Stephen Gonsalves

Stephen Gonsalves P Albuquerque Isotopes

Age 32 LHP 6'5" / 218 lbs AAA

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

showingROS

wRC+ AGAINSTvL 138147vR 155

ERA6.45

FIP6.40

K%16.8%

BB%22.3%

K-BB%-5.5%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 5 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF3535

CTRL2020

CMD2020

K†4040

Statcast Percentiles

FB Velo

p1089.8

Whiff%

p1016.8%

p1013.1%

xwOBA vs

p100.411

FB+0.5

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	21	MIX MLE	2 levels	24	24	134	542	132	53	4	100%	5.6	18.3%	11.3%	7.0%	0.8%	2.01	3.45	—
2015	21	MIX RAW	2 levels	24	24	134	542	132	53	4	100%	5.6	24.4%	9.8%	14.6%	0.7%	2.01	2.71	—
2016	22	MIX MLE	2 levels	24	24	140	549	155	57	3	100%	5.8	22.4%	11.6%	10.8%	0.7%	2.06	3.06	—
2016	22	MIX RAW	2 levels	24	24	140	549	155	57	3	100%	5.8	28.2%	10.4%	17.9%	0.5%	2.06	2.39	—
2017	23	MIX MLE	2 levels	20	19	110	453	118	31	11	95%	5.5	21.4%	7.4%	14.0%	2.9%	3.27	3.83	—
2017	23	MIX RAW	2 levels	20	19	110	453	118	31	11	95%	5.5	26.0%	6.8%	19.2%	2.4%	3.27	3.10	—
2018	24	MIX MLE	3 levels	30	26	145	609	136	87	10	87%	4.8	19.7%	14.9%	4.8%	2.0%	3.41	4.40	+0.8
2018	24	MIX RAW	3 levels	30	26	145	609	136	87	10	87%	4.8	22.3%	14.3%	8.0%	1.6%	3.41	3.92	+1.7
2019	25	MIX MLE	3 levels	8	6	13	55	21	7	3	75%	1.6	38.2%	12.7%	25.5%	5.5%	4.15	4.48	—
2019	25	MIX RAW	3 levels	8	6	13	55	21	7	3	75%	1.6	38.2%	12.7%	25.5%	5.5%	4.15	4.48	—
2021	27	MIX MLE	2 levels	25	10	77	348	107	54	13	40%	3.1	27.5%	16.5%	10.9%	3.3%	4.66	4.68	-0.1
2021	27	MIX RAW	2 levels	25	10	77	348	107	54	13	40%	3.1	30.7%	15.5%	15.2%	3.7%	4.66	4.61	-0.1
2022	28	AAA MLE	Iowa Cubs	8	0	13	60	21	11	2	0%	1.6	30.8%	19.2%	11.5%	3.7%	4.26	4.96	—
2022	28	AAA RAW	Iowa Cubs	8	0	13	60	21	11	2	0%	1.6	35.0%	18.3%	16.7%	3.3%	4.26	4.44	—
2023	29	MIX MLE	4 levels	22	5	28	126	44	22	3	23%	1.3	27.3%	22.5%	4.8%	1.5%	5.72	4.47	—
2023	29	MIX MLE	4 levels	22	5	28	126	44	22	3	23%	1.3	27.3%	22.5%	4.8%	1.5%	5.72	4.47	—
2023	29	MIX RAW	4 levels	22	5	28	126	44	22	3	23%	1.3	34.9%	17.5%	17.5%	2.4%	5.72	3.70	—
2024	30	MIX MLE	2 levels	33	0	36	183	48	43	5	0%	1.1	21.6%	21.4%	0.2%	2.3%	6.75	5.23	—
2024	30	MIX MLE	2 levels	33	0	36	183	48	43	5	0%	1.1	21.6%	21.4%	0.2%	2.3%	6.75	5.23	—
2024	30	MIX RAW	2 levels	33	0	36	183	48	43	5	0%	1.1	26.2%	23.5%	2.7%	2.7%	6.75	5.82	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			10	4	29	140	20	24	2	40%	2.9	14.3%	17.1%	-2.9%	1.4%	6.21	5.10	-0.2
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	COL	1	1	5	21	4	5	1	100%	5.0	16.8%	22.3%	-5.5%	2.8%	6.45	6.40	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	COL	8	8	50	211	35	45	6	100%	6.2	16.6%	21.4%	-4.8%	3.1%	6.38	6.48	-0.8
2028	34	MLB MLE	COL	7	7	45	192	31	40	6	100%	6.5	16.2%	21.0%	-4.8%	3.4%	6.46	6.62	-0.8
2029	35	MLB MLE	COL	7	7	41	172	27	36	6	100%	5.8	15.6%	21.0%	-5.3%	3.7%	6.64	6.84	-0.8
2027	33	MLB CTX	COL	3	3	18	76	13	16	2	100%	6.0	16.6%	21.4%	-4.8%	3.1%	6.38	6.48	-0.3
2028	34	MLB CTX	COL	2	2	15	63	10	13	2	100%	7.5	16.2%	21.0%	-4.8%	3.4%	6.46	6.62	-0.3
2029	35	MLB CTX	COL	2	2	11	46	7	10	2	100%	5.5	15.6%	21.0%	-5.3%	3.7%	6.64	6.84	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		17	11	73	327	50	64	8	65%	4.3	15.4%	19.4%	-4.0%	2.5%	6.37	5.64	-0.6
/ 200 IP	—	RAW		47	31	200	892	136	175	22	65%	4.3	15.4%	19.4%	-4.0%	2.5%	6.37	5.64	-1.7
Career	—	MLE		194	114	697	2925	648	393	56	59%	3.6	22.2%	13.4%	8.7%	1.9%	3.28	3.99	-2.7
/ 200 IP	—	MLE		56	33	200	839	186	113	16	59%	3.6	22.2%	13.4%	8.7%	1.9%	3.28	3.99	-3.2

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
Stephen Gonsalves (OGILVIE)	—	—	6.40	16.8%	22.3%	2.8%	—	6.63	16.2%	-4.9%	136	+0.23	—	—	—
Paul Oseguera L 2016 · 5.62 FIP	32	SP	5.62	5.6%	12.5%	2.6%	.320	—	—	—	—	—	3.83	162	53
Travis Wood L 2017 · 5.48 FIP	30	SW	5.48	14.9%	10.3%	4.2%	.322	—	—	—	—	—	3.25	256	49
Matt Moore L 2021 · 5.39 FIP	32	SP-	5.39	19.6%	10.8%	4.7%	.288	3.77	25.2%	15.4%	175	-1.62	2.80	861	49
Kelvin Marte L 2019 · 5.25 FIP	31	SP	5.25	12.0%	10.8%	3.3%	.340	—	—	—	—	—	3.44	360	47
Anthony Vasquez L 2019 · 6.00 FIP	32	SW	6.00	14.6%	7.3%	5.9%	.383	—	—	—	—	—	4.02	642	45
Brad Mills L 2016 · 6.13 FIP	31	SP	6.13	14.4%	11.8%	5.0%	.299	—	—	—	—	—	4.63	182	44
Jonathon Niese L 2019 · 5.67 FIP	32	SP	5.67	10.9%	8.2%	4.5%	.299	—	—	—	—	—	4.16	368	41
John Danks L 2016 · 5.84 FIP	31	SP	5.84	16.0%	11.0%	4.9%	.338	—	—	—	—	—	4.33	200	35
Rodolfo Aguirre R 2017 · 5.96 FIP	32	SW	5.96	10.0%	13.0%	3.8%	.316	4.50	21.3%	16.2%	15	-1.46	3.39	212	32
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	32
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	29
Bradin Hagens R 2019 · 5.46 FIP	30	SW	5.46	13.2%	12.6%	3.4%	.303	—	—	—	—	—	3.79	254	29
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	29
Pat Dean L 2019 · 6.96 FIP	30	SP	6.96	11.8%	6.0%	7.5%	.351	—	—	—	—	—	3.63	424	27
Junior Guerra R 2017 · 5.24 FIP	32	SP-	5.24	19.4%	12.8%	3.9%	.255	3.99	22.2%	12.5%	248	-1.25	3.18	646	27
Seth Frankoff R 2021 · 7.41 FIP	32	SP-	7.41	18.8%	13.5%	7.6%	.324	—	—	—	—	—	2.88	263	27
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.12	265	27
Brett Cecil L 2018 · 5.57 FIP	32	SU	5.57	12.1%	12.7%	3.4%	.301	—	—	—	—	—	1.96	191	26
Seth Simmons R 2018 · 6.20 FIP	30	SW	6.20	13.3%	10.9%	5.2%	.242	—	—	—	—	—	3.07	251	25
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	24

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	16.4%	21.5%	1.23	6.47
Touki Toussaint ('24)	1.4	40	23.1%	14.1%	1.25	5.39
Amir Garrett ('23)	1.5	51	25.8%	13.4%	1.50	5.10
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
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