Player 836610 — OGILVIE

Player 8366101B DSL Athletics

Age — —/— ROK HR -5% Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 141 proj PA

wRC+†71

AVG/OBP/SLG.223 / .300 / .286

PA141

HR1

K%25

BB%9

ISO64

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 66 / POW 28

Toolsscout grade

CONTACT66

scouting grade only

POWER28

scouting grade only

EYE64

scouting grade only

SPEED58

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 Athletics	—	205	166	49	6	0	0	36	24	3	18	10	295	429	331	761	36	345	12	18	361	58	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL Athletics	—	205	177	36	4	0	0	25	29	3	18	10	203	312	226	538	23	243	14	12	254	58	—	—	—	—	—	—
2026	—	ROK MLE	DSL Athletics	—	205	177	36	4	0	0	25	29	3	18	10	203	312	226	538	23	243	14	12	254	58	—	—	—	—	—	—
2026	—	ROK RAW	DSL Athletics	—	205	166	49	6	0	0	36	24	3	18	10	295	429	331	761	36	345	12	18	361	58	—	—	—	—	—	—
2026	25	ROK MLE	DSL Athletics	—	205	175	36	4	0	0	25	29	3	18	10	206	312	229	541	23	243	14	12	254	58	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL Athletics	—	205	175	36	4	0	0	25	29	3	18	10	206	312	229	541	23	243	14	12	254	58	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	OAK	0%	255	228	51	7	1	2	23	64	2	6	1	225	302	289	591	64	302	25	9	273	71	-9	+1	+0	-5	+6	-0.2
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	OAK	0%	199	177	41	6	1	2	18	50	2	5	1	226	304	298	601	71	302	25	9	277	73	-6	+1	+0	-4	+4	-0.5
2028	25	MLB CTX	OAK	0%	0	0	0	0	0	0	0	0	0	0	0	232	309	307	616	75	310	—	—	283	73	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	545	480	106	14	2	3	56	114	6	26	12	221	310	277	587	56	282	21	10	267	67	-11	+1	+0	-6	+7	-0.9
/ 162G	—	MLE		—	650	572	127	17	2	4	67	136	7	31	14	222	311	280	590	58	283	21	10	267	67	-21	+2	+0	-12	+14	-1.8

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	0.5	340	2	8	226	301	295	-5	+0	-0.4	-0.2
/162	664	5	15	-9.1	+0.0	-0.8	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 836610 (OGILVIE)	25	66	28	58	64	223/300/286	64	302	1	3	25%	9%	71	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Andy Simunic 2011 · A	25	50→56	36→30	52→50	48	230/299/295	65	312	3	14	26%	8%	72	-0.7	231/285/296	65	310	4	14	25%	7%	66	-1.1	252/294/288	36	321	2	17	21%	5%	65	-0.5
✕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
✕Daniel Figueroa 2008 · A	25	51→52	35→30	54→55	49	232/311/292	60	317	2	20	25%	9%	76	-0.4	228/313/289	61	316	3	20	26%	9%	76	-0.4	225/317/276	51	310	2	21	25%	9%	72	-0.4
✕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
✕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
✕Cutter Dykstra 2014 · A	25	48→57	38→40	52→55	47	228/296/310	82	305	5	16	26%	8%	74	-0.5	231/295/312	81	319	6	11	27%	8%	74	-0.6	227/289/301	74	313	6	9	28%	7%	68	-0.8
✕Jack Dunn 2022 · A	25	49→48	38→40	53→55	47	232/294/310	78	296	6	15	23%	7%	73	-0.6	222/304/296	74	290	6	18	23%	9%	74	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕Bryan Pritz 2006 · A	24	53→56	36→40	51→50	50	249/313/319	71	307	4	15	19%	8%	82	-0.0	231/279/317	86	279	5	10	18%	6%	68	-1.0	228/272/314	87	271	6	8	18%	6%	63	-0.8
✕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
✕Shawn Payne 2014 · A	25	47→57	40	56→55	48	223/293/318	95	283	6	24	23%	8%	75	-0.5	211/279/311	100	290	7	16	28%	8%	68	-1.0	198/272/299	101	278	7	17	29%	8%	59	-1.1
✕Keenan Wiley 2012 · A	25	52→55	35→30	54→55	41	243/289/306	63	313	2	16	22%	5%	70	-0.9	220/268/285	65	295	3	15	25%	6%	57	-1.8	206/254/257	51	278	1	16	25%	6%	42	-2.0
✕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
✕Hunter Stovall 2022 · A	25	51→50	39→45	54→50	46	239/297/327	87	315	6	19	25%	7%	78	-0.3	235/282/335	100	295	8	15	22%	6%	74	-0.6	234/277/328	95	281	8	14	19%	5%	67	-0.8
✕Mike Sansoe 2007 · A	24	52	37→40	53→55	47	242/304/318	76	319	3	17	24%	8%	78	-0.3	223/279/296	73	301	4	14	25%	7%	63	-1.3	210/266/262	52	285	1	14	25%	6%	48	-1.4
✕Anthony Granato 2006 · A	25	49→50	39→40	53→55	50	230/306/315	86	310	5	17	26%	10%	79	-0.2	219/298/312	93	307	7	17	28%	9%	76	-0.4	175/283/245	70	255	5	31	30%	12%	55	-0.4
✕Brandon Sandoval 2019 · AA	24	55→59	37→30	50	43	259/302/329	70	341	4	18	24%	6%	80	-0.2	232/275/302	70	322	5	15	28%	5%	63	-1.3	218/254/263	45	307	3	14	29%	4%	45	-1.3
✕Adam Godwin 2008 · A	25	50→53	35→30	53→55	43	233/277/294	61	288	3	21	20%	5%	62	-1.4	233/281/300	67	292	3	22	20%	6%	65	-1.2	237/286/299	63	294	2	26	19%	6%	64	-0.8
✕Damon Dues 2023 · A	25	53	36→30	55→60	54	238/331/313	75	337	2	18	27%	12%	88	+0.5	220/309/287	67	318	3	24	28%	11%	74	-0.5	216/313/269	53	309	2	36	27%	12%	69	-0.5
✕Grant Hogue 2011 · A	25	52→55	34→30	51→55	42	240/290/296	56	297	2	19	19%	4%	68	-1.0	238/288/298	60	301	2	26	20%	5%	68	-1.0	241/292/293	52	307	1	35	20%	5%	65	-0.6
✕Adam Law 2015 · A	25	50→48	34→40	52→55	45	229/284/284	54	287	1	20	20%	6%	63	-1.4	239/291/303	64	304	2	16	21%	6%	70	-0.8	239/290/306	68	305	3	15	21%	5%	68	-0.6

Career Stats + Projections

Career Comps

Career Path Comps