Blake Taylor

P Round Rock Express

Age 31 LHP 6'3" / 220 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	26	MIX3 levels	31	2	28	4.23	4.58	14.6%	13.8%	-0.0	K 12.0% · BB 13.3% · FIP 4.53
2023	27	AAAHOU	35	0	37	5.15	4.25	14.9%	13.1%	—	K 12.8% · BB 11.8% · FIP 4.31
2024	28	AAATEX	34	0	40	5.80	4.66	20.4%	13.3%	—	K 17.6% · BB 11.9% · FIP 4.79
2025	29	No MLB games played
2026	30	No MLB games played
2027PROJ	31	MLBTEX	6	0	6	4.57	4.74	21.2%	11.2%	-0.0
2028PROJ37% MLB	32	MLBTEX	14	0	15	4.78	4.95	20.6%	11.4%	-0.1
2029PROJ55% MLB	33	MLBTEX	17	0	18	5.00	5.18	20.0%	11.7%	-0.1

Last 3 seasons WAR -0.0 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2022

xwOBA vs39

FB Velo23

K%10

CompsRaul Valdes (age 32) · Andrew Barbosa (age 29) · Edward Paredes (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 107115vR 123

ERA4.57

FIP4.74

K%21.2%

BB%11.2%

K-BB%10.0%

Proj IP55

Value2027 · WAR

Runs saved vs league avg · 55 IP

Grades · Statcast · Contract

Scouting Grades

STUF4545

CTRL3535

CMD3535

K†5050

Statcast Percentiles

FB Velo

p2392.6

Whiff%

p1320.1%

p1012.2%

xwOBA vs

p390.324

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	19	ROK MLE	GCL Mets	2	0	3	14	3	0	0	0%	1.5	21.4%	0.0%	21.4%	0.0%	6.00	1.29	—
2015	19	ROK RAW	GCL Mets	2	0	3	14	3	0	0	0%	1.5	21.4%	0.0%	21.4%	0.0%	6.00	1.10	—
2016	20	ROK MLE	Kingsport Mets	5	0	9	39	12	8	0	0%	1.7	30.8%	20.5%	10.3%	0.0%	4.15	3.10	—
2016	20	ROK RAW	Kingsport Mets	5	0	9	39	12	8	0	0%	1.7	30.8%	20.5%	10.3%	0.0%	4.15	3.10	—
2017	21	A MLE	Columbia Fireflies	18	17	86	390	72	49	6	94%	4.8	13.7%	14.8%	-1.2%	2.0%	4.94	4.93	—
2017	21	A RAW	Columbia Fireflies	18	17	86	390	72	49	6	94%	4.8	18.5%	12.6%	5.9%	1.5%	4.94	4.05	—
2018	22	MIX MLE	2 levels	19	18	87	390	83	54	4	95%	4.6	16.7%	15.7%	1.0%	1.2%	5.40	4.33	—
2018	22	MIX RAW	2 levels	19	18	87	390	83	54	4	95%	4.6	21.3%	13.8%	7.4%	1.0%	5.40	3.65	—
2019	23	MIX MLE	3 levels	40	0	67	276	74	23	3	0%	1.7	21.4%	9.4%	12.0%	1.3%	2.16	3.18	—
2019	23	MIX RAW	3 levels	40	0	67	276	74	23	3	0%	1.7	26.8%	8.3%	18.5%	1.1%	2.16	2.50	—
2020	24	MLB MLE	Houston Astros	22	0	21	87	17	11	2	0%	0.9	19.5%	12.6%	6.9%	2.4%	2.18	4.35	+0.0
2020	24	MLB RAW	Houston Astros	22	0	21	87	17	11	2	0%	0.9	19.5%	12.6%	6.9%	2.3%	2.18	4.31	+0.1
2021	25	MIX MLE	2 levels	54	0	46	203	44	20	7	0%	0.8	21.8%	10.6%	11.2%	3.3%	3.35	4.41	+0.1
2021	25	MIX RAW	2 levels	54	0	46	203	44	20	7	0%	0.8	21.7%	9.9%	11.8%	3.4%	3.35	4.48	+0.0
2022	26	MIX MLE	3 levels	31	2	28	123	18	17	2	6%	0.9	12.0%	13.3%	-1.3%	1.4%	4.23	4.53	+0.0
2022	26	MIX RAW	3 levels	31	2	28	123	18	17	2	6%	0.9	14.6%	13.8%	0.8%	1.6%	4.23	4.58	-0.0
2023	27	AAA MLE	Sugar Land Space Cowboys	35	0	37	168	25	22	2	0%	1.0	12.8%	11.8%	1.0%	1.5%	5.15	4.31	—
2023	27	AAA RAW	Sugar Land Space Cowboys	35	0	37	168	25	22	2	0%	1.0	14.9%	13.1%	1.8%	1.2%	5.15	4.25	—
2024	28	AAA MLE	Round Rock Express	34	0	40	196	40	26	5	0%	1.2	17.6%	11.9%	5.6%	3.0%	5.80	4.79	—
2024	28	AAA MLE	Round Rock Express	34	0	40	196	40	26	5	0%	1.2	17.6%	11.9%	5.6%	3.0%	5.80	4.79	—
2024	28	AAA RAW	Round Rock Express	34	0	40	196	40	26	5	0%	1.2	20.4%	13.3%	7.1%	2.6%	5.80	4.66	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			92	0	79	350	67	41	9	0%	0.9	19.1%	11.7%	7.4%	2.6%	3.06	4.44	+0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	TEX	6	0	6	25	5	3	1	0%	1.0	21.2%	11.2%	10.0%	3.0%	4.57	4.74	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	TEX	39	0	41	173	36	20	6	0%	1.0	20.6%	11.4%	9.2%	3.2%	4.78	4.95	-0.2
2029	33	MLB MLE	TEX	31	0	32	137	27	16	5	0%	1.0	20.0%	11.7%	8.3%	3.5%	5.00	5.18	-0.2
2030	34	MLB MLE	TEX	25	0	27	113	22	14	4	0%	1.1	19.2%	12.0%	7.2%	3.8%	5.25	5.44	-0.3
2028	32	MLB CTX	TEX	14	0	15	63	13	7	2	0%	1.1	20.6%	11.4%	9.2%	3.2%	4.78	4.95	-0.1
2029	33	MLB CTX	TEX	17	0	18	76	15	9	3	0%	1.1	20.0%	11.7%	8.3%	3.5%	5.00	5.18	-0.1
2030	34	MLB CTX	TEX	13	0	14	59	11	7	2	0%	1.1	19.2%	12.0%	7.2%	3.8%	5.25	5.44	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		136	0	126	546	106	64	16	0%	0.9	19.4%	11.7%	7.7%	2.9%	3.78	4.53	+0.0
/ 200 IP	—	RAW		217	0	200	868	169	102	25	0%	0.9	19.4%	11.7%	7.7%	2.9%	3.78	4.53	+0.0
Career	—	MLE		260	37	422	1886	324	245	35	14%	1.6	17.2%	13.0%	4.2%	1.8%	4.33	4.31	-0.6
/ 200 IP	—	MLE		123	18	200	895	154	116	16	14%	1.6	17.2%	13.0%	4.2%	1.8%	4.33	4.31	-0.7

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.

2024 AAARound Rock Express · 40 IPFIP 4.46 → 4.79 (+0.33)K% 20.4% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.41%	—	×0.860	17.55%
BB% (unintentional) /BF	13.27%	—	×0.900	11.94%
HR / BF /BF	2.55%	÷0.928	×1.100	3.03%

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 86).

Result: FIP 4.46 → 4.79, 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 AAASugar Land Space Cowboys · 37 IPFIP 4.16 → 4.31 (+0.16)K% 14.9% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.88%	—	×0.860	12.80%
BB% (unintentional) /BF	13.10%	—	×0.900	11.79%
HR / BF /BF	1.19%	÷0.896	×1.100	1.46%

Result: FIP 4.16 → 4.31, 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).

2022 AAASugar Land Space Cowboys · 11 IPFIP 5.02 → 5.53 (+0.51)K% 15.9% → 14.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.91%	—	×0.880	14.00%
BB% (unintentional) /BF	15.91%	—	×1.050	16.70%
HR / BF /BF	2.27%	÷0.917	×1.100	2.73%

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 83).

Result: FIP 5.02 → 5.53, 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 AABinghamton Rumble Ponies · 39 IPFIP 2.35 → 3.03 (+0.69)K% 28.7% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.66%	—	×0.810	23.22%
BB% (unintentional) /BF	7.64%	—	×1.100	8.41%
HR / BF /BF	1.27%	÷1.012	×1.200	1.51%

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 102).

Result: FIP 2.35 → 3.03, 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 A+St. Lucie Mets · 27 IPFIP 2.67 → 3.38 (+0.71)K% 24.6% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.58%	—	×0.770	18.92%
BB% (unintentional) /BF	9.32%	—	×1.150	10.72%
HR / BF /BF	0.85%	÷1.122	×1.250	0.94%

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 124).

Result: FIP 2.67 → 3.38, 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+St. Lucie Mets · 76 IPFIP 3.63 → 4.40 (+0.77)K% 21.2% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.18%	—	×0.770	16.31%
BB% (unintentional) /BF	13.24%	—	×1.150	15.22%
HR / BF /BF	1.18%	÷1.074	×1.250	1.37%

Result: FIP 3.63 → 4.40, 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 AAALas Vegas 51s · 11 IPFIP 3.52 → 3.86 (+0.34)K% 22.0% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.00%	—	×0.880	19.36%
BB% (unintentional) /BF	18.00%	—	×1.050	18.90%
HR / BF /BF	0.00%	÷1.009	×1.100	0.00%

Result: FIP 3.52 → 3.86, 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 AColumbia Fireflies · 86 IPFIP 3.98 → 4.93 (+0.95)K% 18.5% → 13.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.46%	—	×0.740	13.66%
BB% (unintentional) /BF	12.56%	—	×1.180	14.83%
HR / BF /BF	1.54%	÷0.995	×1.300	2.01%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. 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 3.98 → 4.93, 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
Blake Taylor (OGILVIE)	—	—	4.74	21.2%	11.2%	3.0%	—	5.16	20.0%	8.4%	100	+0.42	—	—	—
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	89
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	83
Edward Paredes L 2018 · 3.81 FIP	31	SU	3.81	22.7%	11.9%	2.0%	.351	5.10	21.5%	14.2%	18	+1.29	2.36	130	80
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	77
Randy Flores L 2006 · 4.00 FIP	31	SU	4.00	20.4%	9.7%	2.5%	.333	3.30	18.1%	10.5%	93	-0.70	2.51	250	76
Jeremy Bleich L 2018 · 3.69 FIP	31	SU	3.69	20.3%	6.6%	2.7%	.296	4.41	20.1%	13.1%	33	+0.72	3.20	241	75
George Sherrill L 2008 · 3.86 FIP	31	SU	3.86	24.3%	11.3%	2.5%	.277	3.38	20.6%	12.4%	141	-0.48	2.74	323	75
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	74
Nick Hagadone L 2017 · 3.74 FIP	31	SU	3.74	22.6%	9.3%	2.5%	.267	—	—	—	—	—	2.97	141	74
James Jones L 2019 · 4.28 FIP	30	SU	4.28	21.9%	13.0%	2.5%	.230	4.65	23.9%	8.8%	35	+0.37	3.58	127	72
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	72
David Purcey L 2013 · 3.79 FIP	31	SU	3.79	20.4%	11.5%	1.7%	.227	—	—	—	—	—	3.60	206	71
Yuki Matsui L 2024 · 3.63 FIP	28	SU	3.63	26.8%	8.9%	3.0%	.242	4.25	23.9%	12.6%	140	+0.62	3.63	203	71
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.76	239	70
Juan Pablo Perez L 2007 · 5.32 FIP	28	SU	5.32	17.5%	14.0%	3.5%	.324	—	—	—	—	—	1.75	104	70
Justin Marks L 2017 · 3.83 FIP	29	SW	3.83	18.7%	11.0%	1.7%	.317	—	—	—	—	—	3.83	324	70
Brian Shouse L 2002 · 5.54 FIP	33	SU	5.54	15.5%	11.3%	4.2%	.245	3.31	16.3%	10.7%	159	-2.23	2.32	339	70
Jason Gurka L 2019 · 5.13 FIP	31	SW	5.13	15.5%	7.6%	4.3%	.382	—	—	—	—	—	2.82	183	68
Pedro Feliciano L 2008 · 3.90 FIP	31	SU	3.90	21.1%	7.6%	2.9%	.309	3.02	22.1%	14.9%	122	-0.88	2.69	378	68
Mike Zagurski L 2012 · 4.48 FIP	29	SU	4.48	20.9%	11.7%	3.0%	.305	—	—	—	—	—	2.94	120	67

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	1.2	39	20.0%	11.8%	1.18	4.23
Manny Acosta ('12)	1.2	41	20.5%	10.9%	1.09	3.99
Tim Byrdak ('13)	1.7	42	21.4%	13.3%	1.22	4.35
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Ray Searage ('81-'90, 4 WAR*)	1.4	41	21.0%*	10.8%*	0.84*	3.70*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*