Juan Cota

P FCL Twins

Age 22 RHP 6'1" / 170 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	ROKMIN	7	6	15	7.04	3.88	12.9%	14.3%	—	K 8.7% · BB 17.9% · FIP 4.62
2025	20	ROKMIN	9	4	24	6.08	4.07	23.4%	6.5%	—	K 15.9% · BB 8.2% · FIP 5.65
2027PROJ	22	MLBMIN	3	3	13	4.53	4.53	21.6%	9.6%	0.1
2028PROJ49% MLB	23	MLBMIN	2	2	11	4.42	4.36	22.5%	9.1%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsCarson Rudd (age 22) · Hunter Gregory (age 23) · Casey Legumina (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.53

FIP4.53

K%21.6%

BB%9.6%

K-BB%12.0%

Proj IP13

Value2027 · WAR

Runs saved vs league avg · 13 IP

Grades · Contract

Scouting Grades

K†5055

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 + 2027 so far)
2023	18	ROK MLE	DSL Twins	10	5	30	117	30	7	0	50%	3.0	17.4%	7.5%	10.0%	0.0%	2.73	2.57	—
2023	18	ROK RAW	DSL Twins	10	5	30	117	30	7	0	50%	3.0	25.6%	6.0%	19.7%	0.0%	2.73	1.79	—
2024	19	ROK MLE	FCL Twins	7	6	15	70	9	10	0	86%	2.2	8.7%	17.9%	-9.1%	0.0%	7.04	4.62	—
2024	19	ROK MLE	FCL Twins	7	6	15	70	9	10	0	86%	2.2	8.7%	17.9%	-9.1%	0.0%	7.04	4.62	—
2024	19	ROK RAW	FCL Twins	7	6	15	70	9	10	0	86%	2.2	12.9%	14.3%	-1.4%	0.0%	7.04	3.88	—
2025	20	ROK MLE	FCL Twins	9	4	24	107	25	7	4	44%	2.6	15.9%	8.2%	7.7%	5.2%	6.08	5.65	—
2025	20	ROK MLE	FCL Twins	9	4	24	107	25	7	4	44%	2.6	15.9%	8.2%	7.7%	5.2%	6.08	5.65	—
2025	20	ROK RAW	FCL Twins	9	4	24	107	25	7	4	44%	2.6	23.4%	6.5%	16.8%	3.7%	6.08	4.07	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	MIN	3	3	13	55	12	5	2	100%	4.3	21.6%	9.6%	12.0%	3.0%	4.53	4.53	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	MIN	4	4	22	93	21	8	3	100%	5.5	22.5%	9.1%	13.4%	3.0%	4.42	4.36	+0.1
2028	23	MLB CTX	MIN	2	2	11	46	10	4	1	100%	5.5	22.5%	9.1%	13.4%	3.0%	4.42	4.36	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	11	46	10	4	1	100%	5.4	22.5%	9.1%	13.4%	3.0%	4.42	3.98	+0.1
/ 200 IP	—	RAW		37	37	200	844	184	74	18	100%	5.3	22.5%	9.1%	13.4%	3.0%	4.42	3.98	+2.2
Career	—	MLE		26	15	69	294	44	30	6	58%	2.6	14.8%	10.2%	4.6%	1.9%	4.85	4.18	+0.1
/ 200 IP	—	MLE		76	44	200	856	127	87	16	58%	2.6	14.8%	10.2%	4.6%	1.9%	4.85	4.18	+1.3

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
Juan Cota (OGILVIE)	—	—	4.53	21.6%	9.6%	3.0%	—	4.36	22.5%	13.4%	22	-0.17	—	—	—
Carson Rudd R 2021 · 3.39 FIP	22	SP-	3.39	25.4%	10.6%	2.0%	.351	5.24	21.6%	5.6%	193	+1.85	3.39	242	84
Hunter Gregory R 2022 · 3.90 FIP	23	SP-	3.90	21.2%	8.7%	2.7%	.374	4.56	20.4%	7.9%	188	+0.66	3.84	249	83
Casey Legumina R 2021 · 4.08 FIP	24	SP-	4.08	23.3%	9.3%	3.2%	.260	4.33	20.2%	11.3%	189	+0.25	3.54	355	83
Colin Fields R 2023 · 3.62 FIP	23	SP-	3.62	20.5%	10.3%	1.7%	.246	3.86	22.0%	13.3%	208	+0.24	2.87	254	82
Connor Cooke R 2022 · 3.35 FIP	22	SP-	3.35	23.7%	8.4%	2.2%	.350	4.10	24.4%	11.8%	56	+0.75	2.93	103	81
Ray Gaither R 2022 · 4.85 FIP	24	SP-	4.85	21.9%	13.2%	3.5%	.314	4.34	18.3%	5.8%	123	-0.51	3.84	164	79
Rico Garcia R 2017 · 3.37 FIP	23	SP-	3.37	18.8%	7.0%	1.8%	.316	4.07	19.8%	11.5%	296	+0.70	3.37	592	78
Chad Donato R 2017 · 3.85 FIP	22	SP-	3.85	20.9%	11.4%	2.0%	.333	3.99	21.4%	12.6%	184	+0.14	2.89	439	78
Cole Stapler R 2017 · 3.83 FIP	22	SW	3.83	19.2%	6.0%	2.9%	.266	3.31	18.1%	13.2%	220	-0.52	3.26	255	77
Juan Mendez R 2021 · 4.45 FIP	22	SW	4.45	20.5%	14.2%	2.3%	.271	5.07	21.9%	6.1%	128	+0.62	3.69	156	77
Dustin McGowan R 2005 · 4.62 FIP	23	SP-	4.62	16.6%	8.3%	3.4%	.286	3.65	19.1%	10.3%	308	-0.97	3.36	690	77
Noah Skirrow R 2021 · 4.55 FIP	23	SP-	4.55	18.4%	11.5%	2.8%	.306	4.71	16.1%	6.1%	316	+0.16	3.97	371	77
Clay Chandler R 2017 · 4.97 FIP	23	SP-	4.97	18.3%	6.0%	4.8%	.319	4.89	14.8%	8.8%	293	-0.08	4.49	328	76
Clarke Schmidt R 2018 · 3.53 FIP	22	SP	3.53	23.1%	8.5%	2.4%	.324	3.26	21.3%	13.1%	108	-0.27	2.77	537	76
Caleb Sampen R 2018 · 3.46 FIP	22	SP	3.46	21.7%	8.3%	2.1%	.358	3.49	15.2%	6.8%	139	+0.03	3.09	213	76
Chris Campos R 2023 · 4.91 FIP	22	SP-	4.91	21.0%	11.8%	3.8%	.364	4.57	18.6%	11.6%	249	-0.34	4.54	318	76
Nathanael Santiago R 2015 · 3.44 FIP	25	SP-	3.44	20.3%	11.4%	1.1%	.286	3.58	23.2%	10.9%	71	+0.14	2.49	138	76
Jared Ruxer R 2015 · 4.16 FIP	23	SP-	4.16	17.3%	10.6%	2.1%	.333	4.29	14.9%	7.5%	240	+0.13	3.39	270	76
Andrew Quezada R 2021 · 4.40 FIP	24	SP-	4.40	18.1%	8.1%	3.3%	.312	4.86	14.6%	6.1%	291	+0.46	4.40	412	76
John Matthews R 2021 · 4.87 FIP	23	SW	4.87	18.6%	10.4%	3.7%	.351	4.75	15.5%	1.6%	145	-0.12	4.51	213	76