Player 837521 — OGILVIE

Player 8375211B DSL Rays

Age — —/— ROK HR -6%H +4% Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 65 proj PA

wRC+†84

AVG/OBP/SLG.206 / .345 / .260

PA65

HR0

K%25

BB%17

ISO54

MLB%0%

Value2026 · WAR

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

Tools · Contract

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

Status MiLB

MLB Debut 2033

Service 0 yrs (est)

Team Control Through 2038

First FA Year 2039

Year	Status	Salary	Proj WAR	Value	Surplus
2027	MiLB	still in minors · estimated debut 2033
2028	MiLB	still in minors · estimated debut 2033
2029	MiLB	still in minors · estimated debut 2033
2030	MiLB	still in minors · estimated debut 2033
2031	MiLB	still in minors · estimated debut 2033
2032	MiLB	still in minors · estimated debut 2033
2033	Pre-Arb	$0.9M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Pre-Arb	$1.0M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
2038	Ext	beyond projection horizon · no WAR estimate
Totals		$0.0M		$0.0M	+$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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	—	ROK	DSL Rays	—	34	18	5	0	0	0	16	4	0	7	0	278	618	278	895		357	12	47	461	116	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Rays	—	34	23	4	0	0	0	11	5	0	7	0	174	441	174	615		243	15	32	340	116	—	—	—	—	—	—
2026	—	ROK MLE	DSL Rays	—	34	23	4	0	0	0	11	5	0	7	0	174	441	174	615		222	15	32	340	116	—	—	—	—	—	—
2026	—	ROK RAW	DSL Rays	—	34	18	5	0	0	0	16	4	0	7	0	278	618	278	895		357	12	47	461	116	—	—	—	—	—	—
2026	25	ROK MLE	DSL Rays	—	34	23	4	0	0	0	11	5	0	7	0	174	441	174	615		243	15	32	340	116	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Rays	—	34	23	4	0	0	0	11	5	0	7	0	174	441	174	615		243	15	32	340	116	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	TB	0%	200	163	34	4	1	1	34	51	1	9	1	208	348	262	610	54	291	26	17	293	84	-4	+1	+0	-4	+4	0.0
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	TB	0%	112	93	20	2	1	1	17	28	1	5	0	209	337	270	607	60	288	25	15	289	82	-2	+1	+0	-2	+2	-0.1
2029	25	MLB MLE	TB	0%	224	187	40	5	1	2	34	56	1	10	1	211	336	278	614	66	288	25	15	291	83	-5	+2	+0	-4	+5	-0.2
2030	25	MLB MLE	TB	0%	309	258	55	7	1	3	46	77	2	13	1	213	336	285	620	72	288	25	15	292	84	-6	+2	+0	-6	+7	-0.3
2031	25	MLB MLE	TB	0%	371	312	67	8	2	4	54	92	2	16	1	215	335	292	626	77	287	25	15	294	85	-7	+3	+0	-7	+8	-0.2
2032	25	MLB MLE	TB	0%	415	350	76	10	2	5	59	102	3	17	1	216	334	298	632	82	287	25	14	295	86	-7	+3	+0	-7	+9	-0.2
2033	25	MLB MLE	TB	0%	447	377	82	10	2	6	64	110	3	18	1	216	334	298	632	82	287	25	14	295	86	-7	+3	+0	-8	+10	-0.3
2034	25	MLB MLE	TB	0%	471	398	86	11	2	6	67	116	3	19	1	216	333	299	632	83	286	25	14	295	86	-8	+3	+0	-8	+10	-0.3
2035	25	MLB MLE	TB	0%	488	412	88	11	2	6	70	120	3	19	1	216	333	299	632	83	286	25	14	295	86	-8	+3	+0	-9	+11	-0.3
2028	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	213	340	272	612	60	293	—	—	291	82	—	—	+0	-0	—	—
2029	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	214	339	280	619	65	292	—	—	293	83	—	—	+0	-0	—	—
2030	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	216	338	287	625	71	292	—	—	294	84	—	—	+0	-0	—	—
2031	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	217	337	293	630	76	292	—	—	296	85	—	—	+0	-0	—	—
2032	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	219	336	300	636	81	291	—	—	297	86	—	—	+0	-0	—	—
2033	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	219	336	300	636	81	291	—	—	297	86	—	—	+0	-0	—	—
2034	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	219	336	300	635	81	290	—	—	297	86	—	—	+0	-0	—	—
2035	25	MLB CTX	TB	0%	0	0	0	0	0	0	0	0	0	0	0	218	335	300	635	82	290	—	—	297	86	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	2936	2464	528	65	13	33	433	722	18	127	7	214	336	291	627	77	287	25	15	295	86	-51	+21	+0	-52	+63	-1.9
/ 162G	—	MLE		—	650	546	116	14	3	7	96	160	4	28	2	212	335	288	622	75	285	25	15	295	86	-11	+5	+0	-12	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Willie Harrislast yr '11 career totals — 10 seasons, 2,743 PA	4.1	2,743	39	106	241	331	351	-11	-2	5.3	6.2
/162	664	9	26	-2.7	-0.5	1.3	pk7: 7
#2Jace 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
#3Delino DeShieldslast yr '21 career totals — 7 seasons, 2,114 PA	3.2	2,114	19	111	246	327	342	+1	+6	5.3	5.3
/162	664	6	35	+0.4	+1.8	1.7	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
#5Travis Jankowskilast yr '25 career totals — 9 seasons, 1,718 PA	2.6	1,718	11	100	238	321	309	-9	+11	2.1	2.5
/162	664	4	39	-3.6	+4.2	0.8	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	4.4	2,902	33	120	216	332	294	-32	+0	2.1	2.1
/162	664	7	27	-7.2	+0.0	0.5	pk7: 2
#6Eric Young Jr.last yr '18 career totals — 9 seasons, 1,925 PA	2.9	1,925	13	161	245	312	332	-11	-8	1.2	1.6
/162	664	4	56	-3.9	-2.7	0.4	pk7: 2

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
Player 837521 (OGILVIE)	25	—	—	—	—	206/345/260	54	291	0	3	25%	17%	84	+0.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jeremy Arocho 2024 · A	25	48→44	35→30	61→60	59	218/322/276	58	290	2	31	23%	13%	77	-0.3	211/296/274	63	278	3	27	22%	11%	66	-1.1	199/287/241	42	260	1	35	22%	11%	53	-1.6
✕Blake Rambusch 2024 · A	24	50	38→30	55→65	49	225/319/305	80	329	5	25	30%	10%	82	+0.0	236/317/296	60	304	2	35	21%	9%	79	-0.2	243/319/289	47	302	1	47	18%	9%	75	-0.3
✕Taylor Young 2024 · A	25	45→44	40→30	62→60	52	211/305/301	90	285	7	32	26%	10%	76	-0.4	208/285/280	72	282	4	32	26%	8%	63	-1.3	210/286/275	65	281	4	33	24%	8%	60	-1.3
✕Conner Crumbliss 2012 · A	25	48	39→45	51→50	59	225/323/311	87	282	5	14	21%	12%	85	+0.2	217/314/328	111	263	10	14	20%	11%	86	+0.3	209/307/325	117	245	11	14	19%	11%	81	-0.0
✕Hayden Cantrelle 2024 · AA	25	40	41→40	55→60	55	188/310/287	98	279	7	19	31%	13%	77	-0.3	205/300/300	95	324	7	26	35%	10%	74	-0.5	195/286/284	89	320	5	34	37%	10%	63	-0.7
✕Anthony Granato 2006 · A	25	49→50	39→40	53→55	50	230/306/315	86	310	5	17	26%	10%	79	-0.2	219/298/312	93	307	7	17	28%	9%	76	-0.4	175/283/245	70	255	5	31	30%	12%	55	-0.4
✕Austin Martin 2023 · AA	24	50→55	38→40	57→60	52	230/333/311	81	290	5	25	20%	9%	90	+0.6	242/331/329	87	297	6	24	19%	10%	92	+0.7	256/352/337	81	314	4	22	17%	11%	102	+0.9
✕Daniel Figueroa 2008 · A	25	51→52	35→30	54→55	49	232/311/292	60	317	2	20	25%	9%	76	-0.4	228/313/289	61	316	3	20	26%	9%	76	-0.4	225/317/276	51	310	2	21	25%	9%	72	-0.4
✕Damon Dues 2023 · A	25	53	36→30	55→60	54	238/331/313	75	337	2	18	27%	12%	88	+0.5	220/309/287	67	318	3	24	28%	11%	74	-0.5	216/313/269	53	309	2	36	27%	12%	69	-0.5
✕José Caballero 2023 · AA	26	45	44→45	58→70	60	218/329/337	119	274	12	33	23%	13%	95	+0.9	227/322/342	115	296	10	49	25%	10%	93	+0.8	226/318/339	113	301	10	63	26%	9%	91	+0.4
✕Juan Silva 2015 · A	24	50→47	41→45	56→55	52	236/316/339	103	313	8	29	26%	10%	88	+0.5	220/294/309	89	287	5	17	23%	9%	74	-0.6	204/276/281	78	266	4	10	23%	9%	57	-0.7
✕Tyler Bortnick 2012 · A	25	55→60	40→45	58→55	53	260/346/369	109	311	5	25	17%	9%	106	+1.8	231/308/325	94	292	5	23	21%	8%	82	-0.0	242/309/329	87	306	6	22	21%	8%	80	-0.1
✕Joshua Howard 2007 · A	24	53	37→40	55→60	52	244/319/325	81	317	4	24	23%	9%	86	+0.3	216/288/277	61	312	3	16	28%	9%	63	-1.3	194/269/222	28	291	0	16	30%	9%	42	-1.6
✕Darin Mastroianni 2011 · AA	25	56→60	37→40	61→60	51	260/326/337	77	328	3	36	20%	9%	91	+0.6	241/303/322	81	306	4	34	21%	8%	79	-0.2	231/294/305	74	294	3	39	21%	7%	70	-0.5
✕Delino DeShields 2019 · MLB	26	48→56	39→45	55→65	53	228/312/310	82	295	7	31	23%	10%	80	-0.1	230/308/322	92	304	7	28	24%	10%	82	-0.0	225/308/314	88	303	6	31	25%	10%	77	-0.2
✕Taylor Motter 2014 · A	24	48→49	41→50	53→55	50	228/294/330	102	281	7	24	21%	8%	78	-0.3	233/283/358	125	273	13	18	19%	6%	80	-0.1	198/274/355	157	245	19	5	27%	9%	76	-0.3
✕Andrew Aplin 2016 · AAA	25	53→60	39→40	55	57	249/328/334	84	294	6	25	16%	10%	91	+0.7	216/288/307	91	280	7	18	23%	9%	71	-0.8	196/268/288	91	256	7	13	25%	8%	56	-1.1
✕Kyle Mottice 2021 · A	25	50	36→30	52→55	51	233/334/299	66	281	3	19	17%	8%	88	+0.4	228/289/309	81	290	5	14	22%	6%	71	-0.8	242/295/294	52	300	0	21	18%	6%	65	-0.3
✕Connor Charping 2024 · A	25	46	39→50	55→50	42	215/303/299	84	313	7	18	31%	7%	76	-0.4	234/326/310	76	302	4	14	22%	9%	86	+0.3	238/337/319	82	303	5	15	21%	9%	90	+0.2
✕Hunter Stovall 2022 · A	25	51→50	39→45	54→50	46	239/297/327	87	315	6	19	25%	7%	78	-0.3	235/282/335	100	295	8	15	22%	6%	74	-0.6	234/277/328	95	281	8	14	19%	5%	67	-0.8

Career Stats + Projections

Career Comps

Career Path Comps