Adam Bloebaum

P Fredericksburg Nationals

Age 26 LHP 6'6" / 225 lbs A peak 0.1 · 2027

Overview

APROSPECT

MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	20	25	2.16	1.90	35.6%	5.8%	—	K 19.2% · BB 8.0% · FIP 4.52
2025	24	MIX2 levels	22	27	0.67	1.88	34.7%	7.9%	—	K 27.5% · BB 8.4% · FIP 1.85
2027PROJ	26	MLBWSH	11	12	4.17	4.17	24.1%	8.8%	0.1
2028PROJ36% MLB	27	MLBWSH	9	9	4.21	4.22	24.0%	8.9%	0.0

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

Contract

No contract data on file.

CompsMike Zagurski (age 24) · Wayne Franklin (age 26) · Jackson Lancaster (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 96104vR 112

ERA4.17

FIP4.17

K%24.1%

BB%8.8%

K-BB%15.3%

Proj IP12

Value2027 · WAR

Runs saved vs league avg · 12 IP

Grades · Contract

Scouting Grades

K†6060

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	23	MIX MLE	2 levels	20	0	25	104	37	6	2	0%	1.2	19.2%	8.0%	11.2%	3.7%	2.16	4.52	—
2024	23	MIX MLE	2 levels	20	0	25	104	37	6	2	0%	1.2	19.2%	8.0%	11.2%	3.7%	2.16	4.52	—
2024	23	MIX RAW	2 levels	20	0	25	104	37	6	2	0%	1.2	35.6%	5.8%	29.8%	1.9%	2.16	1.90	—
2025	24	MIX MLE	2 levels	22	0	27	101	35	8	1	0%	1.2	27.5%	8.4%	19.1%	0.0%	0.67	1.85	—
2025	24	MIX MLE	2 levels	22	0	27	101	35	8	1	0%	1.2	27.5%	8.4%	19.1%	0.0%	0.67	1.85	—
2025	24	MIX RAW	2 levels	22	0	27	101	35	8	1	0%	1.2	34.7%	7.9%	26.7%	1.0%	0.67	1.88	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	WSH	11	0	12	51	12	4	1	0%	1.1	24.1%	8.8%	15.3%	2.9%	4.17	4.17	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	WSH	23	0	24	101	24	9	3	0%	1.0	24.0%	8.9%	15.1%	3.0%	4.21	4.22	+0.1
2028	27	MLB CTX	WSH	9	0	9	38	9	3	1	0%	1.0	24.0%	8.9%	15.1%	3.0%	4.21	4.22	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		8	0	9	37	9	3	1	0%	1.1	24.0%	8.9%	15.1%	3.0%	4.21	3.84	+0.1
/ 200 IP	—	RAW		190	0	200	844	207	69	23	0%	1.1	24.0%	8.9%	15.1%	3.0%	4.21	3.84	+1.7
Career	—	MLE		42	0	52	205	48	17	4	0%	1.2	23.3%	8.2%	15.1%	1.9%	1.38	3.20	+0.1
/ 200 IP	—	MLE		162	0	200	788	183	65	15	0%	1.2	23.3%	8.2%	15.1%	1.9%	1.38	3.20	+0.8

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
Adam Bloebaum (OGILVIE)	—	—	4.17	24.1%	8.8%	2.9%	—	4.22	24.0%	15.1%	24	+0.05	—	—	—
Mike Zagurski L 2007 · 4.10 FIP	24	SU	4.10	20.8%	8.9%	3.0%	.324	—	—	—	—	—	2.94	120	85
Wayne Franklin L 2000 · 3.80 FIP	26	SU	3.80	20.4%	10.7%	1.9%	.319	5.53	13.7%	2.4%	231	+1.73	3.80	315	82
Jackson Lancaster L 2024 · 4.48 FIP	25	SU	4.48	24.0%	11.1%	3.6%	.355	5.36	18.3%	4.9%	93	+0.88	4.15	142	82
Scott Elbert L 2012 · 3.59 FIP	26	SU	3.59	21.8%	9.0%	2.2%	.270	2.83	22.5%	9.7%	19	-0.76	2.32	105	81
Damaso Marte L 2001 · 3.48 FIP	26	SU	3.48	25.3%	5.8%	3.2%	.287	3.09	26.5%	17.9%	214	-0.39	2.41	495	81
Greg Nappo L 2015 · 3.37 FIP	26	SU	3.37	22.7%	7.5%	2.2%	.267	5.25	16.5%	5.9%	79	+1.88	3.37	144	81
Nick Hagadone L 2012 · 4.74 FIP	26	SU	4.74	22.4%	12.9%	3.5%	.310	3.88	24.6%	14.7%	82	-0.86	2.97	141	80
Adam Liberatore L 2015 · 3.64 FIP	28	SU	3.64	21.1%	7.3%	2.5%	.267	3.17	23.3%	15.2%	73	-0.47	2.38	124	80
Kevin Chapman L 2014 · 4.63 FIP	26	SU	4.63	19.6%	11.3%	3.2%	.297	3.30	22.3%	12.4%	137	-1.33	3.01	194	80
Joey Marciano L 2021 · 3.65 FIP	26	SU	3.65	24.9%	9.2%	2.7%	.301	4.61	20.3%	5.5%	102	+0.96	3.65	330	80
Jeff Malm L 2016 · 3.13 FIP	25	SU	3.13	22.0%	7.2%	1.8%	.354	—	—	—	—	—	3.13	101	80
Tony Watson L 2011 · 4.52 FIP	26	SU	4.52	21.3%	9.2%	3.7%	.243	2.98	23.5%	17.6%	202	-1.54	2.21	648	79
Michael Johnson L 2017 · 4.20 FIP	26	SU	4.20	21.7%	9.5%	3.1%	.272	5.19	13.4%	3.4%	67	+0.99	3.92	256	79
Dario Alvarez L 2015 · 3.47 FIP	26	SU	3.47	26.0%	13.1%	1.7%	.260	3.64	27.7%	17.1%	129	+0.17	3.47	160	79
Hector Mercado L 2000 · 4.79 FIP	26	SU	4.79	21.7%	13.3%	3.3%	.270	4.22	22.9%	10.0%	111	-0.57	3.47	125	79
Elvis Araujo L 2016 · 4.09 FIP	25	SU	4.09	21.0%	9.8%	2.8%	.308	5.18	22.9%	11.1%	38	+1.09	2.46	120	79
Aaron Fultz L 2000 · 4.00 FIP	26	SU	4.00	20.7%	9.4%	2.7%	.294	3.88	19.4%	12.5%	180	-0.12	3.46	480	78
Justin King L 2024 · 3.26 FIP	26	SU	3.26	29.5%	11.8%	2.1%	.346	4.16	22.4%	3.6%	65	+0.90	3.26	133	78
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	78
Giovanni Soto L 2017 · 4.18 FIP	26	SU	4.18	25.6%	10.5%	3.5%	.317	—	—	—	—	—	3.30	128	78