Andrew Moore

P Altoona Curve

Age 27 RHP 6'3" / 207 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX2 levels	34	59	3.79	2.70	35.6%	15.7%	—	K 26.1% · BB 18.5% · FIP 3.80
2025	25	MIX2 levels	39	47	5.17	3.50	30.8%	19.5%	—	K 25.3% · BB 21.4% · FIP 4.33
2026	26	MIX2 levels	32	41	3.29	3.47	34.9%	23.7%	—	K 28.8% · BB 24.0% · FIP 4.03
2027PROJ	27	MLBSD	1	1	4.97	4.97	27.5%	20.0%	-0.0
2028PROJ38% MLB	28	MLBSD	16	17	4.95	4.99	27.0%	19.1%	-0.1
2029PROJ56% MLB	29	MLBSD	20	21	5.00	5.07	26.5%	18.6%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff60Control20Command45

Career WAR0.0 WAR median (P10 -0.2 / P90 0.1, comp-based) · star 0% · didn't stick 98%

CompsDennis Sarfate (age 27) · Beck Wheeler (age 27) · Jacob Bosiokovic (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 128119vR 111

ERA4.97

FIP4.97

K%27.5%

BB%20.0%

K-BB%7.5%

Proj IP60

Value2027 · WAR

Runs saved vs league avg · 60 IP

Grades · Contract

Scouting Grades

STUF6060

CTRL2020

CMD4545

K†6565

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)
2021	21	MIX MLE	2 levels	14	0	19	96	16	18	2	0%	1.4	12.9%	21.8%	-8.9%	3.3%	6.98	6.58	—
2021	21	MIX RAW	2 levels	14	0	19	96	16	18	2	0%	1.4	16.7%	18.8%	-2.1%	2.1%	6.98	5.58	—
2022	22	MIX MLE	2 levels	32	2	42	193	73	29	1	6%	1.3	27.9%	17.9%	10.0%	0.8%	4.29	3.44	—
2022	22	MIX RAW	2 levels	32	2	42	193	73	29	1	6%	1.3	37.8%	15.0%	22.8%	0.5%	4.29	2.00	—
2023	23	MIX MLE	2 levels	14	0	19	78	29	11	1	0%	1.3	24.1%	18.0%	6.1%	2.1%	4.34	4.47	—
2023	23	MIX RAW	2 levels	14	0	19	78	29	11	1	0%	1.3	37.2%	14.1%	23.1%	1.3%	4.34	2.46	—
2024	24	MIX MLE	2 levels	34	0	59	261	93	41	3	0%	1.7	26.1%	18.5%	7.6%	1.0%	3.79	3.80	—
2024	24	MIX MLE	2 levels	34	0	59	261	93	41	3	0%	1.7	26.1%	18.5%	7.6%	1.0%	3.79	3.80	—
2024	24	MIX RAW	2 levels	34	0	59	261	93	41	3	0%	1.7	35.6%	15.7%	19.9%	1.1%	3.79	2.70	—
2025	25	MIX MLE	2 levels	39	0	47	221	68	43	2	0%	1.2	25.3%	21.4%	4.0%	1.2%	5.17	4.33	—
2025	25	MIX MLE	2 levels	39	0	47	221	68	43	2	0%	1.2	25.3%	21.4%	4.0%	1.2%	5.17	4.33	—
2025	25	MIX RAW	2 levels	39	0	47	221	68	43	2	0%	1.2	30.8%	19.5%	11.3%	0.9%	5.17	3.50	—
2026	26	MIX MLE	2 levels	32	0	41	186	65	44	1	0%	1.3	28.8%	24.0%	4.8%	0.6%	3.29	4.03	—
2026	26	MIX MLE	2 levels	32	0	41	186	65	44	1	0%	1.3	28.8%	24.0%	4.8%	0.6%	3.29	4.03	—
2026	26	MIX RAW	2 levels	32	0	41	186	65	44	1	0%	1.3	34.9%	23.7%	11.3%	0.5%	3.29	3.47	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	SD	1	0	1	4	1	1	0	0%	1.0	27.5%	20.0%	7.5%	2.3%	4.97	4.97	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	SD	43	0	45	189	51	36	5	0%	1.0	27.0%	19.1%	7.9%	2.5%	4.95	4.99	-0.2
2029	29	MLB MLE	SD	36	0	38	159	42	29	4	0%	1.0	26.5%	18.6%	7.9%	2.7%	5.00	5.07	-0.2
2028	28	MLB CTX	SD	16	0	17	72	19	14	2	0%	1.1	27.0%	19.1%	7.9%	2.5%	4.95	4.99	-0.1
2029	29	MLB CTX	SD	20	0	21	89	23	16	2	0%	1.1	26.5%	18.6%	7.9%	2.7%	5.00	5.07	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		36	0	38	159	43	30	4	0%	1.0	26.7%	18.8%	7.9%	2.6%	4.98	4.65	-0.0
/ 200 IP	—	RAW		190	0	200	844	228	159	21	0%	1.1	26.7%	18.8%	7.9%	2.6%	4.98	4.65	-0.2
Career	—	MLE		165	2	227	1035	263	210	13	1%	1.4	25.4%	20.3%	5.1%	1.2%	4.39	4.20	-0.5
/ 200 IP	—	MLE		145	2	200	911	231	184	11	1%	1.4	25.4%	20.3%	5.1%	1.2%	4.39	4.20	-1.1

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 AAAltoona Curve · 26 IPFIP 2.29 → 3.28 (+0.99)K% 43.6% → 35.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	43.64%	—	×0.810	35.35%
BB% (unintentional) /BF	22.73%	—	×1.100	25.00%
HR / BF /BF	0.00%	÷1.000	×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 100).

Result: FIP 2.29 → 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).

2026 AAAEl Paso Chihuahuas · 15 IPFIP 5.10 → 5.12 (+0.02)K% 22.4% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.37%	—	×0.860	19.24%
BB% (unintentional) /BF	25.00%	—	×0.900	22.50%
HR / BF /BF	1.32%	÷1.000	×1.100	1.45%

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 5.10 → 5.12, 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 AASan Antonio Missions · 45 IPFIP 3.44 → 4.33 (+0.88)K% 31.3% → 25.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.28%	—	×0.810	25.34%
BB% (unintentional) /BF	19.43%	—	×1.100	21.37%
HR / BF /BF	0.95%	÷0.950	×1.200	1.20%

Result: FIP 3.44 → 4.33, 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 AAChattanooga Lookouts · 46 IPFIP 3.02 → 3.80 (+0.78)K% 32.2% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.24%	—	×0.810	26.12%
BB% (unintentional) /BF	16.82%	—	×1.100	18.50%
HR / BF /BF	0.93%	÷1.089	×1.200	1.03%

Result: FIP 3.02 → 3.80, 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 A+Dayton Dragons · 13 IPFIP 1.30 → 2.47 (+1.16)K% 51.1% → 39.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	51.06%	—	×0.770	39.32%
BB% (unintentional) /BF	10.64%	—	×1.150	12.23%
HR / BF /BF	2.13%	÷1.285	×1.250	2.07%

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 157).

Result: FIP 1.30 → 2.47, 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).

2023 A+Dayton Dragons · 15 IPFIP 3.30 → 4.47 (+1.17)K% 31.2% → 24.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.25%	—	×0.770	24.06%
BB% (unintentional) /BF	15.62%	—	×1.150	17.97%
HR / BF /BF	1.56%	÷0.951	×1.250	2.05%

Result: FIP 3.30 → 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).

2022 ADaytona Tortugas · 42 IPFIP 2.13 → 3.44 (+1.31)K% 37.7% → 27.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	37.70%	—	×0.740	27.90%
BB% (unintentional) /BF	15.18%	—	×1.180	17.92%
HR / BF /BF	0.52%	÷0.883	×1.300	0.77%

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 77).

Result: FIP 2.13 → 3.44, 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 AModesto Nuts · 18 IPFIP 5.17 → 6.58 (+1.41)K% 17.4% → 12.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.39%	—	×0.740	12.87%
BB% (unintentional) /BF	18.48%	—	×1.180	21.80%
HR / BF /BF	2.17%	÷0.861	×1.300	3.28%

Result: FIP 5.17 → 6.58, 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 Moore (OGILVIE)	—	—	4.97	27.5%	20.0%	2.3%	—	5.03	26.7%	7.9%	82	+0.06	—	—	—
Dennis Sarfate R 2008 · 4.42 FIP	27	SU	4.42	24.0%	16.7%	2.2%	.263	4.81	19.8%	5.9%	23	+0.39	4.42	103	87
Beck Wheeler R 2016 · 4.42 FIP	27	SU	4.42	24.9%	14.5%	2.9%	.360	5.40	15.3%	3.1%	58	+0.98	3.46	173	82
Jacob Bosiokovic R 2021 · 3.93 FIP	27	SU	3.93	26.4%	14.3%	2.3%	.274	4.80	21.7%	10.2%	69	+0.87	3.84	181	82
Ryan Jensen R 2024 · 3.92 FIP	26	SU	3.92	26.6%	17.2%	1.6%	.331	4.35	21.9%	5.6%	50	+0.43	3.92	311	80
Jose De La Torre R 2013 · 5.22 FIP	27	SU	5.22	28.3%	18.9%	3.9%	.308	3.87	17.6%	6.6%	110	-1.35	2.64	141	80
Zane Russell R 2024 · 4.95 FIP	24	SU	4.95	22.7%	18.3%	2.6%	.314	5.36	18.2%	6.7%	71	+0.41	4.63	108	79
Caleb Simpson R 2019 · 4.02 FIP	27	SU	4.02	24.7%	17.3%	1.5%	.189	4.23	22.4%	9.7%	54	+0.21	3.57	197	79
Peyton Gray R 2021 · 4.27 FIP	26	SU	4.27	29.2%	14.1%	3.4%	.307	—	—	—	—	—	3.62	160	78
Michael Stryffeler R 2022 · 4.24 FIP	26	SU	4.24	30.4%	17.3%	2.8%	.277	4.89	19.4%	1.1%	33	+0.65	2.43	140	78
Zack Jones R 2018 · 5.00 FIP	27	SU	5.00	27.7%	24.1%	2.2%	.167	—	—	—	—	—	2.57	109	77
Jake Haberer R 2022 · 5.24 FIP	27	SU	5.24	24.3%	16.0%	4.0%	.324	5.08	16.4%	0.9%	62	-0.16	3.46	183	77
Fernando Baez R 2017 · 5.37 FIP	25	SU	5.37	24.3%	21.2%	3.0%	.271	—	—	—	—	—	3.45	129	77
Parker Markel R 2019 · 4.87 FIP	28	SU	4.87	29.7%	16.5%	4.0%	.250	4.33	28.9%	11.6%	97	-0.54	3.18	266	77
LJ McDonough R 2024 · 4.54 FIP	24	SU	4.54	22.6%	16.7%	2.3%	.385	4.85	20.0%	2.8%	90	+0.31	4.16	127	76
Chris Perry R 2016 · 4.24 FIP	26	SU	4.24	21.3%	19.3%	0.9%	.254	—	—	—	—	—	3.55	113	76
Nick Ernst R 2022 · 5.05 FIP	25	SU	5.05	21.9%	14.6%	3.5%	.275	—	—	—	—	—	3.56	117	76
Christopher Troye R 2024 · 5.46 FIP	25	SU	5.46	24.2%	17.0%	4.1%	.282	5.61	19.1%	-3.8%	30	+0.15	3.42	158	76
Dario Beltre R 2019 · 4.24 FIP	26	SU	4.24	21.4%	17.0%	1.4%	.331	—	—	—	—	—	2.71	110	75
Zac Leigh R 2024 · 4.21 FIP	26	SU	4.21	21.8%	15.4%	1.8%	.367	4.74	19.4%	2.7%	87	+0.53	3.70	201	75
Malik Barrington R 2023 · 3.99 FIP	25	SU	3.99	22.4%	16.7%	1.2%	.270	—	—	—	—	—	1.91	132	75

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	0.7	47	27.1%	19.3%	0.96	4.97
Brian Bruney ('12)	1.3	43	21.2%	15.8%	0.94	4.68
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Matt Mantei ('05)	1.6	54	28.0%	14.1%	0.84	4.07
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*