Gabriel Moreno — OGILVIE

Gabriel MorenoC Arizona Diamondbacks

Age 26 R/R 5'9" / 195 lbs MLB HR -5% Svc 3.355 · Ctrl thru 2028 peak 3.7 · 2026

wRC+†vL 112118vR 111

AVG/OBP/SLG.276 / .349 / .415

PA403

HR10

K%17

BB%10

MLB%100%

Scouting · now → future

HIT

60→60

PWR

45→45

SPD

50→50

EYE

58↘55

trajectory · 10 yrs

2.9peak

2026

Contract

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

Status Arb-1

MLB Debut 2022

Service 3.355 yrs.days

Team Control Through 2028

First FA Year 2027

Year	Status	Salary	Proj WAR	Value	Surplus
2026	Arb-1	$3M	+3.7	$30M	+$27M
2027	Arb-2	$12M	+3.7	$30M	+$19M
2028	Arb-3	$17M	+3.6	$31M	+$14M
Totals		$31M		$91M	+$60M

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
2017	17	ROK	DSL Blue Jays	135	127	26	3	1	0	4	7	0	5	4	.205	.229	.244	.473	.039	.210	5	3	.203	14	-13	-1	+0	+2	+4	-0.8
2018	18	ROK	Bluefield Blue Jays	167	156	42	12	1	3	4	28	4	2	1	.269	.305	.417	.722	.147	.305	17	2	.313	98	-0	+0	+0	+3	+5	0.7
2019	19	A	Lansing Lugnuts	341	314	73	13	4	9	15	50	7	7	1	.232	.283	.385	.668	.153	.246	15	4	.286	77	-9	+1	+0	+6	+10	0.8
2020	20	INTL	Cardenales de Lara	70	59	22	5	0	1	11	6	0	1	0	.373	.471	.508	.980	.136	.404	9	16	—	—	—	—	+0	+1	—	—
2021	21	INTL	2 teams	318	288	96	17	2	17	22	63	4	3	2	.333	.389	.583	.972	.250	.373	20	7	.416	176	+27	-0	+0	+6	+9	4.3
2022	22	AAA	2 teams	340	315	96	15	0	4	20	61	4	7	1	.305	.354	.390	.744	.086	.367	18	6	.326	108	+3	+1	+4	+6	+10	2.5
2023	23	MLB	Arizona Diamondbacks	380	341	96	18	1	7	29	75	3	6	2	.282	.343	.402	.745	.120	.335	20	8	.323	105	+2	+0	+12	+7	+11	3.3
2024	24	MLB	Arizona Diamondbacks	351	305	79	17	1	5	41	52	2	3	1	.259	.351	.370	.721	.111	.295	15	12	.315	99	-0	+0	+10	+6	+10	2.6
2025	25	MLB	2 teams	332	298	86	14	1	11	31	59	1	2	2	.289	.358	.453	.811	.164	.326	18	9	.346	123	+9	-0	+11	+6	+9	3.5
▸ 2026 Season (actual · ROS · total)
2026	26	MLB	Arizona Diamondbacks	45	40	11	5	0	0	3	8	1	0	0	.275	.341	.400	.741	.125	.333	18	7	.323	105	+0	+0	+2	+1	+1	0.4
ROS	26	MLB	ARI	358	319	88	18	1	8	33	60	3	4	1	.276	.349	.414	.763	.138	.316	17	9	.341	119	+8	+0	+7	+6	+10	3.2
TOT	26	MLB	ARI	403	359	99	23	1	8	36	68	4	4	1	.276	.348	.412	.761	.136	.318	17	9	.339	118	+8	+0	+9	+7	+11	3.7
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	27	MLB	ARI	411	367	101	21	1	9	38	62	3	4	1	.275	.348	.411	.759	.136	.308	15	9	.341	119	+9	+0	+8	+7	+12	3.7
2028	28	MLB	ARI	415	370	102	21	1	9	39	63	3	3	1	.276	.350	.411	.760	.135	.308	15	9	.340	118	+9	+0	+8	+7	+12	3.6
2029	29	MLB	ARI	408	363	99	20	1	9	39	63	3	2	0	.273	.348	.408	.756	.135	.307	15	10	.338	117	+8	+0	+7	+7	+12	3.4
2030	30	MLB	ARI	402	358	97	20	1	8	38	64	3	1	0	.271	.346	.399	.745	.128	.306	16	9	.335	114	+6	+0	+6	+7	+11	3.2
2031	31	MLB	ARI	375	335	90	18	1	8	35	61	2	0	0	.269	.341	.400	.741	.131	.305	16	9	.331	111	+5	+0	+5	+7	+11	2.7
2032	32	MLB	ARI	346	308	83	17	1	7	33	58	2	0	0	.269	.344	.399	.743	.130	.304	17	10	.326	108	+3	+0	+3	+6	+10	2.3
2033	33	MLB	ARI	308	274	72	14	1	6	29	54	2	0	0	.263	.338	.387	.725	.124	.303	18	9	.321	104	+1	+0	+2	+6	+9	1.8
2034	34	MLB	ARI	259	231	58	12	0	4	24	47	2	0	0	.251	.327	.355	.682	.104	.301	18	9	.314	99	-0	+0	+0	+5	+7	1.2
2035	35	MLB	ARI	206	184	45	9	0	3	19	40	1	0	0	.245	.319	.342	.661	.098	.299	19	9	.306	93	-2	+0	-1	+4	+6	0.6
2036	36	MLB	ARI	152	136	32	6	0	2	14	31	1	0	0	.235	.311	.324	.635	.088	.296	20	9	.298	86	-2	+0	-3	+3	+4	0.1
▸ Career Totals (MLE all levels + projections)
Career	—			6074	5448	1483	290	19	130	518	1004	50	50	17	.272	.341	.404	.745	.132	.310	17	9	.324	106	+43	+3	+78	+108	+172	41.4
/ 162G	—			650	583	159	31	2	14	55	107	5	5	2	.273	.340	.405	.745	.132	.310	16	8	.324	106	+5	+0	+8	+12	+18	4.4

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
2017	17	ROK	DSL Blue Jays	135	125	31	4	1	0	6	5	0	5	4	.248	.282	.296	.578	.048	.250	4	4	.255	54	-7	-1	—	—	+4	-0.4
2018	18	ROK	Bluefield Blue Jays	167	153	55	17	2	4	7	20	4	2	1	.359	.402	.575	.978	.216	.386	12	4	.420	180	+15	+0	—	—	+5	2.0
2019	19	A	Lansing Lugnuts	341	307	86	17	5	12	22	38	7	7	1	.280	.342	.485	.828	.205	.282	11	6	.359	133	+13	+1	—	—	+10	2.4
2020	20	INTL	Cardenales de Lara	70	59	22	5	0	1	11	6	0	1	0	.373	.471	.508	.980	.136	.404	9	16	.438	193	+7	+0	—	—	+2	1.0
2021	21	AA	New Hampshire Fisher Cats	145	126	47	9	1	8	14	22	3	1	2	.373	.448	.651	1.098	.278	.398	15	10	.469	217	+19	-1	—	—	+4	2.3
2021	21	INTL	Cardenales de Lara	173	146	45	11	1	2	24	24	1	2	0	.308	.409	.438	.848	.130	.352	14	14	.378	148	+9	+0	—	—	+5	1.5
2022	22	MLB	Toronto Blue Jays	73	69	22	1	0	1	4	8	0	0	0	.319	.356	.377	.733	.058	.350	11	5	.332	112	+1	+0	+4	+6	+2	1.4
2022	22	AAA	Buffalo Bisons	267	238	75	16	0	3	24	45	4	7	1	.315	.387	.420	.807	.105	.377	17	9	.364	137	+11	+1	—	—	+8	2.0
2023	23	MLB	Arizona Diamondbacks	380	341	97	19	1	7	29	75	3	6	2	.284	.346	.408	.753	.123	.338	20	8	.333	113	+5	+0	+12	+7	+11	3.6
2024	24	MLB	Arizona Diamondbacks	351	305	81	18	1	5	41	52	2	3	1	.266	.356	.380	.737	.115	.303	15	12	.333	113	+5	+0	+10	+6	+10	3.2
2025	25	MLB	Arizona Diamondbacks	309	277	79	12	1	9	29	53	1	2	2	.285	.355	.433	.788	.148	.323	17	9	.350	126	+9	-0	+11	+6	+9	3.5
2025	25	AAA	Reno Aces	23	20	8	3	0	2	3	5	0	0	0	.400	.478	.850	1.328	.450	.462	22	13	.557	285	+5	+0	—	—	+1	0.6
▸ Career Totals (raw MLB only — historical actual)
MLB Career	—			1113	992	279	50	3	22	103	188	6	11	5	.281	.352	.404	.757	.123	.324	17	9	.338	116	+21	+0	+37	+25	+32	11.7

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
Gabriel Moreno (OGILVIE)	26	60	45	50	55	.274/.347/.412	.137	.308	9	4	15%	9%	119	+2.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Jonathan India 2023 · MLB	26	50→51	49→50	46→50	52	.249/.342/.401	.152	.302	16	9	22%	9%	115	+2.7	.241/.337/.381	.140	.289	15	11	21%	10%	108	+2.3	.234/.336/.364	.130	.280	13	9	20%	11%	99	+1.6
●Stephen Drew 2009 · MLB	26	53→57	50→55	51→45	50	.263/.317/.433	.171	.295	16	6	17%	7%	111	+2.5	.262/.324/.426	.164	.300	14	7	17%	8%	112	+2.6	.257/.325/.410	.153	.298	11	7	17%	9%	103	+1.7
●Mark Ellis 2003 · MLB	26	53→63	44→50	48→50	58	.258/.341/.384	.127	.287	11	8	14%	10%	108	+2.3	.259/.329/.390	.131	.291	11	6	14%	9%	105	+2.1	.275/.342/.426	.151	.300	16	5	14%	8%	118	+2.7
✕Aledmys Díaz 2017 · MLB	26	52→58	50→55	43→45	49	.260/.319/.425	.165	.290	17	8	17%	7%	111	+2.5	.254/.305/.412	.158	.276	18	7	15%	6%	102	+1.8	.256/.317/.421	.164	.277	19	3	15%	7%	104	+1.2
●Chris Iannetta 2009 · MLB	26	51→57	53→60	46→45	57	.258/.361/.443	.185	.306	20	2	22%	12%	133	+4.0	.235/.348/.432	.197	.273	23	4	22%	13%	125	+3.5	.236/.357/.383	.147	.304	16	2	25%	15%	112	+1.5
●Brendan Donovan 2023 · MLB	26	55→59	43→50	44→50	55	.263/.353/.375	.112	.313	10	9	18%	10%	112	+2.6	.272/.350/.402	.130	.305	13	7	15%	9%	118	+3.0	.277/.348/.414	.137	.304	14	5	13%	8%	116	+2.4
✕Mark Teahen 2008 · MLB	26	57→60	47→55	55→50	52	.275/.342/.431	.156	.334	12	11	21%	9%	121	+3.2	.267/.328/.410	.143	.328	13	8	21%	8%	110	+2.4	.261/.323/.395	.134	.322	12	6	22%	8%	99	+1.4
●Ronnie Belliard 2002 · MLB	27	53→58	47→50	48→45	58	.258/.340/.410	.152	.286	12	8	14%	10%	115	+2.7	.254/.321/.386	.132	.287	11	7	15%	9%	101	+1.8	.277/.338/.423	.146	.307	13	4	14%	8%	114	+2.6
●Austin Barnes 2016 · MLB	26	52→54	45→50	51→50	52	.254/.324/.384	.129	.290	12	11	17%	8%	102	+1.8	.250/.330/.383	.133	.297	12	15	19%	10%	105	+2.1	.244/.341/.370	.127	.299	11	15	21%	11%	99	+0.9
●J.T. Realmuto 2017 · MLB	26	57→66	46→60	50→55	45	.282/.323/.419	.137	.325	13	13	18%	5%	110	+2.4	.282/.334/.461	.179	.326	19	9	19%	6%	126	+3.5	.273/.332/.471	.198	.313	22	7	20%	7%	123	+3.1
●Jose Amador 2006 · AAA	26	54→64	48→55	44→45	54	.265/.329/.414	.149	.281	15	9	12%	8%	111	+2.5	.280/.335/.399	.119	.309	11	7	13%	7%	110	+2.4	.272/.326/.435	.163	.308	23	3	19%	5%	114	+2.0
✕Luis Urías 2023 · MLB	26	47→57	51→55	43→45	54	.240/.331/.401	.161	.281	19	5	21%	10%	110	+2.4	.220/.316/.357	.137	.263	16	6	22%	10%	93	+1.3	.206/.306/.322	.116	.244	14	5	21%	10%	77	+0.1
●Gabe Kapler 2001 · MLB	26	57→60	51→55	46→55	55	.284/.344/.452	.167	.301	17	10	12%	9%	128	+3.6	.271/.336/.420	.149	.298	15	18	14%	9%	116	+2.8	.267/.332/.400	.133	.298	12	21	14%	9%	106	+1.4
✕Jeff Natale 2009 · AAA	26	51→53	44→45	44→40	59	.247/.349/.367	.120	.269	11	5	13%	10%	109	+2.4	.234/.319/.341	.107	.265	9	6	15%	9%	89	+1.0	.239/.325/.335	.095	.276	8	0	15%	10%	86	+0.3
●Kelly Johnson 2009 · MLB	27	57→58	49→55	49→50	55	.277/.353/.443	.166	.326	14	10	19%	10%	128	+3.7	.256/.332/.430	.174	.303	17	12	20%	10%	117	+2.9	.241/.323/.422	.181	.287	19	13	22%	10%	106	+2.0
✕Devon Travis 2017 · MLB	26	55→62	48→50	49→50	46	.273/.316/.417	.144	.318	15	9	19%	6%	107	+2.2	.251/.291/.396	.145	.288	15	8	18%	5%	91	+1.1	.235/.273/.377	.142	.263	15	7	17%	4%	76	+0.0
●Lonnie Chisenhall 2015 · MLB	26	53→58	50→55	48→45	47	.267/.321/.428	.161	.307	17	5	19%	6%	112	+2.6	.256/.307/.399	.143	.302	14	6	19%	6%	98	+1.6	.272/.330/.439	.166	.315	16	7	18%	7%	111	+1.2
●Neil Walker 2013 · MLB	27	56→57	48→55	45	51	.277/.338/.427	.150	.322	15	9	18%	8%	118	+3.0	.266/.337/.438	.172	.296	19	5	17%	8%	121	+3.2	.271/.339/.455	.184	.297	23	3	17%	8%	121	+2.9
✕Brendan Harris 2008 · MLB	27	53→58	46→50	47→45	47	.261/.315/.396	.135	.308	13	7	19%	6%	101	+1.8	.254/.311/.376	.122	.304	10	3	19%	7%	94	+1.3	.226/.309/.339	.113	.264	10	1	18%	9%	83	+0.3
✕Adam Moore 2010 · MLB	26	52→60	49→55	44→40	44	.261/.312/.412	.150	.308	16	3	21%	6%	105	+2.1	.235/.280/.352	.117	.291	12	4	23%	5%	75	-0.0	.211/.268/.343	.132	.282	16	2	30%	7%	65	-0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)