Tanner Banks

P Philadelphia Phillies

Age 35 LHP 6'1" / 205 lbs MLB peak 0.2 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	32	MLBPHI	63	2	72	3.98	2.98	25.1%	7.4%	1.4
2025	33	MLBPHI	69	1	67	3.07	3.52	22.8%	4.1%	0.8
2026	34	MIX2 levels	41	1	50	5.26	3.95	25.3%	7.9%	0.4	K 24.1% · BB 7.7% · FIP 3.83
2027PROJ	35	MLBPHI	39	0	41	4.12	4.18	22.4%	7.1%	0.2
2028PROJ91% MLB	36	MLBPHI	22	0	23	4.38	4.55	21.4%	7.7%	0.0

Last 3 seasons WAR 2.5 · Next 2 projected WAR 0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

xwOBA vs47

K%46

FB Velo15

CompsRaul Valdes (age 35) · Hisanori Takahashi (age 35) · Juan Pablo Perez (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 95103vR 111

ERA4.12

FIP4.18

K%22.4%

BB%7.1%

K-BB%15.3%

Proj IP41

Value2027 · WAR

Runs saved vs league avg · 41 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1592.0

Whiff%

p3222.8%

p4621.6%

xwOBA vs

p470.315

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 the standard WAR scale.

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)
2015	23	MIX MLE	2 levels	22	14	86	351	43	9	3	64%	3.9	8.4%	3.1%	5.3%	1.2%	2.71	3.44	—
2015	23	MIX RAW	2 levels	22	14	86	351	43	9	3	64%	3.9	12.3%	2.6%	9.7%	0.9%	2.71	2.87	—
2016	24	MIX MLE	2 levels	27	27	159	658	116	31	10	100%	5.9	13.3%	5.5%	7.9%	1.9%	3.50	3.69	—
2016	24	MIX RAW	2 levels	27	27	159	658	116	31	10	100%	5.9	17.6%	4.7%	12.9%	1.5%	3.50	3.04	—
2017	25	MIX MLE	2 levels	26	25	141	603	113	37	10	96%	5.4	14.7%	6.9%	7.8%	2.1%	4.28	3.89	—
2017	25	MIX RAW	2 levels	26	25	141	603	113	37	10	96%	5.4	18.7%	6.1%	12.6%	1.7%	4.28	3.21	—
2018	26	MIX MLE	2 levels	23	23	146	594	100	31	8	100%	6.3	13.3%	5.9%	7.4%	1.7%	2.59	3.65	—
2018	26	MIX RAW	2 levels	23	23	146	594	100	31	8	100%	6.3	16.8%	5.2%	11.6%	1.3%	2.59	3.08	—
2019	27	MIX MLE	2 levels	30	21	127	529	88	22	12	70%	4.2	13.4%	4.5%	8.9%	2.8%	4.19	4.09	—
2019	27	MIX RAW	2 levels	30	21	127	529	88	22	12	70%	4.2	16.6%	4.2%	12.5%	2.3%	4.19	3.46	—
2021	29	AAA MLE	Charlotte Knights	25	5	60	257	70	13	10	20%	2.4	24.0%	5.3%	18.7%	3.6%	4.53	3.72	—
2021	29	AAA RAW	Charlotte Knights	25	5	60	257	70	13	10	20%	2.4	27.2%	5.1%	22.2%	3.9%	4.53	3.59	—
2022	30	MIX MLE	2 levels	44	2	70	290	73	23	6	5%	1.6	24.2%	8.0%	16.2%	2.0%	2.96	3.15	+1.2
2022	30	MIX RAW	2 levels	44	2	70	290	73	23	6	5%	1.6	25.2%	7.9%	17.2%	2.1%	2.96	3.11	+1.2
2023	31	MIX MLE	2 levels	45	3	84	349	81	18	13	7%	1.9	22.0%	5.1%	16.9%	3.6%	4.07	3.88	+0.7
2023	31	MIX RAW	2 levels	45	3	84	349	81	18	13	7%	1.9	23.2%	5.2%	18.1%	3.7%	4.07	3.83	+0.7
2024	32	MLB MLE	Philadelphia Phillies	63	2	72	311	78	23	6	3%	1.1	25.1%	7.4%	17.7%	1.8%	3.98	2.91	+1.4
2024	32	MLB MLE	Philadelphia Phillies	63	2	72	311	78	23	6	3%	1.1	25.1%	7.4%	17.7%	1.8%	3.98	2.91	+1.4
2024	32	MLB RAW	Philadelphia Phillies	63	2	72	311	78	23	6	3%	1.1	25.1%	7.4%	17.7%	1.9%	3.98	2.98	+1.4
2025	33	MLB MLE	Philadelphia Phillies	69	1	67	267	61	11	9	1%	1.0	22.8%	4.1%	18.7%	3.1%	3.07	3.42	+0.9
2025	33	MLB MLE	Philadelphia Phillies	69	1	67	267	61	11	9	1%	1.0	22.8%	4.1%	18.7%	3.1%	3.07	3.42	+0.9
2025	33	MLB RAW	Philadelphia Phillies	69	1	67	267	61	11	9	1%	1.0	22.8%	4.1%	18.7%	3.4%	3.07	3.52	+0.8
2026	34	MIX MLE	2 levels	41	1	50	229	58	18	8	2%	1.2	24.1%	7.7%	16.4%	3.3%	5.26	3.83	+0.4
2026	34	MIX MLE	2 levels	41	1	50	229	58	18	8	2%	1.2	24.1%	7.7%	16.4%	3.3%	5.26	3.83	+0.4
2026	34	MIX RAW	2 levels	41	1	50	229	58	18	8	2%	1.2	25.3%	7.9%	17.5%	3.5%	5.26	3.95	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			231	7	290	1226	277	81	38	3%	1.3	22.6%	6.6%	16.0%	3.1%	3.97	3.73	+2.8
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	PHI	39	0	41	173	39	12	5	0%	1.1	22.4%	7.1%	15.3%	3.1%	4.12	4.18	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	PHI	24	0	25	105	22	8	4	0%	1.0	21.4%	7.7%	13.7%	3.5%	4.38	4.55	0.0
2028	36	MLB CTX	PHI	22	0	23	97	21	7	3	0%	1.0	21.4%	7.7%	13.7%	3.5%	4.38	4.55	0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		253	7	313	1322	297	88	41	3%	1.2	22.5%	6.7%	15.8%	3.1%	4.00	3.76	+2.9
/ 200 IP	—	RAW		162	4	200	845	190	56	26	3%	1.2	22.5%	6.7%	15.8%	3.1%	4.00	3.76	+1.9
Career	—	MLE		415	124	1062	4438	758	254	103	30%	2.6	17.1%	5.7%	11.4%	2.3%	3.65	3.66	+2.8
/ 200 IP	—	MLE		78	23	200	836	143	48	19	30%	2.6	17.1%	5.7%	11.4%	2.3%	3.65	3.66	+1.8

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 AAALehigh Valley IronPigs · 13 IPFIP 0.87 → 1.22 (+0.35)K% 37.7% → 32.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.74%	—	×0.860	32.45%
BB% (unintentional) /BF	7.55%	—	×0.900	6.79%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 0.87 → 1.22, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 AAACharlotte Knights · 23 IPFIP 2.56 → 2.82 (+0.26)K% 31.9% → 27.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.91%	—	×0.860	27.45%
BB% (unintentional) /BF	3.19%	—	×0.900	2.87%
HR / BF /BF	3.19%	÷1.152	×1.100	3.05%

Result: FIP 2.56 → 2.82, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2022 AAACharlotte Knights · 17 IPFIP 1.94 → 2.15 (+0.21)K% 32.9% → 28.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.88%	—	×0.880	28.93%
BB% (unintentional) /BF	6.85%	—	×1.050	7.19%
HR / BF /BF	1.37%	÷1.421	×1.100	1.06%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, HR ×1.10. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 184).

Result: FIP 1.94 → 2.15, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2021 AAACharlotte Knights · 60 IPFIP 3.58 → 3.72 (+0.15)K% 27.2% → 24.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.24%	—	×0.880	23.97%
BB% (unintentional) /BF	5.06%	—	×1.050	5.31%
HR / BF /BF	3.89%	÷1.190	×1.100	3.60%

Result: FIP 3.58 → 3.72, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2019 AABirmingham Barons · 123 IPFIP 3.50 → 4.09 (+0.58)K% 16.5% → 13.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.54%	—	×0.810	13.39%
BB% (unintentional) /BF	4.09%	—	×1.100	4.49%
HR / BF /BF	2.33%	÷0.993	×1.200	2.82%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 99).

Result: FIP 3.50 → 4.09, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2018 A+Winston-Salem Dash · 85 IPFIP 2.79 → 3.31 (+0.51)K% 16.2% → 12.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.23%	—	×0.770	12.50%
BB% (unintentional) /BF	4.64%	—	×1.150	5.33%
HR / BF /BF	0.87%	÷1.014	×1.250	1.07%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 103).

Result: FIP 2.79 → 3.31, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2018 AABirmingham Barons · 61 IPFIP 3.47 → 4.12 (+0.65)K% 17.7% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.67%	—	×0.810	14.31%
BB% (unintentional) /BF	6.02%	—	×1.100	6.63%
HR / BF /BF	2.01%	÷0.949	×1.200	2.54%

Result: FIP 3.47 → 4.12, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2017 A+Winston-Salem Dash · 86 IPFIP 2.43 → 2.94 (+0.51)K% 20.7% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.75%	—	×0.770	15.98%
BB% (unintentional) /BF	6.05%	—	×1.150	6.96%
HR / BF /BF	0.58%	÷1.275	×1.250	0.56%

Result: FIP 2.43 → 2.94, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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 Banks (OGILVIE)	—	—	—	—	—	3.1%	—	4.55	21.4%	13.7%	25	+0.37	—	—	—
Raul Valdes L 2013 · 4.07 FIP	35	SU	4.07	24.3%	5.3%	4.3%	.350	—	—	—	—	—	2.29	160	72
Hisanori Takahashi L 2010 · 3.50 FIP	35	SW	3.50	22.1%	7.0%	2.5%	.292	3.81	21.1%	15.0%	118	+0.31	3.50	240	63
Juan Pablo Perez L 2013 · 3.68 FIP	34	SU	3.68	25.2%	11.5%	2.3%	.250	3.68	26.5%	11.2%	51	-0.00	1.75	104	59
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	58
Hideki Okajima L 2010 · 4.27 FIP	34	SU	4.27	15.5%	7.0%	2.9%	.333	—	—	—	—	—	3.05	238	58
Brian Shouse L 2004 · 3.47 FIP	35	SU	3.47	18.5%	8.2%	1.6%	.250	3.57	14.8%	8.9%	139	+0.10	2.32	339	58
Brooks Raley L 2023 · 3.03 FIP	35	SU	3.03	25.8%	9.3%	1.7%	.268	3.00	23.6%	15.9%	78	-0.03	1.74	294	55
Clay Rapada L 2015 · 3.84 FIP	34	SU	3.84	14.3%	8.0%	1.7%	.299	—	—	—	—	—	3.00	120	52
John Bale L 2009 · 4.31 FIP	35	SU	4.31	17.6%	11.8%	2.2%	.333	—	—	—	—	—	2.49	168	52
Brandon Mann L 2018 · 3.59 FIP	34	SU	3.59	17.8%	11.4%	1.0%	.232	—	—	—	—	—	3.59	190	52
Tim Byrdak L 2009 · 5.07 FIP	35	SU	5.07	22.2%	13.8%	3.8%	.185	3.48	23.8%	13.5%	107	-1.59	2.85	320	48
Mike Zagurski L 2018 · 3.12 FIP	35	SU	3.12	30.4%	9.3%	2.6%	.330	—	—	—	—	—	2.94	120	45
Luke Westphal L 2024 · 5.19 FIP	35	SW	5.19	15.7%	16.4%	2.4%	.299	—	—	—	—	—	2.97	294	42
Scott Rice L 2015 · 3.67 FIP	33	SU	3.67	22.9%	17.2%	0.6%	.266	—	—	—	—	—	3.10	104	40
Kwang Hyun Kim L 2021 · 4.21 FIP	33	SP-	4.21	17.7%	8.2%	2.9%	.266	—	—	—	—	—	3.76	146	39
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	2.16	306	38
Juan Antonio Pena L 2015 · 4.20 FIP	37	SP-	4.20	13.6%	9.9%	1.8%	.287	—	—	—	—	—	4.20	149	35
Brendan Donnelly R 2006 · 4.21 FIP	35	SU	4.21	19.1%	9.0%	2.9%	.260	3.19	18.6%	10.1%	60	-1.02	2.23	385	33
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	31
Fernando Rodriguez Jr. R 2019 · 5.11 FIP	35	SW	5.11	25.0%	11.2%	4.9%	.312	—	—	—	—	—	3.34	335	31

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 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	1.8	51	22.5%	7.1%	1.21	4.02
Nick Wittgren ('23)	1.6	41	21.6%	7.0%	1.15	4.04
Junichi Tazawa ('18)	2.0	49	22.2%	6.5%	1.12	4.12
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Tim Crews ('87-'92, 3 WAR*)	2.1	71	20.8%*	6.2%*	1.09*	4.11*
Bob Patterson ('85-'98, 4 WAR*)	3.1	51	23.0%*	6.7%*	1.32*	4.33*
Jay Ritchie ('64-'68, 2 WAR*)	1.5	58	21.1%*	8.0%*	1.01*	4.21*