Jimmy Lambert — OGILVIE

Jimmy Lambert P ACL White Sox

Age 31 RHP 6'2" / 190 lbs ROK

2026 ROS PROJECTION0 act + 14 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 128120vR 112

ERA4.63

FIP4.69

K%22.8%

BB%10.3%

K-BB%12.5%

ROS IP14

Value2026 · WAR

Runs saved vs league avg · 14 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL3535

CMD4545

K†5555

Statcast Percentiles

FB Velo

p4394.0

Whiff%

p6227.1%

p5923.8%

xwOBA vs

p100.363

FB-4.6

SL-5.0

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	21	MIX MLE	2 levels	15	13	38	168	43	13	3	87%	2.5	16.2%	9.5%	6.7%	1.9%	5.26	3.98	—
2016	21	MIX RAW	2 levels	15	13	38	168	43	13	3	87%	2.5	25.6%	7.7%	17.9%	1.8%	5.26	2.89	—
2017	22	MIX MLE	2 levels	26	26	150	633	102	40	11	100%	5.8	12.2%	7.3%	4.9%	1.8%	3.84	3.98	—
2017	22	MIX RAW	2 levels	26	26	150	633	102	40	11	100%	5.8	16.1%	6.3%	9.8%	1.7%	3.84	3.49	—
2018	23	MIX MLE	2 levels	18	18	96	387	110	26	7	100%	5.3	22.2%	7.6%	14.5%	2.2%	3.67	3.43	—
2018	23	MIX RAW	2 levels	18	18	96	387	110	26	7	100%	5.3	28.4%	6.7%	21.7%	1.8%	3.67	2.57	—
2019	24	AA MLE	Birmingham Barons	11	11	59	259	70	27	11	100%	5.4	21.9%	11.5%	10.4%	5.1%	4.55	5.52	—
2019	24	AA RAW	Birmingham Barons	11	11	59	259	70	27	11	100%	5.4	27.0%	10.4%	16.6%	4.2%	4.55	4.52	—
2020	25	MLB MLE	Chicago White Sox	2	0	2	8	2	0	0	0%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	0.99	+0.1
2020	25	MLB RAW	Chicago White Sox	2	0	2	8	2	0	0	0%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	1.10	+0.1
2021	26	MIX MLE	2 levels	23	22	77	329	92	38	14	96%	3.4	25.0%	12.0%	12.9%	4.0%	5.00	4.70	+0.2
2021	26	MIX RAW	2 levels	23	22	77	329	92	38	14	96%	3.4	28.0%	11.6%	16.4%	4.3%	5.00	4.55	+0.3
2022	27	MIX MLE	2 levels	47	7	60	266	57	29	12	15%	1.3	20.9%	11.0%	9.9%	3.8%	4.53	4.82	-0.2
2022	27	MIX RAW	2 levels	47	7	60	266	57	29	12	15%	1.3	21.4%	10.9%	10.5%	4.5%	4.53	5.26	-0.5
2023	28	MIX MLE	2 levels	50	1	54	249	53	27	13	2%	1.1	20.5%	10.4%	10.0%	5.1%	6.00	5.49	-0.6
2023	28	MIX MLE	2 levels	50	1	54	249	53	27	13	2%	1.1	20.5%	10.4%	10.0%	5.1%	6.00	5.49	-0.6
2023	28	MIX RAW	2 levels	50	1	54	249	53	27	13	2%	1.1	21.3%	10.8%	10.4%	5.2%	6.00	5.77	-0.8
2024	29	ROK MLE	ACL White Sox	2	2	2	8	4	0	0	100%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2024	29	ROK MLE	ACL White Sox	2	2	2	8	4	0	0	100%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-1.12	—
2024	29	ROK RAW	ACL White Sox	2	2	2	8	4	0	0	100%	1.0	50.0%	0.0%	50.0%	0.0%	0.00	-0.90	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			83	6	100	444	98	47	17	7%	1.2	22.1%	10.6%	11.5%	3.8%	4.33	4.77	-0.3
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	31	MLB	CWS	2	2	14	59	13	6	2	100%	7.0	22.8%	10.3%	12.5%	3.3%	4.63	4.69	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	32	MLB MLE	CWS	25	25	153	644	141	68	23	100%	6.1	21.9%	10.5%	11.4%	3.5%	4.77	4.90	0.0
2028	33	MLB MLE	CWS	23	23	140	591	125	63	22	100%	6.1	21.1%	10.7%	10.4%	3.8%	4.97	5.13	-0.4
2027	32	MLB CTX	CWS	8	8	46	194	43	20	7	100%	5.8	21.9%	10.5%	11.4%	3.5%	4.77	4.90	0.0
2028	33	MLB CTX	CWS	12	12	71	300	63	32	11	100%	5.9	21.1%	10.7%	10.4%	3.8%	4.97	5.13	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		102	25	216	935	203	99	35	25%	2.1	21.7%	10.6%	11.1%	3.8%	4.63	4.67	-0.3
/ 200 IP	—	RAW		95	24	200	866	188	92	32	25%	2.1	21.7%	10.6%	11.1%	3.8%	4.63	4.67	-0.3
Career	—	MLE		194	100	538	2307	442	216	73	52%	2.8	19.1%	9.4%	9.8%	3.1%	4.42	4.40	-0.2
/ 200 IP	—	MLE		72	37	200	858	164	80	27	52%	2.8	19.1%	9.4%	9.8%	3.1%	4.42	4.40	-0.1

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
Jimmy Lambert (OGILVIE)	—	—	4.69	22.8%	10.3%	3.3%	—	5.01	21.5%	10.9%	293	+0.32	—	—	—
Bud Norris R 2016 · 4.00 FIP	31	SP-	4.00	20.6%	9.1%	2.7%	.305	3.58	27.5%	19.3%	120	-0.42	3.51	316	70
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	68
Clay Buchholz R 2016 · 4.94 FIP	31	SP-	4.94	15.8%	9.2%	3.7%	.260	4.18	17.8%	11.6%	180	-0.76	2.51	433	64
Dillon Gee R 2017 · 3.85 FIP	31	SP-	3.85	18.0%	5.9%	2.8%	.302	—	—	—	—	—	3.67	380	63
Josh A. Smith R 2019 · 4.65 FIP	31	SW	4.65	20.8%	6.4%	4.5%	.341	3.67	17.4%	8.6%	59	-0.98	2.91	598	63
Scott Copeland R 2019 · 5.62 FIP	31	SP-	5.62	17.1%	12.4%	4.4%	.311	—	—	—	—	—	3.55	569	62
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	4.34	219	60
Daniel McCutchen R 2015 · 4.30 FIP	32	SP-	4.30	13.9%	4.4%	3.3%	.268	4.74	10.8%	4.9%	155	+0.44	4.30	287	59
Mike Wright Jr. R 2021 · 3.89 FIP	31	SP-	3.89	19.1%	8.8%	2.4%	.237	4.79	14.4%	1.1%	56	+0.90	3.76	725	59
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	59
Mike Bolsinger R 2017 · 4.26 FIP	29	SW	4.26	20.2%	9.4%	3.0%	.317	—	—	—	—	—	3.42	327	58
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	57
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	57
Casey Lawrence R 2018 · 3.77 FIP	30	SP-	3.77	18.1%	4.4%	3.0%	.305	4.08	20.0%	14.8%	86	+0.31	3.57	1,365	55
Scott McGregor R 2015 · 4.37 FIP	28	SP-	4.37	11.8%	7.6%	2.4%	.293	—	—	—	—	—	4.37	107	55
Nick Martinez R 2022 · 4.26 FIP	31	SW	4.26	21.2%	9.2%	3.3%	.273	3.56	19.7%	14.0%	418	-0.70	2.94	1,134	54
Hector Noesí R 2019 · 5.11 FIP	32	SP-	5.11	22.3%	7.2%	5.4%	.271	—	—	—	—	—	4.37	250	54
Tom Koehler R 2017 · 4.66 FIP	31	SP-	4.66	22.4%	9.0%	4.2%	.298	—	—	—	—	—	4.38	474	53
Brad Peacock R 2019 · 4.22 FIP	31	SP-	4.22	25.1%	8.1%	4.0%	.261	4.15	22.8%	12.5%	96	-0.07	2.97	533	53
Chris Leroux R 2015 · 4.20 FIP	31	SU	4.20	15.2%	8.6%	2.4%	.279	4.08	13.5%	5.5%	140	-0.12	4.08	219	53

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	22.0%	10.5%	1.37	4.78
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
Josiah Gray ('23)	1.9	126	22.6%	10.8%	1.88	4.64
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