Tanner Andrews

P Buffalo Bisons

Age 31 RHP 6'3" / 220 lbs AAA

Overview

AAARPROOKIE

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	AAASF	38	56	6.95	4.07	28.5%	12.7%	—	K 24.5% · BB 11.5% · FIP 4.28
2025	29	AAMIN	14	17	3.78	1.48	24.0%	4.0%	—	K 19.4% · BB 4.4% · FIP 2.02
2026	30	MIX2 levels	39	47	1.91	3.76	24.4%	14.9%	0.4	K 21.7% · BB 13.3% · FIP 3.90
2027PROJ	31	MLBTOR	19	20	4.48	4.48	22.2%	11.4%	0.0
2028PROJ37% MLB	32	MLBTOR	7	7	4.60	4.69	21.8%	11.6%	-0.0

Last 3 seasons WAR 0.4 · Next 2 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

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

CompsJim Miller (age 30) · Joe Nelson (age 31) · Dustin Molleken (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118110vR 102

ERA4.48

FIP4.48

K%22.2%

BB%11.4%

K-BB%10.8%

Proj IP20

Value2027 · WAR

Runs saved vs league avg · 20 IP

Grades · Contract

Scouting Grades

K†5555

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)
2018	22	ROK MLE	GCL Marlins	1	0	1	5	0	0	0	0%	1.0	0.0%	0.0%	0.0%	0.0%	0.00	3.10	—
2018	22	ROK RAW	GCL Marlins	1	0	1	5	0	0	0	0%	1.0	0.0%	0.0%	0.0%	0.0%	0.00	3.10	—
2019	23	MIX MLE	2 levels	23	18	129	523	110	38	7	78%	5.6	15.7%	8.4%	7.3%	1.6%	3.50	3.73	—
2019	23	MIX RAW	2 levels	23	18	129	523	110	38	7	78%	5.6	21.0%	7.3%	13.8%	1.3%	3.50	2.98	—
2021	25	AA MLE	Pensacola Blue Wahoos	4	0	6	24	9	1	3	0%	1.4	37.5%	4.2%	33.3%	12.5%	11.12	7.32	—
2021	25	AA RAW	Pensacola Blue Wahoos	4	0	6	24	9	1	3	0%	1.4	37.5%	4.2%	33.3%	12.5%	11.12	7.34	—
2022	26	MIX MLE	4 levels	16	0	20	72	30	7	2	0%	1.2	41.7%	9.7%	31.9%	2.8%	0.92	2.34	—
2022	26	MIX RAW	4 levels	16	0	20	72	30	7	2	0%	1.2	41.7%	9.7%	31.9%	2.8%	0.92	2.44	—
2023	27	AAA MLE	Sacramento River Cats	27	2	53	243	53	29	6	7%	2.0	18.8%	10.7%	8.0%	2.6%	5.74	4.29	—
2023	27	AAA RAW	Sacramento River Cats	27	2	53	243	53	29	6	7%	2.0	21.8%	11.9%	9.9%	2.5%	5.74	4.21	—
2024	28	AAA MLE	Sacramento River Cats	38	0	56	267	76	34	8	0%	1.5	24.5%	11.5%	13.0%	3.3%	6.95	4.28	—
2024	28	AAA MLE	Sacramento River Cats	38	0	56	267	76	34	8	0%	1.5	24.5%	11.5%	13.0%	3.3%	6.95	4.28	—
2024	28	AAA RAW	Sacramento River Cats	38	0	56	267	76	34	8	0%	1.5	28.5%	12.7%	15.7%	3.0%	6.95	4.07	—
2025	29	AA MLE	Wichita Wind Surge	14	0	17	75	18	3	0	0%	1.2	19.4%	4.4%	15.0%	0.0%	3.78	2.02	—
2025	29	AA MLE	Wichita Wind Surge	14	0	17	75	18	3	0	0%	1.2	19.4%	4.4%	15.0%	0.0%	3.78	2.02	—
2025	29	AA RAW	Wichita Wind Surge	14	0	17	75	18	3	0	0%	1.2	24.0%	4.0%	20.0%	0.0%	3.78	1.48	—
2026	30	MIX MLE	2 levels	39	0	47	201	49	30	3	0%	1.2	21.7%	13.3%	8.5%	1.7%	1.91	3.90	+0.4
2026	30	MIX MLE	2 levels	39	0	47	201	49	30	3	0%	1.2	21.7%	13.3%	8.5%	1.7%	1.91	3.90	+0.4
2026	30	MIX RAW	2 levels	39	0	47	201	49	30	3	0%	1.2	24.4%	14.9%	9.5%	1.5%	1.91	3.76	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			2	0	3	11	1	2	0	0%	1.5	9.1%	18.2%	-9.1%	0.0%	0.00	4.43	+0.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	TOR	19	0	20	84	19	10	2	0%	1.1	22.2%	11.4%	10.8%	2.6%	4.48	4.48	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	TOR	19	0	20	84	18	10	2	0%	1.1	21.8%	11.6%	10.3%	2.9%	4.60	4.69	-0.0
2028	32	MLB CTX	TOR	7	0	7	30	6	3	1	0%	1.0	21.8%	11.6%	10.3%	2.9%	4.60	4.69	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	8	6	1	0%	1.2	18.5%	13.3%	5.2%	2.1%	3.27	4.39	+0.0
/ 200 IP	—	RAW		174	0	200	812	155	116	19	0%	1.1	18.5%	13.3%	5.2%	2.1%	3.27	4.39	+0.4
Career	—	MLE		162	20	328	1410	290	139	32	12%	2.0	20.6%	9.8%	10.7%	2.3%	4.20	3.85	-0.0
/ 200 IP	—	MLE		99	12	200	861	177	85	19	12%	2.0	20.6%	9.8%	10.7%	2.3%	4.20	3.85	-0.2

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 Andrews (OGILVIE)	—	—	4.48	22.2%	11.4%	2.6%	—	4.69	21.8%	10.3%	20	+0.21	—	—	—
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	81
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	79
Dustin Molleken R 2016 · 4.04 FIP	31	SU	4.04	19.6%	12.1%	1.9%	.276	3.38	24.3%	11.9%	16	-0.66	3.38	129	77
Neil Wagner R 2016 · 4.05 FIP	32	SU	4.05	19.8%	12.3%	1.9%	.360	3.11	20.7%	12.1%	54	-0.94	3.11	135	77
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	76
Scott Atchison R 2007 · 4.55 FIP	31	SU	4.55	19.1%	7.6%	3.8%	.297	4.59	16.2%	9.5%	60	+0.04	2.52	340	73
Miguel Mejia R 2019 · 4.41 FIP	31	SU	4.41	15.7%	10.7%	2.3%	.341	—	—	—	—	—	3.37	108	73
Jeff Fulchino R 2011 · 4.44 FIP	31	SU	4.44	20.4%	11.1%	3.0%	.302	—	—	—	—	—	3.36	178	73
Jason Urquidez R 2015 · 3.59 FIP	32	SU	3.59	15.6%	9.3%	1.1%	.386	1.81	25.5%	20.7%	90	-1.78	1.25	123	72
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	72
Jon Edwards R 2019 · 4.43 FIP	31	SU	4.43	25.1%	11.6%	3.6%	.290	—	—	—	—	—	2.40	132	71
Chris Hatcher R 2016 · 4.61 FIP	31	SU	4.61	23.8%	9.4%	4.2%	.283	4.69	22.0%	13.8%	96	+0.08	2.51	246	71
Manny Acosta R 2012 · 4.49 FIP	31	SU	4.49	21.3%	11.1%	3.2%	.295	—	—	—	—	—	3.08	350	71
Jose Manuel Lopez R 2016 · 3.50 FIP	31	SU	3.50	16.4%	8.4%	1.3%	.308	4.77	19.3%	7.3%	90	+1.27	3.50	170	71
Mike Buddie R 2002 · 4.26 FIP	31	SU	4.26	15.1%	7.6%	2.7%	.297	—	—	—	—	—	3.76	123	71
Al Reyes R 2001 · 4.12 FIP	31	SU	4.12	19.2%	10.0%	2.5%	.305	3.40	21.8%	11.1%	34	-0.72	2.60	411	70
David Carpenter R 2016 · 4.49 FIP	31	SU	4.49	21.4%	12.8%	2.9%	.333	3.89	21.5%	11.9%	49	-0.60	2.66	275	70
Erik Davis R 2018 · 3.52 FIP	31	SU	3.52	17.4%	8.9%	1.4%	.317	—	—	—	—	—	3.05	227	70
Dalier Hinojosa R 2016 · 4.30 FIP	30	SU	4.30	18.7%	12.6%	2.2%	.329	—	—	—	—	—	3.41	104	70
Jason Bulger R 2010 · 4.36 FIP	31	SU	4.36	22.5%	13.5%	2.6%	.324	—	—	—	—	—	3.78	106	70