Andrew Quezada

P Albuquerque Isotopes

Age 30 RHP 6'1" / 185 lbs AAA peak 0.2 · 2027

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	26	AACOL	25	20	106	5.52	4.74	17.8%	8.6%	—	K 14.4% · BB 9.5% · FIP 5.33
2024	27	MIX2 levels	19	15	90	3.29	4.00	16.8%	8.0%	—	K 14.6% · BB 6.6% · FIP 4.64
2025	28	AAACOL	27	18	91	6.90	5.17	12.8%	9.1%	—	K 11.0% · BB 8.2% · FIP 5.14
2026	29	No MLB games played
2027PROJ	30	MLBCOL	1	1	7	5.63	5.63	10.0%	9.8%	-0.0
2028PROJ37% MLB	31	MLBCOL	3	3	18	5.62	5.70	10.9%	10.1%	-0.1
2029PROJ55% MLB	32	MLBCOL	4	4	22	5.70	5.82	11.4%	10.5%	-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

Stuff30Control50Command30

CompsDavid Fletcher (age 30) · Miguel Ruiz (age 29) · Robert Ellis (age 30)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 140132vR 124

ERA5.63

FIP5.63

K%10.0%

BB%9.8%

K-BB%0.2%

Proj IP68

Value2027 · WAR

Runs saved vs league avg · 68 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL5050

CMD3030

K†3030

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	24	MIX MLE	2 levels	9	7	33	141	35	12	5	78%	3.7	18.1%	8.1%	10.0%	3.3%	3.78	4.40	—
2021	24	MIX RAW	2 levels	9	7	33	141	35	12	5	78%	3.7	24.8%	8.5%	16.3%	3.5%	3.78	4.03	—
2022	25	A+ MLE	Spokane Indians	21	19	103	438	85	35	13	90%	4.9	14.9%	9.2%	5.8%	2.8%	4.28	4.55	—
2022	25	A+ RAW	Spokane Indians	21	19	103	438	85	35	13	90%	4.9	19.4%	8.0%	11.4%	3.0%	4.28	4.11	—
2023	26	AA MLE	Hartford Yard Goats	25	20	106	477	85	41	17	80%	4.2	14.4%	9.5%	5.0%	4.1%	5.52	5.33	—
2023	26	AA RAW	Hartford Yard Goats	25	20	106	477	85	41	17	80%	4.2	17.8%	8.6%	9.2%	3.6%	5.52	4.74	—
2024	27	MIX MLE	2 levels	19	15	90	375	63	30	9	79%	4.8	14.6%	6.6%	8.0%	3.5%	3.29	4.64	—
2024	27	MIX MLE	2 levels	19	15	90	375	63	30	9	79%	4.8	14.6%	6.6%	8.0%	3.5%	3.29	4.64	—
2024	27	MIX RAW	2 levels	19	15	90	375	63	30	9	79%	4.8	16.8%	8.0%	8.8%	2.4%	3.29	4.00	—
2025	28	AAA MLE	Albuquerque Isotopes	27	18	91	429	55	39	14	67%	3.4	11.0%	8.2%	2.8%	3.5%	6.90	5.14	—
2025	28	AAA MLE	Albuquerque Isotopes	27	18	91	429	55	39	14	67%	3.4	11.0%	8.2%	2.8%	3.5%	6.90	5.14	—
2025	28	AAA RAW	Albuquerque Isotopes	27	18	91	429	55	39	14	67%	3.4	12.8%	9.1%	3.7%	3.3%	6.90	5.17	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	COL	1	1	7	30	3	3	1	100%	7.0	10.0%	9.8%	0.2%	3.2%	5.63	5.63	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	COL	8	8	50	210	23	21	7	100%	6.2	10.9%	10.1%	0.8%	3.4%	5.62	5.70	-0.2
2029	32	MLB MLE	COL	7	7	40	170	19	18	6	100%	5.8	11.4%	10.5%	1.0%	3.6%	5.70	5.82	-0.2
2028	31	MLB CTX	COL	3	3	18	76	8	8	3	100%	6.0	10.9%	10.1%	0.8%	3.4%	5.62	5.70	-0.1
2029	32	MLB CTX	COL	4	4	22	93	11	10	3	100%	5.5	11.4%	10.5%	1.0%	3.6%	5.70	5.82	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	7	40	171	19	18	6	100%	5.8	11.2%	10.3%	0.9%	3.5%	5.66	5.38	+0.0
/ 200 IP	—	RAW		33	33	200	844	94	89	30	100%	6.0	11.2%	10.3%	0.9%	3.5%	5.66	5.38	+0.0
Career	—	MLE		101	79	424	1860	262	157	65	78%	4.2	14.1%	8.4%	5.7%	3.5%	4.90	4.90	-0.4
/ 200 IP	—	MLE		48	37	200	877	123	74	31	78%	4.2	14.1%	8.4%	5.7%	3.5%	4.90	4.90	-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.

2025 AAAAlbuquerque Isotopes · 91 IPFIP 4.96 → 5.14 (+0.18)K% 12.8% → 11.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	12.82%	—	×0.860	11.03%
BB% (unintentional) /BF	9.09%	—	×0.900	8.18%
HR / BF /BF	3.26%	÷1.017	×1.100	3.53%

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 103).

Result: FIP 4.96 → 5.14, 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 AAHartford Yard Goats · 82 IPFIP 3.82 → 4.64 (+0.82)K% 18.0% → 14.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.96%	—	×0.810	14.55%
BB% (unintentional) /BF	5.99%	—	×1.100	6.59%
HR / BF /BF	2.69%	÷0.916	×1.200	3.53%

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 83).

Result: FIP 3.82 → 4.64, 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 AAAAlbuquerque Isotopes · 8 IPFIP 5.57 → 5.35 (−0.22)K% 7.3% → 6.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	7.32%	—	×0.860	6.29%
BB% (unintentional) /BF	24.39%	—	×0.900	21.95%
HR / BF /BF	0.00%	÷1.096	×1.100	0.00%

Result: FIP 5.57 → 5.35, 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 AAHartford Yard Goats · 106 IPFIP 4.64 → 5.33 (+0.69)K% 17.8% → 14.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.82%	—	×0.810	14.43%
BB% (unintentional) /BF	8.60%	—	×1.100	9.45%
HR / BF /BF	3.56%	÷1.040	×1.200	4.11%

Result: FIP 4.64 → 5.33, 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).

2022 A+Spokane Indians · 103 IPFIP 4.10 → 4.55 (+0.45)K% 19.4% → 14.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.41%	—	×0.770	14.94%
BB% (unintentional) /BF	7.99%	—	×1.150	9.19%
HR / BF /BF	2.97%	÷1.316	×1.250	2.82%

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 163).

Result: FIP 4.10 → 4.55, 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 ROKACL Rockies · 30 IPFIP 3.00 → 4.40 (+1.40)K% 26.6% → 18.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.61%	—	×0.680	18.10%
BB% (unintentional) /BF	6.45%	—	×1.250	8.06%
HR / BF /BF	2.42%	÷1.029	×1.400	3.29%

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 106).

Result: FIP 3.00 → 4.40, 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).

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 Quezada (OGILVIE)	—	—	5.63	10.0%	9.8%	3.2%	—	5.75	11.2%	0.9%	90	+0.12	—	—	—
David Fletcher R 2024 · 5.67 FIP	30	SP-	5.67	7.5%	10.3%	3.5%	.294	—	—	—	—	—	5.67	100	87
Miguel Ruiz R 2015 · 5.77 FIP	29	SP-	5.77	8.8%	8.0%	4.4%	.346	5.60	10.6%	-0.4%	53	-0.17	5.60	117	85
Robert Ellis R 2001 · 4.84 FIP	30	SP	4.84	9.9%	7.7%	2.9%	.287	8.08	9.0%	-2.2%	18	+3.24	4.84	110	83
Travis Smith R 2002 · 5.28 FIP	29	SP	5.28	13.1%	8.2%	4.1%	.324	5.71	15.0%	9.0%	51	+0.43	3.67	105	83
Juan Omar Espinoza R 2015 · 4.81 FIP	31	SP-	4.81	8.9%	6.6%	3.0%	.346	4.84	8.4%	-0.8%	52	+0.03	4.81	104	82
Daniel Guerrero R 2016 · 4.81 FIP	31	SP	4.81	12.4%	11.6%	2.3%	.328	4.93	11.7%	2.0%	175	+0.12	4.61	269	79
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	79
Walter Silva R 2009 · 5.72 FIP	32	SP	5.72	9.1%	12.4%	3.3%	.330	—	—	—	—	—	3.67	453	76
Alex Caldera R 2016 · 4.54 FIP	30	SP	4.54	11.9%	11.1%	1.9%	.280	—	—	—	—	—	4.54	120	74
Luis Mateo R 2019 · 5.55 FIP	29	SP-	5.55	8.6%	13.4%	2.7%	.303	—	—	—	—	—	3.48	160	74
Travis Driskill R 2002 · 4.95 FIP	30	SP-	4.95	13.2%	8.0%	3.6%	.291	4.26	15.3%	12.0%	48	-0.69	4.26	181	73
Caleb Clay R 2015 · 4.67 FIP	27	SP	4.67	9.9%	6.9%	2.8%	.324	—	—	—	—	—	4.67	111	72
Colin Bates R 2015 · 4.57 FIP	27	SP-	4.57	10.5%	6.5%	2.8%	.301	—	—	—	—	—	4.57	111	71
Omar Bencomo R 2019 · 4.69 FIP	30	SP-	4.69	11.3%	6.6%	3.1%	.283	—	—	—	—	—	3.70	381	69
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	67
Reinier Roibal R 2019 · 4.91 FIP	30	SP	4.91	17.5%	11.8%	3.3%	.426	—	—	—	—	—	3.11	133	66
Marco Quevedo R 2017 · 4.85 FIP	30	SP	4.85	9.0%	4.7%	3.5%	.348	5.17	13.6%	2.2%	58	+0.32	4.13	300	65
Cody Mincey R 2022 · 5.56 FIP	30	SP	5.56	13.9%	8.4%	4.7%	.297	—	—	—	—	—	2.49	147	65
Erik Hiljus R 2002 · 6.07 FIP	29	SP	6.07	14.1%	9.7%	5.3%	.281	—	—	—	—	—	3.35	112	65
Bryce Morrow R 2016 · 5.44 FIP	28	SP	5.44	10.1%	10.3%	3.4%	.331	—	—	—	—	—	4.31	125	64

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	0.8	53	10.7%	10.1%	1.30	5.64
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Russ Swan ('89-'94, -2 WAR*)	1.3	89	12.3%*	9.9%*	1.13*	5.09*
Greg Booker ('83-'90, -1 WAR*)	1.3	53	13.3%*	10.2%*	1.07*	4.51*
Chuck Hartenstein ('66-'77, -1 WAR*)	1.5	59	13.7%*	7.2%*	1.50*	5.28*