Cameron Foster

P Norfolk Tides

Age 28 RHP 6'5" / 240 lbs AAA peak 0.1 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	AANYM	27	9	72	3.64	3.85	21.5%	10.4%	—	K 17.4% · BB 11.5% · FIP 4.83
2025	26	MIX2 levels	34	1	46	3.11	2.02	32.6%	8.4%	—	K 27.2% · BB 8.1% · FIP 2.50
2026	27	MIX3 levels	22	0	26	9.35	6.22	21.8%	12.0%	-0.5	K 19.9% · BB 7.8% · FIP 5.03
2027PROJ	28	MLBBAL	38	0	40	4.44	4.44	22.9%	9.8%	0.1
2028PROJ77% MLB	29	MLBBAL	35	0	37	4.51	4.56	22.7%	10.0%	-0.0
2029PROJ82% MLB	30	MLBBAL	31	0	33	4.63	4.72	22.4%	10.2%	-0.1

Last 3 seasons WAR -0.5 · Next 3 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 -0.1 / P90 0.5, comp-based) · star 0% · didn't stick 95%

CompsMatt Ramsey (age 28) · Daniel Robert (age 28) · Coleman Huntley III (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 118109vR 101

ERA4.44

FIP4.44

K%22.9%

BB%9.8%

K-BB%13.1%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

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)
2023	24	A+ MLE	Brooklyn Cyclones	18	16	81	346	85	31	8	89%	4.5	18.9%	10.3%	8.6%	2.7%	4.20	4.31	—
2023	24	A+ RAW	Brooklyn Cyclones	18	16	81	346	85	31	8	89%	4.5	24.6%	9.0%	15.6%	2.3%	4.20	3.43	—
2024	25	AA MLE	Binghamton Rumble Ponies	27	9	72	317	68	33	7	33%	2.7	17.4%	11.5%	5.9%	3.2%	3.64	4.83	—
2024	25	AA MLE	Binghamton Rumble Ponies	27	9	72	317	68	33	7	33%	2.7	17.4%	11.5%	5.9%	3.2%	3.64	4.83	—
2024	25	AA RAW	Binghamton Rumble Ponies	27	9	72	317	68	33	7	33%	2.7	21.5%	10.4%	11.0%	2.2%	3.64	3.85	—
2025	26	MIX MLE	2 levels	34	1	46	190	62	16	2	3%	1.4	27.2%	8.1%	19.1%	1.2%	3.11	2.50	—
2025	26	MIX MLE	2 levels	34	1	46	190	62	16	2	3%	1.4	27.2%	8.1%	19.1%	1.2%	3.11	2.50	—
2025	26	MIX RAW	2 levels	34	1	46	190	62	16	2	3%	1.4	32.6%	8.4%	24.2%	1.1%	3.11	2.02	—
2026	27	MIX MLE	3 levels	22	0	26	133	29	16	7	0%	1.2	19.9%	7.8%	12.1%	4.8%	9.35	5.03	-0.1
2026	27	MIX MLE	3 levels	22	0	26	133	29	16	7	0%	1.2	19.9%	7.8%	12.1%	4.8%	9.35	5.03	-0.1
2026	27	MIX RAW	3 levels	22	0	26	133	29	16	7	0%	1.2	21.8%	12.0%	9.8%	5.3%	9.35	6.22	-0.5
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			6	0	9	49	9	8	1	0%	1.5	18.4%	16.3%	2.0%	2.0%	9.00	5.21	-0.1
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	BAL	38	0	40	169	39	17	5	0%	1.1	22.9%	9.8%	13.1%	3.0%	4.44	4.44	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	BAL	45	0	48	201	46	20	6	0%	1.1	22.7%	10.0%	12.7%	3.2%	4.51	4.56	-0.0
2029	30	MLB MLE	BAL	39	0	40	171	38	17	6	0%	1.0	22.4%	10.2%	12.2%	3.4%	4.63	4.72	-0.1
2028	29	MLB CTX	BAL	35	0	37	156	35	16	5	0%	1.1	22.7%	10.0%	12.7%	3.2%	4.51	4.56	-0.0
2029	30	MLB CTX	BAL	31	0	33	139	31	14	5	0%	1.1	22.4%	10.2%	12.2%	3.4%	4.63	4.72	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		73	0	79	344	76	38	11	0%	1.1	22.0%	11.0%	11.0%	3.1%	5.07	4.33	+0.2
/ 200 IP	—	RAW		184	0	200	872	193	96	28	0%	1.1	22.0%	11.0%	11.0%	3.1%	5.07	4.33	+0.5
Career	—	MLE		101	26	225	986	199	98	28	26%	2.2	20.1%	9.9%	10.2%	2.9%	4.39	4.23	-0.2
/ 200 IP	—	MLE		90	23	200	875	176	87	25	26%	2.2	20.1%	9.9%	10.2%	2.9%	4.39	4.23	-0.3

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 AAANorfolk Tides · 14 IPFIP 4.63 → 5.03 (+0.40)K% 23.2% → 19.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.19%	—	×0.860	19.94%
BB% (unintentional) /BF	8.70%	—	×0.900	7.83%
HR / BF /BF	4.35%	÷1.000	×1.100	4.78%

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 4.63 → 5.03, 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 AABinghamton Rumble Ponies · 27 IPFIP 0.86 → 1.47 (+0.61)K% 34.0% → 27.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.00%	—	×0.810	27.54%
BB% (unintentional) /BF	5.00%	—	×1.100	5.50%
HR / BF /BF	0.00%	÷0.990	×1.200	0.00%

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 0.86 → 1.47, 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 AAANorfolk Tides · 20 IPFIP 3.24 → 3.65 (+0.41)K% 31.1% → 26.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.11%	—	×0.860	26.76%
BB% (unintentional) /BF	12.22%	—	×0.900	11.00%
HR / BF /BF	2.22%	÷0.945	×1.100	2.59%

Result: FIP 3.24 → 3.65, 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 AABinghamton Rumble Ponies · 72 IPFIP 3.82 → 4.83 (+1.01)K% 21.5% → 17.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.45%	—	×0.810	17.38%
BB% (unintentional) /BF	10.41%	—	×1.100	11.45%
HR / BF /BF	2.21%	÷0.834	×1.200	3.18%

Result: FIP 3.82 → 4.83, 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+Brooklyn Cyclones · 81 IPFIP 3.43 → 4.31 (+0.88)K% 24.6% → 18.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.57%	—	×0.770	18.92%
BB% (unintentional) /BF	8.96%	—	×1.150	10.30%
HR / BF /BF	2.31%	÷1.054	×1.250	2.74%

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 111).

Result: FIP 3.43 → 4.31, 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
Cameron Foster (OGILVIE)	—	—	—	—	—	3.0%	—	4.63	22.6%	12.5%	88	+0.19	—	—	—
Matt Ramsey R 2018 · 3.78 FIP	28	SU	3.78	24.9%	8.8%	3.0%	.276	2.42	21.7%	12.6%	34	-1.36	2.42	125	76
Daniel Robert R 2023 · 3.45 FIP	28	SU	3.45	22.7%	10.7%	1.7%	.310	3.02	25.4%	17.1%	87	-0.43	2.32	186	75
Coleman Huntley III R 2021 · 3.85 FIP	28	SW	3.85	20.2%	7.4%	2.8%	.348	3.56	23.4%	13.2%	86	-0.29	2.38	160	74
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	74
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	74
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	74
Nelson Gonzalez R 2018 · 5.03 FIP	28	SW	5.03	19.2%	8.2%	4.6%	.311	6.22	16.9%	4.6%	74	+1.19	3.42	258	74
Luis Santos R 2019 · 4.31 FIP	28	SU	4.31	22.9%	10.0%	3.4%	.312	—	—	—	—	—	3.53	472	73
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	73
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	73
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	72
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	72
Michael Dimock R 2018 · 3.37 FIP	28	SU	3.37	23.5%	10.7%	1.6%	.346	—	—	—	—	—	3.08	166	72
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	72
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	72
Gerardo Sanchez R 2017 · 3.47 FIP	28	SU	3.47	21.6%	8.4%	2.1%	.355	3.58	20.5%	15.1%	56	+0.11	2.65	137	72
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	72
Francisco Del Rosario R 2007 · 3.93 FIP	26	SU	3.93	19.7%	9.4%	2.4%	.356	—	—	—	—	—	3.93	194	72
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	72
Edwin Quirarte R 2015 · 3.41 FIP	28	SW	3.41	16.7%	6.2%	1.7%	.311	3.48	12.7%	4.9%	83	+0.06	3.16	157	71

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	52	22.4%	10.4%	1.19	4.77
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Josh Lindblom ('21)	1.0	52	22.1%	9.6%	1.25	4.78
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*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*