Danny Young — OGILVIE

Danny Young P Atlanta Braves

Age 32 LHP 6'3" / 200 lbs MLB peak 0.4 · 2026

2026 ROS PROJECTION23 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9199vR 107

ERA3.96

FIP3.89

K%26.2%

BB%11.7%

K-BB%14.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 28 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL4040

CMD5555

K†6565

Statcast Percentiles

FB Velo

p3893.7

Whiff%

p4624.7%

p5523.1%

xwOBA vs

p100.391

FB+1.1 (55%)

SL (42%)

SI (55%)

CT-0.6 (3%)

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)
2016	22	A MLE	Lansing Lugnuts	21	0	23	104	18	9	2	0%	1.1	12.8%	10.2%	2.6%	2.6%	2.70	4.73	—
2016	22	A RAW	Lansing Lugnuts	21	0	23	104	18	9	2	0%	1.1	17.3%	8.7%	8.7%	1.9%	2.70	3.83	—
2017	23	MIX MLE	2 levels	47	0	63	268	50	19	3	0%	1.3	14.7%	7.9%	6.8%	1.1%	3.00	3.49	—
2017	23	MIX RAW	2 levels	47	0	63	268	50	19	3	0%	1.3	18.7%	7.1%	11.6%	1.1%	3.00	3.04	—
2018	24	AA MLE	New Hampshire Fisher Cats	40	0	57	248	48	19	3	0%	1.4	15.7%	8.4%	7.2%	1.5%	4.13	3.69	—
2018	24	AA RAW	New Hampshire Fisher Cats	40	0	57	248	48	19	3	0%	1.4	19.4%	7.7%	11.7%	1.2%	4.13	3.10	—
2019	25	MIX MLE	2 levels	38	0	49	213	42	26	3	0%	1.3	15.3%	13.0%	2.3%	1.7%	2.76	4.36	—
2019	25	MIX RAW	2 levels	38	0	49	213	42	26	3	0%	1.3	19.7%	12.2%	7.5%	1.4%	2.76	3.77	—
2021	27	AAA MLE	Columbus Clippers	40	0	52	234	58	25	9	0%	1.3	21.8%	11.2%	10.6%	4.1%	4.47	4.92	—
2021	27	AAA RAW	Columbus Clippers	40	0	52	234	58	25	9	0%	1.3	24.8%	10.7%	14.1%	3.8%	4.47	4.55	—
2022	28	MIX MLE	2 levels	43	0	43	185	63	15	1	0%	1.0	32.8%	8.9%	23.9%	0.0%	3.80	1.46	+1.6
2022	28	MIX RAW	2 levels	43	0	43	185	63	15	1	0%	1.0	34.1%	8.1%	25.9%	0.5%	3.80	1.51	+1.6
2023	29	MIX MLE	2 levels	24	0	24	115	29	13	4	0%	1.0	18.7%	12.4%	6.3%	5.6%	4.50	6.16	-0.4
2023	29	MIX MLE	2 levels	24	0	24	115	29	13	4	0%	1.0	18.7%	12.4%	6.3%	5.6%	4.50	6.16	-0.4
2023	29	MIX RAW	2 levels	24	0	24	115	29	13	4	0%	1.0	25.2%	11.3%	13.9%	3.5%	4.50	4.47	+0.0
2024	30	MIX MLE	2 levels	57	0	52	231	70	28	3	0%	0.9	28.7%	11.6%	17.0%	1.3%	3.63	2.87	+1.0
2024	30	MIX MLE	2 levels	57	0	52	231	70	28	3	0%	0.9	28.7%	11.6%	17.0%	1.3%	3.63	2.87	+1.0
2024	30	MIX RAW	2 levels	57	0	52	231	70	28	3	0%	0.9	30.3%	12.1%	18.2%	1.3%	3.63	2.77	+1.1
2025	31	MLB MLE	New York Mets	10	0	8	37	13	3	0	0%	0.8	35.1%	8.1%	27.0%	0.0%	4.32	1.16	+0.3
2025	31	MLB MLE	New York Mets	10	0	8	37	13	3	0	0%	0.8	35.1%	8.1%	27.0%	0.0%	4.32	1.16	+0.3
2025	31	MLB RAW	New York Mets	10	0	8	37	13	3	0	0%	0.8	35.1%	8.1%	27.0%	0.0%	4.32	1.06	+0.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			79	1	73	334	93	35	7	1%	0.9	27.8%	10.5%	17.4%	2.1%	4.68	3.24	+1.1
▸ 2026 season
YTD	32	MLB MLE	Atlanta Braves	27	2	23	109	29	18	3	7%	0.9	23.1%	16.9%	6.2%	4.6%	4.24	5.83	-0.3
YTD	32	MLB MLE	Atlanta Braves	27	2	23	109	29	18	3	7%	0.9	23.1%	16.9%	6.2%	4.6%	4.24	5.83	-0.3
▸ 2026 season — so far · projected rest · full
2026	32	ROK RAW	ATL	1	1	1	4	2	0	0	100%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2026	32	AA RAW	ATL	3	0	3	14	5	3	0	0%	1.0	35.7%	21.4%	14.3%	0.0%	0.00	2.80	—
2026	32	AAA RAW	ATL	7	0	7	26	7	4	0	0%	1.0	26.9%	15.4%	11.5%	0.0%	0.00	2.78	—
2026	32	MLB RAW	ATL	16	1	12	65	15	11	3	6%	0.8	23.1%	16.9%	6.2%	4.6%	8.03	5.83	-0.2
SO FAR	32	MLB RAW	ATL	16	1	12	65	15	11	3	6%	0.8	23.1%	16.9%	6.2%	4.6%	8.03	5.83	-0.2
ROS	32	MLB MLE	ATL	5	0	5	21	5	2	1	0%	1.0	26.2%	11.7%	14.5%	2.8%	3.96	3.89	+0.0
ROS	32	MLB CTX	ATL	5	0	5	21	6	2	1	0%	1.0	26.2%	11.7%	14.5%	2.8%	3.96	3.89	+0.0
2026 TOT	32	MLB MLE	ATL	—	—	28	130	34	20	4	—	—	26.5%	15.8%	10.8%	2.8%	4.19	5.49	-0.3
FULL	32	MLB A+C	ATL	—	—	17	73	34	20	4	—	—	47.3%	28.1%	19.2%	4.9%	6.87	5.36	-0.2
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	ATL	51	0	53	225	57	27	7	0%	1.0	25.2%	12.1%	13.1%	3.2%	4.56	4.65	-0.1
2028	34	MLB MLE	ATL	46	0	48	204	49	25	7	0%	1.1	24.2%	12.4%	11.8%	3.5%	4.77	4.93	-0.2
2029	35	MLB MLE	ATL	41	0	43	183	42	23	7	0%	1.1	23.2%	12.8%	10.4%	3.8%	5.03	5.23	-0.3
2027	33	MLB CTX	ATL	49	0	51	215	54	26	7	0%	1.0	25.2%	12.1%	13.1%	3.2%	4.56	4.65	-0.1
2028	34	MLB CTX	ATL	42	0	44	186	45	23	6	0%	1.0	24.2%	12.4%	11.8%	3.5%	4.77	4.93	-0.2
2029	35	MLB CTX	ATL	35	0	37	156	36	20	6	0%	1.1	23.2%	12.8%	10.4%	3.8%	5.03	5.23	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		209	1	210	911	233	106	27	0%	1.0	25.6%	11.7%	14.0%	3.0%	4.72	4.03	+1.3
/ 200 IP	—	RAW		200	1	200	869	222	101	26	0%	1.0	25.6%	11.7%	14.0%	3.0%	4.72	4.03	+1.2
Career	—	MLE		347	2	395	1744	362	186	37	1%	1.1	20.7%	10.7%	10.1%	2.1%	3.67	3.87	+0.5
/ 200 IP	—	MLE		176	1	200	884	183	94	19	1%	1.1	20.7%	10.7%	10.1%	2.1%	3.67	3.87	+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
Danny Young (OGILVIE)	—	—	4.08	27.1%	11.0%	2.7%	—	4.92	24.3%	11.9%	145	+0.84	—	—	—
Mike Dunn L 2017 · 4.29 FIP	32	SU	4.29	25.9%	12.7%	3.2%	.276	5.11	17.3%	2.6%	35	+0.82	3.71	181	83
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.80	223	80
Josh Edgin L 2018 · 3.63 FIP	31	SU	3.63	29.2%	9.2%	3.3%	.324	—	—	—	—	—	3.63	113	77
Ryan Buchter L 2019 · 4.75 FIP	32	SU	4.75	25.3%	10.6%	4.4%	.286	5.24	22.9%	9.7%	32	+0.49	2.37	296	76
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	72
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	72
Fernando Abad L 2017 · 3.53 FIP	31	SU	3.53	20.3%	7.1%	2.2%	.281	2.37	23.3%	21.0%	44	-1.16	2.37	306	72
Zach Duke L 2015 · 4.21 FIP	32	SU	4.21	25.9%	11.0%	3.5%	.250	2.85	22.9%	14.7%	131	-1.36	2.44	215	71
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	71
Jeff Beliveau L 2018 · 3.86 FIP	31	SU	3.86	23.3%	14.4%	1.7%	.309	—	—	—	—	—	3.19	137	70
Boone Logan L 2017 · 2.96 FIP	32	SU	2.96	30.8%	9.9%	2.2%	.346	5.29	24.1%	12.0%	11	+2.33	2.58	113	69
Jake Diekman L 2019 · 2.93 FIP	32	SU	2.93	29.8%	13.5%	1.2%	.293	3.99	31.5%	18.1%	140	+1.06	2.36	455	69
Grant Dayton L 2020 · 3.75 FIP	32	SU	3.75	27.4%	8.5%	3.4%	.254	3.84	23.2%	13.8%	62	+0.09	1.63	277	69
Zach Phillips L 2019 · 3.67 FIP	32	SU	3.67	19.1%	8.5%	2.0%	.355	—	—	—	—	—	2.33	202	68
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	68
Anthony Gose L 2022 · 4.71 FIP	31	SU	4.71	30.4%	14.1%	4.4%	.234	4.70	23.1%	11.3%	82	-0.01	3.85	219	67
Heriberto Ruelas L 2015 · 2.95 FIP	33	SU	2.95	19.1%	7.3%	1.0%	.352	3.57	16.2%	8.5%	89	+0.62	2.95	117	67
Dana Eveland L 2016 · 3.84 FIP	32	SU	3.84	17.2%	9.7%	1.8%	.272	4.67	14.7%	10.0%	21	+0.83	2.42	129	66
Dan Runzler L 2017 · 4.20 FIP	32	SU	4.20	17.5%	11.0%	2.1%	.325	4.84	16.0%	3.0%	27	+0.64	3.78	127	66
Vidal Nuño L 2019 · 4.40 FIP	32	SU	4.40	20.2%	8.7%	3.5%	.376	4.88	16.0%	11.1%	53	+0.48	4.00	424	66

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	1.0	51	25.1%	12.0%	1.26	4.59
Lucas Sims ('24)	1.4	47	27.6%	11.6%	1.24	4.22
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
Robert Stephenson ('23)	1.7	57	26.2%	9.9%	1.39	4.33
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Keegan Thompson ('24)	1.1	57	23.0%	11.3%	1.19	3.64