Anthony Scull — OGILVIE

Anthony ScullCF Tri-City Dust Devils

Age 22 L/L 6'0" / 202 lbs A+ K +5%HR +4% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION371 act + 10 ros · stats below = ROS only

showingROS

wRC+†62

AVG/OBP/SLG.100 / .100 / .100

PA10

HR0

K%30

BB%4

BABIP283

ISO105

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 45 / POW 40

Toolsscout grade

CONTACT45

scouting grade only

POWER40

scouting grade only

EYE25

scouting grade only

SPEED45

scouting grade only

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

Status MiLB

MLB Debut 2030

Service 0 yrs (est)

Team Control Through 2035

First FA Year 2036

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2030
2027	MiLB	still in minors · estimated debut 2030
2028	MiLB	still in minors · estimated debut 2030
2029	MiLB	still in minors · estimated debut 2030
2030	Pre-Arb	$0.9M	—	—	—
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
Totals		$0.0M		$-0.3M	+$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	17	ROK	DSL Angels	—	35	26	3	0	1	0	3	11	2	3	0	115	242	192	435	77	176	31	9	200	21	-3	+1	—	—	+1	-0.2
2022	18	ROK	ACL Angels	—	42	37	11	0	2	0	5	12	0	1	1	297	381	405	786	108	440	29	12	354	126	+1	-0	—	—	+1	0.2
2023	19	ROK	ACL Angels	—	192	170	51	7	5	3	12	41	9	10	1	300	375	453	828	153	381	21	6	369	136	+8	+2	—	—	+4	1.4
2024	20	A	Inland Empire 66ers	—	543	471	124	23	5	7	39	108	23	24	7	263	347	378	725	115	323	20	7	326	107	+4	+2	—	—	+12	1.8
2025	21	A+	Tri-City Dust Devils	—	465	419	109	18	0	13	29	107	11	5	7	260	325	396	721	136	316	23	6	321	103	+2	-2	—	—	+10	1.0
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2021	17	ROK MLE	DSL Angels	—	35	29	3	0	1	0	2	16	2	3	0	103	212	172	385	69	142	46	6	155	-9	-5	+1	—	—	+1	-0.3
2022	18	ROK MLE	ACL Angels	—	42	39	7	0	1	0	3	17	0	1	1	179	238	231	469	51	347	40	7	230	42	-3	-0	—	—	+1	-0.2
2023	19	ROK MLE	ACL Angels	—	192	175	38	5	3	2	8	62	9	10	1	217	286	314	601	97	321	32	4	265	65	-8	+2	—	—	+4	-0.2
2024	20	A MLE	Inland Empire 66ers	—	543	487	105	17	3	7	26	151	23	24	7	216	287	306	593	90	283	28	5	261	63	-24	+2	—	—	+12	-1.0
2025	21	A+ MLE	Tri-City Dust Devils	—	465	429	85	13	0	10	19	147	11	5	7	198	251	298	549	100	262	32	4	238	47	-29	-2	—	—	+10	-2.1
2021	17	ROK MLE	DSL Angels	—	35	29	3	0	1	0	2	16	2	3	0	103	212	172	385	69	200	46	6	155	-9	—	—	—	—	—	—
2021	17	ROK RAW	DSL Angels	—	35	26	3	0	1	0	3	11	2	3	0	115	242	192	435	77	176	31	9	200	-9	—	—	—	—	—	—
2022	18	ROK MLE	ACL Angels	—	42	39	7	0	1	0	3	17	0	1	1	179	238	231	469	51	318	40	7	230	42	—	—	—	—	—	—
2022	18	ROK RAW	ACL Angels	—	42	37	11	0	2	0	5	12	0	1	1	297	381	405	786	108	440	29	12	354	42	—	—	—	—	—	—
2023	19	ROK MLE	ACL Angels	—	192	175	38	5	3	2	8	62	9	10	1	217	286	314	601	97	324	32	4	265	65	—	—	—	—	—	—
2023	19	ROK RAW	ACL Angels	—	192	170	51	7	5	3	12	41	9	10	1	300	375	453	828	153	381	21	6	369	65	—	—	—	—	—	—
2024	20	A MLE	Inland Empire 66ers	—	543	487	105	17	3	7	26	151	23	24	7	216	287	306	593	90	293	28	5	261	63	—	—	—	—	—	—
2024	20	A RAW	Inland Empire 66ers	—	543	471	124	23	5	7	39	108	23	24	7	263	347	378	725	115	323	20	7	326	63	—	—	—	—	—	—
2025	21	A+ MLE	Tri-City Dust Devils	—	465	429	85	13	0	10	19	147	11	5	7	198	251	298	549	100	271	32	4	238	47	—	—	—	—	—	—
2025	21	A+ RAW	Tri-City Dust Devils	—	465	419	109	18	0	13	29	107	11	5	7	260	325	396	721	136	316	23	6	321	47	—	—	—	—	—	—
2021	17	ROK MLE	DSL Angels	—	35	31	3	0	1	0	2	16	2	3	0	97	212	161	373	65	142	46	6	155	-9	—	—	—	—	—	—
2022	18	ROK MLE	ACL Angels	—	42	39	7	0	1	0	3	17	0	1	1	179	238	231	469	51	347	40	7	230	42	—	—	—	—	—	—
2023	19	ROK MLE	ACL Angels	—	192	173	38	5	3	2	8	62	9	10	1	220	286	318	604	98	321	32	4	265	65	—	—	—	—	—	—
2024	20	A MLE	Inland Empire 66ers	—	543	489	105	17	3	7	26	151	23	24	7	215	287	305	592	90	283	28	5	261	63	—	—	—	—	—	—
2025	21	A+ MLE	Tri-City Dust Devils	—	465	432	85	13	0	10	19	147	11	5	7	197	251	296	547	100	262	32	4	238	47	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	19	ROK MLE	ACL Angels	—	192	173	38	5	3	2	8	62	9	10	1	220	286	318	604	98	321	32	4	265	65	—	—	—	—	—	—
2024	20	A MLE	Inland Empire 66ers	—	543	489	105	17	3	7	26	151	23	24	7	215	287	305	592	90	283	28	5	261	63	—	—	—	—	—	—
2025	21	A+ MLE	Tri-City Dust Devils	—	465	432	85	13	0	10	19	147	11	5	7	197	251	296	547	100	262	32	4	238	47	—	—	—	—	—	—
YTD	22	A+ MLE	LAA	—	371	348	72	15	2	11	14	135	4	1	5	207	246	356	602	149	298	36	4	255	58	-18	-2	+0	+1	+8	-1.1
▸ 2026 season
YTD	22	A+ RAW	LAA	—	211	191	52	13	1	11	15	59	2	0	2	272	332	524	855	251	333	28	7	368	58	—	—	—	—	—	—
YTD	22	AA RAW	LAA	—	160	150	38	7	1	4	6	43	2	1	3	253	291	393	684	140	327	27	4	301	58	—	—	—	—	—	—
ROS	22	A+ MLE	LAA	0%	10	10	1	0	0	0	0	3	0	0	0	100	100	100	200		284	30	0	260	62	-0	+0	+0	+0	+0	-0.0
TOT	22	A+ MLE	LAA	—	381	358	73	15	2	11	14	138	4	1	5	204	242	349	591	145	292	36	4	255	58	-19	-2	+0	+1	+8	-1.1
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	23	MLB MLE	LAA	35%	524	487	103	19	2	14	24	161	8	5	5	211	260	345	605	133	283	31	5	269	69	-20	-1	+0	+2	+11	-0.8
2028	24	MLB MLE	LAA	46%	561	520	113	21	2	16	28	167	8	5	6	217	268	358	626	140	285	30	5	278	74	-17	-1	+0	+2	+12	-0.5
2029	25	MLB MLE	LAA	52%	582	537	118	22	2	17	31	170	9	6	6	220	274	363	637	143	285	29	5	282	77	-16	-1	+0	+2	+13	-0.2
2030	26	MLB MLE	LAA	54%	593	547	119	22	2	17	32	173	9	6	7	218	272	358	630	141	285	29	5	285	79	-15	-2	+0	+2	+13	-0.2
2027	23	MLB CTX	LAA	35%	181	168	37	7	1	5	8	56	3	2	2	220	268	363	631	143	283	31	4	259	69	-7	-0	+0	+1	+4	-0.3
2028	24	MLB CTX	LAA	46%	259	240	52	10	1	7	13	77	4	3	3	217	268	354	623	138	284	30	5	267	74	-8	-1	+0	+1	+6	-0.2
2029	25	MLB CTX	LAA	52%	301	278	61	11	1	9	16	88	4	3	3	219	272	363	635	144	285	29	5	272	77	-8	-1	+0	+1	+7	-0.1
2030	26	MLB CTX	LAA	54%	322	296	66	12	1	10	18	94	5	3	4	223	279	372	651	149	285	29	6	274	79	-8	-1	+0	+1	+7	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1063	982	216	40	4	31	55	315	16	11	12	220	273	364	636	144	288	30	5	269	68	-31	-3	+0	+4	+23	-0.7
/ 162G	—	A+C		—	650	600	131	24	2	19	34	193	10	7	7	218	272	360	632	142	286	30	5	269	68	-19	-2	+0	+2	+14	-0.4
Career	—	MLE		—	3547	3260	692	119	16	83	173	1067	79	65	40	212	269	335	604	123	285	30	5	268	68	-68	-5	+0	+8	+49	-1.6
/ 162G	—	MLE		—	650	597	127	22	3	15	32	196	14	12	7	213	269	335	604	122	286	30	5	268	68	-20	-1	+0	+2	+14	-0.5

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Michael Saunderslast yr '17 career totals — 8 seasons, 2,711 PA	4.1	2,711	81	55	233	305	399	-12	-13	4.1	4.5
/162	664	20	13	-2.9	-3.2	1.0	pk7: 5
#2Dustin Ackleylast yr '16 career totals — 6 seasons, 2,347 PA	3.5	2,347	46	31	241	304	367	-5	+7	3.8	3.8
/162	664	13	9	-1.3	+1.9	1.1	pk7: 4
#3Jake Cavelast yr '24 career totals — 7 seasons, 1,564 PA	2.4	1,564	45	13	236	292	400	-11	-6	1.3	1.3
/162	664	19	6	-4.5	-2.5	0.6	pk7: 1
#4Nick Senzellast yr '24 career totals — 6 seasons, 1,633 PA	2.5	1,633	40	33	232	299	363	+6	-14	0.9	0.9
/162	664	16	13	+2.4	-5.8	0.4	pk7: 1
#5Chad Pinderlast yr '22 career totals — 7 seasons, 1,740 PA	2.6	1,740	62	5	242	294	417	-17	-20	0.6	0.6
/162	664	24	2	-6.5	-7.6	0.2	pk7: 1
#6Hunter Dozierlast yr '23 career totals — 6 seasons, 2,294 PA	3.5	2,294	73	19	238	305	421	-23	-45	0.0	0.0
/162	664	21	5	-6.5	-13.2	0.0	pk7: 0
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.6	1,065	30	11	219	268	360	-6	+0	-1.0	-0.5
/162	664	19	7	-4.0	+0.0	-0.6	pk7: 0

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
Anthony Scull (OGILVIE)	22	45	40	45	25	205/250/328	123	284	8	3	32%	4%	62	-0.8	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Conner Capel 2019 · A	22	42→45	44→45	47→55	43	209/267/331	122	277	11	11	28%	7%	68	-1.0	212/262/326	114	280	12	10	27%	6%	65	-1.2	213/285/332	119	269	12	19	24%	8%	72	-0.5
✕Ezequiel Pagan 2022 · A	22	44→53	42→45	52→50	39	217/265/326	109	278	9	9	25%	4%	66	-1.1	234/285/342	108	286	11	10	21%	5%	77	-0.3	228/281/329	100	277	11	12	21%	5%	70	-0.6
✕T.J. Schofield-Sam 2023 · A	22	45→47	41→40	45→40	38	218/270/317	99	286	8	6	26%	4%	66	-1.1	213/266/304	91	285	7	5	27%	4%	61	-1.5	207/263/289	83	282	6	3	27%	4%	56	-1.5
✕Alberto Rodriguez 2023 · A	22	44→52	42→45	46→50	40	209/266/317	108	310	9	7	34%	7%	65	-1.2	219/270/331	112	313	9	9	31%	6%	70	-0.9	215/269/320	106	306	9	7	31%	6%	64	-0.8
✕Travis Blankenhorn 2019 · A	22	39→44	44→50	50	37	196/257/321	125	288	11	7	34%	6%	63	-1.4	214/263/348	134	294	15	9	31%	5%	71	-0.8	205/278/354	149	273	18	6	31%	8%	75	-0.3
✕Orlando Martinez 2021 · A	23	43→49	45	44→50	41	217/263/341	124	278	13	7	27%	6%	68	-1.0	216/260/337	121	291	12	8	29%	5%	67	-1.1	231/294/322	92	284	6	11	20%	8%	74	-0.3
✕Kyle Waldrop 2014 · A	22	43→53	46→50	49→50	37	217/251/349	132	280	13	11	28%	4%	66	-1.1	233/266/345	112	306	10	8	26%	4%	70	-0.8	236/268/336	100	306	8	6	25%	4%	67	-0.8
✕Donald Lutz 2011 · A	22	41→49	43→50	50→45	40	203/254/314	111	270	10	8	28%	6%	59	-1.6	224/267/357	133	308	14	6	31%	5%	74	-0.5	224/266/362	139	302	15	6	30%	4%	73	-0.5
✕Telmito Agustin 2019 · A	22	47→42	43→45	48→50	36	228/263/340	112	314	11	11	30%	4%	68	-1.0	204/246/307	103	301	10	10	34%	5%	54	-2.0	178/215/276	98	264	10	8	36%	4%	33	-2.6
✕Ernie De La Trinidad 2018 · A	22	45→53	43→40	49→40	43	218/280/340	122	279	9	6	24%	6%	75	-0.5	226/292/317	91	286	8	4	23%	7%	74	-0.5	224/291/311	88	289	9	4	24%	6%	72	-0.5
✕Ademar Rifaela 2017 · A	22	39→45	46→50	44→45	38	202/247/329	127	279	14	5	33%	5%	60	-1.6	219/264/348	129	314	14	5	33%	5%	71	-0.8	217/264/344	127	311	13	3	33%	5%	68	-0.7
✕Bligh Madris 2019 · A	23	41→47	42→50	44→50	39	202/251/305	103	279	10	5	31%	6%	56	-1.9	215/266/318	103	281	9	4	26%	6%	64	-1.3	195/271/351	156	244	20	13	28%	9%	73	-0.4
✕Keury De La Cruz 2014 · A	22	44→49	45→50	48→50	35	220/249/345	125	297	11	11	30%	3%	64	-1.3	222/251/332	110	297	10	7	28%	4%	61	-1.5	222/249/317	94	289	9	6	26%	3%	54	-0.9
✕Lenyn Sosa 2022 · AA	22	43→51	42→50	39→40	34	213/240/315	102	284	10	4	29%	3%	53	-2.1	235/269/364	129	289	16	4	24%	4%	76	-0.4	243/274/380	137	290	18	3	23%	3%	80	-0.1
✕Eudor Garcia 2016 · A	22	47→50	42→45	48→40	37	231/269/338	107	303	10	4	27%	4%	70	-0.8	231/272/341	110	312	10	5	28%	5%	72	-0.7	229/266/341	112	302	10	2	27%	4%	68	-0.4
✕Luis Liberato 2018 · A	22	42→49	44→50	50	39	206/256/333	126	303	10	7	34%	6%	64	-1.3	217/264/351	134	286	15	7	28%	6%	72	-0.7	213/280/360	147	293	15	9	31%	8%	79	-0.1
✕Rubel Cespedes 2023 · A	22	45→46	40→45	45→40	37	215/263/309	94	312	8	5	32%	5%	61	-1.5	213/265/326	113	290	11	4	29%	6%	66	-1.1	207/260/320	114	271	11	3	27%	6%	60	-1.2
✕Nick Maton 2019 · A	22	43→42	42→50	47→45	40	209/262/319	110	292	9	5	30%	6%	63	-1.3	208/274/307	99	287	8	8	28%	8%	65	-1.2	208/300/350	141	261	16	4	25%	10%	84	+0.1
✕Alexander Ovalles 2023 · AA	22	43→42	46→50	46→50	45	217/283/344	127	282	13	8	27%	8%	78	-0.3	214/280/320	106	310	10	11	32%	8%	71	-0.8	175/252/223	48	291	3	15	38%	9%	35	-0.7
✕Luis Barrera 2018 · A	22	44→54	40→45	52→50	38	214/249/308	94	286	7	12	28%	4%	55	-2.0	240/281/346	106	316	5	16	24%	5%	76	-0.4	247/292/355	108	317	4	17	23%	5%	79	-0.1

Career Stats + Projections

Career Comps

Career Path Comps