Diego Contreras — OGILVIE

Diego ContrerasIF ACL Mariners

Age 18 S/R 5'7" / 150 lbs ROK K +7%HR -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION191 act + 18 ros · stats below = ROS only

showingROS

wRC+†77

AVG/OBP/SLG.235 / .278 / .294

PA18

HR0

K%28

BB%6

BABIP303

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$23M ctrl surplus

Tools · ContractCON 55 / POW 39

Toolsscout grade

CONTACT55

scouting grade only

POWER39

scouting grade only

EYE56

scouting grade only

SPEED57

scouting grade only

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

Status MiLB

MLB Debut 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.6	$1M	+$1.0M
2034	Pre-Arb	$1.0M	+0.7	$2M	+$1M
2035	Arb-1	$3M	+0.6	$1M	+$0.0M (cut)
2036	Arb-2	$5M	+0.6	$1M	+$0.0M (cut)
2037	Arb-3	$6M	+0.5	$0.9M	+$0.0M (cut)
Totals		$3M		$8M	+$3M

Career Stats + Projections

Real MLB stats plus park-adjusted projections — this season (so far / rest / full), then future seasons and career totals.

show model inputsbasis chips: RAW = as recorded · CTX = with park/league context · A+C = actual + context combined · MLE = level/park-neutral

Methodology▸ how these numbers are built

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	MLB%	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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	17	ROK	DSL Mariners	—	132	105	34	5	2	0	22	12	3	8	4	324	454	410	863	86	366	9	17	391	151	+8	+0	—	—	+3	1.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	17	ROK MLE	DSL Mariners	—	132	113	30	4	2	0	14	17	3	8	4	265	362	336	698	71	294	13	11	297	87	-2	+0	—	—	+3	0.1
2025	17	ROK MLE	DSL Mariners	—	132	113	30	4	2	0	14	17	3	8	4	265	362	336	698	71	312	13	11	297	87	—	—	—	—	—	—
2025	17	ROK RAW	DSL Mariners	—	132	105	34	5	2	0	22	12	3	8	4	324	454	410	863	86	366	9	17	391	87	—	—	—	—	—	—
2025	17	ROK MLE	DSL Mariners	—	132	114	30	4	2	0	14	17	3	8	4	263	362	333	695	70	294	13	11	297	87	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	17	ROK MLE	DSL Mariners	—	132	114	30	4	2	0	14	17	3	8	4	263	362	333	695	70	294	13	11	297	87	—	—	—	—	—	—
YTD	18	ROK MLE	SEA	—	191	173	42	8	1	3	14	55	2	9	1	243	307	353	659	110	333	29	7	283	78	-5	+1	+0	+0	+4	0.0
▸ 2026 season
YTD	18	ROK RAW	SEA	—	191	165	54	11	1	4	22	38	2	9	1	327	413	479	891	152	400	20	12	394	78	—	—	—	—	—	—
ROS	18	ROK MLE	SEA	0%	18	17	4	1	0	0	1	5	0	1	0	235	278	294	572	59	306	28	6	282	77	-0	+0	+0	+0	+0	0.0
TOT	18	ROK MLE	SEA	—	209	190	46	9	1	3	15	60	2	10	1	242	304	347	652	105	333	29	7	283	78	-6	+2	+0	+0	+5	0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	19	MLB MLE	SEA	34%	246	222	52	9	2	4	19	64	3	5	1	234	303	347	650	113	304	26	8	289	82	-5	+1	+0	+0	+5	0.1
2028	20	MLB MLE	SEA	48%	372	334	79	14	2	7	30	95	5	8	2	237	309	353	662	117	305	26	8	297	87	-6	+1	+0	+0	+8	0.3
2029	21	MLB MLE	SEA	54%	467	420	100	18	3	9	38	117	6	10	2	238	310	360	670	121	305	25	8	301	90	-6	+1	+0	+0	+10	0.6
2030	22	MLB MLE	SEA	57%	532	477	114	20	3	11	43	132	7	12	2	239	311	363	674	124	306	25	8	304	92	-5	+2	+0	+0	+12	0.8
2031	23	MLB MLE	SEA	58%	577	517	125	22	4	12	47	143	8	13	3	242	315	369	684	128	306	25	8	306	93	-5	+1	+0	+0	+13	1.0
2032	24	MLB MLE	SEA	57%	605	542	131	23	4	13	50	149	8	14	3	242	315	371	686	129	307	25	8	308	94	-4	+2	+0	+0	+13	1.1
2033	25	MLB MLE	SEA	57%	622	558	136	24	4	14	51	153	8	14	3	244	316	376	692	133	307	25	8	308	95	-4	+2	+0	+0	+13	1.2
2034	26	MLB MLE	SEA	57%	629	564	137	24	4	14	52	155	8	14	3	243	316	374	690	131	307	25	8	309	95	-4	+2	+0	+0	+14	1.2
2035	27	MLB MLE	SEA	55%	629	563	137	24	4	14	53	155	8	14	3	243	317	375	692	131	307	25	8	309	95	-4	+2	+0	+0	+14	1.2
2036	28	MLB MLE	SEA	55%	624	558	136	24	4	14	53	155	8	14	3	244	318	376	695	133	306	25	8	308	94	-4	+2	-1	+0	+14	1.0
2037	29	MLB MLE	SEA	53%	614	549	131	23	3	13	52	153	8	13	3	239	314	362	676	124	306	25	8	306	93	-5	+1	-1	+0	+13	0.8
2038	30	MLB MLE	SEA	53%	604	540	127	22	3	12	51	152	8	13	3	235	311	354	664	119	304	25	8	303	91	-6	+1	-2	+0	+13	0.6
2039	31	MLB MLE	SEA	52%	590	527	123	21	3	12	50	151	8	12	2	233	309	353	662	120	302	26	8	299	88	-8	+2	-3	+0	+13	0.3
2040	32	MLB MLE	SEA	52%	571	511	118	20	3	11	48	148	7	11	2	231	306	346	652	115	299	26	8	293	85	-10	+1	-4	+0	+12	-0.0
2027	19	MLB CTX	SEA	34%	85	77	18	3	1	1	7	22	1	2	0	234	306	338	644	104	302	26	8	278	82	-2	+0	+0	+0	+2	0.0
2028	20	MLB CTX	SEA	48%	180	162	38	7	1	3	14	46	2	4	1	235	303	346	649	111	302	26	8	285	87	-3	+0	+0	+0	+4	0.2
2029	21	MLB CTX	SEA	54%	253	228	54	9	2	5	20	64	3	6	1	237	307	360	666	123	303	25	8	289	90	-3	+1	+0	+0	+5	0.3
2030	22	MLB CTX	SEA	57%	301	270	64	11	2	6	24	75	4	7	1	237	309	359	668	122	303	25	8	292	92	-3	+1	+0	+0	+7	0.5
2031	23	MLB CTX	SEA	58%	332	298	71	12	2	7	27	82	4	8	2	238	310	362	672	124	304	25	8	294	93	-3	+1	+0	+0	+7	0.5
2032	24	MLB CTX	SEA	57%	345	309	74	13	2	7	28	85	5	8	2	239	313	362	675	123	304	25	8	295	94	-2	+1	+0	+0	+7	0.6
2033	25	MLB CTX	SEA	57%	353	316	76	13	2	8	29	87	5	8	2	241	314	370	685	130	304	25	8	296	95	-2	+1	+0	+0	+8	0.6
2034	26	MLB CTX	SEA	57%	356	319	76	13	2	8	29	88	5	8	2	238	312	367	678	129	304	25	8	296	95	-2	+1	+0	+0	+8	0.7
2035	27	MLB CTX	SEA	55%	349	312	74	13	2	7	29	86	5	8	2	237	312	359	671	122	304	25	8	296	95	-2	+1	+0	+0	+8	0.6
2036	28	MLB CTX	SEA	55%	343	306	73	13	2	7	29	85	5	8	2	239	315	363	677	124	304	25	8	295	94	-2	+1	-0	+0	+7	0.6
2037	29	MLB CTX	SEA	53%	328	293	70	12	2	7	28	82	4	7	1	239	314	365	679	126	303	25	9	293	93	-3	+1	-1	+0	+7	0.5
2038	30	MLB CTX	SEA	53%	318	284	66	11	2	6	27	80	4	7	1	232	308	349	657	116	302	25	8	291	91	-3	+1	-1	+0	+7	0.4
2039	31	MLB CTX	SEA	52%	308	275	64	11	2	6	26	79	4	6	1	233	308	353	661	120	300	26	8	287	88	-4	+1	-1	+0	+7	0.2
2040	32	MLB CTX	SEA	52%	296	265	59	10	1	5	25	77	4	6	1	223	299	325	624	102	296	26	8	281	85	-5	+1	-2	+0	+6	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	4147	3714	877	151	25	83	342	1038	55	93	19	236	310	357	667	121	304	25	8	292	92	-40	+11	-6	+0	+90	5.7
/ 162G	—	A+C		—	650	582	138	24	4	13	54	163	9	15	3	237	312	359	671	122	305	25	8	292	92	-6	+2	-1	+0	+14	0.9
Career	—	MLE		—	7832	7012	1680	293	48	160	652	1944	103	176	39	240	314	364	677	124	307	25	8	304	92	-76	+20	-10	+0	+167	10.2
/ 162G	—	MLE		—	650	582	139	24	4	13	54	161	9	15	3	239	313	361	674	122	307	25	8	304	92	-6	+2	-1	+0	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Drew Stubbslast yr '16 career totals — 8 seasons, 3,143 PA	4.7	3,143	92	161	244	314	394	+3	+16	12.2	12.3
/162	664	19	34	+0.6	+3.3	2.6	pk7: 12
#2Logan Forsythelast yr '19 career totals — 9 seasons, 3,502 PA	5.3	3,502	70	42	246	327	370	+5	-11	8.6	9.2
/162	664	13	8	+0.9	-2.2	1.6	pk7: 10
#3Manuel Margotlast yr '24 career totals — 8 seasons, 3,154 PA	4.8	3,154	56	94	254	307	380	-5	+27	8.4	8.8
/162	664	12	20	-1.1	+5.6	1.8	pk7: 9
#4Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#5Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 8 projected seasons	6.4	4,282	88	94	239	310	364	+0	+0	8.6	7.2
/162	664	14	15	+0.0	+0.0	1.3	pk7: 6
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4

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 Contreras (OGILVIE)	18	50→55	34→39	52→57	56	226/293/324	98	306	2	4	27%	8%	77	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Angel Genao 2023 · A	19	45→55	37→45	51→50	46	211/284/282	71	293	4	12	28%	8%	63	-1.3	242/292/348	106	310	7	11	23%	6%	80	-0.1	262/318/385	123	318	10	13	20%	7%	97	+0.9
✕Leo Rivas 2016 · A	18	44→54	37→40	52→65	44	204/291/284	80	291	3	16	28%	8%	68	-1.0	208/298/282	74	292	3	17	27%	10%	69	-0.9	241/356/333	92	321	9	44	24%	14%	102	+1.0
✕Leody Taveras 2017 · A	18	47→53	37→50	52→55	44	221/266/301	80	283	3	15	22%	6%	59	-1.6	216/259/294	78	280	5	13	23%	6%	55	-1.9	245/296/373	128	305	13	20	23%	7%	86	+0.3
✕Forrest Wall 2015 · A	19	48→55	41→45	56→70	47	227/290/330	103	300	7	17	26%	8%	76	-0.4	222/274/319	97	291	7	16	25%	6%	68	-1.0	253/326/354	101	349	8	50	27%	9%	92	+0.5
✕Henry Ramos 2011 · A	19	47→55	41→50	48→50	41	225/276/322	97	299	8	14	27%	6%	69	-0.9	214/255/314	100	293	8	11	28%	5%	59	-1.7	252/313/388	135	315	15	7	24%	7%	95	+0.6
✕Akil Baddoo 2018 · A	19	46→53	42→50	52→55	49	219/296/333	114	288	7	10	25%	9%	80	-0.2	198/270/312	114	300	8	13	34%	9%	65	-1.2	236/319/383	147	308	15	24	26%	11%	96	+0.7
✕Yeicok Calderon 2010 · A	18	49	38→45	52→45	48	228/307/304	77	315	6	9	28%	9%	77	-0.3	210/272/330	120	310	11	6	34%	7%	70	-0.8	190/249/327	136	282	14	4	36%	7%	60	-0.6
✕Dalton Pompey 2011 · A	18	41→51	42→45	50→55	40	205/258/306	101	279	10	11	30%	6%	59	-1.7	201/270/294	93	286	7	18	30%	8%	61	-1.5	258/316/357	98	327	7	29	22%	7%	89	+0.4
✕Jose Monserrate 2023 · A	18	47	38→40	50	45	221/288/307	86	288	5	13	24%	7%	71	-0.8	215/291/282	67	299	3	21	26%	8%	66	-1.1	187/271/231	44	298	1	34	34%	9%	45	-0.6
✕Juan Lagares 2007 · A	18	42→52	40→45	53→50	41	203/261/302	99	285	6	11	30%	6%	59	-1.7	203/241/283	80	277	4	10	27%	4%	46	-2.6	268/308/373	106	324	7	13	19%	4%	89	+0.3
✕L.J. Hoes 2009 · A	19	50→60	37→40	56→50	52	233/301/304	71	285	4	11	19%	9%	74	-0.6	238/285/305	67	306	4	12	22%	6%	68	-1.0	274/333/360	86	328	5	15	17%	7%	95	+0.9
✕Gilberto Celestino 2017 · A	18	43→52	38→45	54→55	48	203/273/292	90	270	5	13	25%	8%	61	-1.5	209/261/295	86	283	6	11	27%	6%	57	-1.8	234/311/308	74	302	5	10	22%	9%	76	-0.2
●Danny Santana 2009 · A	18	44→54	38→55	58→55	43	206/259/297	91	278	3	14	26%	6%	56	-1.9	205/243/298	93	282	6	15	28%	4%	51	-2.3	240/285/441	201	301	25	22	29%	5%	97	+0.7
●Moisés Sierra 2007 · A	18	42→52	39→50	52→50	42	203/266/292	89	271	6	13	26%	6%	59	-1.6	205/253/299	94	283	8	9	29%	4%	55	-1.9	249/315/369	120	307	12	15	22%	7%	92	+0.6
✕Adrian Cardenas 2007 · A	19	47→57	39→40	54→50	43	225/276/311	86	292	5	14	24%	6%	66	-1.1	253/298/346	93	309	6	11	19%	6%	82	+0.0	272/321/361	89	314	4	8	14%	6%	93	+0.7
✕Alen Hanson 2011 · A	18	49→52	38→50	53→60	44	231/275/314	83	287	4	15	21%	5%	66	-1.1	230/281/355	125	292	8	20	23%	6%	78	-0.3	239/283/383	143	299	11	21	23%	5%	82	+0.0
✕Yolmer Sánchez 2010 · A	18	44→54	37→50	50	44	202/279/274	72	309	4	8	33%	9%	60	-1.6	234/303/297	63	303	2	10	22%	8%	74	-0.6	248/310/361	113	309	7	9	21%	7%	88	+0.5
✕Albert Almora Jr. 2013 · A	19	48→58	39→45	52→50	42	231/269/322	91	279	6	11	20%	4%	66	-1.1	243/275/346	103	285	7	6	17%	4%	74	-0.6	278/311/392	114	323	10	5	17%	4%	95	+0.7
✕Darell Hernaiz 2021 · A	19	45→55	39→45	52→50	44	211/276/297	86	310	7	9	32%	8%	63	-1.3	236/282/327	91	298	8	17	23%	5%	72	-0.7	253/310/346	93	295	7	12	16%	7%	85	+0.2
●Jorge Bonifacio 2011 · A	18	47→51	37→50	51→45	42	215/274/302	86	311	3	11	30%	7%	63	-1.3	219/264/329	110	300	8	6	28%	5%	66	-1.1	239/305/392	153	311	17	3	28%	8%	94	+0.7

Career Stats + Projections

Career Comps

Career Path Comps