Alonzo Tredwell

P Corpus Christi Hooks

Age 25 RHP 6'8" / 245 lbs AA peak 0.1 · 2029

Overview

AAPROSPECT

ETA2028MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	AHOU	17	14	57	5.37	3.43	26.1%	14.8%	—	K 19.3% · BB 17.4% · FIP 4.43
2025	23	MIX3 levels	26	16	100	3.69	3.18	28.6%	10.5%	—	K 22.0% · BB 12.1% · FIP 4.19
2026	24	AAHOU	4	4	9	10.61	10.39	8.0%	42.0%	—	K 6.5% · BB 46.2% · FIP 9.72
2027PROJ	25	MLBHOU	1	1	2	5.64	5.64	19.8%	17.9%	-0.0
2028PROJ44% MLB	26	MLBHOU	6	6	39	5.48	5.46	20.4%	16.9%	-0.0
2029PROJ63% MLB	27	MLBHOU	8	8	49	5.40	5.41	20.5%	16.2%	-0.0

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 0.4, comp-based) · star 0% · didn't stick 98%

CompsJ.P. France (age 24) · Luis Quiñones (age 25) · Bryce Conley (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.64

FIP5.64

K%19.8%

BB%17.9%

K-BB%1.9%

Proj IP120

Value2027 · WAR

Runs saved vs league avg · 120 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)
2024	22	A MLE	Fayetteville Woodpeckers	17	14	57	257	67	38	3	82%	3.4	19.3%	17.4%	1.8%	1.4%	5.37	4.43	—
2024	22	A MLE	Fayetteville Woodpeckers	17	14	57	257	67	38	3	82%	3.4	19.3%	17.4%	1.8%	1.4%	5.37	4.43	—
2024	22	A RAW	Fayetteville Woodpeckers	17	14	57	257	67	38	3	82%	3.4	26.1%	14.8%	11.3%	1.2%	5.37	3.43	—
2025	23	MIX MLE	3 levels	26	16	100	427	122	45	9	62%	3.8	22.0%	12.1%	9.9%	2.6%	3.69	4.19	—
2025	23	MIX MLE	3 levels	26	16	100	427	122	45	9	62%	3.8	22.0%	12.1%	9.9%	2.6%	3.69	4.19	—
2025	23	MIX RAW	3 levels	26	16	100	427	122	45	9	62%	3.8	28.6%	10.5%	18.0%	2.1%	3.69	3.18	—
2026	24	AA MLE	Corpus Christi Hooks	4	4	9	50	4	21	1	100%	2.3	6.5%	46.2%	-39.7%	2.4%	10.61	9.72	—
2026	24	AA MLE	Corpus Christi Hooks	4	4	9	50	4	21	1	100%	2.3	6.5%	46.2%	-39.7%	2.4%	10.61	9.72	—
2026	24	AA RAW	Corpus Christi Hooks	4	4	9	50	4	21	1	100%	2.3	8.0%	42.0%	-34.0%	2.0%	10.61	10.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	HOU	1	1	2	8	2	2	0	100%	2.0	19.8%	17.9%	1.9%	2.8%	5.64	5.64	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	HOU	15	15	89	376	77	63	11	100%	5.9	20.4%	16.9%	3.5%	2.9%	5.48	5.46	-0.1
2029	27	MLB MLE	HOU	13	13	78	327	67	53	10	100%	6.0	20.5%	16.2%	4.3%	2.9%	5.40	5.41	-0.0
2030	28	MLB MLE	HOU	12	12	71	301	62	48	9	100%	6.0	20.5%	16.0%	4.5%	3.0%	5.40	5.43	-0.0
2031	29	MLB MLE	HOU	11	11	66	279	56	45	9	100%	6.0	20.3%	16.0%	4.3%	3.2%	5.47	5.53	-0.1
2032	30	MLB MLE	HOU	10	10	60	253	50	41	9	100%	6.0	19.9%	16.3%	3.6%	3.4%	5.62	5.71	-0.2
2028	26	MLB CTX	HOU	6	6	39	165	34	28	5	100%	6.5	20.4%	16.9%	3.5%	2.9%	5.48	5.46	-0.0
2029	27	MLB CTX	HOU	8	8	49	207	42	34	6	100%	6.1	20.5%	16.2%	4.3%	2.9%	5.40	5.41	-0.0
2030	28	MLB CTX	HOU	9	9	54	228	47	36	7	100%	6.0	20.5%	16.0%	4.5%	3.0%	5.40	5.43	-0.0
2031	29	MLB CTX	HOU	9	9	54	228	46	36	7	100%	6.0	20.3%	16.0%	4.3%	3.2%	5.47	5.53	-0.1
2032	30	MLB CTX	HOU	8	8	51	215	43	35	7	100%	6.4	19.9%	16.3%	3.6%	3.4%	5.62	5.71	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		41	41	247	1045	212	170	32	100%	6.0	20.3%	16.2%	4.1%	3.1%	5.47	5.13	+0.7
/ 200 IP	—	RAW		33	33	200	844	171	137	26	100%	6.0	20.3%	16.2%	4.1%	3.1%	5.47	5.13	+0.6
Career	—	MLE		47	34	166	734	147	120	16	72%	3.5	20.0%	16.3%	3.7%	2.1%	4.65	4.65	-0.4
/ 200 IP	—	MLE		57	41	200	883	177	144	19	72%	3.5	20.0%	16.3%	3.7%	2.1%	4.65	4.65	-0.2

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 AACorpus Christi Hooks · 9 IPFIP 8.84 → 9.72 (+0.88)K% 8.0% → 6.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	8.00%	—	×0.810	6.48%
BB% (unintentional) /BF	42.00%	—	×1.100	46.20%
HR / BF /BF	2.00%	÷1.000	×1.200	2.40%

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 100).

Result: FIP 8.84 → 9.72, 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 AFayetteville Woodpeckers · 48 IPFIP 3.90 → 5.23 (+1.33)K% 26.7% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.67%	—	×0.740	19.73%
BB% (unintentional) /BF	10.77%	—	×1.180	12.71%
HR / BF /BF	3.08%	÷1.005	×1.300	3.98%

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 101).

Result: FIP 3.90 → 5.23, 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 A+Asheville Tourists · 29 IPFIP 2.74 → 3.36 (+0.62)K% 23.4% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.44%	—	×0.770	18.05%
BB% (unintentional) /BF	9.38%	—	×1.150	10.78%
HR / BF /BF	0.78%	÷1.297	×1.250	0.75%

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 159).

Result: FIP 2.74 → 3.36, 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 AACorpus Christi Hooks · 23 IPFIP 2.37 → 3.28 (+0.91)K% 38.5% → 31.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.46%	—	×0.810	31.15%
BB% (unintentional) /BF	11.54%	—	×1.100	12.69%
HR / BF /BF	1.92%	÷1.057	×1.200	2.18%

Result: FIP 2.37 → 3.28, 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 AFayetteville Woodpeckers · 57 IPFIP 3.41 → 4.43 (+1.01)K% 26.1% → 19.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.07%	—	×0.740	19.29%
BB% (unintentional) /BF	14.79%	—	×1.180	17.45%
HR / BF /BF	1.17%	÷1.118	×1.300	1.36%

Result: FIP 3.41 → 4.43, 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
Alonzo Tredwell (OGILVIE)	—	—	—	—	—	2.8%	—	5.43	20.5%	4.1%	238	-0.21	—	—	—
J.P. France R 2019 · 5.32 FIP	24	SP-	5.32	17.9%	13.9%	3.6%	.285	4.24	26.3%	15.2%	225	-1.08	4.04	577	80
Luis Quiñones R 2022 · 4.77 FIP	25	SP	4.77	23.5%	17.5%	2.6%	.289	4.80	22.4%	10.8%	160	+0.03	3.69	326	79
Bryce Conley R 2019 · 5.40 FIP	24	SP-	5.40	17.0%	16.0%	3.1%	.227	4.28	17.4%	5.6%	142	-1.12	4.22	560	77
Deylen Miley R 2023 · 5.34 FIP	25	SP-	5.34	22.3%	17.5%	3.5%	.336	—	—	—	—	—	2.07	185	77
Justin Miller R 2002 · 5.01 FIP	24	SP-	5.01	14.5%	13.6%	2.6%	.280	5.41	12.5%	2.1%	82	+0.40	2.63	373	77
Jacob Meador R 2024 · 5.34 FIP	23	SP-	5.34	15.6%	14.0%	3.2%	.301	6.73	14.7%	-6.6%	50	+1.39	5.34	139	76
Paxton Schultz R 2023 · 4.87 FIP	25	SP-	4.87	19.5%	11.9%	3.5%	.319	4.02	23.3%	14.9%	227	-0.85	3.83	543	75
Reid Johnston R 2023 · 5.00 FIP	24	SP-	5.00	19.5%	13.9%	3.3%	.256	5.86	17.2%	2.4%	31	+0.86	3.74	234	74
Jason Savacool R 2024 · 4.83 FIP	22	SP-	4.83	14.9%	14.1%	2.2%	.275	4.88	17.2%	4.6%	128	+0.05	4.26	225	73
Elijah Dale R 2024 · 4.55 FIP	23	SP	4.55	16.7%	13.6%	2.1%	.239	6.48	18.4%	-1.6%	31	+1.93	4.55	140	73
J.P. Massey R 2024 · 4.72 FIP	24	SP	4.72	16.1%	14.2%	2.1%	.283	5.71	15.5%	-1.3%	46	+0.99	4.72	195	73
Nick Nastrini R 2024 · 5.76 FIP	24	SP	5.76	19.5%	14.6%	4.5%	.276	6.44	18.0%	-1.2%	47	+0.68	4.02	412	72
Matt Ruppenthal R 2021 · 4.76 FIP	25	SP-	4.76	18.5%	13.8%	2.7%	.308	4.28	22.7%	7.9%	102	-0.48	3.74	283	71
Khristian Curtis R 2024 · 5.48 FIP	22	SP	5.48	18.8%	14.4%	3.9%	.275	4.62	20.6%	8.4%	216	-0.86	4.60	291	71
Jacob Cravey R 2024 · 5.15 FIP	22	SP-	5.15	14.4%	18.0%	1.8%	.333	5.84	14.7%	1.0%	124	+0.69	4.97	208	71
Hayden Merda R 2023 · 5.17 FIP	23	SP	5.17	16.1%	15.3%	2.7%	.325	4.59	25.5%	10.9%	108	-0.58	4.20	203	71
Will Schomberg R 2024 · 4.85 FIP	23	SP	4.85	21.4%	15.6%	2.9%	.266	3.86	23.3%	11.7%	90	-0.99	3.86	206	71
Brett Daniels R 2021 · 4.67 FIP	25	SP-	4.67	22.3%	13.0%	3.3%	.357	4.69	18.9%	3.2%	77	+0.02	3.95	270	70
Andrew Politi R 2021 · 5.21 FIP	25	SP-	5.21	21.0%	12.2%	4.3%	.320	4.04	22.9%	13.8%	138	-1.17	3.38	292	70
Carlos Sano R 2018 · 4.82 FIP	25	SP-	4.82	17.6%	11.2%	3.3%	.282	9.22	19.7%	7.1%	18	+4.40	4.82	105	70

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	2.4	81	20.2%	16.7%	1.16	5.51
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Doug Bochtler ('00)	1.3	65	18.6%	14.4%	1.25	4.57
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*
Doug Capilla ('76-'81, 1 WAR*)	1.5	73	20.1%*	13.5%*	0.98*	4.78*