Logan Samuels

P Rome Emperors

Age 25 RHP 6'4" / 170 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	AATL	1	1	1	0.00	1.10	20.0%	0.0%	—	K 20.0% · BB 0.0% · FIP 1.41
2025	23	MIX2 levels	28	6	71	4.71	4.57	19.7%	8.9%	—	K 14.9% · BB 10.2% · FIP 6.07
2026	24	A+ATL	35	0	47	6.08	3.08	23.1%	7.1%	—	K 17.8% · BB 8.1% · FIP 3.92
2027PROJ	25	MLBATL	57	0	60	5.42	5.42	14.5%	11.3%	-0.6
2028PROJ43% MLB	26	MLBATL	26	0	27	5.27	5.25	16.1%	11.0%	-0.2
2029PROJ63% MLB	27	MLBATL	37	0	39	5.21	5.21	16.6%	11.0%	-0.3

Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control40Command30

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

CompsJuan Paniagua (age 25) · El'Hajj Muhammad (age 25) · Nick Trogrlic-Iverson (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 136128vR 120

ERA5.42

FIP5.42

K%14.5%

BB%11.3%

K-BB%3.3%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4040

CMD3030

K†3040

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	22	A MLE	Augusta GreenJackets	1	1	1	5	1	0	0	100%	1.0	20.0%	0.0%	20.0%	0.0%	0.00	1.41	—
2024	22	A MLE	Augusta GreenJackets	1	1	1	5	1	0	0	100%	1.0	20.0%	0.0%	20.0%	0.0%	0.00	1.41	—
2024	22	A RAW	Augusta GreenJackets	1	1	1	5	1	0	0	100%	1.0	20.0%	0.0%	20.0%	0.0%	0.00	1.10	—
2025	23	MIX MLE	2 levels	28	6	71	305	60	27	11	21%	2.5	14.9%	10.2%	4.7%	5.3%	4.71	6.07	—
2025	23	MIX MLE	2 levels	28	6	71	305	60	27	11	21%	2.5	14.9%	10.2%	4.7%	5.3%	4.71	6.07	—
2025	23	MIX RAW	2 levels	28	6	71	305	60	27	11	21%	2.5	19.7%	8.9%	10.8%	3.6%	4.71	4.57	—
2026	24	A+ MLE	Rome Emperors	35	0	47	212	49	15	4	0%	1.4	17.8%	8.1%	9.7%	2.4%	6.08	3.92	—
2026	24	A+ MLE	Rome Emperors	35	0	47	212	49	15	4	0%	1.4	17.8%	8.1%	9.7%	2.4%	6.08	3.92	—
2026	24	A+ RAW	Rome Emperors	35	0	47	212	49	15	4	0%	1.4	23.1%	7.1%	16.0%	1.9%	6.08	3.08	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	ATL	57	0	60	253	37	29	8	0%	1.1	14.5%	11.3%	3.3%	3.2%	5.42	5.42	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	ATL	61	0	64	269	43	30	8	0%	1.0	16.1%	11.0%	5.1%	3.1%	5.27	5.25	-0.5
2029	27	MLB MLE	ATL	60	0	63	264	44	29	8	0%	1.0	16.6%	11.0%	5.7%	3.2%	5.21	5.21	-0.5
2028	26	MLB CTX	ATL	26	0	27	114	18	13	4	0%	1.0	16.1%	11.0%	5.1%	3.1%	5.27	5.25	-0.2
2029	27	MLB CTX	ATL	37	0	39	165	27	18	5	0%	1.1	16.6%	11.0%	5.7%	3.2%	5.21	5.21	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		64	0	67	282	46	31	9	0%	1.0	16.4%	11.0%	5.4%	3.2%	5.23	4.85	-0.2
/ 200 IP	—	RAW		190	0	200	844	138	93	27	0%	1.1	16.4%	11.0%	5.4%	3.2%	5.23	4.85	-0.7
Career	—	MLE		64	7	119	522	84	48	21	11%	1.9	16.1%	9.3%	6.9%	4.1%	5.22	5.15	-1.0
/ 200 IP	—	MLE		108	12	200	877	142	81	36	11%	1.9	16.1%	9.3%	6.9%	4.1%	5.22	5.15	-1.6

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
Logan Samuels (OGILVIE)	—	—	5.42	14.5%	11.3%	3.2%	—	5.23	16.4%	5.4%	126	-0.19	—	—	—
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	91
El'Hajj Muhammad R 2016 · 4.58 FIP	25	SU	4.58	13.6%	10.0%	2.5%	.285	5.01	7.1%	-2.5%	11	+0.43	4.58	113	89
Nick Trogrlic-Iverson R 2023 · 4.59 FIP	25	SU	4.59	15.1%	10.4%	2.6%	.301	—	—	—	—	—	3.30	218	88
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	87
Zach Nuding R 2015 · 4.76 FIP	25	SU	4.76	12.5%	10.5%	2.5%	.236	5.03	12.6%	3.3%	106	+0.27	4.76	146	87
Tyler Burch R 2023 · 4.92 FIP	25	SU	4.92	15.0%	12.6%	2.7%	.285	—	—	—	—	—	4.56	119	87
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	87
Jonathan Brand R 2024 · 4.61 FIP	24	SU	4.61	13.6%	10.6%	2.4%	.284	4.87	22.0%	11.9%	115	+0.26	3.34	198	87
Confesor Lara R 2016 · 4.26 FIP	25	SU	4.26	16.4%	11.0%	2.1%	.329	—	—	—	—	—	3.74	111	86
Pedro Echemendia R 2016 · 4.79 FIP	25	SU	4.79	15.0%	8.0%	3.5%	.286	4.31	11.0%	5.9%	72	-0.48	4.31	141	86
Ian Villers R 2024 · 4.55 FIP	23	SU	4.55	13.2%	11.9%	1.9%	.311	4.23	15.6%	5.2%	59	-0.32	4.23	107	86
Dillon McNamara R 2017 · 5.01 FIP	25	SW	5.01	13.3%	11.1%	3.0%	.229	3.00	21.2%	12.3%	69	-2.01	1.73	244	85
Jack Carey R 2024 · 5.32 FIP	24	SU	5.32	15.6%	11.3%	3.8%	.305	4.27	19.6%	5.3%	88	-1.05	3.79	250	85
Vinnie Chulk R 2004 · 4.26 FIP	25	SU	4.26	17.7%	10.5%	2.4%	.308	3.95	16.9%	9.6%	171	-0.31	2.97	271	85
Reece Karalus R 2018 · 4.73 FIP	24	SU	4.73	15.4%	11.9%	2.6%	.299	—	—	—	—	—	4.73	149	85
Rafael Dolis R 2012 · 5.19 FIP	24	SU	5.19	13.9%	12.7%	3.0%	.287	4.02	15.8%	1.5%	66	-1.17	2.80	200	85
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	85
Aaron Northcraft R 2015 · 4.37 FIP	25	SW	4.37	13.6%	10.2%	2.1%	.286	4.19	16.1%	7.8%	91	-0.18	3.32	252	85
Justin Camp R 2018 · 4.56 FIP	25	SU	4.56	13.2%	11.9%	1.9%	.296	—	—	—	—	—	2.59	140	85
Matthew Gorst R 2019 · 4.66 FIP	24	SU	4.66	16.2%	11.3%	2.7%	.254	—	—	—	—	—	3.20	199	84

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	0.9	62	15.8%	11.1%	1.23	5.30
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*