Noah Barber — OGILVIE

Noah BarberOF ACL Royals

Age 21 R/R 6'4" / 180 lbs ROK HR -15%K -8% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION152 act + 14 ros · stats below = ROS only

showingROS

wRC+†25

AVG/OBP/SLG.077 / .143 / .077

PA14

HR0

K%43

BB%7

BABIP254

ISO75

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 20 / POW 25

Toolsscout grade

CONTACT20

scouting grade only

POWER25

scouting grade only

EYE25

scouting grade only

SPEED50

scouting grade only

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	Ext	beyond projection horizon · no WAR estimate
2029	Ext	beyond projection horizon · no WAR estimate
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
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
▸ Career — actual stats, one row per stint (as recorded, no adjustments)
2024	19	ROK	ACL Royals	—	63	54	9	1	0	1	8	30	0	6	1	167	274	241	515	74	348	48	13	243	50	-4	+1	—	—	+1	-0.2
2025	20	ROK	ACL Royals	—	165	148	27	9	3	1	12	73	4	7	2	182	262	304	566	122	347	44	7	257	60	-8	+1	—	—	+4	-0.4
2025	20	INTL	Brisbane Bandits	—	79	72	11	2	0	4	7	33	0	1	1	153	228	347	575	194	200	42	9	257	60	-4	-0	—	—	+2	-0.2
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	19	ROK MLE	ACL Royals	—	63	57	5	0	0	1	5	42	0	6	1	88	161	140	302	53	272	67	8	135	-22	-9	+1	—	—	+1	-0.7
2025	20	ROK MLE	ACL Royals	—	165	152	13	4	1	1	8	107	4	7	2	86	152	145	297	59	255	65	5	131	-25	-25	+1	—	—	+4	-2.1
2024	19	ROK MLE	ACL Royals	—	63	57	5	0	0	1	5	42	0	6	1	88	161	140	302	53	286	67	8	135	-22	—	—	—	—	—	—
2024	19	ROK RAW	ACL Royals	—	63	54	9	1	0	1	8	30	0	6	1	167	274	241	515	74	348	48	13	243	-22	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	244	228	19	6	2	1	11	158	4	8	3	83	140	140	280	57	257	65	5	131	-25	—	—	—	—	—	—
2025	20	ROK RAW	2 teams	—	244	220	38	11	3	5	19	106	4	8	3	173	251	318	569	145	300	43	8	257	-25	—	—	—	—	—	—
2024	19	ROK MLE	ACL Royals	—	63	58	5	0	0	1	5	42	0	6	1	86	161	138	299	52	272	67	8	135	-22	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	244	227	19	6	2	1	11	158	4	8	3	84	140	141	281	57	255	65	5	131	-25	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	19	ROK MLE	ACL Royals	—	63	58	5	0	0	1	5	42	0	6	1	86	161	138	299	52	272	67	8	135	-22	—	—	—	—	—	—
2025	20	ROK MLE	2 teams	—	244	227	19	6	2	1	11	158	4	8	3	84	140	141	281	57	255	65	5	131	-25	—	—	—	—	—	—
YTD	21	ROK MLE	KC	—	152	131	14	1	1	3	13	88	2	14	5	107	199	198	397	92	268	58	9	175	5	-17	+1	+0	-1	+3	-1.4
▸ 2026 season
YTD	21	ROK RAW	KC	—	152	123	23	2	2	4	21	61	2	14	5	187	315	333	648	146	322	40	14	288	5	—	—	—	—	—	—
ROS	21	ROK MLE	KC	0%	14	13	1	0	0	0	1	6	0	1	0	77	143	77	220		256	43	7	204	25	-1	+0	+0	-0	+0	-0.1
TOT	21	ROK MLE	KC	—	166	144	15	1	1	3	14	94	2	15	5	104	194	188	381	83	250	57	8	177	6	-19	+1	+0	-1	+4	-1.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	KC	34%	214	195	31	5	1	3	15	86	2	5	1	159	226	241	467	82	264	40	7	220	35	-16	+1	+0	-1	+5	-1.3
2027	22	MLB CTX	KC	34%	74	68	11	2	1	1	5	30	1	2	0	162	230	265	494	103	262	41	7	210	35	-6	+0	+0	-0	+2	-0.4
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	74	68	11	2	1	1	5	30	1	2	0	162	230	265	494	103	270	41	7	210	1	-6	+0	+0	-0	+2	-0.4
/ 162G	—	A+C		—	650	597	97	18	9	9	44	264	9	18	0	162	231	268	499	106	272	41	7	210	1	-50	+4	+0	-4	+14	-3.7
Career	—	MLE		—	535	493	56	11	3	5	32	292	6	20	5	114	177	178	356	65	258	55	6	169	1	-18	+1	+0	-1	+5	-1.4
/ 162G	—	MLE		—	650	599	68	13	4	6	39	355	7	24	6	114	176	179	355	65	258	55	6	169	1	-51	+2	+0	-4	+14	-3.9

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
#3John McDonaldlast yr '14 career totals — 13 seasons, 2,596 PA	3.9	2,596	28	34	233	273	324	+20	+54	4.2	5.1
/162	664	7	9	+5.0	+13.9	1.1	pk7: 6
#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 1 projected seasons	0.3	212	2	4	166	224	246	-1	+0	-1.2	-0.6
/162	664	7	13	-4.0	+0.0	-3.8	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
Noah Barber (OGILVIE)	21	20	25	50	25	148/213/224	76	256	2	5	42%	7%	25	-1.0	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Sandy Mota 2018 · A	21	38	39→30	52→55	35	186/232/270	84	279	6	14	34%	5%	40	-3.0	189/242/270	81	287	5	12	34%	6%	45	-2.7	165/223/234	70	247	4	15	33%	6%	28	-1.0
✕Jalen Harris 2013 · A	21	36	35→30	51→45	36	171/222/229	59	288	2	8	40%	6%	27	-4.0	197/249/265	68	334	3	7	39%	6%	45	-2.7	194/243/248	54	337	2	5	41%	5%	36	-1.1
✕Omar Hernandez 2023 · A	21	36	36→30	52→55	35	177/219/241	64	266	3	12	34%	5%	28	-3.9	191/240/254	63	261	5	17	27%	5%	40	-3.1	209/245/262	53	279	4	21	26%	4%	40	-1.5
✕Eleazar Cuevas 2008 · A	21	34	34→30	47→50	34	162/215/210	47	280	2	13	41%	6%	20	-4.5	183/249/248	65	284	4	13	34%	7%	42	-2.9	154/233/207	53	231	3	16	32%	8%	28	-1.7
✕Carlos Rodriguez 2016 · A	21	36	33→30	49→50	35	172/223/217	44	258	1	14	32%	4%	25	-4.1	198/259/255	57	293	2	11	31%	5%	48	-2.5	191/263/226	34	287	0	13	30%	5%	40	-1.1
✕Juan Tejada 2015 · A	21	33	38→30	52→55	34	166/222/244	78	273	6	15	40%	6%	32	-3.7	178/224/278	100	286	10	10	39%	5%	40	-3.1	149/186/280	132	215	19	12	41%	4%	24	-0.9
✕Gabriel Rosa 2014 · A	21	35	40	51→50	38	177/237/265	88	260	9	12	34%	6%	42	-2.9	186/249/277	91	276	8	12	33%	6%	49	-2.4	135/202/219	84	197	8	18	34%	6%	17	-1.3
✕Travis Mitchell 2009 · A	21	38	37→30	51→50	31	181/218/248	67	298	4	14	40%	4%	30	-3.8	199/232/265	66	321	3	12	37%	4%	38	-3.2	203/216/247	44	315	0	14	35%	1%	24	-1.5
✕Carlos Garcia 2010 · A	21	38	39→40	49→55	38	186/247/264	78	283	7	12	35%	6%	46	-2.6	200/254/298	98	314	9	9	37%	6%	56	-1.9	174/219/288	114	283	11	4	41%	5%	38	-0.8
✕Jake Vogel 2023 · A	21	40→38	36→40	52→55	39	186/253/260	73	291	3	12	35%	7%	47	-2.6	179/248/248	69	286	4	19	36%	7%	42	-2.9	158/232/215	56	258	4	24	37%	7%	28	-2.4
✕Miguel Eladio 2017 · A	21	37	34→40	50→55	33	178/218/231	53	282	2	11	36%	4%	26	-4.1	201/231/280	79	311	6	5	36%	3%	41	-3.0	198/221/278	80	301	7	2	36%	3%	34	-1.7
✕Eduardo Caraballo 2008 · A	21	40	36→30	51→50	36	187/242/251	64	296	4	14	36%	6%	40	-3.1	200/257/266	66	300	2	11	32%	6%	49	-2.4	192/249/246	54	285	0	10	30%	5%	38	-1.5
✕Johan De Jesus 2017 · A	20	34	35→30	50	34	162/218/220	58	282	3	9	41%	6%	24	-4.2	174/225/253	79	301	5	6	41%	6%	34	-3.5	144/200/228	84	241	4	4	40%	6%	17	-1.5
✕Sander Mora 2022 · A	21	39	37→30	52→55	44	185/261/259	74	275	5	12	32%	8%	50	-2.3	178/255/258	80	307	6	9	40%	9%	48	-2.5	129/221/190	62	226	6	11	42%	10%	19	-1.9
✕Angel Rojas 2014 · A	21	37	34→30	47→50	39	177/234/230	53	260	2	9	31%	6%	32	-3.6	201/253/269	68	288	3	6	29%	5%	49	-2.4	195/242/237	42	275	0	2	27%	4%	34	-0.7
✕Nonie Williams 2019 · A	21	34→22	36→30	50	33	167/216/236	69	275	4	8	39%	5%	26	-4.0	160/231/234	74	303	5	12	45%	8%	34	-3.5	121/204/183	62	238	5	15	47%	8%	11	-4.2
✕Yeurys Tejeda 2009 · A	21	37	38→40	51→50	36	182/239/256	74	283	6	11	36%	5%	40	-3.0	201/249/290	89	282	7	7	30%	5%	51	-2.2	175/208/266	92	228	10	4	28%	3%	29	-0.8
✕Carlos Jean 2015 · A	21	36	36→30	45→50	41	172/248/234	62	278	3	10	37%	8%	39	-3.1	186/249/238	52	286	2	17	33%	7%	40	-3.0	172/233/201	29	260	1	26	32%	6%	23	-1.4
✕Wilson Amador 2017 · A	20	37	35→30	51→55	36	176/234/241	65	268	2	15	34%	5%	35	-3.4	202/245/275	73	305	4	16	33%	5%	46	-2.6	199/227/257	58	297	2	29	33%	3%	32	-1.1
✕Jesus Graterol 2018 · A	21	35	34→30	47→45	36	172/217/226	54	251	1	9	31%	4%	24	-4.2	193/248/264	71	297	4	8	34%	6%	45	-2.7	170/230/225	56	272	4	5	37%	5%	28	-0.7

Career Stats + Projections

Career Comps

Career Path Comps