Adam Laskey

P Albuquerque Isotopes

Age 29 LHP 6'3" / 215 lbs AAA

Overview

AAAPROSPECT

ETA2029MLB%10%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	AAMIA	31	6	81	3.10	2.61	23.8%	6.2%	—	K 19.2% · BB 6.9% · FIP 3.12
2025	27	MIX2 levels	27	19	85	4.11	3.65	20.5%	8.5%	—	K 17.0% · BB 8.4% · FIP 4.17
2026	28	AAACOL	2	2	7	6.43	7.39	5.9%	20.6%	—	K 5.9% · BB 20.6% · FIP 6.83
2027PROJ	29	MLBCOL	7	0	7	4.65	4.65	17.0%	7.7%	-0.0
2028PROJ37% MLB	30	MLBCOL	18	0	19	4.72	4.79	17.3%	8.1%	-0.1
2029PROJ55% MLB	31	MLBCOL	22	0	23	4.85	4.96	17.3%	8.6%	-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

Stuff45Control60Command50

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsKyle Hunter (age 28) · Andrew Barbosa (age 29) · Jimmy Reyes (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 105113vR 122

ERA4.65

FIP4.65

K%17.0%

BB%7.7%

K-BB%9.3%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL6060

CMD5050

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)
2021	23	A MLE	Myrtle Beach Pelicans	15	9	37	185	40	33	5	60%	2.5	16.0%	21.0%	-5.0%	3.6%	8.44	6.39	—
2021	23	A RAW	Myrtle Beach Pelicans	15	9	37	185	40	33	5	60%	2.5	21.6%	17.8%	3.8%	2.7%	8.44	5.35	—
2022	24	MIX MLE	2 levels	38	0	58	243	64	28	1	0%	1.5	19.9%	13.3%	6.6%	0.5%	2.34	3.41	—
2022	24	MIX RAW	2 levels	38	0	58	243	64	28	1	0%	1.5	26.3%	11.5%	14.8%	0.4%	2.34	2.56	—
2023	25	MIX MLE	2 levels	38	0	54	241	62	21	5	0%	1.4	21.7%	9.4%	12.4%	1.5%	4.33	3.27	—
2023	25	MIX RAW	2 levels	38	0	54	241	62	21	5	0%	1.4	25.7%	8.7%	17.0%	2.1%	4.33	3.17	—
2024	26	AA MLE	Pensacola Blue Wahoos	31	6	81	320	76	20	4	19%	2.6	19.2%	6.9%	12.4%	1.4%	3.10	3.12	—
2024	26	AA MLE	Pensacola Blue Wahoos	31	6	81	320	76	20	4	19%	2.6	19.2%	6.9%	12.4%	1.4%	3.10	3.12	—
2024	26	AA RAW	Pensacola Blue Wahoos	31	6	81	320	76	20	4	19%	2.6	23.8%	6.2%	17.5%	1.2%	3.10	2.61	—
2025	27	MIX MLE	2 levels	27	19	85	365	75	31	8	70%	3.2	17.0%	8.4%	8.6%	2.6%	4.11	4.17	—
2025	27	MIX MLE	2 levels	27	19	85	365	75	31	8	70%	3.2	17.0%	8.4%	8.6%	2.6%	4.11	4.17	—
2025	27	MIX RAW	2 levels	27	19	85	365	75	31	8	70%	3.2	20.5%	8.5%	12.1%	2.2%	4.11	3.65	—
2026	28	AAA MLE	Albuquerque Isotopes	2	2	7	34	2	7	1	100%	3.5	5.9%	20.6%	-14.7%	2.9%	6.43	6.83	—
2026	28	AAA MLE	Albuquerque Isotopes	2	2	7	34	2	7	1	100%	3.5	5.9%	20.6%	-14.7%	2.9%	6.43	6.83	—
2026	28	AAA RAW	Albuquerque Isotopes	2	2	7	34	2	7	1	100%	3.5	5.9%	20.6%	-14.7%	2.9%	6.43	7.39	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	COL	7	0	7	30	5	2	1	0%	1.0	17.0%	7.7%	9.3%	3.0%	4.65	4.65	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	COL	49	0	52	217	38	18	7	0%	1.1	17.3%	8.1%	9.1%	3.2%	4.72	4.79	-0.1
2029	31	MLB MLE	COL	40	0	42	179	31	15	6	0%	1.1	17.3%	8.6%	8.8%	3.4%	4.85	4.96	-0.2
2028	30	MLB CTX	COL	18	0	19	80	14	7	3	0%	1.1	17.3%	8.1%	9.1%	3.2%	4.72	4.79	-0.1
2029	31	MLB CTX	COL	22	0	23	97	17	8	3	0%	1.0	17.3%	8.6%	8.8%	3.4%	4.85	4.96	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		40	0	42	178	31	15	6	0%	1.1	17.3%	8.4%	8.9%	3.3%	4.79	4.50	+0.0
/ 200 IP	—	RAW		190	0	200	844	147	71	28	0%	1.1	17.3%	8.4%	8.9%	3.3%	4.79	4.50	+0.1
Career	—	MLE		151	36	323	1388	256	153	27	24%	2.1	18.4%	11.1%	7.4%	1.9%	4.13	4.00	-0.3
/ 200 IP	—	MLE		94	22	200	860	159	95	17	24%	2.1	18.4%	11.1%	7.4%	1.9%	4.13	4.00	-0.7

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 AAAAlbuquerque Isotopes · 7 IPFIP 6.83 → 6.80 (−0.03)K% 5.9% → 5.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	5.88%	—	×0.860	5.06%
BB% (unintentional) /BF	20.59%	—	×0.900	18.53%
HR / BF /BF	2.94%	÷1.000	×1.100	3.24%

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 6.83 → 6.80, 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).

2025 AAPensacola Blue Wahoos · 53 IPFIP 2.17 → 2.64 (+0.46)K% 22.8% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.83%	—	×0.810	18.49%
BB% (unintentional) /BF	5.94%	—	×1.100	6.53%
HR / BF /BF	0.46%	÷1.103	×1.200	0.50%

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 121).

Result: FIP 2.17 → 2.64, 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).

2025 AAAJacksonville Jumbo Shrimp · 33 IPFIP 5.85 → 6.47 (+0.62)K% 17.1% → 14.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.12%	—	×0.860	14.73%
BB% (unintentional) /BF	12.33%	—	×0.900	11.10%
HR / BF /BF	4.79%	÷0.903	×1.100	5.84%

Result: FIP 5.85 → 6.47, 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 AAPensacola Blue Wahoos · 81 IPFIP 2.57 → 3.12 (+0.55)K% 23.8% → 19.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.75%	—	×0.810	19.24%
BB% (unintentional) /BF	6.25%	—	×1.100	6.88%
HR / BF /BF	1.25%	÷1.064	×1.200	1.41%

Result: FIP 2.57 → 3.12, 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).

2023 A+South Bend Cubs · 49 IPFIP 2.53 → 3.27 (+0.74)K% 28.2% → 21.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	28.23%	—	×0.770	21.74%
BB% (unintentional) /BF	8.13%	—	×1.150	9.35%
HR / BF /BF	1.44%	÷1.197	×1.250	1.50%

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 139).

Result: FIP 2.53 → 3.27, 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 AATennessee Smokies · 5 IPFIP 7.32 → 8.00 (+0.68)K% 9.4% → 7.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	9.38%	—	×0.810	7.59%
BB% (unintentional) /BF	12.50%	—	×1.100	13.75%
HR / BF /BF	6.25%	÷1.082	×1.200	6.93%

Result: FIP 7.32 → 8.00, 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+South Bend Cubs · 32 IPFIP 3.22 → 4.13 (+0.91)K% 25.5% → 19.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.53%	—	×0.770	19.66%
BB% (unintentional) /BF	14.89%	—	×1.150	17.13%
HR / BF /BF	0.71%	÷0.938	×1.250	0.95%

Result: FIP 3.22 → 4.13, 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 AMyrtle Beach Pelicans · 26 IPFIP 1.65 → 2.41 (+0.76)K% 27.5% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.45%	—	×0.740	20.31%
BB% (unintentional) /BF	6.86%	—	×1.180	8.10%
HR / BF /BF	0.00%	÷0.942	×1.300	0.00%

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 88).

Result: FIP 1.65 → 2.41, 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
Adam Laskey (OGILVIE)	—	—	4.65	17.0%	7.7%	3.0%	—	4.87	17.3%	9.0%	94	+0.22	—	—	—
Kyle Hunter L 2017 · 4.50 FIP	28	SU	4.50	14.0%	6.1%	3.3%	.335	—	—	—	—	—	4.32	188	82
Andrew Barbosa L 2017 · 4.67 FIP	29	SU	4.67	20.2%	9.6%	3.8%	.301	—	—	—	—	—	2.70	175	82
Jimmy Reyes L 2017 · 4.92 FIP	28	SU	4.92	13.8%	8.0%	3.6%	.294	—	—	—	—	—	3.02	200	81
Ryan Verdugo L 2015 · 3.61 FIP	28	SU	3.61	19.8%	10.8%	1.5%	.281	3.36	22.7%	17.3%	82	-0.25	3.36	153	79
Kelvin Marte L 2017 · 4.74 FIP	29	SW	4.74	16.1%	11.4%	2.8%	.300	5.25	12.0%	1.2%	71	+0.51	3.44	360	78
Raul Valdes L 2010 · 4.02 FIP	32	SU	4.02	21.4%	9.9%	2.7%	.301	3.14	27.4%	22.5%	78	-0.88	2.29	160	77
Chad Zerbe L 2001 · 3.75 FIP	29	SU	3.75	13.6%	6.2%	1.8%	.299	3.88	9.4%	2.6%	106	+0.13	3.75	145	76
Matt Whitehouse L 2019 · 4.07 FIP	28	SW	4.07	20.1%	10.9%	2.3%	.339	—	—	—	—	—	3.37	353	76
John Rheinecker L 2007 · 5.13 FIP	28	SW	5.13	16.7%	10.9%	3.8%	.317	—	—	—	—	—	4.14	121	76
Randy Keisler L 2005 · 5.07 FIP	29	SW	5.07	16.4%	9.9%	3.8%	.295	5.51	6.5%	0.0%	17	+0.44	5.07	135	75
Jake McSteen L 2024 · 4.64 FIP	28	SU	4.64	19.7%	6.4%	4.4%	.348	2.22	18.9%	13.2%	18	-2.42	2.22	286	73
Kraig Sitton L 2017 · 3.87 FIP	29	SU	3.87	14.7%	6.1%	2.2%	.312	—	—	—	—	—	2.81	166	73
Edgar Olmos L 2017 · 3.64 FIP	27	SW	3.64	18.9%	9.7%	1.7%	.252	—	—	—	—	—	3.19	203	71
Justin Marks L 2017 · 3.83 FIP	29	SW	3.83	18.7%	11.0%	1.7%	.317	—	—	—	—	—	3.83	324	71
Colton Johnson L 2024 · 3.92 FIP	26	SU	3.92	20.8%	11.0%	2.1%	.309	4.53	12.2%	-0.4%	48	+0.61	3.92	106	71
Jordan Carr L 2024 · 4.42 FIP	27	SW	4.42	13.1%	8.8%	2.4%	.295	6.61	11.8%	-1.7%	47	+2.19	3.49	269	71
Everett Teaford L 2012 · 5.47 FIP	28	SW	5.47	13.3%	8.0%	4.5%	.291	4.42	13.9%	6.3%	103	-1.05	4.42	208	70
Chad Bell L 2018 · 4.38 FIP	29	SU	4.38	18.8%	7.4%	3.5%	.341	—	—	—	—	—	3.39	393	70
Jeff Ibarra L 2017 · 3.64 FIP	29	SU	3.64	18.1%	7.0%	2.1%	.342	2.85	20.6%	17.2%	29	-0.79	2.85	101	69
Jeremy Bleich L 2016 · 4.35 FIP	29	SU	4.35	10.1%	7.8%	2.1%	.333	3.64	19.1%	13.1%	146	-0.71	3.20	241	68

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	54	17.2%	8.1%	1.21	4.72
Carlos Almánzar ('05)	1.2	60	16.3%	7.9%	1.32	4.82
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*
Larry Casian ('90-'98, 0 WAR*)	1.2	40	14.7%*	6.8%*	1.25*	4.37*
Randy St. Claire ('84-'94, -0 WAR*)	1.3	50	19.0%*	8.4%*	1.39*	4.61*