Andrew Landry

P Hudson Valley Renegades

Age 25 RHP 6'1" / 175 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	22	MIX2 levels	11	7	29	5.34	4.18	20.2%	14.7%	—	K 9.8% · BB 20.7% · FIP 5.70
2025	23	MIX2 levels	23	22	112	4.34	3.43	21.1%	10.5%	—	K 15.9% · BB 12.2% · FIP 4.44
2026	24	MIX2 levels	36	0	48	3.75	2.85	26.1%	9.6%	—	K 20.5% · BB 11.9% · FIP 3.22
2027PROJ	25	MLBNYY	—	—	0	5.16	5.16	16.6%	13.2%	—
2028PROJ43% MLB	26	MLBNYY	30	0	32	5.05	5.03	17.5%	12.6%	-0.2
2029PROJ63% MLB	27	MLBNYY	38	0	40	5.00	5.01	17.8%	12.3%	-0.2

Next 3 projected WAR -0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff35Control45Command40

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 98%

CompsRaymar Navarro (age 25) · Cameron Foster (age 25) · Grant Black (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 131123vR 115

ERA5.16

FIP5.16

K%16.6%

BB%13.2%

K-BB%3.3%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF3535

CTRL4545

CMD4040

K†4040

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	MIX MLE	2 levels	11	7	29	129	26	19	2	64%	2.6	9.8%	20.7%	-11.0%	1.5%	5.34	5.70	—
2024	22	MIX MLE	2 levels	11	7	29	129	26	19	2	64%	2.6	9.8%	20.7%	-11.0%	1.5%	5.34	5.70	—
2024	22	MIX RAW	2 levels	11	7	29	129	26	19	2	64%	2.6	20.2%	14.7%	5.4%	1.6%	5.34	4.18	—
2025	23	MIX MLE	2 levels	23	22	112	497	105	52	7	96%	4.9	15.9%	12.2%	3.7%	2.1%	4.34	4.44	—
2025	23	MIX MLE	2 levels	23	22	112	497	105	52	7	96%	4.9	15.9%	12.2%	3.7%	2.1%	4.34	4.44	—
2025	23	MIX RAW	2 levels	23	22	112	497	105	52	7	96%	4.9	21.1%	10.5%	10.7%	1.4%	4.34	3.43	—
2026	24	MIX MLE	2 levels	36	0	48	218	57	21	3	0%	1.3	20.5%	11.9%	8.6%	0.6%	3.75	3.22	—
2026	24	MIX MLE	2 levels	36	0	48	218	57	21	3	0%	1.3	20.5%	11.9%	8.6%	0.6%	3.75	3.22	—
2026	24	MIX RAW	2 levels	36	0	48	218	57	21	3	0%	1.3	26.1%	9.6%	16.5%	1.4%	3.75	2.85	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	25	MLB	NYY	—	—	0	—	—	—	—	—	—	16.6%	13.2%	3.3%	2.6%	5.16	5.16	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	26	MLB MLE	NYY	70	0	74	312	54	39	8	0%	1.1	17.5%	12.6%	4.8%	2.6%	5.05	5.03	-0.4
2029	27	MLB MLE	NYY	60	0	63	268	48	33	7	0%	1.1	17.8%	12.3%	5.5%	2.7%	5.00	5.01	-0.3
2030	28	MLB MLE	NYY	55	0	58	245	44	30	7	0%	1.1	17.9%	12.2%	5.6%	2.8%	5.02	5.06	-0.3
2031	29	MLB MLE	NYY	51	0	54	226	40	28	7	0%	1.0	17.8%	12.4%	5.4%	2.9%	5.10	5.17	-0.4
2032	30	MLB MLE	NYY	46	0	49	206	36	26	6	0%	1.1	17.4%	12.7%	4.7%	3.1%	5.25	5.34	-0.4
2028	26	MLB CTX	NYY	30	0	32	135	24	17	4	0%	1.1	17.5%	12.6%	4.8%	2.6%	5.05	5.03	-0.2
2029	27	MLB CTX	NYY	38	0	40	169	30	21	5	0%	1.1	17.8%	12.3%	5.5%	2.7%	5.00	5.01	-0.2
2030	28	MLB CTX	NYY	42	0	44	186	33	23	5	0%	1.0	17.9%	12.2%	5.6%	2.8%	5.02	5.06	-0.2
2031	29	MLB CTX	NYY	42	0	44	186	33	23	5	0%	1.0	17.8%	12.4%	5.4%	2.9%	5.10	5.17	-0.3
2032	30	MLB CTX	NYY	40	0	42	177	31	22	6	0%	1.1	17.4%	12.7%	4.7%	3.1%	5.25	5.34	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		191	0	201	848	150	105	24	0%	1.1	17.7%	12.4%	5.2%	2.8%	5.09	4.75	-0.5
/ 200 IP	—	RAW		190	0	200	844	149	105	24	0%	1.0	17.7%	12.4%	5.2%	2.8%	5.09	4.75	-0.5
Career	—	MLE		70	29	189	844	136	113	14	41%	2.7	16.1%	13.4%	2.7%	1.6%	4.34	4.32	-1.9
/ 200 IP	—	MLE		74	31	200	895	144	120	14	41%	2.7	16.1%	13.4%	2.7%	1.6%	4.34	4.32	-1.3

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 A+Hudson Valley Renegades · 45 IPFIP 2.43 → 3.22 (+0.78)K% 26.6% → 20.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.60%	—	×0.770	20.48%
BB% (unintentional) /BF	10.34%	—	×1.150	11.90%
HR / BF /BF	0.49%	÷1.000	×1.250	0.62%

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 100).

Result: FIP 2.43 → 3.22, 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 ATampa Tarpons · 69 IPFIP 3.29 → 4.43 (+1.14)K% 21.1% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.09%	—	×0.740	15.60%
BB% (unintentional) /BF	8.63%	—	×1.180	10.18%
HR / BF /BF	1.60%	÷0.842	×1.300	2.47%

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 68).

Result: FIP 3.29 → 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).

2025 A+Hudson Valley Renegades · 43 IPFIP 3.63 → 4.47 (+0.84)K% 21.2% → 16.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.20%	—	×0.770	16.32%
BB% (unintentional) /BF	13.59%	—	×1.150	15.62%
HR / BF /BF	1.09%	÷0.969	×1.250	1.40%

Result: FIP 3.63 → 4.47, 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).

2024 ATampa Tarpons · 19 IPFIP 4.82 → 5.70 (+0.89)K% 13.2% → 9.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	13.19%	—	×0.740	9.76%
BB% (unintentional) /BF	17.58%	—	×1.180	20.75%
HR / BF /BF	1.10%	÷0.979	×1.300	1.46%

Result: FIP 4.82 → 5.70, 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 ROKFCL Yankees · 9 IPFIP 2.43 → 4.01 (+1.57)K% 36.8% → 25.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	36.84%	—	×0.680	25.05%
BB% (unintentional) /BF	7.89%	—	×1.250	9.87%
HR / BF /BF	2.63%	÷1.142	×1.400	3.23%

Factors used: pitcher ROK level factors — K ×0.68, BB ×1.25, HR ×1.40. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 128).

Result: FIP 2.43 → 4.01, 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
Andrew Landry (OGILVIE)	—	—	5.16	16.6%	13.2%	2.6%	—	5.03	17.7%	5.3%	195	-0.13	—	—	—
Raymar Navarro R 2016 · 4.30 FIP	25	SW	4.30	13.1%	11.7%	1.5%	.332	4.29	11.8%	1.0%	41	-0.01	4.29	108	86
Cameron Foster R 2024 · 4.83 FIP	25	SW	4.83	17.4%	11.5%	3.2%	.321	3.09	25.5%	17.5%	60	-1.74	2.50	213	86
Grant Black R 2021 · 4.46 FIP	27	SW	4.46	19.0%	13.9%	2.2%	.327	5.35	15.0%	3.8%	156	+0.89	4.46	215	85
Brad Allen R 2015 · 4.25 FIP	26	SW	4.25	14.0%	12.6%	1.3%	.315	5.82	14.7%	1.5%	87	+1.57	4.25	149	85
Tyler Yates R 2004 · 4.47 FIP	26	SW	4.47	15.4%	9.6%	2.6%	.333	3.64	22.5%	13.5%	116	-0.83	3.23	248	85
Brad Deppermann R 2021 · 4.51 FIP	25	SW	4.51	17.1%	9.6%	3.0%	.289	3.52	20.0%	7.8%	45	-0.99	1.94	143	85
Nick Hull R 2024 · 4.62 FIP	24	SW	4.62	19.0%	12.2%	2.9%	.296	5.00	16.8%	6.2%	111	+0.38	4.26	292	83
Jimmy Joyce R 2024 · 4.30 FIP	25	SW	4.30	17.8%	14.2%	1.7%	.278	—	—	—	—	—	3.39	259	83
Stephen Johnson R 2016 · 5.15 FIP	25	SU	5.15	16.7%	12.7%	3.4%	.268	—	—	—	—	—	3.12	141	83
Aaron Northcraft R 2015 · 4.37 FIP	25	SW	4.37	13.6%	10.2%	2.1%	.286	4.19	16.1%	7.8%	91	-0.18	3.32	252	83
Cooper Adams R 2024 · 5.42 FIP	24	SW	5.42	13.0%	12.2%	3.4%	.275	4.32	21.7%	10.4%	141	-1.10	3.05	221	82
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	81
Emmanuel Chapman R 2024 · 4.08 FIP	25	SW	4.08	19.7%	10.6%	2.4%	.256	4.52	17.8%	1.3%	117	+0.44	3.81	198	81
Jarret Whorff R 2024 · 4.04 FIP	25	SU	4.04	18.9%	10.2%	2.3%	.271	4.52	19.6%	12.0%	123	+0.48	3.88	257	81
Cullen Kafka R 2023 · 4.95 FIP	24	SW	4.95	14.2%	12.1%	2.8%	.330	—	—	—	—	—	3.64	148	80
Tyler Santana R 2023 · 4.43 FIP	25	SW	4.43	15.4%	10.3%	2.4%	.306	5.01	15.0%	4.8%	193	+0.58	3.37	401	80
Ross Ohlendorf R 2008 · 4.73 FIP	25	SW	4.73	16.3%	9.3%	3.3%	.357	4.63	15.4%	7.7%	324	-0.10	3.30	617	80
Fernando Cruz R 2015 · 5.29 FIP	25	SU	5.29	15.6%	12.2%	3.6%	.284	—	—	—	—	—	2.50	371	80
Robbie Peto R 2023 · 5.75 FIP	25	SW	5.75	15.3%	13.4%	4.1%	.325	—	—	—	—	—	5.39	232	79
Dakota Hawkins R 2024 · 4.31 FIP	24	SW	4.31	16.3%	8.9%	2.7%	.277	4.32	19.4%	10.4%	102	+0.01	3.50	186	79

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	1.8	60	17.5%	12.6%	1.07	5.09
Mike Mohler ('01)	2.1	60	15.0%	12.4%	0.97	4.99
Tyler Yates ('09)	1.2	62	19.7%	12.0%	0.94	5.12
Jesus Colome ('10)	2.1	53	17.3%	11.7%	1.03	4.69
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
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*