Curtis Taylor

P Memphis Redbirds

Age 32 RHP 6'6" / 235 lbs AAA

Overview

AAAPROSPECT

MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	27	MIX3 levels	34	0	46	3.91	4.21	27.1%	8.9%	—	K 24.2% · BB 9.9% · FIP 4.55
2023	28	MIX2 levels	35	1	48	4.53	3.50	25.5%	11.8%	—	K 19.7% · BB 12.2% · FIP 3.83
2025	30	AAASTL	31	24	137	3.21	3.80	21.0%	8.9%	—	K 18.1% · BB 8.0% · FIP 4.32
2026	31	No MLB games played
2027PROJ	32	MLBSTL	9	0	9	4.75	4.75	17.8%	8.6%	-0.0
2028PROJ37% MLB	33	MLBSTL	22	0	23	4.85	4.95	17.7%	9.0%	-0.1
2029PROJ32% MLB	34	MLBSTL	16	0	17	4.86	4.90	19.4%	8.6%	-0.1

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control50Command45

CompsAngel Castro (age 32) · Ivan Maldonado (age 35) · Chris Jakubauskas (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 123115vR 107

ERA4.75

FIP4.75

K%17.8%

BB%8.6%

K-BB%9.1%

Proj IP88

Value2027 · WAR

Runs saved vs league avg · 88 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL5050

CMD4545

K†4045

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)
2017	22	A MLE	Kane County Cougars	13	13	62	261	68	22	4	100%	4.8	19.3%	9.9%	9.3%	2.2%	3.32	3.95	—
2017	22	A RAW	Kane County Cougars	13	13	62	261	68	22	4	100%	4.8	26.1%	8.4%	17.6%	1.5%	3.32	2.81	—
2018	23	MIX MLE	2 levels	38	4	78	312	97	29	6	11%	2.1	24.9%	10.3%	14.6%	2.3%	2.54	3.59	—
2018	23	MIX RAW	2 levels	38	4	78	312	97	29	6	11%	2.1	31.1%	9.3%	21.8%	1.9%	2.54	2.73	—
2019	24	AA MLE	Montgomery Biscuits	15	1	18	76	16	5	0	7%	1.2	17.1%	7.2%	9.8%	0.0%	3.06	2.58	—
2019	24	AA RAW	Montgomery Biscuits	15	1	18	76	16	5	0	7%	1.2	21.1%	6.6%	14.5%	0.0%	3.06	2.14	—
2021	26	MIX MLE	2 levels	30	1	35	158	41	16	5	3%	1.2	21.7%	10.9%	10.8%	3.8%	5.71	4.71	—
2021	26	MIX RAW	2 levels	30	1	35	158	41	16	5	3%	1.2	25.9%	10.1%	15.8%	3.2%	5.71	3.99	—
2022	27	MIX MLE	3 levels	34	0	46	192	52	17	8	0%	1.4	24.2%	9.9%	14.3%	4.1%	3.91	4.55	—
2022	27	MIX RAW	3 levels	34	0	46	192	52	17	8	0%	1.4	27.1%	8.9%	18.2%	4.2%	3.91	4.21	—
2023	28	MIX MLE	2 levels	35	1	48	212	54	25	4	3%	1.4	19.7%	12.2%	7.5%	1.5%	4.53	3.83	—
2023	28	MIX RAW	2 levels	35	1	48	212	54	25	4	3%	1.4	25.5%	11.8%	13.7%	1.9%	4.53	3.50	—
2025	30	AAA MLE	Memphis Redbirds	31	24	137	561	118	50	14	77%	4.4	18.1%	8.0%	10.1%	3.2%	3.21	4.32	—
2025	30	AAA MLE	Memphis Redbirds	31	24	137	561	118	50	14	77%	4.4	18.1%	8.0%	10.1%	3.2%	3.21	4.32	—
2025	30	AAA RAW	Memphis Redbirds	31	24	137	561	118	50	14	77%	4.4	21.0%	8.9%	12.1%	2.5%	3.21	3.80	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	32	MLB	STL	9	0	9	38	7	3	1	0%	1.0	17.8%	8.6%	9.1%	3.1%	4.75	4.75	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	33	MLB MLE	STL	60	0	64	268	47	24	9	0%	1.1	17.7%	9.0%	8.7%	3.3%	4.85	4.95	-0.3
2029	34	MLB MLE	STL	51	0	54	227	44	19	8	0%	1.1	19.4%	8.6%	10.9%	3.6%	4.86	4.90	-0.2
2028	33	MLB CTX	STL	22	0	23	97	17	9	3	0%	1.0	17.7%	9.0%	8.7%	3.3%	4.85	4.95	-0.1
2029	34	MLB CTX	STL	16	0	17	72	14	6	3	0%	1.1	19.4%	8.6%	10.9%	3.6%	4.86	4.90	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		39	0	41	172	32	15	6	0%	1.0	18.4%	8.8%	9.6%	3.4%	4.85	4.55	-0.0
/ 200 IP	—	RAW		190	0	200	844	157	74	29	0%	1.1	18.4%	8.8%	9.6%	3.4%	4.85	4.55	-0.0
Career	—	MLE		196	44	424	1772	365	171	48	22%	2.2	20.6%	9.6%	11.0%	2.7%	3.53	4.06	-0.5
/ 200 IP	—	MLE		93	21	200	837	172	81	23	22%	2.2	20.6%	9.6%	11.0%	2.7%	3.53	4.06	-0.9

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.

2025 AAAMemphis Redbirds · 137 IPFIP 3.82 → 4.32 (+0.50)K% 21.0% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.03%	—	×0.860	18.09%
BB% (unintentional) /BF	8.91%	—	×0.900	8.02%
HR / BF /BF	2.50%	÷0.869	×1.100	3.16%

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 74).

Result: FIP 3.82 → 4.32, 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 AAWichita Wind Surge · 43 IPFIP 3.32 → 3.83 (+0.51)K% 24.3% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.34%	—	×0.810	19.71%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	1.59%	÷1.231	×1.200	1.55%

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 146).

Result: FIP 3.32 → 3.83, 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 AAASt. Paul Saints · 5 IPFIP 4.75 → 5.16 (+0.41)K% 34.8% → 29.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.78%	—	×0.860	29.91%
BB% (unintentional) /BF	17.39%	—	×0.900	15.65%
HR / BF /BF	4.35%	÷1.009	×1.100	4.74%

Result: FIP 4.75 → 5.16, 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 AAARochester Red Wings · 35 IPFIP 4.18 → 4.55 (+0.37)K% 27.5% → 24.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.52%	—	×0.880	24.21%
BB% (unintentional) /BF	9.40%	—	×1.050	9.87%
HR / BF /BF	4.03%	÷1.084	×1.100	4.08%

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 117).

Result: FIP 4.18 → 4.55, 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 AAHarrisburg Senators · 6 IPFIP 1.37 → 1.87 (+0.50)K% 27.3% → 22.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.810	22.09%
BB% (unintentional) /BF	4.55%	—	×1.100	5.00%
HR / BF /BF	0.00%	÷0.979	×1.200	0.00%

Result: FIP 1.37 → 1.87, 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 A+Wilmington Blue Rocks · 5 IPFIP 7.52 → 8.80 (+1.28)K% 23.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.770	18.33%
BB% (unintentional) /BF	9.52%	—	×1.150	10.95%
HR / BF /BF	9.52%	÷1.114	×1.250	10.68%

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 123).

Result: FIP 7.52 → 8.80, 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 AAABuffalo Bisons · 19 IPFIP 3.35 → 3.60 (+0.26)K% 18.6% → 16.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.60%	—	×0.880	16.37%
BB% (unintentional) /BF	9.30%	—	×1.050	9.77%
HR / BF /BF	1.16%	÷1.081	×1.100	1.18%

Result: FIP 3.35 → 3.60, 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 AANew Hampshire Fisher Cats · 15 IPFIP 4.62 → 6.03 (+1.41)K% 34.7% → 28.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.72%	—	×0.810	28.12%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	5.56%	÷0.973	×1.200	6.85%

Result: FIP 4.62 → 6.03, 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).

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
Curtis Taylor (OGILVIE)	—	—	4.75	17.8%	8.6%	3.1%	—	4.93	18.5%	9.7%	117	+0.18	—	—	—
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	82
Ivan Maldonado R 2015 · 4.60 FIP	35	SW	4.60	12.8%	8.7%	2.7%	.269	5.41	6.4%	-3.3%	104	+0.81	4.60	172	82
Chris Jakubauskas R 2011 · 4.42 FIP	32	SW	4.42	15.7%	7.9%	3.0%	.339	—	—	—	—	—	4.42	165	79
Spencer Bivens R 2024 · 4.07 FIP	30	SU	4.07	18.0%	5.8%	3.2%	.265	3.88	18.2%	10.9%	157	-0.19	3.52	391	78
Felipe Arredondo R 2019 · 4.65 FIP	32	SU	4.65	16.2%	7.1%	3.7%	.272	—	—	—	—	—	3.92	337	78
Rudy Gonzalez R 2015 · 4.52 FIP	34	SW	4.52	13.5%	9.6%	2.4%	.347	3.84	14.0%	6.5%	79	-0.68	3.31	119	76
Tyler Sturdevant R 2017 · 4.48 FIP	31	SU	4.48	13.5%	6.7%	3.0%	.300	—	—	—	—	—	3.44	149	74
Cody Satterwhite R 2017 · 4.22 FIP	30	SU	4.22	17.0%	7.1%	3.0%	.310	—	—	—	—	—	3.69	147	74
Ramon Delgado R 2017 · 4.31 FIP	30	SW	4.31	11.2%	4.0%	3.0%	.322	—	—	—	—	—	4.31	135	73
Brian Sanches R 2011 · 4.35 FIP	32	SU	4.35	19.6%	11.1%	2.7%	.250	—	—	—	—	—	3.39	229	73
Austin Bibens-Dirkx R 2017 · 5.03 FIP	32	SW	5.03	14.0%	6.6%	4.2%	.268	5.28	17.5%	9.7%	166	+0.25	3.97	567	73
Mike Buddie R 2002 · 4.26 FIP	31	SU	4.26	15.1%	7.6%	2.7%	.297	—	—	—	—	—	3.76	123	72
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	72
Marco Antonio Duarte R 2019 · 5.03 FIP	32	SW	5.03	12.2%	9.1%	3.3%	.420	—	—	—	—	—	4.07	203	71
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	71
Tim Dillard R 2015 · 3.58 FIP	32	SW	3.58	15.9%	7.7%	1.5%	.330	3.85	16.7%	8.1%	144	+0.27	2.92	432	70
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	70
Jason Urquidez R 2015 · 3.59 FIP	32	SU	3.59	15.6%	9.3%	1.1%	.386	1.81	25.5%	20.7%	90	-1.78	1.25	123	70
Mike Broadway R 2018 · 4.65 FIP	31	SU	4.65	23.0%	10.6%	3.9%	.282	—	—	—	—	—	1.74	195	69
Fernando Villalobos R 2017 · 4.70 FIP	32	SU	4.70	10.6%	8.0%	2.7%	.313	—	—	—	—	—	4.00	152	69

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	1.0	68	18.2%	8.7%	1.27	4.81
JC Ramírez ('19)	1.4	72	16.4%	8.4%	1.44	4.71
Buddy Carlyle ('15)	1.5	58	18.5%	8.5%	1.32	5.14
John Morris ('66-'74, -0 WAR*)	1.2	58	18.3%*	8.2%*	1.00*	4.74*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Paul Reuschel ('75-'79, 1 WAR*)	2.0	79	16.8%*	7.6%*	1.29*	4.76*
Josh Lindblom ('21)	1.0	52	22.1%	9.6%	1.25	4.78