Kasey Ford

P Corpus Christi Hooks

Age 29 RHP 6'6" / 275 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX2 levels	27	0	41	5.23	3.41	28.1%	12.0%	—	K 21.3% · BB 14.7% · FIP 5.12
2023	25	MIX2 levels	29	0	38	2.37	2.63	33.3%	13.3%	—	K 28.7% · BB 14.6% · FIP 2.53
2024	26	AAHOU	30	0	37	3.93	4.16	21.1%	16.8%	—	K 17.1% · BB 18.4% · FIP 4.84
2025	27	No MLB games played
2026	28	No MLB games played
2027PROJ	29	MLBHOU	—	—	0	4.88	4.88	21.3%	12.5%	—
2028PROJ31% MLB	30	MLBHOU	5	0	5	4.93	5.00	21.2%	12.5%	-0.0

Next 2 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsWirfin Obispo (age 30) · Jim Miller (age 30) · Joe Nelson (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126118vR 110

ERA4.88

FIP4.88

K%21.3%

BB%12.5%

K-BB%8.8%

Proj IP21

Value2027 · WAR

Runs saved vs league avg · 21 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	23	MIX MLE	2 levels	13	0	17	76	21	9	2	0%	1.3	20.3%	14.5%	5.7%	3.0%	4.76	4.89	—
2021	23	MIX RAW	2 levels	13	0	17	76	21	9	2	0%	1.3	27.6%	11.8%	15.8%	2.6%	4.76	3.75	—
2022	24	MIX MLE	2 levels	27	0	41	192	54	23	4	0%	1.5	21.3%	14.7%	6.6%	3.6%	5.23	5.12	—
2022	24	MIX RAW	2 levels	27	0	41	192	54	23	4	0%	1.5	28.1%	12.0%	16.1%	2.1%	5.23	3.41	—
2023	25	MIX MLE	2 levels	29	0	38	165	55	22	2	0%	1.3	28.7%	14.6%	14.1%	0.0%	2.37	2.53	—
2023	25	MIX RAW	2 levels	29	0	38	165	55	22	2	0%	1.3	33.3%	13.3%	20.0%	1.2%	2.37	2.63	—
2024	26	AA MLE	Corpus Christi Hooks	30	0	37	161	34	27	2	0%	1.2	17.1%	18.4%	-1.3%	1.5%	3.93	4.84	—
2024	26	AA MLE	Corpus Christi Hooks	30	0	37	161	34	27	2	0%	1.2	17.1%	18.4%	-1.3%	1.5%	3.93	4.84	—
2024	26	AA RAW	Corpus Christi Hooks	30	0	37	161	34	27	2	0%	1.2	21.1%	16.8%	4.3%	1.2%	3.93	4.16	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	HOU	—	—	0	—	—	—	—	—	—	21.3%	12.5%	8.8%	3.0%	4.88	4.88	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	HOU	16	0	17	71	15	9	2	0%	1.0	21.2%	12.5%	8.7%	3.2%	4.93	5.00	-0.1
2028	30	MLB CTX	HOU	5	0	5	21	4	3	1	0%	1.0	21.2%	12.5%	8.7%	3.2%	4.93	5.00	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		5	0	5	22	5	3	1	0%	1.0	21.2%	12.5%	8.7%	3.2%	4.93	4.63	-0.0
/ 200 IP	—	RAW		190	0	200	844	191	115	38	0%	1.1	21.2%	12.5%	8.7%	3.2%	4.93	4.63	-0.2
Career	—	MLE		99	0	133	594	131	93	12	0%	1.3	22.1%	15.7%	6.4%	2.0%	3.99	4.29	-0.1
/ 200 IP	—	MLE		149	0	200	893	197	140	18	0%	1.3	22.1%	15.7%	6.4%	2.0%	3.99	4.29	-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.

2024 AACorpus Christi Hooks · 37 IPFIP 4.12 → 4.84 (+0.71)K% 21.1% → 17.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.12%	—	×0.810	17.11%
BB% (unintentional) /BF	16.77%	—	×1.100	18.45%
HR / BF /BF	1.24%	÷0.970	×1.200	1.54%

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 94).

Result: FIP 4.12 → 4.84, 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 AFayetteville Woodpeckers · 29 IPFIP 1.39 → 2.53 (+1.14)K% 38.8% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.84%	—	×0.740	28.74%
BB% (unintentional) /BF	12.40%	—	×1.180	14.63%
HR / BF /BF	0.00%	÷0.993	×1.300	0.00%

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 99).

Result: FIP 1.39 → 2.53, 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+Asheville Tourists · 9 IPFIP 6.07 → 6.80 (+0.72)K% 18.2% → 14.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.18%	—	×0.770	14.00%
BB% (unintentional) /BF	15.91%	—	×1.150	18.30%
HR / BF /BF	4.55%	÷1.218	×1.250	4.67%

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 144).

Result: FIP 6.07 → 6.80, 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 AFayetteville Woodpeckers · 33 IPFIP 3.68 → 5.12 (+1.44)K% 28.8% → 21.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.76%	—	×0.740	21.28%
BB% (unintentional) /BF	12.42%	—	×1.180	14.65%
HR / BF /BF	2.61%	÷0.949	×1.300	3.58%

Result: FIP 3.68 → 5.12, 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).

2022 A+Asheville Tourists · 8 IPFIP 2.23 → 2.93 (+0.69)K% 25.6% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.64%	—	×0.770	19.74%
BB% (unintentional) /BF	10.26%	—	×1.150	11.79%
HR / BF /BF	0.00%	÷0.972	×1.250	0.00%

Result: FIP 2.23 → 2.93, 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 AFayetteville Woodpeckers · 16 IPFIP 3.85 → 4.89 (+1.04)K% 27.4% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.40%	—	×0.740	20.27%
BB% (unintentional) /BF	12.33%	—	×1.180	14.55%
HR / BF /BF	2.74%	÷1.176	×1.300	3.03%

Result: FIP 3.85 → 4.89, 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
Kasey Ford (OGILVIE)	—	—	4.88	21.3%	12.5%	3.0%	—	5.00	21.2%	8.7%	17	+0.12	—	—	—
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	90
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	88
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	85
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	84
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
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	81
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	81
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	80
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	80
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	80
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	79
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	79
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	79
Brian Sanches R 2008 · 4.74 FIP	29	SU	4.74	18.5%	9.3%	3.7%	.378	4.01	20.5%	10.8%	182	-0.73	3.39	229	79
Diego Moreno R 2016 · 3.75 FIP	29	SU	3.75	21.0%	8.2%	2.5%	.347	3.13	17.8%	11.9%	54	-0.62	2.29	187	77
Dan Winkler R 2019 · 4.99 FIP	29	SU	4.99	20.6%	15.2%	3.1%	.237	4.44	23.0%	8.4%	104	-0.55	2.40	231	77
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	77
Scott Dohmann R 2007 · 4.28 FIP	29	SU	4.28	19.1%	12.5%	2.2%	.289	4.38	18.2%	9.1%	15	+0.10	4.28	173	76
Ronald Peña R 2021 · 4.49 FIP	29	SU	4.49	16.5%	10.4%	2.7%	.288	—	—	—	—	—	3.72	187	76
Matt Lindstrom R 2009 · 4.12 FIP	29	SU	4.12	17.8%	10.0%	2.3%	.320	3.16	17.7%	11.7%	154	-0.96	2.40	443	76