Bryce Eblin — OGILVIE

Bryce EblinSS Winston-Salem Dash

Age 24 L/R 5'11" / 185 lbs A+ HR +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION189 act + 19 ros · stats below = ROS only

showingROS

wRC+†67

AVG/OBP/SLG.176 / .263 / .235

PA19

HR0

K%32

BB%5

BABIP286

ISO59

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$1M ctrl surplus

Tools · Contract

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	+0.1	$0.3M	+$0.0M (cut)
2031	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$0.3M	+$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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	23	A	Kannapolis Cannon Ballers	—	24	19	4	0	0	0	1	2	3	1	1	211	348	211	558		222	8	4	272	70	-1	-0	—	—	+1	-0.1
2025	23	ROK	ACL White Sox	—	22	17	9	0	0	1	4	3	1	0	1	529	636	706	1.342	176	615	14	18	584	281	+5	-0	—	—	+0	0.5
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	23	A MLE	Kannapolis Cannon Ballers	—	24	19	4	0	0	0	1	3	3	1	1	211	348	211	558		206	12	4	249	55	-1	-0	—	—	+1	-0.1
2025	23	ROK MLE	ACL White Sox	—	22	19	8	0	0	1	2	4	1	0	1	421	500	579	1.079	158	503	18	9	443	186	+2	-0	—	—	+0	0.2
2025	23	A MLE	2 teams	—	46	38	12	0	0	1	3	7	4	1	2	316	422	395	817	79	355	15	7	342	117	—	—	—	—	—	—
2025	23	A RAW	2 teams	—	46	36	13	0	0	1	5	5	4	1	2	361	489	444	933	83	387	11	11	421	117	—	—	—	—	—	—
2025	23	A MLE	2 teams	—	46	39	12	0	0	1	3	7	4	1	2	308	422	385	807	77	348	15	7	342	117	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	23	A MLE	2 teams	—	46	39	12	0	0	1	3	7	4	1	2	308	422	385	807	77	348	15	7	342	117	—	—	—	—	—	—
YTD	24	A+ MLE	CWS	—	189	163	27	7	1	2	11	72	12	4	3	166	269	258	526	92	275	38	6	237	46	-12	-0	+0	+2	+4	-0.6
▸ 2026 season
YTD	24	A RAW	CWS	—	32	28	7	4	0	0	0	14	4	1	1	250	344	393	737	143	500	44	0	337	46	—	—	—	—	—	—
YTD	24	A+ RAW	CWS	—	157	129	26	6	1	3	17	39	8	3	2	202	331	333	665	132	258	25	11	304	46	—	—	—	—	—	—
ROS	24	A+ MLE	CWS	0%	19	17	3	1	0	0	1	6	1	0	0	176	263	235	498	59	285	32	5	268	67	-1	+0	+0	+0	+0	-0.0
TOT	24	A+ MLE	CWS	—	208	180	30	8	1	2	12	78	13	4	3	167	268	256	524	89	275	38	6	240	48	-13	-0	+0	+2	+5	-0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	25	MLB MLE	CWS	30%	209	187	39	8	1	4	14	63	6	5	2	209	285	326	611	118	284	30	7	274	71	-7	+0	+0	+2	+5	-0.0
2028	26	MLB MLE	CWS	44%	294	263	56	11	2	6	21	87	8	7	3	213	291	338	629	125	284	30	7	279	75	-9	+0	+0	+3	+6	0.1
2029	27	MLB MLE	CWS	49%	338	302	64	13	2	7	24	98	9	8	3	212	290	338	627	126	285	29	7	282	77	-9	+0	+0	+4	+7	0.2
2030	28	MLB MLE	CWS	52%	366	327	69	14	2	7	27	107	9	8	3	211	289	330	620	119	284	29	7	282	77	-10	+0	-1	+4	+8	0.2
2031	29	MLB MLE	CWS	51%	376	335	70	14	2	7	28	110	10	9	3	209	290	325	615	116	284	29	7	280	76	-11	+1	-1	+4	+8	0.1
2027	25	MLB CTX	CWS	30%	63	57	11	2	0	1	4	19	2	1	1	193	270	281	551	88	284	30	6	254	71	-2	-0	+0	+1	+1	-0.0
2028	26	MLB CTX	CWS	44%	130	117	25	5	1	3	9	38	3	3	1	214	287	350	637	137	285	29	7	261	75	-4	+0	+0	+1	+3	0.1
2029	27	MLB CTX	CWS	49%	166	149	31	6	1	3	12	48	4	4	2	208	285	322	607	114	285	29	7	264	77	-5	+0	+0	+2	+4	0.1
2030	28	MLB CTX	CWS	52%	189	168	36	7	1	4	14	55	5	4	2	214	294	339	633	125	285	29	7	264	77	-5	+0	-0	+2	+4	0.1
2031	29	MLB CTX	CWS	51%	194	173	36	7	1	4	14	57	5	4	2	208	286	329	616	121	285	29	7	263	76	-6	+0	-1	+2	+4	-0.0
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	742	664	139	27	4	15	53	217	19	16	8	209	287	330	617	120	284	29	7	262	77	-21	+0	-1	+8	+16	0.2
/ 162G	—	A+C		—	650	582	122	24	4	13	46	190	17	14	7	210	287	332	619	122	285	29	7	262	77	-19	+0	-1	+7	+14	0.1
Career	—	MLE		—	1648	1469	313	61	9	32	118	478	47	38	16	213	293	332	625	119	290	29	7	281	77	-47	+2	-2	+17	+35	0.5
/ 162G	—	MLE		—	650	579	124	24	4	13	47	189	19	15	6	214	295	337	632	123	291	29	7	281	77	-19	+1	-1	+7	+14	0.2

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2Yolmer Sánchezlast yr '19 career totals — 6 seasons, 2,438 PA	3.7	2,438	31	30	244	299	357	+9	+26	5.4	5.4
/162	664	8	8	+2.4	+7.2	1.5	pk7: 5
#3Adam Engellast yr '22 career totals — 6 seasons, 1,540 PA	2.3	1,540	30	47	225	280	350	+4	+33	4.1	4.1
/162	664	13	20	+1.8	+14.4	1.8	pk7: 4
#4Ryan 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
#5Nick 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	1.1	742	15	17	210	286	331	+8	+6	0.7	0.7
/162	664	13	15	+7.1	+5.4	0.6	pk7: 1
#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
Bryce Eblin (OGILVIE)	24	—	—	—	—	199/279/300	101	285	2	3	31%	7%	67	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Matthew Acosta 2022 · A	24	45	43→45	53→50	47	217/290/334	118	298	10	9	29%	9%	78	-0.3	205/272/314	109	298	10	13	32%	8%	67	-1.1	179/250/276	97	261	10	16	34%	8%	48	-1.5
✕Shayne Fontana 2021 · A	24	48	40→45	52→55	45	226/293/329	103	298	6	13	25%	7%	78	-0.3	205/288/312	107	296	10	10	31%	9%	72	-0.7	217/300/310	94	291	10	19	27%	8%	75	-0.3
✕Sicnarf Loopstok 2017 · A	24	43→37	42→50	50	38	209/268/316	107	294	9	13	31%	5%	65	-1.2	211/281/360	149	299	17	9	34%	7%	81	-0.1	199/275/365	165	277	21	7	34%	7%	81	-0.0
✕Sean Jamieson 2014 · A	25	43→45	43→45	50	44	212/278/331	119	279	10	12	27%	7%	72	-0.7	231/289/332	101	313	8	9	27%	6%	76	-0.4	234/293/322	88	321	6	7	27%	6%	72	-0.4
✕Taylor Grzelakowski 2018 · A	24	43	41→45	50→30	42	210/261/306	96	282	8	8	28%	6%	60	-1.6	213/275/308	95	322	7	3	33%	7%	65	-1.2	206/272/297	91	310	6	1	33%	8%	60	-0.8
✕Chris Meyers 2023 · A	24	42→45	44→50	51→40	43	210/272/331	121	280	12	9	28%	7%	70	-0.8	225/283/368	143	295	17	5	29%	6%	83	+0.1	222/283/366	144	287	17	3	28%	6%	80	-0.1
✕Quincy Hamilton 2022 · A	24	46	40→50	51→50	46	220/296/311	91	301	8	15	28%	8%	75	-0.5	221/301/359	138	285	15	14	26%	9%	88	+0.4	208/293/354	146	263	17	14	27%	9%	81	-0.0
✕Mark Fleury 2012 · A	24	43→40	44→45	49→45	45	213/281/332	119	290	11	6	29%	8%	74	-0.6	196/273/283	87	309	5	7	35%	9%	60	-1.6	148/243/204	56	246	1	2	36%	10%	32	-1.4
✕Kameron Misner 2021 · A	23	46→43	39→50	54→55	47	217/293/305	88	307	6	13	29%	9%	72	-0.7	200/284/329	129	320	13	21	38%	10%	75	-0.5	189/285/327	138	300	14	26	38%	11%	72	-0.6
✕Mitchell Tolman 2018 · A	24	46→47	41→45	45→50	50	221/293/316	94	273	9	9	22%	8%	74	-0.5	212/284/301	89	300	7	10	29%	8%	68	-1.0	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Johnny Monell 2009 · A	23	47→44	43→50	48→45	47	229/298/348	120	287	10	10	23%	8%	84	+0.1	229/286/362	133	289	13	6	24%	7%	82	+0.0	226/287/350	124	285	13	8	24%	7%	78	-0.1
✕Collin Burns 2023 · A	23	49	40→45	49→55	43	237/289/330	93	299	7	13	23%	6%	76	-0.4	205/263/286	81	279	6	17	27%	6%	56	-1.9	181/241/246	65	252	4	21	28%	6%	37	-1.5
✕Jackson Brennan 2007 · A	24	46→42	42→45	46→50	47	219/308/327	108	299	9	10	28%	9%	84	+0.1	209/301/306	97	289	8	10	28%	9%	77	-0.3	195/297/282	87	272	7	10	28%	9%	68	-0.5
✕Ethan Skender 2021 · A	24	46	42→45	49→50	42	225/280/330	105	291	9	9	25%	6%	73	-0.6	217/282/302	85	314	5	10	30%	6%	68	-1.0	214/286/299	84	328	4	7	33%	6%	66	-0.6
✕Logan Driscoll 2023 · A	25	42→47	44→45	48→40	42	209/277/328	119	296	12	6	32%	7%	72	-0.7	228/284/344	116	308	11	5	28%	6%	78	-0.3	232/290/345	114	313	10	3	28%	6%	77	-0.2
✕Michael Turconi 2023 · A	24	50→45	40→45	45→50	51	236/316/326	89	294	7	9	21%	9%	86	+0.3	208/289/300	92	308	6	8	31%	9%	70	-0.9	190/277/273	83	292	5	7	33%	10%	58	-0.9
✕Chris Kroski 2006 · A	24	46	44→45	50→40	43	226/283/349	123	300	11	7	28%	7%	78	-0.3	212/266/323	111	289	9	4	29%	6%	66	-1.1	199/257/309	110	271	8	1	29%	6%	58	-0.6
✕Jonathan Wyatt 2009 · A	24	46	41→40	48→50	48	226/287/323	98	277	9	12	22%	8%	74	-0.6	216/266/287	71	276	5	10	22%	6%	57	-1.8	208/251/248	40	266	2	8	22%	6%	39	-2.3
✕Mike Gerber 2016 · A	24	49→51	45→50	53→45	43	240/288/369	129	299	11	9	23%	6%	84	+0.2	221/271/351	130	315	12	8	32%	6%	74	-0.5	208/261/354	146	301	16	6	35%	6%	68	-0.7
✕Jake Rogers 2018 · A	23	41→40	44→55	47→45	42	204/268/326	123	280	11	10	30%	7%	68	-1.0	194/266/335	141	268	16	7	32%	8%	70	-0.9	216/279/422	206	274	28	2	32%	7%	93	+0.4

Career Stats + Projections

Career Comps

Career Path Comps