Player 837844 — OGILVIE

Player 8378441B DSL CLE Mendoza

Age — —/— ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2038

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 142 proj PA

wRC+†76

AVG/OBP/SLG.224 / .292 / .324

PA142

HR1

K%25

BB%8

ISO101

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 65 / POW 33

Toolsscout grade

CONTACT65

scouting grade only

POWER33

scouting grade only

EYE57

scouting grade only

SPEED60

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 CLE Mendoza	—	206	173	44	8	6	3	30	25	1	20	6	254	368	422	790	168	283	12	15	351	38	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	—	ROK MLE	DSL CLE Mendoza	—	206	182	29	5	4	1	21	30	1	20	6	159	250	247	497	88	179	15	10	224	38	—	—	—	—	—	—
2026	—	ROK MLE	DSL CLE Mendoza	—	206	182	29	5	4	1	21	30	1	20	6	159	250	247	497	88	185	15	10	224	38	—	—	—	—	—	—
2026	—	ROK RAW	DSL CLE Mendoza	—	206	173	44	8	6	3	30	25	1	20	6	254	368	422	790	168	283	12	15	351	38	—	—	—	—	—	—
2026	25	ROK MLE	DSL CLE Mendoza	—	206	182	29	5	4	1	21	30	1	20	6	159	250	247	497	88	179	15	10	224	38	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	25	ROK MLE	DSL CLE Mendoza	—	206	182	29	5	4	1	21	30	1	20	6	159	250	247	497	88	179	15	10	224	38	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	25	MLB MLE	PIT	0%	256	231	52	9	4	2	21	64	2	6	1	226	295	327	621	101	300	25	8	281	76	-7	+1	+0	-5	+6	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	25	MLB MLE	PIT	0%	200	181	41	7	3	2	16	50	1	5	1	227	296	333	629	106	299	25	8	284	78	-5	+1	+0	-4	+4	-0.4
2028	25	MLB CTX	PIT	0%	0	0	0	0	0	0	0	0	0	0	0	227	296	332	628	105	300	—	—	283	78	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	548	491	99	17	9	4	49	116	3	28	8	202	278	297	575	96	255	21	9	261	62	-9	+1	+0	-6	+7	-0.7
/ 162G	—	MLE		—	650	582	118	20	11	5	58	138	4	33	9	203	280	301	580	98	256	21	9	261	62	-18	+2	+0	-12	+14	-1.4

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
#2Ryan 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
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#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	342	3	8	228	293	332	-5	+0	-0.2	-0.1
/162	664	7	16	-9.1	+0.0	-0.4	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 837844 (OGILVIE)	25	65	33	60	57	224/292/324	100	300	1	3	25%	8%	76	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕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
✕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
✕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
✕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
✕Levi Michael 2016 · AA	25	50→59	40→45	57→55	48	234/303/334	100	301	6	21	23%	8%	82	+0.0	224/286/318	94	308	7	12	28%	6%	72	-0.7	226/291/335	109	312	10	11	29%	5%	75	-0.3
✕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
✕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
✕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
✕Daniel Robertson 2011 · A	25	54→58	40	53→55	50	258/313/356	98	288	6	16	13%	7%	91	+0.6	251/307/339	88	289	4	17	14%	6%	84	+0.1	256/315/331	76	300	2	19	15%	7%	82	+0.0
✕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
✕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
✕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
✕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
✕Kevin Kaczmarski 2017 · A	25	51→56	39→40	53→50	45	240/289/343	103	301	4	12	21%	6%	78	-0.3	243/306/321	78	317	3	11	23%	7%	80	-0.2	248/317/313	65	325	3	12	22%	8%	80	-0.1
✕Sebastien Boucher 2007 · AA	25	54→64	37→40	56→55	50	249/317/327	79	326	4	21	23%	9%	85	+0.2	231/296/322	91	307	7	16	25%	8%	76	-0.4	226/293/318	91	300	7	15	25%	8%	71	-0.5
✕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
✕Mike McBryde 2009 · A	24	51→59	39→40	52→55	40	240/289/321	81	319	7	18	26%	5%	74	-0.6	246/285/339	93	315	7	18	23%	4%	76	-0.4	262/293/352	89	330	5	23	21%	3%	79	-0.1
✕Cody Milligan 2024 · AA	25	52→56	38→40	57→60	48	239/308/327	88	324	4	20	26%	8%	82	-0.0	209/272/298	89	302	5	28	30%	7%	62	-1.4	189/253/270	81	279	4	34	31%	7%	46	-1.8
✕Allen Córdoba 2021 · A	25	47→51	40→45	53→55	40	226/275/318	92	294	7	20	25%	5%	68	-1.0	228/297/335	107	282	9	16	21%	6%	81	-0.1	225/300/334	109	273	9	18	20%	6%	81	-0.0
✕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

Career Stats + Projections

Career Comps

Career Path Comps