JR Fordham

P Palm Beach Cardinals

Age 23 RHP A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	22	ASTL	9	12	6.75	4.43	19.7%	14.8%	—	K 14.6% · BB 17.4% · FIP 5.25
2027PROJ	23	MLBSTL	7	7	5.13	5.13	20.5%	13.8%	-0.0
2028PROJ43% MLB	24	MLBSTL	9	9	4.92	4.84	21.4%	12.3%	-0.0

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 0, comp-based) · star 0% · didn't stick 98%

CompsKasey Ford (age 23) · Easton Sikorski (age 23) · Brandyn Sittinger (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131122vR 114

ERA5.13

FIP5.13

K%20.5%

BB%13.8%

K-BB%6.7%

Proj IP7

Value2027 · WAR

Runs saved vs league avg · 7 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 + 2027 so far)
2026	22	A MLE	Palm Beach Cardinals	9	0	12	61	12	9	1	0%	1.3	14.6%	17.4%	-2.9%	2.1%	6.75	5.25	—
2026	22	A MLE	Palm Beach Cardinals	9	0	12	61	12	9	1	0%	1.3	14.6%	17.4%	-2.9%	2.1%	6.75	5.25	—
2026	22	A RAW	Palm Beach Cardinals	9	0	12	61	12	9	1	0%	1.3	19.7%	14.8%	4.9%	1.6%	6.75	4.43	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	STL	7	0	7	30	6	4	1	0%	1.0	20.5%	13.8%	6.7%	3.0%	5.13	5.13	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	STL	19	0	20	84	18	10	2	0%	1.1	21.4%	12.3%	9.1%	2.9%	4.92	4.84	-0.1
2028	24	MLB CTX	STL	9	0	9	38	8	5	1	0%	1.0	21.4%	12.3%	9.1%	2.9%	4.92	4.84	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	36	8	4	1	0%	1.1	21.4%	12.3%	9.1%	2.9%	4.92	4.46	+0.0
/ 200 IP	—	RAW		190	0	200	844	187	94	23	0%	1.1	21.4%	12.3%	9.1%	2.9%	4.92	4.46	+0.2
Career	—	MLE		9	0	12	61	9	11	1	0%	1.3	14.6%	17.4%	-2.9%	2.1%	6.75	5.25	-0.1
/ 200 IP	—	MLE		150	0	200	1017	148	177	22	0%	1.3	14.6%	17.4%	-2.9%	2.1%	6.75	5.25	-0.7

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
JR Fordham (OGILVIE)	—	—	5.13	20.5%	13.8%	3.0%	—	4.84	21.4%	9.1%	20	-0.29	—	—	—
Kasey Ford R 2021 · 4.89 FIP	23	SU	4.89	20.3%	14.5%	3.0%	.310	4.26	21.9%	5.8%	98	-0.63	2.53	114	95
Easton Sikorski R 2023 · 4.85 FIP	23	SU	4.85	20.9%	14.1%	3.1%	.254	4.62	17.5%	6.3%	154	-0.23	4.23	183	90
Brandyn Sittinger R 2017 · 4.37 FIP	23	SU	4.37	22.2%	13.8%	2.5%	.324	3.97	21.2%	7.2%	72	-0.40	3.58	152	89
Sean Isaac R 2016 · 4.27 FIP	23	SU	4.27	19.5%	12.3%	2.3%	.342	3.76	25.0%	10.7%	128	-0.51	3.27	155	88
Francisco Del Rosario R 2006 · 5.13 FIP	25	SU	5.13	19.4%	13.0%	3.7%	.290	3.93	19.7%	10.3%	26	-1.20	3.93	194	87
Zack Hess R 2019 · 5.00 FIP	22	SU	5.00	18.1%	13.1%	3.2%	.232	5.47	22.9%	6.3%	50	+0.47	5.00	101	87
Cole Gordon R 2019 · 4.09 FIP	23	SU	4.09	22.0%	12.7%	2.3%	.243	5.19	20.9%	9.5%	83	+1.10	4.09	112	87
Carson Hobbs R 2024 · 5.63 FIP	22	SU	5.63	18.9%	13.6%	4.4%	.303	3.97	22.0%	10.4%	118	-1.66	3.54	143	87
Morgan McSweeney R 2021 · 5.36 FIP	23	SU	5.36	21.9%	16.3%	3.7%	.295	5.15	18.5%	5.3%	93	-0.21	3.20	213	86
David Ellingson R 2018 · 4.15 FIP	23	SU	4.15	20.5%	14.6%	1.7%	.362	3.52	18.0%	10.2%	105	-0.63	3.43	150	86
Jason Ruffcorn R 2021 · 4.74 FIP	23	SU	4.74	16.6%	14.2%	2.3%	.297	4.69	17.6%	4.2%	136	-0.05	4.01	283	86
Grayson Thurman R 2023 · 4.63 FIP	24	SU	4.63	19.5%	14.1%	2.5%	.319	4.85	19.9%	10.5%	87	+0.22	4.58	132	86
Junior Rincon R 2015 · 4.93 FIP	23	SU	4.93	17.8%	13.8%	2.9%	.318	3.75	17.6%	5.1%	82	-1.18	3.52	113	86
Harrison Cohen R 2023 · 4.56 FIP	24	SU	4.56	22.4%	13.4%	3.0%	.282	4.18	22.3%	9.0%	119	-0.38	2.12	165	85
Samuel Carpio R 2024 · 4.20 FIP	21	SU	4.20	21.2%	15.3%	1.7%	.300	5.36	21.6%	-3.4%	112	+1.16	4.20	134	85
Michael Hobbs R 2022 · 4.54 FIP	23	SU	4.54	17.3%	12.9%	2.3%	.232	4.48	20.1%	3.9%	158	-0.06	4.14	184	85
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	85
Vince Arobio R 2018 · 4.47 FIP	23	SU	4.47	20.5%	12.0%	2.9%	.365	3.67	24.1%	16.2%	55	-0.80	3.67	118	85
Nolan Sparks R 2024 · 4.10 FIP	21	SU	4.10	21.8%	13.5%	2.1%	.229	4.72	19.3%	5.3%	140	+0.62	4.10	155	85
Davison Palermo R 2023 · 4.32 FIP	23	SU	4.32	19.0%	12.4%	2.3%	.246	4.99	19.0%	6.9%	176	+0.67	4.32	220	84