Player 837234 — OGILVIE

Player 8372341B DSL Cubs Blue

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

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 86 proj PA

wRC+†68

AVG/OBP/SLG.222 / .290 / .291

PA86

HR0

K%22

BB%7

ISO69

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 Cubs Blue	—	114	93	25	3	1	0	13	7	4	5	2	269	382	323	704	54	278	6	11	320	40	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Cubs Blue	—	114	97	18	2	1	0	9	9	4	5	2	186	282	227	509	41	182	8	8	228	40	—	—	—	—	—	—
2026	—	ROK MLE	DSL Cubs Blue	—	114	97	18	2	1	0	9	9	4	5	2	186	282	227	509	41	196	8	8	228	40	—	—	—	—	—	—
2026	—	ROK RAW	DSL Cubs Blue	—	114	93	25	3	1	0	13	7	4	5	2	269	382	323	704	54	278	6	11	320	40	—	—	—	—	—	—
2026	25	ROK MLE	DSL Cubs Blue	—	114	100	18	2	1	0	9	9	4	5	2	180	282	220	502	40	182	8	8	228	40	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Cubs Blue	—	114	100	18	2	1	0	9	9	4	5	2	180	282	220	502	40	182	8	8	228	40	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	CHC	0%	200	181	41	6	2	1	14	45	3	4	1	224	292	293	585	69	288	22	7	268	68	-8	+0	+0	-4	+4	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	CHC	0%	149	135	30	4	1	1	11	33	2	4	1	226	294	302	595	76	288	22	7	272	70	-5	+0	+0	-3	+3	-0.4
2028	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	228	296	307	603	79	292	—	—	275	70	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	349	311	65	8	3	1	26	61	7	11	3	209	285	264	549	55	252	17	7	257	60	-9	+1	+0	-4	+5	-0.7
/ 162G	—	MLE		—	650	579	122	15	6	2	48	114	13	20	6	211	285	268	553	57	254	18	7	257	60	-24	+2	+0	-12	+14	-1.9

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
#2Travis 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
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	0.4	235	2	6	226	291	300	-3	+0	-0.4	-0.2
/162	664	5	16	-8.8	+0.0	-1.1	pk7: 0
#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
#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 837234 (OGILVIE)	25	—	—	—	—	222/290/291	69	288	0	2	22%	7%	68	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Chris Rotondo 2024 · A	25	44→40	41→45	57→50	45	204/294/311	108	309	7	12	33%	9%	75	-0.5	207/276/301	94	329	8	13	37%	7%	65	-1.2	194/256/265	71	324	7	16	40%	6%	46	-1.6
✕Duke Sardinha 2006 · A	25	42→33	40→50	46→45	45	206/264/301	94	266	8	8	25%	7%	60	-1.6	199/246/325	126	276	14	6	32%	5%	59	-1.6	191/239/324	133	257	16	5	32%	5%	54	-1.1
✕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
✕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
✕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
✕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
✕Stephen Wickens 2014 · A	25	48→45	37→40	51→55	50	222/299/303	80	269	4	14	18%	8%	74	-0.5	219/280/293	74	275	4	16	20%	7%	64	-1.3	222/278/280	58	278	2	20	19%	6%	58	-0.8
✕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
✕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
✕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
✕Michael Helman 2021 · A	25	42	39→50	45→55	43	204/247/289	85	247	6	8	20%	5%	50	-2.3	211/270/356	145	257	17	21	24%	7%	76	-0.4	215/276/356	141	263	17	28	25%	7%	74	-0.3
✕Will Piwnica-Worms 2014 · A	24	44	38→40	49→50	50	207/287/286	78	267	5	9	23%	9%	65	-1.2	209/275/301	92	287	8	8	28%	7%	65	-1.2	182/244/266	84	253	9	5	30%	6%	45	-1.0
✕Camden Duzenack 2019 · A	24	39→36	39→50	46→50	41	191/253/277	87	252	5	11	26%	5%	51	-2.3	186/241/309	123	254	15	9	32%	5%	54	-2.0	211/258/338	126	272	14	10	27%	5%	64	-0.6
✕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 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
✕Nick Vickerson 2014 · A	25	37	42→40	49→50	48	187/274/289	103	259	10	13	30%	10%	63	-1.4	200/295/298	98	281	9	11	29%	10%	72	-0.7	182/296/265	82	256	7	11	28%	12%	63	-0.8
✕Tanner Allen 2023 · A	25	37	39→45	48→45	43	183/236/269	86	224	6	5	22%	5%	42	-2.9	214/269/316	102	264	9	8	22%	6%	65	-1.2	219/276/322	104	265	11	9	21%	6%	65	-0.6
✕T.J. White 2017 · AA	25	43→45	39→45	51→45	43	207/269/295	88	267	6	10	24%	6%	61	-1.5	210/269/336	126	273	12	6	27%	6%	70	-0.8	202/262/345	143	255	15	2	27%	5%	68	-0.5
✕Mark Thompson 2009 · A	24	42	39→45	52→50	43	204/263/288	84	255	6	12	22%	5%	57	-1.8	215/277/324	109	277	11	11	25%	6%	71	-0.8	208/277/322	114	268	13	11	26%	6%	68	-0.7
✕Matt Thayer 2007 · A	25	49→45	38→40	50	46	230/290/312	82	295	5	14	23%	7%	72	-0.7	226/293/298	72	303	4	12	25%	8%	70	-0.8	231/308/275	44	315	2	12	24%	8%	68	-0.5

Career Stats + Projections

Career Comps

Career Path Comps