Ryan Feltner

P Colorado Rockies

Age 30 RHP 6'4" / 200 lbs MLB peak 0.5 · 2027

Overview

MLBSP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	27	MIX2 levels	31	31	165	4.58	3.95	19.9%	7.6%	2.9	K 19.9% · BB 7.5% · FIP 3.77
2025	28	MIX3 levels	13	13	53	6.11	5.72	15.9%	13.5%	-0.2	K 14.8% · BB 13.0% · FIP 5.51
2026	29	MIX3 levels	28	24	132	5.11	4.77	17.3%	9.3%	1.0	K 16.8% · BB 9.7% · FIP 4.68
2027PROJ	30	MLBCOL	14	14	87	4.84	4.93	17.8%	9.7%	0.5
2028PROJ	31	MLBCOL	10	10	61	5.03	5.16	17.0%	10.0%	0.2
2029PROJ	32	MLBCOL	7	7	41	5.26	5.41	16.2%	10.4%	-0.0

Last 3 seasons WAR 3.6 · Next 3 projected WAR 0.6Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo54

xwOBA vs29

K%13

Form2.81 ERA (proj 4.84) · K 19.6% (proj 17.8%) · BB 8.9% (proj 9.7%) ▲ last 60d · 26 IP through Oct 27

CompsMiguel González (age 30) · Rolando Arrojo (age 32) · Chase Anderson (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 125117vR 109

ERA4.84

FIP4.93

K%17.8%

BB%9.7%

K-BB%8.1%

Proj IP87

Value2027 · WAR

Runs saved vs league avg · 87 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p5494.8

Whiff%

p3823.6%

p1316.8%

xwOBA vs

p290.337

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)
2018	21	ROK MLE	Grand Junction Rockies	9	9	31	108	39	4	1	100%	3.4	24.6%	4.6%	19.9%	1.3%	0.88	2.32	—
2018	21	ROK RAW	Grand Junction Rockies	9	9	31	108	39	4	1	100%	3.4	36.1%	3.7%	32.4%	0.9%	0.88	1.37	—
2019	22	A MLE	Asheville Tourists	25	25	119	532	116	46	12	100%	4.8	16.1%	10.2%	5.9%	2.3%	5.07	4.32	—
2019	22	A RAW	Asheville Tourists	25	25	119	532	116	46	12	100%	4.8	21.8%	8.6%	13.2%	2.3%	5.07	3.62	—
2021	24	MIX MLE	4 levels	23	23	119	501	133	47	13	100%	5.2	21.9%	9.9%	12.0%	2.1%	3.40	3.65	+2.5
2021	24	MIX RAW	4 levels	23	23	119	501	133	47	13	100%	5.2	26.5%	9.4%	17.2%	2.6%	3.40	3.47	+2.8
2022	25	MIX MLE	2 levels	31	30	149	649	144	53	21	97%	4.8	21.1%	8.3%	12.8%	3.0%	5.13	4.01	+2.5
2022	25	MIX RAW	2 levels	31	30	149	649	144	53	21	97%	4.8	22.2%	8.2%	14.0%	3.2%	5.13	4.07	+2.4
2023	26	MIX MLE	3 levels	13	13	54	242	47	32	2	100%	4.1	18.9%	13.9%	5.0%	0.9%	5.20	3.75	+1.1
2023	26	MIX RAW	3 levels	13	13	54	242	47	32	2	100%	4.1	19.4%	13.2%	6.2%	0.8%	5.20	3.62	+1.2
2024	27	MIX MLE	2 levels	31	31	165	707	141	54	20	100%	5.3	19.9%	7.5%	12.4%	2.6%	4.58	3.77	+3.2
2024	27	MIX MLE	2 levels	31	31	165	707	141	54	20	100%	5.3	19.9%	7.5%	12.4%	2.6%	4.58	3.77	+3.2
2024	27	MIX RAW	2 levels	31	31	165	707	141	54	20	100%	5.3	19.9%	7.6%	12.3%	2.8%	4.58	3.95	+2.9
2025	28	MIX MLE	3 levels	13	13	53	251	40	34	9	100%	4.1	14.8%	13.0%	1.8%	3.7%	6.11	5.51	-0.1
2025	28	MIX MLE	3 levels	13	13	53	251	40	34	9	100%	4.1	14.8%	13.0%	1.8%	3.7%	6.11	5.51	-0.1
2025	28	MIX RAW	3 levels	13	13	53	251	40	34	9	100%	4.1	15.9%	13.5%	2.4%	3.6%	6.11	5.72	-0.2
2026	29	MIX MLE	3 levels	28	24	132	583	101	54	20	86%	4.7	16.8%	9.7%	7.1%	3.2%	5.11	4.68	+1.1
2026	29	MIX MLE	3 levels	28	24	132	583	101	54	20	86%	4.7	16.8%	9.7%	7.1%	3.2%	5.11	4.68	+1.1
2026	29	MIX RAW	3 levels	28	24	132	583	101	54	20	86%	4.7	17.3%	9.3%	8.1%	3.4%	5.11	4.77	+1.0
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			94	89	463	2037	383	185	65	95%	4.9	18.8%	9.1%	9.7%	3.2%	5.25	4.47	+5.0
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	COL	14	14	87	367	65	36	12	100%	6.2	17.8%	9.7%	8.1%	3.1%	4.84	4.93	+0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	COL	10	10	61	256	44	26	9	100%	6.1	17.0%	10.0%	7.0%	3.4%	5.03	5.16	+0.2
2029	32	MLB MLE	COL	7	7	41	173	28	18	6	100%	5.8	16.2%	10.4%	5.8%	3.6%	5.26	5.41	-0.0
2028	31	MLB CTX	COL	10	10	61	258	44	26	9	100%	6.1	17.0%	10.0%	7.0%	3.4%	5.03	5.16	+0.2
2029	32	MLB CTX	COL	7	7	41	173	28	18	6	100%	5.9	16.2%	10.4%	5.8%	3.6%	5.26	5.41	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		111	106	564	2466	455	229	80	95%	5.1	18.4%	9.3%	9.2%	3.2%	5.23	4.50	+5.9
/ 200 IP	—	RAW		39	38	200	874	161	81	28	95%	5.1	18.4%	9.3%	9.2%	3.2%	5.23	4.50	+2.1
Career	—	MLE		173	168	821	3573	681	339	92	97%	4.7	19.1%	9.5%	9.6%	2.6%	4.67	4.11	+5.2
/ 200 IP	—	MLE		42	41	200	870	166	82	22	97%	4.7	19.1%	9.5%	9.6%	2.6%	4.67	4.11	+1.8

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 AAAAlbuquerque Isotopes · 5 IPFIP 1.62 → 1.85 (+0.23)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	5.00%	—	×0.900	4.50%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 1.62 → 1.85, 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 AAAAlbuquerque Isotopes · 21 IPFIP 7.17 → 7.26 (+0.09)K% 11.9% → 10.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	11.93%	—	×0.860	10.26%
BB% (unintentional) /BF	20.18%	—	×0.900	18.17%
HR / BF /BF	4.59%	÷1.017	×1.100	4.96%

Result: FIP 7.17 → 7.26, 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 AAAAlbuquerque Isotopes · 7 IPFIP 3.10 → 3.17 (+0.07)K% 20.0% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.00%	—	×0.860	17.20%
BB% (unintentional) /BF	13.33%	—	×0.900	12.00%
HR / BF /BF	0.00%	÷1.062	×1.100	0.00%

Result: FIP 3.10 → 3.17, 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 AAAAlbuquerque Isotopes · 52 IPFIP 3.08 → 3.45 (+0.37)K% 27.1% → 23.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.15%	—	×0.880	23.89%
BB% (unintentional) /BF	8.14%	—	×1.050	8.55%
HR / BF /BF	2.26%	÷1.061	×1.100	2.35%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 3.08 → 3.45, 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 AAHartford Yard Goats · 73 IPFIP 3.06 → 3.86 (+0.80)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.85%	—	×0.810	21.74%
BB% (unintentional) /BF	7.38%	—	×1.100	8.12%
HR / BF /BF	2.35%	÷0.990	×1.200	2.85%

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 3.06 → 3.86, 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 A+Spokane Indians · 37 IPFIP 2.48 → 3.27 (+0.79)K% 28.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.85%	—	×0.770	22.21%
BB% (unintentional) /BF	11.54%	—	×1.150	13.27%
HR / BF /BF	0.64%	÷1.211	×1.250	0.66%

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 142).

Result: FIP 2.48 → 3.27, 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).

2019 AAsheville Tourists · 119 IPFIP 3.59 → 4.32 (+0.73)K% 21.8% → 16.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.80%	—	×0.740	16.14%
BB% (unintentional) /BF	8.65%	—	×1.180	10.20%
HR / BF /BF	2.26%	÷1.249	×1.300	2.35%

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 150).

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).

2018 ROKGrand Junction Rockies · 31 IPFIP 1.03 → 2.32 (+1.30)K% 36.1% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.11%	—	×0.680	24.56%
BB% (unintentional) /BF	3.70%	—	×1.250	4.63%
HR / BF /BF	0.93%	÷1.000	×1.400	1.30%

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 1.03 → 2.32, 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).

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
Ryan Feltner (OGILVIE)	—	—	—	—	—	3.1%	—	5.26	16.7%	6.5%	102	+0.33	—	—	—
Miguel González R 2014 · 4.49 FIP	30	SP	4.49	16.5%	7.5%	3.4%	.268	4.26	16.6%	9.5%	457	-0.23	3.72	905	71
Rolando Arrojo R 2000 · 4.47 FIP	32	SP	4.47	16.1%	8.0%	3.1%	.291	3.68	16.4%	9.2%	185	-0.79	3.50	700	70
Chase Anderson R 2018 · 4.98 FIP	30	SP	4.98	19.9%	8.9%	4.4%	.235	4.93	20.1%	11.9%	253	-0.05	3.30	1,260	68
Tom Koehler R 2016 · 4.38 FIP	30	SP	4.38	19.0%	9.8%	3.0%	.291	4.66	22.4%	13.4%	110	+0.28	3.76	822	64
Jeremy Hefner R 2016 · 4.64 FIP	30	SP	4.64	16.8%	9.1%	3.3%	.305	—	—	—	—	—	3.56	322	64
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	63
Matt Buschmann R 2015 · 4.03 FIP	31	SP	4.03	17.2%	8.7%	2.3%	.282	4.84	12.8%	4.4%	142	+0.81	4.03	277	63
Nate Long R 2015 · 4.67 FIP	29	SP	4.67	14.8%	10.6%	2.7%	.285	—	—	—	—	—	4.67	151	62
Patrick Johnson R 2019 · 4.14 FIP	30	SP	4.14	15.7%	9.3%	2.2%	.344	—	—	—	—	—	3.82	248	62
Jeremy Kehrt R 2016 · 4.17 FIP	30	SP	4.17	12.7%	7.4%	2.2%	.333	4.71	8.5%	-4.6%	21	+0.54	3.37	262	62
Chi Chi González R 2022 · 4.30 FIP	30	SP-	4.30	17.6%	8.0%	3.0%	.315	5.33	11.2%	5.6%	122	+1.03	4.01	800	61
Adrian Sampson R 2022 · 4.22 FIP	30	SP	4.22	16.1%	6.2%	3.1%	.278	4.88	14.4%	7.0%	244	+0.66	3.23	1,012	61
Hideki Irabu R 2000 · 4.38 FIP	31	SP	4.38	17.0%	5.7%	3.6%	.374	5.19	17.2%	11.0%	64	+0.81	3.78	514	60
Matt Shoemaker R 2017 · 4.88 FIP	30	SP	4.88	21.2%	8.6%	4.5%	.271	4.29	23.5%	15.5%	88	-0.59	3.12	728	60
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	59
Christian Bergman R 2018 · 4.37 FIP	30	SP	4.37	15.7%	6.3%	3.3%	.327	7.36	13.2%	6.6%	26	+2.99	3.99	521	59
Jose Samayoa R 2019 · 4.05 FIP	29	SP	4.05	19.4%	7.0%	3.1%	.314	—	—	—	—	—	3.44	262	59
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	581	59
Robert Person R 2000 · 3.80 FIP	30	SP	3.80	22.1%	12.7%	1.8%	.278	4.75	19.5%	9.1%	308	+0.95	3.41	885	59
Scott Richmond R 2009 · 5.11 FIP	29	SP	5.11	19.2%	9.5%	4.4%	.294	—	—	—	—	—	2.80	166	59

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 2,161 pitcher careers (1,251 from 1990-2025 + 910 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	3.3	81	18.3%	9.3%	1.25	5.17
Shawn Hillegas ('87-'93, -0 WAR*)	2.6	86	19.6%*	10.2%*	1.24*	5.03*
Rob Gardner ('65-'73, -2 WAR*)	1.7	66	17.4%*	9.9%*	1.32*	5.45*
Casey Fossum ('09)	3.9	98	17.2%	9.0%	1.31	5.45
Ross Ohlendorf ('16)	2.9	84	17.2%	8.6%	1.38	4.82
Brandon Duckworth ('08)	2.6	73	16.4%	9.9%	1.11	5.28
Frank Wills ('83-'91, -1 WAR*)	2.2	62	20.5%*	10.2%*	1.27*	5.30*