Malcolm Moore — OGILVIE

Malcolm MooreC Hub City Spartanburgers

Age 23 L/R 6'0" / 216 lbs A+ HR +15%BB +5% Svc 0.0 · Ctrl thru 2032

2026 ROS PROJECTION423 act + 9 ros · stats below = ROS only

showingROS

wRC+†77

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

PA9

HR0

K%22

BB%11

BABIP266

ISO112

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$11M ctrl surplus

Tools · ContractCON 42 / POW 44

Toolsscout grade

CONTACT42

scouting grade only

POWER44

scouting grade only

EYE50

scouting grade only

SPEED30

scouting grade only

DEFENSE43

scouting grade only

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

Status MiLB

MLB Debut 2027

Service 0 yrs (est)

Team Control Through 2032

First FA Year 2033

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2027
2027	Pre-Arb	$0.8M	+0.2	$0.7M	+$0.0M
2028	Pre-Arb	$0.8M	+0.5	$2M	+$1M
2029	Pre-Arb	$0.8M	+0.6	$2M	+$1M
2030	Arb-1	$3M	+0.7	$2M	+$0.4M
2031	Arb-2	$4M	+0.6	$2M	+$0.0M (cut)
2032	Arb-3	$5M	+0.5	$1M	+$0.0M (cut)
Totals		$5M		$9M	+$3M

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	21	A+	Hickory Crawdads	—	104	91	19	6	0	3	8	29	4	3	1	209	301	374	675	165	267	28	8	303	91	-1	+0	—	—	+2	0.1
2025	22	A+	Hub City Spartanburgers	—	242	207	41	9	0	2	20	47	10	4	1	198	300	271	570	72	239	19	8	265	66	-10	+0	—	—	+5	-0.4
2025	22	ROK	ACL Rangers	—	21	14	2	0	0	1	6	4	0	1	0	143	400	357	757	214	100	19	29	342	117	+0	+0	—	—	+0	0.1
2025	22	INTL	Surprise Saguaros	—	69	61	13	4	0	1	3	22	3	0	1	213	284	328	611	115	300	32	4	272	70	-2	-0	—	—	+1	-0.1
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	21	A+ MLE	Hickory Crawdads	—	104	94	15	5	0	2	5	39	4	3	1	160	233	277	510	117	231	38	5	224	38	-8	+0	—	—	+2	-0.5
2025	22	A+ MLE	Hub City Spartanburgers	—	242	214	35	8	0	1	13	61	10	4	1	164	245	215	460	51	204	25	5	208	27	-21	+0	—	—	+5	-1.6
2025	22	ROK MLE	ACL Rangers	—	21	16	2	0	0	1	4	6	0	1	0	125	300	312	613	188	81	29	19	237	47	-1	+0	—	—	+0	-0.1
2024	21	A+ MLE	Hickory Crawdads	—	104	94	15	5	0	2	5	39	4	3	1	160	233	277	510	117	241	38	5	224	38	—	—	—	—	—	—
2024	21	A+ RAW	Hickory Crawdads	—	104	91	19	6	0	3	8	29	4	3	1	209	301	374	675	165	267	28	8	303	38	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	332	291	47	10	0	3	20	85	13	5	2	162	247	227	474	65	209	26	6	210	28	—	—	—	—	—	—
2025	22	A+ RAW	3 teams	—	332	282	56	13	0	4	29	73	13	5	2	199	302	287	590	89	244	22	9	271	28	—	—	—	—	—	—
2024	21	A+ MLE	Hickory Crawdads	—	104	94	15	5	0	2	5	39	4	3	1	160	233	277	510	117	231	38	5	224	38	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	332	296	47	10	0	3	20	85	13	5	2	159	247	223	470	64	194	26	6	210	28	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	21	A+ MLE	Hickory Crawdads	—	104	94	15	5	0	2	5	39	4	3	1	160	233	277	510	117	231	38	5	224	38	—	—	—	—	—	—
2025	22	A+ MLE	3 teams	—	332	296	47	10	0	3	20	85	13	5	2	159	247	223	470	64	194	26	6	210	28	—	—	—	—	—	—
YTD	23	A+ MLE	TEX	—	423	381	79	19	1	14	25	117	16	0	2	207	284	373	657	165	259	28	6	283	77	-11	-1	+0	+8	+9	0.5
▸ 2026 season
YTD	23	A+ RAW	TEX	—	217	190	57	16	0	10	20	42	7	0	0	300	387	542	929	242	341	19	9	408	77	—	—	—	—	—	—
YTD	23	AA RAW	TEX	—	206	179	39	9	1	8	17	50	9	0	2	218	317	413	730	196	254	24	8	327	77	—	—	—	—	—	—
ROS	23	A+ MLE	TEX	0%	9	8	1	0	0	0	1	2	0	0	0	125	222	125	347		263	22	11	282	77	-0	+0	-0	+0	+0	0.0
TOT	23	A+ MLE	TEX	—	432	389	80	19	1	14	26	119	16	0	2	206	283	368	651	162	257	28	6	283	77	-12	-1	-0	+8	+9	0.5
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	24	MLB MLE	TEX	38%	387	348	74	17	1	10	25	101	11	2	2	213	286	353	640	141	265	26	6	288	81	-9	-0	-1	+7	+8	0.6
2028	25	MLB MLE	TEX	55%	424	382	83	19	1	12	28	108	11	3	2	217	290	366	656	149	267	25	7	293	84	-8	-0	-1	+8	+9	0.8
2029	26	MLB MLE	TEX	64%	447	403	88	20	1	13	30	113	11	3	2	218	291	370	660	151	269	25	7	296	86	-7	-0	-1	+8	+10	1.0
2030	27	MLB MLE	TEX	66%	453	408	89	20	1	13	31	115	11	3	2	218	291	368	659	150	269	25	7	297	87	-7	-0	-1	+8	+10	1.0
2031	28	MLB MLE	TEX	67%	452	406	88	20	1	13	32	115	11	3	2	217	292	367	659	150	268	25	7	296	86	-7	-0	-1	+8	+10	0.9
2032	29	MLB MLE	TEX	66%	444	399	85	19	1	12	31	114	11	3	2	213	288	356	644	143	268	26	7	294	85	-8	-0	-2	+8	+10	0.7
2033	30	MLB MLE	TEX	65%	435	390	84	19	1	12	31	113	11	3	2	215	292	362	653	146	266	26	7	291	83	-9	-0	-3	+8	+9	0.6
2034	31	MLB MLE	TEX	65%	409	367	77	17	1	11	29	107	10	3	2	210	286	351	637	142	264	26	7	287	80	-10	-0	-3	+7	+9	0.3
2035	32	MLB MLE	TEX	65%	379	340	70	15	1	10	27	101	9	2	2	206	282	344	626	138	260	27	7	281	76	-11	-0	-4	+7	+8	-0.0
2036	33	MLB MLE	TEX	70%	340	305	61	13	1	8	24	92	8	2	1	200	276	328	604	128	256	27	7	274	72	-11	+0	-5	+6	+7	-0.3
2027	24	MLB CTX	TEX	38%	147	133	28	7	0	4	9	38	4	1	1	211	281	353	634	143	268	26	6	273	81	-3	-0	-0	+3	+3	0.2
2028	25	MLB CTX	TEX	55%	235	211	46	10	1	7	16	60	6	1	1	218	292	374	666	156	270	26	7	279	84	-4	-0	-0	+4	+5	0.5
2029	26	MLB CTX	TEX	64%	285	257	58	13	1	9	19	72	7	2	1	226	297	389	686	163	271	25	7	282	86	-5	+0	-0	+5	+6	0.6
2030	27	MLB CTX	TEX	66%	298	267	59	13	1	9	21	76	8	2	1	221	297	378	676	157	271	26	7	283	87	-5	+0	-0	+5	+6	0.7
2031	28	MLB CTX	TEX	67%	302	270	60	13	1	9	21	77	8	2	1	222	298	378	675	156	271	25	7	282	86	-5	+0	-1	+5	+7	0.6
2032	29	MLB CTX	TEX	66%	292	262	58	13	1	9	21	75	7	2	1	221	297	382	678	160	270	26	7	280	85	-5	+0	-1	+5	+6	0.5
2033	30	MLB CTX	TEX	65%	283	254	55	12	1	8	20	73	7	2	1	217	292	366	658	150	269	26	7	278	83	-6	+0	-2	+5	+6	0.4
2034	31	MLB CTX	TEX	65%	265	237	49	11	0	7	19	70	7	2	1	207	285	342	627	135	266	26	7	274	80	-6	+0	-2	+5	+6	0.2
2035	32	MLB CTX	TEX	65%	245	220	46	10	0	7	17	65	6	1	1	209	284	350	634	141	262	27	7	268	76	-7	-0	-3	+4	+5	-0.0
2036	33	MLB CTX	TEX	70%	238	213	43	9	0	6	17	65	6	1	1	202	280	329	608	127	258	27	7	261	72	-8	-0	-3	+4	+5	-0.2
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2590	2324	502	111	6	75	180	671	66	16	10	216	291	366	657	150	269	26	7	277	78	-54	-1	-13	+46	+56	3.5
/ 162G	—	A+C		—	650	583	127	28	2	19	45	168	17	4	3	218	293	370	664	153	271	26	7	277	78	-14	-0	-3	+12	+14	0.9
Career	—	MLE		—	4615	4141	862	194	10	119	314	1205	121	35	22	208	283	346	629	138	261	26	7	283	78	-87	-2	-21	+75	+91	5.6
/ 162G	—	MLE		—	650	583	121	27	1	17	44	170	17	5	3	208	282	345	627	137	260	26	7	283	78	-14	-0	-3	+12	+14	0.9

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Rod Barajaslast yr '12 career totals — 12 seasons, 3,753 PA	5.7	3,753	134	2	235	284	407	+60	+30	15.8	16.0
/162	664	24	0	+10.7	+5.3	2.8	pk7: 16
#2John Bucklast yr '14 career totals — 11 seasons, 4,009 PA	6.0	4,009	134	6	234	301	398	+72	+7	16.9	15.7
/162	664	22	1	+11.9	+1.2	2.8	pk7: 14
#3Jarrod Saltalamacchialast yr '16 career totals — 9 seasons, 3,127 PA	4.7	3,127	110	5	235	308	414	+56	-10	14.1	14.8
/162	664	23	1	+11.9	-2.1	3.0	pk7: 16
#4Nick Hundleylast yr '19 career totals — 12 seasons, 3,373 PA	5.1	3,373	93	15	247	299	405	+60	-31	10.3	10.8
/162	664	18	3	+11.9	-6.0	2.0	pk7: 11
#5Stephen Vogtlast yr '22 career totals — 9 seasons, 2,571 PA	3.9	2,571	82	5	241	303	410	+36	-11	9.3	9.4
/162	664	21	1	+9.2	-2.8	2.4	pk7: 9
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 6 projected seasons	3.9	2,591	70	17	214	286	358	+46	-16	6.0	5.6
/162	664	18	4	+11.9	-4.1	1.5	pk7: 5
#6J.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

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
Malcolm Moore (OGILVIE)	23	30→42	35→44	30	50	206/279/342	136	263	8	2	27%	6%	77	-0.2	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Drew Ellis 2019 · A	23	40→37	47→55	37→40	45	205/268/342	138	254	15	4	26%	7%	72	-0.7	205/283/350	145	268	16	3	28%	9%	80	-0.2	183/280/352	170	235	19	4	30%	10%	78	-0.2
✕Jakson Reetz 2019 · A	23	41→33	40→55	39→45	43	198/274/287	88	281	8	5	30%	7%	61	-1.5	198/277/315	117	286	12	5	33%	7%	70	-0.9	193/274/380	187	243	23	4	31%	7%	81	-0.0
✕Bruce Maxwell 2015 · AA	24	46→49	39→45	39→30	46	220/279/304	84	285	7	2	25%	8%	66	-1.1	236/294/335	99	299	9	2	23%	8%	79	-0.2	245/307/351	106	304	10	0	21%	8%	85	+0.1
✕Mitchell Tolman 2017 · A	23	45→47	40→45	39→50	51	214/284/298	84	251	8	7	18%	8%	67	-1.1	216/289/307	91	292	8	9	26%	8%	71	-0.8	217/287/331	114	285	10	8	26%	7%	73	-0.4
✕Brady Whalen 2021 · A	23	42→49	40→45	39→40	44	204/265/295	91	271	7	3	27%	7%	59	-1.7	221/276/341	120	278	12	7	24%	6%	74	-0.6	222/277/350	127	272	13	7	23%	6%	73	-0.3
✕Jack Mayfield 2015 · A	24	44→46	43→55	37→50	42	218/267/330	111	277	9	5	24%	5%	68	-1.0	220/266/346	126	270	14	6	24%	5%	72	-0.7	221/268/397	176	255	22	7	23%	5%	83	+0.1
✕Wyatt Toregas 2007 · AA	24	46→40	41→45	37→40	44	226/278/328	102	282	9	3	23%	6%	72	-0.7	224/277/338	114	264	12	4	20%	6%	74	-0.6	212/266/326	114	243	14	1	19%	5%	66	-0.5
✕Blake Ochoa 2009 · A	23	44	40→45	40	45	213/266/308	96	269	8	5	24%	6%	62	-1.4	237/297/380	143	290	16	5	23%	7%	91	+0.6	247/311/417	170	291	21	2	22%	7%	105	+0.5
✕Renae Martinez 2018 · A	24	45→32	44→45	40	44	225/279/335	110	276	12	5	23%	6%	74	-0.6	214/274/321	107	285	10	3	27%	6%	69	-0.9	194/260/302	108	265	11	2	30%	7%	57	-1.0
✕Michael Paez 2019 · A	24	43	43→40	37→40	46	212/283/323	111	273	10	5	25%	8%	73	-0.6	207/269/296	89	259	7	5	22%	7%	61	-1.5	187/247/251	64	226	4	0	18%	6%	39	-1.8
✕Peter Maris 2017 · A	23	46→50	38→45	41→50	48	221/279/300	79	271	6	6	20%	7%	65	-1.2	228/286/342	114	275	11	9	20%	7%	78	-0.3	213/273/360	147	272	16	7	27%	7%	75	-0.2
✕Brett Pope 2019 · A	23	47	38→40	39→50	48	222/295/303	81	293	5	8	25%	8%	72	-0.7	216/276/296	80	285	5	10	24%	7%	63	-1.3	206/262/271	65	269	4	10	23%	6%	49	-1.3
✕Anderson Hidalgo 2012 · A	23	49	41→45	35→50	42	233/282/339	105	300	8	3	24%	6%	75	-0.5	211/264/302	91	277	7	4	25%	6%	60	-1.6	186/239/256	70	241	5	1	24%	5%	39	-1.7
✕Rio Ruiz 2017 · AAA	23	49→52	40→50	38→40	48	234/298/332	97	301	7	3	24%	8%	80	-0.2	221/278/335	114	283	11	3	25%	7%	73	-0.6	218/284/357	138	259	16	3	22%	8%	79	-0.1
✕Daniel Vellojin 2023 · AA	23	39	45	42→45	51	196/292/318	122	278	13	6	32%	12%	76	-0.4	179/261/272	93	255	9	6	31%	9%	53	-2.1	154/237/226	72	219	7	4	31%	9%	32	-1.3
✕Jason Vosler 2018 · AA	24	40→44	46→55	41→40	43	206/271/330	125	256	13	3	25%	6%	70	-0.8	208/269/364	156	282	19	3	32%	7%	78	-0.3	213/279/377	164	265	21	3	28%	7%	81	-0.1
✕Matt Kennelly 2012 · AA	23	44	39→40	36→40	43	215/267/294	79	283	7	3	26%	6%	59	-1.6	222/275/298	76	275	4	6	20%	6%	63	-1.4	218/274/265	48	268	1	2	18%	6%	52	-1.0
✕John Whittleman 2010 · AA	23	41→43	43→50	41→45	51	202/285/315	113	271	10	4	28%	10%	72	-0.7	189/270/325	136	257	15	3	31%	10%	69	-0.9	174/260/322	148	233	18	1	32%	10%	63	-1.0
✕Pedro Pagés 2022 · A	23	43→45	43→50	42→40	42	211/278/315	104	301	11	4	32%	7%	69	-0.9	213/277/334	121	292	13	4	30%	7%	73	-0.6	227/286/364	137	285	17	2	26%	7%	81	-0.0
✕Zach Fisher 2014 · A	22	43	43→50	43→30	45	213/267/330	117	256	10	3	21%	6%	68	-1.0	230/281/356	126	294	12	4	25%	6%	79	-0.2	247/294/394	146	309	16	0	25%	6%	89	+0.2

Career Stats + Projections

Career Comps

Career Path Comps