Josnier Parra

P Stockton Ports

Age 25 RHP 6'1" / 170 lbs A

Overview

APROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	ROKOAK	18	0	23	5.48	3.97	17.7%	6.2%	—	K 12.0% · BB 7.7% · FIP 5.46
2025	23	ROKOAK	12	9	47	6.65	3.08	12.8%	6.4%	—	K 8.7% · BB 8.0% · FIP 3.76
2026	24	MIX2 levels	25	6	59	6.75	4.51	22.3%	9.2%	—	K 15.5% · BB 11.0% · FIP 6.04
2027PROJ	25	MLBOAK	—	—	0	5.79	5.79	11.4%	12.0%	—
2028PROJ43% MLB	26	MLBOAK	17	0	18	5.58	5.54	13.8%	11.7%	-0.2
2029PROJ63% MLB	27	MLBOAK	21	0	22	5.49	5.49	14.5%	11.6%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff20Control50Command25

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsCooper Adams (age 24) · Clate Schmidt (age 25) · Zach Nuding (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 143135vR 127

ERA5.79

FIP5.79

K%11.4%

BB%12.0%

K-BB%-0.6%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF2020

CTRL5050

CMD2525

K†3030

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	21	ROK MLE	DSL Athletics	15	1	32	141	33	11	3	7%	2.1	15.9%	9.8%	6.2%	2.9%	4.22	4.56	—
2023	21	ROK RAW	DSL Athletics	15	1	32	141	33	11	3	7%	2.1	23.4%	7.8%	15.6%	2.1%	4.22	3.29	—
2024	22	ROK MLE	ACL Athletics	18	0	23	113	20	7	3	0%	1.3	12.0%	7.7%	4.3%	4.4%	5.48	5.46	—
2024	22	ROK MLE	ACL Athletics	18	0	23	113	20	7	3	0%	1.3	12.0%	7.7%	4.3%	4.4%	5.48	5.46	—
2024	22	ROK RAW	ACL Athletics	18	0	23	113	20	7	3	0%	1.3	17.7%	6.2%	11.5%	2.7%	5.48	3.97	—
2025	23	ROK MLE	ACL Athletics	12	9	47	218	28	14	1	75%	3.9	8.7%	8.0%	0.7%	0.7%	6.65	3.76	—
2025	23	ROK MLE	ACL Athletics	12	9	47	218	28	14	1	75%	3.9	8.7%	8.0%	0.7%	0.7%	6.65	3.76	—
2025	23	ROK RAW	ACL Athletics	12	9	47	218	28	14	1	75%	3.9	12.8%	6.4%	6.4%	0.5%	6.65	3.08	—
2026	24	MIX MLE	2 levels	25	6	59	273	61	25	10	24%	2.3	15.5%	11.0%	4.4%	5.2%	6.75	6.04	—
2026	24	MIX MLE	2 levels	25	6	59	273	61	25	10	24%	2.3	15.5%	11.0%	4.4%	5.2%	6.75	6.04	—
2026	24	MIX RAW	2 levels	25	6	59	273	61	25	10	24%	2.3	22.3%	9.2%	13.2%	3.7%	6.75	4.51	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	OAK	—	—	0	—	—	—	—	—	—	11.4%	12.0%	-0.6%	3.2%	5.79	5.79	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	OAK	40	0	42	179	25	21	6	0%	1.1	13.8%	11.7%	2.1%	3.2%	5.58	5.54	-0.5
2029	27	MLB MLE	OAK	34	0	36	151	22	18	5	0%	1.1	14.5%	11.6%	2.9%	3.2%	5.49	5.49	-0.4
2028	26	MLB CTX	OAK	17	0	18	76	10	9	2	0%	1.1	13.8%	11.7%	2.1%	3.2%	5.58	5.54	-0.2
2029	27	MLB CTX	OAK	21	0	22	93	13	11	3	0%	1.0	14.5%	11.6%	2.9%	3.2%	5.49	5.49	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		39	0	41	171	24	20	5	0%	1.0	14.2%	11.7%	2.5%	3.2%	5.53	5.13	-0.3
/ 200 IP	—	RAW		190	0	200	844	118	99	25	0%	1.1	14.2%	11.7%	2.5%	3.2%	5.53	5.13	-1.4
Career	—	MLE		70	16	161	745	97	70	25	23%	2.3	13.1%	9.4%	3.7%	3.3%	6.04	5.01	-0.9
/ 200 IP	—	MLE		87	20	200	925	121	87	31	23%	2.3	13.1%	9.4%	3.7%	3.3%	6.04	5.01	-2.2

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 AStockton Ports · 47 IPFIP 4.71 → 6.04 (+1.33)K% 20.9% → 15.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.89%	—	×0.740	15.46%
BB% (unintentional) /BF	9.33%	—	×1.180	11.01%
HR / BF /BF	4.00%	÷1.000	×1.300	5.20%

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 100).

Result: FIP 4.71 → 6.04, 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).

2026 ROKACL Athletics · 11 IPFIP 2.84 → 4.35 (+1.51)K% 29.2% → 19.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.17%	—	×0.680	19.83%
BB% (unintentional) /BF	8.33%	—	×1.250	10.42%
HR / BF /BF	2.08%	÷1.000	×1.400	2.92%

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 100).

Result: FIP 2.84 → 4.35, 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 ROKACL Athletics · 47 IPFIP 3.08 → 3.76 (+0.68)K% 12.8% → 8.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.84%	—	×0.680	8.73%
BB% (unintentional) /BF	6.42%	—	×1.250	8.03%
HR / BF /BF	0.46%	÷0.926	×1.400	0.69%

Result: FIP 3.08 → 3.76, 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 ROKACL Athletics · 23 IPFIP 3.85 → 5.46 (+1.61)K% 17.7% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.70%	—	×0.680	12.04%
BB% (unintentional) /BF	6.19%	—	×1.250	7.74%
HR / BF /BF	2.65%	÷0.852	×1.400	4.36%

Result: FIP 3.85 → 5.46, 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 Athletics · 32 IPFIP 3.28 → 4.56 (+1.29)K% 23.4% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.40%	—	×0.680	15.91%
BB% (unintentional) /BF	7.80%	—	×1.250	9.75%
HR / BF /BF	2.13%	÷1.039	×1.400	2.87%

Result: FIP 3.28 → 4.56, 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
Josnier Parra (OGILVIE)	—	—	5.79	11.4%	12.0%	3.2%	—	5.52	14.1%	2.4%	78	-0.27	—	—	—
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
Clate Schmidt R 2019 · 5.66 FIP	25	SU	5.66	13.5%	13.9%	3.5%	.290	—	—	—	—	—	3.51	160	83
Zach Nuding R 2015 · 4.76 FIP	25	SU	4.76	12.5%	10.5%	2.5%	.236	5.03	12.6%	3.3%	106	+0.27	4.76	146	82
Dillon McNamara R 2017 · 5.01 FIP	25	SW	5.01	13.3%	11.1%	3.0%	.229	3.00	21.2%	12.3%	69	-2.01	1.73	244	82
Ryan Vogelsong R 2001 · 5.34 FIP	24	SU	5.34	14.6%	11.6%	3.7%	.287	4.78	14.9%	5.7%	155	-0.56	3.14	1,184	81
Matt Roney R 2003 · 5.54 FIP	23	SW	5.54	10.5%	9.8%	3.8%	.249	—	—	—	—	—	5.54	101	81
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	81
Jarod Wright R 2022 · 5.73 FIP	25	SU	5.73	12.7%	13.2%	3.7%	.282	4.46	13.2%	3.8%	53	-1.27	4.46	170	80
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	80
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Fernando Cruz R 2015 · 5.29 FIP	25	SU	5.29	15.6%	12.2%	3.6%	.284	—	—	—	—	—	2.50	371	80
Kender Villegas R 2017 · 4.70 FIP	24	SU	4.70	13.3%	13.3%	1.9%	.269	—	—	—	—	—	3.26	131	80
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	79
James Pugliese R 2017 · 4.72 FIP	24	SW	4.72	12.5%	11.6%	2.2%	.226	—	—	—	—	—	2.52	218	79
John Kuchno R 2016 · 5.14 FIP	25	SU	5.14	10.2%	8.6%	3.3%	.275	—	—	—	—	—	2.43	162	79
Wuilder Rodriguez R 2018 · 5.25 FIP	25	SU	5.25	11.1%	10.4%	3.2%	.320	4.12	9.2%	1.0%	18	-1.13	3.03	249	78
Austin Amaral R 2024 · 5.94 FIP	22	SU	5.94	12.1%	14.4%	3.7%	.254	3.55	18.6%	6.3%	113	-2.39	3.53	136	78
Reece Karalus R 2018 · 4.73 FIP	24	SU	4.73	15.4%	11.9%	2.6%	.299	—	—	—	—	—	4.73	149	78
Conor Steinbaugh R 2024 · 4.74 FIP	25	SU	4.74	16.0%	9.9%	3.2%	.281	6.29	15.0%	2.1%	44	+1.55	4.74	111	78
Tom Reisinger R 2024 · 5.44 FIP	23	SW	5.44	12.1%	14.6%	2.8%	.381	6.49	10.3%	-5.6%	47	+1.05	5.44	110	78

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	0.7	46	13.0%	11.8%	1.23	5.65
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Greg Booker ('83-'90, -1 WAR*)	1.3	53	13.3%*	10.2%*	1.07*	4.51*