Scott Blewett

P Memphis Redbirds

Age 31 RHP 6'6" / 245 lbs AAA peak 0.1 · 2027

Overview

AAARP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	28	MIX2 levels	50	3	75	3.24	2.93	22.3%	6.8%	1.5	K 20.0% · BB 6.3% · FIP 3.09
2025	29	MIX2 levels	35	4	53	6.11	5.19	17.3%	8.9%	-0.4	K 18.0% · BB 9.3% · FIP 5.19
2026	30	MIX2 levels	63	2	86	4.29	3.22	25.4%	7.6%	1.4	K 23.1% · BB 7.1% · FIP 3.43
2027PROJ	31	MLBOAK	43	0	45	4.21	4.31	22.3%	8.2%	0.1
2028PROJ92% MLB	32	MLBOAK	31	0	33	4.42	4.57	21.5%	8.6%	-0.0
2029PROJ93% MLB	33	MLBOAK	22	0	23	4.68	4.85	20.7%	9.0%	-0.1

Last 3 seasons WAR 2.4 · Next 3 projected WAR 0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo65

xwOBA vs61

K%44

Form4.24 ERA (proj 4.21) · K 28.4% (proj 22.3%) · BB 6.8% (proj 8.2%) ▲▲ last 60d · 17 IP through Oct 27

CompsRobert Stock (age 31) · Elian Leyva (age 30) · Josh A. Smith (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109101vR 93

ERA4.21

FIP4.31

K%22.3%

BB%8.2%

K-BB%14.1%

Proj IP50

Value2027 · WAR

Runs saved vs league avg · 50 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p6595.6

Whiff%

p5425.9%

p4421.3%

xwOBA vs

p610.301

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	19	A MLE	Lexington Legends	18	18	81	353	60	24	6	100%	4.5	12.6%	8.0%	4.6%	2.0%	5.20	4.15	—
2015	19	A RAW	Lexington Legends	18	18	81	353	60	24	6	100%	4.5	17.0%	6.8%	10.2%	1.7%	5.20	3.47	—
2016	20	A MLE	Lexington Legends	25	25	129	569	121	51	10	100%	5.2	15.7%	10.6%	5.2%	1.7%	4.31	4.06	—
2016	20	A RAW	Lexington Legends	25	25	129	569	121	51	10	100%	5.2	21.3%	9.0%	12.3%	1.8%	4.31	3.42	—
2017	21	A+ MLE	Wilmington Blue Rocks	27	27	153	658	129	51	16	100%	5.7	15.1%	8.9%	6.2%	3.8%	4.07	5.01	—
2017	21	A+ RAW	Wilmington Blue Rocks	27	27	153	658	129	51	16	100%	5.7	19.6%	7.8%	11.9%	2.4%	4.07	3.77	—
2018	22	AA MLE	Northwest Arkansas Naturals	26	25	148	650	100	47	12	96%	5.7	12.5%	8.0%	4.5%	2.2%	4.79	4.26	—
2018	22	AA RAW	Northwest Arkansas Naturals	26	25	148	650	100	47	12	96%	5.7	15.4%	7.2%	8.2%	1.8%	4.79	3.75	—
2019	23	MIX MLE	2 levels	23	21	107	503	90	54	26	91%	4.6	15.3%	11.4%	3.9%	5.7%	7.34	6.35	—
2019	23	MIX RAW	2 levels	23	21	107	503	90	54	26	91%	4.6	17.9%	10.7%	7.2%	5.2%	7.34	6.10	—
2020	24	MLB MLE	Kansas City Royals	2	0	3	16	4	1	0	0%	1.5	25.0%	6.2%	18.8%	0.0%	6.00	1.78	+0.1
2020	24	MLB RAW	Kansas City Royals	2	0	3	16	4	1	0	0%	1.5	25.0%	6.2%	18.8%	0.0%	6.00	1.43	+0.1
2021	25	MIX MLE	3 levels	28	12	78	356	70	36	20	43%	2.8	17.7%	10.2%	7.5%	6.4%	5.88	6.40	-1.6
2021	25	MIX RAW	3 levels	28	12	78	356	70	36	20	43%	2.8	19.7%	10.1%	9.6%	5.6%	5.88	6.02	-1.3
2022	26	MIX MLE	2 levels	27	25	123	556	109	48	17	93%	4.6	16.0%	9.5%	6.5%	3.2%	5.78	4.71	—
2022	26	MIX RAW	2 levels	27	25	123	556	109	48	17	93%	4.6	19.6%	8.6%	11.0%	3.1%	5.78	4.30	—
2023	27	AA MLE	Mississippi Braves	17	13	73	308	76	29	7	76%	4.3	20.0%	10.4%	9.6%	3.4%	4.21	4.61	—
2023	27	AA RAW	Mississippi Braves	17	13	73	308	76	29	7	76%	4.3	24.7%	9.4%	15.3%	2.3%	4.21	3.46	—
2024	28	MIX MLE	2 levels	50	3	75	323	72	22	5	6%	1.5	20.0%	6.3%	13.6%	1.6%	3.24	3.09	+1.3
2024	28	MIX MLE	2 levels	50	3	75	323	72	22	5	6%	1.5	20.0%	6.3%	13.6%	1.6%	3.24	3.09	+1.3
2024	28	MIX RAW	2 levels	50	3	75	323	72	22	5	6%	1.5	22.3%	6.8%	15.5%	1.5%	3.24	2.93	+1.5
2025	29	MIX MLE	2 levels	35	4	53	237	41	21	10	11%	1.5	18.0%	9.3%	8.8%	4.4%	6.11	5.19	-0.4
2025	29	MIX MLE	2 levels	35	4	53	237	41	21	10	11%	1.5	18.0%	9.3%	8.8%	4.4%	6.11	5.19	-0.4
2025	29	MIX RAW	2 levels	35	4	53	237	41	21	10	11%	1.5	17.3%	8.9%	8.4%	4.2%	6.11	5.19	-0.4
2026	30	MIX MLE	2 levels	63	2	86	382	97	29	9	3%	1.4	23.1%	7.1%	16.0%	2.5%	4.29	3.43	+1.1
2026	30	MIX MLE	2 levels	63	2	86	382	97	29	9	3%	1.4	23.1%	7.1%	16.0%	2.5%	4.29	3.43	+1.1
2026	30	MIX RAW	2 levels	63	2	86	382	97	29	9	3%	1.4	25.4%	7.6%	17.8%	2.4%	4.29	3.22	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			69	2	110	476	95	40	15	3%	1.6	20.0%	8.4%	11.6%	3.2%	3.85	4.24	+0.4
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	31	MLB	OAK	43	0	45	190	42	16	6	0%	1.0	22.3%	8.2%	14.1%	3.1%	4.21	4.31	+0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	32	MLB MLE	OAK	34	0	36	151	33	13	5	0%	1.1	21.5%	8.6%	12.9%	3.3%	4.42	4.57	-0.0
2029	33	MLB MLE	OAK	23	0	24	103	21	9	4	0%	1.1	20.7%	9.0%	11.6%	3.6%	4.68	4.85	-0.1
2028	32	MLB CTX	OAK	31	0	33	139	30	12	5	0%	1.1	21.5%	8.6%	12.9%	3.3%	4.42	4.57	-0.0
2029	33	MLB CTX	OAK	22	0	23	97	20	9	3	0%	1.0	20.7%	9.0%	11.6%	3.6%	4.68	4.85	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		122	2	165	710	145	61	23	2%	1.4	20.4%	8.5%	11.8%	3.2%	4.07	4.24	+0.6
/ 200 IP	—	RAW		147	2	200	858	175	74	28	2%	1.4	20.4%	8.5%	11.8%	3.2%	4.07	4.24	+0.7
Career	—	MLE		341	175	1109	4911	804	447	161	51%	3.3	16.4%	9.1%	7.3%	3.3%	4.98	4.67	+2.0
/ 200 IP	—	MLE		61	32	200	886	145	81	29	51%	3.3	16.4%	9.1%	7.3%	3.3%	4.98	4.67	+2.4

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 AAAMemphis Redbirds · 49 IPFIP 3.02 → 3.37 (+0.35)K% 28.4% → 24.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.38%	—	×0.860	24.41%
BB% (unintentional) /BF	8.56%	—	×0.900	7.70%
HR / BF /BF	2.25%	÷1.000	×1.100	2.48%

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 3.02 → 3.37, 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 · 9 IPFIP 4.08 → 4.37 (+0.29)K% 14.0% → 12.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.95%	—	×0.860	12.00%
BB% (unintentional) /BF	6.98%	—	×0.900	6.28%
HR / BF /BF	2.33%	÷0.945	×1.100	2.71%

Result: FIP 4.08 → 4.37, 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 AAASt. Paul Saints · 55 IPFIP 2.73 → 2.95 (+0.22)K% 22.7% → 19.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.69%	—	×0.860	19.51%
BB% (unintentional) /BF	6.72%	—	×0.900	6.05%
HR / BF /BF	1.26%	÷1.039	×1.100	1.33%

Result: FIP 2.73 → 2.95, 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 AAMississippi Braves · 73 IPFIP 3.46 → 4.61 (+1.15)K% 24.7% → 20.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	24.68%	—	×0.810	19.99%
BB% (unintentional) /BF	9.42%	—	×1.100	10.36%
HR / BF /BF	2.27%	÷0.793	×1.200	3.44%

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 59).

Result: FIP 3.46 → 4.61, 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 AABirmingham Barons · 111 IPFIP 3.98 → 4.61 (+0.63)K% 20.0% → 16.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.04%	—	×0.810	16.23%
BB% (unintentional) /BF	8.91%	—	×1.100	9.80%
HR / BF /BF	2.63%	÷1.056	×1.200	2.99%

Result: FIP 3.98 → 4.61, 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 AAACharlotte Knights · 12 IPFIP 6.10 → 5.50 (−0.60)K% 16.1% → 14.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.13%	—	×0.880	14.19%
BB% (unintentional) /BF	6.45%	—	×1.050	6.77%
HR / BF /BF	6.45%	÷1.421	×1.100	4.99%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 184).

Result: FIP 6.10 → 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 AAAOmaha Storm Chasers · 69 IPFIP 5.91 → 6.40 (+0.50)K% 20.1% → 17.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.06%	—	×0.880	17.66%
BB% (unintentional) /BF	9.72%	—	×1.050	10.20%
HR / BF /BF	5.96%	÷1.027	×1.100	6.38%

Result: FIP 5.91 → 6.40, 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).

2019 AAAOmaha Storm Chasers · 81 IPFIP 6.69 → 7.15 (+0.46)K% 14.1% → 12.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	14.07%	—	×0.880	12.38%
BB% (unintentional) /BF	11.56%	—	×1.050	12.14%
HR / BF /BF	6.03%	÷1.023	×1.100	6.48%

Result: FIP 6.69 → 7.15, 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
Scott Blewett (OGILVIE)	—	—	—	—	—	3.1%	—	4.68	21.2%	12.4%	60	+0.37	—	—	—
Robert Stock R 2021 · 4.18 FIP	31	SW	4.18	23.0%	8.5%	3.5%	.301	7.20	14.3%	0.1%	23	+3.02	2.74	378	74
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	68
Josh A. Smith R 2019 · 4.65 FIP	31	SW	4.65	20.8%	6.4%	4.5%	.341	3.67	17.4%	8.6%	59	-0.98	2.91	598	67
Mitch Lively R 2017 · 3.47 FIP	31	SP-	3.47	17.0%	6.4%	1.8%	.304	—	—	—	—	—	2.39	158	65
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	65
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	65
David Hale R 2019 · 3.30 FIP	31	SW	3.30	16.4%	5.5%	1.6%	.307	4.23	18.3%	12.1%	44	+0.93	3.30	581	64
Angel Sánchez R 2023 · 4.90 FIP	33	SW	4.90	19.0%	10.5%	3.8%	.333	3.77	11.8%	6.8%	27	-1.13	3.77	284	62
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	62
Jared Fernandez R 2003 · 3.57 FIP	31	SP-	3.57	11.8%	6.2%	1.2%	.269	—	—	—	—	—	3.57	101	61
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	61
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	60
Samuel Deduno R 2014 · 3.92 FIP	31	SW	3.92	18.7%	9.9%	2.1%	.287	3.84	19.8%	12.3%	39	-0.08	2.99	327	58
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	58
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	58
Tim Dillard R 2015 · 3.58 FIP	32	SW	3.58	15.9%	7.7%	1.5%	.330	3.85	16.7%	8.1%	144	+0.27	2.92	432	58
Brad Peacock R 2019 · 4.22 FIP	31	SP-	4.22	25.1%	8.1%	4.0%	.261	4.15	22.8%	12.5%	96	-0.07	2.97	748	57
Odrisamer Despaigne R 2018 · 3.13 FIP	31	SW	3.13	18.5%	8.1%	1.0%	.370	3.77	19.4%	10.5%	138	+0.64	3.13	689	57
Mike Wright Jr. R 2021 · 3.89 FIP	31	SP-	3.89	19.1%	8.8%	2.4%	.237	4.79	14.4%	1.1%	56	+0.90	3.76	725	57
Paolo Espino R 2018 · 4.51 FIP	31	SW	4.51	18.7%	9.6%	3.2%	.348	4.42	20.4%	14.7%	202	-0.09	3.42	933	57

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	37	20.8%	8.8%	1.24	4.11
Tyler Walker ('10)	1.5	50	18.9%	8.5%	1.11	4.23
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
John Johnstone ('00)	1.4	56	19.4%	9.5%	1.23	4.01
Kevin Hickey ('81-'91, 0 WAR*)	1.2	47	17.7%*	10.2%*	1.10*	4.27*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*