Kyle Whitten

P Montgomery Biscuits

Age 28 RHP 6'3" / 190 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	24	A+TB	32	0	48	3.19	3.52	23.4%	8.3%	—	K 18.0% · BB 9.5% · FIP 4.35
2024	25	MIX3 levels	29	1	41	3.95	4.59	22.4%	9.2%	—	K 18.0% · BB 9.9% · FIP 5.14
2026	27	AATB	8	1	9	9.64	4.28	24.5%	15.1%	—	K 19.9% · BB 16.6% · FIP 4.77
2027PROJ	28	MLBTB	—	—	0	4.94	4.94	20.9%	12.4%	—
2028PROJ31% MLB	29	MLBTB	5	0	5	4.96	5.01	20.9%	12.3%	-0.0

Next 2 projected WAR -0.0Projected 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 100%

CompsWirfin Obispo (age 30) · Spencer Bivens (age 28) · Joe Colón J (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.94

FIP4.94

K%20.9%

BB%12.4%

K-BB%8.5%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

K†5050

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)
2021	22	ROK MLE	FCL Rays	6	0	6	30	7	2	0	0%	1.0	23.3%	6.7%	16.7%	0.0%	1.50	1.97	—
2021	22	ROK RAW	FCL Rays	6	0	6	30	7	2	0	0%	1.0	23.3%	6.7%	16.7%	0.0%	1.50	1.77	—
2022	23	MIX MLE	2 levels	38	0	58	231	52	14	6	0%	1.5	17.2%	7.0%	10.1%	3.2%	3.12	4.32	—
2022	23	MIX RAW	2 levels	38	0	58	231	52	14	6	0%	1.5	22.5%	6.1%	16.5%	2.6%	3.12	3.38	—
2023	24	A+ MLE	Bowling Green Hot Rods	32	0	48	205	48	17	5	0%	1.5	18.0%	9.5%	8.5%	2.9%	3.19	4.35	—
2023	24	A+ RAW	Bowling Green Hot Rods	32	0	48	205	48	17	5	0%	1.5	23.4%	8.3%	15.1%	2.4%	3.19	3.52	—
2024	25	MIX MLE	3 levels	29	1	41	174	39	16	7	3%	1.4	18.0%	9.9%	8.1%	4.2%	3.95	5.14	—
2024	25	MIX MLE	3 levels	29	1	41	174	39	16	7	3%	1.4	18.0%	9.9%	8.1%	4.2%	3.95	5.14	—
2024	25	MIX RAW	3 levels	29	1	41	174	39	16	7	3%	1.4	22.4%	9.2%	13.2%	4.0%	3.95	4.59	—
2026	27	AA MLE	Montgomery Biscuits	8	1	9	53	13	8	1	12%	1.2	19.9%	16.6%	3.3%	2.3%	9.64	4.77	—
2026	27	AA MLE	Montgomery Biscuits	8	1	9	53	13	8	1	12%	1.2	19.9%	16.6%	3.3%	2.3%	9.64	4.77	—
2026	27	AA RAW	Montgomery Biscuits	8	1	9	53	13	8	1	12%	1.2	24.5%	15.1%	9.4%	1.9%	9.64	4.28	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	TB	—	—	0	—	—	—	—	—	—	20.9%	12.4%	8.5%	3.0%	4.94	4.94	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	TB	16	0	16	69	14	9	2	0%	1.0	20.9%	12.3%	8.6%	3.2%	4.96	5.01	-0.1
2028	29	MLB CTX	TB	5	0	5	21	4	3	1	0%	1.0	20.9%	12.3%	8.6%	3.2%	4.96	5.01	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		5	0	5	22	5	3	1	0%	1.0	20.9%	12.3%	8.6%	3.2%	4.96	4.63	-0.0
/ 200 IP	—	RAW		190	0	200	844	195	117	39	0%	1.1	20.9%	12.3%	8.6%	3.2%	4.96	4.63	-0.2
Career	—	MLE		113	2	162	693	125	64	22	2%	1.4	18.1%	9.2%	8.9%	3.2%	3.67	4.47	-0.1
/ 200 IP	—	MLE		140	2	200	856	155	79	27	2%	1.4	18.1%	9.2%	8.9%	3.2%	3.67	4.47	-1.1

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 AAMontgomery Biscuits · 9 IPFIP 3.98 → 4.77 (+0.79)K% 24.5% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.53%	—	×0.810	19.87%
BB% (unintentional) /BF	15.09%	—	×1.100	16.60%
HR / BF /BF	1.89%	÷1.000	×1.200	2.26%

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 100).

Result: FIP 3.98 → 4.77, 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 AAMontgomery Biscuits · 20 IPFIP 3.59 → 4.32 (+0.73)K% 19.8% → 16.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.77%	—	×0.810	16.01%
BB% (unintentional) /BF	6.98%	—	×1.100	7.67%
HR / BF /BF	2.33%	÷0.958	×1.200	2.91%

Result: FIP 3.59 → 4.32, 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).

2024 AAADurham Bulls · 17 IPFIP 5.91 → 6.13 (+0.22)K% 23.6% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.61%	—	×0.860	20.31%
BB% (unintentional) /BF	13.89%	—	×0.900	12.50%
HR / BF /BF	5.56%	÷1.061	×1.100	5.76%

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 112).

Result: FIP 5.91 → 6.13, 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+Bowling Green Hot Rods · 48 IPFIP 3.51 → 4.35 (+0.84)K% 23.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.41%	—	×0.770	18.03%
BB% (unintentional) /BF	8.29%	—	×1.150	9.54%
HR / BF /BF	2.44%	÷1.066	×1.250	2.86%

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 113).

Result: FIP 3.51 → 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).

2022 A+Bowling Green Hot Rods · 38 IPFIP 3.68 → 4.66 (+0.98)K% 23.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.75%	—	×0.770	18.29%
BB% (unintentional) /BF	6.88%	—	×1.150	7.91%
HR / BF /BF	3.12%	÷1.020	×1.250	3.83%

Result: FIP 3.68 → 4.66, 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 ACharleston RiverDogs · 19 IPFIP 2.74 → 3.57 (+0.82)K% 19.7% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.72%	—	×0.740	14.59%
BB% (unintentional) /BF	4.23%	—	×1.180	4.99%
HR / BF /BF	1.41%	÷0.943	×1.300	1.94%

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 89).

Result: FIP 2.74 → 3.57, 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).

2021 ROKFCL Rays · 6 IPFIP 1.97 → 2.82 (+0.84)K% 23.3% → 15.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.33%	—	×0.680	15.87%
BB% (unintentional) /BF	6.67%	—	×1.250	8.33%
HR / BF /BF	0.00%	÷0.948	×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 1.97 → 2.82, 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
Kyle Whitten (OGILVIE)	—	—	4.94	20.9%	12.4%	3.0%	—	5.01	20.9%	8.6%	16	+0.07	—	—	—
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	86
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	86
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	83
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	83
Jeff Fulchino R 2008 · 4.62 FIP	28	SU	4.62	16.7%	11.1%	2.8%	.380	3.86	21.0%	12.4%	164	-0.76	3.36	178	83
Arcenio Leon R 2015 · 4.73 FIP	28	SU	4.73	17.9%	12.5%	2.9%	.450	3.37	18.0%	9.1%	85	-1.36	3.00	115	83
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	82
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	81
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	81
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	80
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	80
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	80
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	79
Josh Lueke R 2013 · 4.09 FIP	28	SU	4.09	25.3%	11.1%	3.1%	.333	3.28	24.6%	20.9%	90	-0.81	2.29	191	79
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	79
Jose Veras R 2009 · 5.13 FIP	28	SU	5.13	17.8%	12.4%	3.6%	.228	3.57	26.3%	14.0%	186	-1.56	3.37	422	78
Carlos Fisher R 2011 · 4.33 FIP	28	SU	4.33	15.5%	9.1%	2.5%	.275	—	—	—	—	—	2.48	245	78
Jose Rafael De Paula R 2019 · 4.43 FIP	28	SU	4.43	23.3%	13.6%	2.9%	.313	—	—	—	—	—	2.64	315	78
Tyler Sturdevant R 2015 · 4.37 FIP	29	SU	4.37	21.3%	8.5%	3.6%	.241	3.97	18.5%	11.9%	118	-0.40	3.44	149	78
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	78