299	.111	.316	12	18	41%	8%	51	-1.7	.178/.249/.314	.136	.272	17	23	39%	8%	49	-1.0
✕Rolando Gomez 2011 · A	22	42	40	51→50	39	.200/.249/.296	.096	.296	6	10	33%	6%	46	-2.0	.213/.255/.303	.090	.311	5	13	31%	5%	50	-1.7	.220/.260/.306	.087	.313	5	16	30%	5%	50	-1.1
✕Arturo De Freitas 2023 · A	22	35	39→45	45→40	34	.177/.225/.258	.082	.279	7	4	38%	5%	27	-3.3	.181/.235/.260	.079	.301	7	5	40%	6%	32	-3.0	.113/.162/.125	.012	.213	0	0	44%	5%	-37	-1.5
✕Deivis Nadal 2023 · A	21	38	36→40	48→55	37	.178/.246/.244	.066	.292	3	13	38%	6%	33	-2.9	.170/.252/.269	.099	.323	8	20	45%	9%	43	-2.2	.134/.227/.238	.104	.271	10	25	49%	9%	23	-1.5
✕Marcus Lee Sang 2022 · A	21	40→42	42→45	50	35	.194/.241/.297	.104	.308	10	13	39%	6%	44	-2.1	.204/.265/.321	.117	.328	12	14	39%	7%	61	-1.0	.200/.262/.318	.118	.310	13	15	37%	7%	55	-1.0
✕Brian Pointer 2014 · A	22	37→41	42→45	51→50	39	.184/.253/.293	.109	.274	10	13	35%	6%	50	-1.8	.204/.277/.329	.125	.307	13	12	35%	8%	69	-0.4	.204/.281/.340	.136	.306	15	12	36%	9%	69	-0.3
✕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
✕Aaron Bracho 2023 · A	22	30→38	42→45	44→40	38	.161/.227/.260	.099	.254	10	4	39%	7%	30	-3.1	.194/.258/.324	.130	.261	16	5	31%	7%	59	-1.1	.192/.255/.327	.134	.243	18	4	29%	7%	56	-0.7
✕Jose Dilone 2023 · A	22	38	37→30	51→55	41	.177/.254/.244	.067	.289	4	12	37%	8%	37	-2.6	.205/.283/.291	.086	.360	6	11	41%	9%	61	-1.0	.214/.304/.305	.091	.422	8	12	46%	10%	69	-0.1
✕Brenden Webb 2012 · A	22	38→37	38→45	47→50	42	.179/.255/.256	.077	.296	6	9	39%	9%	40	-2.4	.182/.261/.296	.114	.300	11	10	40%	9%	54	-1.4	.168/.246/.293	.124	.274	13	10	41%	8%	44	-1.5
✕Juan Zabala 2021 · A	22	39	38→40	47→50	37	.185/.248/.266	.081	.290	6	5	36%	6%	40	-2.4	.211/.273/.305	.094	.302	9	13	31%	7%	60	-1.0	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Corey Ray 2018 · A	23	40→36	40→50	49→55	35	.191/.241/.286	.096	.311	7	16	40%	6%	41	-2.3	.189/.244/.325	.136	.317	14	19	42%	6%	53	-1.5	.181/.238/.338	.156	.290	18	20	42%	6%	51	-1.0

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)