Zach Peek

P Binghamton Rumble Ponies

Age 29 RHP 6'3" / 190 lbs AA

Overview

AAPROSPECT

ETA2029MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	26	MIX2 levels	8	0	16	4.02	2.08	31.2%	12.5%	—	K 31.2% · BB 12.5% · FIP 2.04
2025	27	MIX2 levels	43	0	69	3.63	3.22	25.1%	10.4%	—	K 19.9% · BB 11.6% · FIP 3.82
2026	28	MIX2 levels	40	3	51	4.76	4.22	25.9%	8.6%	—	K 21.3% · BB 9.2% · FIP 4.93
2027PROJ	29	MLBNYM	1	0	1	4.95	4.95	20.4%	11.0%	-0.0
2028PROJ31% MLB	30	MLBNYM	15	0	16	5.00	5.07	20.4%	11.1%	-0.1
2029PROJ51% MLB	31	MLBNYM	21	0	22	5.10	5.21	20.2%	11.3%	-0.2

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff45Control40Command45

Career WAR0.0 WAR median (P10 -0.0 / P90 0.0, comp-based) · star 0% · didn't stick 99%

CompsJim Miller (age 30) · Gregory Infante (age 29) · Angel Castro (age 32)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 127119vR 111

ERA4.95

FIP4.95

K%20.4%

BB%11.0%

K-BB%9.4%

Proj IP69

Value2027 · WAR

Runs saved vs league avg · 69 IP

Grades · Contract

Scouting Grades

STUF4545

CTRL4040

CMD4545

K†5050

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	MIX MLE	2 levels	23	16	90	403	122	35	7	70%	3.9	22.8%	10.1%	12.7%	2.1%	3.80	3.62	—
2021	23	MIX RAW	2 levels	23	16	90	403	122	35	7	70%	3.9	30.3%	8.7%	21.6%	1.7%	3.80	2.57	—
2022	24	AA MLE	Bowie Baysox	11	11	45	185	40	13	3	100%	4.1	17.5%	7.7%	9.8%	1.7%	3.57	3.51	—
2022	24	AA RAW	Bowie Baysox	11	11	45	185	40	13	3	100%	4.1	21.6%	7.0%	14.6%	1.6%	3.57	3.06	—
2023	25	MIX MLE	3 levels	5	5	11	53	13	9	0	100%	2.1	24.5%	17.0%	7.5%	0.0%	5.91	3.18	—
2023	25	MIX RAW	3 levels	5	5	11	53	13	9	0	100%	2.1	24.5%	17.0%	7.5%	0.0%	5.91	3.19	—
2024	26	MIX MLE	2 levels	8	0	16	64	20	8	0	0%	2.0	31.2%	12.5%	18.8%	0.0%	4.02	2.04	—
2024	26	MIX MLE	2 levels	8	0	16	64	20	8	0	0%	2.0	31.2%	12.5%	18.8%	0.0%	4.02	2.04	—
2024	26	MIX RAW	2 levels	8	0	16	64	20	8	0	0%	2.0	31.2%	12.5%	18.8%	0.0%	4.02	2.08	—
2025	27	MIX MLE	2 levels	43	0	69	299	75	31	5	0%	1.6	19.9%	11.6%	8.4%	1.7%	3.63	3.82	—
2025	27	MIX MLE	2 levels	43	0	69	299	75	31	5	0%	1.6	19.9%	11.6%	8.4%	1.7%	3.63	3.82	—
2025	27	MIX RAW	2 levels	43	0	69	299	75	31	5	0%	1.6	25.1%	10.4%	14.7%	1.7%	3.63	3.22	—
2026	28	MIX MLE	2 levels	40	3	51	232	60	20	9	8%	1.3	21.3%	9.2%	12.1%	4.5%	4.76	4.93	—
2026	28	MIX MLE	2 levels	40	3	51	232	60	20	9	8%	1.3	21.3%	9.2%	12.1%	4.5%	4.76	4.93	—
2026	28	MIX RAW	2 levels	40	3	51	232	60	20	9	8%	1.3	25.9%	8.6%	17.2%	3.9%	4.76	4.22	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	29	MLB	NYM	1	0	1	4	1	0	0	0%	1.0	20.4%	11.0%	9.4%	3.3%	4.95	4.95	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	30	MLB MLE	NYM	49	0	52	218	44	24	8	0%	1.1	20.4%	11.1%	9.3%	3.5%	5.00	5.07	-0.3
2029	31	MLB MLE	NYM	40	0	42	179	36	20	7	0%	1.1	20.2%	11.3%	8.9%	3.7%	5.10	5.21	-0.3
2028	30	MLB CTX	NYM	15	0	16	68	14	8	2	0%	1.1	20.4%	11.1%	9.3%	3.5%	5.00	5.07	-0.1
2029	31	MLB CTX	NYM	21	0	22	93	19	11	3	0%	1.0	20.2%	11.3%	8.9%	3.7%	5.10	5.21	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		36	0	38	160	32	18	6	0%	1.1	20.3%	11.2%	9.0%	3.6%	5.06	4.77	-0.1
/ 200 IP	—	RAW		190	0	200	844	169	95	32	0%	1.1	20.3%	11.2%	9.0%	3.6%	5.06	4.77	-0.5
Career	—	MLE		130	35	282	1236	266	128	27	27%	2.2	21.6%	10.4%	11.2%	2.2%	3.99	3.80	-0.6
/ 200 IP	—	MLE		92	25	200	877	189	91	19	27%	2.2	21.6%	10.4%	11.2%	2.2%	3.99	3.80	-1.4

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 AABinghamton Rumble Ponies · 37 IPFIP 3.85 → 4.71 (+0.86)K% 25.4% → 20.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.44%	—	×0.810	20.61%
BB% (unintentional) /BF	10.06%	—	×1.100	11.07%
HR / BF /BF	2.96%	÷1.000	×1.200	3.55%

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 3.85 → 4.71, 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 AAASyracuse Mets · 14 IPFIP 4.91 → 5.52 (+0.61)K% 27.0% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.98%	—	×0.860	23.21%
BB% (unintentional) /BF	4.76%	—	×0.900	4.29%
HR / BF /BF	6.35%	÷1.000	×1.100	6.98%

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 4.91 → 5.52, 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 AABiloxi Shuckers · 45 IPFIP 3.98 → 4.52 (+0.54)K% 22.8% → 18.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.84%	—	×0.810	18.50%
BB% (unintentional) /BF	11.17%	—	×1.100	12.28%
HR / BF /BF	2.54%	÷1.170	×1.200	2.60%

Result: FIP 3.98 → 4.52, 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+Wisconsin Timber Rattlers · 24 IPFIP 1.73 → 2.47 (+0.74)K% 29.4% → 22.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.41%	—	×0.770	22.65%
BB% (unintentional) /BF	8.82%	—	×1.150	10.15%
HR / BF /BF	0.00%	÷1.246	×1.250	0.00%

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 149).

Result: FIP 1.73 → 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).

2024 ADelmarva Shorebirds · 8 IPFIP 2.33 → 3.21 (+0.88)K% 27.3% → 20.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.740	20.18%
BB% (unintentional) /BF	12.12%	—	×1.180	14.30%
HR / BF /BF	0.00%	÷0.952	×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 90).

Result: FIP 2.33 → 3.21, 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 AABowie Baysox · 7 IPFIP 1.74 → 2.47 (+0.73)K% 35.5% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.48%	—	×0.810	28.74%
BB% (unintentional) /BF	12.90%	—	×1.100	14.19%
HR / BF /BF	0.00%	÷1.249	×1.200	0.00%

Result: FIP 1.74 → 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+Aberdeen IronBirds · 9 IPFIP 3.54 → 4.46 (+0.91)K% 26.3% → 20.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.32%	—	×0.770	20.26%
BB% (unintentional) /BF	21.05%	—	×1.150	24.21%
HR / BF /BF	0.00%	÷0.912	×1.250	0.00%

Result: FIP 3.54 → 4.46, 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 AABowie Baysox · 45 IPFIP 3.05 → 3.51 (+0.46)K% 21.6% → 17.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.62%	—	×0.810	17.51%
BB% (unintentional) /BF	7.03%	—	×1.100	7.73%
HR / BF /BF	1.62%	÷1.170	×1.200	1.66%

Result: FIP 3.05 → 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).

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 Peek (OGILVIE)	—	—	4.95	20.4%	11.0%	3.3%	—	5.13	20.3%	9.1%	94	+0.18	—	—	—
Jim Miller R 2012 · 4.56 FIP	30	SU	4.56	20.9%	11.8%	3.1%	.243	3.95	18.8%	14.7%	74	-0.61	3.95	140	79
Gregory Infante R 2016 · 4.47 FIP	29	SU	4.47	19.0%	12.3%	2.6%	.333	3.43	22.5%	15.8%	120	-1.04	2.97	230	79
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	78
Grant Black R 2023 · 5.49 FIP	29	SU	5.49	15.9%	11.3%	4.2%	.352	—	—	—	—	—	4.46	215	78
Jose Pina R 2015 · 4.90 FIP	29	SW	4.90	16.9%	9.2%	3.8%	.231	3.66	13.6%	6.9%	246	-1.24	3.63	424	78
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	77
Mike Adams R 2022 · 5.36 FIP	27	SU	5.36	17.1%	11.2%	4.2%	.326	—	—	—	—	—	3.65	109	77
Coleman Huntley III R 2022 · 4.05 FIP	29	SU	4.05	24.4%	10.9%	3.0%	.311	2.38	20.9%	12.6%	25	-1.67	2.38	160	77
Brandon Cunniff R 2017 · 4.79 FIP	28	SU	4.79	20.1%	11.6%	3.5%	.275	6.80	13.9%	-1.9%	30	+2.01	3.89	180	77
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	76
Willie Eyre R 2007 · 4.53 FIP	29	SU	4.53	13.7%	9.1%	2.6%	.306	2.87	11.1%	5.5%	18	-1.66	2.87	164	75
Joe Nelson R 2006 · 3.91 FIP	31	SU	3.91	22.8%	10.4%	2.6%	.258	4.05	23.4%	12.8%	94	+0.14	3.08	139	74
Fredy Quintero R 2017 · 4.45 FIP	29	SW	4.45	14.0%	8.7%	2.6%	.335	4.62	17.2%	3.5%	43	+0.17	4.29	241	74
Bo Schultz R 2015 · 4.30 FIP	29	SU	4.30	18.3%	7.9%	3.2%	.218	3.49	15.1%	8.9%	77	-0.81	2.73	141	73
Ramon Delgado R 2016 · 4.60 FIP	29	SW	4.60	13.8%	5.9%	3.5%	.332	4.31	11.2%	7.2%	74	-0.29	4.31	135	73
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	73
Fernery Ozuna R 2023 · 5.65 FIP	27	SU	5.65	19.0%	11.6%	4.9%	.275	—	—	—	—	—	3.84	157	73
Neil Wagner R 2013 · 4.02 FIP	29	SU	4.02	20.5%	7.5%	3.1%	.306	4.05	19.8%	7.5%	43	+0.03	3.11	135	73
Tyler Walker R 2005 · 4.19 FIP	29	SU	4.19	19.4%	7.5%	3.2%	.303	3.61	19.7%	11.3%	93	-0.58	2.38	289	72
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	72

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	20.3%	11.1%	1.33	5.00
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Josias Manzanillo ('04)	1.7	57	20.0%	10.2%	1.21	4.71
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*