Colin Houck — OGILVIE

Colin Houck3B Brooklyn Cyclones

Age 21 R/R 6'2" / 190 lbs A+ H -5% Svc 0.0 · Ctrl thru 2035

2026 ROS PROJECTION400 act + 10 ros · stats below = ROS only

showingROS

wRC+†21

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

PA10

HR0

K%50

BB%10

BABIP257

ISO89

MLB%0%

Value2026 · WAR

trajectory · projected WAR by year

Tools · ContractCON 30 / POW 50

Toolsscout grade

CONTACT30

scouting grade only

POWER50

scouting grade only

EYE50

scouting grade only

SPEED55

scouting grade only

DEFENSE50

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		$-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)
2023	18	ROK	FCL Mets	—	36	29	7	0	1	0	7	8	0	0	1	241	389	310	699	69	333	22	19	331	110	+0	-0	—	—	+1	0.1
2024	19	A	St. Lucie Mets	—	471	408	84	16	5	5	49	171	10	8	4	206	306	306	613	100	335	36	10	282	77	-13	+0	—	—	+10	-0.3
2025	20	A+	Brooklyn Cyclones	—	212	187	37	7	2	2	19	78	1	3	1	198	275	289	564	91	312	37	9	254	58	-11	+0	—	—	+5	-0.6
2025	20	A	St. Lucie Mets	—	268	230	58	14	5	8	33	77	3	11	2	252	353	461	814	209	340	29	12	358	129	+9	+1	—	—	+6	1.7
▸ Career — adjusted (every ACTUAL line translated to park/league-neutral MLB equivalents)
2023	18	ROK MLE	FCL Mets	—	36	32	5	0	1	0	4	12	0	0	1	156	250	219	469	62	259	33	11	220	35	-3	-0	—	—	+1	-0.2
2024	19	A MLE	St. Lucie Mets	—	471	422	60	12	3	4	35	245	10	8	4	142	225	213	438	71	306	52	7	202	23	-43	+0	—	—	+10	-3.4
2025	20	A+ MLE	Brooklyn Cyclones	—	212	194	28	5	2	1	12	103	1	3	1	144	198	206	404	62	268	49	6	184	11	-23	+0	—	—	+5	-1.8
2025	20	A MLE	St. Lucie Mets	—	268	237	48	13	3	7	26	103	3	11	2	203	289	371	661	169	315	38	10	292	84	-5	+1	—	—	+6	0.2
2023	18	ROK MLE	FCL Mets	—	36	32	5	0	1	0	4	12	0	0	1	156	250	219	469	62	250	33	11	220	35	—	—	—	—	—	—
2023	18	ROK RAW	FCL Mets	—	36	29	7	0	1	0	7	8	0	0	1	241	389	310	699	69	333	22	19	331	35	—	—	—	—	—	—
2024	19	A MLE	St. Lucie Mets	—	471	422	60	12	3	4	35	245	10	8	4	142	225	213	438	71	316	52	7	202	23	—	—	—	—	—	—
2024	19	A RAW	St. Lucie Mets	—	471	408	84	16	5	5	49	171	10	8	4	206	306	306	613	100	335	36	10	282	23	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	431	77	18	5	9	38	207	4	14	3	179	252	306	558	128	306	43	8	244	51	—	—	—	—	—	—
2025	20	A RAW	2 teams	—	480	417	95	21	7	10	52	155	4	14	3	228	319	384	703	156	328	32	11	312	51	—	—	—	—	—	—
2023	18	ROK MLE	FCL Mets	—	36	32	5	0	1	0	4	12	0	0	1	156	250	219	469	62	259	33	11	220	35	—	—	—	—	—	—
2024	19	A MLE	St. Lucie Mets	—	471	423	60	12	3	4	35	245	10	8	4	142	225	213	438	71	306	52	7	202	23	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	435	77	18	5	9	38	207	4	14	3	177	252	303	555	126	294	43	8	244	51	—	—	—	—	—	—
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2023	18	ROK MLE	FCL Mets	—	36	32	5	0	1	0	4	12	0	0	1	156	250	219	469	62	259	33	11	220	35	—	—	—	—	—	—
2024	19	A MLE	St. Lucie Mets	—	471	423	60	12	3	4	35	245	10	8	4	142	225	213	438	71	306	52	7	202	23	—	—	—	—	—	—
2025	20	A MLE	2 teams	—	480	435	77	18	5	9	38	207	4	14	3	177	252	303	555	126	294	43	8	244	51	—	—	—	—	—	—
YTD	21	A+ MLE	NYM	—	400	370	52	11	1	6	23	206	4	8	3	141	199	224	423	84	286	52	6	193	17	-40	+0	+0	+1	+9	-3.0
▸ 2026 season
YTD	21	A+ RAW	NYM	—	400	358	76	17	2	9	35	154	4	8	3	212	290	346	636	134	338	38	9	286	17	—	—	—	—	—	—
ROS	21	A+ MLE	NYM	0%	10	9	1	0	0	0	1	5	0	0	0	111	200	111	311		264	50	10	199	21	-1	+0	-0	+0	+0	-0.1
TOT	21	A+ MLE	NYM	—	410	379	53	11	1	6	24	211	4	8	3	140	199	222	421	82	285	51	6	193	17	-41	+0	-0	+1	+9	-3.0
▸ Career projection (2027+) — MLB context, MLB playing time (PA × MLB%)
2027	22	MLB MLE	NYM	35%	518	472	74	15	2	11	36	233	5	7	2	157	224	267	491	110	271	45	7	224	38	-38	+1	-1	+2	+11	-2.6
2028	23	MLB MLE	NYM	49%	560	509	86	17	3	14	40	240	6	8	3	169	238	297	534	128	274	43	7	240	48	-34	+0	-1	+2	+12	-2.1
2029	24	MLB MLE	NYM	53%	605	549	96	19	3	16	45	251	6	8	3	175	245	308	553	133	276	41	7	249	55	-33	+0	-1	+2	+13	-1.8
2030	25	MLB MLE	NYM	55%	627	569	101	19	3	18	47	256	6	9	3	178	248	316	564	139	277	41	7	254	58	-31	+1	-1	+2	+14	-1.6
2027	22	MLB CTX	NYM	35%	179	163	25	5	1	4	12	80	2	2	1	153	220	270	490	117	264	45	7	213	38	-13	+0	-0	+1	+4	-0.9
2028	23	MLB CTX	NYM	49%	272	247	41	8	1	7	20	116	3	4	1	166	237	291	529	126	267	43	7	229	48	-17	+0	-0	+1	+6	-1.0
2029	24	MLB CTX	NYM	53%	319	290	49	9	1	9	23	132	3	4	1	169	237	300	537	131	269	41	7	238	55	-17	+0	-0	+1	+7	-0.9
2030	25	MLB CTX	NYM	55%	343	310	54	10	2	10	26	140	4	5	2	174	247	316	563	142	270	41	8	243	58	-17	+0	-0	+1	+7	-0.9
▸ Career Totals
▸ Career totals — MLB only (actual + projected)
Career	—	A+C		—	1113	1010	169	32	5	30	81	468	12	15	5	167	238	298	536	131	268	42	7	233	46	-64	+1	-1	+4	+24	-3.7
/ 162G	—	A+C		—	650	590	100	19	3	18	47	273	7	9	3	169	239	303	543	134	271	42	7	233	46	-38	+1	-1	+2	+14	-2.2
Career	—	MLE		—	3307	2993	500	100	20	72	246	1449	37	54	19	167	239	286	525	119	286	44	7	237	46	-138	+2	-2	+8	+50	-8.1
/ 162G	—	MLE		—	650	588	99	20	4	14	48	285	7	11	4	168	240	287	527	119	289	44	7	237	46	-39	+1	-1	+2	+14	-2.3

PLAYER · career totals + /162 games	162s	PA	HR	SB	AVG	OBP	SLG	POS	FLD	WAR	JAWS
#1Sandy Leónlast yr '22 career totals — 9 seasons, 1,648 PA	2.5	1,648	31	1	209	276	313	+29	+56	6.4	6.7
/162	664	12	0	+11.9	+22.4	2.6	pk7: 7
#2J.P. Arencibialast yr '15 career totals — 5 seasons, 1,650 PA	2.5	1,650	78	2	213	260	414	+29	-4	4.2	4.2
/162	664	31	1	+11.9	-1.7	1.7	pk7: 4
#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
#4Ryan 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
#5Nick 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
OGOGILVIE CAREER PROJECTION career totals — every cell rolls up across 2 projected seasons	1.7	1,115	29	15	172	238	302	+12	+0	-2.0	-1.0
/162	664	17	9	+7.1	+0.0	-1.2	pk7: 0
#6Alexi Amaristalast yr '17 career totals — 7 seasons, 1,901 PA	2.9	1,901	21	39	231	275	323	+14	-6	-1.1	-1.1
/162	664	7	14	+4.9	-2.1	-0.4	pk7: -1

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
Colin Houck (OGILVIE)	21	20→30	30→50	55	50	138/203/224	86	264	5	5	48%	6%	21	-2.4	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—	—
✕Ignacio Valdez 2016 · A	21	34	39→45	48→50	38	168/235/254	87	269	6	8	38%	7%	39	-3.1	171/234/292	121	290	14	4	43%	7%	48	-2.5	135/184/266	131	201	17	0	42%	5%	19	-1.1
✕Will Banfield 2021 · A	21	34→37	40→45	47→30	34	175/220/263	88	269	9	3	37%	5%	35	-3.4	180/223/291	111	261	12	3	35%	4%	42	-2.9	193/233/284	91	269	10	0	31%	4%	42	-1.5
✕Yeuris Ramirez 2019 · A	20	33	39→40	47→50	40	163/252/248	85	260	6	8	37%	7%	45	-2.7	192/272/290	98	317	8	13	39%	7%	62	-1.4	158/238/238	80	331	8	23	50%	6%	35	-1.2
✕George Feliz 2023 · A	20	36	40→50	54→45	36	177/235/269	91	291	8	13	40%	6%	42	-2.9	176/238/276	100	311	10	11	44%	6%	45	-2.7	164/227/275	111	272	14	9	43%	6%	39	-1.1
✕Edwin Díaz 2017 · A	21	33	38→50	45→40	33	163/218/235	71	269	6	4	40%	5%	28	-3.9	177/237/283	106	274	11	3	37%	7%	47	-2.6	154/228/294	140	225	19	5	40%	7%	45	-1.1
✕Jase Bowen 2022 · A	21	37→40	42→50	54→55	35	184/245/283	99	282	10	12	37%	5%	50	-2.3	197/252/315	118	289	14	16	35%	5%	59	-1.6	203/254/335	133	288	14	24	34%	5%	62	-0.9
✕Osiris Johnson 2022 · A	21	34	44→40	51→50	37	180/234/289	108	263	12	7	36%	6%	47	-2.6	190/240/283	93	270	10	11	32%	6%	47	-2.5	180/229/259	79	249	9	15	31%	5%	35	-1.5
✕William Lugo 2022 · A	20	35→39	41→45	46→45	39	175/248/270	95	282	10	7	39%	8%	48	-2.5	191/259/306	115	279	12	4	34%	7%	60	-1.6	176/251/288	112	253	12	4	33%	8%	51	-1.6
✕Ismael Alcantara 2019 · A	20	39→29	38→45	51→50	41	185/255/266	81	281	5	13	34%	7%	49	-2.4	210/275/314	104	329	8	15	36%	7%	68	-1.0	190/253/306	116	287	12	16	36%	6%	55	-0.9
✕Carlos Pacheco 2019 · A	20	34	40→45	45→50	40	171/240/260	88	276	8	9	39%	8%	42	-2.9	188/245/276	88	325	7	9	41%	7%	47	-2.5	155/212/245	90	274	9	10	44%	6%	26	-1.3
✕Fabian Pertuz 2023 · A	22	37→34	40	49→55	33	186/229/277	91	285	8	9	37%	4%	41	-3.0	175/226/265	90	273	8	12	37%	5%	38	-3.2	148/203/228	80	231	8	13	38%	5%	19	-2.4
✕Dale Burdick 2017 · A	21	38	39→45	49→50	38	178/248/265	88	296	5	7	39%	7%	47	-2.6	177/252/273	96	312	7	8	42%	8%	50	-2.3	144/231/235	92	254	8	8	43%	9%	31	-1.3
✕Omar Meregildo 2018 · A	20	36→33	37→45	47→30	38	174/239/249	74	275	4	6	36%	6%	39	-3.1	196/254/306	110	314	10	3	38%	7%	58	-1.7	173/241/298	125	280	15	1	41%	7%	50	-1.2
✕Joey Rose 2019 · A	21	37	42→50	51→40	34	174/237/277	103	312	9	4	45%	6%	45	-2.7	185/239/274	89	295	7	5	37%	6%	45	-2.7	149/192/219	70	221	5	2	34%	4%	12	-1.6
✕Romulo Ruiz 2010 · A	20	32	42→40	47→30	36	169/217/266	97	253	11	5	37%	6%	34	-3.5	189/253/277	88	259	6	4	28%	8%	51	-2.3	185/257/272	88	244	5	1	25%	8%	49	-1.0
✕Tanner Murphy 2016 · A	21	33	40	47→50	41	169/231/258	89	245	8	3	33%	7%	38	-3.2	178/246/252	74	245	7	3	28%	7%	42	-2.9	161/236/214	53	218	5	2	27%	8%	29	-1.4
✕Rafael Morel 2022 · A	20	38	40	51→50	39	187/249/281	94	269	8	13	32%	6%	51	-2.3	196/261/274	78	315	7	10	37%	7%	53	-2.1	188/258/263	75	295	9	10	37%	7%	47	-1.2
✕Nelson Medina 2021 · A	20	37	39→45	48→50	39	176/249/261	85	299	6	10	40%	8%	47	-2.6	197/277/297	100	311	7	14	35%	9%	65	-1.2	144/220/221	77	270	5	19	45%	8%	24	-1.3
✕Andrew Ray 2012 · A	21	36	38→55	50	35	173/229/245	72	298	6	7	42%	6%	34	-3.5	185/216/305	120	289	12	4	39%	4%	42	-2.9	167/192/300	133	257	14	2	41%	3%	30	-1.3
✕Ali Solis 2009 · A	21	38	38→45	47→30	40	181/244/258	78	284	5	4	36%	7%	43	-2.8	198/238/312	114	281	12	3	33%	4%	53	-2.1	230/253/350	120	309	12	1	29%	2%	64	-0.6

Career Stats + Projections

Career Comps

Career Path Comps