Player 837690 — OGILVIE

Player 8376901B DSL Tigers 1

Age — —/— ROK HR -8% Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 121 proj PA

wRC+†54

AVG/OBP/SLG.197 / .268 / .263

PA121

HR1

K%30

BB%7

ISO67

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

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	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 Tigers 1	—	182	147	35	6	1	0	24	42	6	7	5	238	367	293	660	54	321	23	13	307	30	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Tigers 1	—	182	155	25	4	1	0	16	51	6	7	5	161	266	200	466	39	215	28	9	212	30	—	—	—	—	—	—
2026	—	ROK MLE	DSL Tigers 1	—	182	155	25	4	1	0	16	51	6	7	5	161	266	200	466	39	231	28	9	212	30	—	—	—	—	—	—
2026	—	ROK RAW	DSL Tigers 1	—	182	147	35	6	1	0	24	42	6	7	5	238	367	293	660	54	321	23	13	307	30	—	—	—	—	—	—
2026	25	ROK MLE	DSL Tigers 1	—	182	158	25	4	1	0	16	51	6	7	5	158	266	196	462	38	215	28	9	212	30	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Tigers 1	—	182	158	25	4	1	0	16	51	6	7	5	158	266	196	462	38	215	28	9	212	30	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	DET	0%	232	210	42	7	2	1	17	70	3	4	1	199	270	265	536	67	288	30	7	248	54	-13	+0	+0	-4	+5	-0.4
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	DET	0%	184	165	33	5	1	2	14	55	3	4	1	202	274	277	551	75	288	30	8	253	58	-9	+0	+0	-3	+4	-0.8
2028	25	MLB CTX	DET	0%	0	0	0	0	0	0	0	0	0	0	0	199	271	272	543	73	283	—	—	250	58	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	487	429	80	12	3	3	39	143	11	13	7	186	271	249	521	63	266	29	8	237	46	-16	+0	+0	-5	+7	-1.5
/ 162G	—	MLE		—	650	573	107	16	4	4	52	191	15	17	9	187	272	250	522	63	267	29	8	237	46	-34	+1	+0	-12	+14	-3.1

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#2Adam Rosaleslast yr '17 career totals — 9 seasons, 1,756 PA	2.6	1,756	47	16	227	293	367	+6	+8	3.0	3.5
/162	664	18	6	+2.4	+3.0	1.1	pk7: 4
#3Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2
#4Nick 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
#5Abraham 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.5	305	2	6	201	270	274	-4	+0	-1.0	-0.5
/162	664	5	13	-9.0	+0.0	-2.2	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	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
Player 837690 (OGILVIE)	25	—	—	—	—	197/268/263	66	288	1	2	30%	7%	54	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andrés Alvarez 2021 · A	24	41→32	37→45	48→50	42	194/258/268	74	273	4	7	29%	6%	51	-2.3	203/269/323	120	290	13	15	33%	8%	68	-1.0	184/253/304	120	257	14	15	33%	8%	56	-1.0
✕Matt Pita 2021 · A	24	38	37→50	49→55	36	183/235/261	77	267	3	10	31%	4%	40	-3.1	200/260/334	134	278	14	16	32%	5%	68	-1.0	183/246/324	141	255	15	27	33%	5%	57	-0.6
✕Connor Blair 2022 · A	24	37	39→45	48→45	45	178/254/257	79	269	6	11	34%	9%	47	-2.5	194/282/305	111	306	12	8	37%	10%	69	-0.9	148/263/256	108	232	14	5	39%	12%	50	-0.8
✕Chris Roller 2022 · AA	25	40	39→45	53→55	40	192/250/279	87	274	5	16	31%	6%	50	-2.3	189/266/297	108	285	10	16	35%	8%	61	-1.5	173/257/287	114	273	12	16	38%	8%	54	-1.2
✕Travis Becktel 2008 · A	25	43→36	40	49→50	42	206/268/304	98	294	7	15	31%	7%	62	-1.4	205/257/312	107	300	8	15	32%	6%	60	-1.6	190/230/303	113	281	7	19	34%	4%	44	-1.0
✕Jackson Glenn 2023 · A	25	41	38→40	52→45	40	197/254/282	85	291	5	11	32%	6%	52	-2.2	203/250/304	101	279	10	8	30%	5%	55	-1.9	197/242/299	102	261	11	6	28%	5%	48	-1.3
✕Nick Meyer 2021 · A	24	36	36→40	52→50	41	177/235/240	63	250	4	15	30%	6%	35	-3.4	215/285/296	81	280	8	14	24%	8%	67	-1.1	210/285/284	74	270	8	16	24%	8%	62	-0.6
✕Tyler Reichenborn 2023 · A	25	41→43	39→45	47→50	45	199/272/283	84	272	8	13	28%	8%	59	-1.6	209/279/316	107	283	11	11	28%	8%	70	-0.9	174/252/307	134	221	17	8	29%	8%	56	-0.5
✕Dylan Neuse 2023 · A	24	36	39→40	49→50	44	178/253/255	77	262	8	14	33%	8%	47	-2.6	205/278/293	88	286	6	12	28%	9%	64	-1.3	205/285/293	88	279	5	13	26%	9%	65	-0.6
✕Huascar Fuentes 2017 · A	25	39	39→45	49→45	40	188/257/278	90	253	6	7	27%	5%	53	-2.1	195/250/270	75	280	3	6	30%	5%	48	-2.5	165/211/221	56	238	0	2	29%	3%	19	-1.1
✕Logan Warmoth 2021 · AA	25	44→40	37→40	53→55	41	200/269/277	76	312	4	13	34%	7%	57	-1.8	197/277/296	99	311	9	20	36%	8%	65	-1.2	187/271/285	97	288	9	24	35%	8%	58	-1.1
✕Matt Whatley 2021 · A	25	39→37	38→40	52→50	46	189/263/263	75	259	5	15	28%	8%	52	-2.2	193/256/274	81	275	8	10	31%	7%	51	-2.2	172/233/253	81	229	10	8	29%	6%	36	-1.2
✕Ashford Fulmer 2017 · A	24	38	36→40	51→50	37	179/247/242	63	296	3	13	38%	6%	41	-3.0	203/264/279	76	288	4	12	29%	6%	55	-1.9	197/261/265	68	273	2	15	26%	6%	47	-1.2
✕Michael Suiter 2016 · A	24	40→38	37→40	49→50	38	194/244/266	72	257	5	12	26%	4%	45	-2.7	212/266/304	92	291	9	10	29%	5%	61	-1.5	213/272/311	97	295	12	8	30%	6%	63	-0.5
✕Chad Christensen 2016 · A	25	43→44	38→40	53→55	38	205/255/282	77	304	5	16	33%	6%	52	-2.2	204/256/286	82	314	6	15	35%	6%	53	-2.1	152/203/215	63	237	8	18	38%	5%	14	-1.1
✕Chris Paul 2017 · A	24	40→37	38→40	52→40	36	194/241/271	78	282	5	5	32%	4%	44	-2.8	218/260/314	96	295	7	4	27%	4%	61	-1.5	228/265/331	103	298	8	2	26%	3%	65	-0.7
✕Tyler Stubblefield 2013 · A	25	42	38→45	51→50	46	199/275/280	82	259	6	12	24%	7%	60	-1.6	213/267/316	103	260	8	9	21%	6%	65	-1.2	211/249/324	113	245	8	5	17%	4%	55	-0.8
✕Robbie Shields 2013 · A	25	43→38	39→40	47→45	45	207/262/298	91	262	6	8	23%	6%	58	-1.7	196/248/273	77	272	4	7	28%	6%	47	-2.5	176/222/238	61	248	2	5	28%	5%	26	-2.5
✕Marcus Knecht 2015 · A	25	39→42	42→45	48→50	40	194/255/300	106	273	8	7	31%	6%	57	-1.8	193/261/277	84	281	4	11	30%	7%	54	-2.0	167/243/236	69	251	2	13	31%	7%	36	-2.6
✕Justin Twine 2021 · AA	25	46→33	38→40	48→50	37	218/259/301	83	300	5	10	29%	4%	57	-1.8	210/252/315	105	363	9	17	42%	4%	59	-1.7	191/223/297	106	362	9	25	48%	2%	42	-1.2

Career Stats + Projections

Career Comps

Career Path Comps