Jonathan Pintaro

P Syracuse Mets

Age 29 RHP 6'2" / 235 lbs AAA

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX3 levels	17	15	74	2.68	2.74	24.4%	9.1%	—	K 18.9% · BB 9.4% · FIP 3.42
2025	27	MIX3 levels	29	16	83	4.46	3.67	28.8%	12.7%	1.7	K 24.1% · BB 12.0% · FIP 4.06
2026	28	MIX2 levels	47	0	71	4.56	3.92	25.8%	12.0%	0.5	K 23.6% · BB 11.4% · FIP 4.08
2027PROJ	29	MLBNYM	28	0	29	4.54	4.64	24.0%	12.6%	-0.0
2028PROJ78% MLB	30	MLBNYM	23	0	24	4.69	4.81	23.2%	12.6%	-0.1
2029PROJ82% MLB	31	MLBNYM	17	0	18	4.87	5.01	22.5%	12.7%	-0.1

Last 3 seasons WAR 2.2 · Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo65

K%55

xwOBA vs44

Form5.40 ERA (proj 4.54) · K 22.0% (proj 24.0%) · BB 15.9% (proj 12.6%) ▼ last 90d · 18 IP through Oct 27

Career WAR0.0 WAR median (P10 -0.1 / P90 0.7, comp-based) · star 0% · didn't stick 95%

CompsShintaro Fujinami (age 29) · Diego Moreno (age 29) · Dustin Molleken (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.54

FIP4.64

K%24.0%

BB%12.6%

K-BB%11.4%

Proj IP40

Value2027 · WAR

Runs saved vs league avg · 40 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p6595.6

Whiff%

p5325.7%

p5523.1%

xwOBA vs

p440.319

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)
2024	26	MIX MLE	3 levels	17	15	74	308	75	28	3	88%	4.4	18.9%	9.4%	9.5%	1.3%	2.68	3.42	—
2024	26	MIX MLE	3 levels	17	15	74	308	75	28	3	88%	4.4	18.9%	9.4%	9.5%	1.3%	2.68	3.42	—
2024	26	MIX RAW	3 levels	17	15	74	308	75	28	3	88%	4.4	24.4%	9.1%	15.3%	1.0%	2.68	2.74	—
2025	27	MIX MLE	3 levels	29	16	83	361	104	46	9	55%	2.9	24.1%	12.0%	12.1%	2.7%	4.46	4.06	+1.3
2025	27	MIX MLE	3 levels	29	16	83	361	104	46	9	55%	2.9	24.1%	12.0%	12.1%	2.7%	4.46	4.06	+1.3
2025	27	MIX RAW	3 levels	29	16	83	361	104	46	9	55%	2.9	28.8%	12.7%	16.1%	2.5%	4.46	3.67	+1.7
2026	28	MIX MLE	2 levels	47	0	71	299	77	36	8	0%	1.5	23.6%	11.4%	12.2%	2.8%	4.56	4.08	+0.4
2026	28	MIX MLE	2 levels	47	0	71	299	77	36	8	0%	1.5	23.6%	11.4%	12.2%	2.8%	4.56	4.08	+0.4
2026	28	MIX RAW	2 levels	47	0	71	299	77	36	8	0%	1.5	25.8%	12.0%	13.7%	2.7%	4.56	3.92	+0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			23	0	31	136	31	18	5	0%	1.4	22.8%	13.2%	9.6%	3.7%	5.74	4.92	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	NYM	28	0	29	122	29	15	4	0%	1.0	24.0%	12.6%	11.4%	2.9%	4.54	4.64	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	NYM	29	0	30	129	30	16	4	0%	1.1	23.2%	12.6%	10.7%	3.1%	4.69	4.81	-0.1
2029	31	MLB MLE	NYM	21	0	22	94	21	12	3	0%	1.1	22.5%	12.7%	9.8%	3.3%	4.87	5.01	-0.1
2028	30	MLB CTX	NYM	23	0	24	101	24	13	3	0%	1.0	23.2%	12.6%	10.7%	3.1%	4.69	4.81	-0.1
2029	31	MLB CTX	NYM	17	0	18	76	17	10	3	0%	1.1	22.5%	12.7%	9.8%	3.3%	4.87	5.01	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		63	0	73	313	72	40	11	0%	1.2	22.8%	12.9%	10.0%	3.4%	5.19	4.67	-0.1
/ 200 IP	—	RAW		172	0	200	855	196	109	30	0%	1.2	22.8%	12.9%	10.0%	3.4%	5.19	4.67	-0.3
Career	—	MLE		93	31	228	968	216	106	22	33%	2.4	22.3%	11.0%	11.3%	2.3%	3.91	3.86	-0.3
/ 200 IP	—	MLE		82	27	200	850	189	93	19	33%	2.4	22.3%	11.0%	11.3%	2.3%	3.91	3.86	-0.8

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 AAASyracuse Mets · 40 IPFIP 3.22 → 3.50 (+0.28)K% 27.8% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.81%	—	×0.860	23.92%
BB% (unintentional) /BF	11.83%	—	×0.900	10.65%
HR / BF /BF	1.78%	÷1.000	×1.100	1.95%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 3.22 → 3.50, 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 AAASyracuse Mets · 40 IPFIP 4.48 → 4.49 (+0.01)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	15.76%	—	×0.900	14.18%
HR / BF /BF	2.72%	÷1.167	×1.100	2.56%

Result: FIP 4.48 → 4.49, 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 AABinghamton Rumble Ponies · 42 IPFIP 2.68 → 3.60 (+0.92)K% 33.3% → 27.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.33%	—	×0.810	27.00%
BB% (unintentional) /BF	8.77%	—	×1.100	9.65%
HR / BF /BF	2.34%	÷0.990	×1.200	2.83%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 98).

Result: FIP 2.68 → 3.60, 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 A+Brooklyn Cyclones · 36 IPFIP 2.69 → 3.28 (+0.59)K% 22.9% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.88%	—	×0.770	17.61%
BB% (unintentional) /BF	9.15%	—	×1.150	10.52%
HR / BF /BF	0.65%	÷1.341	×1.250	0.61%

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 168).

Result: FIP 2.69 → 3.28, 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 AABinghamton Rumble Ponies · 34 IPFIP 2.73 → 3.58 (+0.85)K% 25.0% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.810	20.25%
BB% (unintentional) /BF	7.35%	—	×1.100	8.09%
HR / BF /BF	1.47%	÷0.834	×1.200	2.12%

Result: FIP 2.73 → 3.58, 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
Jonathan Pintaro (OGILVIE)	—	—	—	—	—	2.9%	—	4.89	22.9%	10.3%	53	+0.25	—	—	—
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.49	22.0%	0.2%	51	+0.40	4.09	130	74
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	70
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	70
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	70
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	70
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	69
Jason Bulger R 2008 · 4.60 FIP	29	SU	4.60	27.4%	12.3%	4.1%	.293	3.94	25.1%	13.3%	90	-0.66	3.78	106	67
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	67
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	67
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	67
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	66
Alex Powers R 2021 · 4.24 FIP	29	SU	4.24	25.0%	10.3%	3.5%	.312	—	—	—	—	—	2.82	264	66
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	65
Jake Cousins R 2023 · 4.38 FIP	29	SU	4.38	27.3%	11.4%	3.9%	.379	3.42	34.2%	21.9%	38	-0.96	1.11	160	65
Pedro Báez R 2017 · 4.08 FIP	29	SU	4.08	22.9%	9.6%	3.1%	.261	3.18	24.7%	16.1%	143	-0.90	2.29	356	65
Cody Hall R 2017 · 4.03 FIP	29	SU	4.03	26.8%	10.0%	3.5%	.299	3.92	25.9%	8.4%	19	-0.11	3.51	134	65
Jose Veras R 2010 · 4.10 FIP	29	SU	4.10	26.9%	14.4%	2.6%	.239	3.42	25.3%	14.8%	201	-0.68	3.37	422	64
Ryan Brasier R 2016 · 3.68 FIP	28	SU	3.68	25.0%	7.7%	3.1%	.289	3.09	24.2%	17.9%	130	-0.59	2.31	426	64
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	64
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	64

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	0.6	31	23.2%	12.8%	1.25	4.94
John Hudek ('99)	1.0	40	23.0%	13.7%	1.30	4.43
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Tim Byrdak ('13)	1.7	42	21.4%	13.3%	1.22	4.35
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82