Ryan Webb

P Columbus Clippers

Age 28 LHP 6'1" / 202 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX2 levels	27	25	141	2.80	2.71	25.7%	8.8%	—	K 21.1% · BB 9.3% · FIP 3.25
2025	26	AAACLE	28	21	121	4.15	3.93	22.8%	11.7%	—	K 19.6% · BB 10.5% · FIP 4.05
2026	27	AAACLE	29	13	65	8.27	6.71	20.3%	22.6%	—	K 17.5% · BB 20.4% · FIP 6.16
2027PROJ	28	MLBCLE	1	1	7	5.51	5.51	18.2%	15.5%	-0.0
2028PROJ37% MLB	29	MLBCLE	3	3	19	5.47	5.52	18.5%	15.1%	-0.0
2029PROJ55% MLB	30	MLBCLE	4	4	24	5.52	5.61	18.5%	15.0%	-0.1

Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control45Command45

Career WAR0.0 WAR median (P10 -0.2 / P90 0.1, comp-based) · star 0% · didn't stick 99%

CompsHouston Harding (age 26) · Matt Tracy (age 28) · Marlon Arias (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122130vR 138

ERA5.51

FIP5.51

K%18.2%

BB%15.5%

K-BB%2.7%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL4545

CMD4545

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)
2022	23	MIX MLE	2 levels	15	14	51	238	68	30	3	93%	3.4	22.0%	15.4%	6.6%	1.3%	3.91	3.92	—
2022	23	MIX RAW	2 levels	15	14	51	238	68	30	3	93%	3.4	28.6%	12.6%	16.0%	1.3%	3.91	2.96	—
2023	24	MIX MLE	2 levels	19	19	87	368	87	37	6	100%	4.6	18.3%	11.2%	7.1%	1.7%	3.22	3.90	—
2023	24	MIX RAW	2 levels	19	19	87	368	87	37	6	100%	4.6	23.6%	10.1%	13.6%	1.6%	3.22	3.27	—
2024	25	MIX MLE	2 levels	27	25	141	588	151	52	7	93%	5.2	21.1%	9.3%	11.8%	1.4%	2.80	3.25	—
2024	25	MIX MLE	2 levels	27	25	141	588	151	52	7	93%	5.2	21.1%	9.3%	11.8%	1.4%	2.80	3.25	—
2024	25	MIX RAW	2 levels	27	25	141	588	151	52	7	93%	5.2	25.7%	8.8%	16.8%	1.2%	2.80	2.71	—
2025	26	AAA MLE	Columbus Clippers	28	21	121	521	119	61	12	75%	4.3	19.6%	10.5%	9.1%	2.3%	4.15	4.05	—
2025	26	AAA MLE	Columbus Clippers	28	21	121	521	119	61	12	75%	4.3	19.6%	10.5%	9.1%	2.3%	4.15	4.05	—
2025	26	AAA RAW	Columbus Clippers	28	21	121	521	119	61	12	75%	4.3	22.8%	11.7%	11.1%	2.3%	4.15	3.93	—
2026	27	AAA MLE	Columbus Clippers	29	13	65	340	69	77	11	45%	2.3	17.5%	20.4%	-2.9%	3.6%	8.27	6.16	—
2026	27	AAA MLE	Columbus Clippers	29	13	65	340	69	77	11	45%	2.3	17.5%	20.4%	-2.9%	3.6%	8.27	6.16	—
2026	27	AAA RAW	Columbus Clippers	29	13	65	340	69	77	11	45%	2.3	20.3%	22.6%	-2.4%	3.2%	8.27	6.71	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	CLE	1	1	7	30	5	5	1	100%	7.0	18.2%	15.5%	2.7%	2.9%	5.51	5.51	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	CLE	9	9	52	220	41	33	7	100%	5.8	18.5%	15.1%	3.4%	3.1%	5.47	5.52	-0.1
2029	30	MLB MLE	CLE	7	7	43	183	34	27	6	100%	6.2	18.5%	15.0%	3.5%	3.3%	5.52	5.61	-0.1
2028	29	MLB CTX	CLE	3	3	19	80	15	12	2	100%	6.3	18.5%	15.1%	3.4%	3.1%	5.47	5.52	-0.0
2029	30	MLB CTX	CLE	4	4	24	101	19	15	3	100%	6.0	18.5%	15.0%	3.5%	3.3%	5.52	5.61	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	43	182	34	27	6	100%	6.1	18.5%	15.0%	3.4%	3.2%	5.50	5.19	+0.1
/ 200 IP	—	RAW		33	33	200	844	158	125	28	100%	6.0	18.5%	15.0%	3.4%	3.2%	5.50	5.19	+0.5
Career	—	MLE		118	92	465	2055	405	257	42	78%	3.9	19.7%	12.5%	7.2%	2.0%	4.12	4.13	-0.2
/ 200 IP	—	MLE		51	40	200	883	174	110	18	78%	3.9	19.7%	12.5%	7.2%	2.0%	4.12	4.13	-0.4

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 AAAColumbus Clippers · 65 IPFIP 6.03 → 6.16 (+0.13)K% 20.3% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.29%	—	×0.860	17.45%
BB% (unintentional) /BF	22.65%	—	×0.900	20.38%
HR / BF /BF	3.24%	÷1.000	×1.100	3.56%

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 6.03 → 6.16, 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 AAAColumbus Clippers · 121 IPFIP 3.92 → 4.05 (+0.13)K% 22.8% → 19.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.84%	—	×0.860	19.64%
BB% (unintentional) /BF	11.71%	—	×0.900	10.54%
HR / BF /BF	2.30%	÷1.093	×1.100	2.32%

Result: FIP 3.92 → 4.05, 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 AAAkron RubberDucks · 107 IPFIP 2.46 → 3.12 (+0.66)K% 26.8% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.76%	—	×0.810	21.67%
BB% (unintentional) /BF	8.84%	—	×1.100	9.73%
HR / BF /BF	0.91%	÷0.966	×1.200	1.13%

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 93).

Result: FIP 2.46 → 3.12, 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 AAAColumbus Clippers · 35 IPFIP 3.44 → 3.64 (+0.20)K% 22.4% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.45%	—	×0.860	19.31%
BB% (unintentional) /BF	8.84%	—	×0.900	7.96%
HR / BF /BF	2.04%	÷1.060	×1.100	2.12%

Result: FIP 3.44 → 3.64, 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).

2023 A+Lake County Captains · 82 IPFIP 3.11 → 3.90 (+0.79)K% 23.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.78%	—	×0.770	18.31%
BB% (unintentional) /BF	9.74%	—	×1.150	11.20%
HR / BF /BF	1.43%	÷1.060	×1.250	1.69%

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 112).

Result: FIP 3.11 → 3.90, 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 ALynchburg Hillcats · 41 IPFIP 2.81 → 3.92 (+1.11)K% 29.7% → 22.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.69%	—	×0.740	21.97%
BB% (unintentional) /BF	13.02%	—	×1.180	15.36%
HR / BF /BF	1.04%	÷1.015	×1.300	1.33%

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 103).

Result: FIP 2.81 → 3.92, 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 ROKACL Guardians · 9 IPFIP 3.65 → 5.27 (+1.62)K% 23.9% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.91%	—	×0.680	16.26%
BB% (unintentional) /BF	10.87%	—	×1.250	13.59%
HR / BF /BF	2.17%	÷0.915	×1.400	3.33%

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 83).

Result: FIP 3.65 → 5.27, 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).

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 Webb (OGILVIE)	—	—	5.51	18.2%	15.5%	2.9%	—	5.56	18.5%	3.4%	95	+0.05	—	—	—
Houston Harding L 2024 · 4.54 FIP	26	SP-	4.54	16.5%	11.2%	2.6%	.268	5.19	12.0%	0.5%	61	+0.65	3.41	239	72
Matt Tracy L 2017 · 4.82 FIP	28	SP-	4.82	16.1%	9.4%	3.5%	.325	3.24	13.9%	3.5%	49	-1.58	3.24	298	72
Marlon Arias L 2015 · 4.32 FIP	30	SP	4.32	16.8%	12.2%	2.0%	.330	3.73	17.2%	9.5%	22	-0.59	3.73	154	68
Jack Snodgrass L 2016 · 5.01 FIP	28	SP-	5.01	15.7%	10.1%	3.6%	.305	—	—	—	—	—	4.66	118	68
Enrique Lechuga L 2015 · 4.70 FIP	29	SP-	4.70	10.0%	10.5%	2.0%	.354	3.78	10.5%	4.4%	59	-0.92	3.78	137	68
Marco Tovar L 2017 · 5.04 FIP	28	SP-	5.04	16.1%	11.3%	3.4%	.317	4.78	12.6%	7.0%	82	-0.26	3.78	327	67
Amilcar Gaxiola L 2019 · 4.61 FIP	28	SP-	4.61	11.8%	10.0%	2.3%	.316	—	—	—	—	—	4.58	321	66
Danny Wirchansky L 2024 · 4.47 FIP	27	SP-	4.47	16.2%	7.4%	3.3%	.246	5.88	13.0%	0.2%	68	+1.41	4.47	179	66
Darin Gorski L 2016 · 4.50 FIP	28	SP	4.50	15.0%	9.8%	2.6%	.299	—	—	—	—	—	4.50	206	65
Brad Mills L 2014 · 5.61 FIP	29	SP-	5.61	18.8%	10.9%	5.0%	.364	5.00	14.5%	4.0%	182	-0.61	4.22	243	65
Edgar Osuna L 2017 · 5.05 FIP	29	SP	5.05	10.6%	8.2%	3.3%	.345	5.09	10.0%	2.8%	83	+0.04	5.05	175	64
Alejandro Astorga L 2015 · 4.35 FIP	28	SP	4.35	11.5%	10.2%	1.7%	.283	3.87	14.7%	6.1%	220	-0.48	3.72	311	64
Blair Walters L 2016 · 4.66 FIP	26	SP	4.66	14.6%	14.2%	1.8%	.302	—	—	—	—	—	3.87	262	64
Tyler Alexander L 2019 · 5.56 FIP	27	SP-	5.56	21.7%	9.8%	5.6%	.289	5.27	15.7%	5.0%	26	-0.29	5.27	128	64
Eric DuBose L 2004 · 5.50 FIP	28	SP	5.50	14.2%	13.0%	3.5%	.274	5.45	12.6%	-1.5%	29	-0.05	3.92	178	63
Chris Reed L 2016 · 4.67 FIP	26	SW	4.67	16.4%	9.8%	3.1%	.238	—	—	—	—	—	4.67	137	63
Hogan Harris L 2024 · 4.46 FIP	27	SP-	4.46	20.3%	11.8%	2.9%	.312	3.42	26.7%	15.1%	150	-1.04	3.09	501	63
Daniel Camarena L 2021 · 4.47 FIP	28	SP	4.47	14.9%	8.3%	2.9%	.273	5.73	13.7%	5.9%	121	+1.26	3.76	674	62
Taylor Varnell L 2021 · 4.48 FIP	26	SP	4.48	20.1%	10.3%	3.2%	.278	—	—	—	—	—	2.89	248	62
Tommy Shirley L 2016 · 4.93 FIP	27	SP-	4.93	13.0%	8.8%	3.3%	.366	—	—	—	—	—	3.35	147	62

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	0.8	55	18.3%	15.2%	1.18	5.50
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Matt Anderson ('05)	1.3	51	19.3%	13.5%	1.05	5.19
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*