Colten Schmidt — OGILVIE

Colten Schmidt P Hartford Yard Goats

Age 30 LHP 6'0" / 175 lbs AA peak 0.2 · 2026

2026 ROS PROJECTION0 act + 1 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 102110vR 118

ERA4.49

FIP4.49

K%20.9%

BB%8.8%

K-BB%12.1%

ROS IP1

Value2026 · WAR

Runs saved vs league avg · 1 IP

Grades · Contract

Scouting Grades

K†5050

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)
2019	23	MIX MLE	2 levels	24	23	135	578	128	24	10	96%	5.6	16.5%	4.8%	11.7%	1.8%	3.47	3.28	—
2019	23	MIX RAW	2 levels	24	23	135	578	128	24	10	96%	5.6	22.1%	4.2%	18.0%	1.7%	3.47	2.70	—
2023	27	MIX MLE	3 levels	14	5	33	155	30	10	5	36%	2.4	14.4%	8.0%	6.3%	4.2%	5.73	5.23	—
2023	27	MIX MLE	3 levels	14	5	33	155	30	10	5	36%	2.4	14.4%	8.0%	6.3%	4.2%	5.73	5.23	—
2023	27	MIX RAW	3 levels	14	5	33	155	30	10	5	36%	2.4	19.4%	6.5%	12.9%	3.2%	5.73	4.16	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	COL	1	1	1	4	1	0	0	100%	1.0	20.9%	8.8%	12.1%	3.0%	4.49	4.49	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	COL	3	3	20	84	18	8	3	100%	6.7	20.8%	9.2%	11.6%	3.3%	4.59	4.68	+0.1
2027	31	MLB CTX	COL	1	1	6	25	5	2	1	100%	6.0	20.8%	9.2%	11.6%	3.3%	4.59	4.68	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	6	26	5	2	1	100%	6.3	20.8%	9.2%	11.6%	3.3%	4.59	4.30	+0.0
/ 200 IP	—	RAW		33	33	200	844	160	64	32	100%	6.0	20.8%	9.2%	11.6%	3.3%	4.59	4.30	+1.4
Career	—	MLE		38	28	168	733	118	40	17	74%	4.4	16.0%	5.5%	10.5%	2.3%	3.91	3.70	+0.1
/ 200 IP	—	MLE		45	33	200	873	140	48	20	74%	4.4	16.0%	5.5%	10.5%	2.3%	3.91	3.70	+0.5

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
Colten Schmidt (OGILVIE)	—	—	4.49	20.9%	8.8%	3.0%	—	4.68	20.8%	11.6%	20	+0.19	—	—	—
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	75
Brandon Mann L 2016 · 4.72 FIP	32	SP	4.72	19.4%	7.9%	4.1%	.320	3.97	19.0%	7.6%	128	-0.75	3.59	190	69
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	68
Kwang Hyun Kim L 2020 · 3.76 FIP	32	SP	3.76	15.6%	6.5%	2.1%	.214	4.21	17.7%	9.5%	107	+0.45	3.76	146	68
Marlon Arias L 2015 · 4.32 FIP	30	SP	4.32	16.8%	12.2%	2.0%	.330	3.73	17.2%	9.5%	22	-0.59	3.73	154	67
Travis Blackley L 2015 · 4.91 FIP	32	SP-	4.91	15.4%	6.4%	4.2%	.324	4.45	10.5%	0.0%	137	-0.46	3.85	225	65
Matt Lujan L 2017 · 4.69 FIP	28	SP-	4.69	14.3%	6.4%	3.6%	.348	—	—	—	—	—	4.06	227	64
Ryan Verdugo L 2017 · 3.36 FIP	30	SP-	3.36	22.7%	5.4%	2.7%	.333	—	—	—	—	—	3.36	153	64
Everett Teaford L 2015 · 4.42 FIP	31	SP-	4.42	13.9%	7.6%	2.8%	.324	—	—	—	—	—	4.42	103	63
Jeremy Horst L 2016 · 3.71 FIP	30	SP	3.71	15.1%	12.4%	0.6%	.333	—	—	—	—	—	3.71	108	63
Darin Gorski L 2016 · 4.50 FIP	28	SP	4.50	15.0%	9.8%	2.6%	.299	—	—	—	—	—	4.50	206	62
Luke Westphal L 2021 · 4.70 FIP	32	SP-	4.70	22.7%	13.1%	3.4%	.321	4.59	21.7%	7.5%	95	-0.11	2.97	294	62
Logan Darnell L 2019 · 3.97 FIP	30	SP-	3.97	12.8%	6.1%	2.1%	.306	—	—	—	—	—	3.16	430	61
Jorge Castillo L 2015 · 4.50 FIP	33	SP	4.50	16.8%	9.2%	3.0%	.292	4.95	12.4%	7.2%	186	+0.45	4.50	408	61
Alejandro Soto L 2016 · 3.96 FIP	30	SP	3.96	14.9%	6.4%	2.4%	.367	4.15	15.9%	10.3%	97	+0.19	3.96	280	61
Misael Siverio L 2017 · 4.32 FIP	28	SP	4.32	17.3%	9.1%	2.8%	.299	—	—	—	—	—	3.89	185	60
Orlando Lara L 2015 · 4.29 FIP	30	SP	4.29	15.2%	10.3%	2.1%	.348	4.08	14.2%	7.2%	230	-0.21	3.85	426	60
Tomas Solis L 2015 · 4.20 FIP	32	SP	4.20	15.0%	6.2%	2.9%	.264	5.09	12.0%	3.7%	159	+0.89	4.20	327	57
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	57
Brian Johnson L 2021 · 4.94 FIP	30	SP-	4.94	15.5%	9.1%	3.6%	.287	—	—	—	—	—	3.39	506	56