Tanner Andrews — OGILVIE

Tanner Andrews P Buffalo Bisons

Age 30 RHP 6'3" / 220 lbs AAA

2026 ROS PROJECTION47 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 116108vR 99

ERA4.34

FIP4.34

K%21.9%

BB%9.2%

K-BB%12.7%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 49 IP

Grades · Contract

Scouting Grades

K†5050

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 + 2026 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	18.1%	10.7%	7.4%	2.6%	5.74	4.34	—
2023	27	AAA MLE	Sacramento River Cats	27	2	53	243	53	29	6	7%	2.0	18.1%	10.7%	7.4%	2.6%	5.74	4.34	—
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	23.6%	11.5%	12.2%	3.3%	6.95	4.35	—
2024	28	AAA MLE	Sacramento River Cats	38	0	56	267	76	34	8	0%	1.5	23.6%	11.5%	12.2%	3.3%	6.95	4.35	—
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	—
▸ 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
▸ 2026 season
YTD	30	MLB MLE	Toronto Blue Jays	39	0	47	201	49	30	3	0%	1.2	21.0%	13.3%	7.7%	1.7%	1.91	3.96	—
YTD	30	MLB MLE	Toronto Blue Jays	39	0	47	201	49	30	3	0%	1.2	21.0%	13.3%	7.7%	1.7%	1.91	3.96	—
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	TOR	37	0	44	190	48	28	3	0%	1.2	25.3%	14.7%	10.5%	1.6%	2.05	3.70	—
2026	30	MLB RAW	TOR	2	0	3	11	1	2	0	0%	1.5	9.1%	18.2%	-9.1%	0.0%	0.00	4.64	—
SO FAR	30	MLB RAW	TOR	2	0	3	11	1	2	0	0%	1.5	9.1%	18.2%	-9.1%	0.0%	0.00	4.64	—
ROS	30	MLB MLE	TOR	1	0	2	7	1	1	0	0%	1.6	21.9%	9.2%	12.7%	2.8%	4.34	4.34	+0.0
ROS	30	MLB CTX	TOR	2	0	2	8	2	1	0	0%	1.0	21.9%	9.2%	12.7%	2.8%	4.34	4.34	+0.0
2026 TOT	30	MLB MLE	TOR	—	—	49	208	50	31	3	—	—	24.3%	14.7%	9.6%	1.5%	1.99	3.97	+0.3
FULL	30	MLB A+C	TOR	—	—	5	19	50	31	3	—	—	262.1%	159.0%	103.1%	16.6%	21.23	10.20	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	TOR	19	0	20	84	18	8	3	0%	1.1	21.7%	9.6%	12.1%	3.1%	4.46	4.54	+0.0
2027	31	MLB CTX	TOR	18	0	19	80	17	8	2	0%	1.1	21.7%	9.6%	12.1%	3.1%	4.46	4.54	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		22	0	24	98	20	10	3	0%	1.1	20.3%	10.5%	9.8%	2.7%	3.88	4.20	+0.1
/ 200 IP	—	RAW		183	0	200	830	170	85	25	0%	1.1	20.3%	10.5%	9.8%	2.7%	3.88	4.20	+0.8
Career	—	MLE		162	20	328	1410	285	139	32	12%	2.0	20.2%	9.8%	10.4%	2.3%	4.20	3.88	+0.0
/ 200 IP	—	MLE		99	12	200	861	174	85	19	12%	2.0	20.2%	9.8%	10.4%	2.3%	4.20	3.88	+0.1

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)	—	—	4.34	21.9%	9.2%	2.8%	—	4.54	21.7%	12.1%	20	+0.20	—	—	—
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	86
Mark Serrano R 2016 · 3.16 FIP	30	SU	3.16	17.7%	6.5%	1.3%	.290	4.36	21.1%	14.0%	88	+1.20	3.16	120	81
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	81
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	80
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	80
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	79
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	79
Brian Schlitter R 2016 · 3.28 FIP	30	SU	3.28	20.6%	10.8%	1.0%	.333	3.81	14.4%	6.6%	110	+0.53	3.28	244	78
Carlos Fisher R 2015 · 3.45 FIP	32	SU	3.45	22.6%	11.6%	1.4%	.236	3.17	22.5%	11.1%	91	-0.28	2.48	147	78
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	78
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	78
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	77
Chris Martin R 2015 · 3.24 FIP	29	SU	3.24	18.1%	7.0%	1.4%	.319	3.04	20.9%	19.2%	42	-0.20	1.76	416	77
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	77
Erik Davis R 2017 · 4.25 FIP	30	SU	4.25	22.2%	11.1%	3.0%	.349	3.52	17.4%	8.5%	65	-0.73	3.05	227	77
Javy Guerra R 2016 · 4.29 FIP	30	SU	4.29	21.3%	13.9%	2.3%	.303	3.95	19.5%	13.0%	193	-0.34	2.95	260	76
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	76
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	75
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	75
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	75