Victor González

Victor González P Salt Lake Bees

Age 30 LHP 6'0" / 180 lbs AAA

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

showingROS

wRC+ AGAINSTvL 116124vR 132

ERA4.81

FIP5.20

K%17.6%

BB%14.2%

K-BB%3.4%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5555

CTRL4040

CMD4040

K†4040

Statcast Percentiles

FB Velo

p1592.0

Whiff%

p1018.1%

p1011.3%

xwOBA vs

p140.355

FB+2.6 (48%)

SL+0.6 (28%)

SI (48%)

CH (24%)

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	19	MIX MLE	2 levels	19	14	66	300	56	19	5	74%	3.5	12.8%	7.3%	5.5%	2.2%	5.43	4.17	—
2015	19	MIX RAW	2 levels	19	14	66	300	56	19	5	74%	3.5	18.7%	6.3%	12.3%	1.7%	5.43	3.25	—
2016	20	A MLE	Great Lakes Loons	22	19	95	412	104	44	7	86%	4.3	18.7%	12.6%	6.1%	2.3%	3.61	4.38	—
2016	20	A RAW	Great Lakes Loons	22	19	95	412	104	44	7	86%	4.3	25.2%	10.7%	14.6%	1.7%	3.61	3.26	—
2018	22	MIX MLE	2 levels	10	8	34	157	25	9	4	80%	3.4	12.0%	5.3%	6.7%	3.2%	7.49	4.51	—
2018	22	MIX RAW	2 levels	10	8	34	157	25	9	4	80%	3.4	15.9%	5.7%	10.2%	2.5%	7.49	3.96	—
2019	23	MIX MLE	3 levels	38	13	90	380	93	32	7	34%	2.4	19.7%	9.4%	10.3%	2.2%	2.31	3.83	—
2019	23	MIX RAW	3 levels	38	13	90	380	93	32	7	34%	2.4	24.5%	8.4%	16.1%	1.8%	2.31	3.11	—
2020	24	MLB MLE	Los Angeles Dodgers	15	1	20	80	23	2	0	7%	1.4	28.7%	2.5%	26.2%	0.0%	1.33	0.99	+0.9
2020	24	MLB RAW	Los Angeles Dodgers	15	1	20	80	23	2	0	7%	1.4	28.7%	2.5%	26.2%	0.0%	1.33	1.13	+0.8
2021	25	MIX MLE	3 levels	58	2	46	205	51	20	5	3%	0.8	21.3%	11.0%	10.3%	1.9%	4.08	3.71	+0.5
2021	25	MIX RAW	3 levels	58	2	46	205	51	20	5	3%	0.8	24.9%	9.8%	15.1%	2.4%	4.08	3.60	+0.5
2022	26	MIX MLE	2 levels	13	0	13	54	12	5	1	0%	1.0	17.6%	10.5%	7.1%	2.2%	2.84	4.16	—
2022	26	MIX RAW	2 levels	13	0	13	54	12	5	1	0%	1.0	22.2%	9.3%	13.0%	1.9%	2.84	3.42	—
2023	27	MIX MLE	2 levels	54	1	54	227	52	25	2	2%	1.0	21.3%	10.3%	11.0%	0.8%	4.53	3.07	+0.9
2023	27	MIX MLE	2 levels	54	1	54	227	52	25	2	2%	1.0	21.3%	10.3%	11.0%	0.8%	4.53	3.07	+0.9
2023	27	MIX RAW	2 levels	54	1	54	227	52	25	2	2%	1.0	22.9%	11.0%	11.9%	0.9%	4.53	3.04	+1.0
2024	28	MIX MLE	2 levels	48	0	45	199	32	22	4	0%	0.9	14.3%	10.6%	3.7%	1.9%	4.17	4.30	+0.1
2024	28	MIX MLE	2 levels	48	0	45	199	32	22	4	0%	0.9	14.3%	10.6%	3.7%	1.9%	4.17	4.30	+0.1
2024	28	MIX RAW	2 levels	48	0	45	199	32	22	4	0%	0.9	16.1%	11.1%	5.0%	2.0%	4.17	4.29	+0.1
2025	29	MIX MLE	2 levels	37	0	42	194	35	34	3	0%	1.1	15.6%	16.0%	-0.3%	1.8%	3.89	4.79	—
2025	29	MIX MLE	2 levels	37	0	42	194	35	34	3	0%	1.1	15.6%	16.0%	-0.3%	1.8%	3.89	4.79	—
2025	29	MIX RAW	2 levels	37	0	42	194	35	34	3	0%	1.1	18.0%	17.5%	0.5%	1.5%	3.89	4.80	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			120	3	113	467	97	41	8	2%	0.9	20.8%	8.8%	12.0%	1.7%	3.36	3.39	+1.6
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	LAA	5	0	5	21	4	3	1	0%	1.0	17.6%	14.2%	3.4%	2.6%	4.81	5.20	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	LAA	53	0	56	236	40	34	7	0%	1.1	16.9%	14.5%	2.3%	2.8%	5.18	5.43	-0.5
2028	32	MLB MLE	LAA	49	0	52	219	35	33	7	0%	1.1	16.1%	14.9%	1.1%	3.0%	5.48	5.68	-0.6
2027	31	MLB CTX	LAA	20	0	21	89	15	13	2	0%	1.1	16.9%	14.5%	2.3%	2.8%	5.18	5.43	-0.2
2028	32	MLB CTX	LAA	28	0	29	122	20	18	4	0%	1.0	16.1%	14.9%	1.1%	3.0%	5.48	5.68	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		167	3	162	674	131	72	14	2%	1.0	19.4%	10.6%	8.8%	2.1%	3.96	3.95	+1.1
/ 200 IP	—	RAW		206	4	200	834	162	89	17	2%	1.0	19.4%	10.6%	8.8%	2.1%	3.96	3.95	+1.4
Career	—	MLE		314	58	504	2208	392	223	44	18%	1.6	17.8%	10.1%	7.6%	2.0%	3.98	3.97	+0.3
/ 200 IP	—	MLE		125	23	200	876	156	89	17	18%	1.6	17.8%	10.1%	7.6%	2.0%	3.98	3.97	+0.2

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
Victor González (OGILVIE)	—	—	5.20	17.6%	14.2%	2.6%	—	5.55	16.5%	1.7%	108	+0.35	—	—	—
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	73
Keith Hessler L 2018 · 4.96 FIP	29	SU	4.96	19.8%	13.3%	3.4%	.348	—	—	—	—	—	3.31	228	73
Josh Edgin L 2017 · 4.02 FIP	30	SU	4.02	16.3%	10.2%	1.8%	.303	3.63	29.2%	20.0%	43	-0.39	3.63	113	71
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	71
Kelvin Marte L 2017 · 4.74 FIP	29	SW	4.74	16.1%	11.4%	2.8%	.300	5.25	12.0%	1.2%	71	+0.51	3.44	360	71
Bryan Harper L 2018 · 4.63 FIP	28	SU	4.63	14.9%	13.9%	1.9%	.288	—	—	—	—	—	4.13	133	71
Kevin Chapman L 2018 · 5.66 FIP	30	SU	5.66	17.1%	15.7%	3.7%	.238	—	—	—	—	—	3.01	153	71
Jose Meraz L 2017 · 4.34 FIP	29	SU	4.34	16.4%	10.3%	2.4%	.282	3.80	10.5%	-2.0%	30	-0.54	3.78	110	70
Ashur Tolliver L 2017 · 5.03 FIP	29	SU	5.03	13.8%	18.9%	1.3%	.319	—	—	—	—	—	3.49	134	68
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	68
Braulio Lara L 2017 · 5.80 FIP	28	SU	5.80	19.8%	17.8%	3.9%	.361	—	—	—	—	—	3.96	118	68
James Jones L 2019 · 4.28 FIP	30	SU	4.28	21.9%	13.0%	2.5%	.230	4.65	23.9%	8.8%	35	+0.37	3.58	127	67
Rex Brothers L 2018 · 4.61 FIP	30	SU	4.61	23.5%	22.4%	1.2%	.301	4.24	32.8%	16.9%	99	-0.37	3.10	205	67
Dan Jennings L 2017 · 4.32 FIP	30	SU	4.32	19.1%	9.0%	3.1%	.245	3.88	16.6%	8.5%	64	-0.44	3.11	244	67
Aaron Brown L 2022 · 5.38 FIP	30	SU	5.38	21.3%	12.5%	4.5%	.253	—	—	—	—	—	4.04	269	66
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	66
Fabian Williamson L 2019 · 4.78 FIP	30	SU	4.78	20.5%	21.1%	1.3%	.352	—	—	—	—	—	3.39	154	66
Buddy Baumann L 2018 · 4.87 FIP	30	SU	4.87	20.5%	11.9%	3.6%	.258	—	—	—	—	—	2.92	155	65
Jared Koenig L 2023 · 4.16 FIP	29	SU	4.16	20.7%	9.2%	3.0%	.364	2.92	23.7%	16.1%	146	-1.24	2.79	473	63
Chris Nunn L 2021 · 4.72 FIP	30	SU	4.72	24.0%	19.2%	2.2%	.235	—	—	—	—	—	3.30	180	62

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	0.8	56	16.9%	14.5%	1.08	5.14
John Gant ('21)	1.7	85	20.1%	12.5%	0.79	3.91
Miguel Castro ('23)	2.1	59	20.8%	12.0%	1.04	3.99
Steven Brault ('21)	1.7	57	18.8%	11.3%	1.00	4.77
Tyler Chatwood ('21)	2.6	104	19.2%	13.3%	0.94	4.48
Daniel Bard ('23)	1.0	50	25.1%	13.5%	0.81	3.82
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10