Noah Miller — OGILVIE

Noah MillerSS Oklahoma City Comets

Age 23 S/R 5'11" / 190 lbs AAA HR +8%BB -8% Svc 0.0 · Ctrl thru 2031

2026 ROS PROJECTION558 act + 10 ros · stats below = ROS only

showingROS

wRC+†59

AVG/OBP/SLG—

PA1

HR0

K%20

BB%10

BABIP257

ISO87

MLB%10%

Value2026 · WAR

2026 MLB RUNS · solid = so far · light = projected ROS (park-applied)

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

Tools · ContractCON 45 / POW 30

Toolsscout grade

CONTACT45

scouting grade only

POWER30

scouting grade only

EYE50

scouting grade only

SPEED46

scouting grade only

DEFENSE66

scouting grade only

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

Status Pre-Arb

MLB Debut 2026

Service 0 yrs (est)

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Pre-Arb	$0.1M	—	—	—
2027	Pre-Arb	$0.8M	+0.1	$0.4M	+$0.0M (cut)
2028	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2029	Arb-1	$2M	+0.3	$1.0M	+$0.0M (cut)
2030	Arb-2	$4M	+0.4	$1M	+$0.0M (cut)
2031	Arb-3	$5M	+0.3	$0.8M	+$0.0M (cut)
Totals		$0.8M		$4M	+$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)
2021	18	ROK	FCL Twins	—	96	84	20	3	1	2	9	26	1	1	1	238	319	369	688	131	316	27	9	305	93	-1	-0	—	—	+2	0.1
2022	19	A	Fort Myers Mighty Mussels	—	469	383	81	12	4	2	76	110	6	23	7	211	351	279	630	68	287	23	16	300	89	-6	+2	—	—	+10	0.6
2023	20	A+	Cedar Rapids Kernels	—	526	462	103	20	5	8	58	108	1	12	3	223	311	340	651	117	271	21	11	295	86	-9	+1	—	—	+11	0.4
2024	21	AA	Tulsa Drillers	—	136	129	29	5	0	0	6	28	0	2	2	225	259	264	523	39	284	21	4	238	47	-9	-0	—	—	+3	-0.6
2024	21	A+	Great Lakes Loons	—	454	395	99	14	0	6	49	66	4	5	1	251	339	332	670	81	284	15	11	306	93	-4	+1	—	—	+10	0.7
2025	22	AAA	Oklahoma City Comets	—	242	227	54	12	0	4	11	44	0	1	0	238	273	344	617	106	273	18	5	272	70	-9	+0	—	—	+5	-0.3
2025	22	AA	Tulsa Drillers	—	111	103	30	3	1	1	6	24	1	0	0	291	333	369	702	78	372	22	5	316	100	+0	+0	—	—	+2	0.2
2025	22	ROK	ACL Dodgers	—	31	24	8	2	1	0	6	1	0	0	0	333	467	500	967	167	333	3	19	416	168	+2	+0	—	—	+1	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	18	ROK MLE	FCL Twins	—	96	87	15	2	1	1	6	38	1	1	1	172	234	253	487	80	257	40	6	212	30	-8	-0	—	—	+2	-0.6
2022	19	A MLE	Fort Myers Mighty Mussels	—	469	404	68	11	3	2	55	158	6	23	7	168	277	225	503	57	262	34	12	237	47	-30	+2	—	—	+10	-1.8
2023	20	A+ MLE	Cedar Rapids Kernels	—	526	477	86	15	4	6	43	149	1	12	3	180	250	266	516	86	241	28	8	229	41	-37	+1	—	—	+11	-2.5
2024	21	AA MLE	Tulsa Drillers	—	136	131	24	4	0	0	4	36	0	2	2	183	207	214	421	31	251	26	3	191	15	-14	-0	—	—	+3	-1.1
2024	21	A+ MLE	Great Lakes Loons	—	454	411	88	12	0	5	34	90	4	5	1	214	281	280	560	66	253	20	7	249	55	-24	+1	—	—	+10	-1.4
2025	22	AAA MLE	Oklahoma City Comets	—	242	231	48	10	0	3	7	56	0	1	0	208	231	290	521	82	251	23	3	230	42	-17	+0	—	—	+5	-1.2
2025	22	AA MLE	Tulsa Drillers	—	111	106	29	3	1	1	4	30	1	0	0	274	306	349	655	75	369	27	4	279	75	-3	+0	—	—	+2	-0.1
2025	22	ROK MLE	ACL Dodgers	—	31	27	8	2	1	0	3	1	0	0	0	296	367	444	811	148	256	3	10	324	105	+0	+0	—	—	+1	0.1
2021	18	ROK MLE	FCL Twins	—	96	87	15	2	1	1	6	38	1	1	1	172	234	253	487	80	286	40	6	212	30	—	—	—	—	—	—
2021	18	ROK RAW	FCL Twins	—	96	84	20	3	1	2	9	26	1	1	1	238	319	369	688	131	316	27	9	305	30	—	—	—	—	—	—
2022	19	A MLE	Fort Myers Mighty Mussels	—	469	404	68	11	3	2	55	158	6	23	7	168	277	225	503	57	266	34	12	237	47	—	—	—	—	—	—
2022	19	A RAW	Fort Myers Mighty Mussels	—	469	383	81	12	4	2	76	110	6	23	7	211	351	279	630	68	287	23	16	300	47	—	—	—	—	—	—
2023	20	A+ MLE	Cedar Rapids Kernels	—	526	477	86	15	4	6	43	149	1	12	3	180	250	266	516	86	245	28	8	229	41	—	—	—	—	—	—
2023	20	A+ RAW	Cedar Rapids Kernels	—	526	462	103	20	5	8	58	108	1	12	3	223	311	340	651	117	271	21	11	295	41	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	590	542	112	16	0	5	38	126	4	7	3	207	264	264	528	57	257	21	6	236	46	—	—	—	—	—	—
2024	21	A+ RAW	2 teams	—	590	524	128	19	0	6	55	94	4	7	3	244	320	315	635	71	284	16	9	291	46	—	—	—	—	—	—
2025	22	AAA MLE	3 teams	—	384	364	85	14	2	4	14	87	1	1	0	234	264	316	580	82	291	23	4	252	57	—	—	—	—	—	—
2025	22	AAA RAW	3 teams	—	384	354	92	17	2	5	23	69	1	1	0	260	306	362	668	102	305	18	6	296	57	—	—	—	—	—	—
2021	18	ROK MLE	FCL Twins	—	96	89	15	2	1	1	6	38	1	1	1	169	234	247	481	79	257	40	6	212	30	—	—	—	—	—	—
2022	19	A MLE	Fort Myers Mighty Mussels	—	469	405	68	11	3	2	55	158	6	23	7	168	277	225	502	57	262	34	12	237	47	—	—	—	—	—	—
2023	20	A+ MLE	Cedar Rapids Kernels	—	526	477	86	15	4	6	43	149	1	12	3	180	250	266	516	86	241	28	8	229	41	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	590	543	112	16	0	5	38	126	4	7	3	206	264	263	527	57	253	21	6	236	46	—	—	—	—	—	—
2025	22	AAA MLE	3 teams	—	384	366	85	14	2	4	14	87	1	1	0	232	264	314	578	82	286	23	4	252	57	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	20	A+ MLE	Cedar Rapids Kernels	—	526	477	86	15	4	6	43	149	1	12	3	180	250	266	516	86	241	28	8	229	41	—	—	—	—	—	—
2024	21	A+ MLE	2 teams	—	590	543	112	16	0	5	38	126	4	7	3	206	264	263	527	57	253	21	6	236	46	—	—	—	—	—	—
2025	22	AAA MLE	3 teams	—	384	366	85	14	2	4	14	87	1	1	0	232	264	314	578	82	286	23	4	252	57	—	—	—	—	—	—
YTD	23	AAA MLE	LAD	—	558	509	108	17	7	8	37	130	0	4	0	212	266	320	586	108	262	23	7	256	59	-27	+1	+0	+6	+12	-0.8
▸ 2026 season
YTD	23	AAA RAW	LAD	—	558	492	125	21	9	10	53	101	0	4	0	254	326	394	720	140	294	18	9	316	59	—	—	—	—	—	—
ROS	23	AAA MLE	LAD	10%	10	9	1	0	0	0	1	2	0	0	0	111	200	111	311		262	20	10	256	59	-0	+0	+0	+0	+0	-0.0
▸ 2026 season — projected rest
ROS	23	MLB CTX	LAD	10%	1	1	0	0	0	0	0	0	0	0	0						257	0	0	251	59	-0	+0	+0	+0	+0	-0.0
FULL	23	MLB A+C	LAD	—	1	1	0	0	0	0	0	0	0	0	0							0	0	251	59	-0	+0	+0	+0	+0	-0.0
TOT	23	AAA MLE	LAD	—	568	518	109	17	7	8	38	132	0	4	0	210	264	317	581	106	260	23	7	256	59	-27	+1	+0	+6	+12	-0.8
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	LAD	28%	457	423	91	15	4	8	30	103	1	3	0	215	269	326	595	111	265	23	7	268	67	-18	+1	+5	+5	+10	0.3
2028	25	MLB MLE	LAD	38%	485	448	97	16	4	9	33	108	1	3	0	217	272	330	602	114	267	22	7	275	72	-16	+1	+5	+5	+11	0.6
2029	26	MLB MLE	LAD	44%	500	459	102	17	5	10	35	111	2	3	0	222	280	346	627	124	269	22	7	279	75	-15	+1	+5	+5	+11	0.7
2030	27	MLB MLE	LAD	46%	505	462	102	17	4	10	36	113	2	3	0	221	280	340	620	119	269	22	7	280	76	-15	+1	+5	+5	+11	0.8
2031	28	MLB MLE	LAD	47%	503	459	101	17	4	10	37	113	2	3	0	220	281	340	621	120	269	22	7	279	75	-15	+1	+5	+5	+11	0.7
2032	29	MLB MLE	LAD	47%	495	454	100	17	4	10	36	112	2	3	0	220	280	341	622	121	268	23	7	278	74	-15	+1	+4	+5	+11	0.5
2033	30	MLB MLE	LAD	47%	486	445	97	16	4	9	36	111	2	3	0	218	280	333	612	115	267	23	7	275	72	-16	+1	+3	+5	+11	0.4
2027	24	MLB CTX	LAD	28%	126	117	25	4	1	2	8	28	0	1	0	214	264	316	580	103	260	22	6	263	67	-5	+0	+1	+1	+3	0.1
2028	25	MLB CTX	LAD	38%	183	167	37	6	1	4	13	41	1	1	0	222	282	341	623	120	263	22	7	270	72	-6	+0	+2	+2	+4	0.2
2029	26	MLB CTX	LAD	44%	218	200	44	7	2	5	15	48	1	1	0	220	278	350	628	130	264	22	7	274	75	-7	+0	+2	+2	+5	0.3
2030	27	MLB CTX	LAD	46%	231	211	47	8	2	5	17	52	1	2	0	223	284	351	635	128	264	23	7	275	76	-7	+0	+2	+2	+5	0.4
2031	28	MLB CTX	LAD	47%	237	217	48	8	2	5	17	53	1	2	0	221	281	346	626	124	264	22	7	274	75	-7	+0	+2	+3	+5	0.3
2032	29	MLB CTX	LAD	47%	232	212	47	8	2	5	17	53	1	1	0	222	283	349	632	127	263	23	7	273	74	-7	+0	+2	+2	+5	0.2
2033	30	MLB CTX	LAD	47%	226	206	44	7	2	4	17	52	1	1	0	214	277	325	602	112	262	23	8	270	72	-7	+0	+1	+2	+5	0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1454	1331	292	48	12	30	104	327	6	9	0	219	279	341	620	122	267	22	7	272	63	-46	+2	+14	+16	+32	1.7
/ 162G	—	A+C		—	650	595	129	21	5	13	46	146	3	4	0	217	276	334	611	118	264	22	7	272	63	-20	+1	+6	+7	+14	0.8
Career	—	MLE		—	5506	5033	1057	173	39	84	400	1331	25	65	14	210	272	310	581	100	266	24	7	261	63	-110	+4	+33	+37	+75	3.9
/ 162G	—	MLE		—	650	594	125	20	5	10	47	157	3	8	2	210	272	311	583	101	267	24	7	261	63	-21	+1	+6	+7	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Adeiny Hechavarríalast yr '20 career totals — 9 seasons, 3,288 PA	5.0	3,288	37	35	253	291	351	+32	+46	8.6	8.8
/162	664	7	7	+6.5	+9.3	1.7	pk7: 9
#2Darwin Barneylast yr '17 career totals — 7 seasons, 2,729 PA	4.1	2,729	29	29	246	294	339	+10	+46	6.5	6.5
/162	664	7	7	+2.5	+11.2	1.6	pk7: 7
#3Ronny 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
#4Yolmer 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
#5Adam 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
#6Ryan 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 3 projected seasons	2.2	1,486	29	9	221	276	341	+16	+19	1.1	1.2
/162	664	13	4	+7.1	+8.6	0.5	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 Miller (OGILVIE)	23	40→45	30	50→46	50	209/259/306	97	262	4	2	23%	6%	59	-0.9	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Fernando Flores 2015 · AAA	23	49	37→40	42→40	43	231/264/305	74	275	5	5	18%	4%	59	-1.6	245/277/332	87	292	6	4	18%	4%	71	-0.8	252/281/338	86	300	6	2	18%	3%	72	-0.4
✕Yonathan Mendoza 2017 · AA	23	51	36→30	46→45	47	238/289/299	61	288	3	5	18%	6%	68	-1.0	238/287/293	55	290	4	6	18%	6%	66	-1.1	234/285/276	42	286	3	5	18%	7%	58	-1.0
✕Rafael Marchán 2022 · MLB	23	43	36→45	45→40	46	202/258/262	60	248	3	5	20%	6%	49	-2.4	215/282/310	95	247	7	5	16%	7%	70	-0.9	226/305/329	102	258	9	2	16%	8%	81	-0.0
✕Manuel Bobadilla 2007 · AAA	23	42	39→40	47→45	47	203/257/283	81	237	6	9	18%	6%	53	-2.1	219/289/322	103	276	10	6	23%	8%	75	-0.5	234/307/331	97	291	9	4	21%	8%	81	-0.0
✕Angelo Amendolare 2016 · AAA	23	47	37→30	44→50	51	222/296/295	74	266	4	7	18%	8%	71	-0.8	229/301/299	70	308	3	9	25%	8%	74	-0.6	241/319/285	44	333	0	10	25%	8%	73	-0.2
✕Jose Reyes 2007 · AAA	23	49	35→30	41→45	45	229/269/285	56	271	3	6	17%	5%	57	-1.8	220/268/312	92	272	8	8	21%	6%	63	-1.3	193/235/280	88	234	10	6	22%	5%	45	-0.6
✕Rey Navarro 2013 · AAA	23	48→51	39→45	47→50	45	228/269/316	87	259	7	9	15%	4%	64	-1.3	239/274/346	107	267	10	7	14%	4%	74	-0.6	240/273/349	109	266	10	5	14%	4%	71	-0.6
✕Chace Numata 2016 · A	23	48	36→40	49→40	46	228/278/295	67	274	3	5	18%	6%	63	-1.3	238/287/317	79	284	4	4	16%	6%	72	-0.7	235/284/315	80	276	3	2	16%	6%	68	-0.5
✕Sergio Burruel 2014 · AAA	23	44	36→30	50→30	43	209/267/275	66	286	3	8	27%	7%	55	-2.0	236/283/304	68	308	5	5	24%	5%	67	-1.1	242/305/311	69	297	6	1	19%	7%	75	-0.2
✕Noe Becerra 2010 · AAA	23	44	39→30	43→40	49	213/278/291	78	269	7	7	23%	8%	63	-1.4	236/289/321	85	277	7	7	16%	7%	74	-0.6	282/332/341	59	319	2	0	12%	6%	93	+0.3
✕Angelo Mora 2016 · AA	23	50→51	38→45	43→45	41	235/275/326	91	305	4	6	24%	5%	69	-0.9	236/271/335	99	307	6	6	24%	5%	70	-0.9	231/264/333	102	297	8	7	25%	4%	64	-0.8
✕Jose R. Flores 2012 · AA	24	48→50	39→40	48→45	46	229/279/314	85	274	7	8	19%	6%	68	-1.0	225/274/305	80	276	5	7	19%	6%	64	-1.3	233/277/302	69	283	2	5	18%	5%	63	-0.9
✕Chuck Taylor 2017 · AA	23	47→56	37→40	44→50	46	222/286/296	74	290	4	7	24%	7%	67	-1.1	234/294/323	89	294	7	5	21%	7%	76	-0.4	232/293/320	88	289	7	4	21%	7%	72	-0.6
✕Gilberto Galaviz 2015 · AAA	23	47	41→40	47→30	41	231/267/331	100	276	9	6	20%	4%	68	-1.0	249/288/328	79	286	6	5	15%	4%	74	-0.5	257/294/301	45	287	3	1	11%	3%	68	-0.4
✕Jose Coronado 2009 · AA	23	48→54	34→30	45→50	44	226/273/278	52	289	2	7	22%	6%	57	-1.8	227/275/291	64	290	3	8	21%	6%	61	-1.5	220/270/280	60	282	3	6	22%	6%	55	-1.3
✕Edson Garcia 2016 · AAA	23	46→48	38→40	45	51	214/275/291	77	247	5	10	16%	7%	61	-1.5	222/278/326	104	257	8	11	16%	6%	71	-0.8	219/281/333	114	261	9	9	19%	6%	72	-0.4
✕Riley Unroe 2019 · AAA	23	41→48	37→45	46→55	45	196/266/268	71	281	5	12	30%	8%	53	-2.1	217/278/313	96	294	8	11	27%	7%	68	-1.0	221/306/334	113	298	11	26	27%	10%	81	-0.0
✕Felix Molina 2006 · AA	23	49→51	39→45	41→45	46	234/284/326	92	285	5	5	19%	6%	72	-0.7	239/278/338	99	287	8	8	19%	5%	73	-0.6	239/276/335	95	285	7	8	18%	4%	69	-0.7
✕Louis Ott 2008 · A	23	47→48	39→30	45	45	225/288/305	81	300	6	8	26%	7%	70	-0.8	228/301/297	69	326	4	7	28%	9%	73	-0.6	228/307/282	54	330	3	6	29%	10%	69	-0.5
✕Humberto Castro 2014 · AAA	23	47	38→30	50→45	43	225/272/299	74	264	6	8	17%	4%	62	-1.4	235/288/313	78	290	5	8	20%	5%	72	-0.7	263/320/320	57	310	3	5	15%	5%	81	-0.0

Career Stats + Projections

Career Comps

Career Path Comps