Zach Agnos

P Colorado Rockies

Age 26 RHP 6'0" / 225 lbs MLB

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	23	MIX2 levels	45	0	52	1.38	2.01	31.3%	5.0%	—	K 24.8% · BB 5.5% · FIP 2.73
2025	24	MIX2 levels	40	0	43	5.40	4.83	17.9%	11.4%	-0.1	K 13.8% · BB 12.3% · FIP 5.26
2026	25	MLBCOL	41	3	91	5.93	4.34	14.3%	8.1%	0.2
2027PROJ	26	MLBCOL	50	0	52	4.89	4.72	16.9%	8.7%	-0.1
2028PROJ95% MLB	27	MLBCOL	35	0	37	4.81	4.76	16.9%	8.8%	-0.1
2029PROJ95% MLB	28	MLBCOL	25	0	26	4.83	4.85	16.8%	8.9%	-0.1

Last 3 seasons WAR 0.1 · Next 3 projected WAR -0.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo48

xwOBA vs19

K%10

Form7.20 ERA (proj 4.89) · K 9.7% (proj 16.9%) · BB 12.5% (proj 8.7%) ▼▼ last 60d · 15 IP through Oct 27

CompsBraden Looper (age 26) · Jim Johnson (age 26) · D.J. Carrasco (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 126117vR 109

ERA4.89

FIP4.72

K%16.9%

BB%8.7%

K-BB%8.2%

Proj IP56

Value2027 · WAR

Runs saved vs league avg · 56 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p4894.4

Whiff%

p2021.1%

p1014.3%

xwOBA vs

p190.349

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)
2022	21	ROK MLE	ACL Rockies	1	0	1	4	1	0	1	0%	1.0	25.0%	0.0%	25.0%	25.0%	9.00	14.71	—
2022	21	ROK RAW	ACL Rockies	1	0	1	4	1	0	1	0%	1.0	25.0%	0.0%	25.0%	25.0%	9.00	14.10	—
2023	22	A MLE	Fresno Grizzlies	47	0	52	221	68	13	4	0%	1.1	22.8%	6.9%	15.8%	2.0%	2.06	3.15	—
2023	22	A RAW	Fresno Grizzlies	47	0	52	221	68	13	4	0%	1.1	30.8%	5.9%	24.9%	1.8%	2.06	2.24	—
2024	23	MIX MLE	2 levels	45	0	52	201	63	10	3	0%	1.2	24.8%	5.5%	19.3%	1.9%	1.38	2.73	—
2024	23	MIX MLE	2 levels	45	0	52	201	63	10	3	0%	1.2	24.8%	5.5%	19.3%	1.9%	1.38	2.73	—
2024	23	MIX RAW	2 levels	45	0	52	201	63	10	3	0%	1.2	31.3%	5.0%	26.4%	1.5%	1.38	2.01	—
2025	24	MIX MLE	2 levels	40	0	43	184	33	21	6	0%	1.1	13.8%	12.3%	1.4%	3.2%	5.40	5.26	-0.4
2025	24	MIX MLE	2 levels	40	0	43	184	33	21	6	0%	1.1	13.8%	12.3%	1.4%	3.2%	5.40	5.26	-0.4
2025	24	MIX RAW	2 levels	40	0	43	184	33	21	6	0%	1.1	17.9%	11.4%	6.5%	3.3%	5.40	4.83	-0.1
2026	25	MLB MLE	Colorado Rockies	41	3	91	407	58	33	10	7%	2.2	14.3%	8.1%	6.1%	2.2%	5.93	4.12	+0.5
2026	25	MLB MLE	Colorado Rockies	41	3	91	407	58	33	10	7%	2.2	14.3%	8.1%	6.1%	2.2%	5.93	4.12	+0.5
2026	25	MLB RAW	Colorado Rockies	41	3	91	407	58	33	10	7%	2.2	14.3%	8.1%	6.1%	2.5%	5.93	4.34	+0.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			71	3	122	545	77	50	15	4%	1.7	14.1%	9.2%	5.0%	2.8%	6.11	4.66	-0.2
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	COL	50	0	52	220	37	19	6	0%	1.0	16.9%	8.7%	8.2%	2.9%	4.89	4.72	-0.1
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	COL	37	0	39	164	28	14	5	0%	1.0	16.9%	8.8%	8.1%	2.9%	4.81	4.76	-0.1
2029	28	MLB MLE	COL	26	0	27	114	19	10	3	0%	1.0	16.8%	8.9%	7.8%	3.0%	4.83	4.85	-0.1
2030	29	MLB MLE	COL	18	0	19	81	13	7	3	0%	1.1	16.2%	9.1%	7.0%	3.2%	4.94	5.01	-0.1
2031	30	MLB MLE	COL	18	0	19	81	14	7	3	0%	1.1	17.5%	8.6%	8.8%	3.4%	4.94	4.95	-0.1
2028	27	MLB CTX	COL	35	0	37	156	26	14	5	0%	1.1	16.9%	8.8%	8.1%	2.9%	4.81	4.76	-0.1
2029	28	MLB CTX	COL	25	0	26	110	18	10	3	0%	1.0	16.8%	8.9%	7.8%	3.0%	4.83	4.85	-0.1
2030	29	MLB CTX	COL	17	0	18	76	12	7	2	0%	1.1	16.2%	9.1%	7.0%	3.2%	4.94	5.01	-0.1
2031	30	MLB CTX	COL	17	0	18	76	13	7	3	0%	1.1	17.5%	8.6%	8.8%	3.4%	4.94	4.95	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		165	3	222	964	147	87	28	2%	1.3	15.3%	9.0%	6.3%	2.9%	5.55	4.54	+0.0
/ 200 IP	—	RAW		149	3	200	870	133	79	25	2%	1.3	15.3%	9.0%	6.3%	2.9%	5.55	4.54	+0.0
Career	—	MLE		174	3	240	1017	184	82	24	2%	1.4	18.1%	8.1%	10.1%	2.4%	4.01	3.88	-0.5
/ 200 IP	—	MLE		145	2	200	848	154	68	20	2%	1.4	18.1%	8.1%	10.1%	2.4%	4.01	3.88	-0.5

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 · 12 IPFIP 2.82 → 3.17 (+0.35)K% 30.4% → 26.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.43%	—	×0.860	26.17%
BB% (unintentional) /BF	8.70%	—	×0.900	7.83%
HR / BF /BF	2.17%	÷1.017	×1.100	2.35%

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 2.82 → 3.17, 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 · 28 IPFIP 2.59 → 3.51 (+0.92)K% 30.8% → 25.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.84%	—	×0.810	24.98%
BB% (unintentional) /BF	8.41%	—	×1.100	9.25%
HR / BF /BF	1.87%	÷0.916	×1.200	2.45%

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 2.59 → 3.51, 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+Spokane Indians · 25 IPFIP 1.12 → 1.85 (+0.73)K% 31.9% → 24.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	31.91%	—	×0.770	24.57%
BB% (unintentional) /BF	1.06%	—	×1.150	1.22%
HR / BF /BF	1.06%	÷1.086	×1.250	1.22%

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 117).

Result: FIP 1.12 → 1.85, 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 AFresno Grizzlies · 52 IPFIP 2.24 → 3.15 (+0.90)K% 30.8% → 22.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.77%	—	×0.740	22.77%
BB% (unintentional) /BF	5.88%	—	×1.180	6.94%
HR / BF /BF	1.81%	÷1.186	×1.300	1.98%

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 137).

Result: FIP 2.24 → 3.15, 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
Zach Agnos (OGILVIE)	—	—	—	—	—	2.9%	—	4.85	16.7%	7.8%	85	+0.13	—	—	—
Braden Looper R 2001 · 4.26 FIP	26	SU	4.26	17.6%	9.2%	2.7%	.264	3.41	16.4%	10.0%	250	-0.85	2.90	1,173	85
Jim Johnson R 2009 · 4.03 FIP	26	SU	4.03	16.3%	6.7%	2.7%	.291	3.01	16.0%	11.2%	186	-1.02	2.56	700	84
D.J. Carrasco R 2003 · 4.27 FIP	26	SU	4.27	16.1%	10.1%	2.2%	.291	4.66	10.5%	1.4%	150	+0.39	3.23	490	84
Billy Koch R 2001 · 3.91 FIP	26	SU	3.91	17.9%	8.4%	2.3%	.282	4.17	21.3%	10.0%	196	+0.26	3.10	407	84
David Goforth R 2015 · 3.98 FIP	26	SU	3.98	17.4%	9.8%	2.0%	.287	4.58	14.1%	3.6%	184	+0.60	3.98	256	83
Stephen Kohlscheen R 2015 · 3.83 FIP	26	SU	3.83	15.6%	8.1%	1.9%	.311	3.98	22.8%	15.0%	90	+0.15	2.52	167	83
Mitchell Boggs R 2010 · 3.71 FIP	26	SU	3.71	18.2%	8.8%	1.9%	.271	3.64	18.2%	10.6%	157	-0.07	3.21	330	82
Ricky Stone R 2002 · 4.16 FIP	27	SU	4.16	18.8%	9.3%	2.7%	.297	4.96	13.7%	7.4%	165	+0.80	4.16	243	82
Logan Bawcom R 2015 · 3.85 FIP	26	SU	3.85	15.8%	9.1%	1.7%	.320	4.35	15.9%	6.2%	259	+0.50	3.73	399	82
Logan Ondrusek R 2011 · 3.94 FIP	26	SU	3.94	15.3%	7.8%	2.1%	.245	4.09	20.1%	11.6%	151	+0.15	3.57	409	81
Wayne Gomes R 2000 · 4.09 FIP	27	SU	4.09	15.1%	9.9%	1.8%	.278	4.00	17.4%	8.8%	84	-0.09	3.49	368	81
Tyler Walker R 2004 · 4.28 FIP	28	SU	4.28	17.5%	8.4%	2.9%	.311	3.77	18.5%	10.4%	101	-0.51	2.38	289	81
J.J. Putz R 2004 · 4.57 FIP	27	SU	4.57	17.1%	7.3%	3.6%	.283	2.58	28.5%	23.0%	210	-1.99	1.43	563	81
David Herndon R 2011 · 4.53 FIP	25	SU	4.53	16.0%	7.0%	3.5%	.253	—	—	—	—	—	3.20	109	80
Bob Howry R 2000 · 3.67 FIP	26	SU	3.67	20.8%	9.3%	2.1%	.245	4.13	17.1%	11.1%	147	+0.46	3.11	783	80
Carlos Gonzalez R 2016 · 3.78 FIP	26	SU	3.78	18.2%	8.7%	2.0%	.266	4.37	14.3%	2.3%	36	+0.59	3.75	154	80
Brett McKinney R 2017 · 4.66 FIP	26	SU	4.66	18.5%	9.9%	3.4%	.287	—	—	—	—	—	3.43	183	80
Troy Neiman R 2017 · 4.03 FIP	26	SU	4.03	18.1%	8.3%	2.5%	.282	—	—	—	—	—	4.03	199	80
Ryan Doolittle R 2015 · 4.03 FIP	27	SU	4.03	15.1%	6.7%	2.5%	.315	4.38	13.9%	6.8%	44	+0.35	4.03	101	80
Bryan Morris R 2013 · 4.78 FIP	26	SU	4.78	13.7%	8.5%	3.2%	.243	3.90	17.7%	9.2%	145	-0.88	3.48	231	80

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	1.4	40	15.6%	9.1%	1.12	5.41
Travis Miller ('02)	1.3	45	16.3%	9.2%	0.91	5.05
Mike Lincoln ('10)	1.9	54	14.1%	8.9%	1.32	5.33
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*
Will Cunnane ('04)	1.4	46	18.9%	10.4%	1.25	5.26
Greg Booker ('83-'90, -1 WAR*)	1.3	53	13.3%*	10.2%*	1.07*	4.51*
Tom Dukes ('67-'72, -2 WAR*)	1.1	43	22.7%*	8.7%*	1.16*	5.37*