Grant Taylor — OGILVIE

Grant Taylor P Chicago White Sox

Age 24 RHP 6'3" / 230 lbs MLB Svc 0.0 · Ctrl thru 2031 peak 1.5 · 2027

2026 ROS PROJECTION77 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 7769vR 61

ERA2.79

FIP2.43

K%33.6%

BB%8.5%

K-BB%25.1%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 83 IP

━ projected WAR━ paid WAR ($/8M) surplus deficit━ post-control+$57M ctrl surplus

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL4545

CMD7070

K†8080

Statcast Percentiles

FB Velo

p9098.1

Whiff%

p7429.1%

p9032.5%

xwOBA vs

p900.265

FB+3.2 (57%)

SI (12%)

CU (27%)

CT-0.6 (0%)

SL-1.0 (16%)

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

Status Pre-Arb

MLB Debut 2025

Service 0.645 yrs.days

Team Control Through 2031

First FA Year 2032

Year	Status	Salary	Proj WAR	Value	Surplus
2026ROS	Ext	$0.1M	+0.2	$0.6M	+$0.6M
2027	Pre-Arb	$0.8M	+2.1	$16M	+$15M
2028	Pre-Arb	$0.8M	+2.1	$14M	+$14M
2029	Arb-1	$4M	+2.0	$13M	+$10M
2030	Arb-2	$7M	+1.8	$11M	+$6M
2031	Arb-3	$9M	+1.6	$9M	+$4M
Totals		$21M		$63M	+$49M

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 + 2026 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
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			92	6	113	465	154	41	7	7%	1.2	33.1%	8.8%	24.3%	1.5%	3.10	2.27	+3.1
▸ 2026 season
YTD	24	MLB MLE	Chicago White Sox	56	4	77	308	100	27	7	7%	1.4	32.5%	8.8%	23.7%	2.2%	2.23	2.69	+1.7
YTD	24	MLB MLE	Chicago White Sox	56	4	77	308	100	27	7	7%	1.4	32.5%	8.8%	23.7%	2.2%	2.23	2.69	+1.7
▸ 2026 season — so far · projected rest · full
2026	24	MLB RAW	CWS	56	4	77	308	100	27	7	7%	1.4	32.5%	8.8%	23.7%	2.3%	2.23	2.72	+1.7
SO FAR	24	MLB RAW	CWS	56	4	77	308	100	27	7	7%	1.4	32.5%	8.8%	23.7%	2.3%	2.23	2.72	+1.7
ROS	24	MLB MLE	CWS	6	0	6	27	9	2	1	0%	1.1	33.6%	8.5%	25.1%	2.0%	2.79	2.43	+0.2
ROS	24	MLB CTX	CWS	6	0	6	25	9	2	1	0%	1.0	33.6%	8.5%	25.1%	2.0%	2.81	2.45	+0.2
2026 TOT	24	MLB MLE	CWS	—	—	83	335	109	29	8	—	—	32.6%	8.7%	23.8%	2.2%	2.27	2.67	+2.2
FULL	24	MLB A+C	CWS	—	—	83	350	109	29	8	—	—	31.1%	8.4%	22.7%	2.2%	2.27	2.71	+2.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	25	MLB MLE	CWS	87	0	91	385	132	30	8	0%	1.0	34.3%	7.8%	26.5%	2.1%	2.89	2.70	+2.2
2028	26	MLB MLE	CWS	87	0	91	385	133	30	8	0%	1.0	34.5%	7.7%	26.7%	2.1%	2.76	2.68	+2.2
2029	27	MLB MLE	CWS	85	0	90	379	131	30	8	0%	1.1	34.5%	7.8%	26.7%	2.1%	2.73	2.71	+2.1
2030	28	MLB MLE	CWS	83	0	87	367	126	29	8	0%	1.0	34.3%	8.0%	26.4%	2.2%	2.77	2.80	+1.9
2031	29	MLB MLE	CWS	79	0	83	351	118	29	8	0%	1.1	33.8%	8.2%	25.6%	2.4%	2.88	2.96	+1.7
2032	30	MLB MLE	CWS	74	0	78	330	116	25	8	0%	1.1	35.0%	7.7%	27.4%	2.6%	2.89	2.89	+1.6
2033	31	MLB MLE	CWS	69	0	73	307	105	25	9	0%	1.1	34.3%	8.0%	26.3%	2.8%	3.03	3.13	+1.3
2034	32	MLB MLE	CWS	64	0	67	284	95	24	9	0%	1.1	33.5%	8.4%	25.1%	3.0%	3.24	3.38	+1.0
2035	33	MLB MLE	CWS	59	0	62	261	85	23	9	0%	1.0	32.6%	8.9%	23.8%	3.3%	3.49	3.66	+0.7
2027	25	MLB CTX	CWS	83	0	87	367	126	29	8	0%	1.0	34.3%	7.8%	26.5%	2.1%	2.91	2.72	+2.1
2028	26	MLB CTX	CWS	83	0	87	367	127	28	8	0%	1.0	34.5%	7.7%	26.7%	2.1%	2.78	2.70	+2.1
2029	27	MLB CTX	CWS	81	0	85	359	124	28	8	0%	1.0	34.5%	7.8%	26.7%	2.1%	2.75	2.73	+2.0
2030	28	MLB CTX	CWS	79	0	83	350	120	28	8	0%	1.1	34.3%	8.0%	26.4%	2.2%	2.79	2.82	+1.8
2031	29	MLB CTX	CWS	75	0	79	334	113	27	8	0%	1.1	33.8%	8.2%	25.6%	2.4%	2.90	2.98	+1.6
2032	30	MLB CTX	CWS	70	0	74	312	110	24	8	0%	1.1	35.0%	7.7%	27.4%	2.6%	2.91	2.91	+1.6
2033	31	MLB CTX	CWS	66	0	69	291	100	23	8	0%	1.0	34.3%	8.0%	26.3%	2.8%	3.06	3.16	+1.2
2034	32	MLB CTX	CWS	61	0	64	270	91	23	8	0%	1.0	33.5%	8.4%	25.1%	3.1%	3.27	3.41	+0.9
2035	33	MLB CTX	CWS	56	0	59	249	81	22	8	0%	1.1	32.6%	8.9%	23.8%	3.4%	3.52	3.69	+0.6
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		751	6	805	3387	1152	275	79	1%	1.1	34.0%	8.1%	25.9%	2.3%	2.98	2.54	+19.4
/ 200 IP	—	RAW		187	1	200	841	286	68	20	1%	1.1	34.0%	8.1%	25.9%	2.3%	2.98	2.54	+4.8
Career	—	MLE		112	17	159	638	207	55	9	15%	1.4	32.4%	8.6%	23.9%	1.4%	2.65	2.21	+17.1
/ 200 IP	—	MLE		141	21	200	801	260	68	11	15%	1.4	32.4%	8.6%	23.9%	1.4%	2.65	2.21	+4.1

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)	—	—	2.61	35.3%	8.2%	1.9%	—	2.70	34.4%	26.6%	272	+0.09	—	—	—
Orion Kerkering R 2023 · 3.34 FIP	22	SU	3.34	28.3%	7.4%	3.1%	.301	2.88	25.6%	16.4%	179	-0.46	1.90	221	78
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	1.86	196	78
Ken Giles R 2015 · 1.96 FIP	24	SU	1.96	29.2%	7.7%	0.6%	.306	2.63	31.9%	25.0%	179	+0.67	1.96	368	77
Dugan Darnell R 2021 · 2.50 FIP	24	SU	2.50	30.7%	7.3%	2.0%	.293	4.65	23.1%	11.9%	142	+2.15	2.50	238	77
Geoff Broussard R 2015 · 3.25 FIP	24	SU	3.25	30.8%	8.3%	3.1%	.286	4.90	17.2%	8.7%	107	+1.65	3.25	152	74
Franco Aleman R 2023 · 2.92 FIP	23	SU	2.92	28.4%	8.8%	2.0%	.315	2.96	29.2%	19.7%	114	+0.04	2.38	225	74
Cade Smith R 2023 · 3.44 FIP	24	SU	3.44	29.0%	9.7%	2.9%	.333	1.56	35.2%	28.9%	215	-1.88	1.03	379	74
Keone Kela R 2017 · 2.99 FIP	24	SU	2.99	33.8%	10.6%	2.5%	.175	3.09	29.9%	21.4%	82	+0.10	2.54	246	74
Dellin Betances R 2015 · 2.15 FIP	27	SU	2.15	39.5%	11.4%	1.7%	.248	2.02	41.0%	29.6%	199	-0.13	1.59	308	73
Theo Denlinger R 2021 · 2.92 FIP	25	SU	2.92	33.2%	10.2%	2.4%	.346	4.38	19.6%	8.8%	125	+1.46	2.92	140	73
Shane Smith R 2023 · 3.52 FIP	23	SU	3.52	28.1%	10.4%	2.7%	.259	3.59	22.9%	13.1%	284	+0.07	3.01	342	73
Kevin Ginkel R 2018 · 2.50 FIP	24	SU	2.50	30.0%	5.0%	2.4%	.277	4.05	30.3%	19.4%	102	+1.55	2.37	455	72
Sam Delaplane R 2019 · 2.57 FIP	24	SU	2.57	36.2%	9.5%	2.4%	.267	—	—	—	—	—	2.57	194	72
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	455	72
David Bednar R 2019 · 2.40 FIP	24	SU	2.40	29.0%	7.3%	1.5%	.336	2.42	32.7%	25.7%	112	+0.02	1.66	573	72
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	401	71
Zach McAllister R 2015 · 2.82 FIP	27	SU	2.82	28.1%	6.4%	2.4%	.333	3.88	23.5%	16.0%	159	+1.06	2.82	363	71
Yoan López R 2017 · 2.21 FIP	24	SU	2.21	37.5%	9.0%	2.1%	.292	4.20	22.0%	14.1%	142	+1.99	2.21	377	71
Miguel Sánchez R 2018 · 3.46 FIP	24	SU	3.46	29.4%	8.1%	3.3%	.295	4.02	20.5%	11.2%	111	+0.56	2.54	309	71
Craig Kimbrel R 2015 · 2.48 FIP	27	SU	2.48	36.4%	8.8%	2.5%	.272	2.13	42.6%	32.3%	184	-0.35	0.94	601	71

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	4.1	81	34.3%	8.0%	0.92	2.94
Adam Ottavino ('24)	2.3	59	29.3%	11.4%	0.86	3.18
Joe Jiménez ('24)	1.9	53	29.8%	8.6%	1.11	4.06
Giovanny Gallegos ('24)	1.5	52	29.4%	6.6%	1.19	3.46
Felipe Vázquez ('19)	1.7	66	29.8%	7.5%	0.60	2.61
Corey Knebel ('22)	1.4	47	32.3%	11.2%	0.95	3.04
Keone Kela ('19)	1.1	43	30.1%	9.4%	0.92	3.23