Kyle Hurt — OGILVIE

Kyle Hurt P Los Angeles Dodgers

Age 28 RHP 6'3" / 240 lbs MLB peak 0.4 · 2026 ILReassigned to Minors (RM)

2026 ROS PROJECTION54 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 10496vR 88

ERA3.87

FIP3.87

K%28.6%

BB%13.1%

K-BB%15.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 59 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—40

STUF5050

CTRL4040

CMD4040

K†6565

Statcast Percentiles

FB Velo

p7996.6

Whiff%

p9034.6%

p8829.3%

xwOBA vs

p600.302

FB+1.6 (55%)

SL (9%)

CH (35%)

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)
2021	23	MIX MLE	2 levels	12	4	21	92	36	10	2	33%	1.8	28.8%	16.4%	12.4%	1.9%	5.57	3.77	—
2021	23	MIX RAW	2 levels	12	4	21	92	36	10	2	33%	1.8	39.1%	10.9%	28.3%	2.2%	5.57	2.34	—
2022	24	MIX MLE	2 levels	25	19	72	333	109	59	4	76%	2.9	25.7%	19.8%	5.9%	1.5%	5.27	4.24	—
2022	24	MIX RAW	2 levels	25	19	72	333	109	59	4	76%	2.9	32.7%	17.7%	15.0%	1.2%	5.27	3.25	—
2023	25	MIX MLE	3 levels	27	16	94	394	155	44	10	59%	3.5	31.9%	11.9%	20.0%	2.8%	3.83	3.47	+1.6
2023	25	MIX MLE	3 levels	27	16	94	394	155	44	10	59%	3.5	31.9%	11.9%	20.0%	2.8%	3.83	3.47	+1.6
2023	25	MIX RAW	3 levels	27	16	94	394	155	44	10	59%	3.5	39.3%	11.2%	28.2%	2.5%	3.83	2.59	+2.7
2024	26	MIX MLE	2 levels	16	3	21	92	25	13	0	19%	1.3	28.1%	16.6%	11.5%	0.0%	2.53	2.83	+0.4
2024	26	MIX MLE	2 levels	16	3	21	92	25	13	0	19%	1.3	28.1%	16.6%	11.5%	0.0%	2.53	2.83	+0.4
2024	26	MIX RAW	2 levels	16	3	21	92	25	13	0	19%	1.3	27.2%	14.1%	13.0%	0.0%	2.53	2.58	+0.5
2025	27	AAA MLE	Oklahoma City Comets	7	0	9	42	10	5	0	0%	1.3	23.8%	11.9%	11.9%	0.0%	1.93	2.60	—
2025	27	AAA MLE	Oklahoma City Comets	7	0	9	42	10	5	0	0%	1.3	23.8%	11.9%	11.9%	0.0%	1.93	2.60	—
2025	27	AAA RAW	Oklahoma City Comets	7	0	9	42	10	5	0	0%	1.3	23.8%	11.9%	11.9%	0.0%	1.93	2.56	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			47	2	52	224	62	23	5	4%	1.1	27.7%	10.3%	17.4%	2.2%	3.78	3.29	+0.8
▸ 2026 season
YTD	28	MLB MLE	Los Angeles Dodgers	55	1	54	245	73	32	6	2%	1.0	28.6%	12.7%	16.0%	2.4%	5.03	3.61	+0.6
YTD	28	MLB MLE	Los Angeles Dodgers	55	1	54	245	73	32	6	2%	1.0	28.6%	12.7%	16.0%	2.4%	5.03	3.61	+0.6
▸ 2026 season — so far · projected rest · full
2026	28	AAA RAW	LAD	12	0	10	54	17	10	1	0%	0.8	31.5%	18.5%	13.0%	1.9%	8.10	3.80	—
2026	28	MLB RAW	LAD	43	1	44	191	56	22	5	2%	1.0	29.3%	11.5%	17.8%	2.6%	4.33	3.52	+0.5
SO FAR	28	MLB RAW	LAD	43	1	44	191	56	22	5	2%	1.0	29.3%	11.5%	17.8%	2.6%	4.33	3.52	+0.5
ROS	28	MLB MLE	LAD	5	0	5	23	6	3	1	0%	1.1	28.6%	13.1%	15.5%	2.8%	3.87	3.87	+0.0
ROS	28	MLB CTX	LAD	5	0	5	21	6	3	1	0%	1.0	28.6%	13.1%	15.5%	2.8%	3.87	3.87	+0.0
2026 TOT	28	MLB MLE	LAD	—	—	59	268	79	35	7	—	—	29.7%	13.1%	16.6%	2.5%	4.93	3.63	+0.7
FULL	28	MLB A+C	LAD	—	—	49	207	79	35	7	—	—	38.4%	16.9%	21.5%	3.2%	5.93	3.76	+0.5
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	29	MLB MLE	LAD	54	0	56	237	67	30	7	0%	1.0	28.1%	12.6%	15.6%	2.9%	4.26	4.31	+0.2
2028	30	MLB MLE	LAD	50	0	53	223	61	28	7	0%	1.1	27.4%	12.6%	14.8%	3.1%	4.40	4.49	+0.0
2027	29	MLB CTX	LAD	50	0	53	224	63	28	7	0%	1.1	28.1%	12.6%	15.6%	2.9%	4.26	4.31	+0.1
2028	30	MLB CTX	LAD	48	0	50	211	58	27	7	0%	1.0	27.4%	12.6%	14.8%	3.1%	4.40	4.49	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		151	2	161	684	190	81	19	1%	1.1	27.8%	11.8%	15.9%	2.8%	4.14	3.77	+1.5
/ 200 IP	—	RAW		187	2	200	848	236	100	24	1%	1.1	27.8%	11.8%	15.9%	2.8%	4.14	3.77	+1.8
Career	—	MLE		142	43	271	1198	344	179	24	30%	1.9	28.7%	15.0%	13.8%	2.0%	4.42	3.66	+1.0
/ 200 IP	—	MLE		105	32	200	884	254	132	17	30%	1.9	28.7%	15.0%	13.8%	2.0%	4.42	3.66	+1.2

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
Kyle Hurt (OGILVIE)	—	—	4.30	28.6%	13.3%	2.8%	—	4.40	27.8%	15.2%	109	+0.10	—	—	—
Lucas Erceg R 2023 · 3.51 FIP	28	SU	3.51	25.6%	13.8%	1.5%	.330	3.23	21.6%	13.9%	166	-0.28	2.10	346	75
Jon Edwards R 2015 · 3.40 FIP	27	SU	3.40	31.7%	13.1%	2.4%	.264	2.40	30.3%	22.6%	30	-1.00	2.40	132	73
José Cisnero R 2016 · 4.50 FIP	27	SU	4.50	26.1%	11.7%	3.9%	.367	3.90	24.5%	13.3%	75	-0.60	2.26	279	72
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.65	159	72
JT Chargois R 2019 · 3.63 FIP	28	SU	3.63	27.2%	8.9%	3.1%	.311	3.57	23.1%	15.8%	76	-0.06	2.58	362	71
Zach McAllister R 2016 · 3.70 FIP	28	SU	3.70	23.2%	9.0%	2.6%	.309	4.18	24.0%	17.4%	119	+0.48	2.82	363	71
Junior Guerra R 2015 · 3.18 FIP	30	SW	3.18	26.8%	10.3%	1.9%	.269	4.15	20.8%	10.9%	390	+0.97	3.18	646	71
Greg Holland R 2015 · 3.21 FIP	29	SU	3.21	25.4%	13.0%	1.1%	.316	3.45	26.4%	14.2%	104	+0.24	1.97	268	70
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	70
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.42	20.8%	10.2%	92	+0.11	3.89	168	70
Liam Hendriks R 2017 · 3.30 FIP	28	SU	3.30	28.6%	8.4%	2.8%	.303	1.71	35.2%	30.1%	160	-1.59	0.63	495	70
Brooks Kriske R 2021 · 4.95 FIP	27	SU	4.95	28.6%	12.1%	5.0%	.261	4.35	29.0%	16.8%	88	-0.60	3.15	246	69
Blake Treinen R 2016 · 3.32 FIP	28	SU	3.32	24.0%	9.5%	1.9%	.271	3.04	26.0%	17.7%	215	-0.28	1.53	547	69
Brad Brach R 2015 · 3.22 FIP	29	SU	3.22	27.5%	10.8%	1.9%	.259	3.13	25.6%	17.1%	210	-0.09	2.69	410	69
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	212	69
Michael Mariot R 2017 · 3.51 FIP	28	SU	3.51	22.6%	9.0%	2.1%	.327	4.79	20.9%	11.8%	74	+1.28	2.40	676	69
Michael Tonkin R 2017 · 3.32 FIP	27	SU	3.32	29.2%	9.6%	2.7%	.309	6.30	21.8%	8.3%	22	+2.98	2.31	480	69
Dayan Díaz R 2017 · 3.45 FIP	28	SU	3.45	25.1%	8.7%	2.5%	.358	3.96	29.4%	19.3%	16	+0.51	3.08	205	69
Neil Ramírez R 2017 · 4.66 FIP	28	SU	4.66	27.1%	12.5%	4.1%	.389	4.86	29.1%	19.7%	116	+0.20	3.21	220	69
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	69

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	0.8	54	28.0%	12.8%	1.15	4.32
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64
Michael Kopech ('24)	1.9	96	26.1%	12.5%	1.45	4.15