Gilberto Batista

P Vancouver Canadians

Age 22 RHP 6'0" / 165 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	19	MIX2 levels	12	8	37	3.38	2.91	23.9%	9.2%	—	K 16.9% · BB 11.4% · FIP 4.00
2025	20	ATOR	23	8	85	4.96	4.21	22.4%	5.9%	—	K 16.6% · BB 7.0% · FIP 4.83
2026	21	A+TOR	31	4	87	7.86	5.92	16.8%	11.0%	—	K 12.9% · BB 12.7% · FIP 6.87
2027PROJ	22	MLBTOR	—	—	0	5.87	5.87	12.6%	10.9%	—
2028PROJ49% MLB	23	MLBTOR	28	0	29	5.58	5.49	15.2%	10.2%	-0.3
2029PROJ70% MLB	24	MLBTOR	39	0	41	5.35	5.25	16.6%	9.7%	-0.3

Next 3 projected WAR -0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control55Command45

Career WAR0.0 WAR median (P10 -0.4 / P90 0.0, comp-based) · star 0% · didn't stick 97%

CompsChance Huff (age 23) · Tyler Peyton (age 23) · Cooper Adams (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 145137vR 128

ERA5.87

FIP5.87

K%12.6%

BB%10.9%

K-BB%1.6%

Proj IP57

Value2027 · WAR

Runs saved vs league avg · 57 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL5555

CMD4545

K†3045

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 the standard WAR scale.

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 + 2027 so far)
2023	18	ROK MLE	DSL Red Sox Red	11	9	41	161	54	8	3	82%	3.7	22.8%	6.2%	16.6%	3.0%	3.54	3.63	—
2023	18	ROK RAW	DSL Red Sox Red	11	9	41	161	54	8	3	82%	3.7	33.5%	5.0%	28.6%	1.9%	3.54	1.99	—
2024	19	MIX MLE	2 levels	12	8	37	163	39	15	2	67%	3.1	16.9%	11.4%	5.4%	1.6%	3.38	4.00	—
2024	19	MIX MLE	2 levels	12	8	37	163	39	15	2	67%	3.1	16.9%	11.4%	5.4%	1.6%	3.38	4.00	—
2024	19	MIX RAW	2 levels	12	8	37	163	39	15	2	67%	3.1	23.9%	9.2%	14.7%	1.2%	3.38	2.91	—
2025	20	A MLE	Dunedin Blue Jays	23	8	85	371	83	22	15	35%	3.7	16.6%	7.0%	9.6%	4.1%	4.96	4.83	—
2025	20	A MLE	Dunedin Blue Jays	23	8	85	371	83	22	15	35%	3.7	16.6%	7.0%	9.6%	4.1%	4.96	4.83	—
2025	20	A RAW	Dunedin Blue Jays	23	8	85	371	83	22	15	35%	3.7	22.4%	5.9%	16.4%	4.0%	4.96	4.21	—
2026	21	A+ MLE	Vancouver Canadians	31	4	87	400	67	44	19	13%	2.8	12.9%	12.7%	0.2%	5.9%	7.86	6.87	—
2026	21	A+ MLE	Vancouver Canadians	31	4	87	400	67	44	19	13%	2.8	12.9%	12.7%	0.2%	5.9%	7.86	6.87	—
2026	21	A+ RAW	Vancouver Canadians	31	4	87	400	67	44	19	13%	2.8	16.8%	11.0%	5.8%	4.8%	7.86	5.92	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	22	MLB	TOR	—	—	0	—	—	—	—	—	—	12.6%	10.9%	1.6%	3.8%	5.87	5.87	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	23	MLB MLE	TOR	56	0	59	247	37	25	9	0%	1.0	15.2%	10.2%	5.0%	3.6%	5.58	5.49	-0.6
2029	24	MLB MLE	TOR	56	0	59	247	41	24	9	0%	1.0	16.6%	9.7%	7.0%	3.6%	5.35	5.25	-0.5
2030	25	MLB MLE	TOR	48	0	50	212	37	20	7	0%	1.0	17.5%	9.4%	8.1%	3.5%	5.20	5.12	-0.3
2031	26	MLB MLE	TOR	47	0	50	210	37	19	7	0%	1.1	17.9%	9.3%	8.6%	3.5%	5.12	5.07	-0.3
2032	27	MLB MLE	TOR	46	0	48	204	36	19	7	0%	1.1	17.8%	9.4%	8.5%	3.6%	5.12	5.11	-0.3
2033	28	MLB MLE	TOR	44	0	46	195	34	19	7	0%	1.0	17.7%	9.5%	8.2%	3.7%	5.17	5.20	-0.3
2034	29	MLB MLE	TOR	43	0	45	191	37	17	7	0%	1.1	19.5%	8.9%	10.5%	3.8%	5.10	5.06	-0.3
2035	30	MLB MLE	TOR	39	0	41	175	33	16	7	0%	1.1	19.1%	9.2%	9.9%	4.0%	5.18	5.23	-0.3
2028	23	MLB CTX	TOR	28	0	29	122	19	12	4	0%	1.0	15.2%	10.2%	5.0%	3.6%	5.58	5.49	-0.3
2029	24	MLB CTX	TOR	39	0	41	173	29	17	6	0%	1.1	16.6%	9.7%	7.0%	3.6%	5.35	5.25	-0.3
2030	25	MLB CTX	TOR	39	0	41	173	30	16	6	0%	1.1	17.5%	9.4%	8.1%	3.5%	5.20	5.12	-0.3
2031	26	MLB CTX	TOR	41	0	43	182	32	17	6	0%	1.0	17.9%	9.3%	8.6%	3.5%	5.12	5.07	-0.3
2032	27	MLB CTX	TOR	42	0	44	186	33	17	7	0%	1.0	17.8%	9.4%	8.5%	3.6%	5.12	5.11	-0.3
2033	28	MLB CTX	TOR	40	0	42	177	31	17	6	0%	1.1	17.7%	9.5%	8.2%	3.7%	5.17	5.20	-0.3
2034	29	MLB CTX	TOR	40	0	42	177	35	16	7	0%	1.1	19.5%	8.9%	10.5%	3.8%	5.10	5.06	-0.2
2035	30	MLB CTX	TOR	37	0	39	165	32	15	7	0%	1.1	19.1%	9.2%	9.9%	4.0%	5.18	5.23	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		306	0	321	1356	241	128	50	0%	1.0	17.8%	9.4%	8.3%	3.7%	5.21	4.80	-0.9
/ 200 IP	—	RAW		190	0	200	844	150	80	31	0%	1.1	17.8%	9.4%	8.3%	3.7%	5.21	4.80	-0.6
Career	—	MLE		77	29	250	1095	177	105	46	38%	3.3	16.2%	9.6%	6.6%	4.2%	5.50	5.28	-3.0
/ 200 IP	—	MLE		62	23	200	875	142	84	37	38%	3.3	16.2%	9.6%	6.6%	4.2%	5.50	5.28	-1.5

How the minor-league lines were translated

One row per minor-league stint. Open a row to see each step: the raw rate, the park adjustment, the league/level factor, the age adjustment (hitters) and the resulting MLE rate. Factors are the same ones listed on the MLE Factors page.

2026 A+Vancouver Canadians · 87 IPFIP 5.69 → 6.87 (+1.19)K% 16.8% → 12.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.75%	—	×0.770	12.90%
BB% (unintentional) /BF	11.00%	—	×1.150	12.65%
HR / BF /BF	4.75%	÷1.000	×1.250	5.94%

Factors used: pitcher A+ level factors — K ×0.77, BB ×1.15, HR ×1.25. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 100).

Result: FIP 5.69 → 6.87, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2025 ADunedin Blue Jays · 85 IPFIP 4.18 → 4.83 (+0.65)K% 22.4% → 16.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.37%	—	×0.740	16.56%
BB% (unintentional) /BF	5.93%	—	×1.180	7.00%
HR / BF /BF	4.04%	÷1.284	×1.300	4.09%

Factors used: pitcher A level factors — K ×0.74, BB ×1.18, HR ×1.30. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 157).

Result: FIP 4.18 → 4.83, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ROKFCL Red Sox · 21 IPFIP 2.79 → 3.88 (+1.09)K% 24.2% → 16.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.21%	—	×0.680	16.46%
BB% (unintentional) /BF	13.68%	—	×1.250	17.11%
HR / BF /BF	0.00%	÷0.952	×1.400	0.00%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 90).

Result: FIP 2.79 → 3.88, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2024 ADunedin Blue Jays · 17 IPFIP 3.10 → 4.16 (+1.06)K% 23.5% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.53%	—	×0.740	17.41%
BB% (unintentional) /BF	2.94%	—	×1.180	3.47%
HR / BF /BF	2.94%	÷1.003	×1.300	3.81%

Result: FIP 3.10 → 4.16, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

2023 ROKDSL Red Sox Red · 41 IPFIP 1.92 → 3.63 (+1.71)K% 33.5% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.54%	—	×0.680	22.81%
BB% (unintentional) /BF	4.97%	—	×1.250	6.21%
HR / BF /BF	1.86%	÷0.856	×1.400	3.05%

Result: FIP 1.92 → 3.63, computed from the rates in the table with the same formula before and after. The MLE line is not regressed to the mean — regression is applied when seasons are blended into a projection (how).

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
Gilberto Batista (OGILVIE)	—	—	5.87	12.6%	10.9%	3.8%	—	5.29	16.4%	6.6%	168	-0.58	—	—	—
Chance Huff R 2023 · 5.57 FIP	23	SW	5.57	11.8%	11.4%	3.7%	.312	5.08	15.7%	0.2%	155	-0.49	4.31	238	90
Tyler Peyton R 2017 · 5.25 FIP	23	SW	5.25	11.1%	10.5%	3.2%	.298	4.44	12.8%	1.6%	115	-0.81	3.86	183	87
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	86
Jheyson Caraballo R 2017 · 5.25 FIP	21	SW	5.25	11.9%	10.6%	3.3%	.322	—	—	—	—	—	3.39	101	86
Justin Ferrell R 2016 · 5.30 FIP	22	SW	5.30	14.9%	14.0%	3.1%	.261	4.34	20.4%	9.1%	173	-0.96	3.83	300	85
Zach Mort R 2019 · 5.01 FIP	22	SW	5.01	10.7%	12.3%	2.3%	.240	5.35	17.0%	8.8%	176	+0.34	4.95	237	84
Paulshawn Pasqualotto R 2024 · 4.84 FIP	23	SW	4.84	15.6%	9.5%	3.4%	.354	3.77	20.2%	10.8%	111	-1.07	3.73	186	84
Kyle Smith R 2016 · 5.05 FIP	23	SW	5.05	14.7%	8.7%	3.8%	.326	3.31	15.2%	9.5%	76	-1.74	3.31	159	83
Joe Nahas R 2022 · 5.13 FIP	22	SW	5.13	15.2%	12.3%	3.2%	.270	4.66	16.6%	5.9%	149	-0.47	4.33	328	83
Seth McClung R 2003 · 5.63 FIP	22	SW	5.63	15.0%	14.4%	3.6%	.241	5.29	15.3%	2.8%	212	-0.34	2.52	430	83
Huei-Sheng Lin R 2021 · 4.71 FIP	22	SW	4.71	15.4%	8.7%	3.3%	.310	6.28	16.6%	1.7%	52	+1.57	4.59	120	82
Garrett Nuss R 2015 · 5.71 FIP	22	SW	5.71	14.1%	14.9%	3.5%	.352	4.58	15.0%	5.3%	92	-1.13	4.57	174	81
Daniel Concepcion R 2016 · 5.87 FIP	22	SW	5.87	13.0%	10.6%	4.6%	.271	—	—	—	—	—	3.84	110	81
Axel Rios R 2016 · 4.70 FIP	23	SW	4.70	13.1%	13.5%	1.8%	.333	4.06	15.2%	3.2%	97	-0.64	3.50	153	81
Jorge Cespedes R 2018 · 5.07 FIP	22	SW	5.07	12.6%	7.9%	3.7%	.285	—	—	—	—	—	3.47	153	80
Lance Cormier R 2004 · 6.78 FIP	23	SW	6.78	11.0%	10.6%	6.0%	.310	4.99	14.8%	4.9%	199	-1.79	3.80	469	80
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	80
Gabriel Valdez R 2018 · 4.74 FIP	22	SW	4.74	14.7%	10.2%	2.9%	.255	8.33	13.7%	-1.4%	28	+3.59	1.93	244	80
Yunior Montero R 2015 · 4.82 FIP	22	SW	4.82	16.9%	14.1%	2.5%	.276	4.58	21.5%	6.2%	91	-0.24	3.65	127	80
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	80

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,234 reliever careers (754 from 1990-2025 + 480 historical, 1901-2023), also matched on career-to-date at the same age. * Historical (Lahman) careers: rates era-adjusted to 2001-24 league levels; WAR is an OGILVIE proxy.

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	2.3	51	16.9%	9.7%	1.42	5.32
Lance Painter ('03)	2.2	56	16.7%	9.0%	1.32	5.24
Drew VerHagen ('23)	1.4	47	19.1%	9.4%	1.37	4.98
Mike Lincoln ('10)	1.9	54	14.1%	8.9%	1.32	5.33
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*