Taijuan Walker

P Philadelphia Phillies

Age 34 RHP 6'4" / 235 lbs MLB

Overview

MLBSP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	31	MIX4 levels	24	20	106	6.43	5.96	14.7%	9.2%	-1.2	K 15.2% · BB 9.7% · FIP 6.27
2025	32	MLBPHI	34	21	124	4.08	4.94	16.0%	7.8%	-0.1
2026	33	MIX3 levels	10	9	44	6.60	5.99	14.2%	8.8%	-0.5	K 12.4% · BB 9.2% · FIP 6.19
2027PROJ	34	MLBPHI	13	13	79	5.47	5.61	14.2%	8.7%	-0.6
2028PROJ	35	MLBPHI	12	12	71	5.93	6.12	13.3%	9.2%	-0.8
2029PROJ	36	MLBPHI	10	10	63	6.28	6.50	12.3%	9.8%	-1.0

Last 3 seasons WAR -1.8 · Next 3 projected WAR -2.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo14

Whiff%10

K%10

xwOBA vs10

CompsAustin Bibens-Dirkx (age 34) · Walter Silva (age 32) · Sergio Valenzuela (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 123

ERA5.47

FIP5.61

K%14.2%

BB%8.7%

K-BB%5.6%

Proj IP79

Value2027 · WAR

Runs saved vs league avg · 79 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†3030

Statcast Percentiles

FB Velo

p1491.9

Whiff%

p1016.8%

p1014.8%

xwOBA vs

p100.411

SL+0.6 (12%)

SI (23%)

CU (13%)

CT-3.6 (20%)

FB-7.1 (33%)

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)
2013	20	MLB MLE	Seattle Mariners	3	3	15	60	12	4	0	100%	5.0	20.0%	6.7%	13.3%	0.0%	3.60	2.26	+0.5
2013	20	MLB RAW	Seattle Mariners	3	3	15	60	12	4	0	100%	5.0	20.0%	6.7%	13.3%	0.0%	3.60	2.30	+0.5
2014	21	MLB MLE	Seattle Mariners	8	5	38	160	34	17	2	62%	4.8	21.2%	10.6%	10.6%	1.3%	2.61	3.36	+0.7
2014	21	MLB RAW	Seattle Mariners	8	5	38	160	34	17	2	62%	4.8	21.2%	10.6%	10.6%	1.2%	2.61	3.34	+0.7
2015	22	MLB MLE	Seattle Mariners	29	29	170	706	157	39	25	100%	5.9	22.2%	5.5%	16.7%	3.6%	4.56	3.92	+2.0
2015	22	MLB RAW	Seattle Mariners	29	29	170	706	157	39	25	100%	5.9	22.2%	5.5%	16.7%	3.5%	4.56	3.85	+2.1
2016	23	MIX MLE	2 levels	28	28	149	639	125	43	28	100%	5.3	19.4%	6.8%	12.7%	4.5%	4.16	4.80	+0.2
2016	23	MIX RAW	2 levels	28	28	149	639	125	43	28	100%	5.3	19.6%	6.7%	12.8%	4.4%	4.16	4.73	+0.3
2017	24	MLB MLE	Arizona Diamondbacks	28	28	157	684	146	54	17	100%	5.6	21.3%	7.9%	13.5%	2.5%	3.49	3.65	+2.4
2017	24	MLB RAW	Arizona Diamondbacks	28	28	157	684	146	54	17	100%	5.6	21.3%	7.9%	13.5%	2.5%	3.49	3.68	+2.3
2018	25	MLB MLE	Arizona Diamondbacks	3	3	13	56	9	5	1	100%	4.3	16.1%	8.9%	7.1%	1.9%	3.46	3.91	+0.2
2018	25	MLB RAW	Arizona Diamondbacks	3	3	13	56	9	5	1	100%	4.3	16.1%	8.9%	7.1%	1.8%	3.46	3.87	+0.2
2019	26	MLB MLE	Arizona Diamondbacks	1	1	1	4	1	0	0	100%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	0.99	+0.0
2019	26	MLB RAW	Arizona Diamondbacks	1	1	1	4	1	0	0	100%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	1.10	+0.0
2020	27	MLB MLE	Toronto Blue Jays	11	11	53	225	50	19	8	100%	4.8	22.2%	8.4%	13.8%	3.6%	2.70	4.24	+0.4
2020	27	MLB RAW	Toronto Blue Jays	11	11	53	225	50	19	8	100%	4.8	22.2%	8.4%	13.8%	3.6%	2.70	4.24	+0.4
2021	28	MLB MLE	New York Mets	30	29	159	654	146	55	26	97%	5.3	22.3%	8.4%	13.9%	4.0%	4.47	4.47	+0.8
2021	28	MLB RAW	New York Mets	30	29	159	654	146	55	26	97%	5.3	22.3%	8.4%	13.9%	4.0%	4.47	4.43	+0.9
2022	29	MLB MLE	New York Mets	29	29	157	649	132	44	15	100%	5.4	20.3%	6.8%	13.6%	2.3%	3.49	3.51	+2.7
2022	29	MLB RAW	New York Mets	29	29	157	649	132	44	15	100%	5.4	20.3%	6.8%	13.6%	2.3%	3.49	3.50	+2.7
2023	30	MLB MLE	Philadelphia Phillies	31	31	173	733	138	70	20	100%	5.6	18.8%	9.5%	9.3%	2.5%	4.38	4.12	+1.6
2023	30	MLB RAW	Philadelphia Phillies	31	31	173	733	138	70	20	100%	5.6	18.8%	9.5%	9.3%	2.7%	4.38	4.22	+1.4
2024	31	MIX MLE	4 levels	24	20	106	476	70	44	24	83%	4.4	15.2%	9.7%	5.5%	5.9%	6.43	6.27	-1.6
2024	31	MIX MLE	4 levels	24	20	106	476	70	44	24	83%	4.4	15.2%	9.7%	5.5%	5.9%	6.43	6.27	-1.6
2024	31	MIX RAW	4 levels	24	20	106	476	70	44	24	83%	4.4	14.7%	9.2%	5.5%	5.0%	6.43	5.96	-1.2
2025	32	MLB MLE	Philadelphia Phillies	34	21	124	538	86	42	21	62%	3.6	16.0%	7.8%	8.2%	3.6%	4.08	4.74	+0.2
2025	32	MLB MLE	Philadelphia Phillies	34	21	124	538	86	42	21	62%	3.6	16.0%	7.8%	8.2%	3.6%	4.08	4.74	+0.2
2025	32	MLB RAW	Philadelphia Phillies	34	21	124	538	86	42	21	62%	3.6	16.0%	7.8%	8.2%	3.9%	4.08	4.94	-0.1
2026	33	MIX MLE	3 levels	10	9	44	204	29	18	10	90%	4.4	12.4%	9.2%	3.2%	5.4%	6.60	6.19	-0.6
2026	33	MIX MLE	3 levels	10	9	44	204	29	18	10	90%	4.4	12.4%	9.2%	3.2%	5.4%	6.60	6.19	-0.6
2026	33	MIX RAW	3 levels	10	9	44	204	29	18	10	90%	4.4	14.2%	8.8%	5.4%	4.9%	6.60	5.99	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			256	234	1301	5538	1105	432	194	91%	5.1	20.0%	7.8%	12.2%	3.5%	4.27	4.34	+8.6
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	34	MLB	PHI	13	13	79	334	48	29	14	100%	6.1	14.2%	8.7%	5.6%	4.1%	5.47	5.61	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	35	MLB MLE	PHI	12	12	71	299	40	28	13	100%	5.9	13.3%	9.2%	4.1%	4.4%	5.75	5.94	-0.8
2029	36	MLB MLE	PHI	10	10	63	265	32	26	13	100%	6.3	12.3%	9.8%	2.4%	4.8%	6.09	6.31	-0.9
2028	35	MLB CTX	PHI	12	12	71	300	40	28	14	100%	5.9	13.3%	9.2%	4.1%	4.7%	5.93	6.12	-0.8
2029	36	MLB CTX	PHI	10	10	63	266	33	26	14	100%	6.3	12.3%	9.8%	2.4%	5.1%	6.28	6.50	-1.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		278	256	1434	6102	1177	486	222	92%	5.2	19.3%	8.0%	11.3%	3.6%	4.44	4.47	+7.1
/ 200 IP	—	RAW		39	36	200	851	164	68	31	92%	5.2	19.3%	8.0%	11.3%	3.6%	4.44	4.47	+1.0
Career	—	MLE		269	247	1359	5788	1133	457	201	92%	5.1	19.6%	7.9%	11.7%	3.5%	4.25	4.35	+6.6
/ 200 IP	—	MLE		40	36	200	852	167	67	30	92%	5.1	19.6%	7.9%	11.7%	3.5%	4.25	4.35	+0.9

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
Taijuan Walker (OGILVIE)	—	—	5.61	14.2%	8.7%	4.1%	—	6.11	12.8%	3.3%	134	+0.50	—	—	—
Austin Bibens-Dirkx R 2019 · 6.58 FIP	34	SP	6.58	16.3%	8.8%	6.8%	.319	4.20	15.8%	10.2%	109	-2.38	3.97	567	68
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	63
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	62
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	61
Jason Simontacchi R 2007 · 4.96 FIP	33	SP	4.96	13.0%	5.9%	4.0%	.331	—	—	—	—	—	4.79	356	60
Guillermo Moscoso R 2018 · 5.07 FIP	34	SP-	5.07	18.2%	8.4%	4.5%	.318	4.35	12.6%	5.9%	104	-0.72	3.56	486	58
J.D. Martin R 2016 · 4.85 FIP	33	SP	4.85	9.4%	11.0%	2.1%	.302	5.42	12.2%	-0.2%	249	+0.57	4.79	414	58
Rolando Valdez R 2019 · 5.36 FIP	33	SP-	5.36	11.7%	7.6%	4.2%	.360	—	—	—	—	—	3.06	258	57
Jesse Estrada R 2017 · 5.39 FIP	33	SP	5.39	8.3%	5.6%	4.2%	.285	4.34	14.4%	7.8%	85	-1.05	3.80	257	55
Cesar Carrillo R 2017 · 4.97 FIP	33	SP	4.97	12.0%	11.9%	2.5%	.320	6.22	11.0%	1.8%	66	+1.25	4.14	336	55
Francisco Cordova R 2016 · 4.59 FIP	32	SP	4.59	7.1%	7.7%	2.0%	.300	—	—	—	—	—	4.59	115	54
Francisco Rodriguez R 2017 · 4.43 FIP	34	SP	4.43	11.4%	8.2%	2.3%	.305	5.18	10.7%	1.4%	83	+0.75	3.16	334	53
Marco Carrillo R 2019 · 6.08 FIP	32	SP	6.08	9.9%	9.1%	4.9%	.334	—	—	—	—	—	5.33	194	52
Michael Nix R 2016 · 4.60 FIP	33	SP	4.60	11.9%	11.6%	1.9%	.322	—	—	—	—	—	3.82	234	52
Casey Kelly R 2024 · 5.78 FIP	34	SP	5.78	12.1%	9.1%	4.6%	.319	5.06	9.9%	1.8%	115	-0.72	4.08	636	52
Jarrett Grube R 2016 · 4.74 FIP	34	SP-	4.74	18.9%	7.2%	4.2%	.280	4.41	15.8%	7.7%	134	-0.33	3.75	393	51
Matt Buschmann R 2016 · 4.84 FIP	32	SP	4.84	12.8%	8.4%	3.2%	.325	—	—	—	—	—	4.03	277	48
Juan Omar Espinoza R 2016 · 4.84 FIP	32	SP-	4.84	8.4%	9.2%	2.4%	.348	—	—	—	—	—	4.81	104	44
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	44
Tim Adleman R 2022 · 5.69 FIP	34	SP-	5.69	17.5%	8.6%	5.4%	.275	—	—	—	—	—	3.63	605	43

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 3,327 pitcher careers (1,251 from 1990-2025 + 2,076 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	7.6	108	19.0%	8.2%	1.40	4.48
George Caster ('34-'46, 6 WAR*)	6.9	115	21.0%*	8.6%*	1.44*	4.43*
Derek Holland ('21)	7.3	113	19.7%	8.4%	1.35	4.62
Dan Schatzeder ('77-'91, 8 WAR*)	6.6	94	18.8%*	8.5%*	1.28*	4.25*
Bruce Chen ('15)	7.7	102	17.2%	8.2%	1.51	4.62
Ike Delock ('52-'63, 10 WAR*)	6.2	113	19.5%*	8.8%*	1.30*	4.18*
Chase Anderson ('24)	5.5	101	19.7%	8.1%	1.48	4.41