Andrews Opata — OGILVIE

Andrews OpataOF Salem RidgeYaks

Age 22 R/R 6'2" / 200 lbs A HR -5%K -4% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION444 act + 9 ros · stats below = ROS only

showingROS

wRC+†70

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%33

BB%11

BABIP303

ISO116

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 25 / POW 46

Toolsscout grade

CONTACT25

scouting grade only

POWER46

scouting grade only

EYE58

scouting grade only

SPEED74

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	—	—	—
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Arb-1	$0.2M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$-1M	+$0.0M

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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	22	A MLE	BOS	—	444	393	78	11	2	9	41	179	6	54	8	198	284	305	589	107	330	40	9	264	65	-19	+8	+0	-3	+10	-0.4
▸ 2026 season
YTD	22	A RAW	BOS	—	444	369	95	15	3	11	65	126	6	54	8	257	377	404	781	146	356	28	15	352	65	—	—	—	—	—	—
ROS	22	A MLE	BOS	0%	9	8	1	0	0	0	1	3	0	1	0	125	222	125	347		297	33	11	271	70	-0	+0	+0	-0	+0	0.0
TOT	22	A MLE	BOS	—	453	401	79	11	2	9	42	182	6	55	8	197	283	302	585	105	327	40	9	264	65	-19	+8	+0	-3	+10	-0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	BOS	34%	480	427	88	15	2	11	44	160	6	21	3	206	289	328	617	122	298	33	9	280	76	-14	+3	+0	-3	+10	-0.4
2028	24	MLB MLE	BOS	46%	518	460	97	16	3	12	47	168	6	20	3	211	292	337	629	126	298	32	9	286	79	-13	+3	+0	-3	+11	-0.2
2029	25	MLB MLE	BOS	52%	559	497	107	18	3	14	51	178	6	20	3	215	296	348	644	133	298	32	9	289	82	-12	+3	+0	-3	+12	-0.1
2030	26	MLB MLE	BOS	54%	604	536	115	20	3	15	56	190	7	21	3	215	297	347	644	132	297	31	9	290	83	-13	+3	+0	-4	+13	-0.0
2031	27	MLB MLE	BOS	54%	629	558	119	20	3	16	59	199	7	21	3	213	296	346	642	133	297	32	9	290	83	-13	+3	+0	-4	+14	-0.0
2032	28	MLB MLE	BOS	54%	626	555	118	20	3	15	59	199	7	20	3	213	296	341	637	128	296	32	9	289	82	-14	+3	-1	-4	+14	-0.2
2033	29	MLB MLE	BOS	53%	617	547	115	19	3	15	58	197	7	19	3	210	294	338	632	128	296	32	9	287	81	-14	+3	-1	-4	+13	-0.3
2034	30	MLB MLE	BOS	52%	607	538	113	19	3	14	57	195	7	18	3	210	294	335	629	125	294	32	9	284	79	-15	+2	-2	-4	+13	-0.6
2027	23	MLB CTX	BOS	34%	165	147	31	5	1	4	15	55	2	7	1	211	293	340	633	129	303	33	9	273	76	-5	+1	+0	-1	+4	-0.1
2028	24	MLB CTX	BOS	46%	239	212	46	8	1	6	22	77	3	9	2	217	300	349	649	132	303	32	9	279	79	-6	+1	+0	-1	+5	-0.1
2029	25	MLB CTX	BOS	52%	289	257	56	10	1	7	27	92	3	11	2	218	300	346	646	128	303	32	9	282	82	-6	+1	+0	-2	+6	-0.0
2030	26	MLB CTX	BOS	54%	327	290	63	11	1	8	30	103	4	11	2	217	299	345	644	128	303	31	9	283	83	-7	+1	+0	-2	+7	-0.0
2031	27	MLB CTX	BOS	54%	341	302	65	12	1	8	32	108	4	12	2	215	299	341	640	126	302	32	9	283	83	-7	+2	+0	-2	+7	-0.0
2032	28	MLB CTX	BOS	54%	340	301	64	11	1	8	32	108	4	11	2	213	297	336	632	123	302	32	9	283	82	-7	+1	-0	-2	+7	-0.1
2033	29	MLB CTX	BOS	53%	328	290	62	11	1	8	31	105	4	10	2	214	298	341	640	128	301	32	9	281	81	-8	+1	-1	-2	+7	-0.2
2034	30	MLB CTX	BOS	52%	318	281	59	10	1	7	30	102	4	9	2	210	295	327	623	117	300	32	9	278	79	-8	+1	-1	-2	+7	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2347	2080	446	78	8	56	219	750	28	80	15	214	298	340	638	126	303	32	9	281	80	-54	+10	-2	-14	+51	-0.9
/ 162G	—	A+C		—	650	576	124	22	2	16	61	208	8	22	4	215	300	344	643	128	303	32	9	281	80	-15	+3	-1	-4	+14	-0.3
Career	—	MLE		—	4649	4126	873	147	23	112	432	1489	53	161	24	212	295	340	634	128	299	32	9	287	80	-108	+23	-4	-28	+101	-1.7
/ 162G	—	MLE		—	650	577	123	21	3	16	60	208	7	23	3	213	295	343	638	130	301	32	9	287	80	-15	+3	-1	-4	+14	-0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jace Petersonlast yr '23 career totals — 10 seasons, 2,753 PA	4.1	2,753	42	77	228	318	337	+4	+5	5.3	6.0
/162	664	10	19	+1.0	+1.3	1.3	pk7: 7
#2Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#3Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#4Tony Kemplast yr '23 career totals — 7 seasons, 2,198 PA	3.3	2,198	35	52	238	326	354	-4	-3	4.3	4.3
/162	664	11	16	-1.3	-0.8	1.3	pk7: 4
#5Dustin 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
#6Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	4.0	2,667	64	91	211	291	339	-16	+0	0.5	0.7
/162	664	16	23	-4.0	+0.0	0.1	pk7: 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
Andrews Opata (OGILVIE)	22	20→25	41→46	69→74	58	198/281/308	110	297	6	25	35%	9%	70	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Mason Auer 2023 · A	22	46	46→45	63→60	43	228/289/362	134	305	13	29	29%	7%	84	+0.1	186/244/296	110	285	10	31	36%	6%	52	-2.2	158/217/258	100	251	9	37	39%	6%	30	-2.6
✕Clay Fuller 2009 · A	22	45	42→45	59→55	44	212/292/327	115	313	8	20	32%	8%	77	-0.3	208/277/318	110	293	11	18	31%	7%	70	-0.9	202/268/308	105	278	12	18	30%	7%	61	-1.1
✕Roberto Caro 2016 · A	22	44→41	38→40	61→60	48	208/284/299	91	280	3	20	25%	8%	67	-1.1	208/276/283	75	319	2	18	32%	8%	60	-1.6	215/287/293	78	329	2	26	32%	8%	65	-0.6
✕Johan Mieses 2015 · A	20	43→33	42→55	60→50	42	208/261/317	109	274	8	22	26%	6%	62	-1.4	194/241/346	152	272	18	8	35%	5%	63	-1.4	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Tim Tawa 2022 · A	23	45→44	47→55	58→50	45	221/289/359	138	303	14	18	30%	8%	83	+0.1	211/273/334	123	271	14	11	27%	7%	72	-0.7	224/287/394	170	271	21	14	25%	7%	89	+0.4
✕John Rhodes 2023 · AA	22	43→35	41→45	58→50	48	207/287/310	103	275	7	16	26%	8%	72	-0.7	186/253/287	101	260	10	9	31%	7%	53	-2.1	169/236/259	90	237	10	7	31%	7%	38	-2.3
✕Johan Rojas 2023 · AA	22	43→53	41→45	63→65	42	213/260/314	102	267	8	35	24%	5%	61	-1.5	243/285/345	102	306	7	37	22%	5%	78	-0.3	254/296/351	97	318	7	41	21%	5%	80	-0.1
✕Manuel Hilario 2014 · A	22	44	40→45	57→55	47	209/283/310	101	272	6	18	24%	8%	70	-0.8	206/261/285	79	284	5	10	28%	6%	55	-1.9	167/216/208	41	224	4	10	26%	4%	19	-0.8
✕Cooper Bowman 2023 · A	23	38→43	43→45	59→60	43	188/270/295	107	285	11	31	36%	8%	62	-1.4	205/277/320	115	284	11	35	30%	8%	70	-0.9	202/274/318	116	272	11	40	28%	8%	66	-0.7
✕Jorge Mateo 2017 · A	22	43→48	40→50	61→65	39	209/253/306	96	291	6	34	30%	5%	56	-1.9	200/241/317	117	293	8	28	33%	5%	55	-2.0	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Johan Lopez 2022 · A	22	43	44→45	56→55	44	209/290/327	118	301	11	16	32%	8%	76	-0.4	195/268/294	99	299	9	12	35%	8%	61	-1.5	172/246/253	81	260	7	12	34%	7%	41	-1.1
✕Jakob Marsee 2023 · A	22	44→48	43→45	58→60	54	211/315/327	116	289	9	21	28%	12%	86	+0.3	215/313/338	123	273	13	33	24%	11%	88	+0.5	211/310/338	127	264	13	40	24%	11%	84	+0.2
✕Hoy Park 2018 · A	22	43→49	39→45	58→55	46	205/275/296	91	274	6	17	26%	8%	63	-1.3	223/300/306	83	296	5	16	24%	9%	75	-0.5	228/317/324	96	297	8	17	24%	11%	83	+0.0
✕Wes Rogers 2016 · A	22	47→51	39→40	65	43	224/282/312	88	295	6	35	25%	6%	69	-0.9	222/277/311	89	296	6	34	25%	6%	67	-1.1	216/271/303	86	289	6	36	26%	6%	60	-1.3
✕Mikey Perez 2023 · A	23	42→35	44→45	58→60	43	204/289/330	125	286	11	31	31%	8%	78	-0.3	198/284/316	118	296	12	26	35%	8%	72	-0.7	150/256/252	101	230	14	36	38%	9%	47	-1.0
✕Mario Lisson 2006 · A	22	46→49	43→50	57→55	49	219/303/341	122	299	9	19	28%	10%	84	+0.2	220/282/334	114	289	10	21	26%	7%	75	-0.5	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Tyler James 2018 · A	21	44	36→30	64→65	42	204/266/281	77	293	2	27	29%	7%	56	-1.9	220/283/294	74	332	4	27	32%	7%	65	-1.2	230/297/289	60	352	4	45	33%	8%	65	-0.5
✕Kyren Paris 2023 · AA	21	41→47	45	60	41	193/274/319	125	316	12	27	39%	8%	69	-0.9	192/279/314	122	305	12	30	38%	10%	70	-0.9	180/273/303	123	282	14	35	38%	10%	63	-0.9
✕Trey Sweeney 2023 · AA	23	39→43	47→50	58→55	46	200/276/339	139	268	15	19	30%	9%	74	-0.5	213/284/345	132	280	14	17	28%	8%	78	-0.3	213/282/342	129	276	14	17	27%	8%	75	-0.4
✕Max Ferguson 2023 · A	23	37→34	39→40	63→60	52	176/280/265	89	267	6	32	33%	12%	60	-1.6	181/266/271	90	273	8	28	33%	10%	55	-2.0	178/257/269	91	255	10	28	32%	9%	48	-1.6

Career Stats + Projections

Career Comps

Career Path Comps