Tayler Scott

P Gwinnett Stripers

Age 35 RHP 6'3" / 185 lbs AAA

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	32	MLBHOU	62	1	69	2.23	3.84	25.2%	12.1%	0.6
2025	33	MIX2 levels	47	0	50	6.12	4.54	21.5%	11.6%	0.0	K 19.9% · BB 11.2% · FIP 4.56
2026	34	AAAATL	14	1	15	9.20	5.15	24.1%	17.7%	—	K 20.7% · BB 15.9% · FIP 4.90
2027PROJ	35	MLBATL	6	0	6	4.78	5.08	21.4%	13.7%	-0.0
2028PROJMLE	36	MLBATL	—	—	0	5.18	5.44	20.4%	14.3%	—
2029PROJMLE	37	MLBATL	—	—	0	5.58	5.84	19.3%	15.0%	—

Last 3 seasons WAR 0.6 · Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

K%21

FB Velo15

xwOBA vs10

CompsJoe Nelson (age 34) · Brendan Donnelly (age 35) · Matt Miller (age 34)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 113

ERA4.78

FIP5.08

K%21.4%

BB%13.7%

K-BB%7.7%

Proj IP56

Value2027 · WAR

Runs saved vs league avg · 56 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL3030

CMD4040

K†5050

Statcast Percentiles

FB Velo

p1592.0

Whiff%

p6527.7%

p2117.9%

xwOBA vs

p100.382

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	26	1	54	227	48	26	4	4%	2.1	16.7%	12.7%	3.9%	2.1%	3.83	4.48	—
2015	23	MIX RAW	2 levels	26	1	54	227	48	26	4	4%	2.1	21.1%	11.5%	9.7%	1.8%	3.83	3.73	—
2016	24	AA MLE	Biloxi Shuckers	24	0	27	114	21	14	3	0%	1.1	14.9%	13.5%	1.4%	2.5%	4.39	4.95	—
2016	24	AA RAW	Biloxi Shuckers	24	0	27	114	21	14	3	0%	1.1	18.4%	12.3%	6.1%	2.6%	4.39	4.56	—
2017	25	MIX MLE	2 levels	54	0	75	332	76	38	6	0%	1.4	18.8%	12.5%	6.3%	1.7%	3.25	4.01	—
2017	25	MIX RAW	2 levels	54	0	75	332	76	38	6	0%	1.4	22.9%	11.4%	11.4%	1.8%	3.25	3.64	—
2018	26	AAA MLE	Round Rock Express	44	0	61	254	52	24	4	0%	1.4	18.0%	9.9%	8.1%	1.8%	3.26	3.81	—
2018	26	AAA RAW	Round Rock Express	44	0	61	254	52	24	4	0%	1.4	20.5%	9.4%	11.0%	1.6%	3.26	3.43	—
2019	27	MIX MLE	2 levels	46	2	67	306	82	32	10	4%	1.5	24.1%	10.8%	13.3%	3.4%	6.95	4.29	+0.2
2019	27	MIX RAW	2 levels	46	2	67	306	82	32	10	4%	1.5	26.8%	10.5%	16.3%	3.3%	6.95	4.02	+0.4
2022	30	MIX MLE	2 levels	45	0	56	251	69	21	6	0%	1.2	24.8%	8.7%	16.1%	2.5%	5.01	3.47	+0.7
2022	30	MIX RAW	2 levels	45	0	56	251	69	21	6	0%	1.2	27.5%	8.4%	19.1%	2.4%	5.01	3.15	+0.9
2023	31	MIX MLE	2 levels	53	2	56	238	61	20	4	4%	1.1	23.0%	7.9%	15.1%	1.8%	2.89	3.17	+0.9
2023	31	MIX RAW	2 levels	53	2	56	238	61	20	4	4%	1.1	25.6%	8.4%	17.2%	1.7%	2.89	2.92	+1.1
2024	32	MLB MLE	Houston Astros	62	1	69	282	71	34	7	2%	1.1	25.2%	12.1%	13.1%	2.6%	2.23	3.90	+0.5
2024	32	MLB MLE	Houston Astros	62	1	69	282	71	34	7	2%	1.1	25.2%	12.1%	13.1%	2.6%	2.23	3.90	+0.5
2024	32	MLB RAW	Houston Astros	62	1	69	282	71	34	7	2%	1.1	25.2%	12.1%	13.1%	2.5%	2.23	3.84	+0.6
2025	33	MIX MLE	2 levels	47	0	50	233	50	27	7	0%	1.1	19.9%	11.2%	8.7%	3.1%	6.12	4.56	-0.0
2025	33	MIX MLE	2 levels	47	0	50	233	50	27	7	0%	1.1	19.9%	11.2%	8.7%	3.1%	6.12	4.56	-0.0
2025	33	MIX RAW	2 levels	47	0	50	233	50	27	7	0%	1.1	21.5%	11.6%	9.9%	3.0%	6.12	4.54	+0.0
2026	34	AAA MLE	Gwinnett Stripers	14	1	15	79	19	14	2	7%	1.0	20.7%	15.9%	4.7%	2.8%	9.20	4.90	—
2026	34	AAA MLE	Gwinnett Stripers	14	1	15	79	19	14	2	7%	1.0	20.7%	15.9%	4.7%	2.8%	9.20	4.90	—
2026	34	AAA RAW	Gwinnett Stripers	14	1	15	79	19	14	2	7%	1.0	24.1%	17.7%	6.3%	2.5%	9.20	5.15	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			125	5	142	656	139	77	23	4%	1.1	21.2%	11.7%	9.5%	3.5%	5.51	4.87	-0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	ATL	6	0	6	25	5	3	1	0%	1.0	21.4%	13.7%	7.7%	3.0%	4.78	5.08	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	ATL	34	0	36	152	31	22	5	0%	1.1	20.4%	14.3%	6.1%	3.4%	5.18	5.44	-0.4
2029	37	MLB MLE	ATL	25	0	26	110	21	16	4	0%	1.0	19.3%	15.0%	4.3%	3.8%	5.58	5.84	-0.4
2028	36	MLB CTX	ATL	—	—	0	—	—	—	—	—	—	20.4%	14.3%	6.1%	3.4%	5.18	5.44	—
2029	37	MLB CTX	ATL	—	—	0	—	—	—	—	—	—	19.3%	15.0%	4.3%	3.8%	5.58	5.84	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		125	5	142	658	139	77	23	4%	1.1	21.2%	11.7%	9.4%	3.5%	5.51	4.72	-0.3
/ 200 IP	—	RAW		176	7	200	924	195	108	32	4%	1.1	21.2%	11.7%	9.4%	3.5%	5.51	4.72	-0.4
Career	—	MLE		415	7	528	2316	488	257	56	2%	1.3	21.1%	11.1%	9.9%	2.4%	4.29	4.05	-1.3
/ 200 IP	—	MLE		157	3	200	877	185	97	21	2%	1.3	21.1%	11.1%	9.9%	2.4%	4.29	4.05	-1.3

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 AAAGwinnett Stripers · 15 IPFIP 4.70 → 4.90 (+0.20)K% 24.1% → 20.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.05%	—	×0.860	20.68%
BB% (unintentional) /BF	17.72%	—	×0.900	15.95%
HR / BF /BF	2.53%	÷1.000	×1.100	2.78%

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 4.70 → 4.90, 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).

2025 AAASugar Land Space Cowboys · 23 IPFIP 2.59 → 2.86 (+0.28)K% 26.3% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.26%	—	×0.860	22.59%
BB% (unintentional) /BF	9.09%	—	×0.900	8.18%
HR / BF /BF	1.01%	÷0.961	×1.100	1.16%

Result: FIP 2.59 → 2.86, 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).

2023 AAALas Vegas Aviators · 38 IPFIP 2.00 → 2.29 (+0.28)K% 29.3% → 25.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.33%	—	×0.860	25.23%
BB% (unintentional) /BF	8.00%	—	×0.900	7.20%
HR / BF /BF	0.67%	÷0.996	×1.100	0.74%

Result: FIP 2.00 → 2.29, 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 AAALehigh Valley IronPigs · 44 IPFIP 3.06 → 3.49 (+0.43)K% 29.2% → 25.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.17%	—	×0.880	25.67%
BB% (unintentional) /BF	7.81%	—	×1.050	8.20%
HR / BF /BF	2.60%	÷1.039	×1.100	2.76%

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 108).

Result: FIP 3.06 → 3.49, 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 AAANorfolk Tides · 51 IPFIP 2.68 → 3.32 (+0.63)K% 31.9% → 28.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.92%	—	×0.880	28.09%
BB% (unintentional) /BF	9.86%	—	×1.050	10.35%
HR / BF /BF	1.88%	÷0.889	×1.100	2.32%

Result: FIP 2.68 → 3.32, 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).

2018 AAARound Rock Express · 61 IPFIP 3.43 → 3.81 (+0.37)K% 20.5% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.47%	—	×0.880	18.02%
BB% (unintentional) /BF	9.45%	—	×1.050	9.92%
HR / BF /BF	1.57%	÷0.978	×1.100	1.77%

Result: FIP 3.43 → 3.81, 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 AABiloxi Shuckers · 62 IPFIP 3.29 → 3.73 (+0.44)K% 23.3% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.33%	—	×0.810	18.90%
BB% (unintentional) /BF	12.22%	—	×1.100	13.44%
HR / BF /BF	1.11%	÷1.393	×1.200	0.96%

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 179).

Result: FIP 3.29 → 3.73, 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 AAARound Rock Express · 13 IPFIP 5.01 → 5.23 (+0.22)K% 21.0% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.97%	—	×0.880	18.45%
BB% (unintentional) /BF	8.06%	—	×1.050	8.47%
HR / BF /BF	4.84%	÷1.117	×1.100	4.77%

Result: FIP 5.01 → 5.23, 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
Tayler Scott (OGILVIE)	—	—	5.08	21.4%	13.7%	3.0%	—	5.61	19.9%	5.3%	62	+0.53	—	—	—
Joe Nelson R 2009 · 5.35 FIP	34	SU	5.35	19.8%	14.3%	3.9%	.221	—	—	—	—	—	3.08	139	81
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	79
Matt Miller R 2006 · 4.98 FIP	34	SU	4.98	18.5%	13.8%	3.1%	.214	—	—	—	—	—	2.13	101	77
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	77
Keiichi Yabu R 2005 · 4.05 FIP	36	SU	4.05	16.8%	8.8%	2.3%	.307	3.48	15.9%	6.6%	68	-0.57	3.48	126	76
Jose Manuel Lopez R 2019 · 6.14 FIP	34	SU	6.14	17.9%	14.2%	5.0%	.299	—	—	—	—	—	3.50	170	76
Hirokazu Sawamura R 2022 · 4.02 FIP	34	SU	4.02	18.1%	11.3%	1.9%	.270	—	—	—	—	—	4.02	104	75
Leo Rosales R 2015 · 3.99 FIP	34	SU	3.99	18.1%	10.8%	1.9%	.261	4.24	7.8%	-0.4%	22	+0.25	3.85	130	73
Brian Schlitter R 2021 · 4.70 FIP	35	SU	4.70	14.9%	9.1%	3.1%	.318	—	—	—	—	—	3.27	300	72
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	2.16	306	72
Jim Miller R 2016 · 5.43 FIP	34	SU	5.43	20.4%	14.1%	4.1%	.347	—	—	—	—	—	3.95	140	70
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	69
Spencer Patton R 2023 · 4.33 FIP	35	SU	4.33	18.9%	9.7%	2.9%	.295	—	—	—	—	—	2.79	239	68
Toby Borland R 2004 · 4.28 FIP	35	SU	4.28	20.9%	8.1%	3.5%	.259	—	—	—	—	—	2.92	248	66
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	65
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	64
Fernando Rodriguez Jr. R 2019 · 5.11 FIP	35	SW	5.11	25.0%	11.2%	4.9%	.312	—	—	—	—	—	3.34	335	63
Daniel Guerrero R 2019 · 5.59 FIP	34	SW	5.59	14.7%	11.1%	4.2%	.353	—	—	—	—	—	4.61	269	63
Jesus Adrian Castillo R 2019 · 5.13 FIP	35	SU	5.13	13.1%	7.8%	3.9%	.319	—	—	—	—	—	2.23	173	62
Francisco Del Rosario R 2017 · 4.15 FIP	36	SU	4.15	16.4%	10.0%	2.1%	.267	6.35	11.9%	-0.6%	77	+2.20	3.93	194	62

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	1.3	52	20.9%	13.1%	1.33	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Paul Spoljaric ('00)	1.4	69	22.1%	12.9%	1.33	5.52
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*