Tanner Bauman

P Rome Emperors

Age 25 LHP 6'5" / 225 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	23	ANYY	25	7	60	7.91	4.49	19.8%	18.2%	—	K 14.7% · BB 21.4% · FIP 5.42
2026	24	MIX2 levels	33	0	38	4.97	3.10	29.3%	12.1%	—	K 22.9% · BB 13.9% · FIP 4.18
2027PROJ	25	MLBNYY	57	0	60	6.02	6.02	18.2%	20.0%	-1.0
2028PROJ43% MLB	26	MLBNYY	25	0	26	5.84	5.83	18.9%	18.9%	-0.4
2029PROJ63% MLB	27	MLBNYY	35	0	37	5.74	5.75	19.2%	18.2%	-0.5

Next 3 projected WAR -1.8Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control20Command20

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

CompsFabian Williamson (age 26) · Nick Lee (age 25) · Chris Reed (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131139vR 147

ERA6.02

FIP6.02

K%18.2%

BB%20.0%

K-BB%-1.8%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL2020

CMD2020

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 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)
2025	23	A MLE	Tampa Tarpons	25	7	60	303	60	55	3	28%	2.4	14.7%	21.4%	-6.8%	1.5%	7.91	5.42	—
2025	23	A MLE	Tampa Tarpons	25	7	60	303	60	55	3	28%	2.4	14.7%	21.4%	-6.8%	1.5%	7.91	5.42	—
2025	23	A RAW	Tampa Tarpons	25	7	60	303	60	55	3	28%	2.4	19.8%	18.2%	1.7%	1.0%	7.91	4.49	—
2026	24	MIX MLE	2 levels	33	0	38	174	51	21	3	0%	1.2	22.9%	13.9%	8.9%	2.3%	4.97	4.18	—
2026	24	MIX MLE	2 levels	33	0	38	174	51	21	3	0%	1.2	22.9%	13.9%	8.9%	2.3%	4.97	4.18	—
2026	24	MIX RAW	2 levels	33	0	38	174	51	21	3	0%	1.2	29.3%	12.1%	17.2%	1.7%	4.97	3.10	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	NYY	57	0	60	253	46	51	7	0%	1.1	18.2%	20.0%	-1.8%	2.8%	6.02	6.02	-1.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	NYY	57	0	60	251	47	47	7	0%	1.0	18.9%	18.9%	0.0%	2.8%	5.84	5.83	-0.8
2029	27	MLB MLE	NYY	56	0	59	247	48	45	7	0%	1.0	19.2%	18.2%	1.0%	2.9%	5.74	5.75	-0.8
2028	26	MLB CTX	NYY	25	0	26	110	21	21	3	0%	1.0	18.9%	18.9%	0.0%	2.8%	5.84	5.83	-0.4
2029	27	MLB CTX	NYY	35	0	37	156	30	28	5	0%	1.1	19.2%	18.2%	1.0%	2.9%	5.74	5.75	-0.5
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		59	0	62	264	50	49	8	0%	1.1	19.1%	18.5%	0.6%	2.9%	5.78	5.40	-0.6
/ 200 IP	—	RAW		190	0	200	844	160	157	26	0%	1.1	19.1%	18.5%	0.6%	2.9%	5.78	5.40	-2.0
Career	—	MLE		58	7	98	477	84	89	9	12%	1.7	17.6%	18.7%	-1.0%	1.8%	6.77	4.97	-1.7
/ 200 IP	—	MLE		118	14	200	970	171	181	17	12%	1.7	17.6%	18.7%	-1.0%	1.8%	6.77	4.97	-2.9

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
Tanner Bauman (OGILVIE)	—	—	6.02	18.2%	20.0%	2.8%	—	5.79	19.1%	0.5%	118	-0.23	—	—	—
Fabian Williamson L 2015 · 5.31 FIP	26	SU	5.31	17.4%	17.9%	2.6%	.289	4.16	20.0%	8.2%	77	-1.15	3.39	154	90
Nick Lee L 2016 · 4.96 FIP	25	SU	4.96	19.0%	19.7%	1.8%	.286	—	—	—	—	—	3.77	102	87
Chris Reed L 2015 · 4.92 FIP	25	SU	4.92	15.4%	14.5%	2.3%	.284	4.67	16.4%	6.6%	81	-0.25	4.67	137	84
Matt Mikulski L 2024 · 6.18 FIP	25	SU	6.18	15.3%	17.1%	4.0%	.275	4.98	19.5%	-8.3%	18	-1.20	4.92	223	84
Brian Marconi L 2022 · 5.02 FIP	25	SU	5.02	20.3%	18.2%	2.4%	.329	—	—	—	—	—	3.89	101	84
Chris Nunn L 2015 · 5.49 FIP	24	SU	5.49	13.9%	16.8%	2.6%	.350	3.92	19.3%	6.7%	37	-1.57	3.30	180	83
Seth Clark L 2024 · 5.66 FIP	24	SU	5.66	18.9%	16.2%	3.9%	.267	4.56	17.7%	-2.7%	32	-1.10	4.23	128	83
Graeme Stinson L 2023 · 4.85 FIP	25	SU	4.85	19.5%	15.6%	2.6%	.302	—	—	—	—	—	3.56	146	83
Chandler Jozwiak L 2024 · 5.33 FIP	25	SU	5.33	16.9%	15.3%	3.1%	.259	—	—	—	—	—	2.86	161	82
John Kilichowski L 2018 · 4.99 FIP	24	SU	4.99	17.6%	16.2%	2.4%	.336	—	—	—	—	—	4.10	115	82
Ty Madrigal L 2022 · 5.75 FIP	25	SU	5.75	17.6%	15.2%	4.0%	.304	—	—	—	—	—	4.56	107	81
Sean Keselica L 2018 · 5.33 FIP	25	SU	5.33	15.9%	18.5%	2.2%	.226	4.47	18.0%	3.5%	52	-0.86	2.79	235	81
Davis Schwab L 2022 · 5.70 FIP	25	SU	5.70	20.3%	18.7%	3.5%	.352	—	—	—	—	—	4.46	114	81
Nicolo Pinazzi L 2023 · 6.79 FIP	23	SU	6.79	19.3%	26.9%	3.5%	.307	2.58	30.1%	16.3%	62	-4.21	2.58	155	80
Aaron Brown L 2017 · 4.96 FIP	25	SU	4.96	15.0%	17.6%	1.6%	.348	4.38	19.8%	5.2%	127	-0.58	4.04	269	79
Anderson Polanco L 2018 · 5.95 FIP	25	SW	5.95	19.9%	20.9%	3.4%	.298	5.09	18.9%	2.6%	47	-0.86	4.10	316	78
Juan Pichardo L 2021 · 4.83 FIP	23	SU	4.83	17.7%	17.1%	1.9%	.301	—	—	—	—	—	2.13	103	78
R.C. Orlan L 2016 · 5.25 FIP	25	SU	5.25	14.8%	20.2%	1.5%	.243	4.48	18.2%	9.9%	81	-0.77	1.71	206	78
Trevor Seidenberger L 2016 · 6.29 FIP	24	SU	6.29	13.1%	14.9%	4.4%	.309	—	—	—	—	—	4.64	101	77
Mitchell Tyranski L 2023 · 5.14 FIP	25	SU	5.14	20.4%	13.6%	3.7%	.269	4.10	20.7%	6.1%	103	-1.04	3.46	145	76

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	59	18.8%	19.0%	1.10	5.87
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Ron Piche ('60-'66, -3 WAR*)	1.1	44	20.6%*	12.8%*	1.14*	5.06*
Dave Jolly ('53-'57, -0 WAR*)	1.5	58	20.2%*	14.3%*	0.91*	4.33*