Nate Rombach — OGILVIE

Nate RombachC Wilmington Blue Rocks

Age 25 R/R 6'4" / 222 lbs A+ Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION138 act + 17 ros · stats below = ROS only

showingROS

wRC+†48

AVG/OBP/SLG.188 / .235 / .250

PA17

HR0

K%29

BB%6

BABIP257

ISO62

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$2M ctrl surplus

Tools · ContractCON 35 / POW 30

Toolsscout grade

CONTACT35

scouting grade only

POWER30

scouting grade only

EYE35

scouting grade only

SPEED40

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	Pre-Arb	$0.9M	—	—	—
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		$-1M	+$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. Catcher framing: only 2026 Statcast framing is modeled (Baseball Savant server-caches the leaderboard to the current season); prior-year framing is unmodeled — projections for established framers may run below FG-DC by 1-3 WAR.

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)
2024	23	A	Fredericksburg Nationals	—	119	111	29	6	0	2	8	34	0	0	0	261	311	369	680	108	360	29	7	306	93	-1	+0	—	—	+3	0.2
2024	23	ROK	FCL Nationals	—	114	101	29	8	1	3	12	29	1	2	0	287	368	475	844	188	377	25	11	374	139	+5	+0	—	—	+2	0.8
2025	24	A+	Wilmington Blue Rocks	—	64	58	7	1	0	1	6	22	0	0	0	121	203	190	393	69	171	34	9	189	14	-7	+0	—	—	+1	-0.5
2025	24	A	Fredericksburg Nationals	—	233	206	47	11	1	3	22	46	1	2	1	228	306	335	641	107	273	20	9	288	81	-5	+0	—	—	+5	-0.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	23	A MLE	Fredericksburg Nationals	—	119	114	23	5	0	1	5	47	0	0	0	202	235	272	507	70	332	39	4	230	42	-8	+0	—	—	+3	-0.6
2024	23	ROK MLE	FCL Nationals	—	114	105	20	5	1	2	8	42	1	2	0	190	254	314	569	124	298	37	7	251	56	-6	+0	—	—	+2	-0.3
2025	24	A+ MLE	Wilmington Blue Rocks	—	64	60	6	1	0	1	4	31	0	0	0	100	156	167	323	67	155	48	6	130	-26	-10	+0	—	—	+1	-0.8
2025	24	A MLE	Fredericksburg Nationals	—	233	214	38	8	1	2	14	68	1	2	1	178	231	252	484	75	234	29	6	218	34	-18	+0	—	—	+5	-1.4
2024	23	A MLE	2 teams	—	233	219	45	10	1	4	13	88	1	2	0	205	253	315	568	110	323	38	6	240	49	—	—	—	—	—	—
2024	23	A RAW	2 teams	—	233	212	58	14	1	5	20	63	1	2	0	274	339	420	759	146	368	27	9	339	49	—	—	—	—	—	—
2025	24	A MLE	2 teams	—	297	274	44	9	1	3	18	98	1	2	1	161	215	234	449	73	232	33	6	199	21	—	—	—	—	—	—
2025	24	A RAW	2 teams	—	297	264	54	12	1	4	28	68	1	2	1	205	283	303	586	98	255	23	9	266	21	—	—	—	—	—	—
2024	23	A MLE	2 teams	—	233	217	45	10	1	4	13	88	1	2	0	207	253	318	571	111	315	38	6	240	49	—	—	—	—	—	—
2025	24	A MLE	2 teams	—	297	276	44	9	1	3	18	98	1	2	1	159	215	232	447	72	217	33	6	199	21	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	23	A MLE	2 teams	—	233	217	45	10	1	4	13	88	1	2	0	207	253	318	571	111	315	38	6	240	49	—	—	—	—	—	—
2025	24	A MLE	2 teams	—	297	276	44	9	1	3	18	98	1	2	1	159	215	232	447	72	217	33	6	199	21	—	—	—	—	—	—
YTD	25	A+ MLE	WSH	—	138	126	20	2	0	2	9	43	2	1	0	159	226	222	448	63	220	31	7	214	31	-11	+0	+0	+2	+3	-0.6
▸ 2026 season
YTD	25	A RAW	WSH	—	22	18	2	1	0	0	3	4	0	0	0	111	238	167	405	56	133	18	14	195	31	—	—	—	—	—	—
YTD	25	A+ RAW	WSH	—	116	103	22	2	0	3	11	28	2	1	0	214	302	320	622	107	264	24	9	287	31	—	—	—	—	—	—
ROS	25	A+ MLE	WSH	0%	17	16	3	1	0	0	1	5	0	0	0	188	235	250	485	62	258	29	6	239	48	-1	+0	+0	+0	+0	-0.0
TOT	25	A+ MLE	WSH	—	155	142	23	3	0	2	10	48	2	1	0	162	227	225	453	63	226	31	6	216	33	-12	+0	+0	+3	+3	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	WSH	30%	281	259	52	10	1	5	18	77	2	3	1	201	258	305	563	104	265	27	6	253	57	-14	+0	+0	+5	+6	-0.3
2028	27	MLB MLE	WSH	42%	329	301	62	12	1	6	22	90	3	4	1	206	267	312	579	106	267	27	7	258	61	-15	+0	+0	+6	+7	-0.2
2029	28	MLB MLE	WSH	48%	361	330	67	13	1	6	25	98	3	4	1	203	265	303	568	100	268	27	7	260	62	-16	+0	-1	+6	+8	-0.2
2030	29	MLB MLE	WSH	49%	373	341	70	13	1	7	26	101	3	5	1	205	268	311	578	106	267	27	7	260	62	-17	+1	-1	+7	+8	-0.3
2031	30	MLB MLE	WSH	50%	379	346	69	13	1	6	27	104	3	4	1	199	263	295	558	95	266	27	7	257	60	-18	+0	-2	+7	+8	-0.5
2027	26	MLB CTX	WSH	30%	85	79	15	3	0	1	5	23	1	1	0	190	247	266	513	76	264	27	6	246	57	-4	+0	+0	+2	+2	-0.1
2028	27	MLB CTX	WSH	42%	137	126	25	5	0	2	9	37	1	2	0	198	257	286	543	87	266	27	7	251	61	-6	+0	+0	+2	+3	-0.1
2029	28	MLB CTX	WSH	48%	172	157	31	6	0	3	12	47	1	2	1	197	259	293	552	96	267	27	7	253	62	-8	+0	-0	+3	+4	-0.1
2030	29	MLB CTX	WSH	49%	184	167	34	7	0	3	13	50	2	2	1	204	269	299	569	96	266	27	7	253	62	-8	+0	-1	+3	+4	-0.2
2031	30	MLB CTX	WSH	50%	190	173	35	7	0	3	13	52	2	2	1	202	266	295	561	92	265	27	7	250	60	-9	+0	-1	+3	+4	-0.3
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	768	702	140	28	0	12	52	209	7	9	3	199	261	291	552	91	264	27	7	251	54	-36	+1	-2	+14	+17	-0.7
/ 162G	—	A+C		—	650	594	119	24	0	10	44	177	6	8	3	200	262	291	554	91	266	27	7	251	54	-30	+1	-2	+12	+14	-0.6
Career	—	MLE		—	2270	2086	412	81	7	37	150	661	16	24	6	198	257	296	553	99	268	29	7	248	54	-82	+2	-4	+31	+38	-1.5
/ 162G	—	MLE		—	650	597	118	23	2	11	43	189	5	7	2	198	257	298	556	101	267	29	7	248	54	-30	+1	-2	+12	+14	-0.6

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
#2Ronny Cedenolast yr '13 career totals — 9 seasons, 2,783 PA	4.2	2,783	40	39	246	289	354	+28	+19	5.5	5.6
/162	664	10	9	+6.7	+4.5	1.3	pk7: 6
#3J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#4Adam 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
#5Ryan 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.2	770	13	9	204	263	307	+14	+8	-0.0	0.0
/162	664	11	8	+11.9	+6.9	-0.0	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
Nate Rombach (OGILVIE)	25	35	30	40	35	190/247/273	83	258	3	3	28%	6%	48	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕J.J. Franco 2017 · A	25	41	36→30	37→45	42	194/247/257	62	260	3	5	26%	6%	43	-2.8	213/282/268	55	298	2	6	26%	9%	59	-1.6	217/294/253	36	302	0	4	26%	10%	58	-0.6
✕Chadd Krist 2015 · A	25	40	41→40	44→45	42	196/258/292	96	269	8	6	29%	7%	56	-1.9	194/248/291	97	281	9	6	32%	6%	52	-2.2	151/202/238	87	213	10	0	34%	5%	19	-1.4
✕Ricardo Valenzuela 2016 · A	25	40	38→30	44→50	45	195/252/270	76	246	5	5	23%	6%	49	-2.4	213/266/271	58	259	4	3	18%	7%	53	-2.1	224/272/272	48	261	5	0	16%	6%	54	-0.7
✕Osvaldo Abreu 2019 · AA	25	40→48	40	43→50	39	196/244/288	92	267	8	6	29%	5%	49	-2.4	198/253/289	91	302	7	8	35%	6%	53	-2.1	188/247/261	74	303	5	8	37%	6%	42	-1.2
✕Brian Ward 2011 · A	25	41	36→40	43→45	47	193/272/257	64	268	4	6	28%	8%	54	-2.0	218/284/303	85	271	6	8	20%	7%	68	-1.0	224/288/309	84	270	6	8	18%	7%	69	-0.4
✕Austin Rei 2019 · AA	25	39	40	40	41	190/266/285	95	277	7	4	32%	7%	58	-1.7	196/266/290	94	304	8	7	35%	7%	59	-1.6	130/211/192	62	213	4	0	38%	8%	14	-0.9
✕Javi Herrera 2006 · AA	25	42	41→40	43→45	38	207/261/307	100	271	9	6	26%	4%	61	-1.5	213/283/303	90	267	7	6	22%	6%	68	-1.0	196/290/274	77	246	7	5	21%	9%	64	-0.4
✕Kyle Knudson 2013 · A	25	45	36→30	41→30	44	211/276/276	65	295	3	3	28%	7%	59	-1.6	222/279/292	70	298	3	3	25%	6%	63	-1.3	225/275/284	60	298	2	0	24%	4%	57	-0.7
✕Luis Cotto 2006 · A	25	42	37→30	43→45	39	201/242/275	74	270	4	7	26%	4%	45	-2.7	207/269/277	70	300	3	9	30%	7%	57	-1.8	196/270/244	48	298	0	8	31%	7%	47	-1.0
✕Matt Jones 2017 · AA	25	41	38→45	44→30	43	197/249/281	84	261	4	5	26%	6%	49	-2.4	200/262/304	104	273	12	3	30%	7%	61	-1.5	189/255/290	101	252	14	0	30%	7%	53	-0.9
✕Matt Pagnozzi 2008 · AAA	25	38	38→40	45→40	37	186/239/266	79	266	5	4	31%	5%	42	-2.9	207/260/286	79	287	7	4	29%	6%	55	-2.0	210/276/290	80	290	6	0	28%	7%	60	-0.7
✕Anthony Mulrine 2023 · AAA	25	37	37→40	45→40	40	178/255/248	70	259	5	5	32%	6%	46	-2.6	192/272/277	85	272	7	6	30%	7%	59	-1.7	144/248/206	63	200	4	0	27%	8%	33	-0.8
✕David Masters 2018 · A	25	36→37	40→45	40	42	180/239/263	83	237	8	3	27%	6%	42	-2.9	203/270/318	115	280	13	3	30%	7%	67	-1.1	192/262/321	129	263	16	1	32%	7%	61	-0.6
✕Roberto Baldoquin 2018 · A	24	42	37→30	43→45	38	201/246/268	67	287	5	8	31%	5%	45	-2.7	214/261/289	75	300	4	7	29%	5%	55	-1.9	212/267/270	58	291	2	4	26%	5%	51	-1.1
✕Erick Castillo 2018 · AA	25	43	36→30	46→30	41	207/254/267	60	268	4	3	24%	5%	48	-2.5	207/254/280	73	264	6	5	23%	5%	51	-2.3	191/250/230	39	236	3	0	20%	4%	36	-0.9
✕Sharlon Schoop 2012 · AA	25	45→44	38→40	43→45	42	219/259/297	77	273	6	7	22%	5%	56	-1.9	220/270/324	104	282	11	6	25%	6%	68	-1.0	200/253/303	103	256	10	0	25%	6%	53	-0.7
✕Lyle Lin 2022 · AA	25	43	37→30	42→40	42	203/272/279	76	295	4	5	31%	7%	59	-1.7	202/263/271	69	287	5	4	29%	6%	53	-2.1	159/216/175	16	212	0	2	23%	5%	11	-1.1
✕Stuart Turner 2017 · AA	25	43	39→40	46→45	45	206/269/292	86	265	6	7	24%	7%	60	-1.6	190/245/264	74	265	6	6	29%	6%	44	-2.8	151/198/192	41	219	4	1	32%	5%	7	-1.1
✕Bubba Hollins 2021 · A	25	44	37→30	42→45	42	209/260/282	74	268	4	4	23%	5%	54	-2.0	211/279/303	92	287	7	6	27%	6%	67	-1.1	197/272/280	83	271	6	5	28%	6%	58	-0.6
✕Quincy McAfee 2023 · AA	25	39	42→45	42→45	46	191/280/293	102	262	10	6	29%	9%	65	-1.2	199/277/327	128	250	14	10	25%	7%	72	-0.7	186/267/323	137	222	16	12	24%	7%	65	-0.7

Career Stats + Projections

Career Comps

Career Path Comps