Armstrong Muhoozi

Armstrong MuhooziSS FCL Pirates

Age 19 R/R 5'11" / 180 lbs ROK HR -15%K -5% Svc 0.0 · Ctrl thru 2037

2026 ROS PROJECTION52 act + 10 ros · stats below = ROS only

showingROS

wRC+†53

AVG/OBP/SLG.111 / .200 / .111

PA10

HR0

K%30

BB%10

BABIP282

ISO79

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$6M ctrl surplus

Tools · Contract

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	MiLB	still in minors · estimated debut 2032
2029	MiLB	still in minors · estimated debut 2032
2030	MiLB	still in minors · estimated debut 2032
2031	MiLB	still in minors · estimated debut 2032
2032	Pre-Arb	$0.9M	+0.3	$0.8M	+$0.3M
2033	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2034	Pre-Arb	$1.0M	+0.3	$0.7M	+$0.2M
2035	Arb-1	$2M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-2	$3M	+0.2	$0.4M	+$0.0M (cut)
2037	Arb-3	$2M	+0.1	$0.2M	+$0.0M (cut)
Totals		$3M		$3M	+$0.7M

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)
2025	18	ROK	DSL Pirates Gold	—	142	118	29	6	1	1	15	28	5	24	4	246	355	339	694	93	308	20	11	314	98	-0	+3	—	—	+3	0.6
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2025	18	ROK MLE	DSL Pirates Gold	—	142	124	23	4	1	1	9	41	5	24	4	185	268	258	526	73	244	29	6	223	37	-11	+3	—	—	+3	-0.4
2025	18	ROK MLE	DSL Pirates Gold	—	142	124	23	4	1	1	9	41	5	24	4	185	268	258	526	73	262	29	6	223	37	—	—	—	—	—	—
2025	18	ROK RAW	DSL Pirates Gold	—	142	118	29	6	1	1	15	28	5	24	4	246	355	339	694	93	308	20	11	314	37	—	—	—	—	—	—
2025	18	ROK MLE	DSL Pirates Gold	—	142	127	23	4	1	1	9	41	5	24	4	181	268	252	520	71	244	29	6	223	37	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2025	18	ROK MLE	DSL Pirates Gold	—	142	127	23	4	1	1	9	41	5	24	4	181	268	252	520	71	244	29	6	223	37	—	—	—	—	—	—
YTD	19	ROK MLE	PIT	—	52	48	7	0	1	0	3	20	0	2	2	146	196	188	384	42	250	38	6	160	-6	-7	-0	+0	+1	+1	-0.5
▸ 2026 season
YTD	19	ROK RAW	PIT	—	52	46	9	0	1	0	5	14	0	2	2	196	275	239	514	43	281	27	10	237	-6	—	—	—	—	—	—
ROS	19	ROK MLE	PIT	0%	10	9	1	0	0	0	1	3	0	0	0	111	200	111	311		283	30	10	246	53	-1	+0	+0	+0	+0	-0.0
TOT	19	ROK MLE	PIT	—	62	57	8	0	1	0	4	23	0	2	2	140	197	175	372	35	235	37	6	174	4	-7	-0	+0	+1	+1	-0.6
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	20	MLB MLE	PIT	34%	206	188	39	6	2	2	14	59	2	6	1	207	270	293	562	85	285	29	7	259	62	-9	+1	+0	+2	+4	-0.2
2028	21	MLB MLE	PIT	48%	337	306	65	10	3	5	24	94	4	9	2	212	278	314	592	101	287	28	7	269	68	-13	+1	+0	+4	+7	-0.1
2029	22	MLB MLE	PIT	54%	432	393	85	14	3	7	31	119	5	12	2	216	282	321	603	104	288	28	7	275	72	-14	+2	+0	+5	+9	0.1
2030	23	MLB MLE	PIT	57%	495	450	99	16	4	9	36	135	6	14	3	220	287	333	620	113	289	27	7	279	75	-15	+2	+0	+5	+11	0.3
2031	24	MLB MLE	PIT	57%	537	486	107	17	4	10	39	146	7	15	3	220	288	333	621	113	290	27	7	282	77	-15	+2	+0	+6	+12	0.4
2032	25	MLB MLE	PIT	57%	561	508	112	18	4	11	41	152	7	15	3	220	288	337	624	116	290	27	7	283	78	-15	+2	+0	+6	+12	0.5
2033	26	MLB MLE	PIT	56%	574	520	115	18	4	12	42	156	7	16	3	221	288	340	629	119	290	27	7	285	79	-14	+2	+0	+6	+12	0.6
2034	27	MLB MLE	PIT	55%	578	523	115	18	4	12	43	157	7	16	3	220	288	338	626	119	290	27	7	285	79	-15	+2	+0	+6	+13	0.6
2035	28	MLB MLE	PIT	55%	575	519	115	18	4	12	44	157	7	15	3	222	291	341	632	119	290	27	8	284	78	-15	+2	-1	+6	+12	0.5
2036	29	MLB MLE	PIT	53%	567	512	112	18	4	11	43	156	7	14	3	219	288	334	622	115	289	28	8	282	77	-15	+2	-1	+6	+12	0.3
2037	30	MLB MLE	PIT	53%	557	502	109	17	4	11	43	155	7	12	2	217	288	333	621	116	288	28	8	280	75	-16	+2	-2	+6	+12	0.1
2027	20	MLB CTX	PIT	34%	71	65	14	2	1	1	5	20	1	2	0	215	282	323	605	108	284	28	7	248	62	-3	+0	+0	+1	+2	-0.1
2028	21	MLB CTX	PIT	48%	163	148	31	5	1	2	12	46	2	4	1	209	278	297	575	88	285	28	7	256	68	-6	+0	+0	+2	+4	-0.1
2029	22	MLB CTX	PIT	54%	234	212	46	7	2	4	17	64	3	6	1	217	284	325	610	108	286	27	7	262	72	-8	+1	+0	+3	+5	0.1
2030	23	MLB CTX	PIT	57%	280	254	55	9	2	5	20	76	4	8	1	217	284	327	611	110	287	27	7	266	75	-8	+1	+0	+3	+6	0.2
2031	24	MLB CTX	PIT	57%	304	275	60	10	2	5	22	83	4	8	2	218	286	324	609	105	288	27	7	268	77	-8	+1	+0	+3	+7	0.2
2032	25	MLB CTX	PIT	57%	317	287	63	10	2	6	23	86	4	9	2	220	287	331	618	111	288	27	7	270	78	-8	+1	+0	+3	+7	0.3
2033	26	MLB CTX	PIT	56%	324	293	63	10	2	6	24	88	4	9	2	215	283	324	608	109	288	27	7	271	79	-8	+1	+0	+3	+7	0.3
2034	27	MLB CTX	PIT	55%	320	289	63	10	2	6	24	87	4	9	2	218	287	329	616	111	288	27	8	271	79	-8	+1	+0	+3	+7	0.3
2035	28	MLB CTX	PIT	55%	316	285	62	10	2	6	24	87	4	8	2	218	288	330	617	112	288	28	8	270	78	-8	+1	-0	+3	+7	0.3
2036	29	MLB CTX	PIT	53%	303	273	59	9	2	6	23	84	4	7	1	216	287	330	616	114	287	28	8	269	77	-8	+1	-1	+3	+7	0.2
2037	30	MLB CTX	PIT	53%	293	265	57	9	2	5	22	82	4	6	1	215	285	321	606	106	286	28	8	266	75	-9	+1	-1	+3	+6	0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	2925	2646	573	91	20	52	216	803	38	76	15	217	285	325	610	108	288	27	7	267	75	-83	+9	-2	+31	+63	1.9
/ 162G	—	A+C		—	650	588	127	20	4	12	48	178	8	17	3	216	284	325	609	109	286	27	7	267	75	-19	+2	-0	+7	+14	0.4
Career	—	MLE		—	5571	5040	1097	174	41	103	410	1530	71	168	32	218	286	330	616	112	289	27	7	279	75	-157	+18	-4	+58	+118	3.3
/ 162G	—	MLE		—	650	588	128	20	5	12	48	179	8	20	4	218	286	330	616	112	289	28	7	279	75	-19	+2	-1	+7	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Danny Espinosalast yr '17 career totals — 8 seasons, 3,267 PA	4.9	3,267	98	64	221	297	378	+16	+36	11.0	11.4
/162	664	20	13	+3.2	+7.3	2.2	pk7: 12
#2Cliff Penningtonlast yr '17 career totals — 10 seasons, 3,108 PA	4.7	3,108	36	84	243	310	341	+28	+29	9.2	9.5
/162	664	8	18	+5.9	+6.2	2.0	pk7: 10
#3Gordon Beckhamlast yr '19 career totals — 10 seasons, 3,764 PA	5.7	3,764	80	34	237	301	368	+13	+19	8.2	8.4
/162	664	14	6	+2.4	+3.4	1.4	pk7: 9
#4Ronny 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
#5Yolmer 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
#6Adam 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	4.6	3,044	57	80	220	285	334	+33	+21	3.7	3.5
/162	664	12	17	+7.1	+4.6	0.8	pk7: 3

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
Armstrong Muhoozi (OGILVIE)	19	—	—	—	—	199/261/273	75	283	1	4	29%	7%	53	-0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Masyn Winn 2022 · A	20	42→52	39→50	57→55	42	201/259/292	90	285	6	22	30%	7%	56	-1.9	230/286/359	129	289	11	21	23%	7%	82	-0.0	252/312/373	121	300	11	11	19%	7%	93	+0.8
✕Jett Williams 2023 · A	19	45→44	41→45	56→55	44	216/286/317	101	287	8	14	26%	7%	73	-0.6	206/315/327	121	297	9	23	30%	12%	86	+0.3	203/309/335	132	285	10	26	29%	12%	83	+0.1
✕Ronaldo Urdaneta 2018 · A	19	42	37→40	54→60	45	200/270/270	70	284	4	22	29%	8%	55	-1.9	208/268/293	85	302	6	18	31%	7%	59	-1.6	157/239/224	68	251	6	32	37%	8%	33	-0.9
✕Gilberto Celestino 2018 · A	19	42→52	39→45	53→55	42	202/258/287	85	283	6	12	30%	7%	54	-2.0	216/266/306	90	282	7	10	24%	6%	61	-1.5	234/311/308	74	302	5	10	22%	9%	76	-0.2
✕Wendell Rijo 2015 · A	19	42→43	41→50	51→50	44	205/270/309	104	282	7	12	28%	7%	64	-1.3	200/251/288	88	282	6	11	30%	6%	52	-2.2	208/265/349	141	264	16	14	28%	6%	69	-0.6
✕Victor Tademo 2018 · A	19	39	37→40	52→55	37	189/240/263	74	277	4	14	32%	5%	42	-2.9	195/241/256	61	285	3	7	31%	5%	40	-3.0	181/217/201	20	252	0	3	27%	4%	17	-1.4
✕Delino DeShields 2012 · A	19	40→50	40→45	50→65	41	195/252/281	86	270	8	16	30%	6%	51	-2.2	228/294/330	102	309	8	38	27%	7%	78	-0.3	236/312/340	103	313	6	38	24%	9%	83	+0.1
✕Luis Vázquez 2019 · A	19	40→46	36→45	49→50	39	193/237/259	66	276	3	8	30%	5%	40	-3.1	205/251/277	72	282	5	10	28%	5%	49	-2.4	227/293/349	122	296	14	8	27%	6%	79	-0.1
✕Jason Lopez 2017 · A	19	40	38→50	49→45	43	195/258/270	75	266	5	11	28%	7%	51	-2.3	202/252/306	104	278	9	7	29%	5%	57	-1.8	161/223/251	90	239	8	7	35%	7%	32	-1.1
✕Gilbert Gomez 2011 · A	19	40→37	37→40	54→50	44	191/258/270	80	263	4	18	28%	7%	51	-2.2	202/266/283	81	296	5	9	31%	7%	57	-1.8	194/265/261	67	295	4	7	33%	8%	48	-1.4
✕Cristian Inoa 2018 · A	19	44	39→45	51→45	46	211/281/297	86	269	5	12	23%	7%	65	-1.2	207/279/289	82	278	4	8	25%	8%	63	-1.3	224/277/344	119	274	12	5	22%	5%	73	-0.4
✕Brennen Davis 2019 · A	19	48→41	36→50	51→45	46	221/299/289	68	305	3	12	26%	8%	71	-0.8	229/297/367	138	308	15	8	29%	7%	88	+0.5	183/283/356	173	231	23	4	31%	8%	81	-0.0
✕Charlie Culberson 2008 · A	19	45→52	37→45	60→50	41	210/271/293	83	300	4	18	30%	6%	61	-1.5	213/257/291	78	285	5	11	26%	4%	54	-2.0	254/306/422	167	324	18	9	26%	6%	98	+0.5
✕Eguy Rosario 2019 · A	19	41→51	40→55	47→55	39	198/251/292	94	281	7	13	31%	6%	53	-2.1	220/268/333	113	304	9	16	29%	6%	69	-0.9	224/286/367	142	294	14	21	28%	7%	82	-0.0
✕Ricardo Rosario 2022 · A	19	41	37→40	53→55	43	195/256/271	76	260	4	13	25%	6%	50	-2.3	197/266/280	83	273	6	17	28%	7%	56	-1.9	189/268/272	83	254	9	24	27%	8%	54	-0.8
✕Jorge Mateo 2013 · A	18	44→48	40→50	51→65	48	211/282/302	91	281	6	10	26%	9%	67	-1.1	211/270/308	97	287	7	34	27%	7%	64	-1.3	213/255/343	130	274	13	52	27%	5%	65	-0.4
✕Luis Andujar 2019 · A	19	42	37→40	53→50	38	197/250/268	71	300	4	9	34%	6%	47	-2.5	215/278/290	75	306	3	10	28%	7%	63	-1.4	221/291/292	71	306	2	12	26%	8%	68	-0.4
✕Jorge Alcantara 2011 · A	19	45	41→45	51→50	43	216/278/319	103	302	7	11	30%	7%	70	-0.9	198/267/295	97	299	7	13	33%	8%	60	-1.6	147/226/244	97	221	6	25	34%	8%	33	-1.0
✕Sergio Garcia 2010 · A	19	40	39→45	52→60	40	195/248/284	89	274	6	20	30%	6%	50	-2.3	189/240/278	89	271	9	23	32%	6%	46	-2.6	222/247/328	107	293	10	17	28%	3%	57	-0.8
✕Franklin Rollin 2015 · A	19	45	36→45	53→55	40	210/279/281	71	264	2	15	20%	4%	62	-1.4	233/284/318	85	282	4	17	18%	4%	71	-0.8	235/277/326	91	285	5	20	19%	4%	67	-0.6

Career Stats + Projections

Career Comps

Career Path Comps