Anthony Kay — OGILVIE

Anthony Kay P Chicago White Sox

Age 31 LHP 6'0" / 225 lbs MLB peak 0.1 · 2026

2026 ROS PROJECTION145 act + 14 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 101109vR 117

ERA4.27

FIP4.18

K%19.3%

BB%8.5%

K-BB%10.9%

ROS IP14

Value2026 · WAR

Runs saved vs league avg · 159 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—40

STUF5050

CTRL4545

CMD5555

K†5555

Statcast Percentiles

FB Velo

p6895.8

Whiff%

p3222.8%

p2218.1%

xwOBA vs

p250.341

SL+0.7 (29%)

SI (17%)

CT (17%)

CH (14%)

FB-5.5 (40%)

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 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)
2018	23	MIX MLE	2 levels	23	23	123	531	123	49	7	100%	5.3	17.4%	10.7%	6.7%	1.7%	4.26	3.94	—
2018	23	MIX RAW	2 levels	23	23	123	531	123	49	7	100%	5.3	23.2%	9.2%	13.9%	1.3%	4.26	3.03	—
2019	24	MIX MLE	3 levels	29	28	148	624	148	60	12	97%	5.1	20.3%	10.2%	10.1%	2.1%	3.23	3.86	+1.8
2019	24	MIX RAW	3 levels	29	28	148	624	148	60	12	97%	5.1	23.7%	9.6%	14.1%	1.9%	3.23	3.37	+2.8
2020	25	MLB MLE	Toronto Blue Jays	13	0	21	98	22	13	3	0%	1.6	22.4%	13.3%	9.2%	3.1%	5.14	4.56	-0.0
2020	25	MLB RAW	Toronto Blue Jays	13	0	21	98	22	13	3	0%	1.6	22.4%	13.3%	9.2%	3.1%	5.14	4.72	-0.0
2021	26	MIX MLE	2 levels	19	13	60	282	68	31	12	68%	3.2	22.9%	11.2%	11.7%	4.3%	7.05	4.94	-0.0
2021	26	MIX RAW	2 levels	19	13	60	282	68	31	12	68%	3.2	24.1%	11.0%	13.1%	4.3%	7.05	4.98	-0.1
2022	27	MIX MLE	4 levels	14	4	23	107	26	13	4	29%	1.7	18.9%	16.5%	2.4%	6.6%	5.40	7.22	-0.7
2022	27	MIX RAW	4 levels	14	4	23	107	26	13	4	29%	1.7	24.3%	12.1%	12.1%	3.7%	5.40	4.77	-0.1
2023	28	MIX MLE	2 levels	48	1	55	239	69	31	4	2%	1.2	24.7%	12.1%	12.7%	1.8%	4.39	3.50	+0.7
2023	28	MIX MLE	2 levels	48	1	55	239	69	31	4	2%	1.2	24.7%	12.1%	12.7%	1.8%	4.39	3.50	+0.7
2023	28	MIX RAW	2 levels	48	1	55	239	69	31	4	2%	1.2	28.9%	13.0%	15.9%	1.7%	4.39	3.23	+0.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			74	35	230	1045	206	97	32	47%	3.1	19.7%	9.3%	10.4%	3.1%	4.92	4.38	+0.5
▸ 2026 season
YTD	31	MLB MLE	Chicago White Sox	30	28	145	652	118	51	20	93%	4.8	18.1%	7.8%	10.3%	3.0%	4.53	4.22	+1.2
YTD	31	MLB MLE	Chicago White Sox	30	28	145	652	118	51	20	93%	4.8	18.1%	7.8%	10.3%	3.0%	4.53	4.22	+1.2
▸ 2026 season — so far · projected rest · full
2026	31	MLB RAW	CWS	30	28	145	652	118	51	20	93%	4.8	18.1%	7.8%	10.3%	3.1%	4.53	4.25	+1.1
SO FAR	31	MLB RAW	CWS	30	28	145	652	118	51	20	93%	4.8	18.1%	7.8%	10.3%	3.1%	4.53	4.25	+1.1
ROS	31	MLB MLE	CWS	2	2	14	57	11	5	2	100%	6.8	19.3%	8.5%	10.9%	3.0%	4.27	4.18	+0.1
ROS	31	MLB CTX	CWS	2	2	14	59	11	5	2	100%	7.0	19.3%	8.5%	10.9%	3.0%	4.27	4.18	+0.1
2026 TOT	31	MLB MLE	CWS	—	—	159	709	129	56	22	—	—	18.2%	7.9%	10.3%	3.1%	4.51	4.21	+1.3
FULL	31	MLB A+C	CWS	—	—	159	670	129	56	22	—	—	19.3%	8.3%	10.9%	3.2%	4.51	4.31	+1.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	CWS	25	25	153	644	122	57	21	100%	6.1	18.9%	8.9%	10.0%	3.3%	4.74	4.80	+0.2
2028	33	MLB MLE	CWS	23	23	140	591	107	55	21	100%	6.1	18.0%	9.3%	8.7%	3.6%	4.95	5.08	-0.3
2027	32	MLB CTX	CWS	24	24	145	612	116	54	20	100%	6.0	18.9%	8.9%	10.0%	3.3%	4.74	4.80	+0.2
2028	33	MLB CTX	CWS	22	22	133	562	101	52	20	100%	6.0	18.0%	9.3%	8.7%	3.6%	4.95	5.08	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		123	84	522	2276	434	208	74	68%	4.2	19.1%	9.2%	9.9%	3.2%	4.86	4.43	+2.9
/ 200 IP	—	RAW		47	32	200	872	166	80	28	68%	4.2	19.1%	9.2%	9.9%	3.2%	4.86	4.43	+1.1
Career	—	MLE		176	97	575	2533	503	263	69	55%	3.3	19.9%	10.4%	9.5%	2.7%	4.45	4.22	+1.4
/ 200 IP	—	MLE		61	34	200	881	175	91	24	55%	3.3	19.9%	10.4%	9.5%	2.7%	4.45	4.22	+0.5

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
Anthony Kay (OGILVIE)	—	—	4.38	23.2%	9.7%	3.0%	—	4.93	18.5%	9.4%	293	+0.55	—	—	—
Everett Teaford L 2015 · 4.42 FIP	31	SP-	4.42	13.9%	7.6%	2.8%	.324	—	—	—	—	—	4.42	103	71
Greg Smith L 2015 · 3.37 FIP	31	SP-	3.37	11.8%	5.3%	1.1%	.284	—	—	—	—	—	3.37	120	68
Travis Blackley L 2015 · 4.91 FIP	32	SP-	4.91	15.4%	6.4%	4.2%	.324	4.45	10.5%	0.0%	137	-0.46	3.85	225	68
Aaron Laffey L 2016 · 3.51 FIP	31	SW	3.51	14.1%	6.9%	1.3%	.333	5.33	10.8%	3.0%	93	+1.82	3.51	282	67
Anthony Vasquez L 2018 · 4.64 FIP	31	SW	4.64	17.1%	8.9%	3.4%	.322	6.00	14.6%	7.3%	85	+1.36	4.02	642	61
Ryan Verdugo L 2017 · 3.36 FIP	30	SP-	3.36	22.7%	5.4%	2.7%	.333	—	—	—	—	—	3.36	153	61
Santiago Gutierrez L 2017 · 3.95 FIP	31	SP-	3.95	15.0%	8.2%	2.0%	.366	6.54	17.1%	3.7%	46	+2.59	3.90	341	60
Jorge Castillo L 2015 · 4.50 FIP	33	SP	4.50	16.8%	9.2%	3.0%	.292	4.95	12.4%	7.2%	186	+0.45	4.50	408	57
Arturo Lopez L 2015 · 4.80 FIP	32	SP	4.80	13.7%	6.2%	3.8%	.301	4.80	10.9%	4.2%	217	+0.00	4.34	445	57
Wade LeBlanc L 2016 · 3.65 FIP	31	SP-	3.65	20.3%	5.3%	2.9%	.289	4.62	18.7%	13.0%	351	+0.97	3.65	609	57
Tomas Solis L 2015 · 4.20 FIP	32	SP	4.20	15.0%	6.2%	2.9%	.264	5.09	12.0%	3.7%	159	+0.89	4.20	327	57
J.A. Happ L 2015 · 3.37 FIP	32	SP	3.37	21.1%	5.7%	2.4%	.308	3.73	23.1%	15.9%	518	+0.36	3.37	1,053	56
Clayton Richard L 2015 · 3.56 FIP	31	SW	3.56	10.8%	4.2%	1.5%	.264	4.05	16.3%	8.6%	424	+0.49	3.56	574	55
Tsuyoshi Wada L 2015 · 3.66 FIP	34	SP	3.66	16.8%	7.1%	2.0%	.307	—	—	—	—	—	3.66	119	55
Alejandro Astorga L 2017 · 4.01 FIP	30	SP	4.01	14.4%	8.2%	2.0%	.306	—	—	—	—	—	3.72	311	54
John Lannan L 2016 · 4.83 FIP	31	SP-	4.83	8.2%	7.7%	2.6%	.317	—	—	—	—	—	3.83	284	54
Jorge De La Rosa L 2015 · 3.86 FIP	34	SP	3.86	21.1%	9.8%	2.4%	.284	4.36	18.4%	8.9%	256	+0.50	3.86	405	53
Oscar Rivera L 2015 · 3.68 FIP	34	SP	3.68	14.2%	6.9%	1.7%	.298	4.66	10.4%	3.0%	129	+0.98	3.68	237	53
Irwin Delgado L 2019 · 4.73 FIP	30	SP	4.73	15.6%	9.5%	3.2%	.404	—	—	—	—	—	3.52	383	52
Roy Merritt L 2017 · 3.95 FIP	31	SP	3.95	16.2%	5.8%	2.7%	.339	—	—	—	—	—	3.93	129	51

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	2.3	153	20.2%	9.3%	1.26	4.71
Dan Straily ('19)	2.7	136	20.0%	8.9%	1.72	4.54
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Mike Foltynewicz ('21)	4.0	134	21.4%	7.7%	1.46	4.45
Julio Teheran ('23)	5.2	147	20.4%	8.8%	1.34	4.12
Kutter Crawford ('24)	2.0	130	23.9%	7.2%	1.45	4.47
Josiah Gray ('23)	1.9	126	22.6%	10.8%	1.88	4.64