Andrew Vasquez — OGILVIE

Andrew Vasquez P Salt Lake Bees

Age 32 LHP 6'6" / 235 lbs AAA

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

showingROS

wRC+ AGAINSTvL 108116vR 124

ERA4.87

FIP5.39

K%12.4%

BB%9.8%

K-BB%2.6%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF3535

CTRL4040

CMD4040

K†3030

Statcast Percentiles

FB Velo

p1089.1

Whiff%

p1017.5%

p3219.6%

xwOBA vs

p550.307

SL+1.9

FB-1.8

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)
2015	21	ROK MLE	GCL Twins	12	0	12	65	22	14	0	0%	1.0	23.0%	26.9%	-3.9%	0.0%	2.92	4.57	—
2015	21	ROK RAW	GCL Twins	12	0	12	65	22	14	0	0%	1.0	33.8%	21.5%	12.3%	0.0%	2.92	2.94	—
2016	22	MIX MLE	2 levels	17	0	38	153	51	16	0	0%	2.3	23.4%	12.4%	10.9%	0.0%	1.41	2.70	—
2016	22	MIX RAW	2 levels	17	0	38	153	51	16	0	0%	2.3	33.3%	10.5%	22.9%	0.0%	1.41	1.69	—
2017	23	MIX MLE	2 levels	37	0	58	241	85	21	0	0%	1.6	26.7%	10.1%	16.6%	0.0%	1.55	2.13	—
2017	23	MIX RAW	2 levels	37	0	58	241	85	21	0	0%	1.6	35.3%	8.7%	26.6%	0.0%	1.55	1.26	—
2018	24	MIX MLE	4 levels	49	1	74	304	115	20	2	2%	1.5	30.5%	6.8%	23.7%	1.0%	1.57	1.92	+2.4
2018	24	MIX RAW	4 levels	49	1	74	304	115	20	2	2%	1.5	37.8%	6.6%	31.2%	0.7%	1.57	1.16	+3.1
2019	25	MIX MLE	4 levels	31	1	37	183	51	36	1	3%	1.2	22.3%	20.6%	1.7%	0.7%	6.14	4.19	+0.2
2019	25	MIX RAW	4 levels	31	1	37	183	51	36	1	3%	1.2	27.9%	19.7%	8.2%	0.5%	6.14	3.62	+0.4
2021	27	MIX MLE	2 levels	41	0	50	214	82	24	5	0%	1.2	33.4%	12.1%	21.3%	2.6%	3.42	3.24	+0.8
2021	27	MIX RAW	2 levels	41	0	50	214	82	24	5	0%	1.2	38.3%	11.2%	27.1%	2.3%	3.42	2.56	+1.2
2022	28	MIX MLE	3 levels	39	0	41	165	54	11	2	0%	1.1	29.3%	6.0%	23.4%	0.9%	3.07	1.88	+1.3
2022	28	MIX RAW	3 levels	39	0	41	165	54	11	2	0%	1.1	32.7%	6.7%	26.1%	1.2%	3.07	1.90	+1.3
2023	29	MIX MLE	2 levels	49	0	55	248	52	23	4	0%	1.1	19.6%	10.0%	9.6%	1.9%	3.11	3.76	+0.5
2023	29	MIX MLE	2 levels	49	0	55	248	52	23	4	0%	1.1	19.6%	10.0%	9.6%	1.9%	3.11	3.76	+0.5
2023	29	MIX RAW	2 levels	49	0	55	248	52	23	4	0%	1.1	21.0%	9.3%	11.7%	1.6%	3.11	3.41	+0.7
2024	30	AAA MLE	Toledo Mud Hens	48	3	69	324	63	31	8	6%	1.4	16.1%	8.6%	7.5%	3.4%	5.11	4.71	—
2024	30	AAA MLE	Toledo Mud Hens	48	3	69	324	63	31	8	6%	1.4	16.1%	8.6%	7.5%	3.4%	5.11	4.71	—
2024	30	AAA RAW	Toledo Mud Hens	48	3	69	324	63	31	8	6%	1.4	19.4%	9.6%	9.9%	2.5%	5.11	4.13	—
2025	31	MIX MLE	2 levels	12	0	15	70	16	6	3	0%	1.3	13.4%	7.3%	6.1%	5.4%	5.28	5.84	—
2025	31	MIX MLE	2 levels	12	0	15	70	16	6	3	0%	1.3	13.4%	7.3%	6.1%	5.4%	5.28	5.84	—
2025	31	MIX RAW	2 levels	12	0	15	70	16	6	3	0%	1.3	22.9%	8.6%	14.3%	4.3%	5.28	4.73	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			64	0	64	293	63	30	5	0%	1.0	21.5%	10.2%	11.3%	1.7%	4.24	3.56	+0.8
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	LAA	5	0	5	21	3	2	1	0%	1.0	12.4%	9.8%	2.6%	3.1%	4.87	5.39	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	LAA	51	0	53	225	28	23	8	0%	1.0	12.6%	10.2%	2.4%	3.4%	5.24	5.56	-0.6
2028	34	MLB MLE	LAA	46	0	48	205	26	22	7	0%	1.1	12.5%	10.6%	1.9%	3.6%	5.52	5.77	-0.6
2029	35	MLB MLE	LAA	41	0	44	184	22	20	7	0%	1.1	12.1%	11.1%	1.0%	4.0%	5.80	6.03	-0.7
2027	33	MLB CTX	LAA	19	0	20	84	11	9	3	0%	1.1	12.6%	10.2%	2.4%	3.4%	5.24	5.56	-0.2
2028	34	MLB CTX	LAA	15	0	16	68	8	7	2	0%	1.1	12.5%	10.6%	1.9%	3.6%	5.52	5.77	-0.2
2029	35	MLB CTX	LAA	11	0	12	51	6	6	2	0%	1.1	12.1%	11.1%	1.0%	4.0%	5.80	6.03	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		109	0	111	493	88	51	12	0%	1.0	17.8%	10.4%	7.5%	2.5%	4.77	4.27	+0.4
/ 200 IP	—	RAW		197	0	200	888	159	92	22	0%	1.0	17.8%	10.4%	7.5%	2.5%	4.77	4.27	+0.7
Career	—	MLE		335	5	450	1967	479	213	31	1%	1.3	24.4%	10.8%	13.5%	1.6%	3.16	3.28	-1.3
/ 200 IP	—	MLE		149	2	200	875	213	95	14	1%	1.3	24.4%	10.8%	13.5%	1.6%	3.16	3.28	-1.3

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
Andrew Vasquez (OGILVIE)	—	—	5.39	12.4%	9.8%	3.1%	—	5.77	12.4%	1.8%	145	+0.38	—	—	—
Brian Duensing L 2015 · 4.47 FIP	32	SU	4.47	11.5%	8.1%	2.4%	.252	3.76	20.2%	11.8%	137	-0.71	2.57	198	82
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	75
Tommy Layne L 2017 · 5.32 FIP	32	SU	5.32	13.3%	14.4%	2.8%	.253	3.83	21.8%	14.4%	64	-1.49	1.32	182	74
Brett Cecil L 2018 · 5.57 FIP	32	SU	5.57	12.1%	12.7%	3.4%	.301	—	—	—	—	—	1.96	191	69
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	69
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	68
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
Marc Rzepczynski L 2018 · 5.68 FIP	32	SU	5.68	17.0%	16.0%	3.6%	.403	5.36	14.8%	1.6%	45	-0.32	2.73	181	65
Robbie Ross Jr. L 2021 · 4.98 FIP	32	SU	4.98	15.2%	7.0%	4.2%	.312	—	—	—	—	—	2.81	159	65
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	63
Edgar Osuna L 2019 · 5.09 FIP	31	SW	5.09	10.0%	7.2%	3.5%	.373	—	—	—	—	—	5.05	175	61
Wade LeBlanc L 2017 · 4.30 FIP	32	SU	4.30	19.1%	5.7%	3.8%	.266	4.79	18.2%	12.3%	306	+0.49	3.65	609	60
Sam Freeman L 2019 · 5.60 FIP	32	SU	5.60	16.8%	11.3%	4.5%	.380	4.01	18.5%	5.4%	36	-1.59	3.03	299	58
Travis Wood L 2017 · 5.48 FIP	30	SW	5.48	14.9%	10.3%	4.2%	.322	—	—	—	—	—	3.25	256	57
Jeremy Bleich L 2019 · 4.41 FIP	32	SW	4.41	20.1%	7.0%	3.9%	.360	—	—	—	—	—	3.20	241	56
Cesár Ramos L 2016 · 5.20 FIP	32	SW	5.20	15.0%	7.8%	4.3%	.324	4.23	16.7%	8.4%	92	-0.97	2.80	225	55
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	55
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	54
Chris Narveson L 2015 · 4.79 FIP	33	SW	4.79	23.6%	8.0%	4.9%	.333	4.59	14.1%	4.5%	193	-0.20	4.59	249	53
Blaine Hardy L 2019 · 5.81 FIP	32	SU	5.81	15.9%	7.1%	5.7%	.215	5.14	19.5%	9.0%	68	-0.67	2.74	417	52

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	12.4%	10.4%	1.35	5.32
Eddie Butler ('18)	1.2	62	13.3%	9.8%	1.49	5.74
Dylan Covey ('23)	1.5	73	15.4%	9.9%	1.53	6.14
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77