Trevor Gott — OGILVIE

Trevor Gott P El Paso Chihuahuas

Age 33 RHP 5'11" / 185 lbs AAA peak 0.1 · 2026

2026 ROS PROJECTION34 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108100vR 92

ERA4.28

FIP4.45

K%21.2%

BB%8.2%

K-BB%13.1%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 39 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL5050

CMD5050

K†5050

Statcast Percentiles

FB Velo

p3393.3

Whiff%

p3523.2%

p5923.8%

xwOBA vs

p730.290

CT+2.8

FB+1.0

CH-2.5

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	22	MIX MLE	3 levels	73	0	76	320	57	25	2	0%	1.0	15.3%	7.3%	8.0%	0.7%	2.74	3.12	+1.3
2015	22	MIX RAW	3 levels	73	0	76	320	57	25	2	0%	1.0	17.8%	7.8%	10.0%	0.6%	2.74	2.93	+1.5
2016	23	MIX MLE	3 levels	43	0	47	212	39	14	2	0%	1.1	15.7%	7.2%	8.4%	1.3%	4.18	3.40	+0.6
2016	23	MIX RAW	3 levels	43	0	47	212	39	14	2	0%	1.1	18.4%	6.6%	11.8%	0.9%	4.18	2.89	+0.9
2017	24	MIX MLE	2 levels	34	0	40	187	38	14	3	0%	1.2	18.8%	7.7%	11.1%	1.4%	5.80	3.24	+0.6
2017	24	MIX RAW	2 levels	34	0	40	187	38	14	3	0%	1.2	20.3%	7.5%	12.8%	1.6%	5.80	3.22	+0.6
2018	25	MIX MLE	2 levels	48	0	48	204	53	16	5	0%	1.0	23.7%	8.0%	15.7%	2.4%	4.47	3.43	+0.6
2018	25	MIX RAW	2 levels	48	0	48	204	53	16	5	0%	1.0	26.0%	7.8%	18.1%	2.5%	4.47	3.24	+0.8
2019	26	MLB MLE	San Francisco Giants	50	0	53	214	57	17	4	0%	1.1	26.6%	7.9%	18.7%	2.0%	4.44	2.97	+1.0
2019	26	MLB RAW	San Francisco Giants	50	0	53	214	57	17	4	0%	1.1	26.6%	7.9%	18.7%	1.9%	4.44	2.89	+1.0
2020	27	MLB MLE	San Francisco Giants	15	0	12	57	8	8	7	0%	0.8	14.0%	14.0%	0.0%	13.3%	10.03	10.98	-0.9
2020	27	MLB RAW	San Francisco Giants	15	0	12	57	8	8	7	0%	0.8	14.0%	14.0%	0.0%	12.3%	10.03	11.59	-1.0
2021	28	AAA MLE	Sacramento River Cats	43	1	42	171	53	15	4	2%	1.0	27.3%	9.2%	18.1%	2.6%	4.10	3.38	—
2021	28	AAA RAW	Sacramento River Cats	43	1	42	171	53	15	4	2%	1.0	31.0%	8.8%	22.2%	2.3%	4.10	2.88	—
2022	29	MIX MLE	3 levels	50	0	51	209	52	13	8	0%	1.0	23.7%	6.5%	17.2%	4.1%	4.21	4.17	+0.2
2022	29	MIX RAW	3 levels	50	0	51	209	52	13	8	0%	1.0	24.9%	6.2%	18.7%	3.8%	4.21	3.86	+0.4
2023	30	MIX MLE	2 levels	66	0	61	270	64	17	4	0%	0.9	23.8%	6.1%	17.6%	1.5%	4.01	2.71	+1.3
2023	30	MIX MLE	2 levels	66	0	61	270	64	17	4	0%	0.9	23.8%	6.1%	17.6%	1.5%	4.01	2.71	+1.3
2023	30	MIX RAW	2 levels	66	0	61	270	64	17	4	0%	0.9	23.7%	6.3%	17.4%	1.5%	4.01	2.69	+1.4
2025	32	MIX MLE	2 levels	24	0	21	99	19	8	5	0%	0.9	14.4%	7.8%	6.6%	5.0%	7.40	5.60	—
2025	32	MIX MLE	2 levels	24	0	21	99	19	8	5	0%	0.9	14.4%	7.8%	6.6%	5.0%	7.40	5.60	—
2025	32	MIX RAW	2 levels	24	0	21	99	19	8	5	0%	0.9	19.2%	8.1%	11.1%	5.1%	7.40	5.57	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			255	0	244	1055	222	79	30	0%	1.0	21.0%	7.5%	13.6%	2.8%	4.65	3.85	+2.0
▸ 2026 season
YTD	33	AAA MLE	El Paso Chihuahuas	27	1	34	145	28	14	4	4%	1.3	16.0%	8.7%	7.3%	3.0%	3.44	4.51	—
YTD	33	AAA MLE	El Paso Chihuahuas	27	1	34	145	28	14	4	4%	1.3	16.0%	8.7%	7.3%	3.0%	3.44	4.51	—
▸ 2026 season — so far · projected rest · full
2026	33	AAA RAW	SD	27	1	34	145	28	14	4	4%	1.3	19.3%	9.7%	9.7%	2.8%	3.44	4.21	—
ROS	33	MLB MLE	SD	5	0	5	21	5	2	1	0%	1.0	21.2%	8.2%	13.1%	3.2%	4.28	4.45	+0.0
2026 TOT	33	MLB MLE	SD	—	—	39	166	33	16	5	—	—	19.6%	9.5%	10.1%	2.8%	3.55	4.50	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	34	MLB MLE	SD	48	0	51	214	43	19	7	0%	1.1	20.3%	8.7%	11.7%	3.5%	4.57	4.76	-0.1
2028	35	MLB MLE	SD	43	0	45	192	37	18	7	0%	1.1	19.4%	9.2%	10.1%	3.8%	4.88	5.09	-0.3
2029	36	MLB MLE	SD	38	0	40	170	31	17	7	0%	1.1	18.4%	9.8%	8.5%	4.2%	5.23	5.46	-0.4
2027	34	MLB CTX	SD	3	0	3	13	3	1	0	0%	1.0	20.3%	8.7%	11.7%	3.5%	4.57	4.76	-0.0
2028	35	MLB CTX	SD	—	—	0	—	—	—	—	—	—	19.4%	9.2%	10.1%	3.8%	4.88	5.09	—
2029	36	MLB CTX	SD	—	—	0	—	—	—	—	—	—	18.4%	9.8%	8.5%	4.2%	5.23	5.46	—
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		259	0	247	1071	225	80	31	0%	1.0	21.0%	7.5%	13.5%	2.9%	4.65	3.84	+2.1
/ 200 IP	—	RAW		209	0	200	866	182	65	25	0%	1.0	21.0%	7.5%	13.5%	2.9%	4.65	3.84	+1.7
Career	—	MLE		473	2	484	2088	428	161	51	0%	1.0	20.5%	7.7%	12.8%	2.4%	4.35	3.68	+1.2
/ 200 IP	—	MLE		195	1	200	862	177	66	21	0%	1.0	20.5%	7.7%	12.8%	2.4%	4.35	3.68	+0.6

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
Trevor Gott (OGILVIE)	—	—	4.45	21.2%	8.2%	3.2%	—	5.08	19.4%	10.2%	136	+0.63	—	—	—
Tony Barnette R 2017 · 3.56 FIP	33	SU	3.56	22.6%	7.1%	2.7%	.335	2.61	25.0%	20.2%	26	-0.95	2.61	144	78
Cory Gearrin R 2019 · 3.78 FIP	33	SU	3.78	19.5%	10.0%	1.9%	.303	—	—	—	—	—	3.15	272	77
Bryan Shaw R 2021 · 4.39 FIP	33	SU	4.39	21.3%	11.4%	3.0%	.274	3.93	19.2%	8.7%	169	-0.46	2.78	596	77
Josh Lueke R 2019 · 4.11 FIP	34	SU	4.11	20.4%	6.4%	3.5%	.311	—	—	—	—	—	2.29	107	76
Manny Acosta R 2016 · 4.19 FIP	35	SU	4.19	18.1%	9.1%	2.7%	.273	3.08	23.2%	9.9%	44	-1.11	3.08	102	76
Tommy Hunter R 2018 · 3.30 FIP	32	SU	3.30	18.9%	5.2%	2.1%	.296	2.78	24.5%	18.6%	25	-0.52	2.78	316	76
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	76
Santiago Casilla R 2015 · 3.50 FIP	35	SU	3.50	25.4%	8.6%	2.7%	.290	3.97	22.4%	12.7%	161	+0.47	3.50	219	76
Jose Manuel Lopez R 2017 · 3.61 FIP	32	SU	3.61	20.4%	10.0%	1.8%	.331	6.14	17.9%	3.7%	41	+2.53	3.50	170	75
Zack Segovia R 2016 · 3.33 FIP	33	SU	3.33	20.2%	5.9%	2.2%	.312	4.55	17.6%	4.0%	57	+1.22	3.33	144	75
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	74
Arcenio Leon R 2019 · 3.61 FIP	32	SU	3.61	21.4%	8.1%	2.4%	.314	—	—	—	—	—	3.00	115	74
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	74
Ross Ohlendorf R 2016 · 4.93 FIP	33	SU	4.93	23.4%	10.7%	4.5%	.254	—	—	—	—	—	3.30	122	74
Mark Serrano R 2019 · 5.25 FIP	33	SU	5.25	20.2%	7.9%	5.2%	.289	—	—	—	—	—	3.16	120	74
Juan Sandoval R 2015 · 3.82 FIP	34	SU	3.82	15.4%	6.0%	2.3%	.294	3.33	17.4%	8.8%	116	-0.49	3.24	225	73
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	72
Blake Wood R 2017 · 3.44 FIP	31	SU	3.44	25.3%	9.3%	2.4%	.364	—	—	—	—	—	2.92	210	72
Mark Lowe R 2016 · 5.40 FIP	33	SU	5.40	21.9%	8.5%	5.6%	.312	5.03	16.4%	6.4%	49	-0.37	2.37	153	72
Hector Navarro R 2015 · 4.35 FIP	35	SU	4.35	15.0%	5.4%	3.3%	.281	3.00	15.2%	9.0%	81	-1.35	2.30	126	72

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	48	19.9%	8.9%	1.39	4.70
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79