Player 837824 — OGILVIE

Player 8378241B DSL Cubs Blue

Age — —/— ROK HR -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION183 act + 25 ros · stats below = ROS only

showingROS

wRC+†80

AVG/OBP/SLG.182 / .280 / .227

PA25

HR0

K%24

BB%12

BABIP281

ISO45

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 2032

Service 0 yrs (est)

Team Control Through 2037

First FA Year 2038

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2032
2027	MiLB	still in minors · estimated debut 2032
2028	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	—	—	—
2033	Pre-Arb	$1.0M	—	—	—
2034	Pre-Arb	$1.0M	—	—	—
2035	Ext	beyond projection horizon · no WAR estimate
2036	Ext	beyond projection horizon · no WAR estimate
2037	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. 2026 = actual YTD + projected ROS + total. 2027+ 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
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
YTD	—	ROK MLE	CHC	—	183	153	32	5	4	3	22	38	3	28	11	209	320	353	673	144	248	21	12	298	88	-3	+1	+0	-3	+4	-0.1
▸ 2026 season
YTD	—	ROK RAW	CHC	—	183	137	39	7	5	3	38	26	3	28	11	285	449	474	924	190	319	14	21	403	88	—	—	—	—	—	—
ROS	—	ROK MLE	CHC	0%	25	22	4	1	0	0	3	6	0	2	1	182	280	227	507	45	276	24	12	287	80	-1	+0	+0	-0	+1	-0.1
TOT	—	ROK MLE	CHC	—	208	175	36	6	4	3	25	44	3	30	12	206	315	337	652	131	248	21	12	297	87	-3	+1	+0	-4	+5	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	CHC	0%	311	274	59	10	4	5	31	76	3	13	3	215	302	336	638	120	278	24	10	291	83	-6	+1	+0	-6	+7	-0.4
2028	25	MLB MLE	CHC	0%	405	358	77	13	5	7	40	98	4	16	4	215	301	338	639	123	279	24	10	294	85	-7	+2	+0	-7	+9	-0.4
2029	25	MLB MLE	CHC	0%	469	415	92	16	6	9	46	113	5	18	4	222	307	354	661	133	279	24	10	297	87	-7	+2	+0	-8	+10	-0.3
2030	25	MLB MLE	CHC	0%	512	451	99	17	6	10	50	123	6	19	5	220	306	350	656	131	279	24	10	299	89	-7	+2	+0	-9	+11	-0.3
2031	25	MLB MLE	CHC	0%	542	478	106	18	7	11	53	130	6	21	5	222	307	358	665	136	279	24	10	300	89	-7	+2	+0	-10	+12	-0.3
2032	25	MLB MLE	CHC	0%	564	497	111	19	7	12	56	135	6	21	5	223	309	362	672	139	279	24	10	301	90	-7	+2	+0	-10	+12	-0.2
2033	25	MLB MLE	CHC	0%	579	510	115	20	7	13	57	139	7	22	5	225	312	369	680	143	279	24	10	302	91	-6	+2	+0	-10	+13	-0.2
2034	25	MLB MLE	CHC	0%	592	521	116	20	7	13	59	142	7	22	6	223	310	363	673	140	278	24	10	303	91	-6	+2	+0	-11	+13	-0.2
2027	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	285	83	—	—	+0	-0	—	—
2028	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	289	85	—	—	+0	-0	—	—
2029	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	291	87	—	—	+0	-0	—	—
2030	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	293	89	—	—	+0	-0	—	—
2031	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	294	89	—	—	+0	-0	—	—
2032	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	295	90	—	—	+0	-0	—	—
2033	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	296	91	—	—	+0	-0	—	—
2034	25	MLB CTX	CHC	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	282	—	—	297	91	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3999	3526	779	134	49	80	395	962	44	154	38	221	307	355	662	134	279	24	10	299	89	-54	+16	+0	-71	+87	-2.4
/ 162G	—	MLE		—	650	573	127	22	8	13	64	156	7	25	6	222	307	356	663	134	280	24	10	299	89	-9	+3	+0	-12	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Will Venablelast yr '15 career totals — 8 seasons, 3,127 PA	4.7	3,127	81	135	251	317	406	-20	-4	8.9	8.7
/162	664	17	29	-4.2	-0.8	1.9	pk7: 9
#2Willie 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
#3Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#4Gregory Polancolast yr '21 career totals — 8 seasons, 3,220 PA	4.8	3,220	96	98	241	309	409	-34	-28	3.8	4.4
/162	664	20	20	-7.1	-5.8	0.8	pk7: 5
#5Tony 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
#6Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.4	4,282	83	163	222	305	355	-48	+0	3.1	3.2
/162	664	13	25	-7.5	+0.0	0.5	pk7: 3

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 837824 (OGILVIE)	25	—	—	—	—	210/299/326	116	276	4	22	25%	10%	80	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Jonathan Davis 2017 · A	25	42→52	46→45	55	45	207/293/340	133	287	12	21	30%	8%	81	-0.1	221/300/334	113	289	9	19	25%	8%	82	-0.0	221/304/328	106	311	9	22	29%	9%	79	-0.1
✕Justin Dean 2021 · A	24	47→49	42→45	58→65	44	222/293/331	108	316	8	23	30%	8%	78	-0.3	203/281/302	99	319	8	27	36%	8%	68	-1.0	212/292/295	83	324	7	47	34%	9%	67	-0.7
✕Dylan Moore 2017 · A	24	44→48	44→50	54→65	47	216/295/339	123	274	11	23	24%	8%	81	-0.1	209/275/329	120	265	11	18	25%	7%	71	-0.8	207/330/379	172	285	16	41	30%	12%	101	+0.7
✕Allen Córdoba 2021 · A	25	47→52	40→45	53→55	40	228/277/321	93	297	7	20	25%	5%	70	-0.9	229/299/337	108	283	9	16	21%	6%	82	+0.0	227/303/337	110	275	9	18	20%	6%	82	+0.0
✕Nate Eaton 2022 · A	25	40→50	40→45	55→60	43	197/264/288	91	273	7	19	29%	7%	57	-1.8	216/270/336	120	285	13	28	28%	6%	71	-0.8	213/270/337	124	278	12	27	27%	6%	68	-0.7
✕Mario Lisson 2008 · A	24	47→49	42→50	52→55	43	226/287/335	108	297	9	19	26%	6%	76	-0.4	206/252/317	111	266	11	17	26%	5%	59	-1.6	230/303/360	129	300	15	8	27%	8%	88	+0.3
✕Phillip Ervin 2017 · AA	25	42→51	44→50	55	48	207/286/327	120	254	12	25	23%	8%	76	-0.4	228/295/356	128	288	12	22	24%	7%	84	+0.2	235/299/371	136	298	13	21	24%	7%	86	+0.3
✕Shawn Payne 2014 · A	25	47→57	40	56→55	48	225/296/321	96	287	6	24	23%	8%	77	-0.3	213/283/315	102	293	7	16	28%	8%	71	-0.8	203/278/305	103	285	7	17	29%	8%	63	-0.9
✕Taylor Motter 2014 · A	24	48→50	41→55	53→55	50	230/296/333	103	284	7	24	21%	8%	80	-0.2	231/281/350	119	272	12	18	19%	6%	78	-0.3	208/287/374	165	259	20	5	27%	10%	85	+0.1
✕José Caballero 2021 · A	24	46	41→45	52→70	47	220/294/324	104	280	8	25	24%	8%	77	-0.3	221/324/338	117	285	11	35	24%	11%	93	+0.8	225/318/339	113	300	10	63	26%	9%	88	+0.3
✕Hunter Stovall 2022 · A	25	52→49	39→45	54→50	46	243/301/332	89	319	6	19	25%	7%	80	-0.1	232/280/333	101	293	8	15	23%	6%	73	-0.6	227/272/322	96	275	8	14	20%	6%	64	-0.9
✕Daniel Lyons 2010 · A	25	44→48	40→45	51→50	50	209/293/306	97	268	7	15	23%	9%	73	-0.6	199/284/276	77	275	4	12	27%	9%	63	-1.4	176/273/228	52	251	2	11	27%	10%	47	-1.5
✕Cade Gotta 2017 · AA	25	46→52	42→45	56→55	42	225/269/333	108	283	8	21	23%	5%	69	-0.9	238/291/337	99	302	6	29	22%	7%	78	-0.3	244/303/339	95	309	5	36	21%	8%	81	-0.0
●Alonzo Harris 2013 · A	24	48→52	40→50	55→60	43	230/275/324	95	288	7	21	22%	5%	69	-0.9	212/263/299	87	280	6	22	25%	6%	59	-1.7	235/293/404	169	279	20	36	23%	7%	93	+0.7
✕Lane Adams 2015 · AA	25	46	43→45	57→60	43	224/279/338	114	287	10	27	25%	6%	74	-0.5	228/281/349	121	306	12	31	28%	6%	77	-0.3	227/280/350	123	310	14	36	30%	6%	74	-0.4
✕Jared Oliva 2019 · A	23	46→48	42→45	56→65	42	222/289/334	112	305	9	24	29%	7%	78	-0.3	221/279/318	97	306	7	25	28%	6%	70	-0.9	223/290/349	126	282	12	55	24%	7%	77	-0.2
✕Ryan LaMarre 2014 · AA	25	47→52	39→45	52→60	45	227/288/313	86	291	7	23	24%	6%	72	-0.7	219/273/317	98	296	9	17	28%	6%	67	-1.1	236/307/362	126	336	11	23	31%	7%	87	+0.2
✕Adalberto Santos 2012 · A	24	51→54	43→45	59→55	48	246/306/367	121	297	8	21	20%	7%	91	+0.6	255/316/349	94	318	6	20	20%	7%	90	+0.6	259/323/341	82	327	5	21	21%	8%	88	+0.2
✕Tyler Saladino 2014 · AAA	25	44→47	39→45	55	48	210/281/298	88	271	7	23	24%	8%	66	-1.1	238/289/340	102	291	9	23	20%	6%	78	-0.3	253/298/364	112	301	10	25	19%	5%	85	+0.2
✕Brad McElroy 2011 · A	25	45→55	41→45	55	45	219/282/321	102	288	8	17	26%	7%	72	-0.7	230/289/317	87	299	5	21	23%	6%	73	-0.6	238/299/314	76	305	3	29	22%	6%	73	-0.3

Career Stats + Projections

Career Comps

Career Path Comps