Grant Taylor

P Chicago White Sox

Age 25 RHP 6'3" / 230 lbs MLB Svc 1.0 · Ctrl thru 2031 peak 1.1 · 2027

Overview

MLBRP40-MANPre-ArbFA 2032

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	5	5	19	2.33	1.44	44.4%	2.8%	—	K 31.9% · BB 2.0% · FIP 2.16
2025	23	MIX2 levels	51	8	63	3.27	1.41	35.3%	9.7%	2.4	K 32.5% · BB 10.1% · FIP 1.63
2026	24	MLBCWS	60	4	84	2.25	2.73	31.5%	8.9%	1.8
2027PROJ	25	MLBCWS	62	0	65	2.99	2.97	33.3%	8.0%	1.3
2028PROJ95% MLB	26	MLBCWS	63	0	66	2.99	2.97	33.6%	8.0%	1.3
2029PROJ95% MLB	27	MLBCWS	59	0	62	3.00	3.01	33.5%	8.1%	1.2

Last 3 seasons WAR 4.3 · Next 3 projected WAR 3.8Projected rows: MLB playing time only, park and league context applied.

ContractESTIMATED

Control thru2031Service1.645First FA2032

2027Pre-Arb$0.8M2028Pre-Arb$0.8M2029Arb-1$2M2030Arb-2$4M2031Arb-3$5M

Skills · percentileStatcast 2026

FB Velo90

K%90

xwOBA vs90

Form1.84 ERA (proj 2.99) · K 26.5% (proj 33.3%) · BB 10.3% (proj 8.0%) ▼▼ last 90d · 29 IP through Oct 27

CompsKen Giles (age 25) · Trevor Rosenthal (age 25) · Ty Buttrey (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 8576vR 68

ERA2.99

FIP2.97

K%33.3%

BB%8.0%

K-BB%25.3%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$33M ctrl surplus

Grades · Statcast · Contract

Scouting Grades

STUF6060

CTRL4545

CMD7070

K†7070

Statcast Percentiles

FB Velo

p9098.1

Whiff%

p7629.4%

p9031.5%

xwOBA vs

p900.267

Contract ESTIMATED · service-time + WAR-based estimator (needs verification)

Status Pre-Arb

MLB Debut 2025

Service 1.645 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2027	Pre-Arb	$0.8M	+1.3	$10M	+$10M
2028	Pre-Arb	$0.8M	+1.3	$10M	+$9M
2029	Arb-1	$2M	+1.2	$8M	+$6M
2030	Arb-2	$4M	+1.1	$7M	+$4M
2031	Arb-3	$5M	+0.9	$3M	+$0.0M (cut)
Totals		$8M		$38M	+$29M

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)
2024	22	MIX MLE	2 levels	5	5	19	72	32	2	2	100%	3.9	31.9%	2.0%	29.9%	2.7%	2.33	2.16	—
2024	22	MIX MLE	2 levels	5	5	19	72	32	2	2	100%	3.9	31.9%	2.0%	29.9%	2.7%	2.33	2.16	—
2024	22	MIX RAW	2 levels	5	5	19	72	32	2	2	100%	3.9	44.4%	2.8%	41.7%	2.8%	2.33	1.44	—
2025	23	MIX MLE	2 levels	51	8	63	258	91	25	0	16%	1.2	32.5%	10.1%	22.4%	0.0%	3.27	1.63	+2.2
2025	23	MIX MLE	2 levels	51	8	63	258	91	25	0	16%	1.2	32.5%	10.1%	22.4%	0.0%	3.27	1.63	+2.2
2025	23	MIX RAW	2 levels	51	8	63	258	91	25	0	16%	1.2	35.3%	9.7%	25.6%	0.0%	3.27	1.41	+2.4
2026	24	MLB MLE	Chicago White Sox	60	4	84	336	106	30	7	7%	1.4	31.5%	8.9%	22.6%	2.0%	2.25	2.69	+1.9
2026	24	MLB MLE	Chicago White Sox	60	4	84	336	106	30	7	7%	1.4	31.5%	8.9%	22.6%	2.0%	2.25	2.69	+1.9
2026	24	MLB RAW	Chicago White Sox	60	4	84	336	106	30	7	7%	1.4	31.5%	8.9%	22.6%	2.1%	2.25	2.73	+1.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			96	6	121	493	160	44	7	6%	1.3	32.5%	8.9%	23.5%	1.4%	3.06	2.30	+3.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	CWS	62	0	65	274	91	22	6	0%	1.0	33.3%	8.0%	25.3%	2.4%	2.99	2.97	+1.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	CWS	66	0	69	291	98	23	7	0%	1.0	33.6%	8.0%	25.6%	2.4%	2.97	2.95	+1.4
2029	27	MLB MLE	CWS	62	0	65	276	93	22	7	0%	1.1	33.5%	8.1%	25.5%	2.4%	2.98	2.99	+1.3
2030	28	MLB MLE	CWS	59	0	62	263	88	22	7	0%	1.1	33.4%	8.2%	25.2%	2.5%	3.04	3.07	+1.2
2031	29	MLB MLE	CWS	55	0	57	242	79	20	6	0%	1.0	32.8%	8.4%	24.4%	2.7%	3.16	3.23	+0.9
2032	30	MLB MLE	CWS	48	0	51	215	69	19	6	0%	1.1	32.1%	8.7%	23.4%	2.9%	3.33	3.44	+0.7
2028	26	MLB CTX	CWS	63	0	66	279	93	22	7	0%	1.0	33.6%	8.0%	25.6%	2.4%	2.99	2.97	+1.3
2029	27	MLB CTX	CWS	59	0	62	262	88	21	6	0%	1.1	33.5%	8.1%	25.5%	2.4%	3.00	3.01	+1.2
2030	28	MLB CTX	CWS	56	0	59	249	83	20	6	0%	1.1	33.4%	8.2%	25.2%	2.5%	3.06	3.09	+1.1
2031	29	MLB CTX	CWS	51	0	54	228	75	19	6	0%	1.1	32.8%	8.4%	24.4%	2.7%	3.19	3.26	+0.9
2032	30	MLB CTX	CWS	46	0	48	203	65	18	6	0%	1.0	32.1%	8.7%	23.4%	2.9%	3.36	3.47	+0.7
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		372	6	410	1716	565	145	39	2%	1.1	32.9%	8.4%	24.5%	2.2%	3.09	2.62	+9.5
/ 200 IP	—	RAW		181	3	200	836	275	71	19	2%	1.1	32.9%	8.4%	24.5%	2.2%	3.09	2.62	+4.6
Career	—	MLE		116	17	167	666	213	58	9	15%	1.4	32.0%	8.6%	23.3%	1.3%	2.65	2.22	+8.5
/ 200 IP	—	MLE		139	20	200	799	256	69	11	15%	1.4	32.0%	8.6%	23.3%	1.3%	2.65	2.22	+4.0

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 AABirmingham Barons · 27 IPFIP 1.39 → 2.11 (+0.73)K% 36.6% → 29.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.63%	—	×0.810	29.67%
BB% (unintentional) /BF	10.89%	—	×1.100	11.98%
HR / BF /BF	0.00%	÷0.784	×1.200	0.00%

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 57).

Result: FIP 1.39 → 2.11, 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).

2024 AKannapolis Cannon Ballers · 16 IPFIP 0.62 → 2.16 (+1.54)K% 43.1% → 31.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	43.10%	—	×0.740	31.90%
BB% (unintentional) /BF	1.72%	—	×1.180	2.03%
HR / BF /BF	1.72%	÷0.820	×1.300	2.73%

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 64).

Result: FIP 0.62 → 2.16, 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).

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
Grant Taylor (OGILVIE)	—	—	2.97	33.3%	8.0%	2.4%	—	3.00	33.5%	25.4%	197	+0.03	—	—	—
Ken Giles R 2016 · 2.73 FIP	25	SU	2.73	35.7%	8.4%	2.9%	.342	2.39	33.0%	26.3%	166	-0.34	0.92	414	81
Trevor Rosenthal R 2015 · 2.25 FIP	25	SU	2.25	28.9%	7.7%	1.1%	.330	2.70	33.4%	21.3%	88	+0.45	1.74	364	76
Ty Buttrey R 2018 · 2.43 FIP	25	SU	2.43	30.5%	7.7%	1.7%	.316	3.46	24.2%	17.4%	99	+1.03	2.43	522	75
Keone Kela R 2018 · 2.89 FIP	25	SU	2.89	31.1%	8.0%	2.5%	.266	3.43	27.7%	18.5%	30	+0.54	2.54	246	74
Kevin Ginkel R 2019 · 2.98 FIP	25	SU	2.98	35.4%	10.0%	2.9%	.255	3.67	26.2%	15.9%	104	+0.69	2.37	461	74
Jeurys Familia R 2015 · 2.55 FIP	25	SU	2.55	27.9%	5.8%	1.9%	.268	2.38	26.2%	17.5%	174	-0.17	2.05	556	73
Kyle Farnsworth R 2001 · 2.74 FIP	25	SU	2.74	31.6%	8.0%	2.4%	.289	3.82	26.4%	16.2%	190	+1.08	2.67	1,045	73
Cody Allen R 2014 · 2.68 FIP	25	SU	2.68	32.6%	7.5%	2.5%	.256	2.59	33.4%	25.1%	205	-0.09	1.58	464	73
Juan Rincon R 2004 · 2.40 FIP	25	SU	2.40	32.4%	9.5%	1.5%	.254	3.02	21.9%	13.9%	211	+0.62	2.29	499	73
Ben Heller R 2017 · 2.86 FIP	25	SU	2.86	32.4%	9.4%	2.4%	.243	—	—	—	—	—	2.49	246	73
Jeremiah Estrada R 2024 · 1.91 FIP	25	SU	1.91	37.3%	8.7%	1.6%	.288	3.19	33.9%	24.4%	104	+1.28	1.91	270	71
Connor Brogdon R 2019 · 3.64 FIP	24	SU	3.64	29.7%	8.8%	3.5%	.236	3.37	23.6%	17.2%	102	-0.27	2.98	402	71
Dominic Leone R 2017 · 2.74 FIP	25	SU	2.74	29.0%	7.2%	2.1%	.262	4.25	26.2%	16.6%	96	+1.51	2.74	514	70
Bruce Rondón R 2016 · 3.36 FIP	25	SU	3.36	29.0%	10.0%	2.6%	.284	3.41	25.1%	10.5%	82	+0.05	3.11	212	69
Sam Delaplane R 2019 · 2.57 FIP	24	SU	2.57	36.2%	9.5%	2.4%	.267	—	—	—	—	—	2.57	194	69
Jonathan Broxton R 2009 · 1.81 FIP	25	SU	1.81	38.0%	9.3%	1.3%	.260	2.96	22.4%	14.2%	133	+1.15	1.81	676	69
Yimi García R 2015 · 2.93 FIP	24	SU	2.93	30.2%	4.0%	3.4%	.257	4.72	19.5%	17.6%	37	+1.79	1.48	416	69
Jake Smith R 2015 · 3.11 FIP	25	SU	3.11	28.1%	7.5%	2.6%	.243	4.69	19.3%	-1.7%	26	+1.58	3.11	110	69
Colten Brewer R 2018 · 2.54 FIP	25	SU	2.54	28.6%	7.6%	1.6%	.325	4.73	20.0%	7.4%	109	+2.19	2.54	526	69
Giovanny Gallegos R 2017 · 2.50 FIP	25	SU	2.50	32.2%	6.1%	2.5%	.292	2.33	32.2%	27.0%	133	-0.17	1.66	560	68

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	2.5	62	33.0%	8.4%	0.87	3.06
Cody Allen ('19)	2.3	58	30.5%	9.9%	1.07	3.14
Ken Giles ('22)	1.8	59	33.3%	7.8%	0.71	2.71
Tom Henke ('82-'95, 25 WAR*)	3.9	66	35.9%*	7.7%*	0.93*	2.72*
Keone Kela ('21)	1.1	45	29.9%	9.2%	1.03	3.33
Bryan Harvey ('87-'94, 12 WAR*)	1.9	64	37.8%*	8.9%*	0.94*	2.59*
Al Hrabosky ('70-'82, 10 WAR*)	3.6	72	26.7%*	10.1%*	0.98*	3.50*