Cam Booser

P Tampa Bay Rays

Age 35 LHP 6'3" / 230 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	32	MIX3 levels	52	54	3.81	2.95	27.4%	8.0%	1.0	K 26.2% · BB 8.0% · FIP 3.11
2025	33	MIX2 levels	55	46	6.11	6.06	26.8%	12.7%	-0.8	K 25.3% · BB 12.3% · FIP 5.52
2026	34	MIX2 levels	65	61	1.92	2.66	29.7%	4.7%	1.4	K 28.3% · BB 4.5% · FIP 2.76
2027PROJ	35	MLBTB	45	47	3.87	4.01	27.7%	7.9%	0.3
2028PROJ83% MLB	36	MLBTB	30	32	4.17	4.37	26.7%	8.5%	0.1
2029PROJ74% MLB	37	MLBTB	17	18	4.53	4.77	25.6%	9.2%	-0.0

Last 3 seasons WAR 1.6 · Next 3 projected WAR 0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%90

xwOBA vs90

FB Velo67

Form2.21 ERA (proj 3.87) · K 24.7% (proj 27.7%) · BB 2.6% (proj 7.9%) · last 90d · 20 IP through Oct 27

CompsRaul Valdes (age 35) · Juan Pablo Perez (age 34) · Brian Shouse (age 35)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 7886vR 94

ERA3.87

FIP4.01

K%27.7%

BB%7.9%

K-BB%19.8%

Proj IP51

Value2027 · WAR

Runs saved vs league avg · 51 IP

Grades · Statcast · Contract

Scouting Grades

STUF5555

CTRL4040

CMD4545

K†6565

Statcast Percentiles

FB Velo

p6795.7

Whiff%

p7128.6%

p9029.6%

xwOBA vs

p900.252

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)
2015	23	A MLE	Cedar Rapids Kernels	32	0	46	204	64	40	1	0%	1.4	23.2%	23.1%	0.1%	0.6%	3.72	4.38	—
2015	23	A RAW	Cedar Rapids Kernels	32	0	46	204	64	40	1	0%	1.4	31.4%	19.6%	11.8%	0.5%	3.72	3.21	—
2016	24	MIX MLE	2 levels	21	0	25	130	34	31	3	0%	1.2	19.8%	28.0%	-8.1%	3.0%	8.53	6.61	—
2016	24	MIX RAW	2 levels	21	0	25	130	34	31	3	0%	1.2	26.2%	23.8%	2.3%	2.3%	8.53	5.63	—
2017	25	A+ MLE	Fort Myers Miracle	3	0	3	16	0	7	0	0%	0.9	0.0%	43.8%	-43.8%	0.0%	3.38	8.64	—
2017	25	A+ RAW	Fort Myers Miracle	3	0	3	16	0	7	0	0%	0.9	0.0%	43.8%	-43.8%	0.0%	3.38	10.97	—
2022	30	AA MLE	Amarillo Sod Poodles	19	0	25	117	30	22	5	0%	1.3	20.8%	20.7%	0.1%	4.7%	6.48	6.54	—
2022	30	AA RAW	Amarillo Sod Poodles	19	0	25	117	30	22	5	0%	1.3	25.6%	18.8%	6.8%	4.3%	6.48	5.94	—
2023	31	AAA MLE	Worcester Red Sox	48	0	58	247	66	24	11	0%	1.2	23.0%	8.7%	14.2%	4.9%	4.99	4.94	—
2023	31	AAA RAW	Worcester Red Sox	48	0	58	247	66	24	11	0%	1.2	26.7%	9.7%	17.0%	4.5%	4.99	4.54	—
2024	32	MIX MLE	3 levels	52	0	54	237	65	19	5	0%	1.0	26.2%	8.0%	18.2%	2.2%	3.81	3.11	+0.9
2024	32	MIX MLE	3 levels	52	0	54	237	65	19	5	0%	1.0	26.2%	8.0%	18.2%	2.2%	3.81	3.11	+0.9
2024	32	MIX RAW	3 levels	52	0	54	237	65	19	5	0%	1.0	27.4%	8.0%	19.4%	2.1%	3.81	2.95	+1.0
2025	33	MIX MLE	2 levels	55	0	46	220	59	28	13	0%	0.8	25.3%	12.3%	13.0%	5.5%	6.11	5.52	-0.5
2025	33	MIX MLE	2 levels	55	0	46	220	59	28	13	0%	0.8	25.3%	12.3%	13.0%	5.5%	6.11	5.52	-0.5
2025	33	MIX RAW	2 levels	55	0	46	220	59	28	13	0%	0.8	26.8%	12.7%	14.1%	5.9%	6.11	6.06	-0.8
2026	34	MIX MLE	2 levels	65	0	61	232	69	11	6	0%	0.9	28.3%	4.5%	23.8%	2.7%	1.92	2.76	+1.3
2026	34	MIX MLE	2 levels	65	0	61	232	69	11	6	0%	0.9	28.3%	4.5%	23.8%	2.7%	1.92	2.76	+1.3
2026	34	MIX RAW	2 levels	65	0	61	232	69	11	6	0%	0.9	29.7%	4.7%	25.0%	2.6%	1.92	2.66	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			124	0	115	478	123	39	18	0%	0.9	25.7%	8.2%	17.6%	3.8%	3.45	4.02	+0.7
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	35	MLB	TB	45	0	47	198	55	16	7	0%	1.0	27.7%	7.9%	19.8%	3.4%	3.87	4.01	+0.3
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	36	MLB MLE	TB	36	0	38	161	43	14	6	0%	1.1	26.7%	8.5%	18.2%	3.8%	4.17	4.37	+0.1
2029	37	MLB MLE	TB	24	0	25	106	27	10	4	0%	1.0	25.6%	9.2%	16.4%	4.2%	4.53	4.77	-0.1
2028	36	MLB CTX	TB	30	0	32	135	36	11	5	0%	1.1	26.7%	8.5%	18.2%	3.8%	4.17	4.37	+0.1
2029	37	MLB CTX	TB	17	0	18	76	19	7	3	0%	1.1	25.6%	9.2%	16.4%	4.2%	4.53	4.77	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		172	0	165	690	179	58	26	0%	1.0	25.9%	8.3%	17.6%	3.8%	3.71	4.06	+1.0
/ 200 IP	—	RAW		208	0	200	837	217	70	32	0%	1.0	25.9%	8.3%	17.6%	3.8%	3.71	4.06	+1.2
Career	—	MLE		295	0	318	1403	338	193	46	0%	1.1	24.1%	13.7%	10.3%	3.3%	4.56	4.61	+0.7
/ 200 IP	—	MLE		186	0	200	883	213	121	29	0%	1.1	24.1%	13.7%	10.3%	3.3%	4.56	4.61	+0.8

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 AAADurham Bulls · 20 IPFIP 2.04 → 2.39 (+0.34)K% 30.0% → 25.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.860	25.80%
BB% (unintentional) /BF	6.25%	—	×0.900	5.62%
HR / BF /BF	1.25%	÷1.000	×1.100	1.38%

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 2.04 → 2.39, 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 AAACharlotte Knights · 15 IPFIP 5.68 → 5.29 (−0.39)K% 31.2% → 26.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.17%	—	×0.860	26.81%
BB% (unintentional) /BF	12.99%	—	×0.900	11.69%
HR / BF /BF	6.49%	÷1.320	×1.100	5.41%

Result: FIP 5.68 → 5.29, 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 AAAWorcester Red Sox · 11 IPFIP 0.57 → 0.96 (+0.40)K% 42.0% → 36.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	42.00%	—	×0.860	36.12%
BB% (unintentional) /BF	8.00%	—	×0.900	7.20%
HR / BF /BF	0.00%	÷0.996	×1.100	0.00%

Result: FIP 0.57 → 0.96, 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 AAAWorcester Red Sox · 58 IPFIP 4.52 → 4.94 (+0.42)K% 26.7% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.72%	—	×0.860	22.98%
BB% (unintentional) /BF	9.72%	—	×0.900	8.74%
HR / BF /BF	4.45%	÷1.008	×1.100	4.86%

Result: FIP 4.52 → 4.94, 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 AAAmarillo Sod Poodles · 25 IPFIP 5.66 → 6.54 (+0.88)K% 25.6% → 20.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.64%	—	×0.810	20.77%
BB% (unintentional) /BF	18.80%	—	×1.100	20.68%
HR / BF /BF	4.27%	÷1.094	×1.200	4.69%

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 119).

Result: FIP 5.66 → 6.54, 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).

2016 ACedar Rapids Kernels · 12 IPFIP 6.14 → 7.29 (+1.15)K% 18.7% → 13.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	18.67%	—	×0.740	13.81%
BB% (unintentional) /BF	30.67%	—	×1.180	36.19%
HR / BF /BF	1.33%	÷1.232	×1.300	1.41%

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 146).

Result: FIP 6.14 → 7.29, 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).

2016 A+Fort Myers Miracle · 13 IPFIP 3.87 → 5.69 (+1.82)K% 36.4% → 28.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.36%	—	×0.770	28.00%
BB% (unintentional) /BF	14.55%	—	×1.150	16.73%
HR / BF /BF	3.64%	÷0.881	×1.250	5.16%

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 76).

Result: FIP 3.87 → 5.69, 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).

2015 ACedar Rapids Kernels · 46 IPFIP 3.20 → 4.38 (+1.18)K% 31.4% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.37%	—	×0.740	23.22%
BB% (unintentional) /BF	19.61%	—	×1.180	23.14%
HR / BF /BF	0.49%	÷1.134	×1.300	0.56%

Result: FIP 3.20 → 4.38, 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
Cam Booser (OGILVIE)	—	—	4.01	27.7%	7.9%	3.4%	—	4.53	26.3%	17.5%	63	+0.52	—	—	—
Raul Valdes L 2013 · 4.07 FIP	35	SU	4.07	24.3%	5.3%	4.3%	.350	—	—	—	—	—	2.29	160	75
Juan Pablo Perez L 2013 · 3.68 FIP	34	SU	3.68	25.2%	11.5%	2.3%	.250	3.68	26.5%	11.2%	51	-0.00	1.75	104	68
Brian Shouse L 2004 · 3.47 FIP	35	SU	3.47	18.5%	8.2%	1.6%	.250	3.57	14.8%	8.9%	139	+0.10	2.32	339	63
Mike Zagurski L 2018 · 3.12 FIP	35	SU	3.12	30.4%	9.3%	2.6%	.330	—	—	—	—	—	2.94	120	63
Brooks Raley L 2023 · 3.03 FIP	35	SU	3.03	25.8%	9.3%	1.7%	.268	3.00	23.6%	15.9%	78	-0.03	1.74	294	62
Heriberto Ruelas L 2017 · 3.42 FIP	35	SU	3.42	17.2%	6.7%	1.7%	.294	—	—	—	—	—	2.95	117	61
Tim Byrdak L 2009 · 5.07 FIP	35	SU	5.07	22.2%	13.8%	3.8%	.185	3.48	23.8%	13.5%	107	-1.59	2.85	320	57
Hideki Okajima L 2010 · 4.27 FIP	34	SU	4.27	15.5%	7.0%	2.9%	.333	—	—	—	—	—	3.05	238	57
Hisanori Takahashi L 2010 · 3.50 FIP	35	SW	3.50	22.1%	7.0%	2.5%	.292	3.81	21.1%	15.0%	118	+0.31	3.50	240	57
John Bale L 2009 · 4.31 FIP	35	SU	4.31	17.6%	11.8%	2.2%	.333	—	—	—	—	—	2.49	168	56
Brandon Mann L 2018 · 3.59 FIP	34	SU	3.59	17.8%	11.4%	1.0%	.232	—	—	—	—	—	3.59	190	51
Clay Rapada L 2015 · 3.84 FIP	34	SU	3.84	14.3%	8.0%	1.7%	.299	—	—	—	—	—	3.00	120	50
Scott Rice L 2015 · 3.67 FIP	33	SU	3.67	22.9%	17.2%	0.6%	.266	—	—	—	—	—	3.10	104	47
Jumbo Diaz R 2019 · 2.98 FIP	35	SU	2.98	25.0%	7.7%	1.8%	.290	—	—	—	—	—	2.80	319	40
Matt Bush R 2022 · 3.73 FIP	36	SU	3.73	30.3%	6.6%	4.3%	.224	3.79	26.2%	17.5%	36	+0.06	2.87	249	35
Brendan Donnelly R 2006 · 4.21 FIP	35	SU	4.21	19.1%	9.0%	2.9%	.260	3.19	18.6%	10.1%	60	-1.02	2.23	385	35
Tony Pena Jr. R 2016 · 2.87 FIP	35	SU	2.87	21.5%	4.3%	1.9%	.249	3.43	10.9%	6.6%	22	+0.56	2.80	128	35
Jean Machi R 2017 · 4.12 FIP	35	SU	4.12	18.6%	6.6%	3.2%	.285	—	—	—	—	—	2.16	306	34
Toby Borland R 2004 · 4.28 FIP	35	SU	4.28	20.9%	8.1%	3.5%	.259	—	—	—	—	—	2.92	248	34
Neil Wagner R 2017 · 3.11 FIP	33	SU	3.11	20.7%	8.6%	1.2%	.257	—	—	—	—	—	3.11	135	34

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	1.1	38	26.3%	8.5%	1.44	3.78
Blake Parker ('21)	1.7	58	26.7%	7.9%	1.30	3.47
Matt Bush ('23)	1.1	53	25.2%	8.0%	1.41	3.75
Shawn Tolleson ('16)	1.1	54	23.1%	8.3%	1.28	3.92
Alberto Reyes ('95-'08, 5 WAR*)	2.1	54	27.1%*	10.2%*	1.18*	3.66*
Buddy Schultz ('75-'79, 2 WAR*)	1.2	60	27.4%*	8.5%*	1.21*	4.14*
Mike Schooler ('88-'93, 5 WAR*)	1.5	49	26.9%*	8.0%*	0.96*	3.68*