Diego Cartaya — OGILVIE

Diego CartayaC Eugene Emeralds

Age 24 R/R 6'1" / 217 lbs A+ BB -3% Svc 0.0 · Ctrl thru 2035 peak 0.3 · 2029

wRC+†17

AVG/OBP/SLG.172 / .247 / .292

PA171

HR4

K%39

BB%7

MLB%0%

Scouting · now → future

HIT

20→20

PWR

41→41

SPD

44→44

EYE

49→49

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	+0.2	$0.9M	+$0.0M
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		$3M		$-9M	-$12M

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	AZL Dodgers Mota	207	191	37	8	1	3	10	60	3	1	0	.194	.245	.293	.538	.099	.260	29	5	.234	37	-15	+0	+0	+4	+6	-0.5
2021	19	A	Rancho Cucamonga Quakes	137	121	29	4	0	9	11	49	4	0	0	.240	.324	.496	.819	.256	.312	36	8	.347	124	+4	+0	+0	+2	+4	1.0
2022	20	A+	2 teams	445	383	73	17	1	16	42	156	18	1	0	.191	.300	.366	.666	.175	.268	35	9	.290	80	-10	+0	+0	+8	+13	1.1
2023	21	AA	Tulsa Drillers	403	364	53	8	0	14	27	147	8	0	0	.146	.221	.283	.504	.137	.188	36	7	.227	32	-31	+0	+0	+7	+11	-1.3
2024	22	AAA	3 teams	423	381	63	13	0	9	33	159	6	2	0	.165	.243	.270	.513	.105	.250	38	8	.233	36	-30	+0	+0	+8	+12	-1.1
2025	23	AAA	2 teams	87	79	7	1	0	1	6	53	2	0	0	.089	.172	.139	.312	.051	.240	61	7	.140	-34	-13	+0	+0	+2	+2	-0.9
▸ 2026 Season (actual · ROS · total)
2026	24	A+	Eugene Emeralds	35	30	0	0	0	0	4	32	1	0	0	.000	.143	.000	.143	.000	—	91	11	.090	-73	-7	+0	+0	+1	+1	-0.5
ROS	24	MLB	SF	136	122	20	4	0	3	11	59	2	1	0	.164	.244	.270	.515	.107	.272	43	8	.237	40	-9	+0	+0	+2	+4	-0.3
TOT	24	MLB	SF	171	152	20	4	0	3	15	91	3	1	0	.132	.224	.217	.441	.086	.288	53	9	.207	17	-16	+0	+0	+3	+5	-0.8
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	25	MLB 10%	SF	294	262	47	8	1	8	25	102	5	2	0	.179	.264	.309	.573	.130	.252	35	9	.259	56	-14	+0	+0	+5	+8	-0.1
2028	26	MLB 25%	SF	357	317	59	11	1	10	31	121	6	3	0	.186	.271	.322	.593	.136	.256	34	9	.266	61	-16	+1	+0	+6	+10	0.2
2029	27	MLB 43%	SF	380	338	63	11	1	11	33	127	6	3	0	.186	.271	.322	.593	.136	.258	33	9	.269	64	-16	+1	+0	+7	+11	0.3
2030	28	MLB 52%	SF	394	350	66	12	1	11	35	131	6	3	0	.189	.274	.323	.597	.134	.259	33	9	.269	64	-16	+1	-1	+7	+11	0.2
2031	29	MLB 63%	SF	394	350	66	12	1	11	35	132	6	2	0	.189	.274	.323	.597	.134	.258	34	9	.267	62	-17	+0	-1	+7	+11	0.0
2032	30	MLB 81%	SF	392	348	64	12	1	10	35	133	6	2	0	.184	.270	.310	.580	.126	.256	34	9	.264	60	-18	+0	-2	+7	+11	-0.1
2033	31	MLB	SF	369	328	60	11	1	10	33	127	5	0	0	.183	.268	.314	.582	.131	.254	34	9	.260	57	-18	+0	-3	+7	+10	-0.4
2034	32	MLB	SF	340	302	53	10	0	8	30	119	5	0	0	.175	.261	.288	.549	.113	.252	35	9	.255	54	-18	+0	-4	+6	+10	-0.6
2035	33	MLB	SF	303	269	46	8	0	7	27	108	4	0	0	.171	.257	.279	.535	.108	.250	36	9	.250	49	-17	+0	-4	+5	+9	-0.8
2036	34	MLB	SF	255	227	38	7	0	6	22	93	4	0	0	.167	.253	.278	.530	.110	.248	36	9	.244	45	-16	+0	-5	+5	+7	-0.9
▸ Career Totals (MLE all levels + projections)
Career	—			5316	4732	844	157	9	147	446	1876	96	20	0	.178	.263	.309	.571	.130	.254	35	8	.257	55	-270	+4	-20	+95	+151	-4.1
/ 162G	—			650	579	103	19	1	18	55	229	12	2	0	.178	.264	.307	.571	.130	.253	35	8	.257	55	-33	+0	-2	+12	+18	-0.5

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	AVG	OBP	SLG	OPS	ISO	BABIP	K%	BB%	wOBA	wRC+	BAT	RUN	FLD	POS	REP	WAR
2019	17	ROK	AZL Dodgers Mota	207	185	52	12	2	4	16	42	3	1	.281	.348	.432	.780	.151	.338	20	8	.343	121	+5	+0	—	—	+6	1.1
2021	19	A	Rancho Cucamonga Quakes	137	114	34	6	0	10	18	37	4	0	.298	.412	.614	1.026	.316	.353	27	13	.440	195	+15	+0	—	—	+4	1.9
2022	20	A+	Great Lakes Loons	282	231	58	13	0	13	40	75	9	1	.251	.382	.476	.858	.225	.310	27	14	.380	149	+16	+0	—	—	+8	2.4
2022	20	A	Rancho Cucamonga Quakes	163	131	34	9	1	9	23	44	9	0	.260	.405	.550	.955	.290	.321	27	14	.418	178	+14	+0	—	—	+5	1.9
2023	21	AA	Tulsa Drillers	403	354	67	10	0	19	37	117	8	0	.189	.281	.379	.659	.189	.216	29	9	.294	83	-8	+0	—	—	+11	0.4
2024	22	AAA	Oklahoma City Baseball Club	208	183	38	8	0	6	20	57	3	1	.208	.296	.350	.646	.142	.262	27	10	.292	81	-4	+0	—	—	+6	0.2
2024	22	AA	Tulsa Drillers	192	161	38	8	0	5	27	56	3	1	.236	.356	.379	.735	.143	.327	29	14	.335	115	+3	+0	—	—	+5	0.9
2024	22	INTL	Tiburones de La Guaira	23	19	4	0	0	1	4	8	0	0	.211	.348	.368	.716	.158	.300	35	17	.330	111	+0	+0	—	—	+1	0.1
2025	23	AAA	St. Paul Saints	69	59	5	0	0	1	9	40	1	0	.085	.217	.136	.353	.051	.222	58	13	.184	-1	-8	+0	—	—	+2	-0.6
2025	23	A	San Jose Giants	18	17	4	1	0	1	0	3	1	0	.235	.278	.471	.748	.235	.231	17	0	.328	109	+0	+0	—	—	+1	0.1

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
Diego Cartaya (OGILVIE)	24	20	41	44	49	.172/.247/.292	.120	.268	4	1	39%	7%	48	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Blake Hunt 2023 · AA	24	38	43→50	49→40	38	.190/.248/.301	.111	.281	11	5	35%	6%	49	-1.8	.209/.266/.343	.134	.276	14	5	29%	6%	67	-0.5	.206/.268/.347	.141	.262	15	2	27%	6%	67	-0.3
✕Jimmy Glowenke 2023 · A	24	37→39	46→45	43→45	37	.192/.258/.321	.130	.283	14	3	36%	6%	59	-1.1	.202/.276/.318	.116	.274	12	6	30%	7%	66	-0.6	.195/.276/.303	.107	.255	12	6	27%	7%	60	-0.7
✕Andy Yerzy 2022 · AA	24	32	50	48→40	41	.175/.260/.318	.143	.256	19	7	38%	8%	60	-1.0	.194/.275/.340	.146	.266	18	6	33%	9%	71	-0.3	.173/.250/.301	.128	.246	17	2	35%	8%	48	-0.9
✕Matt Winn 2017 · AA	24	37→33	47→45	46→30	38	.195/.248/.324	.129	.277	16	4	35%	6%	55	-1.4	.180/.237/.298	.118	.315	13	2	44%	7%	43	-2.2	.152/.215/.263	.110	.291	11	0	48%	7%	22	-1.6
✕Ben Rortvedt 2023 · MLB	25	39	47→45	46→40	39	.200/.260/.332	.132	.284	16	4	34%	6%	62	-0.9	.207/.285/.323	.116	.284	13	5	30%	9%	71	-0.3	.195/.283/.286	.092	.264	10	2	28%	10%	58	-0.5
✕Carter Bins 2023 · AAA	24	37	46→45	48→45	38	.184/.262/.316	.132	.307	14	7	42%	8%	59	-1.1	.185/.257/.311	.126	.319	14	9	43%	7%	56	-1.3	.156/.233/.268	.112	.275	14	8	46%	7%	31	-1.0
✕Sean Coyle 2017 · AAA	25	36	45→50	48→50	37	.186/.248/.306	.120	.290	14	12	39%	7%	50	-1.7	.185/.245/.287	.102	.286	9	10	36%	7%	43	-2.2	.153/.212/.244	.092	.224	3	6	32%	7%	14	-1.0
✕Omar Meregildo 2022 · AA	24	37→32	48→50	42→30	37	.188/.258/.325	.137	.309	17	4	43%	7%	60	-1.0	.194/.258/.338	.144	.299	19	4	39%	7%	63	-0.8	.178/.242/.323	.145	.256	20	2	38%	7%	50	-1.4
✕Trevor Schwecke 2023 · AAA	25	40	43→45	42→50	39	.196/.257/.308	.111	.294	11	7	36%	7%	54	-1.4	.222/.280/.337	.115	.319	10	13	32%	7%	71	-0.3	.230/.289/.344	.113	.326	10	17	30%	7%	74	-0.0
✕Jack Conley 2022 · AAA	25	35	41→45	50→45	39	.177/.239/.273	.095	.270	8	7	36%	7%	37	-2.6	.200/.266/.312	.112	.290	11	7	33%	7%	59	-1.1	.191/.265/.302	.110	.270	10	5	31%	8%	52	-0.8
✕Tate Blackman 2019 · A	24	37→33	45	43→40	40	.191/.258/.310	.119	.281	14	5	36%	7%	56	-1.3	.178/.247/.269	.091	.312	9	5	43%	7%	40	-2.4	.128/.208/.178	.050	.259	5	1	48%	8%	1	-2.8
✕Ricardo Genovés 2023 · AAA	24	40→42	46→45	43→30	40	.204/.266/.331	.127	.291	15	3	34%	7%	64	-0.8	.194/.262/.315	.121	.287	13	3	35%	7%	59	-1.1	.177/.255/.299	.122	.260	13	1	35%	8%	50	-0.8
✕Blake Forsythe 2014 · AA	25	36→35	45	49→30	39	.186/.249/.310	.124	.279	12	3	37%	7%	51	-1.7	.195/.250/.307	.112	.309	11	4	38%	6%	51	-1.7	.180/.237/.276	.096	.295	10	0	40%	7%	34	-1.2
✕Jarek Cunningham 2014 · AA	24	35→36	48→50	47→45	36	.187/.239/.325	.137	.259	16	8	34%	5%	52	-1.6	.200/.253/.334	.134	.279	14	7	32%	6%	59	-1.1	.194/.252/.330	.135	.272	13	4	32%	6%	56	-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
✕Jacob Nottingham 2019 · MLB	24	38→48	44→45	47→50	36	.191/.253/.304	.113	.285	12	8	36%	5%	52	-1.6	.193/.260/.318	.125	.293	14	9	37%	6%	59	-1.1	.178/.252/.304	.127	.254	16	11	35%	6%	50	-0.9
✕Nick Quintana 2022 · A	24	33→40	43→45	47→45	44	.172/.252/.279	.107	.245	11	6	33%	8%	46	-2.0	.191/.275/.301	.110	.267	11	5	30%	9%	61	-1.0	.177/.269/.279	.102	.246	10	3	30%	10%	50	-0.8
✕Will Wilson 2022 · AA	24	37→39	47→50	51→45	38	.192/.256/.327	.136	.292	16	8	38%	7%	59	-1.1	.200/.260/.331	.131	.283	16	6	34%	7%	62	-0.9	.193/.253/.304	.111	.257	14	4	30%	7%	49	-1.3
✕Juan Zabala 2022 · AA	23	40	43→40	46→50	37	.196/.253/.305	.109	.301	11	7	37%	6%	52	-1.6	.215/.278/.307	.092	.296	9	16	28%	7%	63	-0.9	.203/.265/.285	.083	.283	8	16	30%	7%	48	-0.8
✕Chris Williams 2022 · AA	25	36→31	45→55	50→40	45	.177/.269/.302	.125	.295	12	5	41%	11%	59	-1.1	.194/.271/.372	.178	.288	24	5	39%	9%	78	+0.2	.180/.262/.367	.188	.250	27	4	39%	9%	71	-0.2

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)