Nate Baez — OGILVIE

Nate BaezC Portland Sea Dogs

Age 25 R/R 5'11" / 191 lbs AA HR -5%K -4% Svc 0.0 · Ctrl thru 2034

2026 ROS PROJECTION422 act + 9 ros · stats below = ROS only

showingROS

wRC+†54

AVG/OBP/SLG.125 / .222 / .125

PA9

HR0

K%22

BB%11

BABIP247

ISO105

MLB%2%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit-$3M ctrl surplus

Tools · ContractCON 45 / POW 45

Toolsscout grade

CONTACT45

scouting grade only

POWER45

scouting grade only

EYE30

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2029

Service 0 yrs (est)

Team Control Through 2034

First FA Year 2035

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2029
2027	MiLB	still in minors · estimated debut 2029
2028	MiLB	still in minors · estimated debut 2029
2029	Pre-Arb	$0.8M	—	—	—
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
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)
2022	21	A	Fort Myers Mighty Mussels	—	58	52	15	4	0	3	4	15	1	0	1	288	351	538	889	250	343	26	7	382	145	+3	-0	—	—	+1	0.4
2023	22	A	Fort Myers Mighty Mussels	—	125	97	26	5	0	2	25	40	2	1	0	268	427	381	809	113	429	32	20	374	139	+6	+0	—	—	+3	0.9
2024	23	A+	Cedar Rapids Kernels	—	317	276	66	10	2	12	31	89	8	0	0	239	333	420	754	181	305	28	10	336	114	+5	+0	—	—	+7	1.2
2025	24	AA	Wichita Wind Surge	—	212	190	45	8	4	5	13	35	5	2	0	237	303	400	703	163	260	17	6	308	94	-1	+0	—	—	+5	0.4
2025	24	A+	Cedar Rapids Kernels	—	184	148	49	9	0	3	32	30	3	1	0	331	459	453	912	122	397	16	17	412	165	+14	+0	—	—	+4	1.9
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2022	21	A MLE	Fort Myers Mighty Mussels	—	58	53	13	4	0	2	3	22	1	0	1	245	298	434	732	189	328	38	5	311	97	-0	-0	—	—	+1	0.1
2023	22	A MLE	Fort Myers Mighty Mussels	—	125	104	20	4	0	1	18	59	2	1	0	192	323	260	582	67	402	47	14	277	74	-4	+0	—	—	+3	-0.1
2024	23	A+ MLE	Cedar Rapids Kernels	—	317	286	47	6	1	7	21	124	8	0	0	164	241	266	507	101	250	39	7	230	42	-22	+0	—	—	+7	-1.5
2025	24	AA MLE	Wichita Wind Surge	—	212	194	37	6	3	4	9	45	5	2	0	191	245	314	560	124	219	21	4	246	53	-12	+0	—	—	+5	-0.7
2025	24	A+ MLE	Cedar Rapids Kernels	—	184	157	43	7	0	3	23	41	3	1	0	274	377	376	753	102	342	22	12	328	108	+2	+0	—	—	+4	0.6
2022	21	A MLE	Fort Myers Mighty Mussels	—	58	53	13	4	0	2	3	22	1	0	1	245	298	434	732	189	367	38	5	311	97	—	—	—	—	—	—
2022	21	A RAW	Fort Myers Mighty Mussels	—	58	52	15	4	0	3	4	15	1	0	1	288	351	538	889	250	343	26	7	382	97	—	—	—	—	—	—
2023	22	A MLE	Fort Myers Mighty Mussels	—	125	104	20	4	0	1	18	59	2	1	0	192	323	260	582	67	422	47	14	277	74	—	—	—	—	—	—
2023	22	A RAW	Fort Myers Mighty Mussels	—	125	97	26	5	0	2	25	40	2	1	0	268	427	381	809	113	429	32	20	374	74	—	—	—	—	—	—
2024	23	A+ MLE	Cedar Rapids Kernels	—	317	286	47	6	1	7	21	124	8	0	0	164	241	266	507	101	255	39	7	230	42	—	—	—	—	—	—
2024	23	A+ RAW	Cedar Rapids Kernels	—	317	276	66	10	2	12	31	89	8	0	0	239	333	420	754	181	305	28	10	336	42	—	—	—	—	—	—
2025	24	AA MLE	2 teams	—	396	351	79	13	3	6	32	87	8	3	0	225	304	330	635	105	278	22	8	284	78	—	—	—	—	—	—
2025	24	AA RAW	2 teams	—	396	338	94	17	4	8	45	65	8	3	0	278	376	423	799	145	319	16	11	356	78	—	—	—	—	—	—
2022	21	A MLE	Fort Myers Mighty Mussels	—	58	54	13	4	0	2	3	22	1	0	1	241	298	426	724	185	328	38	5	311	97	—	—	—	—	—	—
2023	22	A MLE	Fort Myers Mighty Mussels	—	125	104	20	4	0	1	18	59	2	1	0	192	323	260	582	67	402	47	14	277	74	—	—	—	—	—	—
2024	23	A+ MLE	Cedar Rapids Kernels	—	317	285	47	6	1	7	21	124	8	0	0	165	241	267	508	102	250	39	7	230	42	—	—	—	—	—	—
2025	24	AA MLE	2 teams	—	396	353	79	13	3	6	32	87	8	3	0	224	304	329	633	105	276	22	8	284	78	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	22	A MLE	Fort Myers Mighty Mussels	—	125	104	20	4	0	1	18	59	2	1	0	192	323	260	582	67	402	47	14	277	74	—	—	—	—	—	—
2024	23	A+ MLE	Cedar Rapids Kernels	—	317	285	47	6	1	7	21	124	8	0	0	165	241	267	508	102	250	39	7	230	42	—	—	—	—	—	—
2025	24	AA MLE	2 teams	—	396	353	79	13	3	6	32	87	8	3	0	224	304	329	633	105	276	22	8	284	78	—	—	—	—	—	—
YTD	25	AA MLE	BOS	—	422	384	71	19	0	7	23	117	11	4	1	185	251	289	540	104	243	28	5	238	47	-27	+0	+0	+8	+9	-1.0
▸ 2026 season
YTD	25	AA RAW	BOS	—	379	335	78	21	0	9	30	85	10	4	1	233	315	376	691	143	283	22	8	310	47	—	—	—	—	—	—
YTD	25	AAA RAW	BOS	—	43	39	4	2	0	0	3	11	1	0	0	103	186	154	340	51	143	26	7	168	47	—	—	—	—	—	—
ROS	25	AA MLE	BOS	2%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		241	22	11	249	54	-0	+0	+0	+0	+0	-0.0
TOT	25	AA MLE	BOS	—	431	392	72	19	0	7	24	119	11	4	1	184	251	286	536	102	242	28	6	238	47	-27	+0	+0	+8	+9	-1.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	26	MLB MLE	BOS	31%	365	331	63	14	1	7	24	99	7	3	1	190	260	302	562	112	245	27	7	256	60	-18	+0	+0	+7	+8	-0.3
2028	27	MLB MLE	BOS	42%	388	351	68	15	1	8	27	104	7	3	1	194	265	311	575	117	248	27	7	262	63	-17	+0	+0	+7	+8	-0.2
2029	28	MLB MLE	BOS	48%	401	363	70	15	1	8	28	107	7	3	1	193	264	306	570	113	250	27	7	264	65	-17	+0	-1	+7	+9	-0.2
2030	29	MLB MLE	BOS	49%	400	362	70	15	1	8	28	107	7	3	1	193	264	307	571	113	250	27	7	263	64	-17	+0	-1	+7	+9	-0.2
2031	30	MLB MLE	BOS	50%	398	360	70	15	1	8	28	107	7	2	0	194	266	308	574	114	249	27	7	261	62	-18	+0	-2	+7	+9	-0.4
2027	26	MLB CTX	BOS	31%	113	103	20	5	0	2	7	31	2	1	0	194	259	301	560	107	250	27	6	245	60	-5	+0	+0	+2	+2	-0.1
2028	27	MLB CTX	BOS	42%	163	148	29	7	0	3	11	44	3	1	0	196	265	304	569	108	254	27	7	251	63	-7	+0	+0	+3	+4	-0.1
2029	28	MLB CTX	BOS	48%	192	173	34	8	0	4	13	51	4	1	0	197	268	312	581	116	256	27	7	253	65	-8	+0	-0	+3	+4	-0.1
2030	29	MLB CTX	BOS	49%	197	177	35	8	0	4	14	53	4	1	0	198	272	311	583	113	256	27	7	253	64	-8	+0	-1	+4	+4	-0.1
2031	30	MLB CTX	BOS	50%	200	180	35	8	0	4	14	54	4	1	0	194	268	306	573	111	254	27	7	250	62	-9	+0	-1	+4	+4	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	865	781	153	36	0	17	59	233	17	5	0	196	267	307	575	111	254	27	7	251	64	-38	+1	-2	+15	+19	-0.5
/ 162G	—	A+C		—	650	587	115	27	0	13	44	175	13	4	0	196	267	308	575	112	253	27	7	251	64	-29	+1	-2	+12	+14	-0.4
Career	—	MLE		—	2857	2569	501	101	9	55	210	818	54	18	5	195	270	306	576	111	260	29	7	263	64	-87	+1	-4	+35	+42	-1.2
/ 162G	—	MLE		—	650	584	114	23	2	13	48	186	12	4	1	195	270	308	578	113	260	29	7	263	64	-29	+0	-1	+12	+14	-0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jeff Mathislast yr '20 career totals — 15 seasons, 3,003 PA	4.5	3,003	53	12	194	253	300	+54	+136	11.2	10.8
/162	664	12	3	+11.9	+30.1	2.5	pk7: 10
#2Sandy 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
#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	1.3	872	18	6	195	264	311	+16	+8	0.2	0.2
/162	664	14	4	+11.9	+6.1	0.1	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 Baez (OGILVIE)	25	45	45	45	30	183/253/287	104	241	6	3	28%	6%	54	-1.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Julio E. Rodriguez 2022 · AA	25	42	42→45	48→30	41	208/258/306	98	267	11	6	26%	5%	59	-1.7	207/278/335	128	280	16	4	31%	8%	74	-0.6	188/262/314	126	251	18	1	32%	8%	60	-0.6
✕Braeden Schlehuber 2013 · AA	25	42	44→45	43→40	38	209/257/325	116	253	11	4	22%	3%	63	-1.3	200/245/291	91	238	8	5	19%	4%	51	-2.3	187/226/246	59	224	3	2	17%	4%	31	-1.3
✕Grayson Greiner 2018 · AAA	25	42	43→45	48→30	41	208/259/319	111	277	10	2	28%	6%	62	-1.4	210/274/323	113	286	12	3	29%	8%	69	-0.9	200/270/288	88	295	9	0	33%	8%	58	-0.8
✕Cael Brockmeyer 2017 · AAA	25	41→39	44→45	46→40	39	205/261/318	113	280	11	4	30%	6%	63	-1.3	206/263/307	101	297	10	5	32%	5%	61	-1.5	204/263/294	89	299	10	3	33%	5%	55	-0.8
✕Joe Dunand 2021 · AA	25	42→45	41→45	45	39	208/263/304	96	282	8	4	29%	5%	60	-1.6	196/261/311	115	292	12	6	35%	6%	62	-1.4	188/260/312	124	278	13	5	35%	7%	59	-0.9
✕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
✕Sebastian Valle 2015 · AAA	25	38→46	43→45	42→40	35	198/222/301	103	257	11	3	28%	3%	43	-2.8	213/251/314	101	295	9	4	30%	5%	58	-1.7	218/271/331	113	291	11	2	28%	6%	67	-0.6
✕Joseph Muich 2008 · AA	25	41	43→40	49→30	38	207/245/310	103	272	12	5	28%	4%	55	-2.0	206/253/288	82	298	7	6	31%	5%	53	-2.1	185/233/207	22	283	0	0	33%	5%	24	-1.1
✕Joseph Odom 2017 · AA	25	43	44→45	44→30	40	216/259/330	114	280	11	3	27%	5%	65	-1.2	218/258/320	102	305	9	3	30%	5%	61	-1.5	186/244/289	104	311	11	2	41%	6%	47	-1.0
✕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
✕Dusty Brown 2007 · AA	25	41	42→45	44→30	43	205/258/309	103	263	10	5	26%	6%	60	-1.6	223/281/335	112	298	11	3	27%	7%	74	-0.5	226/289/329	103	305	10	0	28%	7%	73	-0.3
✕Wendell Rijo 2021 · AAA	25	42→43	44→50	44→50	42	211/263/330	119	272	12	7	27%	6%	67	-1.1	216/274/358	142	280	16	15	28%	6%	78	-0.3	211/271/360	149	264	18	19	27%	6%	74	-0.4
✕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
✕Beamer Weems 2012 · AA	25	41→47	43→45	41→40	46	204/279/318	113	265	10	5	26%	8%	70	-0.8	206/260/311	105	276	10	5	28%	6%	61	-1.5	183/233/259	75	235	6	0	24%	5%	35	-1.4
✕Kevin Ahrens 2014 · AA	25	40→46	42→45	43→40	46	198/263/298	99	260	9	2	27%	8%	59	-1.6	218/273/324	106	273	9	5	22%	7%	68	-1.0	220/275/327	107	270	9	4	21%	7%	68	-0.9
✕Omir Santos 2006 · AA	25	44	43→45	43→30	37	221/252/321	101	266	11	3	22%	2%	59	-1.6	223/260/303	80	281	7	4	22%	4%	59	-1.7	229/274/310	81	271	7	1	18%	4%	63	-0.6
✕Carlos Ramirez 2013 · AA	25	43	41→40	48→40	45	210/277/305	95	264	8	6	23%	6%	66	-1.1	208/273/328	120	258	11	7	23%	6%	71	-0.8	176/243/331	155	201	17	3	23%	6%	57	-0.5
✕Tres Barrera 2021 · AA	26	44→43	42→45	44→40	43	217/270/321	104	269	9	5	23%	6%	67	-1.1	210/279/309	99	268	10	3	24%	8%	68	-1.0	196/269/287	91	248	10	1	24%	8%	56	-0.8
✕Adam Donachie 2009 · AA	25	40	42→45	42→30	46	198/264/296	97	263	11	3	28%	8%	59	-1.6	188/254/278	90	260	8	3	29%	8%	51	-2.2	168/238/252	83	231	8	0	29%	8%	39	-1.4
✕Kungkuan Giljegiljaw 2019 · AA	25	45	45	47→30	41	225/276/341	116	289	13	2	26%	6%	74	-0.6	214/264/328	114	303	12	5	32%	6%	66	-1.1	187/231/293	106	278	11	0	36%	4%	45	-1.0

Career Stats + Projections

Career Comps

Career Path Comps