Grant Ford

P Altoona Curve

Age 29 RHP 6'1" / 195 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	24	MIX3 levels	8	2	14	4.40	4.08	18.0%	19.7%	—	K 18.0% · BB 19.7% · FIP 4.07
2023	25	MIX2 levels	39	0	55	4.12	4.64	25.8%	14.4%	—	K 20.2% · BB 16.2% · FIP 5.43
2024	26	AAPIT	35	2	57	3.95	3.15	22.1%	11.8%	—	K 17.9% · BB 13.0% · FIP 3.83
2025	27	No MLB games played
2026	28	No MLB games played
2027PROJ	29	MLBPIT	1	0	1	4.69	4.69	21.0%	11.0%	-0.0
2028PROJ31% MLB	30	MLBPIT	9	0	9	4.76	4.83	20.8%	11.1%	-0.0

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

Contract

No contract data on file.

CompsJim Miller (age 30) · Dustin Molleken (age 30) · Diego Moreno (age 29)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 122114vR 106

ERA4.69

FIP4.69

K%21.0%

BB%11.0%

K-BB%10.0%

Proj IP39

Value2027 · WAR

Runs saved vs league avg · 39 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	27	10	77	362	93	44	19	37%	2.9	20.1%	13.2%	6.9%	4.9%	6.87	5.78	—
2021	23	MIX RAW	2 levels	27	10	77	362	93	44	19	37%	2.9	25.7%	12.2%	13.5%	5.2%	6.87	5.60	—
2022	24	MIX MLE	3 levels	8	2	14	61	11	12	0	25%	1.8	18.0%	19.7%	-1.6%	0.0%	4.40	4.07	—
2022	24	MIX RAW	3 levels	8	2	14	61	11	12	0	25%	1.8	18.0%	19.7%	-1.6%	0.0%	4.40	4.08	—
2023	25	MIX MLE	2 levels	39	0	55	236	61	34	8	0%	1.4	20.2%	16.2%	4.0%	3.6%	4.12	5.43	—
2023	25	MIX RAW	2 levels	39	0	55	236	61	34	8	0%	1.4	25.8%	14.4%	11.4%	3.4%	4.12	4.64	—
2024	26	AA MLE	Altoona Curve	35	2	57	263	58	31	2	6%	1.6	17.9%	13.0%	4.9%	1.1%	3.95	3.83	—
2024	26	AA MLE	Altoona Curve	35	2	57	263	58	31	2	6%	1.6	17.9%	13.0%	4.9%	1.1%	3.95	3.83	—
2024	26	AA RAW	Altoona Curve	35	2	57	263	58	31	2	6%	1.6	22.1%	11.8%	10.3%	0.8%	3.95	3.15	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	PIT	1	0	1	4	1	0	0	0%	1.0	21.0%	11.0%	10.0%	2.9%	4.69	4.69	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	PIT	29	0	30	127	26	14	4	0%	1.0	20.8%	11.1%	9.7%	3.1%	4.76	4.83	-0.1
2028	30	MLB CTX	PIT	9	0	9	38	8	4	1	0%	1.0	20.8%	11.1%	9.7%	3.1%	4.76	4.83	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	9	40	8	4	1	0%	1.0	20.8%	11.1%	9.7%	3.1%	4.76	4.45	+0.0
/ 200 IP	—	RAW		190	0	200	844	170	85	21	0%	1.1	20.8%	11.1%	9.7%	3.1%	4.76	4.45	+0.2
Career	—	MLE		109	14	203	922	179	132	29	13%	1.9	19.4%	14.3%	5.0%	3.2%	5.13	5.02	-0.1
/ 200 IP	—	MLE		107	14	200	907	176	130	29	13%	1.9	19.4%	14.3%	5.0%	3.2%	5.13	5.02	-0.7

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 AAAltoona Curve · 57 IPFIP 3.15 → 3.83 (+0.68)K% 22.1% → 17.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.05%	—	×0.810	17.86%
BB% (unintentional) /BF	11.79%	—	×1.100	12.97%
HR / BF /BF	0.76%	÷0.844	×1.200	1.08%

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 69).

Result: FIP 3.15 → 3.83, 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+Greensboro Grasshoppers · 32 IPFIP 3.91 → 4.87 (+0.96)K% 32.1% → 24.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.06%	—	×0.770	24.69%
BB% (unintentional) /BF	14.50%	—	×1.150	16.68%
HR / BF /BF	3.05%	÷1.202	×1.250	3.17%

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 140).

Result: FIP 3.91 → 4.87, 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 AAAltoona Curve · 23 IPFIP 5.47 → 6.12 (+0.65)K% 18.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.10%	—	×0.810	14.66%
BB% (unintentional) /BF	14.29%	—	×1.100	15.71%
HR / BF /BF	3.81%	÷1.106	×1.200	4.13%

Result: FIP 5.47 → 6.12, 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+Greensboro Grasshoppers · 10 IPFIP 4.85 → 5.50 (+0.65)K% 12.2% → 9.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.20%	—	×0.770	9.39%
BB% (unintentional) /BF	21.95%	—	×1.150	25.24%
HR / BF /BF	0.00%	÷1.273	×1.250	0.00%

Result: FIP 4.85 → 5.50, 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+Greensboro Grasshoppers · 76 IPFIP 5.03 → 5.78 (+0.75)K% 26.1% → 20.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.15%	—	×0.770	20.14%
BB% (unintentional) /BF	11.49%	—	×1.150	13.22%
HR / BF /BF	4.89%	÷1.238	×1.250	4.93%

Result: FIP 5.03 → 5.78, 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
Grant Ford (OGILVIE)	—	—	4.69	21.0%	11.0%	2.9%	—	4.83	20.8%	9.7%	30	+0.14	—	—	—
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	86
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	85
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	84
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	83
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	82
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	82
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	82
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
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	79
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	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	78
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	77
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	77
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	76
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	76
Blake Smith R 2016 · 3.59 FIP	28	SU	3.59	22.4%	8.6%	2.4%	.307	—	—	—	—	—	3.17	124	76
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	76
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	76
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	76
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	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	0.3	35	20.9%	11.1%	1.16	4.72
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
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
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*
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*