Guillo Zuñiga — OGILVIE

Guillo Zuñiga P Binghamton Rumble Ponies

Age 27 RHP 6'5" / 230 lbs AA

2026 ROS PROJECTION16 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 111

ERA4.71

FIP4.96

K%17.1%

BB%10.3%

K-BB%6.9%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 21 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF4545

CTRL4545

CMD4545

K†4040

Statcast Percentiles

FB Velo

p8496.9

Whiff%

p1620.5%

p1015.8%

xwOBA vs

p440.319

SI (35%)

CH (11%)

SL (22%)

FB-1.1 (68%)

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)
2016	17	ROK MLE	DSL Braves	5	0	10	43	9	2	2	0%	2.1	20.9%	4.7%	16.3%	4.7%	2.61	4.47	—
2016	17	ROK RAW	DSL Braves	5	0	10	43	9	2	2	0%	2.1	20.9%	4.7%	16.3%	4.7%	2.61	4.45	—
2017	18	ROK MLE	GCL Braves	8	6	19	96	12	10	0	75%	2.4	8.5%	13.0%	-4.5%	0.0%	5.59	4.03	—
2017	18	ROK RAW	GCL Braves	8	6	19	96	12	10	0	75%	2.4	12.5%	10.4%	2.1%	0.0%	5.59	3.41	—
2018	19	ROK MLE	AZL Dodgers	12	2	37	161	41	13	0	17%	3.1	17.3%	10.1%	7.2%	0.0%	3.86	2.92	—
2018	19	ROK RAW	AZL Dodgers	12	2	37	161	41	13	0	17%	3.1	25.5%	8.1%	17.4%	0.0%	3.86	1.95	—
2019	20	MIX MLE	2 levels	33	5	68	288	81	28	7	15%	2.1	21.0%	11.4%	9.6%	3.1%	4.08	4.48	—
2019	20	MIX RAW	2 levels	33	5	68	288	81	28	7	15%	2.1	28.1%	9.7%	18.4%	2.4%	4.08	3.29	—
2021	22	AA MLE	Tulsa Drillers	25	0	35	145	49	12	5	0%	1.4	27.4%	9.1%	18.3%	4.4%	3.06	4.37	—
2021	22	AA RAW	Tulsa Drillers	25	0	35	145	49	12	5	0%	1.4	33.8%	8.3%	25.5%	3.4%	3.06	3.18	—
2022	23	AA MLE	Tulsa Drillers	48	0	55	241	66	27	12	0%	1.1	22.2%	12.3%	9.9%	6.0%	4.77	6.09	—
2022	23	AA RAW	Tulsa Drillers	48	0	55	241	66	27	12	0%	1.1	27.4%	11.2%	16.2%	5.0%	4.77	5.02	—
2023	24	MIX MLE	2 levels	31	0	33	154	41	20	6	0%	1.1	21.0%	12.3%	8.7%	4.7%	7.44	5.48	-0.4
2023	24	MIX MLE	2 levels	31	0	33	154	41	20	6	0%	1.1	21.0%	12.3%	8.7%	4.7%	7.44	5.48	-0.4
2023	24	MIX RAW	2 levels	31	0	33	154	41	20	6	0%	1.1	26.6%	13.0%	13.6%	3.9%	7.44	4.81	-0.1
2024	25	MIX MLE	3 levels	43	2	46	199	31	15	9	5%	1.1	13.6%	7.1%	6.5%	5.3%	5.09	5.76	-0.6
2024	25	MIX MLE	3 levels	43	2	46	199	31	15	9	5%	1.1	13.6%	7.1%	6.5%	5.3%	5.09	5.76	-0.6
2024	25	MIX RAW	3 levels	43	2	46	199	31	15	9	5%	1.1	15.6%	7.5%	8.0%	4.5%	5.09	5.27	-0.4
2025	26	AAA MLE	Tacoma Rainiers	42	0	46	203	46	24	3	0%	1.1	18.8%	10.6%	8.2%	1.3%	5.24	3.60	—
2025	26	AAA MLE	Tacoma Rainiers	42	0	46	203	46	24	3	0%	1.1	18.8%	10.6%	8.2%	1.3%	5.24	3.60	—
2025	26	AAA RAW	Tacoma Rainiers	42	0	46	203	46	24	3	0%	1.1	22.7%	11.8%	10.8%	1.5%	5.24	3.51	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			18	0	21	88	17	7	5	0%	1.1	19.3%	8.0%	11.4%	5.7%	4.79	5.62	-0.3
▸ 2026 season
YTD	27	MLB MLE	New York Mets	17	0	16	76	22	16	0	0%	1.0	—	—	—	—	2.76	—	—
YTD	27	MLB MLE	New York Mets	17	0	16	76	22	16	0	0%	1.0	—	—	—	—	2.76	—	—
▸ 2026 season — so far · projected rest · full
2026	27	AA RAW	NYM	9	0	9	40	12	7	0	0%	1.0	30.0%	17.5%	12.5%	0.0%	1.93	2.78	—
2026	27	AAA RAW	NYM	7	0	6	32	9	8	0	0%	0.9	28.1%	25.0%	3.1%	0.0%	4.50	3.89	—
2026	27	MLB RAW	NYM	1	0	1	4	1	1	0	0%	1.0	25.0%	25.0%	0.0%	0.0%	0.00	4.16	—
SO FAR	27	MLB RAW	NYM	1	0	1	4	1	1	0	0%	1.0	25.0%	25.0%	0.0%	0.0%	0.00	4.16	—
ROS	27	MLB MLE	NYM	5	0	5	22	4	2	1	0%	1.0	17.1%	10.3%	6.9%	3.0%	4.71	4.96	-0.0
ROS	27	MLB CTX	NYM	5	0	5	21	4	2	1	0%	1.0	17.1%	10.3%	6.9%	3.0%	4.71	4.96	-0.0
2026 TOT	27	MLB MLE	NYM	—	—	21	98	26	18	1	—	—	26.3%	18.6%	7.7%	0.7%	3.22	1.19	+1.0
FULL	27	MLB A+C	NYM	—	—	6	26	26	18	1	—	—	98.9%	70.1%	28.8%	2.5%	11.25	4.99	+0.3
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	28	MLB MLE	NYM	53	0	55	233	41	24	7	0%	1.0	17.6%	10.3%	7.3%	3.1%	4.85	4.98	-0.3
2028	29	MLB MLE	NYM	50	0	53	223	39	23	7	0%	1.1	17.5%	10.4%	7.0%	3.2%	4.98	5.09	-0.3
2027	28	MLB CTX	NYM	50	0	52	220	39	23	7	0%	1.0	17.6%	10.3%	7.3%	3.1%	4.85	4.98	-0.3
2028	29	MLB CTX	NYM	48	0	50	211	37	22	7	0%	1.0	17.5%	10.4%	7.0%	3.2%	4.98	5.09	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		121	0	128	543	97	54	19	0%	1.1	17.8%	10.0%	7.9%	3.6%	4.89	4.81	-0.4
/ 200 IP	—	RAW		188	0	200	846	151	84	30	0%	1.1	17.8%	10.0%	7.9%	3.6%	4.89	4.81	-0.6
Career	—	MLE		264	15	367	1606	318	177	52	6%	1.4	19.8%	11.0%	8.8%	3.3%	4.61	4.62	-0.9
/ 200 IP	—	MLE		144	8	200	876	174	97	29	6%	1.4	19.8%	11.0%	8.8%	3.3%	4.61	4.62	-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
Guillo Zuñiga (OGILVIE)	—	—	4.96	17.1%	10.3%	3.0%	—	5.03	17.6%	7.2%	108	+0.07	—	—	—
Tanner Scheppers R 2015 · 4.37 FIP	28	SU	4.37	17.7%	11.2%	2.5%	.263	4.86	15.7%	9.0%	48	+0.49	4.37	101	88
Ryan Cook R 2015 · 4.73 FIP	28	SU	4.73	16.5%	9.9%	3.2%	.297	3.96	25.1%	14.3%	50	-0.77	3.96	102	87
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	84
Domingo Tapia R 2019 · 4.77 FIP	27	SU	4.77	15.2%	11.1%	2.8%	.314	3.89	18.1%	6.4%	115	-0.88	3.57	395	84
Gonzalez Germen R 2015 · 4.24 FIP	27	SU	4.24	18.0%	12.5%	1.9%	.296	3.88	19.2%	8.3%	54	-0.36	3.70	146	84
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	83
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.86	18.0%	10.2%	272	-1.00	3.52	390	82
David Martinez R 2015 · 3.92 FIP	27	SU	3.92	14.2%	8.3%	1.8%	.284	4.76	15.0%	7.9%	230	+0.84	3.92	297	82
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	81
Chris Beck R 2018 · 4.82 FIP	27	SU	4.82	17.4%	12.2%	3.0%	.305	5.28	18.1%	9.3%	41	+0.46	3.22	313	81
Rob Scahill R 2015 · 3.91 FIP	28	SU	3.91	16.9%	7.7%	2.3%	.288	3.34	17.9%	10.1%	171	-0.57	3.06	201	81
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	81
Ryan Doolittle R 2015 · 4.03 FIP	27	SU	4.03	15.1%	6.7%	2.5%	.315	4.38	13.9%	6.8%	44	+0.35	4.03	101	81
Armando Rivero R 2015 · 4.29 FIP	27	SU	4.29	18.7%	13.5%	1.9%	.256	2.70	32.9%	19.8%	68	-1.59	2.70	125	80
Tyler Mizenko R 2016 · 5.15 FIP	26	SU	5.15	13.3%	10.2%	3.5%	.303	—	—	—	—	—	3.66	104	80
Jonathan Hughes R 2023 · 4.31 FIP	26	SU	4.31	17.1%	9.2%	2.7%	.283	3.54	17.1%	4.9%	50	-0.77	3.44	219	80
Aaron Kurcz R 2017 · 4.84 FIP	26	SU	4.84	15.4%	8.4%	3.6%	.301	3.97	26.2%	21.8%	50	-0.87	3.31	213	80
Jose Casilla R 2016 · 4.65 FIP	27	SU	4.65	13.0%	8.0%	3.0%	.314	—	—	—	—	—	3.06	104	80
Michael Blazek R 2016 · 4.92 FIP	27	SU	4.92	17.9%	11.9%	3.3%	.336	4.43	17.5%	8.0%	124	-0.49	2.99	221	80
Guido Knudson R 2016 · 4.69 FIP	26	SU	4.69	17.5%	10.8%	3.1%	.235	—	—	—	—	—	3.50	106	80

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	55	17.4%	10.3%	1.19	4.84
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Robert Gsellman ('21)	1.7	67	18.4%	7.8%	0.96	4.38