Jacob Walsh — OGILVIE

Jacob Walsh1B Wilmington Blue Rocks

Age 23 L/L 6'4" / 225 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION452 act + 8 ros · stats below = ROS only

showingROS

wRC+†79

AVG/OBP/SLG.143 / .250 / .143

PA8

HR0

K%38

BB%12

BABIP282

ISO155

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 25 / POW 57

Toolsscout grade

CONTACT25

scouting grade only

POWER57

scouting grade only

EYE52

scouting grade only

SPEED52

scouting grade only

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	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
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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2025	22	A	Fredericksburg Nationals	—	93	78	10	2	0	1	13	29	1	3	0	128	261	192	453	64	184	31	14	224	37	-7	+1	—	—	+2	-0.4
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	22	A MLE	Fredericksburg Nationals	—	93	84	7	1	0	1	7	43	1	3	0	83	163	131	294	48	159	46	8	149	-13	-13	+1	—	—	+2	-1.0
2025	22	A MLE	Fredericksburg Nationals	—	93	84	7	1	0	1	7	43	1	3	0	83	163	131	294	48	146	46	8	149	-13	—	—	—	—	—	—
2025	22	A RAW	Fredericksburg Nationals	—	93	78	10	2	0	1	13	29	1	3	0	128	261	192	453	64	184	31	14	224	-13	—	—	—	—	—	—
2025	22	A MLE	Fredericksburg Nationals	—	93	85	7	1	0	1	7	43	1	3	0	82	163	129	292	47	159	46	8	149	-13	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	22	A MLE	Fredericksburg Nationals	—	93	85	7	1	0	1	7	43	1	3	0	82	163	129	292	47	159	46	8	149	-13	—	—	—	—	—	—
YTD	23	A+ MLE	WSH	—	452	411	82	18	1	19	32	186	6	7	2	200	267	387	654	187	301	41	7	280	76	-13	+1	+0	-8	+10	-1.1
▸ 2026 season
YTD	23	A RAW	WSH	—	168	135	35	6	2	6	28	44	4	5	1	259	401	467	868	207	337	26	17	386	76	—	—	—	—	—	—
YTD	23	A+ RAW	WSH	—	284	256	69	18	0	19	22	92	2	2	1	270	330	562	892	293	340	32	8	382	76	—	—	—	—	—	—
ROS	23	A+ MLE	WSH	0%	8	7	1	0	0	0	1	3	0	0	0	143	250	143	393		283	38	12	285	79	-0	+0	+0	-0	+0	-0.0
TOT	23	A+ MLE	WSH	—	460	418	83	18	1	19	33	189	6	7	2	199	267	383	650	184	300	41	7	280	76	-13	+1	+0	-8	+10	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	WSH	30%	333	303	63	13	1	12	24	113	3	5	1	208	273	376	649	168	283	34	7	291	83	-7	+1	+0	-6	+7	-0.5
2028	25	MLB MLE	WSH	44%	385	350	76	15	2	15	28	127	4	7	2	217	283	400	683	183	284	33	7	296	86	-6	+1	+0	-7	+8	-0.4
2029	26	MLB MLE	WSH	51%	418	380	82	16	2	16	31	136	4	8	2	216	282	395	677	179	284	33	7	298	88	-6	+1	+0	-7	+9	-0.4
2027	24	MLB CTX	WSH	30%	101	92	19	4	0	4	7	34	1	2	0	207	270	380	650	174	282	34	7	283	83	-2	+0	+0	-2	+2	-0.1
2028	25	MLB CTX	WSH	44%	170	153	33	7	1	6	13	56	2	3	1	216	286	392	678	176	283	33	8	287	86	-3	+0	+0	-3	+4	-0.2
2029	26	MLB CTX	WSH	51%	212	192	41	8	1	8	16	69	2	4	1	214	281	391	672	177	283	33	8	290	88	-3	+0	+0	-4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	483	437	93	19	2	18	36	159	5	9	2	213	280	389	669	176	285	33	7	287	79	-8	+1	+0	-9	+10	-0.5
/ 162G	—	A+C		—	650	588	126	26	3	24	48	214	7	12	3	214	281	391	673	177	288	33	7	287	79	-10	+1	+0	-12	+14	-0.7
Career	—	MLE		—	1237	1124	229	45	5	44	91	422	12	23	5	204	271	370	641	166	278	34	7	284	79	-19	+2	+0	-20	+25	-1.3
/ 162G	—	MLE		—	650	591	121	24	3	23	48	222	6	12	3	205	272	372	644	168	280	34	7	284	79	-11	+1	+0	-12	+14	-0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Brandon Mosslast yr '17 career totals — 8 seasons, 3,459 PA	5.2	3,459	160	11	238	315	455	-53	-41	5.9	5.9
/162	664	31	2	-10.2	-7.9	1.1	pk7: 6
#2Gregory 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
#3Justin Smoaklast yr '20 career totals — 11 seasons, 4,750 PA	7.2	4,750	196	3	229	322	419	-85	-77	1.9	3.9
/162	664	27	0	-11.9	-10.7	0.3	pk7: 6
#4Chris Carterlast yr '17 career totals — 7 seasons, 2,807 PA	4.2	2,807	158	12	219	314	462	-50	-50	3.3	3.3
/162	664	37	3	-11.7	-11.9	0.8	pk7: 3
#5Ike Davislast yr '15 career totals — 6 seasons, 2,377 PA	3.6	2,377	81	7	239	332	416	-42	-36	1.7	1.7
/162	664	23	2	-11.9	-10.1	0.5	pk7: 2
#6Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 1 projected seasons	0.7	484	18	8	214	278	391	-9	-2	-0.2	-0.1
/162	664	25	12	-11.9	-2.1	-0.3	pk7: 0

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
Jacob Walsh (OGILVIE)	23	20→25	52→57	47→52	52	202/267/371	169	283	7	3	36%	7%	79	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Alex Binelas 2023 · AA	23	35→43	53→50	51→50	42	193/260/363	170	265	22	7	36%	8%	74	-0.5	201/266/345	144	297	17	12	36%	8%	72	-0.7	219/299/362	143	313	18	8	34%	10%	85	+0.2
✕Daniel Palka 2015 · A	23	40→43	49→55	47→50	42	207/267/358	151	280	17	6	32%	7%	75	-0.5	210/262/376	166	301	21	10	36%	6%	77	-0.3	207/276/382	174	264	24	4	31%	8%	82	+0.0
✕Enmanuel Valdez 2022 · AA	23	36→46	52→55	45	41	201/254/364	163	248	21	7	29%	6%	72	-0.7	224/286/392	168	277	21	8	26%	8%	90	+0.6	220/286/384	164	268	21	8	26%	8%	86	+0.2
✕Justin Nelson 2006 · A	23	43→41	52→55	47→45	45	225/290/398	173	287	19	10	28%	8%	93	+0.8	214/284/388	174	304	20	6	34%	8%	88	+0.5	204/279/384	180	291	21	3	36%	8%	84	+0.1
✕Collin Ferguson 2017 · A	24	37→27	48→55	47→45	41	194/262/331	137	272	16	8	34%	7%	68	-1.0	216/275/339	123	307	12	9	32%	7%	73	-0.6	244/295/377	134	331	12	9	28%	6%	88	+0.2
✕Christopher Familia 2023 · A	23	40	46→55	47→45	45	203/281/331	128	258	14	8	26%	8%	74	-0.5	219/278/387	168	291	21	4	31%	6%	86	+0.3	217/271/408	191	280	27	0	32%	5%	84	+0.1
✕Chad Spanberger 2019 · A	23	41→42	54→55	50→45	37	222/267/394	172	285	23	9	31%	5%	83	+0.1	203/254/343	140	278	16	6	32%	6%	67	-1.1	176/233/307	131	247	15	3	34%	6%	49	-1.6
✕Alex Glenn 2014 · A	23	41→42	48→55	55→50	42	209/276/353	144	286	15	11	31%	7%	77	-0.3	217/263/366	149	281	15	11	28%	5%	75	-0.5	215/257/366	151	272	15	10	27%	5%	69	-0.6
✕Michael Toglia 2022 · AA	23	38→39	48→55	49→45	42	193/265/335	142	287	16	9	37%	8%	70	-0.9	197/270/360	163	275	21	7	35%	9%	77	-0.3	202/279/386	184	273	24	7	34%	9%	83	+0.1
✕Nicky Delmonico 2015 · A	23	40→47	47→50	46→45	43	206/271/340	134	280	15	8	31%	7%	72	-0.7	225/282/366	141	294	13	6	27%	7%	82	-0.0	230/299/381	151	284	16	4	24%	8%	89	+0.4
✕Parker Meadows 2023 · AA	23	40→47	48→55	52→55	43	209/268/351	142	267	16	12	28%	7%	74	-0.6	223/290/379	156	286	16	20	27%	8%	88	+0.4	222/295/383	161	284	16	22	27%	9%	88	+0.4
✕Alexander Canario 2022 · A	22	36→34	50→60	50	36	193/240/341	148	278	18	14	37%	6%	61	-1.5	207/269/387	180	291	23	14	36%	7%	83	+0.1	201/270/393	193	274	26	13	36%	8%	82	-0.0
✕Tyler Dearden 2022 · A	24	38→34	54→50	47→30	41	204/278/379	175	295	24	3	38%	8%	84	+0.2	224/292/344	120	327	13	3	33%	8%	81	-0.1	230/287/319	89	322	7	2	29%	6%	70	-0.3
✕Aristides Aquino 2017 · A	23	41	50→60	50	37	213/252/369	156	271	17	9	29%	4%	72	-0.7	202/246/362	160	265	20	8	31%	5%	68	-1.0	212/278/428	216	266	32	9	33%	7%	91	+0.4
✕Matt Clark 2010 · A	23	43→45	51→55	49→30	43	222/283/385	163	297	19	3	32%	7%	87	+0.4	229/285/392	163	305	21	2	31%	7%	90	+0.6	222/280/391	169	270	22	0	26%	7%	88	+0.3
●Will Benson 2021 · A	23	34→44	50→55	52→55	42	180/258/327	147	274	18	14	40%	9%	65	-1.2	207/304/370	163	306	17	18	35%	11%	92	+0.7	219/322/395	175	313	17	26	32%	12%	101	+1.0
✕Tommy Giles 2007 · A	23	42→41	45→55	47→40	37	216/254/339	123	277	13	7	27%	4%	65	-1.2	220/272/377	157	291	18	6	30%	6%	81	-0.1	218/277/394	176	282	22	4	30%	7%	85	+0.1
✕Steven Caseres 2010 · A	23	42→41	48→55	50→30	40	209/274/356	147	302	15	3	35%	7%	77	-0.3	207/270/323	116	308	13	3	35%	7%	68	-1.0	202/266/313	111	295	15	0	35%	7%	61	-0.9
✕Brian Pellegrini 2009 · A	24	36→34	55→60	56→45	39	198/270/387	189	267	24	11	35%	6%	84	+0.1	214/285/415	201	277	28	7	33%	8%	96	+1.0	206/281/415	209	254	32	5	33%	8%	94	+0.6
✕Chris Epps 2013 · A	24	42→38	48→50	48→45	42	210/274/354	143	299	16	9	34%	8%	76	-0.4	200/274/341	141	295	15	9	35%	9%	74	-0.6	190/272/341	151	280	15	7	35%	10%	72	-0.6

Career Stats + Projections

Career Comps

Career Path Comps