Josh White

P Jacksonville Jumbo Shrimp

Age 26 RHP 6'1" / 205 lbs AAA peak 0.2 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	40	3	60	3.02	2.55	31.9%	10.0%	—	K 24.5% · BB 11.4% · FIP 3.39
2025	24	MIX2 levels	45	2	68	1.86	1.34	40.8%	8.8%	—	K 34.2% · BB 8.8% · FIP 1.84
2026	25	MIX2 levels	37	1	57	3.18	4.51	26.5%	14.3%	0.0	K 23.2% · BB 11.7% · FIP 4.47
2027PROJ	26	MLBMIA	44	0	46	4.24	4.24	27.6%	12.2%	0.2
2028PROJ77% MLB	27	MLBMIA	44	0	46	4.27	4.29	27.1%	11.9%	0.1
2029PROJ84% MLB	28	MLBMIA	43	0	45	4.33	4.37	26.7%	11.9%	0.1

Last 3 seasons WAR 0.0 · Next 3 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 -0.3 / P90 2.4, comp-based) · star 0% · didn't stick 90%

CompsZach Franklin (age 25) · Michael Flynn (age 26) · Chaz Roe (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 114106vR 98

ERA4.24

FIP4.24

K%27.6%

BB%12.2%

K-BB%15.4%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

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)
2022	21	MIX MLE	2 levels	9	0	11	57	16	8	1	0%	1.2	28.1%	14.0%	14.0%	1.8%	6.55	3.47	—
2022	21	MIX RAW	2 levels	9	0	11	57	16	8	1	0%	1.2	28.1%	14.0%	14.0%	1.8%	6.55	3.55	—
2023	22	MIX MLE	2 levels	30	9	65	276	65	33	6	30%	2.2	17.7%	13.9%	3.8%	3.2%	3.46	5.12	—
2023	22	MIX RAW	2 levels	30	9	65	276	65	33	6	30%	2.2	23.6%	12.0%	11.6%	2.2%	3.46	3.82	—
2024	23	MIX MLE	2 levels	40	3	60	251	80	25	4	8%	1.5	24.5%	11.4%	13.1%	1.7%	3.02	3.39	—
2024	23	MIX MLE	2 levels	40	3	60	251	80	25	4	8%	1.5	24.5%	11.4%	13.1%	1.7%	3.02	3.39	—
2024	23	MIX RAW	2 levels	40	3	60	251	80	25	4	8%	1.5	31.9%	10.0%	21.9%	1.6%	3.02	2.55	—
2025	24	MIX MLE	2 levels	45	2	68	262	107	23	2	4%	1.5	34.2%	8.8%	25.4%	0.9%	1.86	1.84	—
2025	24	MIX MLE	2 levels	45	2	68	262	107	23	2	4%	1.5	34.2%	8.8%	25.4%	0.9%	1.86	1.84	—
2025	24	MIX RAW	2 levels	45	2	68	262	107	23	2	4%	1.5	40.8%	8.8%	32.1%	0.8%	1.86	1.34	—
2026	25	MIX MLE	2 levels	37	1	57	238	63	34	8	3%	1.5	23.2%	11.7%	11.4%	3.3%	3.18	4.47	+0.1
2026	25	MIX MLE	2 levels	37	1	57	238	63	34	8	3%	1.5	23.2%	11.7%	11.4%	3.3%	3.18	4.47	+0.1
2026	25	MIX RAW	2 levels	37	1	57	238	63	34	8	3%	1.5	26.5%	14.3%	12.2%	3.4%	3.18	4.51	+0.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			1	0	1	8	1	4	1	0%	0.7	12.5%	50.0%	-37.5%	12.5%	67.50	37.60	-0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	MIA	44	0	46	194	54	24	5	0%	1.0	27.6%	12.2%	15.4%	2.8%	4.24	4.24	+0.2
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	MIA	56	0	59	250	68	30	7	0%	1.1	27.1%	11.9%	15.2%	2.9%	4.27	4.29	+0.2
2029	28	MLB MLE	MIA	50	0	53	224	60	27	7	0%	1.1	26.7%	11.9%	14.8%	3.0%	4.33	4.37	+0.1
2030	29	MLB MLE	MIA	46	0	48	203	53	24	6	0%	1.0	26.3%	12.0%	14.3%	3.1%	4.43	4.50	+0.0
2028	27	MLB CTX	MIA	44	0	46	194	53	23	6	0%	1.0	27.1%	11.9%	15.2%	2.9%	4.27	4.29	+0.1
2029	28	MLB CTX	MIA	43	0	45	190	51	23	6	0%	1.0	26.7%	11.9%	14.8%	3.0%	4.33	4.37	+0.1
2030	29	MLB CTX	MIA	40	0	42	177	47	21	6	0%	1.1	26.3%	12.0%	14.3%	3.1%	4.43	4.50	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		127	0	133	567	150	71	18	0%	1.0	26.5%	12.5%	14.1%	3.1%	4.66	4.16	+0.6
/ 200 IP	—	RAW		191	0	200	852	226	107	27	0%	1.0	26.5%	12.5%	14.1%	3.1%	4.66	4.16	+0.9
Career	—	MLE		161	15	260	1084	271	126	24	9%	1.6	25.0%	11.6%	13.4%	2.2%	3.01	3.70	+0.1
/ 200 IP	—	MLE		124	12	200	834	208	97	19	9%	1.6	25.0%	11.6%	13.4%	2.2%	3.01	3.70	+0.1

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 AAAJacksonville Jumbo Shrimp · 56 IPFIP 4.15 → 4.47 (+0.32)K% 27.0% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.96%	—	×0.860	23.18%
BB% (unintentional) /BF	13.04%	—	×0.900	11.74%
HR / BF /BF	3.04%	÷1.000	×1.100	3.35%

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 4.15 → 4.47, 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 AAAJacksonville Jumbo Shrimp · 39 IPFIP 1.59 → 2.10 (+0.50)K% 37.0% → 31.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.01%	—	×0.860	31.83%
BB% (unintentional) /BF	7.14%	—	×0.900	6.43%
HR / BF /BF	1.30%	÷0.903	×1.100	1.58%

Result: FIP 1.59 → 2.10, 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 AAPensacola Blue Wahoos · 28 IPFIP 0.60 → 1.48 (+0.88)K% 46.3% → 37.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	46.30%	—	×0.810	37.50%
BB% (unintentional) /BF	11.11%	—	×1.100	12.22%
HR / BF /BF	0.00%	÷1.103	×1.200	0.00%

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 121).

Result: FIP 0.60 → 1.48, 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+Beloit Sky Carp · 58 IPFIP 2.35 → 3.39 (+1.04)K% 31.8% → 24.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.82%	—	×0.770	24.50%
BB% (unintentional) /BF	9.92%	—	×1.150	11.40%
HR / BF /BF	1.24%	÷0.935	×1.250	1.66%

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 87).

Result: FIP 2.35 → 3.39, 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 A+Beloit Sky Carp · 31 IPFIP 5.09 → 6.32 (+1.23)K% 15.0% → 11.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	15.00%	—	×0.770	11.55%
BB% (unintentional) /BF	16.43%	—	×1.150	18.89%
HR / BF /BF	2.14%	÷0.817	×1.250	3.28%

Result: FIP 5.09 → 6.32, 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 AJupiter Hammerheads · 34 IPFIP 2.51 → 3.88 (+1.37)K% 32.4% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.35%	—	×0.740	23.94%
BB% (unintentional) /BF	7.35%	—	×1.180	8.68%
HR / BF /BF	2.21%	÷0.924	×1.300	3.10%

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 85).

Result: FIP 2.51 → 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).

2022 AJupiter Hammerheads · 7 IPFIP 2.51 → 3.44 (+0.93)K% 27.8% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.78%	—	×0.740	20.56%
BB% (unintentional) /BF	13.89%	—	×1.180	16.39%
HR / BF /BF	0.00%	÷0.959	×1.300	0.00%

Result: FIP 2.51 → 3.44, 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).

2022 ROKFCL Marlins · 4 IPFIP 5.11 → 8.01 (+2.90)K% 28.6% → 19.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.57%	—	×0.680	19.43%
BB% (unintentional) /BF	14.29%	—	×1.250	17.86%
HR / BF /BF	4.76%	÷0.852	×1.400	7.82%

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 70).

Result: FIP 5.11 → 8.01, 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
Josh White (OGILVIE)	—	—	—	—	—	2.8%	—	4.38	26.7%	14.8%	160	+0.14	—	—	—
Zach Franklin R 2024 · 3.24 FIP	25	SU	3.24	26.4%	10.9%	1.8%	.301	4.15	27.5%	18.3%	117	+0.91	3.24	158	83
Michael Flynn R 2023 · 4.31 FIP	26	SU	4.31	26.5%	11.2%	3.7%	.299	4.36	21.4%	10.8%	92	+0.05	3.89	168	83
Chaz Roe R 2013 · 4.02 FIP	26	SU	4.02	25.3%	10.5%	3.1%	.259	2.81	24.6%	16.2%	133	-1.21	1.72	279	82
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	82
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	81
Josh Roenicke R 2009 · 3.25 FIP	26	SU	3.25	23.9%	10.9%	1.5%	.341	4.17	15.4%	4.7%	124	+0.92	3.25	500	80
Brandon Cunniff R 2015 · 4.28 FIP	26	SU	4.28	24.5%	13.2%	2.9%	.256	4.32	20.3%	9.0%	115	+0.04	3.89	180	80
Kiko Calero R 2003 · 3.54 FIP	28	SU	3.54	31.5%	11.1%	3.1%	.273	3.11	26.1%	18.9%	159	-0.43	2.27	298	79
Grant Balfour R 2004 · 3.79 FIP	26	SU	3.79	24.4%	11.6%	2.3%	.292	4.01	24.8%	8.3%	25	+0.22	2.04	533	79
Jason Stoffel R 2015 · 3.61 FIP	26	SU	3.61	23.4%	10.1%	2.2%	.267	3.49	27.2%	19.2%	59	-0.12	3.49	103	79
Jesus Pirela R 2015 · 3.84 FIP	26	SU	3.84	23.7%	11.6%	2.3%	.305	3.92	17.1%	13.9%	45	+0.08	3.24	161	79
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	79
Logan Boyer R 2024 · 3.71 FIP	26	SU	3.71	25.0%	12.3%	2.1%	.267	4.65	17.5%	3.5%	54	+0.94	3.71	121	78
Brooks Kriske R 2019 · 3.47 FIP	25	SU	3.47	26.1%	12.2%	1.9%	.245	4.95	28.6%	16.5%	41	+1.48	3.09	246	78
Michael Dimock R 2016 · 3.91 FIP	26	SU	3.91	26.8%	9.8%	3.3%	.289	3.79	20.9%	11.9%	66	-0.12	3.08	166	78
Ronald Peña R 2018 · 4.19 FIP	26	SU	4.19	23.4%	11.6%	2.9%	.273	4.52	18.7%	7.1%	88	+0.33	3.72	187	78
Scott Dohmann R 2004 · 4.44 FIP	26	SU	4.44	24.7%	9.6%	4.0%	.270	4.80	20.6%	8.5%	112	+0.36	4.28	173	78
Eric Reyzelman R 2024 · 3.81 FIP	23	SU	3.81	30.3%	15.6%	2.4%	.261	4.78	24.5%	8.6%	94	+0.97	3.81	117	77
Manny Acosta R 2007 · 4.05 FIP	26	SU	4.05	23.7%	14.0%	2.1%	.196	4.23	19.0%	9.1%	130	+0.18	3.08	350	77
Matt Ramsey R 2017 · 3.25 FIP	27	SU	3.25	24.2%	9.6%	1.8%	.330	3.21	23.6%	14.6%	81	-0.04	2.42	125	77

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	1.2	58	26.9%	12.3%	1.17	4.49
Fernando Rodriguez Jr. ('16)	1.2	58	24.6%	11.1%	0.93	4.35
Mac Scarce ('72-'78, 1 WAR*)	1.0	52	25.9%*	12.4%*	1.27*	4.17*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
David Aardsma ('15)	1.7	48	23.1%	12.4%	1.09	4.27
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*