Jack Bushell

P FCL Tigers

Age 21 RHP 6'1" / 165 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	18	ROKDET	4	1	13	2.84	3.26	21.2%	15.4%	—	K 14.4% · BB 19.2% · FIP 4.32
2026	20	ROKDET	9	8	27	3.71	4.56	31.9%	9.7%	—	K 21.7% · BB 12.2% · FIP 6.89
2027PROJ	21	MLBDET	3	3	15	4.77	4.77	22.7%	11.7%	0.0
2028PROJ49% MLB	22	MLBDET	2	2	12	4.58	4.49	23.6%	10.5%	0.1

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

Contract

No contract data on file.

Career WAR0 WAR median (P10 -0 / P90 2, comp-based) · star 1% · didn't stick 91%

CompsGabe Bierman (age 21) · Chad Donato (age 22) · Moises Castillo (age 19)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 124116vR 108

ERA4.77

FIP4.77

K%22.7%

BB%11.7%

K-BB%11.0%

Proj IP15

Value2027 · WAR

Runs saved vs league avg · 15 IP

Grades · Contract

Scouting Grades

K†5555

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)
2024	18	ROK MLE	FCL Tigers	4	1	13	52	11	8	0	25%	3.2	14.4%	19.2%	-4.8%	0.0%	2.84	4.32	—
2024	18	ROK MLE	FCL Tigers	4	1	13	52	11	8	0	25%	3.2	14.4%	19.2%	-4.8%	0.0%	2.84	4.32	—
2024	18	ROK RAW	FCL Tigers	4	1	13	52	11	8	0	25%	3.2	21.2%	15.4%	5.8%	0.0%	2.84	3.26	—
2026	20	ROK MLE	FCL Tigers	9	8	27	113	36	11	6	89%	3.0	21.7%	12.2%	9.5%	7.4%	3.71	6.89	—
2026	20	ROK MLE	FCL Tigers	9	8	27	113	36	11	6	89%	3.0	21.7%	12.2%	9.5%	7.4%	3.71	6.89	—
2026	20	ROK RAW	FCL Tigers	9	8	27	113	36	11	6	89%	3.0	31.9%	9.7%	22.1%	5.3%	3.71	4.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	21	MLB	DET	3	3	15	63	14	7	2	100%	5.0	22.7%	11.7%	11.0%	3.1%	4.77	4.77	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	22	MLB MLE	DET	5	5	25	106	25	11	3	100%	5.0	23.6%	10.5%	13.1%	3.1%	4.58	4.49	+0.1
2028	22	MLB CTX	DET	2	2	12	51	12	5	2	100%	6.0	23.6%	10.5%	13.1%	3.1%	4.58	4.49	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	12	52	12	5	2	100%	6.2	23.6%	10.5%	13.1%	3.1%	4.58	4.11	+0.1
/ 200 IP	—	RAW		39	39	200	844	194	81	32	100%	5.1	23.6%	10.5%	13.1%	3.1%	4.58	4.11	+1.9
Career	—	MLE		13	9	39	165	32	24	8	69%	3.0	19.4%	14.4%	5.0%	5.1%	3.43	6.08	+0.1
/ 200 IP	—	MLE		66	46	200	839	163	121	43	69%	3.0	19.4%	14.4%	5.0%	5.1%	3.43	6.08	+1.0

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
Jack Bushell (OGILVIE)	—	—	4.77	22.7%	11.7%	3.1%	—	4.49	23.6%	13.1%	25	-0.28	—	—	—
Gabe Bierman R 2021 · 4.80 FIP	21	SP-	4.80	21.3%	11.8%	3.6%	.277	4.51	16.2%	4.0%	187	-0.29	4.03	328	88
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	86
Moises Castillo R 2024 · 4.58 FIP	19	SP-	4.58	18.1%	11.7%	2.8%	.269	4.06	19.4%	4.9%	67	-0.52	3.76	104	81
Ryan Atkinson R 2016 · 4.58 FIP	23	SP-	4.58	18.4%	11.3%	2.9%	.315	4.48	21.6%	9.0%	305	-0.10	4.14	338	80
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	80
Juan Nuñez R 2022 · 4.49 FIP	21	SP	4.49	19.6%	13.2%	2.5%	.300	4.42	22.8%	8.3%	148	-0.07	2.88	245	79
Carson Fulmer R 2015 · 4.15 FIP	21	SP	4.15	21.4%	11.5%	2.5%	.259	4.96	17.1%	4.0%	364	+0.81	3.88	910	79
Tanner Hall R 2024 · 4.67 FIP	22	SP-	4.67	18.8%	11.2%	3.2%	.295	5.33	10.1%	-4.6%	72	+0.66	4.67	137	78
Noah Denoyer R 2021 · 4.51 FIP	23	SP-	4.51	21.5%	12.1%	3.1%	.275	4.10	25.7%	15.7%	121	-0.41	3.26	181	78
Florencio Serrano R 2021 · 3.84 FIP	21	SP-	3.84	19.3%	8.5%	2.4%	.264	4.80	14.1%	3.4%	117	+0.96	3.84	206	78
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	78
River Ryan R 2022 · 3.69 FIP	23	SP	3.69	26.1%	12.2%	2.3%	.321	3.88	20.3%	9.2%	134	+0.19	2.44	223	78
Michael Knorr R 2023 · 4.30 FIP	23	SP-	4.30	23.6%	11.1%	3.3%	.312	5.15	22.0%	9.5%	123	+0.85	4.30	181	77
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	77
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	77
Mac Sceroler R 2017 · 4.46 FIP	22	SP-	4.46	17.6%	11.8%	2.5%	.318	4.34	18.4%	10.3%	200	-0.12	3.95	275	77
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
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	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
Jimmy Kingsbury R 2021 · 3.76 FIP	22	SP	3.76	21.9%	9.8%	2.3%	.175	4.18	18.0%	7.5%	168	+0.42	3.51	330	76