Mike Vasil — OGILVIE

Mike Vasil P Chicago White Sox

Age 26 RHP 6'5" / 225 lbs MLB ILInjured 60-Day (D60)

2026 ROS PROJECTION0 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 119111vR 103

ERA4.53

FIP4.94

K%18.7%

BB%11.6%

K-BB%7.1%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL3030

CMD3535

K†4545

Statcast Percentiles

FB Velo

p5194.6

Whiff%

p4124.0%

p3119.4%

xwOBA vs

p500.312

FB+9.2 (54%)

CH+4.5 (12%)

CT+1.1 (6%)

SI (40%)

CU (12%)

SL-0.8 (16%)

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	21	ROK MLE	FCL Mets	3	3	7	24	10	0	0	100%	2.3	41.7%	0.0%	41.7%	0.0%	1.29	-0.42	—
2021	21	ROK RAW	FCL Mets	3	3	7	24	10	0	0	100%	2.3	41.7%	0.0%	41.7%	0.0%	1.29	0.24	—
2022	22	MIX MLE	3 levels	18	17	71	291	85	26	4	94%	4.0	21.9%	10.5%	11.3%	1.9%	3.53	3.63	—
2022	22	MIX RAW	3 levels	18	17	71	291	85	26	4	94%	4.0	29.2%	8.9%	20.3%	1.4%	3.53	2.54	—
2023	23	MIX MLE	2 levels	26	26	124	522	138	46	18	100%	4.8	21.7%	8.2%	13.5%	4.1%	4.65	4.55	—
2023	23	MIX MLE	2 levels	26	26	124	522	138	46	18	100%	4.8	21.7%	8.2%	13.5%	4.1%	4.65	4.55	—
2023	23	MIX RAW	2 levels	26	26	124	522	138	46	18	100%	4.8	26.4%	8.8%	17.6%	3.4%	4.65	3.87	—
2024	24	AAA MLE	Syracuse Mets	29	27	134	607	109	52	24	93%	4.6	14.9%	7.7%	7.2%	4.1%	6.04	5.07	—
2024	24	AAA MLE	Syracuse Mets	29	27	134	607	109	52	24	93%	4.6	14.9%	7.7%	7.2%	4.1%	6.04	5.07	—
2024	24	AAA RAW	Syracuse Mets	29	27	134	607	109	52	24	93%	4.6	18.0%	8.6%	9.4%	4.0%	6.04	4.97	—
2025	25	MLB MLE	Chicago White Sox	47	3	101	423	82	47	8	6%	2.1	19.4%	11.1%	8.3%	1.9%	2.50	3.89	+0.8
2025	25	MLB MLE	Chicago White Sox	47	3	101	423	82	47	8	6%	2.1	19.4%	11.1%	8.3%	1.9%	2.50	3.89	+0.8
2025	25	MLB RAW	Chicago White Sox	47	3	101	423	82	47	8	6%	2.1	19.4%	11.1%	8.3%	1.9%	2.50	3.90	+0.8
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			47	3	101	423	82	47	8	6%	2.1	19.4%	11.1%	8.3%	1.9%	2.50	3.90	+0.8
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	26	MLB	CWS	5	0	5	21	4	2	1	0%	1.0	18.7%	11.6%	7.1%	2.9%	4.53	4.94	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	27	MLB MLE	CWS	117	0	123	518	97	60	15	0%	1.0	18.7%	11.6%	7.0%	2.9%	4.80	4.98	-0.6
2028	28	MLB MLE	CWS	117	0	123	518	96	61	16	0%	1.0	18.6%	11.8%	6.8%	3.0%	4.96	5.06	-0.7
2029	29	MLB MLE	CWS	112	0	117	495	89	59	16	0%	1.0	18.0%	12.0%	6.0%	3.2%	5.12	5.23	-0.9
2030	30	MLB MLE	CWS	105	0	110	466	80	57	16	0%	1.1	17.3%	12.3%	5.0%	3.4%	5.31	5.43	-1.1
2027	27	MLB CTX	CWS	111	0	117	494	92	57	14	0%	1.1	18.7%	11.6%	7.0%	2.9%	4.80	4.98	-0.6
2028	28	MLB CTX	CWS	111	0	117	494	92	58	15	0%	1.1	18.6%	11.8%	6.8%	3.0%	4.96	5.06	-0.7
2029	29	MLB CTX	CWS	106	0	111	469	84	56	15	0%	1.0	18.0%	12.0%	6.0%	3.2%	5.12	5.23	-0.8
2030	30	MLB CTX	CWS	100	0	105	443	77	55	15	0%	1.1	17.3%	12.3%	5.0%	3.4%	5.31	5.43	-1.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		475	3	551	2321	426	273	67	1%	1.2	18.4%	11.8%	6.6%	2.9%	4.57	4.63	-0.5
/ 200 IP	—	RAW		173	1	200	843	155	99	24	1%	1.2	18.4%	11.8%	6.6%	2.9%	4.57	4.63	-0.2
Career	—	MLE		123	76	437	1867	359	167	60	62%	3.6	19.3%	9.0%	10.3%	3.2%	4.34	4.36	-0.3
/ 200 IP	—	MLE		56	35	200	854	164	77	27	62%	3.6	19.3%	9.0%	10.3%	3.2%	4.34	4.36	-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
Mike Vasil (OGILVIE)	—	—	4.94	18.7%	11.6%	2.9%	—	5.09	18.4%	6.6%	363	+0.15	—	—	—
Bryce Conley R 2021 · 4.31 FIP	26	SW	4.31	17.9%	12.2%	2.2%	.285	4.22	16.4%	5.3%	48	-0.09	4.22	560	81
Cade Winquest R 2023 · 4.37 FIP	23	SP-	4.37	17.9%	12.0%	2.3%	.299	3.74	20.8%	10.5%	175	-0.63	3.11	252	80
Cooper Chandler R 2023 · 4.33 FIP	24	SP-	4.33	17.8%	9.3%	2.9%	.300	3.78	23.5%	17.1%	18	-0.55	3.78	107	80
Aaron Northcraft R 2016 · 4.19 FIP	26	SW	4.19	16.1%	8.3%	2.5%	.309	3.32	24.1%	13.4%	34	-0.87	3.32	252	80
David Griffin R 2022 · 4.71 FIP	26	SP-	4.71	16.6%	9.8%	3.2%	.285	5.85	13.9%	4.7%	81	+1.14	4.43	239	79
Phil Klein R 2015 · 3.86 FIP	26	SW	3.86	18.1%	11.0%	1.6%	.280	3.10	24.5%	17.9%	97	-0.76	3.10	178	78
Roberto Gómez R 2017 · 3.95 FIP	27	SW	3.95	18.4%	8.9%	2.3%	.315	5.25	13.8%	4.9%	18	+1.30	3.95	115	78
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	78
Josh Roeder R 2019 · 4.71 FIP	26	SW	4.71	15.1%	8.7%	3.3%	.264	—	—	—	—	—	4.71	175	77
André Rienzo R 2015 · 4.22 FIP	27	SW	4.22	15.7%	11.1%	1.9%	.264	4.02	19.8%	5.1%	74	-0.20	3.53	200	77
Mike Connolly R 2018 · 5.13 FIP	26	SW	5.13	13.2%	9.4%	3.5%	.321	—	—	—	—	—	3.94	328	77
Luis Santos R 2017 · 4.76 FIP	26	SP-	4.76	19.7%	9.7%	3.8%	.262	3.93	22.1%	13.0%	127	-0.83	3.53	472	77
Joey Mancini R 2023 · 4.22 FIP	23	SP-	4.22	18.1%	10.0%	2.5%	.354	4.40	16.6%	6.3%	296	+0.18	3.64	391	77
Nick Pasquale R 2017 · 4.74 FIP	26	SP-	4.74	16.8%	12.7%	2.6%	.306	3.80	17.9%	6.3%	50	-0.94	3.19	308	77
Logan Verrett R 2016 · 5.19 FIP	26	SW	5.19	15.4%	10.6%	3.7%	.283	4.65	17.8%	11.8%	94	-0.54	3.81	550	77
Jake Christianson R 2023 · 4.00 FIP	23	SW	4.00	17.9%	10.1%	2.1%	.309	4.72	16.4%	6.1%	105	+0.72	4.00	188	76
Tanner Burns R 2023 · 5.27 FIP	24	SW	5.27	19.4%	12.5%	4.0%	.257	5.00	17.7%	4.6%	131	-0.27	4.34	382	76
Nolan Sanburn R 2017 · 4.55 FIP	26	SW	4.55	15.0%	10.4%	2.5%	.310	—	—	—	—	—	3.82	169	76
Daniel Blair R 2023 · 4.10 FIP	24	SW	4.10	16.6%	10.0%	2.1%	.284	4.39	17.0%	7.8%	78	+0.29	4.10	171	76
Jacob Turner R 2017 · 4.77 FIP	26	SP-	4.77	15.0%	10.5%	2.9%	.312	4.48	14.9%	6.1%	104	-0.29	4.29	340	75

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	2.8	113	18.2%	11.9%	1.19	4.96
James Kaprielian ('23)	1.6	105	20.5%	9.6%	1.26	4.58
Aaron Sanchez ('22)	3.3	93	18.1%	10.0%	0.98	4.32
Dakota Hudson ('24)	2.8	92	15.0%	11.1%	0.91	4.25
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Ian Anderson ('22)	1.4	91	22.5%	10.4%	0.96	3.97
Chad Kuhl ('24)	3.3	84	20.0%	10.4%	1.31	4.98