Player 837750 — OGILVIE

Player 8377501B DSL Tampa Bay

Age — —/— ROK Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 172 proj PA

wRC+76

AVG/OBP/SLG.235 / .300 / .308

PA172

HR1

SB5

K%22

BB%7

ISO73

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 80 / POW 29

Toolsscout grade

CONTACT80

scouting grade only

POWER29

scouting grade only

EYE48

scouting grade only

SPEED67

scouting grade only

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	Ext	beyond projection horizon · no WAR estimate
2030	Ext	beyond projection horizon · no WAR estimate
2031	Ext	beyond projection horizon · no WAR estimate
2032	Ext	beyond projection horizon · no WAR estimate
2033	Ext	beyond projection horizon · no WAR estimate
2034	Ext	beyond projection horizon · no WAR estimate
2035	Ext	beyond projection horizon · no WAR estimate
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 Tampa Bay	—	238	196	61	10	0	1	26	11	8	33	9	311	411	378	789	66	314	5	11	354	57	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Tampa Bay	—	238	205	45	7	0	1	18	13	8	33	9	220	307	268	576	49	209	5	8	252	57	—	—	—	—	—	—
2026	—	ROK MLE	DSL Tampa Bay	—	238	205	45	7	0	1	18	13	8	33	9	220	307	268	576	49	222	5	8	252	57	—	—	—	—	—	—
2026	—	ROK RAW	DSL Tampa Bay	—	238	196	61	10	0	1	26	11	8	33	9	311	411	378	789	66	314	5	11	354	57	—	—	—	—	—	—
2026	25	ROK MLE	DSL Tampa Bay	—	238	210	45	7	0	1	18	13	8	33	9	214	307	262	569	48	209	5	8	252	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Tampa Bay	—	238	210	45	7	0	1	18	13	8	33	9	214	307	262	569	48	209	5	8	252	57	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	—	0%	288	262	63	10	2	2	20	63	4	9	1	237	303	311	614	73	302	22	7	280	76	-8	+1	+0	-5	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	—	0%	222	201	48	8	1	2	16	48	3	6	1	238	304	319	623	80	301	22	7	284	78	-6	+1	+0	-4	+5	-0.4
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	238	304	319	623	80	301	—	—	284	78	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	632	561	130	21	2	4	46	98	14	44	11	232	306	298	604	66	269	16	7	271	69	-11	+1	+0	-7	+9	-0.8
/ 162G	—	MLE		—	650	577	134	22	2	4	47	101	14	45	11	232	305	298	603	66	270	16	7	271	69	-18	+2	+0	-12	+14	-1.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
#2Alexi Casillalast yr '13 career totals — 7 seasons, 1,883 PA	2.8	1,883	12	80	248	302	332	+8	+3	2.7	2.7
/162	664	4	28	+2.8	+0.9	1.0	pk7: 3
#3Travis 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
#4Eric 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
#5Nick 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 2 projected seasons	0.6	394	3	12	239	301	317	-5	+0	-0.2	-0.1
/162	664	5	20	-9.2	+0.0	-0.3	pk7: 0
#6Abraham Torolast yr '25 career totals — 6 seasons, 1,561 PA	2.4	1,561	39	16	220	282	351	-1	-8	-0.5	-0.5
/162	664	17	7	-0.2	-3.2	-0.2	pk7: -0

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 837750 (OGILVIE)	25	80	29	67	48	235/300/308	73	302	1	5	22%	7%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Liles 2012 · A	25	54→62	36→30	52→50	44	255/288/326	71	299	2	13	16%	4%	73	-0.6	238/284/304	66	293	3	10	19%	6%	67	-1.1	248/296/280	32	305	0	9	18%	6%	61	-0.7
✕Sebastien Boucher 2007 · AA	25	54→64	37→40	56→55	50	249/317/327	79	326	4	21	23%	9%	85	+0.2	231/296/322	91	307	7	16	25%	8%	76	-0.4	226/293/318	91	300	7	15	25%	8%	71	-0.5
✕Leonardo Reginatto 2015 · AA	25	57→62	34→30	50→45	48	264/318/320	56	320	1	10	17%	6%	83	+0.1	246/290/312	66	300	3	6	18%	5%	71	-0.8	246/287/309	63	300	3	3	18%	5%	67	-0.8
✕Michael Spidale 2007 · AAA	25	56→66	36→40	54→55	48	261/310/325	64	300	3	19	14%	6%	82	-0.0	262/304/344	82	298	5	19	13%	5%	84	+0.1	293/329/356	63	335	3	21	13%	4%	91	+0.6
✕Greg Miclat 2012 · AA	25	55→61	35→30	58→60	46	253/310/317	64	330	2	27	23%	7%	80	-0.1	232/292/298	66	305	3	23	23%	7%	70	-0.9	206/270/259	53	272	2	20	23%	8%	50	-1.0
✕Wynton Bernard 2016 · AA	25	56→60	39→45	56→60	44	267/308/359	92	324	5	27	19%	5%	88	+0.5	240/282/330	90	300	6	27	21%	5%	72	-0.7	245/290/364	119	296	10	37	20%	5%	81	-0.1
✕Tyler Holt 2014 · AA	25	50→60	36→40	56→55	46	231/286/300	70	297	2	20	22%	7%	67	-1.1	254/318/321	67	327	2	24	21%	8%	84	+0.2	263/336/322	59	341	1	27	21%	9%	88	+0.3
✕Tony Renda 2016 · AA	25	55→59	36→40	52→50	49	255/304/330	75	291	2	17	13%	6%	80	-0.1	249/290/332	83	285	4	15	14%	5%	76	-0.4	253/292/336	83	291	4	14	14%	4%	75	-0.3
✕Jose Constanza 2009 · AA	25	54→64	35→40	59→60	46	254/299/321	67	314	2	26	19%	6%	76	-0.4	272/319/336	64	322	2	32	15%	7%	87	+0.4	288/334/346	58	335	2	37	14%	6%	91	+0.6
✕Levi Michael 2016 · AA	25	50→59	40→45	57→55	48	234/303/334	100	301	6	21	23%	8%	82	+0.0	224/286/318	94	308	7	12	28%	6%	72	-0.7	226/291/335	109	312	10	11	29%	5%	75	-0.3
✕Daniel Robertson 2011 · A	25	54→58	40	53→55	50	258/313/356	98	288	6	16	13%	7%	91	+0.6	251/307/339	88	289	4	17	14%	6%	84	+0.1	256/315/331	76	300	2	19	15%	7%	82	+0.0
✕Austin Wates 2014 · AAA	25	54→58	40	56→55	44	258/311/353	95	317	6	22	20%	6%	89	+0.5	239/295/315	76	302	3	24	20%	6%	74	-0.5	238/294/301	63	301	2	27	20%	6%	67	-0.7
✕Tyson Auer 2011 · AAA	25	54→60	38→40	58→60	42	254/298/336	82	328	5	30	23%	5%	80	-0.2	237/272/315	78	314	4	23	24%	4%	65	-1.2	252/276/316	64	336	1	27	25%	3%	61	-0.9
✕Eury Pérez 2015 · AAA	25	59→68	39→40	59→65	41	281/318/371	90	337	6	33	18%	3%	95	+1.0	264/309/347	83	326	5	37	20%	4%	86	+0.3	291/327/377	87	353	3	37	18%	4%	97	+0.3
✕Maikol Gonzalez 2011 · A	25	51→55	37→40	53→60	47	236/295/318	82	304	2	17	22%	7%	75	-0.5	219/288/301	82	306	4	16	27%	8%	69	-0.9	252/320/300	48	300	1	35	15%	9%	77	-0.2
✕Jacob Young 2023 · A	24	48→57	36→40	62→60	47	224/291/290	66	287	3	28	22%	7%	68	-1.0	246/305/325	79	305	4	32	19%	6%	80	-0.1	242/306/331	89	291	7	29	18%	7%	83	+0.1
✕Mike Freeman 2013 · A	25	53→59	36→45	56→55	47	247/298/312	66	304	3	17	19%	7%	74	-0.5	235/289/308	73	290	3	17	19%	7%	70	-0.8	263/311/342	80	334	4	12	21%	6%	83	+0.1
✕Jordan Henry 2012 · AA	24	59→66	33→30	54→55	54	272/339/313	41	340	1	24	19%	10%	90	+0.6	252/315/309	57	306	3	16	17%	8%	80	-0.1	267/329/295	28	313	0	12	13%	8%	79	-0.1
✕Ryan Bear 2006 · A	25	53→56	37→40	53→45	46	250/304/329	79	310	4	15	20%	6%	81	-0.1	226/282/317	91	284	8	7	22%	7%	70	-0.8	216/274/306	89	269	9	3	22%	7%	62	-1.1
✕Tim Lopes 2019 · AAA	25	55→61	38→45	52→55	46	258/304/344	86	315	4	19	19%	6%	84	+0.1	239/292/354	115	304	9	22	23%	6%	82	+0.0	227/286/350	124	291	11	23	25%	7%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps