Easton Shelton — OGILVIE

Easton Shelton1B Ontario Tower Buzzers

Age 20 R/R 6'4" / 225 lbs A HR +8%BB -8% Svc 0.0 · Ctrl thru 2036

2026 ROS PROJECTION486 act + 10 ros · stats below = ROS only

showingROS

wRC+†97

AVG/OBP/SLG.222 / .300 / .556

PA10

HR0

K%40

BB%10

BABIP301

ISO333

MLB%0%

Value2026 · WAR

━ projected WAR━ paid WAR ($/8M) surplus deficit+$18M ctrl surplus

Tools · ContractCON 25 / POW 64

Toolsscout grade

CONTACT25

scouting grade only

POWER64

scouting grade only

EYE57

scouting grade only

SPEED49

scouting grade only

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

Status MiLB

MLB Debut 2031

Service 0 yrs (est)

Team Control Through 2036

First FA Year 2037

Year	Status	Salary	Proj WAR	Value	Surplus
2026	MiLB	still in minors · estimated debut 2031
2027	MiLB	still in minors · estimated debut 2031
2028	MiLB	still in minors · estimated debut 2031
2029	MiLB	still in minors · estimated debut 2031
2030	MiLB	still in minors · estimated debut 2031
2031	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2032	Pre-Arb	$0.9M	+0.5	$1M	+$0.8M
2033	Pre-Arb	$1.0M	+0.5	$1M	+$0.7M
2034	Arb-1	$2M	+0.4	$0.9M	+$0.0M (cut)
2035	Arb-2	$3M	+0.3	$0.6M	+$0.0M (cut)
2036	Arb-3	$3M	+0.2	$0.4M	+$0.0M (cut)
Totals		$3M		$6M	+$2M

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)
2024	18	ROK	ACL Dodgers	—	84	73	19	1	3	1	10	30	1	0	0	260	357	397	754	137	429	36	12	340	116	+2	+0	—	—	+2	0.4
2025	19	A+	Great Lakes Loons	—	15	14	3	1	0	1	1	4	0	0	0	214	267	500	767	286	222	27	7	331	110	+0	+0	—	—	+0	0.1
2025	19	ROK	ACL Dodgers	—	137	124	29	8	0	6	8	56	3	0	1	234	296	444	740	210	359	41	6	322	104	+1	-0	—	—	+3	0.3
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2024	18	ROK MLE	ACL Dodgers	—	84	77	13	1	2	1	6	44	1	0	0	169	238	273	511	104	339	52	7	203	24	-8	+0	—	—	+2	-0.6
2025	19	A+ MLE	Great Lakes Loons	—	15	14	3	1	0	1	1	6	0	0	0	214	267	500	767	286	197	40	7	243	51	-1	+0	—	—	+0	-0.1
2025	19	ROK MLE	ACL Dodgers	—	137	127	15	4	0	3	5	81	3	0	1	118	170	220	391	102	251	59	4	167	-1	-16	-0	—	—	+3	-1.4
2024	18	ROK MLE	ACL Dodgers	—	84	77	13	1	2	1	6	44	1	0	0	169	238	273	511	104	375	52	7	203	24	—	—	—	—	—	—
2024	18	ROK RAW	ACL Dodgers	—	84	73	19	1	3	1	10	30	1	0	0	260	357	397	754	137	429	36	12	340	24	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	152	141	17	4	0	4	6	87	3	0	1	121	173	234	407	113	250	57	4	175	4	—	—	—	—	—	—
2025	19	ROK RAW	2 teams	—	152	138	32	9	0	7	9	60	3	0	1	232	293	449	743	217	342	39	6	323	4	—	—	—	—	—	—
2024	18	ROK MLE	ACL Dodgers	—	84	77	13	1	2	1	6	44	1	0	0	169	238	273	511	104	339	52	7	203	24	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	152	142	17	4	0	4	6	87	3	0	1	120	173	232	406	113	246	57	4	175	4	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2024	18	ROK MLE	ACL Dodgers	—	84	77	13	1	2	1	6	44	1	0	0	169	238	273	511	104	339	52	7	203	24	—	—	—	—	—	—
2025	19	ROK MLE	2 teams	—	152	142	17	4	0	4	6	87	3	0	1	120	173	232	406	113	246	57	4	175	4	—	—	—	—	—	—
YTD	20	A MLE	LAD	—	486	427	92	18	1	30	51	218	4	4	2	215	305	473	778	258	339	45	10	330	109	+5	+0	+0	-9	+11	0.7
▸ 2026 season
YTD	20	A RAW	LAD	—	486	407	121	26	2	37	71	163	4	4	2	297	407	644	1.050	346	398	34	15	446	109	—	—	—	—	—	—
ROS	20	A MLE	LAD	0%	10	9	2	0	0	1	1	4	0	0	0	222	300	556	856	333	305	40	10	312	97	-0	+0	+0	-0	+0	0.0
TOT	20	A MLE	LAD	—	496	436	94	18	1	31	52	222	4	4	2	216	305	475	780	259	337	45	10	330	109	+5	+0	+0	-9	+11	0.7
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	21	MLB MLE	LAD	34%	525	465	97	18	2	28	50	220	5	6	3	209	292	437	729	228	309	42	10	318	101	+1	+0	+0	-9	+11	0.3
2028	22	MLB MLE	LAD	48%	567	503	107	20	2	30	54	227	5	7	3	213	295	439	735	227	308	40	10	323	105	+3	+0	+0	-10	+12	0.6
2029	23	MLB MLE	LAD	54%	605	536	116	22	2	32	58	235	6	9	4	216	300	444	744	228	308	39	10	326	107	+5	+0	+0	-11	+13	0.8
2030	24	MLB MLE	LAD	55%	604	535	117	22	2	32	58	231	6	10	4	219	302	447	749	228	308	38	10	329	109	+6	+0	+0	-11	+13	0.9
2031	25	MLB MLE	LAD	56%	599	530	117	22	2	32	58	229	6	10	5	221	305	451	756	230	308	38	10	330	110	+7	+0	+0	-11	+13	0.9
2032	26	MLB MLE	LAD	56%	591	522	115	21	2	32	58	226	6	10	5	220	305	452	758	232	307	38	10	331	110	+7	+0	+0	-11	+13	1.0
2033	27	MLB MLE	LAD	55%	582	513	112	21	2	31	58	222	6	10	5	218	305	448	753	230	307	38	10	331	110	+7	+0	+0	-10	+13	0.9
2034	28	MLB MLE	LAD	55%	573	505	110	20	2	31	57	220	6	10	5	218	305	450	754	232	306	38	10	330	109	+6	+0	-1	-10	+12	0.8
2035	29	MLB MLE	LAD	53%	562	496	108	20	2	30	56	217	5	9	4	218	303	448	751	230	304	39	10	327	108	+5	+0	-1	-10	+12	0.6
2036	30	MLB MLE	LAD	53%	552	487	103	19	1	29	55	214	5	9	4	211	298	433	731	222	302	39	10	324	106	+4	+0	-2	-10	+12	0.4
2037	31	MLB MLE	LAD	52%	541	477	100	18	1	28	54	212	5	8	4	210	297	428	724	218	298	39	10	320	103	+2	+0	-3	-10	+12	0.1
2038	32	MLB MLE	LAD	52%	531	468	96	17	1	27	53	210	5	8	4	205	293	419	712	214	293	40	10	314	99	-1	+0	-4	-9	+12	-0.2
2027	21	MLB CTX	LAD	34%	180	159	34	6	1	10	17	75	2	2	1	214	298	453	751	239	306	42	9	313	101	+0	+0	+0	-3	+4	0.1
2028	22	MLB CTX	LAD	48%	275	244	52	10	1	15	26	110	3	4	2	213	297	447	743	234	304	40	9	318	105	+2	+0	+0	-5	+6	0.3
2029	23	MLB CTX	LAD	54%	328	290	63	12	1	18	32	128	3	5	2	217	302	452	753	234	304	39	10	321	107	+3	+0	+0	-6	+7	0.4
2030	24	MLB CTX	LAD	55%	335	297	66	12	1	19	32	128	3	5	2	222	304	461	765	239	304	38	10	324	109	+3	+0	+0	-6	+7	0.5
2031	25	MLB CTX	LAD	56%	335	296	66	12	1	19	33	128	3	6	3	223	307	463	770	240	304	38	10	325	110	+4	+0	+0	-6	+7	0.5
2032	26	MLB CTX	LAD	56%	332	294	65	12	1	19	32	127	3	6	3	221	304	463	767	241	304	38	10	326	110	+4	+0	+0	-6	+7	0.5
2033	27	MLB CTX	LAD	55%	322	284	62	11	1	18	32	123	3	6	3	218	304	454	758	236	303	38	10	326	110	+4	+0	+0	-6	+7	0.5
2034	28	MLB CTX	LAD	55%	314	277	61	11	1	18	31	120	3	5	3	220	305	462	768	242	302	38	10	325	109	+3	-0	-0	-6	+7	0.4
2035	29	MLB CTX	LAD	53%	300	264	57	10	1	17	30	116	3	5	2	216	303	455	758	239	301	39	10	322	108	+3	+0	-1	-5	+6	0.3
2036	30	MLB CTX	LAD	53%	290	256	55	10	1	16	29	113	3	5	2	215	302	449	751	234	298	39	10	319	106	+2	+0	-1	-5	+6	0.2
2037	31	MLB CTX	LAD	52%	282	249	52	9	1	15	28	110	3	4	2	209	296	434	730	225	295	39	10	315	103	+1	+0	-1	-5	+6	0.0
2038	32	MLB CTX	LAD	52%	275	244	51	9	1	15	27	109	2	4	2	209	293	439	732	230	290	40	10	309	99	-0	+0	-2	-5	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	3568	3154	684	124	12	199	349	1387	34	57	27	217	302	453	755	236	306	39	10	321	103	+28	+1	-6	-64	+77	3.8
/ 162G	—	A+C		—	650	575	125	23	2	36	64	253	6	10	5	217	302	452	754	235	308	39	10	321	103	+5	+0	-1	-12	+14	0.7
Career	—	MLE		—	7078	6264	1330	245	23	368	682	2798	70	106	51	212	297	435	732	223	307	40	10	321	103	+52	+1	-10	-122	+148	7.0
/ 162G	—	MLE		—	650	575	122	22	2	34	63	257	6	10	5	212	296	435	731	223	307	40	10	321	103	+5	+0	-1	-12	+14	0.7

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Jay Brucelast yr '20 career totals — 13 seasons, 6,603 PA	9.9	6,603	318	65	245	314	469	-71	-54	19.6	19.5
/162	664	32	7	-7.1	-5.4	2.0	pk7: 19
#2Chris Davislast yr '20 career totals — 13 seasons, 5,630 PA	8.5	5,630	295	19	233	315	459	-96	-102	6.3	9.8
/162	664	35	2	-11.3	-12.0	0.7	pk7: 13
#3Mark Trumbolast yr '18 career totals — 8 seasons, 4,372 PA	6.6	4,372	218	23	250	303	462	-58	-63	6.2	6.6
/162	664	33	3	-8.9	-9.6	0.9	pk7: 7
#4Brandon Mosslast yr '17 career totals — 8 seasons, 3,459 PA	5.2	3,459	160	11	238	315	455	-53	-41	5.9	5.9
/162	664	31	2	-10.2	-7.9	1.1	pk7: 6
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 7 projected seasons	5.7	3,801	200	59	214	296	441	-68	-10	5.9	5.4
/162	664	35	10	-11.9	-1.8	1.0	pk7: 5
#5Justin Smoaklast yr '20 career totals — 11 seasons, 4,750 PA	7.2	4,750	196	3	229	322	419	-85	-77	1.9	3.9
/162	664	27	0	-11.9	-10.7	0.3	pk7: 6
#6Chris Carterlast yr '17 career totals — 7 seasons, 2,807 PA	4.2	2,807	158	12	219	314	462	-50	-50	3.3	3.3
/162	664	37	3	-11.7	-11.9	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
Easton Shelton (OGILVIE)	20	20→25	59→64	44→49	57	199/282/423	224	305	12	2	43%	10%	97	+0.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
●Joey Gallo 2014 · A	20	32→35	62→70	55→45	35	186/253/412	226	293	31	10	47%	8%	83	+0.1	193/271/403	210	317	29	7	45%	9%	88	+0.4	210/330/515	305	261	43	6	37%	14%	125	+2.5
●Tyler O'Neill 2016 · A	21	37→47	56→70	49→50	32	203/250/386	183	300	25	11	41%	5%	76	-0.4	222/278/410	188	306	25	11	35%	6%	91	+0.7	256/332/476	220	320	30	16	29%	9%	126	+2.2
●Miguel Sanó 2013 · A	20	38→48	54→70	46→45	42	204/276/383	178	286	22	5	35%	8%	84	+0.2	224/304/440	216	310	27	7	35%	9%	108	+1.9	243/334/470	227	339	30	2	35%	11%	122	+2.7
✕Orelvis Martinez 2023 · AA	21	32→34	56→60	44→40	40	189/256/374	185	239	26	6	34%	6%	76	-0.4	194/262/367	173	247	22	4	31%	7%	76	-0.4	180/252/347	167	225	22	2	31%	7%	66	-0.8
●Chris Carter 2009 · A	22	38→48	58→65	47→45	44	214/284/418	204	274	27	3	32%	8%	96	+1.0	231/304/423	192	297	24	6	30%	9%	104	+1.6	226/317/463	237	289	33	4	33%	11%	114	+2.3
✕Dérmis Garcia 2018 · A	20	32→38	53→55	48→45	38	177/250/341	164	287	22	5	44%	8%	65	-1.2	190/242/353	163	315	22	5	44%	6%	65	-1.2	183/253/363	180	277	26	8	42%	8%	69	-0.5
✕Bobby Bradley 2017 · A	21	38→40	53→60	50→40	37	197/261/364	167	309	23	3	42%	7%	75	-0.5	205/263/382	177	283	23	3	35%	7%	79	-0.2	193/258/399	206	256	29	0	36%	7%	80	-0.1
●Jerry Sands 2009 · A	21	35→45	50→60	51→45	45	191/275/338	147	260	19	8	33%	9%	74	-0.5	230/295/419	189	285	24	6	28%	8%	100	+1.3	230/295/426	197	277	25	7	26%	8%	100	+1.2
●Mike Carp 2006 · A	20	39→49	52→55	44→40	38	209/283/371	162	286	22	4	34%	6%	85	+0.2	233/304/366	133	295	15	3	25%	7%	91	+0.7	260/323/444	184	320	22	4	25%	8%	113	+1.5
✕Seuly Matias 2019 · A	20	30→35	53→55	49→45	29	175/226/340	165	280	23	5	46%	5%	56	-1.9	166/229/318	152	312	19	6	50%	6%	53	-2.1	149/228/305	156	261	19	6	48%	7%	47	-1.3
★Matt Olson 2015 · A	21	35→45	54→70	45→40	49	195/282/372	177	253	23	3	32%	10%	84	+0.2	205/290/383	178	268	22	3	31%	10%	90	+0.6	264/364/544	279	283	38	1	22%	13%	145	+5.4
✕Carlos Rincon 2019 · A	21	35→39	51→55	47→45	37	188/252/345	157	288	20	5	41%	7%	67	-1.1	197/258/347	150	288	19	5	37%	7%	70	-0.9	186/240/333	147	263	19	3	36%	6%	57	-1.0
✕Drew Lugbauer 2018 · A	21	40→34	52→60	48→30	37	210/268/375	166	306	21	4	38%	6%	80	-0.2	174/228/294	120	305	14	3	45%	6%	45	-2.7	182/258/377	195	292	28	1	46%	8%	74	-0.4
✕Chris Iriart 2017 · A	22	37	54→55	46→30	37	202/264/373	171	280	23	3	36%	6%	78	-0.3	187/246/311	124	326	15	4	45%	6%	57	-1.8	130/191/219	88	259	12	0	52%	5%	13	-2.2
✕Jhonkensy Noel 2023 · AAA	22	37→40	55	47→45	37	207/259/388	181	272	24	5	33%	5%	80	-0.2	203/260/368	165	260	22	3	31%	6%	75	-0.5	195/249/365	169	248	24	1	32%	5%	68	-0.6
✕Abimelec Ortiz 2022 · A	20	38→40	54→55	50→40	51	205/308/389	184	250	22	8	27%	10%	98	+1.2	204/267/371	167	284	22	5	35%	7%	78	-0.3	209/275/391	181	265	24	2	30%	7%	83	+0.1
✕Rece Hinds 2022 · A	21	41→42	52→55	50→55	35	210/264/382	173	307	20	10	38%	5%	80	-0.2	193/245/345	152	326	17	17	44%	5%	63	-1.3	201/250/372	172	302	21	22	40%	5%	70	-0.7
●Andy Pages 2023 · AA	22	38→48	55	45→50	44	207/289/391	184	267	23	6	31%	8%	92	+0.7	240/307/413	173	302	20	9	27%	7%	103	+1.5	266/322/445	180	311	23	10	22%	6%	115	+2.3
✕Oliver Carrillo 2023 · A	21	46→28	52→55	53→45	45	230/307/398	167	321	19	7	33%	9%	99	+1.3	200/303/344	144	307	17	4	37%	11%	86	+0.3	168/276/295	127	266	16	3	40%	11%	65	-0.6
✕Alexander Canario 2021 · A	21	44→34	50→60	48→50	40	223/281/376	154	307	18	8	33%	7%	84	+0.2	200/256/369	169	285	21	14	36%	7%	74	-0.6	201/270/393	193	274	26	13	36%	8%	82	-0.0

Career Stats + Projections

Career Comps

Career Path Comps