Jake Eder

P Oklahoma City Comets

Age 28 LHP 6'4" / 225 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	25	24	111	6.57	4.24	24.2%	11.6%	1.5	K 20.1% · BB 11.7% · FIP 4.84
2025	26	MIX3 levels	24	16	89	6.09	4.95	19.5%	7.1%	0.5	K 17.4% · BB 6.7% · FIP 5.33
2026	27	MIX2 levels	22	1	25	3.96	3.38	20.2%	11.5%	0.3	K 19.3% · BB 11.1% · FIP 3.56
2027PROJ	28	MLBLAD	7	7	40	4.66	4.94	17.5%	8.5%	0.2
2028PROJ79% MLB	29	MLBLAD	6	6	33	4.87	5.04	17.5%	8.8%	0.1
2029PROJ84% MLB	30	MLBLAD	5	5	29	5.04	5.19	17.2%	9.2%	0.1

Last 3 seasons WAR 2.3 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control60Command50

Career WAR0.0 WAR median (P10 -0.0 / P90 0.1, comp-based) · star 0% · didn't stick 98%

CompsRoy Merritt (age 30) · Brad Mills (age 29) · Marco Tovar (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 111119vR 127

ERA4.66

FIP4.94

K%17.5%

BB%8.5%

K-BB%8.9%

Proj IP56

Value2027 · WAR

Runs saved vs league avg · 56 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL6060

CMD5050

K†4040

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)
2021	22	AA MLE	Pensacola Blue Wahoos	15	15	71	287	99	27	3	100%	4.8	27.9%	10.3%	17.6%	1.2%	1.77	2.73	—
2021	22	AA RAW	Pensacola Blue Wahoos	15	15	71	287	99	27	3	100%	4.8	34.5%	9.4%	25.1%	1.0%	1.77	2.01	—
2023	24	MIX MLE	2 levels	14	14	57	267	70	36	7	100%	4.0	22.1%	15.5%	6.6%	3.8%	6.35	5.27	—
2023	24	MIX RAW	2 levels	14	14	57	267	70	36	7	100%	4.0	26.2%	13.5%	12.7%	2.6%	6.35	4.14	—
2024	25	MIX MLE	3 levels	25	24	111	509	123	59	15	96%	4.4	20.1%	11.7%	8.4%	3.6%	6.57	4.84	+0.7
2024	25	MIX MLE	3 levels	25	24	111	509	123	59	15	96%	4.4	20.1%	11.7%	8.4%	3.6%	6.57	4.84	+0.7
2024	25	MIX RAW	3 levels	25	24	111	509	123	59	15	96%	4.4	24.2%	11.6%	12.6%	2.9%	6.57	4.24	+1.5
2025	26	MIX MLE	3 levels	24	16	89	395	77	28	18	67%	3.7	17.4%	6.7%	10.7%	5.2%	6.09	5.33	+0.1
2025	26	MIX MLE	3 levels	24	16	89	395	77	28	18	67%	3.7	17.4%	6.7%	10.7%	5.2%	6.09	5.33	+0.1
2025	26	MIX RAW	3 levels	24	16	89	395	77	28	18	67%	3.7	19.5%	7.1%	12.4%	4.6%	6.09	4.95	+0.5
2026	27	MIX MLE	2 levels	22	1	25	104	21	12	1	5%	1.1	19.3%	11.1%	8.2%	1.2%	3.96	3.56	+0.3
2026	27	MIX MLE	2 levels	22	1	25	104	21	12	1	5%	1.1	19.3%	11.1%	8.2%	1.2%	3.96	3.56	+0.3
2026	27	MIX RAW	2 levels	22	1	25	104	21	12	1	5%	1.1	20.2%	11.5%	8.7%	1.0%	3.96	3.38	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			13	0	24	102	17	10	3	0%	1.9	16.7%	9.8%	6.9%	2.9%	4.44	4.54	+0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	LAD	7	7	40	169	29	14	6	100%	5.7	17.5%	8.5%	8.9%	3.4%	4.66	4.94	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	LAD	7	7	42	179	31	16	6	100%	6.0	17.5%	8.8%	8.6%	3.5%	4.87	5.04	+0.2
2029	30	MLB MLE	LAD	6	6	35	147	25	13	5	100%	5.8	17.2%	9.2%	8.1%	3.7%	5.04	5.19	+0.1
2028	29	MLB CTX	LAD	6	6	33	139	24	12	5	100%	5.5	17.5%	8.8%	8.6%	3.5%	4.87	5.04	+0.1
2029	30	MLB CTX	LAD	5	5	29	122	21	11	4	100%	5.8	17.2%	9.2%	8.1%	3.7%	5.04	5.19	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		23	10	87	366	63	34	12	43%	3.8	17.2%	9.2%	8.0%	3.4%	4.81	4.68	-0.1
/ 200 IP	—	RAW		54	24	200	843	145	78	28	45%	3.7	17.2%	9.2%	8.0%	3.4%	4.81	4.68	-0.3
Career	—	MLE		100	70	353	1562	331	169	54	70%	3.5	21.2%	10.8%	10.4%	3.4%	5.26	4.57	+0.5
/ 200 IP	—	MLE		57	40	200	886	187	96	30	70%	3.5	21.2%	10.8%	10.4%	3.4%	5.26	4.57	+1.0

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 AAAOklahoma City Comets · 21 IPFIP 3.38 → 3.56 (+0.17)K% 22.5% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.47%	—	×0.860	19.33%
BB% (unintentional) /BF	12.36%	—	×0.900	11.12%
HR / BF /BF	1.12%	÷1.000	×1.100	1.24%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 3.38 → 3.56, 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 AAARochester Red Wings · 68 IPFIP 4.92 → 5.46 (+0.54)K% 19.7% → 17.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.74%	—	×0.860	16.98%
BB% (unintentional) /BF	6.47%	—	×0.900	5.83%
HR / BF /BF	4.85%	÷0.960	×1.100	5.56%

Result: FIP 4.92 → 5.46, 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 AABirmingham Barons · 74 IPFIP 3.42 → 4.33 (+0.91)K% 25.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.90%	—	×0.810	20.98%
BB% (unintentional) /BF	9.34%	—	×1.100	10.27%
HR / BF /BF	2.41%	÷0.935	×1.200	3.09%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 87).

Result: FIP 3.42 → 4.33, 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 AAACharlotte Knights · 35 IPFIP 5.61 → 5.85 (+0.24)K% 21.4% → 18.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.43%	—	×0.860	18.43%
BB% (unintentional) /BF	16.07%	—	×0.900	14.46%
HR / BF /BF	4.17%	÷1.016	×1.100	4.51%

Result: FIP 5.61 → 5.85, 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).

2023 AABirmingham Barons · 47 IPFIP 4.33 → 5.27 (+0.94)K% 27.3% → 22.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.810	22.09%
BB% (unintentional) /BF	14.09%	—	×1.100	15.50%
HR / BF /BF	3.18%	÷1.013	×1.200	3.77%

Result: FIP 4.33 → 5.27, 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).

2023 AJupiter Hammerheads · 10 IPFIP 2.65 → 3.36 (+0.71)K% 21.3% → 15.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.28%	—	×0.740	15.74%
BB% (unintentional) /BF	10.64%	—	×1.180	12.55%
HR / BF /BF	0.00%	÷0.924	×1.300	0.00%

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 85).

Result: FIP 2.65 → 3.36, 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).

2021 AAPensacola Blue Wahoos · 71 IPFIP 1.95 → 2.73 (+0.78)K% 34.5% → 27.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.49%	—	×0.810	27.94%
BB% (unintentional) /BF	9.41%	—	×1.100	10.35%
HR / BF /BF	1.05%	÷1.011	×1.200	1.24%

Result: FIP 1.95 → 2.73, 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 Eder (OGILVIE)	—	—	4.94	17.5%	8.5%	3.4%	—	5.11	17.4%	8.4%	77	+0.17	—	—	—
Roy Merritt L 2016 · 3.93 FIP	30	SP-	3.93	13.3%	5.9%	2.2%	.293	3.95	16.2%	10.4%	116	+0.02	3.93	129	74
Brad Mills L 2014 · 5.61 FIP	29	SP-	5.61	18.8%	10.9%	5.0%	.364	5.00	14.5%	4.0%	182	-0.61	4.22	243	70
Marco Tovar L 2017 · 5.04 FIP	28	SP-	5.04	16.1%	11.3%	3.4%	.317	4.78	12.6%	7.0%	82	-0.26	3.78	327	64
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	63
Matt Tracy L 2017 · 4.82 FIP	28	SP-	4.82	16.1%	9.4%	3.5%	.325	3.24	13.9%	3.5%	49	-1.58	3.24	298	62
Manny Banuelos L 2019 · 5.89 FIP	28	SP-	5.89	18.7%	12.8%	5.0%	.322	2.95	22.9%	12.0%	72	-2.94	2.95	486	62
Chris Reed L 2016 · 4.67 FIP	26	SW	4.67	16.4%	9.8%	3.1%	.238	—	—	—	—	—	4.67	137	61
Houston Harding L 2024 · 4.54 FIP	26	SP-	4.54	16.5%	11.2%	2.6%	.268	5.19	12.0%	0.5%	61	+0.65	3.41	239	61
Onelki Garcia L 2017 · 4.02 FIP	27	SP-	4.02	16.5%	9.3%	2.1%	.328	—	—	—	—	—	2.99	164	61
Miguel Pena L 2019 · 5.08 FIP	28	SW	5.08	16.0%	7.0%	4.4%	.369	—	—	—	—	—	2.98	282	60
Ethan Evanko L 2022 · 6.13 FIP	27	SW	6.13	17.4%	5.1%	7.0%	.364	—	—	—	—	—	3.61	113	60
Enrique Lechuga L 2015 · 4.70 FIP	29	SP-	4.70	10.0%	10.5%	2.0%	.354	3.78	10.5%	4.4%	59	-0.92	3.78	137	60
John Parke L 2023 · 4.35 FIP	28	SP-	4.35	15.5%	10.1%	2.3%	.371	—	—	—	—	—	3.22	655	60
Carlos Teller L 2015 · 3.75 FIP	28	SP-	3.75	13.8%	10.9%	0.8%	.329	4.75	13.3%	3.1%	187	+1.00	3.75	333	60
Steven Moyers L 2022 · 5.24 FIP	28	SW	5.24	14.7%	8.1%	4.3%	.371	—	—	—	—	—	3.52	464	59
Matt Lujan L 2017 · 4.69 FIP	28	SP-	4.69	14.3%	6.4%	3.6%	.348	—	—	—	—	—	4.06	227	59
Tyler Alexander L 2019 · 5.56 FIP	27	SP-	5.56	21.7%	9.8%	5.6%	.289	5.27	15.7%	5.0%	26	-0.29	5.27	128	59
Alex Troop L 2024 · 5.10 FIP	28	SW	5.10	17.3%	6.8%	4.7%	.285	—	—	—	—	—	2.93	379	58
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	58
Austin Warner L 2022 · 4.78 FIP	28	SW	4.78	16.9%	9.0%	3.6%	.319	—	—	—	—	—	3.81	491	58

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	0.8	53	17.3%	9.1%	1.32	4.77
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*