Player 837600 — OGILVIE

Player 8376001B DSL Arizona Red

Age — —/— ROK Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION192 act + 26 ros · stats below = ROS only

showingROS

wRC+97

AVG/OBP/SLG.182 / .308 / .227

PA26

HR0

K%23

BB%12

BABIP283

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	DSL Arizona Red	—	192	147	34	8	2	3	22	33	19	15	5	231	399	374	773	143	270	17	11	332	111	+2	+1	+0	-3	+4	0.4
▸ 2026 season
YTD	—	ROK RAW	DSL Arizona Red	—	192	132	40	11	2	3	37	23	19	15	5	303	511	485	995	182	336	12	19	443	111	—	—	—	—	—	—
ROS	—	ROK MLE	—	0%	26	22	4	1	0	0	3	6	1	1	0	182	308	227	535	45	283	23	12	311	97	-0	+0	+0	-0	+1	0.0
TOT	—	ROK MLE	—	—	218	169	38	9	2	3	25	39	20	16	5	225	388	355	743	130	267	18	11	329	109	+2	+1	+0	-4	+5	0.4
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	—	0%	318	271	60	13	2	5	31	72	13	10	2	221	330	339	670	118	280	23	10	307	94	-2	+1	+0	-6	+7	0.0
2028	25	MLB MLE	—	0%	410	353	78	16	3	7	39	93	15	13	3	221	324	343	667	122	281	23	10	310	96	-2	+1	+0	-7	+9	0.1
2029	25	MLB MLE	—	0%	472	407	91	19	3	9	45	107	17	15	4	224	326	351	678	128	281	23	10	312	97	-2	+1	+0	-8	+10	0.2
2030	25	MLB MLE	—	0%	514	442	101	21	4	10	49	116	18	17	4	229	330	362	692	133	281	23	10	313	98	-1	+2	+0	-9	+11	0.3
2031	25	MLB MLE	—	0%	544	468	106	22	4	11	52	123	19	18	4	226	328	361	689	135	281	23	10	314	99	-1	+2	+0	-10	+12	0.3
2032	25	MLB MLE	—	0%	565	486	111	23	4	12	54	128	20	19	4	228	330	366	697	138	281	23	10	315	100	-0	+2	+0	-10	+12	0.4
2033	25	MLB MLE	—	0%	580	498	114	23	4	13	56	131	21	19	5	229	332	369	702	141	281	23	10	316	100	+0	+2	+0	-10	+13	0.4
2034	25	MLB MLE	—	0%	592	509	116	24	4	13	57	134	21	19	5	228	330	367	698	139	281	23	10	317	101	+1	+2	+0	-11	+13	0.5
2027	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	280	—	—	307	94	—	—	+0	-0	—	—
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	310	96	—	—	+0	-0	—	—
2029	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	312	97	—	—	+0	-0	—	—
2030	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	313	98	—	—	+0	-0	—	—
2031	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	314	99	—	—	+0	-0	—	—
2032	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	315	100	—	—	+0	-0	—	—
2033	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	316	100	—	—	+0	-0	—	—
2034	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	281	—	—	317	101	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	4021	3456	781	162	28	80	386	910	145	131	31	226	329	359	688	133	282	23	10	314	98	-7	+14	+0	-72	+87	2.2
/ 162G	—	MLE		—	650	559	127	26	5	13	62	147	23	21	5	227	329	361	690	134	284	23	10	314	98	-1	+2	+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
#2Desmond Jenningslast yr '16 career totals — 6 seasons, 2,327 PA	3.5	2,327	55	93	245	323	394	-9	+10	8.1	8.1
/162	664	16	27	-2.5	+2.7	2.3	pk7: 8
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.5	4,311	84	140	227	326	359	-48	+0	7.9	7.7
/162	664	13	22	-7.5	+0.0	1.2	pk7: 8
#3Willie 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
#4Robbie Grossmanlast yr '24 career totals — 12 seasons, 4,561 PA	6.9	4,561	93	67	242	345	374	-49	-62	5.0	6.1
/162	664	14	10	-7.1	-9.0	0.7	pk7: 7
#5Michael 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
#6Gregory 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

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 837600 (OGILVIE)	25	—	—	—	—	218/335/332	114	283	4	14	23%	10%	97	+0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Scott Sizemore 2009 · A	24	47→55	40→50	50	50	225/297/324	100	277	6	14	20%	8%	78	-0.3	248/317/383	135	311	12	12	23%	8%	99	+1.3	254/330/399	145	320	13	10	23%	9%	104	+1.5
✕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
✕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
●TJ Friedl 2021 · AA	25	46→54	41→50	54→55	48	221/299/322	101	283	7	19	23%	8%	79	-0.2	234/304/371	137	273	13	17	19%	7%	91	+0.7	249/340/389	140	279	15	18	16%	10%	106	+1.6
✕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
✕Marty Costes 2021 · A	25	46→56	43→45	50	48	223/297/336	113	267	10	9	20%	7%	81	-0.1	246/327/353	107	315	8	14	23%	8%	96	+1.0	247/334/354	107	319	8	16	23%	8%	96	+0.5
✕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
✕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
✕Collin Cowgill 2010 · A	24	47→57	42→50	52→55	43	223/292/336	113	310	9	11	29%	7%	79	-0.2	253/310/376	123	308	10	20	20%	7%	94	+0.9	259/315/377	118	312	10	23	19%	7%	93	+0.7
●Jordan Parraz 2009 · A	24	51→56	43→45	50	46	247/314/362	115	311	9	17	23%	7%	93	+0.8	255/320/378	123	313	10	9	21%	6%	99	+1.3	259/323/385	126	317	10	6	20%	6%	98	+0.9
✕Danny Muno 2013 · A	24	49→51	41→45	54→50	52	231/310/331	100	297	7	18	23%	10%	84	+0.2	230/313/336	106	292	9	12	23%	10%	87	+0.4	226/311/326	100	286	10	11	23%	10%	81	-0.0
✕Joey Rickard 2014 · A	23	46→56	41→45	52→55	48	219/300/322	104	288	7	16	25%	8%	79	-0.2	241/315/332	91	308	5	16	21%	9%	86	+0.3	257/331/345	87	321	4	17	19%	9%	93	+0.4
✕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
✕Tucker Bradley 2022 · A	24	48→53	41→45	54→50	46	227/299/335	107	310	8	11	28%	8%	81	-0.1	243/306/369	126	316	11	15	25%	8%	91	+0.7	250/313/384	134	318	12	17	24%	8%	95	+0.6
✕Jason Rogers 2013 · A	25	50→53	43→50	50→45	49	240/306/359	118	301	10	8	23%	8%	89	+0.5	247/306/393	146	295	16	6	21%	8%	97	+1.1	251/312/408	157	293	18	4	20%	8%	100	+1.1
●Rafael Lantigua 2022 · A	24	45→55	45	53→55	45	223/287/353	130	295	13	20	28%	8%	81	-0.1	247/317/352	105	324	8	18	24%	9%	91	+0.7	251/326/344	93	326	6	18	23%	9%	90	+0.5
✕Rolando Acosta 2008 · A	25	45→55	41→50	51→45	44	219/279/316	97	283	8	8	25%	7%	69	-0.9	252/301/349	97	306	6	17	19%	6%	84	+0.2	269/312/404	135	308	11	10	16%	4%	98	+0.6
✕Ed Lucas 2007 · A	25	50→56	38→45	51→50	45	239/287/320	80	298	5	16	21%	6%	72	-0.7	243/295/339	96	305	8	15	22%	7%	80	-0.2	249/314/362	113	308	11	15	22%	8%	90	+0.4
✕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
✕Chris Heisey 2009 · AA	24	49→52	43→55	56→55	47	238/296/354	115	284	9	18	19%	6%	84	+0.2	246/304/399	153	290	17	14	21%	6%	98	+1.2	248/306/418	171	286	22	13	21%	6%	100	+0.9

Career Stats + Projections

Career Comps

Career Path Comps