Jeffrey German

P DSL Phillies White

Age 22 RHP 6'3" / 175 lbs ROK peak 0.3 · 2028

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	18	ROKDSL Phillies …	9	8	39	4.19	2.63	17.0%	7.5%	—	K 11.5% · BB 9.4% · FIP 3.32
2024	19	ROKDSL Phillies …	13	7	39	4.38	3.31	20.0%	12.4%	—	K 13.6% · BB 15.5% · FIP 4.43
2027PROJ	22	MLBPHI	5	5	23	4.71	4.71	22.3%	11.7%	0.1
2028PROJ49% MLB	23	MLBPHI	2	2	12	4.56	4.48	23.2%	10.6%	0.1

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

Contract

No contract data on file.

CompsChad Donato (age 22) · Ryan Atkinson (age 23) · Noah Denoyer (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 106

ERA4.71

FIP4.71

K%22.3%

BB%11.7%

K-BB%10.6%

Proj IP23

Value2027 · WAR

Runs saved vs league avg · 23 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)
2022	17	ROK MLE	DSL Phillies Red	11	10	46	185	46	21	1	91%	4.2	16.9%	14.2%	2.7%	0.6%	2.17	3.82	—
2022	17	ROK RAW	DSL Phillies Red	11	10	46	185	46	21	1	91%	4.2	24.9%	11.4%	13.5%	0.5%	2.17	2.75	—
2023	18	ROK MLE	DSL Phillies Red	9	8	39	159	27	12	0	89%	4.3	11.5%	9.4%	2.1%	0.0%	4.19	3.32	—
2023	18	ROK RAW	DSL Phillies Red	9	8	39	159	27	12	0	89%	4.3	17.0%	7.5%	9.4%	0.0%	4.19	2.63	—
2024	19	ROK MLE	DSL Phillies White	13	7	39	185	37	23	1	54%	3.0	13.6%	15.5%	-1.9%	0.9%	4.38	4.43	—
2024	19	ROK MLE	DSL Phillies White	13	7	39	185	37	23	1	54%	3.0	13.6%	15.5%	-1.9%	0.9%	4.38	4.43	—
2024	19	ROK RAW	DSL Phillies White	13	7	39	185	37	23	1	54%	3.0	20.0%	12.4%	7.6%	0.5%	4.38	3.31	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	PHI	5	5	23	97	22	11	3	100%	4.6	22.3%	11.7%	10.6%	3.0%	4.71	4.71	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	PHI	5	5	24	102	24	11	3	100%	4.8	23.2%	10.6%	12.6%	2.9%	4.56	4.48	+0.1
2028	23	MLB CTX	PHI	2	2	12	51	12	5	1	100%	6.0	23.2%	10.6%	12.6%	2.9%	4.56	4.48	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		2	2	12	50	12	5	1	100%	5.9	23.2%	10.6%	12.6%	2.9%	4.56	4.10	+0.1
/ 200 IP	—	RAW		37	37	200	844	203	84	17	100%	5.3	23.2%	10.6%	12.6%	2.9%	4.56	4.10	+1.9
Career	—	MLE		33	25	123	529	75	70	3	76%	3.7	14.1%	13.2%	0.9%	0.5%	3.50	3.88	+0.1
/ 200 IP	—	MLE		54	41	200	858	121	114	5	76%	3.7	14.1%	13.2%	0.9%	0.5%	3.50	3.88	+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
Jeffrey German (OGILVIE)	—	—	4.71	22.3%	11.7%	3.0%	—	4.48	23.2%	12.6%	24	-0.23	—	—	—
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	88
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	87
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	87
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	86
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	83
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	82
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	82
Angel Guzman R 2006 · 4.73 FIP	24	SP-	4.73	22.1%	13.2%	3.3%	.353	3.88	19.6%	12.0%	91	-0.85	3.13	147	81
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	81
Christian Roa R 2021 · 4.94 FIP	22	SP	4.94	19.6%	12.4%	3.5%	.321	4.90	22.5%	6.9%	260	-0.04	4.14	414	81
Rubby De La Rosa R 2011 · 3.75 FIP	22	SP-	3.75	23.6%	11.0%	2.3%	.300	4.27	16.2%	8.8%	113	+0.52	3.75	455	81
Rafael Montero R 2014 · 5.04 FIP	23	SP-	5.04	21.6%	11.9%	4.1%	.298	4.32	19.3%	8.2%	296	-0.72	2.43	714	80
Tim Redding R 2001 · 4.88 FIP	23	SP-	4.88	22.1%	9.6%	4.4%	.321	4.34	15.1%	6.6%	350	-0.54	3.97	822	80
Ricky Castro R 2024 · 3.99 FIP	24	SP-	3.99	20.4%	8.6%	2.8%	.287	5.11	19.0%	10.6%	178	+1.12	3.99	241	79
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	79
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	79
Daniel Corcino R 2014 · 4.37 FIP	23	SP-	4.37	18.8%	12.5%	2.3%	.208	4.14	19.6%	10.0%	76	-0.23	3.84	318	79
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	79
Jared Karros R 2023 · 4.77 FIP	22	SP	4.77	19.0%	8.9%	3.9%	.290	5.26	17.8%	8.3%	120	+0.49	3.36	191	79
Pat Gallagher R 2023 · 3.83 FIP	23	SP-	3.83	21.9%	8.3%	2.8%	.284	3.42	20.6%	11.4%	217	-0.41	3.07	280	79