Jameson Taillon

P Toronto Blue Jays

Age 35 RHP 6'5" / 230 lbs MLB

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	32	MIX3 levels	30	30	172	3.30	3.75	18.8%	5.0%	2.4	K 18.5% · BB 4.9% · FIP 3.93
2025	33	MIX2 levels	27	27	146	3.94	4.63	19.4%	5.1%	0.5	K 19.0% · BB 5.0% · FIP 4.80
2026	34	MIX3 levels	21	21	97	5.46	6.05	20.0%	8.2%	-1.2	K 20.5% · BB 8.4% · FIP 6.43
2027PROJ	35	MLBTOR	20	20	120	4.94	5.56	19.0%	7.0%	-0.9
2028PROJ	36	MLBTOR	18	18	107	5.53	5.93	18.0%	7.6%	-1.2
2029PROJ	37	MLBTOR	16	16	93	6.01	6.33	16.9%	8.2%	-1.4

Last 3 seasons WAR 1.6 · Next 3 projected WAR -3.5Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

Whiff%58

K%38

FB Velo12

xwOBA vs10

CompsMasato Yoshii (age 35) · Jose Oyervides (age 35) · Jarrett Grube (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA4.94

FIP5.56

K%19.0%

BB%7.0%

K-BB%12.0%

Proj IP120

Value2027 · WAR

Runs saved vs league avg · 120 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†4545

Statcast Percentiles

FB Velo

p1291.8

Whiff%

p5826.5%

p3820.5%

xwOBA vs

p100.367

CT+3.6 (19%)

SL+1.0 (17%)

SI (10%)

CU (11%)

CH-3.0 (16%)

FB-3.7 (37%)

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)
2016	24	MIX MLE	2 levels	28	28	166	654	146	22	15	100%	5.9	21.2%	3.4%	17.8%	2.5%	2.88	3.12	+3.7
2016	24	MIX RAW	2 levels	28	28	166	654	146	22	15	100%	5.9	22.3%	3.4%	19.0%	2.3%	2.88	2.91	+4.2
2017	25	MIX MLE	3 levels	28	28	148	646	146	46	11	100%	5.3	21.3%	7.3%	14.0%	2.0%	4.33	3.34	+2.8
2017	25	MIX RAW	3 levels	28	28	148	646	146	46	11	100%	5.3	22.6%	7.1%	15.5%	1.7%	4.33	3.03	+3.5
2018	26	MLB MLE	Pittsburgh Pirates	32	32	191	785	179	42	20	100%	6.0	22.8%	5.4%	17.5%	2.8%	3.20	3.36	+3.6
2018	26	MLB RAW	Pittsburgh Pirates	32	32	191	785	179	42	20	100%	6.0	22.8%	5.4%	17.5%	2.5%	3.20	3.25	+3.9
2019	27	MLB MLE	Pittsburgh Pirates	7	7	37	158	30	7	4	100%	5.3	19.0%	4.4%	14.6%	2.7%	4.10	3.56	+0.6
2019	27	MLB RAW	Pittsburgh Pirates	7	7	37	158	30	7	4	100%	5.3	19.0%	4.4%	14.6%	2.5%	4.10	3.45	+0.7
2021	29	MIX MLE	2 levels	30	30	147	616	142	43	24	100%	4.9	23.2%	7.1%	16.1%	3.7%	4.34	4.09	+1.4
2021	29	MIX RAW	2 levels	30	30	147	616	142	43	24	100%	4.9	23.1%	7.0%	16.1%	3.9%	4.34	4.17	+1.3
2022	30	MLB MLE	New York Yankees	32	32	177	728	151	32	26	100%	5.5	20.7%	4.4%	16.3%	3.3%	3.91	3.74	+2.5
2022	30	MLB RAW	New York Yankees	32	32	177	728	151	32	26	100%	5.5	20.7%	4.4%	16.3%	3.6%	3.91	3.84	+2.2
2023	31	MLB MLE	Chicago Cubs	30	29	154	655	140	41	27	97%	5.1	21.4%	6.3%	15.1%	4.3%	4.84	4.44	+0.8
2023	31	MLB RAW	Chicago Cubs	30	29	154	655	140	41	27	97%	5.1	21.4%	6.3%	15.1%	4.1%	4.84	4.36	+1.0
2024	32	MIX MLE	3 levels	30	30	172	706	133	35	21	100%	5.7	18.5%	4.9%	13.6%	3.2%	3.30	3.93	+2.0
2024	32	MIX MLE	3 levels	30	30	172	706	133	35	21	100%	5.7	18.5%	4.9%	13.6%	3.2%	3.30	3.93	+2.0
2024	32	MIX RAW	3 levels	30	30	172	706	133	35	21	100%	5.7	18.8%	5.0%	13.9%	3.0%	3.30	3.75	+2.4
2025	33	MIX MLE	2 levels	27	27	146	593	115	30	28	100%	5.4	19.0%	5.0%	14.0%	4.9%	3.94	4.80	+0.2
2025	33	MIX MLE	2 levels	27	27	146	593	115	30	28	100%	5.4	19.0%	5.0%	14.0%	4.9%	3.94	4.80	+0.2
2025	33	MIX RAW	2 levels	27	27	146	593	115	30	28	100%	5.4	19.4%	5.1%	14.3%	4.7%	3.94	4.63	+0.5
2026	34	MIX MLE	3 levels	21	21	97	414	83	34	27	100%	4.6	20.5%	8.4%	12.2%	7.3%	5.46	6.43	-1.6
2026	34	MIX MLE	3 levels	21	21	97	414	83	34	27	100%	4.6	20.5%	8.4%	12.2%	7.3%	5.46	6.43	-1.6
2026	34	MIX RAW	3 levels	21	21	97	414	83	34	27	100%	4.6	20.0%	8.2%	11.8%	6.5%	5.46	6.05	-1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			242	241	1323	5498	1149	315	197	100%	5.5	20.9%	5.7%	15.2%	3.6%	3.99	4.01	+14.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	TOR	20	20	120	507	96	35	26	100%	6.0	19.0%	7.0%	12.0%	5.1%	4.94	5.56	-0.9
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	TOR	18	18	107	450	81	34	25	100%	5.9	18.0%	7.6%	10.4%	5.5%	5.53	5.93	-1.2
2029	37	MLB MLE	TOR	16	16	93	393	66	32	23	100%	5.8	16.9%	8.2%	8.7%	5.9%	6.01	6.33	-1.4
2028	36	MLB CTX	TOR	18	18	107	452	81	34	25	100%	5.9	18.0%	7.6%	10.4%	5.5%	5.53	5.93	-1.2
2029	37	MLB CTX	TOR	16	16	93	393	66	32	23	100%	5.8	16.9%	8.2%	8.7%	5.9%	6.01	6.33	-1.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		275	274	1523	6341	1296	381	245	100%	5.5	20.4%	6.0%	14.4%	3.9%	4.22	4.25	+11.6
/ 200 IP	—	RAW		36	36	200	833	170	50	32	100%	5.5	20.4%	6.0%	14.4%	3.9%	4.22	4.25	+1.5
Career	—	MLE		265	264	1436	5955	1248	334	213	100%	5.4	21.0%	5.6%	15.3%	3.6%	3.92	4.00	+10.9
/ 200 IP	—	MLE		37	37	200	829	174	47	30	100%	5.4	21.0%	5.6%	15.3%	3.6%	3.92	4.00	+1.4

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
Jameson Taillon (OGILVIE)	—	—	5.56	19.0%	7.0%	5.1%	—	6.12	17.5%	9.6%	200	+0.56	—	—	—
Masato Yoshii R 2000 · 5.32 FIP	35	SP	5.32	12.1%	6.5%	4.4%	.302	4.38	13.1%	8.0%	244	-0.94	4.15	757	61
Jose Oyervides R 2017 · 5.38 FIP	35	SP	5.38	18.0%	6.3%	5.5%	.254	5.66	16.3%	5.1%	115	+0.28	3.01	407	54
Jarrett Grube R 2017 · 4.41 FIP	35	SP	4.41	15.8%	8.1%	3.0%	.296	—	—	—	—	—	3.75	393	49
Frankie De La Cruz R 2019 · 4.38 FIP	35	SP-	4.38	16.2%	8.0%	3.0%	.322	—	—	—	—	—	2.87	262	44
Leo Medrano R 2016 · 4.34 FIP	33	SP	4.34	11.0%	7.3%	2.3%	.312	—	—	—	—	—	3.76	222	44
Dennis Springer R 2000 · 5.32 FIP	35	SP	5.32	8.5%	8.5%	3.4%	.383	4.85	9.3%	6.6%	19	-0.47	4.58	654	43
Jesse Estrada R 2019 · 4.34 FIP	35	SP-	4.34	14.4%	6.6%	2.9%	.312	—	—	—	—	—	3.80	257	43
Mitch Talbot R 2019 · 5.01 FIP	35	SP	5.01	13.2%	4.3%	4.5%	.289	—	—	—	—	—	3.82	395	42
Hector Ambriz R 2019 · 6.40 FIP	35	SP	6.40	10.4%	7.5%	5.9%	.347	—	—	—	—	—	2.24	259	41
Jonathan Castellanos R 2017 · 4.91 FIP	35	SP	4.91	8.4%	9.2%	2.5%	.314	5.24	11.0%	2.0%	67	+0.33	3.40	394	41
Pablo Ortega R 2015 · 4.52 FIP	38	SP	4.52	8.6%	7.3%	2.2%	.291	4.24	11.5%	6.0%	236	-0.28	4.01	375	41
Michael Nix R 2016 · 4.60 FIP	33	SP	4.60	11.9%	11.6%	1.9%	.322	—	—	—	—	—	3.82	234	39
Juan Delgadillo R 2017 · 4.47 FIP	34	SP	4.47	10.9%	6.2%	2.7%	.311	—	—	—	—	—	4.47	143	39
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	34
Yohan Pino R 2017 · 5.33 FIP	33	SP-	5.33	15.2%	3.6%	5.6%	.296	—	—	—	—	—	3.84	193	33
Cesar Carrillo R 2019 · 6.22 FIP	35	SP-	6.22	11.0%	9.2%	5.3%	.392	—	—	—	—	—	4.14	336	31
Luis Mendoza R 2019 · 5.10 FIP	35	SP	5.10	9.7%	4.2%	4.2%	.378	—	—	—	—	—	3.17	374	31
J.D. Martin R 2018 · 4.94 FIP	35	SP	4.94	10.4%	11.9%	2.2%	.284	5.89	13.9%	1.1%	125	+0.95	4.79	414	31
Daniel Rodriguez L 2019 · 4.77 FIP	34	SP	4.77	20.8%	7.8%	4.5%	.329	—	—	—	—	—	2.89	391	28
Marlon Arias L 2019 · 4.83 FIP	34	SP	4.83	19.8%	11.2%	3.6%	.273	—	—	—	—	—	3.73	154	23

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,853 starter careers (497 from 1990-2025 + 1,356 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	8.2	126	20.3%	6.3%	1.53	4.27
Mike Fiers ('21)	5.8	128	20.5%	7.0%	1.44	4.07
Craig Swan ('73-'84, 10 WAR*)	6.2	124	18.8%*	7.1%*	1.36*	4.46*
Scott Sanderson ('78-'96, 30 WAR*)	12.8	151	20.3%*	5.7%*	1.52*	4.18*
Anthony DeSclafani ('25)	4.9	109	20.9%	6.4%	1.34	4.24
Tyler Anderson ('25)	6.3	126	19.5%	7.8%	1.32	4.30
Bob Muncrief ('37-'51, 14 WAR*)	7.0	156	18.4%*	6.0%*	1.58*	4.24*