Alex Colomé — OGILVIE

Alex Colomé P Charlotte Knights

Age 37 RHP 6'2" / 240 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION0 act + 13 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 126118vR 109

ERA4.40

FIP4.37

K%22.4%

BB%9.1%

K-BB%13.2%

ROS IP13

Value2026 · WAR

Runs saved vs league avg · 13 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4545

CMD4040

K†5555

Statcast Percentiles

FB Velo

p5094.5

Whiff%

p1320.1%

p1014.9%

xwOBA vs

p100.368

CT-1.0

Contract

No contract data on file. Pre-MLB players and minor-league free agents do not yet have salary projections — entries are added at first 40-man roster placement.

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 WAR & MLE are computed

Stats are park-neutral MLB equivalents. The "TEAM" column shows current org affiliation only — we do NOT project at that team's park.
Rates (K%, BB%, HR-BF) are park-stripped; MiLB stat lines are translated to their MLB-equivalent via per-level MLE factors.
WAR is computed from projected runs prevented vs a replacement pitcher (the marginal arm a team would call up if this pitcher were unavailable) — calibrated to industry-standard fWAR.

Year	Age	Lvl	Team	G	GS	IP	BF	K	BB	HR	GS%	IP/G	K%	BB%	K-BB%	HR%	ERA	FIP	WAR
▸ Career — actual stats, one row per year (as recorded, no adjustments)
▸ Career — adjusted (each season translated to a park/league-neutral MLB-equivalent line; levels combined per year)
▸ Model inputs — neutral MLE (past 3 seasons + 2026 so far)
2015	26	MIX MLE	3 levels	47	17	125	522	105	30	12	36%	2.7	19.3%	5.9%	13.3%	2.0%	3.74	3.33	+1.8
2015	26	MIX RAW	3 levels	47	17	125	522	105	30	12	36%	2.7	20.1%	5.7%	14.4%	2.3%	3.74	3.39	+1.7
2016	27	MLB MLE	Tampa Bay Rays	57	0	57	226	71	14	6	0%	1.0	31.4%	6.2%	25.2%	2.7%	1.91	2.73	+1.2
2016	27	MLB RAW	Tampa Bay Rays	57	0	57	226	71	14	6	0%	1.0	31.4%	6.2%	25.2%	2.7%	1.91	2.71	+1.2
2017	28	MLB MLE	Tampa Bay Rays	65	0	67	281	58	16	4	0%	1.0	20.6%	5.7%	14.9%	1.5%	3.24	2.88	+1.3
2017	28	MLB RAW	Tampa Bay Rays	65	0	67	281	58	16	4	0%	1.0	20.6%	5.7%	14.9%	1.4%	3.24	2.86	+1.3
2018	29	MLB MLE	Seattle Mariners	70	0	68	282	72	19	7	0%	1.0	25.5%	6.7%	18.8%	2.5%	3.04	3.19	+1.1
2018	29	MLB RAW	Seattle Mariners	70	0	68	282	72	19	7	0%	1.0	25.5%	6.7%	18.8%	2.5%	3.04	3.16	+1.1
2019	30	MLB MLE	Chicago White Sox	62	0	61	249	55	21	7	0%	1.0	22.1%	8.4%	13.7%	2.8%	2.80	3.82	+0.5
2019	30	MLB RAW	Chicago White Sox	62	0	61	249	55	21	7	0%	1.0	22.1%	8.4%	13.7%	2.8%	2.80	3.82	+0.5
2020	31	MLB MLE	Chicago White Sox	21	0	22	90	16	8	0	0%	1.1	17.8%	8.9%	8.9%	0.0%	0.81	2.72	+0.5
2020	31	MLB RAW	Chicago White Sox	21	0	22	90	16	8	0	0%	1.1	17.8%	8.9%	8.9%	0.0%	0.81	2.74	+0.5
2021	32	MLB MLE	Minnesota Twins	67	0	65	290	58	22	8	0%	1.0	20.0%	7.6%	12.4%	2.7%	4.15	3.88	+0.5
2021	32	MLB RAW	Minnesota Twins	67	0	65	290	58	22	8	0%	1.0	20.0%	7.6%	12.4%	2.8%	4.15	3.93	+0.5
2022	33	MLB MLE	Colorado Rockies	53	0	47	215	32	20	5	0%	0.9	14.9%	9.3%	5.6%	2.1%	5.74	4.15	+0.2
2022	33	MLB RAW	Colorado Rockies	53	0	47	215	32	20	5	0%	0.9	14.9%	9.3%	5.6%	2.3%	5.74	4.40	+0.1
2023	34	MIX MLE	2 levels	37	0	36	171	28	18	3	0%	1.0	13.8%	8.7%	5.2%	1.2%	3.47	3.70	+0.4
2023	34	MIX MLE	2 levels	37	0	36	171	28	18	3	0%	1.0	13.8%	8.7%	5.2%	1.2%	3.47	3.70	+0.4
2023	34	MIX RAW	2 levels	37	0	36	171	28	18	3	0%	1.0	16.4%	10.5%	5.8%	1.8%	3.47	4.12	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			442	13	499	2105	452	150	47	3%	1.1	21.5%	7.1%	14.3%	2.2%	3.42	3.41	+6.8
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	37	MLB	CWS	12	0	13	55	12	5	2	0%	1.1	22.4%	9.1%	13.2%	3.0%	4.40	4.37	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	38	MLB MLE	CWS	119	0	125	527	112	52	18	0%	1.0	21.2%	9.8%	11.4%	3.4%	4.64	4.80	-0.4
2028	39	MLB MLE	CWS	102	0	107	453	91	48	17	0%	1.1	20.1%	10.5%	9.5%	3.9%	5.00	5.24	-0.8
2027	38	MLB CTX	CWS	119	0	125	528	112	52	18	0%	1.1	21.2%	9.8%	11.4%	3.4%	4.64	4.80	-0.4
2028	39	MLB CTX	CWS	102	0	107	452	91	48	17	0%	1.0	20.1%	10.5%	9.5%	3.9%	5.00	5.24	-0.8
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		663	13	731	3084	654	250	82	2%	1.1	21.2%	8.1%	13.1%	2.7%	3.86	3.80	+6.5
/ 200 IP	—	RAW		181	4	200	844	179	68	22	2%	1.1	21.2%	8.1%	13.1%	2.7%	3.86	3.80	+1.8
Career	—	MLE		479	17	548	2326	486	166	49	4%	1.1	20.9%	7.1%	13.8%	2.1%	3.38	3.40	+5.5
/ 200 IP	—	MLE		175	6	200	849	177	60	18	4%	1.1	20.9%	7.1%	13.8%	2.1%	3.38	3.40	+1.5

Career Path Comps

What happened to similar pitchers from this age · Y-axis: ERA+ (100 = league avg, 150 = elite, 80 = below) · Bands: P10–P90 outer, P25–P75 inner · Gold: OGILVIE projection

			Profile at Match Age					Next 3 Yrs				Career
Comp	Age	Role	FIP	K%	BB%	HR/BF	BABIP	FIP	K%	K-BB%	IP	ΔFIP	Low FIP	IP	Match
Alex Colomé (OGILVIE)	—	—	4.37	22.4%	9.1%	3.0%	—	5.00	20.7%	10.5%	232	+0.63	—	—	—
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	71
Dustin McGowan R 2017 · 4.58 FIP	35	SU	4.58	19.4%	6.7%	4.2%	.277	—	—	—	—	—	3.82	208	71
Joaquín Benoit R 2015 · 3.58 FIP	38	SU	3.58	24.8%	8.7%	2.7%	.179	4.11	23.5%	12.9%	98	+0.53	3.58	164	69
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	4.12	186	68
Santiago Casilla R 2017 · 4.13 FIP	37	SU	4.13	22.0%	8.1%	3.4%	.289	4.14	16.8%	1.6%	44	+0.01	3.50	219	68
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	4.15	145	67
Juan Sandoval R 2017 · 3.42 FIP	36	SU	3.42	16.7%	7.2%	1.5%	.298	5.41	15.9%	8.7%	57	+1.99	3.24	225	64
Matt Belisle R 2017 · 3.62 FIP	37	SU	3.62	21.9%	6.5%	2.8%	.241	4.60	15.4%	9.2%	34	+0.98	2.51	174	63
Logan Kensing R 2017 · 3.28 FIP	35	SU	3.28	16.5%	7.9%	1.0%	.308	—	—	—	—	—	2.73	172	62
Ryan Madson R 2018 · 3.49 FIP	37	SU	3.49	23.4%	6.1%	2.9%	.327	—	—	—	—	—	1.42	240	59
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	58
Peter Moylan R 2016 · 3.59 FIP	37	SU	3.59	17.7%	7.9%	1.8%	.263	4.00	18.5%	8.6%	88	+0.41	3.11	174	57
Matt Bush R 2023 · 3.83 FIP	37	SU	3.83	25.8%	8.7%	3.3%	.225	—	—	—	—	—	2.87	249	53
Ramon E Ramirez R 2017 · 3.49 FIP	35	SU	3.49	14.0%	5.8%	1.5%	.286	—	—	—	—	—	2.37	140	53
Jason Motte R 2017 · 5.16 FIP	35	SU	5.16	16.3%	11.4%	3.6%	.193	—	—	—	—	—	3.18	113	52
Ronald Belisario R 2019 · 4.16 FIP	36	SU	4.16	12.7%	3.9%	3.0%	.322	—	—	—	—	—	2.10	126	51
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	51
Chien-Ming Wang R 2016 · 4.53 FIP	36	SU	4.53	13.0%	7.8%	2.8%	.305	—	—	—	—	—	4.23	183	51
Salvador Valdez R 2019 · 4.30 FIP	36	SW	4.30	17.1%	8.2%	2.9%	.405	—	—	—	—	—	3.60	326	50
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	50

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	1.9	126	21.3%	9.8%	1.30	4.65
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
Mike Foltynewicz ('21)	4.0	134	21.4%	7.7%	1.46	4.45
Kutter Crawford ('24)	2.0	130	23.9%	7.2%	1.45	4.47
Kyle Wright ('23)	1.2	83	22.4%	8.9%	1.12	3.97
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97