Sam Whiting

P Everett AquaSox

Age 26 RHP 6'3" / 220 lbs A+

Overview

A+PROSPECT

ETA2029MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX3 levels	24	20	72	3.75	3.38	19.1%	10.8%	—	K 14.6% · BB 12.3% · FIP 4.12
2025	24	MIX3 levels	22	9	67	5.54	4.17	18.1%	12.7%	—	K 14.3% · BB 15.1% · FIP 5.05
2026	25	MIX2 levels	27	0	46	3.52	3.45	27.2%	9.7%	—	K 21.2% · BB 11.4% · FIP 4.64
2027PROJ	26	MLBSEA	—	—	0	5.09	5.09	18.5%	12.5%	—
2028PROJ37% MLB	27	MLBSEA	15	0	16	5.04	5.05	19.0%	12.2%	-0.1
2029PROJ59% MLB	28	MLBSEA	21	0	22	5.05	5.08	19.2%	12.2%	-0.1

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

Contract

No contract data on file.

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsGrant Black (age 27) · Tyler Yates (age 26) · Cameron Foster (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 130122vR 114

ERA5.09

FIP5.09

K%18.5%

BB%12.5%

K-BB%6.0%

Proj IP31

Value2027 · WAR

Runs saved vs league avg · 31 IP

Grades · Contract

Scouting Grades

K†4545

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	22	MIX MLE	2 levels	8	0	9	40	10	10	1	0%	1.1	25.0%	25.0%	0.0%	2.5%	2.08	5.53	—
2023	22	MIX RAW	2 levels	8	0	9	40	10	10	1	0%	1.1	25.0%	25.0%	0.0%	2.5%	2.08	5.75	—
2024	23	MIX MLE	3 levels	24	20	72	325	62	35	3	83%	3.0	14.6%	12.3%	2.3%	1.3%	3.75	4.12	—
2024	23	MIX MLE	3 levels	24	20	72	325	62	35	3	83%	3.0	14.6%	12.3%	2.3%	1.3%	3.75	4.12	—
2024	23	MIX RAW	3 levels	24	20	72	325	62	35	3	83%	3.0	19.1%	10.8%	8.3%	0.9%	3.75	3.38	—
2025	24	MIX MLE	3 levels	22	9	67	299	54	38	5	41%	3.0	14.3%	15.1%	-0.8%	2.3%	5.54	5.05	—
2025	24	MIX MLE	3 levels	22	9	67	299	54	38	5	41%	3.0	14.3%	15.1%	-0.8%	2.3%	5.54	5.05	—
2025	24	MIX RAW	3 levels	22	9	67	299	54	38	5	41%	3.0	18.1%	12.7%	5.4%	1.7%	5.54	4.17	—
2026	25	MIX MLE	2 levels	27	0	46	195	53	19	5	0%	1.7	21.2%	11.4%	9.8%	3.4%	3.52	4.64	—
2026	25	MIX MLE	2 levels	27	0	46	195	53	19	5	0%	1.7	21.2%	11.4%	9.8%	3.4%	3.52	4.64	—
2026	25	MIX RAW	2 levels	27	0	46	195	53	19	5	0%	1.7	27.2%	9.7%	17.4%	2.6%	3.52	3.45	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	SEA	—	—	0	—	—	—	—	—	—	18.5%	12.5%	6.0%	2.9%	5.09	5.09	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	SEA	42	0	44	188	36	23	6	0%	1.1	19.0%	12.2%	6.7%	3.0%	5.04	5.05	-0.2
2029	28	MLB MLE	SEA	36	0	38	160	31	20	5	0%	1.1	19.2%	12.2%	7.0%	3.1%	5.05	5.08	-0.2
2028	27	MLB CTX	SEA	15	0	16	68	13	8	2	0%	1.1	19.0%	12.2%	6.7%	3.0%	5.04	5.05	-0.1
2029	28	MLB CTX	SEA	21	0	22	93	18	11	3	0%	1.0	19.2%	12.2%	7.0%	3.1%	5.05	5.08	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		37	0	39	163	31	20	5	0%	1.0	19.1%	12.2%	6.9%	3.0%	5.05	4.69	-0.1
/ 200 IP	—	RAW		190	0	200	844	160	103	26	0%	1.1	19.1%	12.2%	6.9%	3.0%	5.05	4.69	-0.3
Career	—	MLE		81	29	193	859	141	117	19	36%	2.4	16.5%	13.7%	2.8%	2.2%	4.24	4.63	-0.5
/ 200 IP	—	MLE		84	30	200	889	146	121	19	36%	2.4	16.5%	13.7%	2.8%	2.2%	4.24	4.63	-1.2

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 A+Everett AquaSox · 43 IPFIP 3.54 → 4.64 (+1.10)K% 27.5% → 21.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.47%	—	×0.770	21.15%
BB% (unintentional) /BF	9.89%	—	×1.150	11.37%
HR / BF /BF	2.75%	÷1.000	×1.250	3.43%

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 3.54 → 4.64, 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 A+Fort Wayne TinCaps · 40 IPFIP 4.58 → 5.49 (+0.91)K% 16.4% → 12.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.38%	—	×0.770	12.62%
BB% (unintentional) /BF	15.25%	—	×1.150	17.54%
HR / BF /BF	1.69%	÷0.941	×1.250	2.25%

Result: FIP 4.58 → 5.49, 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 AASan Antonio Missions · 23 IPFIP 3.60 → 4.33 (+0.73)K% 21.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.10%	—	×0.810	17.09%
BB% (unintentional) /BF	10.09%	—	×1.100	11.10%
HR / BF /BF	1.83%	÷0.950	×1.200	2.32%

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 90).

Result: FIP 3.60 → 4.33, 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 ALake Elsinore Storm · 28 IPFIP 3.27 → 4.21 (+0.94)K% 19.8% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.83%	—	×0.740	14.68%
BB% (unintentional) /BF	7.44%	—	×1.180	8.78%
HR / BF /BF	1.65%	÷0.953	×1.300	2.26%

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 91).

Result: FIP 3.27 → 4.21, 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+Fort Wayne TinCaps · 28 IPFIP 3.39 → 4.29 (+0.90)K% 23.7% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.73%	—	×0.770	18.27%
BB% (unintentional) /BF	14.41%	—	×1.150	16.57%
HR / BF /BF	0.85%	÷0.916	×1.250	1.16%

Result: FIP 3.39 → 4.29, 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 AASan Antonio Missions · 17 IPFIP 3.44 → 3.76 (+0.32)K% 11.6% → 9.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.63%	—	×0.810	9.42%
BB% (unintentional) /BF	10.47%	—	×1.100	11.51%
HR / BF /BF	0.00%	÷0.953	×1.200	0.00%

Result: FIP 3.44 → 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).

2023 ALake Elsinore Storm · 8 IPFIP 6.00 → 7.33 (+1.34)K% 22.9% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.86%	—	×0.740	16.91%
BB% (unintentional) /BF	25.71%	—	×1.180	30.34%
HR / BF /BF	2.86%	÷1.121	×1.300	3.31%

Result: FIP 6.00 → 7.33, 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
Sam Whiting (OGILVIE)	—	—	5.09	18.5%	12.5%	2.9%	—	5.06	19.1%	6.9%	82	-0.03	—	—	—
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	85
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	85
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	81
Logan Taylor R 2018 · 4.79 FIP	26	SU	4.79	17.2%	12.1%	2.9%	.316	—	—	—	—	—	3.55	300	80
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	79
Taylor Grover R 2017 · 4.93 FIP	26	SW	4.93	20.0%	10.9%	3.9%	.320	4.89	16.2%	8.9%	14	-0.04	3.68	239	79
Emmanuel Chapman R 2024 · 4.08 FIP	25	SW	4.08	19.7%	10.6%	2.4%	.256	4.52	17.8%	1.3%	117	+0.44	3.81	198	79
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	78
Hayden Snelsire R 2024 · 5.10 FIP	23	SU	5.10	18.9%	13.8%	3.4%	.272	4.28	20.0%	13.7%	135	-0.82	3.83	178	77
Colby Morris R 2022 · 5.76 FIP	25	SW	5.76	16.2%	11.8%	4.6%	.268	—	—	—	—	—	4.11	105	77
Jorge Reyes R 2015 · 4.58 FIP	27	SW	4.58	15.9%	8.5%	3.2%	.307	3.49	14.2%	6.2%	129	-1.09	3.39	227	77
Brad Allen R 2015 · 4.25 FIP	26	SW	4.25	14.0%	12.6%	1.3%	.315	5.82	14.7%	1.5%	87	+1.57	4.25	149	77
Fernando Cruz R 2015 · 5.29 FIP	25	SU	5.29	15.6%	12.2%	3.6%	.284	—	—	—	—	—	2.50	371	77
Jeremy Guthrie R 2006 · 4.92 FIP	27	SU	4.92	15.1%	15.1%	2.1%	.349	4.57	14.8%	8.1%	566	-0.35	4.08	1,834	77
Ryan Conroy R 2022 · 4.75 FIP	25	SU	4.75	19.3%	12.6%	3.1%	.361	—	—	—	—	—	4.01	106	77
Daniel Corcino R 2017 · 3.93 FIP	26	SU	3.93	21.7%	11.4%	2.2%	.292	4.91	19.0%	7.9%	223	+0.98	3.84	318	77
Jimmy Joyce R 2024 · 4.30 FIP	25	SW	4.30	17.8%	14.2%	1.7%	.278	—	—	—	—	—	3.39	259	76
Derek Gordon R 2016 · 4.62 FIP	25	SW	4.62	19.9%	9.3%	3.7%	.315	—	—	—	—	—	4.62	146	76
Ranfi Casimiro R 2018 · 4.62 FIP	26	SW	4.62	16.4%	10.7%	2.8%	.285	4.93	8.4%	-0.2%	16	+0.31	3.81	420	76
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	76

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	38	18.9%	12.3%	1.15	5.06
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Pedro Borbón ('03)	1.4	45	18.5%	11.1%	1.10	4.68
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12