Jake Eddington

P Jersey Shore BlueClaws

Age 26 RHP 6'2" / 185 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX3 levels	25	3	41	3.54	4.08	25.9%	19.7%	—	K 18.8% · BB 24.1% · FIP 5.02
2025	24	MIX2 levels	32	0	57	4.92	4.11	21.5%	15.0%	—	K 16.3% · BB 17.4% · FIP 4.95
2026	25	A+PHI	39	0	49	4.62	3.88	21.9%	16.4%	—	K 16.9% · BB 18.9% · FIP 4.70
2027PROJ	26	MLBPHI	—	—	0	5.62	5.62	18.1%	17.6%	—
2028PROJ37% MLB	27	MLBPHI	12	0	13	5.51	5.53	18.6%	16.9%	-0.1
2029PROJ59% MLB	28	MLBPHI	17	0	18	5.48	5.52	18.9%	16.4%	-0.2

Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsHaden Erbe (age 25) · Luis García (age 26) · Jake Gilbert (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.62

FIP5.62

K%18.1%

BB%17.6%

K-BB%0.5%

Proj IP29

Value2027 · WAR

Runs saved vs league avg · 29 IP

Grades · Contract

Scouting Grades

K†4545

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 the standard WAR scale.

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	23	MIX MLE	3 levels	25	3	41	193	50	38	2	12%	1.6	18.8%	24.1%	-5.3%	0.8%	3.54	5.02	—
2024	23	MIX MLE	3 levels	25	3	41	193	50	38	2	12%	1.6	18.8%	24.1%	-5.3%	0.8%	3.54	5.02	—
2024	23	MIX RAW	3 levels	25	3	41	193	50	38	2	12%	1.6	25.9%	19.7%	6.2%	1.0%	3.54	4.08	—
2025	24	MIX MLE	2 levels	32	0	57	260	56	39	4	0%	1.8	16.3%	17.4%	-1.1%	1.8%	4.92	4.95	—
2025	24	MIX MLE	2 levels	32	0	57	260	56	39	4	0%	1.8	16.3%	17.4%	-1.1%	1.8%	4.92	4.95	—
2025	24	MIX RAW	2 levels	32	0	57	260	56	39	4	0%	1.8	21.5%	15.0%	6.5%	1.5%	4.92	4.11	—
2026	25	A+ MLE	Jersey Shore BlueClaws	39	0	49	219	48	36	2	0%	1.2	16.9%	18.9%	-2.0%	1.1%	4.62	4.70	—
2026	25	A+ MLE	Jersey Shore BlueClaws	39	0	49	219	48	36	2	0%	1.2	16.9%	18.9%	-2.0%	1.1%	4.62	4.70	—
2026	25	A+ RAW	Jersey Shore BlueClaws	39	0	49	219	48	36	2	0%	1.2	21.9%	16.4%	5.5%	0.9%	4.62	3.88	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	PHI	—	—	0	—	—	—	—	—	—	18.1%	17.6%	0.5%	2.6%	5.62	5.62	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	PHI	34	0	36	152	28	26	4	0%	1.1	18.6%	16.9%	1.8%	2.7%	5.51	5.53	-0.4
2029	28	MLB MLE	PHI	28	0	30	126	24	21	4	0%	1.1	18.9%	16.4%	2.4%	2.8%	5.48	5.52	-0.3
2028	27	MLB CTX	PHI	12	0	13	55	10	9	1	0%	1.1	18.6%	16.9%	1.8%	2.7%	5.51	5.53	-0.1
2029	28	MLB CTX	PHI	17	0	18	76	14	13	2	0%	1.1	18.9%	16.4%	2.4%	2.8%	5.48	5.52	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		29	0	31	130	24	22	4	0%	1.1	18.8%	16.6%	2.1%	2.8%	5.49	5.14	-0.2
/ 200 IP	—	RAW		190	0	200	844	156	143	26	0%	1.1	18.8%	16.6%	2.1%	2.8%	5.49	5.14	-1.4
Career	—	MLE		96	3	146	672	116	133	9	3%	1.5	17.2%	19.8%	-2.6%	1.3%	4.44	4.89	-0.7
/ 200 IP	—	MLE		132	4	200	921	158	183	12	3%	1.5	17.2%	19.8%	-2.6%	1.3%	4.44	4.89	-2.3

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Jersey Shore BlueClaws · 49 IPFIP 3.83 → 4.70 (+0.86)K% 21.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.92%	—	×0.770	16.88%
BB% (unintentional) /BF	16.44%	—	×1.150	18.90%
HR / BF /BF	0.91%	÷1.000	×1.250	1.14%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 3.83 → 4.70, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 A+Jersey Shore BlueClaws · 29 IPFIP 3.62 → 4.44 (+0.82)K% 22.5% → 17.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.46%	—	×0.770	17.30%
BB% (unintentional) /BF	15.94%	—	×1.150	18.33%
HR / BF /BF	0.72%	÷1.045	×1.250	0.87%

Result: FIP 3.62 → 4.44, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 AClearwater Threshers · 28 IPFIP 4.48 → 5.52 (+1.04)K% 20.5% → 15.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.49%	—	×0.740	15.16%
BB% (unintentional) /BF	13.93%	—	×1.180	16.44%
HR / BF /BF	2.46%	÷1.083	×1.300	2.95%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 117).

Result: FIP 4.48 → 5.52, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 AClearwater Threshers · 30 IPFIP 3.93 → 5.02 (+1.09)K% 25.4% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.35%	—	×0.740	18.76%
BB% (unintentional) /BF	20.42%	—	×1.180	24.10%
HR / BF /BF	0.70%	÷1.115	×1.300	0.82%

Result: FIP 3.93 → 5.02, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKFCL Phillies · 6 IPFIP 4.91 → 7.26 (+2.35)K% 28.6% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.680	19.43%
BB% (unintentional) /BF	17.86%	—	×1.250	22.32%
HR / BF /BF	3.57%	÷0.924	×1.400	5.41%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 85).

Result: FIP 4.91 → 7.26, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 A+Jersey Shore BlueClaws · 5 IPFIP 3.10 → 3.94 (+0.84)K% 26.1% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.09%	—	×0.770	20.09%
BB% (unintentional) /BF	17.39%	—	×1.150	20.00%
HR / BF /BF	0.00%	÷0.926	×1.250	0.00%

Result: FIP 3.10 → 3.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Jake Eddington (OGILVIE)	—	—	5.62	18.1%	17.6%	2.6%	—	5.53	18.7%	2.1%	66	-0.09	—	—	—
Haden Erbe R 2024 · 5.28 FIP	25	SU	5.28	18.4%	16.5%	3.0%	.320	5.19	17.8%	0.5%	40	-0.09	5.19	116	88
Luis García R 2013 · 4.92 FIP	26	SU	4.92	16.7%	16.7%	2.0%	.270	3.68	20.3%	9.3%	151	-1.24	2.33	662	87
Jake Gilbert R 2022 · 4.65 FIP	25	SU	4.65	18.2%	16.2%	1.9%	.331	—	—	—	—	—	4.14	103	85
Trey Haley R 2016 · 4.98 FIP	26	SU	4.98	14.0%	16.5%	1.8%	.282	—	—	—	—	—	3.14	111	84
Gregory Infante R 2015 · 4.54 FIP	28	SU	4.54	16.9%	15.7%	1.6%	.290	3.78	21.3%	12.7%	181	-0.76	2.97	230	83
Christian Ruebeck R 2024 · 6.03 FIP	23	SU	6.03	20.6%	24.4%	2.9%	.265	4.57	21.6%	1.9%	70	-1.46	4.35	104	83
Cody Scroggins R 2022 · 4.50 FIP	25	SU	4.50	20.5%	16.2%	2.0%	.351	3.78	14.2%	4.6%	18	-0.72	3.78	108	83
Mitchell Osnowitz R 2017 · 5.30 FIP	26	SU	5.30	16.5%	18.7%	2.2%	.366	5.43	19.2%	7.7%	42	+0.13	4.54	132	83
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	82
Juan Paniagua R 2016 · 4.57 FIP	26	SU	4.57	17.7%	14.7%	2.0%	.246	4.75	12.9%	-1.0%	29	+0.18	4.57	151	82
Tyler Davis R 2024 · 6.02 FIP	25	SU	6.02	21.0%	18.8%	4.2%	.317	3.78	21.9%	10.2%	111	-2.24	3.20	137	81
Andrew Schultz R 2023 · 4.87 FIP	26	SU	4.87	18.9%	18.1%	1.9%	.311	3.86	23.3%	7.7%	84	-1.01	3.56	176	81
Cre Finfrock R 2022 · 6.31 FIP	26	SU	6.31	16.7%	25.2%	2.6%	.309	—	—	—	—	—	4.27	103	81
Julian Arballo R 2015 · 5.13 FIP	27	SU	5.13	15.1%	13.8%	2.8%	.335	4.46	12.6%	0.6%	116	-0.67	4.45	214	81
Manuel Alvarez R 2022 · 5.02 FIP	26	SU	5.02	20.3%	17.1%	2.7%	.330	6.63	11.8%	-14.8%	12	+1.61	4.58	154	81
Lukas Schiraldi R 2018 · 5.00 FIP	25	SU	5.00	18.7%	19.3%	1.9%	.276	—	—	—	—	—	3.56	319	81
Jacob Morris R 2016 · 4.77 FIP	25	SU	4.77	18.7%	21.1%	1.0%	.236	—	—	—	—	—	4.77	102	80
Connor Cooke R 2024 · 5.02 FIP	24	SU	5.02	17.4%	17.0%	2.2%	.253	—	—	—	—	—	2.93	103	80
Yaramil Hiraldo R 2021 · 4.86 FIP	25	SU	4.86	18.5%	15.5%	2.5%	.270	—	—	—	—	—	2.88	155	80
Harrison Cooney R 2018 · 6.60 FIP	26	SU	6.60	18.8%	21.9%	4.2%	.237	—	—	—	—	—	4.65	186	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.5	32	18.6%	17.0%	1.05	5.53
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
John Parrish ('10)	1.4	46	17.6%	14.8%	0.88	4.51
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*