Colton Coates — OGILVIE

Colton CoatesSS Salem RidgeYaks

Age 22 S/R A HR -5%K -4% Svc 0.0 · Ctrl thru 2037

2027 FULL-SEASON PROJECTIONpark-neutral Marcel · 85 proj PA

wRC+†73

AVG/OBP/SLG.220 / .286 / .317

PA85

HR1

K%25

BB%8

ISO98

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
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	$0.9M	+0.2	$0.5M	+$0.0M
2034	Pre-Arb	$1.0M	+0.1	$0.2M	+$0.0M (cut)
2035	Arb-1	$0.4M	—	—	—
2036	Ext	beyond projection horizon · no WAR estimate
2037	Ext	beyond projection horizon · no WAR estimate
Totals		$2M		$1M	+$0.3M

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. 2027 = actual YTD + projected ROS + total. 2028+ 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)
2026	21	A	Salem RidgeYaks	—	74	62	16	3	1	0	11	10	0	1	2	258	370	339	709	81	302	14	15	324	62	—	—	—	—	—	—
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2026	21	A MLE	Salem RidgeYaks	—	74	65	14	2	1	0	8	14	0	1	2	215	301	277	578	62	259	19	11	260	62	—	—	—	—	—	—
2026	21	A MLE	Salem RidgeYaks	—	74	65	14	2	1	0	8	14	0	1	2	215	301	277	578	62	269	19	11	260	62	—	—	—	—	—	—
2026	21	A RAW	Salem RidgeYaks	—	74	62	16	3	1	0	11	10	0	1	2	258	370	339	709	81	302	14	15	324	62	—	—	—	—	—	—
2026	21	A MLE	Salem RidgeYaks	—	74	66	14	2	1	0	8	14	0	1	2	212	301	273	574	61	259	19	11	260	62	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons)
2026	21	A MLE	Salem RidgeYaks	—	74	66	14	2	1	0	8	14	0	1	2	212	301	273	574	61	259	19	11	260	62	—	—	—	—	—	—
▸ 2027 season
▸ 2027 — full MLE projection (neutral park, full availability)
2027	22	MLB MLE	BOS	0%	184	166	37	6	2	2	15	46	1	3	1	222	289	320	609	98	290	25	8	275	73	-6	+0	+0	+2	+4	0.1
▸ Career projection (2028+) — MLB context, MLB playing time (PA × MLB%)
2028	23	MLB MLE	BOS	34%	177	160	36	6	2	2	14	44	1	2	1	224	292	328	620	104	291	25	8	280	76	-5	+0	+0	+2	+4	0.1
2029	24	MLB MLE	BOS	46%	290	263	59	10	3	4	23	72	2	4	1	227	294	335	630	109	292	25	8	284	78	-8	+0	+0	+3	+6	0.2
2030	25	MLB MLE	BOS	52%	359	325	74	13	3	6	29	88	2	5	2	228	296	341	637	113	292	25	8	287	80	-8	+0	+0	+4	+8	0.3
2031	26	MLB MLE	BOS	54%	405	366	85	15	4	7	33	99	3	5	2	229	297	345	642	116	292	24	8	289	82	-9	+0	+0	+4	+9	0.5
2032	27	MLB MLE	BOS	54%	426	385	88	15	4	7	35	104	3	5	2	229	297	346	643	117	291	24	8	289	82	-9	+0	+0	+5	+9	0.5
2033	28	MLB MLE	BOS	54%	436	394	90	16	4	7	36	108	3	4	2	227	296	341	637	114	291	25	8	287	80	-10	+0	-1	+5	+9	0.3
2034	29	MLB MLE	BOS	58%	435	394	89	15	4	7	35	109	3	3	1	225	293	335	628	111	289	25	8	283	78	-11	+0	-1	+5	+9	0.1
2035	30	MLB MLE	BOS	60%	430	390	87	15	3	7	35	109	2	1	1	222	289	328	618	106	288	25	8	279	75	-13	-0	-2	+5	+9	-0.1
2028	23	MLB CTX	BOS	34%	61	56	13	2	1	1	5	15	0	1	0	230	297	336	633	106	299	25	8	285	76	-2	+0	+0	+1	+1	0.0
2029	24	MLB CTX	BOS	46%	134	121	28	5	1	2	11	33	1	2	1	233	300	343	643	111	300	25	8	289	78	-3	+0	+0	+1	+3	0.1
2030	25	MLB CTX	BOS	52%	185	167	38	7	1	3	15	45	1	2	1	234	301	348	650	115	301	24	8	292	80	-4	+0	+0	+2	+4	0.2
2031	26	MLB CTX	BOS	54%	220	199	47	9	2	4	18	54	1	3	1	235	303	353	655	118	301	25	8	294	82	-5	+0	+0	+2	+5	0.3
2032	27	MLB CTX	BOS	54%	231	208	49	9	2	4	19	56	2	3	1	235	303	354	657	119	300	24	8	295	82	-5	+0	+0	+2	+5	0.3
2033	28	MLB CTX	BOS	54%	237	214	51	10	2	4	19	58	2	2	1	233	301	349	650	116	299	24	8	292	80	-6	+0	-0	+3	+5	0.2
2034	29	MLB CTX	BOS	58%	251	227	53	10	2	4	20	63	2	1	1	231	298	343	642	112	298	25	8	289	78	-7	-0	-1	+3	+5	0.1
2035	30	MLB CTX	BOS	60%	258	234	53	10	2	4	21	65	1	1	1	228	295	336	631	108	297	25	8	285	75	-8	-0	-1	+3	+6	-0.1
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1577	1426	332	62	13	26	128	389	10	15	7	233	301	349	650	116	301	25	8	291	78	-39	+0	-2	+17	+34	1.0
/ 162G	—	A+C		—	650	588	137	26	5	11	53	160	4	6	3	233	301	350	651	117	300	25	8	291	78	-16	+0	-1	+7	+14	0.4
Career	—	MLE		—	3117	2819	639	110	29	48	255	768	20	31	14	227	295	337	633	111	293	25	8	284	78	-76	+1	-4	+33	+66	1.9
/ 162G	—	MLE		—	650	588	133	23	6	10	53	160	4	6	3	226	295	337	631	111	292	25	8	284	78	-16	+0	-1	+7	+14	0.4

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Ronny 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
#2Yolmer 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
#3Adam 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
#4Garrett Hampsonlast yr '25 career totals — 7 seasons, 1,805 PA	2.7	1,805	29	65	234	296	352	+10	+10	3.9	3.9
/162	664	11	24	+3.6	+3.7	1.4	pk7: 4
#5Guillermo Heredialast yr '22 career totals — 6 seasons, 1,530 PA	2.3	1,530	25	6	231	311	345	+3	+17	3.5	3.5
/162	664	11	3	+1.2	+7.6	1.5	pk7: 3
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 5 projected seasons	2.5	1,661	27	16	227	292	339	+18	+15	2.3	2.2
/162	664	11	6	+7.1	+6.0	0.9	pk7: 2
#6Ryan Goinslast yr '19 career totals — 7 seasons, 1,680 PA	2.5	1,680	22	6	230	279	335	+9	+21	2.0	2.0
/162	664	9	2	+3.7	+8.5	0.8	pk7: 2

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
Colton Coates (OGILVIE)	22	—	—	—	—	220/286/317	98	290	1	1	25%	8%	73	-0.1	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Trent Woodward 2015 · A	23	43	41→45	47→30	47	205/283/307	102	276	7	6	27%	8%	70	-0.9	218/285/307	89	309	7	4	29%	8%	70	-0.9	217/287/303	86	307	8	1	30%	8%	66	-0.4
✕Jacob Berry 2023 · A	22	43→44	42→45	46→55	43	212/283/312	100	277	9	6	26%	6%	71	-0.8	206/257/315	109	263	9	12	25%	5%	61	-1.5	213/278/320	107	261	10	21	22%	7%	69	-0.8
✕Luke Shliger 2024 · A	22	48	39→40	47→50	46	228/295/315	87	300	6	9	25%	7%	75	-0.5	216/309/312	96	303	8	12	28%	10%	80	-0.1	213/312/314	101	295	10	14	28%	11%	82	-0.0
✕Alexander Campos 2022 · A	22	43	42→40	46→45	49	206/292/311	105	279	9	6	28%	9%	74	-0.6	222/303/310	88	316	7	6	29%	9%	78	-0.3	239/331/311	72	336	7	6	28%	11%	86	+0.1
✕Bryan Lavastida 2021 · A	22	47→44	38→45	46→55	46	221/290/302	81	298	5	8	26%	8%	70	-0.8	224/291/339	115	293	11	13	26%	7%	79	-0.2	221/293/333	112	282	11	27	24%	8%	77	-0.2
✕Allan Castro 2024 · A	21	42→45	42→45	52→50	47	205/277/316	111	276	7	12	27%	8%	69	-0.9	213/282/329	116	284	11	15	27%	8%	74	-0.6	212/279/324	113	274	12	17	26%	8%	69	-0.7
✕Dayan Frias 2024 · A	22	45→43	42→40	46→55	47	216/291/319	103	302	9	7	30%	9%	74	-0.5	197/271/290	93	282	8	14	30%	9%	61	-1.5	180/256/265	85	257	7	19	31%	8%	48	-1.7
✕Carlos Narváez 2021 · A	22	47→45	38→45	48→45	46	219/291/300	81	314	5	6	30%	9%	70	-0.8	192/278/307	115	300	13	5	37%	9%	68	-1.0	214/298/346	132	289	15	6	29%	9%	83	+0.1
✕Brennan Milone 2023 · A	22	50→46	39→45	50→45	46	239/301/325	86	316	7	7	25%	8%	79	-0.2	223/299/352	129	290	14	5	26%	9%	85	+0.2	210/290/338	127	271	14	5	27%	9%	77	-0.3
✕Marcus Littlewood 2014 · A	22	41	40→45	48→45	47	197/272/295	98	284	7	4	31%	9%	62	-1.4	207/273/319	112	272	10	5	26%	8%	68	-1.0	207/274/317	110	265	10	4	25%	8%	65	-0.6
✕Jeferson Morales 2021 · A	22	42→47	40→45	47→50	52	201/291/303	102	246	6	8	20%	9%	72	-0.7	201/282/330	129	264	13	9	28%	8%	75	-0.5	222/297/349	127	274	11	8	22%	7%	81	-0.0
✕Dustin Garneau 2010 · A	22	44→38	39→50	51→45	47	208/287/296	88	277	5	6	25%	8%	68	-1.0	202/269/324	122	253	11	5	24%	8%	68	-1.0	178/254/344	166	215	21	0	29%	7%	67	-0.4
✕Jhon Nuñez 2017 · A	22	47	40	45→50	44	225/277/319	94	292	6	8	24%	6%	69	-0.9	231/274/317	86	299	7	9	24%	5%	67	-1.1	233/277/313	80	297	7	10	23%	4%	65	-0.5
✕Ryne Malone 2007 · A	22	48	41→45	48→50	49	227/297/333	106	290	6	10	23%	8%	80	-0.2	215/279/310	95	272	7	6	22%	7%	68	-1.0	197/264/276	80	244	5	1	20%	7%	53	-1.0
✕Jacob Gonzalez 2024 · A	22	44→45	38→45	46→50	51	208/290/285	76	270	6	6	24%	9%	67	-1.1	218/275/329	111	256	11	12	19%	6%	71	-0.8	220/279/347	127	253	14	13	19%	6%	75	-0.4
✕Juan Mora 2022 · A	22	44	42→45	55	47	215/295/325	110	284	9	14	26%	8%	78	-0.3	222/280/325	103	297	9	9	27%	6%	72	-0.7	218/275/319	102	286	9	8	26%	5%	67	-0.5
✕Elih Marrero 2019 · A	22	45	36→40	49→55	47	212/276/279	66	277	3	5	23%	8%	59	-1.6	212/271/292	80	283	5	9	25%	7%	60	-1.6	210/266/317	107	293	8	22	29%	6%	61	-0.4
✕Raul Beracierta 2021 · A	22	46	40→45	50	45	219/289/315	96	305	7	8	29%	8%	73	-0.6	216/263/340	124	322	13	6	35%	5%	69	-0.9	213/256/344	131	310	16	3	35%	5%	63	-0.6
✕Nick Goodwin 2024 · A	22	45→46	42→45	49→45	44	214/297/327	113	289	9	9	28%	7%	80	-0.2	190/264/304	114	260	12	7	30%	7%	61	-1.5	187/265/309	122	249	13	6	29%	8%	61	-1.0
✕Patrick Bailey 2022 · A	23	43→49	44→45	50→45	43	211/277/328	117	305	11	8	33%	8%	72	-0.7	217/286/343	126	292	13	5	28%	8%	78	-0.3	221/291/343	122	286	14	4	26%	8%	80	-0.1

Career Stats + Projections

Career Comps

Career Path Comps