Zach Haake

P Reading Fightin Phils

Age 30 RHP 6'7" / 220 lbs AA peak 0.3 · 2027

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2022	25	MIX4 levels	25	7	56	4.82	3.65	22.4%	10.6%	—	K 15.6% · BB 12.0% · FIP 4.70
2023	26	MIX4 levels	16	14	69	4.83	4.10	20.9%	8.6%	—	K 16.8% · BB 9.0% · FIP 4.45
2024	27	MIX2 levels	35	4	49	5.11	4.30	24.7%	13.7%	—	K 20.6% · BB 14.1% · FIP 4.69
2025	28	No MLB games played
2026	29	No MLB games played
2027PROJ	30	MLBPHI	1	1	1	4.64	4.64	22.6%	11.3%	0.0
2028PROJ31% MLB	31	MLBPHI	1	1	8	4.73	4.81	22.3%	11.5%	0.1

Next 2 projected WAR 0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

CompsElian Leyva (age 30) · Edgar Alberto Garcia (age 29) · Fabio Castillo (age 28)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 121113vR 105

ERA4.64

FIP4.64

K%22.6%

BB%11.3%

K-BB%11.2%

Proj IP28

Value2027 · WAR

Runs saved vs league avg · 28 IP

Grades · Contract

Scouting Grades

K†5555

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)
2018	21	ROK MLE	Idaho Falls Chukars	7	6	15	58	14	4	1	86%	2.2	16.4%	8.6%	7.8%	2.4%	1.76	4.13	—
2018	21	ROK RAW	Idaho Falls Chukars	7	6	15	58	14	4	1	86%	2.2	24.1%	6.9%	17.2%	1.7%	1.76	2.90	—
2019	22	A MLE	Lexington Legends	18	18	76	315	90	36	2	100%	4.2	21.1%	13.5%	7.7%	0.8%	2.85	3.44	—
2019	22	A RAW	Lexington Legends	18	18	76	315	90	36	2	100%	4.2	28.6%	11.4%	17.1%	0.6%	2.85	2.49	—
2021	24	MIX MLE	2 levels	15	14	54	221	58	23	9	93%	3.6	18.8%	13.2%	5.7%	5.8%	3.35	6.35	—
2021	24	MIX RAW	2 levels	15	14	54	221	58	23	9	93%	3.6	26.2%	10.4%	15.8%	4.1%	3.35	4.40	—
2022	25	MIX MLE	4 levels	25	7	56	263	59	28	5	28%	2.2	15.6%	12.0%	3.6%	2.5%	4.82	4.70	—
2022	25	MIX RAW	4 levels	25	7	56	263	59	28	5	28%	2.2	22.4%	10.6%	11.8%	1.9%	4.82	3.65	—
2023	26	MIX MLE	4 levels	16	14	69	301	63	26	9	88%	4.3	16.8%	9.0%	7.8%	3.0%	4.83	4.45	—
2023	26	MIX RAW	4 levels	16	14	69	301	63	26	9	88%	4.3	20.9%	8.6%	12.3%	3.0%	4.83	4.10	—
2024	27	MIX MLE	2 levels	35	4	49	227	56	31	6	11%	1.4	20.6%	14.1%	6.5%	2.8%	5.11	4.69	—
2024	27	MIX MLE	2 levels	35	4	49	227	56	31	6	11%	1.4	20.6%	14.1%	6.5%	2.8%	5.11	4.69	—
2024	27	MIX RAW	2 levels	35	4	49	227	56	31	6	11%	1.4	24.7%	13.7%	11.0%	2.6%	5.11	4.30	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	PHI	1	1	1	4	1	0	0	100%	1.0	22.6%	11.3%	11.2%	3.0%	4.64	4.64	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	PHI	4	4	27	112	25	13	4	100%	6.7	22.3%	11.5%	10.8%	3.2%	4.73	4.81	+0.2
2028	31	MLB CTX	PHI	1	1	8	34	8	4	1	100%	8.0	22.3%	11.5%	10.8%	3.2%	4.73	4.81	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		1	1	8	35	8	4	1	100%	8.3	22.3%	11.5%	10.8%	3.2%	4.73	4.43	+0.1
/ 200 IP	—	RAW		33	33	200	844	192	96	24	100%	6.0	22.3%	11.5%	10.8%	3.2%	4.73	4.43	+2.3
Career	—	MLE		116	63	319	1385	256	167	39	54%	2.7	18.5%	12.1%	6.4%	2.8%	4.01	4.60	+0.2
/ 200 IP	—	MLE		73	39	200	868	161	105	24	54%	2.7	18.5%	12.1%	6.4%	2.8%	4.01	4.60	+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.

2024 AAReading Fightin Phils · 28 IPFIP 5.26 → 5.89 (+0.63)K% 20.7% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.74%	—	×0.810	16.80%
BB% (unintentional) /BF	14.81%	—	×1.100	16.30%
HR / BF /BF	3.70%	÷1.137	×1.200	3.91%

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 127).

Result: FIP 5.26 → 5.89, 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 AAALehigh Valley IronPigs · 21 IPFIP 2.64 → 2.92 (+0.28)K% 30.4% → 26.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.43%	—	×0.860	26.17%
BB% (unintentional) /BF	11.96%	—	×0.900	10.76%
HR / BF /BF	1.09%	÷0.989	×1.100	1.21%

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 98).

Result: FIP 2.64 → 2.92, 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 AAReading Fightin Phils · 53 IPFIP 3.81 → 4.45 (+0.64)K% 20.8% → 16.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.78%	—	×0.810	16.83%
BB% (unintentional) /BF	8.23%	—	×1.100	9.05%
HR / BF /BF	2.60%	÷1.050	×1.200	2.97%

Result: FIP 3.81 → 4.45, 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 AClearwater Threshers · 7 IPFIP 7.94 → 10.05 (+2.11)K% 17.6% → 13.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.65%	—	×0.740	13.06%
BB% (unintentional) /BF	11.76%	—	×1.180	13.88%
HR / BF /BF	8.82%	÷1.000	×1.300	11.47%

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 100).

Result: FIP 7.94 → 10.05, 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 AANorthwest Arkansas Naturals · 33 IPFIP 3.91 → 4.70 (+0.79)K% 19.2% → 15.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.23%	—	×0.810	15.58%
BB% (unintentional) /BF	10.90%	—	×1.100	11.99%
HR / BF /BF	1.92%	÷0.905	×1.200	2.55%

Result: FIP 3.91 → 4.70, 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+Quad Cities River Bandits · 11 IPFIP 3.10 → 3.89 (+0.79)K% 22.9% → 17.6%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.92%	—	×0.770	17.65%
BB% (unintentional) /BF	6.25%	—	×1.150	7.19%
HR / BF /BF	2.08%	÷1.047	×1.250	2.49%

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 109).

Result: FIP 3.10 → 3.89, 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 AAAOmaha Storm Chasers · 7 IPFIP 3.54 → 3.94 (+0.40)K% 26.3% → 23.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	26.32%	—	×0.880	23.16%
BB% (unintentional) /BF	21.05%	—	×1.050	22.11%
HR / BF /BF	0.00%	÷0.984	×1.100	0.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 97).

Result: FIP 3.54 → 3.94, 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 ROKACL Royals · 5 IPFIP 2.50 → 4.45 (+1.95)K% 38.1% → 25.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	38.10%	—	×0.680	25.90%
BB% (unintentional) /BF	0.00%	—	×1.250	0.00%
HR / BF /BF	4.76%	÷1.035	×1.400	6.44%

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 107).

Result: FIP 2.50 → 4.45, 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 Haake (OGILVIE)	—	—	4.64	22.6%	11.3%	3.0%	—	4.81	22.3%	10.8%	27	+0.17	—	—	—
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	70
Edgar Alberto Garcia R 2017 · 4.01 FIP	29	SP-	4.01	17.3%	10.9%	1.8%	.305	—	—	—	—	—	4.01	272	68
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	66
Jared Fernandez R 2002 · 4.23 FIP	30	SP-	4.23	15.6%	10.0%	2.2%	.323	3.57	11.8%	5.6%	38	-0.66	3.57	101	65
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	65
Chris Mazza R 2020 · 3.94 FIP	30	SP-	3.94	21.3%	11.0%	2.3%	.348	3.95	21.4%	13.5%	111	+0.01	3.29	563	63
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	63
Aldo Montes R 2019 · 4.69 FIP	29	SW	4.69	18.2%	10.6%	3.3%	.336	—	—	—	—	—	4.69	210	63
Josh Zeid R 2017 · 5.35 FIP	30	SW	5.35	18.3%	10.8%	4.4%	.334	—	—	—	—	—	4.00	313	62
Derek Eitel R 2017 · 4.72 FIP	29	SP-	4.72	17.2%	16.0%	1.9%	.273	—	—	—	—	—	3.96	138	62
Jose A. Flores R 2018 · 4.77 FIP	29	SP-	4.77	13.7%	10.3%	2.8%	.350	—	—	—	—	—	2.94	237	61
Alfonso Sanchez R 2017 · 4.51 FIP	29	SW	4.51	12.5%	9.8%	2.2%	.346	7.58	8.6%	1.4%	39	+3.07	4.51	224	60
Aaron Wilkerson R 2019 · 4.67 FIP	30	SP-	4.67	20.9%	9.8%	3.8%	.291	3.33	24.6%	19.0%	112	-1.34	2.75	902	60
Murphy Smith R 2018 · 4.57 FIP	30	SW	4.57	13.6%	9.3%	2.6%	.273	—	—	—	—	—	3.16	300	60
Deck McGuire R 2018 · 5.28 FIP	29	SW	5.28	18.4%	13.2%	3.8%	.262	—	—	—	—	—	3.41	622	60
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	60
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	59
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	59
Lisalverto Bonilla R 2019 · 4.70 FIP	29	SP-	4.70	15.8%	12.6%	2.5%	.265	—	—	—	—	—	3.22	242	59
Michael Mariot R 2019 · 5.01 FIP	30	SP	5.01	19.8%	11.1%	4.0%	.333	5.03	15.8%	7.4%	182	+0.02	2.40	701	58

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	0.3	28	22.4%	11.4%	1.19	4.68
José Cisnero ('24)	1.4	46	24.0%	11.3%	1.01	4.16
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Yency Almonte ('24)	1.1	45	22.5%	9.9%	1.13	4.44
Manny Acosta ('12)	1.2	41	20.5%	10.9%	1.09	3.99
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*