Grant Jay — OGILVIE

Grant JayC Inland Empire 66ers

Age 22 R/R 6'0" / 225 lbs A K +7%HR -5% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION327 act + 9 ros · stats below = ROS only

showingROS

wRC+†69

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

PA9

HR0

K%44

BB%11

BABIP277

ISO133

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$26M ctrl surplus

Tools · ContractCON 25 / POW 52

Toolsscout grade

CONTACT25

scouting grade only

POWER52

scouting grade only

EYE57

scouting grade only

SPEED53

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	+0.7	$2M	+$1M
2032	Pre-Arb	$0.9M	+0.6	$2M	+$1M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Arb-1	$2M	+0.3	$0.7M	+$0.0M (cut)
2035	Arb-2	$2M	+0.2	$0.4M	+$0.0M (cut)
2036	Arb-3	$1M	—	—	—
Totals		$3M		$6M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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	SEA	—	327	279	43	9	2	9	29	162	16	8	2	154	272	297	569	143	306	50	9	253	57	-17	+1	+0	+6	+7	-0.3
▸ 2026 season
YTD	22	A RAW	SEA	—	327	267	60	14	3	12	41	121	16	8	2	225	361	434	796	210	350	37	13	355	57	—	—	—	—	—	—
ROS	22	A MLE	SEA	0%	9	8	1	0	0	0	1	4	0	0	0	125	222	125	347		280	44	11	270	69	-0	+0	+0	+0	+0	0.0
TOT	22	A MLE	SEA	—	336	287	44	9	2	9	30	166	16	8	2	153	270	293	563	139	304	49	9	253	58	-17	+1	+0	+6	+7	-0.3
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	SEA	43%	454	400	75	14	3	13	39	170	12	8	2	188	279	335	614	148	280	37	9	277	73	-14	+1	+0	+8	+10	0.4
2028	24	MLB MLE	SEA	58%	490	432	83	16	3	14	43	177	12	9	2	192	283	340	624	148	282	36	9	283	78	-13	+1	+0	+9	+11	0.7
2029	25	MLB MLE	SEA	65%	520	458	90	17	3	16	45	184	12	10	3	197	285	352	637	155	283	35	9	286	80	-12	+1	+0	+9	+11	0.9
2030	26	MLB MLE	SEA	68%	520	457	90	17	3	16	46	183	12	11	3	197	287	352	640	155	283	35	9	288	81	-12	+1	+0	+9	+11	1.0
2031	27	MLB MLE	SEA	68%	520	457	90	17	3	16	46	183	12	11	3	197	287	352	640	155	283	35	9	288	81	-12	+1	+0	+9	+11	1.0
2032	28	MLB MLE	SEA	68%	520	456	90	17	3	16	47	184	12	10	3	197	289	353	642	156	282	35	9	287	81	-12	+1	-1	+9	+11	0.9
2033	29	MLB MLE	SEA	66%	520	456	89	17	3	15	47	185	12	10	3	195	287	344	632	149	281	36	9	285	79	-13	+1	-1	+9	+11	0.7
2034	30	MLB MLE	SEA	66%	520	456	88	17	3	15	47	186	12	10	2	193	285	342	628	149	279	36	9	283	77	-14	+1	-2	+9	+11	0.6
2035	31	MLB MLE	SEA	65%	504	441	83	16	2	14	46	182	12	9	2	188	283	329	611	141	277	36	9	279	75	-15	+1	-3	+9	+11	0.3
2036	32	MLB MLE	SEA	65%	489	431	79	15	2	13	44	178	11	9	2	183	276	318	594	135	273	36	9	273	71	-17	+1	-4	+9	+11	-0.0
2027	23	MLB CTX	SEA	43%	196	172	31	6	1	5	17	73	5	4	1	180	273	314	587	134	277	37	9	255	73	-6	+0	+0	+4	+4	0.2
2028	24	MLB CTX	SEA	58%	284	250	48	9	2	8	25	103	7	5	1	192	284	340	624	148	279	36	9	262	78	-8	+1	+0	+5	+6	0.4
2029	25	MLB CTX	SEA	65%	337	297	58	11	2	10	29	119	8	7	2	195	284	347	631	152	280	35	9	266	80	-8	+1	+0	+6	+7	0.6
2030	26	MLB CTX	SEA	68%	354	312	61	12	2	10	31	124	8	7	2	196	285	343	628	147	280	35	9	268	81	-8	+1	+0	+6	+8	0.7
2031	27	MLB CTX	SEA	68%	354	311	61	12	2	10	32	125	8	7	2	196	288	344	632	148	280	35	9	268	81	-8	+1	+0	+6	+8	0.7
2032	28	MLB CTX	SEA	68%	353	310	59	11	2	10	32	125	8	7	2	190	283	335	618	145	279	35	9	267	81	-8	+1	-0	+6	+8	0.6
2033	29	MLB CTX	SEA	66%	345	303	58	11	2	10	31	123	8	7	2	191	284	340	624	149	278	36	9	265	79	-9	+1	-1	+6	+7	0.5
2034	30	MLB CTX	SEA	66%	341	299	58	11	2	10	31	122	8	6	2	194	287	344	631	151	277	36	9	262	77	-9	+0	-1	+6	+7	0.3
2035	31	MLB CTX	SEA	65%	328	287	54	10	2	9	30	118	8	6	2	188	283	331	614	143	274	36	9	259	75	-10	+0	-2	+6	+7	0.2
2036	32	MLB CTX	SEA	65%	316	278	50	9	1	8	28	115	7	6	1	180	272	306	577	126	270	36	9	254	71	-11	+1	-2	+6	+7	0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3208	2819	538	102	18	90	286	1147	75	62	17	191	283	336	618	145	280	36	9	263	78	-84	+6	-7	+57	+70	4.2
/ 162G	—	A+C		—	650	571	109	21	4	18	58	232	15	13	3	191	283	336	619	145	280	36	9	263	78	-17	+1	-1	+12	+14	0.9
Career	—	MLE		—	5066	4452	858	163	28	148	451	1816	119	97	25	193	284	342	626	149	282	36	9	283	78	-135	+9	-10	+90	+110	6.6
/ 162G	—	MLE		—	650	571	111	21	4	19	58	233	15	12	3	194	285	345	630	151	286	36	9	283	78	-17	+1	-1	+12	+14	0.8

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Miguel Olivolast yr '13 career totals — 11 seasons, 3,947 PA	5.9	3,947	144	53	241	275	417	+70	+53	19.1	18.9
/162	664	24	9	+11.9	+8.8	3.2	pk7: 19
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Derek Norrislast yr '17 career totals — 6 seasons, 2,195 PA	3.3	2,195	63	26	230	304	380	+39	+50	13.7	13.7
/162	664	19	8	+11.9	+15.1	4.1	pk7: 14
#4Bobby Crosbylast yr '10 career totals — 7 seasons, 2,832 PA	4.3	2,832	62	34	238	305	374	+28	+33	11.6	11.6
/162	664	15	8	+6.7	+7.7	2.7	pk7: 12
#5Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.3	3,528	102	68	194	282	342	+63	+28	7.2	6.4
/162	664	19	13	+11.9	+5.3	1.4	pk7: 6
#6J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	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
Grant Jay (OGILVIE)	22	20→25	47→52	48→53	57	176/273/312	136	280	8	7	39%	9%	69	-0.5	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sicnarf Loopstok 2016 · A	23	40→37	49→50	53→50	39	207/268/353	146	287	16	9	33%	6%	74	-0.5	208/273/341	133	295	14	10	33%	6%	74	-0.6	202/274/346	144	284	16	9	33%	6%	75	-0.3
✕Darrien Miller 2023 · A	22	38→41	47→45	50→45	48	196/307/325	129	265	16	7	30%	10%	84	+0.2	187/296/284	97	258	8	5	29%	10%	71	-0.8	175/316/278	103	239	9	4	27%	12%	76	-0.2
✕Adam Zebrowski 2023 · A	22	41→35	45→50	50→40	46	202/281/326	123	286	12	5	32%	9%	73	-0.6	186/249/301	115	286	13	3	38%	7%	55	-1.9	188/241/319	130	273	18	2	37%	5%	53	-1.3
✕Freuddy Batista 2022 · A	22	38	51→50	46→40	41	204/266/362	158	277	19	7	33%	7%	76	-0.4	205/266/337	132	302	13	6	35%	6%	70	-0.8	206/257/336	130	270	16	4	30%	4%	63	-0.6
✕Sean Coyle 2014 · A	22	36	49→50	54→50	37	192/251/336	144	277	17	14	36%	6%	64	-1.3	200/259/334	134	299	16	13	36%	7%	67	-1.1	181/245/299	117	275	13	12	37%	7%	50	-1.3
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4
✕Kendall Simmons 2022 · A	22	41	48→50	49→50	39	206/273/355	148	290	15	9	33%	6%	76	-0.4	200/267/343	143	290	16	9	35%	6%	72	-0.7	202/267/346	145	293	16	7	35%	6%	71	-0.3
✕Marcus Chiu 2019 · A	22	40→27	45	53→45	37	201/281/329	128	285	13	11	32%	5%	75	-0.5	179/267/301	122	311	13	6	44%	7%	63	-1.3	160/247/277	116	274	14	3	44%	7%	47	-1.5
✕Marcus Greene Jr. 2017 · A	22	34	46→50	44→40	39	181/247/307	126	264	15	5	36%	7%	56	-1.9	209/267/324	115	285	12	4	30%	7%	67	-1.1	208/268/318	109	276	12	2	28%	7%	64	-0.6
✕Chris Williams 2019 · A	22	38→32	53→55	47→40	47	207/281/370	163	255	22	4	29%	9%	84	+0.1	181/271/318	137	279	15	4	37%	11%	68	-1.0	176/260/345	169	249	23	4	38%	9%	68	-0.7
✕Zack Short 2018 · A	23	42→39	45→50	48→45	53	208/299/335	127	266	12	11	25%	10%	82	+0.0	198/288/331	133	281	13	8	31%	10%	77	-0.3	175/276/313	138	241	16	6	32%	11%	66	-0.7
✕Niko Hulsizer 2019 · A	22	43→29	47→60	51→50	42	209/299/349	140	319	15	12	36%	8%	86	+0.3	204/282/377	173	332	21	8	42%	8%	86	+0.3	193/269/382	189	315	25	12	44%	8%	80	-0.1
✕Miguel Amaya 2021 · A	22	42→41	46→50	48→40	46	211/282/339	129	262	14	4	25%	7%	77	-0.3	219/310/346	127	298	13	6	29%	9%	89	+0.5	212/319/354	142	290	16	3	30%	10%	93	+0.3
✕Tyler Kolodny 2011 · A	23	40→36	49→45	51→50	40	206/276/359	153	273	16	9	30%	6%	79	-0.2	209/284/321	112	285	10	10	29%	6%	74	-0.6	205/292/288	83	272	7	10	25%	6%	66	-0.5
✕Jack Brannigan 2023 · A	22	42	43→50	48→50	43	204/282/312	108	305	11	13	34%	8%	70	-0.8	201/283/352	151	301	18	17	37%	9%	80	-0.1	184/270/336	152	267	19	18	36%	9%	69	-0.5
✕Yu Chang 2018 · AA	22	36→44	49→50	49→45	39	193/251/345	152	262	17	9	33%	6%	66	-1.1	207/266/332	125	289	12	7	31%	7%	68	-1.0	212/267/370	158	271	20	6	29%	6%	76	-0.2
✕Tucker Mitchell 2023 · A	22	38	43→45	51→45	35	181/259/287	106	307	11	11	42%	7%	57	-1.8	200/265/308	108	290	13	7	34%	6%	63	-1.4	190/248/282	93	268	12	5	33%	5%	49	-1.0
✕Johan Mieses 2016 · A	21	41→33	45→55	52→50	39	207/251/337	130	273	12	14	29%	5%	63	-1.3	187/234/345	158	264	20	4	37%	5%	60	-1.6	191/265/355	164	235	23	7	30%	7%	72	-0.4
✕Kevin Padlo 2018 · A	22	36→40	45→50	44→50	47	182/268/311	128	259	12	8	33%	10%	65	-1.2	195/278/338	143	287	14	9	35%	9%	75	-0.5	190/261/345	156	258	19	12	33%	8%	68	-0.7
✕Alexander Campos 2022 · A	22	42	42→40	46→45	48	206/291/311	105	278	9	6	28%	9%	73	-0.6	220/302/308	88	316	7	6	30%	9%	76	-0.4	234/327/306	73	330	7	6	28%	11%	84	+0.1

Career Stats + Projections

Career Comps

Career Path Comps