Player 837683 — OGILVIE

Player 8376831B DSL CLE Goryl

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

2026 ROS PROJECTION132 act + 18 ros · stats below = ROS only

showingROS

wRC+91

AVG/OBP/SLG.250 / .333 / .312

PA18

HR0

K%17

BB%11

BABIP286

ISO62

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 CLE Goryl	—	132	109	27	4	2	1	20	13	3	8	5	248	379	349	727	101	274	10	15	314	99	-0	-0	+0	-2	+3	-0.0
▸ 2026 season
YTD	—	ROK RAW	DSL CLE Goryl	—	132	97	30	5	2	1	32	9	3	8	5	309	492	433	925	124	333	7	24	426	99	—	—	—	—	—	—
ROS	—	ROK MLE	—	0%	18	16	4	1	0	0	2	3	0	1	0	250	333	312	646	62	286	17	11	303	91	-0	+0	+0	-0	+0	0.0
TOT	—	ROK MLE	—	—	150	125	31	5	2	1	22	16	3	9	5	248	373	344	717	96	278	11	15	313	98	-0	-0	+0	-3	+3	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	—	0%	269	234	54	9	3	3	30	52	3	7	2	231	326	333	659	103	283	19	11	302	91	-3	+1	+0	-5	+6	-0.1
2028	25	MLB MLE	—	0%	377	327	76	13	3	5	42	74	5	10	3	232	329	336	665	104	283	20	11	305	93	-3	+1	+0	-7	+8	-0.1
2029	25	MLB MLE	—	0%	450	392	92	15	4	7	49	89	6	12	4	235	329	347	676	112	284	20	11	307	94	-3	+1	+0	-8	+10	-0.1
2030	25	MLB MLE	—	0%	500	436	102	17	4	8	54	99	6	14	4	234	327	346	673	112	284	20	11	309	95	-3	+1	+0	-9	+11	0.0
2031	25	MLB MLE	—	0%	534	464	109	18	5	9	58	106	7	15	4	235	329	353	682	119	283	20	11	310	96	-3	+1	+0	-10	+12	0.1
2032	25	MLB MLE	—	0%	559	486	115	19	5	10	61	111	7	15	5	237	330	358	688	121	283	20	11	311	96	-2	+1	+0	-10	+12	0.1
2033	25	MLB MLE	—	0%	576	501	118	20	5	10	63	114	7	16	5	236	329	355	685	120	283	20	11	312	97	-2	+1	+0	-10	+12	0.1
2034	25	MLB MLE	—	0%	589	512	121	20	5	11	64	117	8	16	5	236	330	359	690	123	283	20	11	313	98	-2	+1	+0	-11	+13	0.2
2027	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	302	91	—	—	+0	-0	—	—
2028	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	305	93	—	—	+0	-0	—	—
2029	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	307	94	—	—	+0	-0	—	—
2030	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	284	—	—	309	95	—	—	+0	-0	—	—
2031	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	310	96	—	—	+0	-0	—	—
2032	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	311	96	—	—	+0	-0	—	—
2033	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	312	97	—	—	+0	-0	—	—
2034	25	MLB CTX	—	0%	0	0	0	0	0	0	0	0	0	0	0	—	—	—	—	—	283	—	—	313	98	—	—	+0	-0	—	—
▸ Career Totals
Career	—	MLE		—	3872	3368	791	132	34	63	423	765	49	106	32	235	329	350	679	115	284	20	11	309	95	-21	+8	+0	-69	+84	0.2
/ 162G	—	MLE		—	650	565	133	22	6	11	71	128	8	18	5	235	329	354	683	119	284	20	11	309	95	-4	+1	+0	-12	+14	0.0

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
#2Grégor Blancolast yr '18 career totals — 9 seasons, 3,301 PA	5.0	3,301	26	120	256	340	350	-9	-5	7.7	8.5
/162	664	5	24	-1.8	-1.0	1.5	pk7: 9
#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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 9 projected seasons	6.2	4,120	67	111	236	326	351	-46	+0	5.6	5.5
/162	664	11	18	-7.4	+0.0	0.9	pk7: 5
#5Gregory 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
#6Tony 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

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 837683 (OGILVIE)	25	—	—	—	—	230/330/323	93	286	2	9	19%	12%	91	+0.3	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●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
✕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
✕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
✕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
✕Cal Stevenson 2021 · A	24	50→57	39→45	49→60	54	237/310/322	85	286	6	12	18%	10%	82	-0.0	224/307/328	104	297	10	20	26%	10%	83	+0.1	239/332/352	113	308	9	30	23%	12%	96	+0.6
✕Conner Crumbliss 2012 · A	25	48→49	39→45	51→50	59	227/326/314	88	285	6	14	21%	12%	87	+0.4	221/317/333	112	269	10	14	20%	11%	88	+0.4	215/312/332	117	254	11	14	19%	11%	84	+0.2
✕Steve Tolleson 2008 · A	24	50→53	39→45	49→50	52	236/313/328	92	304	6	14	23%	10%	84	+0.2	246/308/354	108	303	8	13	20%	8%	88	+0.5	252/311/367	115	300	10	12	18%	7%	89	+0.4
✕Jack Dunn 2022 · A	25	50→48	38→40	53→55	47	235/298/314	79	300	6	15	23%	7%	76	-0.4	222/305/297	75	290	6	18	23%	10%	75	-0.5	213/306/284	71	274	6	21	22%	10%	71	-0.6
✕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
✕Anthony Granato 2006 · A	25	50→51	39→40	53→55	50	232/309/319	87	314	6	17	26%	10%	81	-0.1	221/300/314	93	310	7	17	28%	9%	77	-0.3	179/288/250	72	261	5	31	30%	12%	58	-0.3
✕Cutter Dykstra 2014 · A	25	49→56	38→40	52→55	47	229/299/312	83	308	5	16	26%	8%	76	-0.4	229/293/311	82	316	6	11	27%	8%	73	-0.6	223/285/297	74	307	6	9	28%	7%	65	-0.9
✕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
✕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
✕Stephen Wickens 2014 · A	25	48→46	38→40	51→55	51	225/302/306	81	272	4	14	18%	8%	76	-0.4	220/282/294	74	276	4	16	20%	7%	65	-1.2	223/280/281	58	280	2	20	19%	6%	59	-0.8
✕Joseph Bonadonna 2011 · A	25	48	40→45	51→50	45	228/293/326	98	310	6	13	27%	8%	76	-0.4	203/263/290	87	288	6	15	30%	6%	57	-1.8	149/210/199	50	213	4	22	31%	5%	15	-1.5
●Tyler Black 2023 · A	23	47→52	41→50	50→60	54	222/318/324	102	296	7	14	25%	11%	86	+0.3	235/326/374	139	303	12	30	24%	10%	100	+1.3	232/326/372	140	301	12	35	25%	10%	97	+0.8
●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
●Jermaine Mitchell 2010 · A	25	46→56	39→50	50→55	46	216/288/301	85	316	6	14	32%	9%	69	-0.9	242/313/363	121	340	9	17	29%	9%	92	+0.7	252/323/385	133	344	9	18	27%	9%	97	+1.0
✕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

Career Stats + Projections

Career Comps

Career Path Comps