Grant Wolfram — OGILVIE

Grant Wolfram P Baltimore Orioles

Age 29 LHP 6'7" / 250 lbs MLB peak 0.5 · 2026

2026 ROS PROJECTION47 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 7785vR 93

ERA3.32

FIP3.28

K%25.0%

BB%9.0%

K-BB%16.0%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 53 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL3535

CMD4545

K†5555

Statcast Percentiles

FB Velo

p6295.4

Whiff%

p5025.2%

p7526.8%

xwOBA vs

p770.286

SI (39%)

CU (16%)

FB (64%)

SL-1.1 (20%)

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	21	ROK MLE	AZL Rangers	8	1	11	45	10	6	0	12%	1.3	22.2%	13.3%	8.9%	0.0%	3.38	2.91	—
2018	21	ROK RAW	AZL Rangers	8	1	11	45	10	6	0	12%	1.3	22.2%	13.3%	8.9%	0.0%	3.38	2.91	—
2019	22	A MLE	Hickory Crawdads	25	9	69	308	73	30	3	36%	2.8	17.5%	11.5%	6.0%	1.1%	4.28	3.66	—
2019	22	A RAW	Hickory Crawdads	25	9	69	308	73	30	3	36%	2.8	23.7%	9.7%	14.0%	1.0%	4.28	2.85	—
2021	24	A+ MLE	Hickory Crawdads	17	14	66	303	99	34	11	82%	3.9	25.2%	12.9%	12.3%	5.2%	4.21	5.44	—
2021	24	A+ RAW	Hickory Crawdads	17	14	66	303	99	34	11	82%	3.9	32.7%	11.2%	21.5%	3.6%	4.21	3.81	—
2022	25	AA MLE	Frisco RoughRiders	39	0	57	260	71	42	3	0%	1.5	22.1%	17.8%	4.3%	1.5%	4.42	4.31	—
2022	25	AA RAW	Frisco RoughRiders	39	0	57	260	71	42	3	0%	1.5	27.3%	16.2%	11.2%	1.2%	4.42	3.50	—
2023	26	MIX MLE	2 levels	40	1	62	255	78	24	6	2%	1.6	24.9%	9.6%	15.3%	2.8%	3.90	3.73	—
2023	26	MIX MLE	2 levels	40	1	62	255	78	24	6	2%	1.6	24.9%	9.6%	15.3%	2.8%	3.90	3.73	—
2023	26	MIX RAW	2 levels	40	1	62	255	78	24	6	2%	1.6	30.6%	9.4%	21.2%	2.4%	3.90	3.00	—
2024	27	MIX MLE	2 levels	46	0	60	250	69	25	5	0%	1.3	21.3%	9.1%	12.2%	2.5%	3.13	3.82	—
2024	27	MIX MLE	2 levels	46	0	60	250	69	25	5	0%	1.3	21.3%	9.1%	12.2%	2.5%	3.13	3.82	—
2024	27	MIX RAW	2 levels	46	0	60	250	69	25	5	0%	1.3	27.6%	10.0%	17.6%	2.0%	3.13	3.13	—
2025	28	MIX MLE	2 levels	49	0	59	271	67	27	2	0%	1.2	22.5%	9.5%	13.0%	0.7%	4.42	2.79	+1.2
2025	28	MIX MLE	2 levels	49	0	59	271	67	27	2	0%	1.2	22.5%	9.5%	13.0%	0.7%	4.42	2.79	+1.2
2025	28	MIX RAW	2 levels	49	0	59	271	67	27	2	0%	1.2	24.7%	10.0%	14.8%	0.7%	4.42	2.64	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			76	0	74	338	86	27	5	0%	1.0	25.4%	8.0%	17.5%	1.5%	4.99	2.75	+1.6
▸ 2026 season
YTD	29	MLB MLE	Baltimore Orioles	55	0	47	205	55	13	3	0%	0.9	26.8%	6.3%	20.5%	1.4%	4.75	2.41	+1.2
YTD	29	MLB MLE	Baltimore Orioles	55	0	47	205	55	13	3	0%	0.9	26.8%	6.3%	20.5%	1.4%	4.75	2.41	+1.2
▸ 2026 season — so far · projected rest · full
2026	29	MLB RAW	BAL	55	0	47	205	55	13	3	0%	0.9	26.8%	6.3%	20.5%	1.5%	4.75	2.44	+1.2
SO FAR	29	MLB RAW	BAL	55	0	47	205	55	13	3	0%	0.9	26.8%	6.3%	20.5%	1.5%	4.75	2.44	+1.2
ROS	29	MLB MLE	BAL	5	0	5	23	6	2	0	0%	1.1	25.0%	9.0%	16.0%	2.1%	3.32	3.28	+0.1
ROS	29	MLB CTX	BAL	5	0	5	21	5	2	0	0%	1.0	25.0%	9.0%	16.0%	2.1%	3.32	3.28	+0.1
2026 TOT	29	MLB MLE	BAL	—	—	53	228	61	15	3	—	—	26.6%	6.6%	20.0%	1.5%	4.61	2.50	+1.4
FULL	29	MLB A+C	BAL	—	—	53	223	61	15	3	—	—	27.3%	6.8%	20.5%	1.6%	4.61	2.51	+1.4
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	30	MLB MLE	BAL	57	0	60	254	61	24	6	0%	1.1	23.8%	9.3%	14.6%	2.3%	3.82	3.89	+0.5
2028	31	MLB MLE	BAL	53	0	56	237	55	23	6	0%	1.1	23.1%	9.6%	13.4%	2.5%	4.03	4.15	+0.3
2027	30	MLB CTX	BAL	54	0	57	241	57	22	5	0%	1.1	23.8%	9.3%	14.6%	2.3%	3.82	3.89	+0.5
2028	31	MLB CTX	BAL	50	0	53	224	52	22	6	0%	1.1	23.1%	9.6%	13.4%	2.5%	4.03	4.15	+0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		186	0	190	827	201	73	17	0%	1.0	24.3%	8.8%	15.5%	2.0%	4.32	3.27	+2.9
/ 200 IP	—	RAW		196	0	200	871	212	77	18	0%	1.0	24.3%	8.8%	15.5%	2.0%	4.32	3.27	+3.0
Career	—	MLE		279	25	432	1897	430	212	41	9%	1.5	22.7%	11.2%	11.5%	2.2%	4.12	3.79	+2.4
/ 200 IP	—	MLE		129	12	200	878	199	98	19	9%	1.5	22.7%	11.2%	11.5%	2.2%	4.12	3.79	+2.5

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
Grant Wolfram (OGILVIE)	—	—	4.04	23.2%	10.5%	2.2%	—	4.02	23.5%	14.0%	116	-0.02	—	—	—
Boone Logan L 2015 · 2.96 FIP	30	SU	2.96	26.2%	9.5%	1.6%	.352	3.05	29.7%	20.6%	78	+0.09	2.58	113	81
Jake Diekman L 2016 · 3.23 FIP	29	SU	3.23	26.7%	11.3%	1.7%	.241	3.09	28.6%	15.8%	115	-0.14	2.36	455	80
Josh Smoker L 2018 · 3.66 FIP	29	SU	3.66	22.1%	8.4%	2.5%	.318	6.58	14.2%	3.4%	14	+2.92	2.71	230	78
Antonio Bastardo L 2015 · 3.10 FIP	29	SU	3.10	26.8%	10.0%	1.8%	.238	5.27	22.6%	11.3%	88	+2.17	3.10	145	78
Daniel Rodriguez L 2015 · 2.89 FIP	30	SU	2.89	20.2%	9.4%	0.6%	.256	4.17	16.3%	5.9%	234	+1.28	2.89	391	76
Zach Phillips L 2016 · 3.01 FIP	29	SU	3.01	27.4%	11.9%	1.3%	.370	3.20	19.2%	10.6%	86	+0.19	2.33	202	76
Edward Paredes L 2016 · 3.47 FIP	29	SU	3.47	24.1%	13.0%	1.4%	.225	3.55	23.7%	14.0%	86	+0.08	2.36	130	76
Mike Dunn L 2015 · 3.75 FIP	30	SU	3.75	27.7%	11.9%	2.7%	.294	4.21	22.5%	10.9%	110	+0.46	3.71	181	75
Kyle Regnault L 2018 · 3.82 FIP	29	SU	3.82	27.6%	9.7%	3.3%	.367	—	—	—	—	—	2.88	204	74
Jorge Ibarra L 2017 · 3.09 FIP	29	SU	3.09	19.3%	6.5%	1.4%	.351	—	—	—	—	—	2.55	146	73
Arturo Barradas L 2017 · 3.42 FIP	29	SU	3.42	18.1%	7.0%	1.8%	.288	3.24	16.1%	9.5%	34	-0.18	3.24	163	73
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	73
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	73
Sammy Solís L 2018 · 4.39 FIP	29	SU	4.39	24.9%	9.6%	4.0%	.330	4.05	26.2%	17.3%	23	-0.34	2.51	190	73
Jeremy Horst L 2015 · 4.09 FIP	29	SU	4.09	18.8%	11.2%	2.1%	.291	3.71	15.1%	2.7%	48	-0.38	3.71	108	72
Jake McGee L 2016 · 4.60 FIP	29	SU	4.60	18.5%	7.3%	3.9%	.329	3.93	22.1%	15.6%	150	-0.67	1.39	350	71
Aaron Loup L 2017 · 3.04 FIP	29	SU	3.04	24.2%	9.1%	1.5%	.318	3.28	23.6%	17.2%	65	+0.24	2.07	363	71
Scott Alexander L 2018 · 3.30 FIP	29	SU	3.30	20.9%	9.3%	1.4%	.290	4.64	13.3%	5.0%	45	+1.34	2.90	426	71
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	71
Rex Brothers L 2017 · 3.10 FIP	29	SU	3.10	31.4%	8.6%	2.9%	.333	4.34	29.0%	8.9%	86	+1.24	3.10	205	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	0.9	60	23.4%	9.8%	0.90	3.98
Cory Gearrin ('19)	1.1	57	21.5%	9.8%	0.79	3.42
Derek Law ('24)	1.5	60	21.5%	8.9%	0.88	3.47
José Cisnero ('23)	1.1	42	24.8%	11.3%	0.94	3.84
Archie Bradley ('21)	2.2	74	23.2%	9.8%	0.85	3.93
Cam Bedrosian ('21)	1.3	45	24.5%	10.0%	0.97	3.68
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97