Anthony Scull — OGILVIE

Anthony ScullOF Tri-City Dust Devils

Age 22 L/L 6'0" / 202 lbs A+ HR -5% Svc 0.0 · Ctrl thru 2035 peak 0.3 · 2030

wRC+†48

AVG/OBP/SLG.207 / .265 / .312

PA320

HR6

K%30

BB%5

MLB%0%

Scouting · now → future

HIT

45→45

PWR

40→40

SPD

45→45

EYE

38↘25

trajectory · 10 yrs

0.3peak

2030

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	Arb-2	$0.9M	+0.3	$1M	+$0.5M
2031	Arb-3	$0.9M	+0.3	$1M	+$0.5M
2032	Ext / FA-deal	$0.9M	+0.2	$1.0M	+$0.0M
2033	Ext / FA-deal	$3M	—	—	—
2034	Ext / FA-deal	$0.4M	—	—	—
2035	Ext / FA-deal	$0.6M	—	—	—
Totals		$7M		$-0.4M	-$7M

Why some years run red
On long-term deals the salary is locked in regardless of how the player ages. Late years are red whenever projected production drops below the AAV — that's expected, not a sign the deal is bad. The honest scorecard is the Net Surplus over the whole contract, not any single year.

Career Projections (MLE)

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	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
2021	17	ROK	DSL Angels	35	29	3	0	1	0	2	16	2	3	0	.103	.212	.172	.385	.069	.200	46	6	.155	-23	-5	+1	+0	-0	+1	-0.4
2022	18	ROK	ACL Angels	42	39	7	0	1	0	3	17	0	1	1	.179	.238	.231	.469	.051	.318	40	7	.230	34	-3	-0	+0	-0	+1	-0.2
2023	19	ROK	ACL Angels	192	175	39	5	4	2	8	64	9	10	1	.223	.292	.331	.623	.109	.339	33	4	.267	63	-8	+2	+0	-1	+5	-0.2
2024	20	A	Inland Empire 66ers	543	486	106	18	3	7	27	149	23	24	7	.218	.291	.311	.602	.093	.295	27	5	.261	58	-26	+2	+0	-3	+15	-1.2
2025	21	A+	Tri-City Dust Devils	465	429	85	13	0	10	19	147	11	5	7	.198	.251	.298	.549	.100	.271	32	4	.238	40	-31	-2	+0	-3	+13	-2.3
▸ 2026 Season (actual · ROS · total)
2026	22	A+	Tri-City Dust Devils	72	66	10	1	0	2	5	28	1	0	0	.152	.222	.258	.480	.106	.222	39	7	.217	24	-6	+0	+0	-0	+2	-0.5
ROS	22	MLB	LAA	248	227	45	7	1	5	13	77	6	3	2	.198	.260	.304	.564	.106	.275	31	5	.257	55	-13	-0	+0	-1	+7	-0.7
TOT	22	MLB	LAA	320	293	55	8	1	7	18	105	7	3	2	.188	.252	.294	.545	.106	.264	33	6	.248	48	-19	-0	+0	-2	+9	-1.2
▸ 2027+ Projections — Projections at projected PA · Park-neutral MLB equivalent · Marcel + aging curve
2027	23	MLB 11%	LAA	524	474	102	16	2	13	34	128	11	8	3	.215	.283	.340	.623	.124	.264	24	6	.280	73	-16	+0	+0	-3	+15	-0.4
2028	24	MLB 26%	LAA	561	506	111	18	2	15	38	134	12	8	4	.219	.290	.352	.641	.132	.266	24	7	.288	78	-14	+0	+0	-3	+16	-0.1
2029	25	MLB 44%	LAA	582	523	116	19	2	16	42	138	12	9	4	.222	.295	.358	.652	.136	.268	24	7	.293	82	-12	+0	+0	-3	+16	0.1
2030	26	MLB 59%	LAA	593	532	118	19	2	16	44	140	12	9	4	.222	.296	.355	.651	.133	.269	24	7	.295	84	-11	+0	+0	-4	+17	0.3
2031	27	MLB 76%	LAA	595	534	118	19	2	16	44	141	12	9	4	.221	.295	.354	.649	.133	.269	24	7	.295	84	-11	+0	+0	-4	+17	0.3
2032	28	MLB 84%	LAA	592	530	117	19	2	16	45	142	12	8	3	.221	.296	.355	.651	.134	.269	24	8	.294	83	-11	+0	-1	-4	+17	0.2
2033	29	MLB 90%	LAA	583	522	115	19	2	16	44	141	12	7	3	.220	.296	.356	.652	.136	.268	24	8	.292	82	-12	+0	-1	-3	+17	-0.0
2034	30	MLB	LAA	573	513	112	18	2	15	44	141	11	7	3	.218	.294	.349	.643	.131	.266	25	8	.289	79	-13	+0	-2	-3	+16	-0.3
2035	31	MLB	LAA	559	501	107	17	2	14	42	140	11	5	2	.214	.289	.339	.628	.126	.265	25	8	.285	76	-15	+0	-3	-3	+16	-0.5
2036	32	MLB	LAA	541	484	102	16	2	13	41	138	11	3	2	.211	.287	.333	.620	.122	.263	26	8	.280	73	-17	-0	-4	-3	+15	-0.8
2037	33	MLB	LAA	511	458	95	15	1	12	38	134	10	2	2	.207	.283	.323	.606	.116	.262	26	7	.275	69	-18	-0	-4	-3	+14	-1.2
2038	34	MLB	LAA	465	418	84	13	1	10	35	126	9	2	2	.201	.277	.309	.586	.108	.260	27	8	.269	64	-19	-0	-5	-3	+13	-1.4
▸ Career Totals (MLE all levels + projections)
Career	—			8204	7380	1582	251	32	196	563	2113	186	123	54	.214	.287	.337	.623	.122	.271	26	7	.280	73	-255	+3	-20	-49	+232	-9.0
/ 162G	—			650	585	126	20	3	16	45	167	15	10	4	.215	.289	.342	.631	.126	.271	26	7	.280	73	-20	+0	-2	-4	+18	-0.7

Historical Stats — Raw (Per Stint)

Actual MLB + MiLB stats as they happened, one row per stint at each level. Use this to see what really got recorded; the table above shows MLB-equivalent translations + projections.

Year	Age	Lvl	Team	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
2021	17	ROK	DSL Angels	35	26	3	0	1	0	3	11	2	3	0	.115	.242	.192	.435	.077	.176	31	9	.200	11	-4	+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	129	+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	141	+9	+2	—	—	+5	1.6
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	+5	+2	—	—	+15	2.2
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	104	+2	-2	—	—	+13	1.3

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
Anthony Scull (OGILVIE)	22	45	40	45	25	.207/.265/.312	.105	.282	6	5	30%	5%	59	-0.6	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Nick Maton 2019 · A	22	41	43→50	47→45	40	.205/.254/.316	.111	.280	10	6	30%	6%	54	-1.4	.206/.270/.307	.101	.282	9	8	28%	7%	59	-1.1	.214/.305/.368	.154	.264	18	4	25%	10%	88	+0.6
✕Conner Capel 2019 · A	22	41→45	44→45	47→55	44	.208/.266/.330	.122	.270	11	11	27%	7%	63	-0.8	.210/.262/.328	.118	.279	12	11	28%	6%	61	-1.0	.216/.288/.339	.123	.271	13	19	24%	8%	71	-0.2
✕Adam Haseley 2018 · A	22	45→55	43→45	47→50	42	.223/.271/.333	.110	.288	10	7	26%	6%	66	-0.6	.253/.304/.366	.113	.313	11	7	22%	6%	89	+0.9	.247/.299/.355	.109	.304	12	9	22%	6%	80	+0.3
✕José Tena 2022 · A	21	45→54	44→45	48→55	34	.219/.256/.336	.117	.316	11	9	34%	4%	60	-1.0	.231/.273/.356	.125	.338	12	11	33%	5%	73	-0.1	.244/.300/.367	.123	.348	11	21	31%	7%	84	+0.5
✕Kyle Waldrop 2014 · A	22	43→53	46→50	49→50	38	.217/.252/.348	.130	.280	13	10	27%	4%	62	-0.9	.233/.267/.352	.119	.305	11	9	27%	4%	69	-0.4	.236/.268/.343	.107	.306	10	6	26%	4%	65	-0.5
✕Ezequiel Pagan 2022 · A	22	45→54	41→45	52→50	39	.217/.265/.319	.102	.282	8	10	25%	4%	59	-1.1	.236/.287/.347	.111	.288	11	10	21%	5%	76	+0.1	.230/.283/.333	.103	.277	11	12	21%	5%	68	-0.3
✕Cal Mitchell 2021 · A	22	42→52	43→50	42→50	35	.205/.249/.315	.110	.304	11	4	35%	5%	52	-1.6	.236/.281/.367	.131	.301	14	8	26%	5%	79	+0.3	.240/.288/.371	.132	.301	15	9	25%	5%	81	+0.3
✕Andrew Aplin 2013 · A	22	43→53	44→40	48→55	41	.217/.255/.331	.114	.263	11	12	23%	5%	59	-1.1	.226/.297/.320	.094	.266	7	18	17%	9%	73	-0.1	.235/.313/.320	.085	.277	6	23	16%	10%	79	+0.3
✕Roman Pena 2009 · A	22	42→52	43→50	45	38	.208/.259/.316	.108	.298	10	6	33%	6%	57	-1.2	.196/.258/.303	.107	.276	10	8	31%	7%	53	-1.5	.233/.303/.392	.159	.312	16	7	29%	9%	92	+0.8
✕Carlos Luis 2022 · A	22	44→53	40→45	46→40	40	.212/.259/.304	.091	.298	7	6	30%	6%	53	-1.5	.232/.281/.330	.098	.311	8	3	26%	6%	69	-0.4	.234/.283/.329	.095	.308	9	1	26%	6%	67	-0.4
✕David Olmedo-Barrera 2016 · A	22	45→42	41→50	44→50	38	.218/.266/.316	.099	.288	8	7	27%	4%	59	-1.1	.226/.268/.329	.103	.289	8	12	24%	4%	63	-0.8	.219/.259/.319	.100	.283	7	14	25%	4%	55	-0.7
✕Mike Daniel 2007 · A	22	39→49	42→45	48→50	42	.193/.256/.293	.100	.274	10	11	32%	7%	50	-1.8	.232/.283/.346	.114	.314	11	14	28%	6%	74	-0.1	.239/.288/.351	.112	.317	11	15	27%	6%	75	+0.0
✕Carlos Vidal 2018 · A	22	49	40→45	46→50	42	.236/.282/.330	.093	.295	7	9	22%	5%	69	-0.4	.218/.266/.313	.095	.283	6	7	24%	6%	58	-1.2	.196/.251/.305	.109	.252	6	5	24%	6%	48	-1.0
✕Anthony Hatch 2006 · A	22	43→51	45→50	46→40	38	.213/.261/.341	.128	.293	12	5	31%	5%	64	-0.8	.230/.286/.375	.145	.280	14	5	22%	6%	84	+0.6	.230/.287/.373	.143	.275	14	3	22%	6%	80	+0.3
✕Jordan Patterson 2015 · A	23	42→49	43→50	47→50	40	.210/.271/.317	.108	.275	12	13	28%	5%	63	-0.8	.224/.282/.365	.141	.307	14	11	30%	5%	80	+0.4	.221/.281/.375	.154	.306	15	9	31%	5%	79	+0.2
✕Luis Liberato 2018 · A	22	43→51	44→50	50	40	.209/.260/.333	.124	.300	10	7	33%	6%	61	-1.0	.216/.262/.350	.134	.285	15	7	29%	6%	67	-0.5	.210/.278/.360	.150	.290	16	9	32%	8%	75	+0.0
●Stephen Parker 2010 · A	22	44→53	41→45	41→40	42	.216/.267/.316	.099	.285	9	5	27%	6%	59	-1.1	.239/.300/.366	.127	.307	12	3	25%	8%	87	+0.8	.238/.300/.361	.123	.308	12	3	25%	7%	84	+0.6
✕Telmito Agustin 2019 · A	22	45→40	43→45	48→50	35	.224/.257/.337	.113	.308	11	12	31%	4%	60	-1.0	.205/.245/.310	.105	.300	10	10	33%	5%	49	-1.8	.178/.215/.277	.098	.264	10	8	36%	4%	24	-2.5
✕Alberto Rodriguez 2023 · A	22	44→52	43→50	47→50	40	.213/.269/.326	.114	.311	9	8	33%	6%	63	-0.8	.216/.268/.331	.115	.312	10	8	32%	6%	64	-0.8	.217/.268/.335	.119	.307	10	9	31%	5%	62	-0.7
✕Travis Blankenhorn 2019 · A	22	40→43	45→55	51→50	38	.201/.261/.328	.127	.288	11	7	33%	6%	61	-1.0	.215/.262/.357	.142	.295	16	9	32%	5%	69	-0.4	.211/.283/.380	.168	.276	21	6	31%	8%	81	+0.3

Contract

Career Projections (MLE) Show advanced cols

Historical Stats — Raw (Per Stint)

Career Path Comps

Career Projections (MLE)