Cooper Hjerpe

P Memphis Redbirds

Age 26 LHP 6'3" / 200 lbs AAA peak 0.6 · 2027

Overview

AAARP40-MANROOKIE

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	22	A+STL	10	8	41	3.51	4.98	29.8%	14.6%	—	K 23.0% · BB 16.8% · FIP 6.23
2024	23	MIX2 levels	15	15	52	3.27	2.55	35.2%	13.0%	—	K 27.5% · BB 14.7% · FIP 3.61
2026	25	MIX5 levels	19	15	54	3.31	3.28	33.2%	17.9%	1.4	K 29.7% · BB 19.0% · FIP 3.67
2027PROJ	26	MLBSTL	7	7	40	4.36	4.49	29.3%	17.4%	0.4
2028PROJ79% MLB	27	MLBSTL	7	7	43	4.44	4.51	28.7%	16.6%	0.4
2029PROJ85% MLB	28	MLBSTL	7	7	43	4.52	4.58	28.2%	16.2%	0.4

Last 3 seasons WAR 1.4 · Next 3 projected WAR 1.3Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%78

xwOBA vs60

FB Velo10

Career WAR0.0 WAR median (P10 -0.3 / P90 1.9, comp-based) · star 0% · didn't stick 91%

CompsScott Moss (age 26) · Brad Mills (age 26) · Brandon Knarr (age 25)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 102110vR 118

ERA4.36

FIP4.49

K%29.3%

BB%17.4%

K-BB%11.9%

Proj IP58

Value2027 · WAR

Runs saved vs league avg · 58 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p1090.4

Whiff%

p4724.8%

p7827.3%

xwOBA vs

p600.302

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)
2023	22	A+ MLE	Peoria Chiefs	10	8	41	171	51	25	8	80%	4.1	23.0%	16.8%	6.2%	5.4%	3.51	6.23	—
2023	22	A+ RAW	Peoria Chiefs	10	8	41	171	51	25	8	80%	4.1	29.8%	14.6%	15.2%	4.7%	3.51	4.98	—
2024	23	MIX MLE	2 levels	15	15	52	216	76	28	3	100%	3.5	27.5%	14.7%	12.7%	1.7%	3.27	3.61	—
2024	23	MIX MLE	2 levels	15	15	52	216	76	28	3	100%	3.5	27.5%	14.7%	12.7%	1.7%	3.27	3.61	—
2024	23	MIX RAW	2 levels	15	15	52	216	76	28	3	100%	3.5	35.2%	13.0%	22.2%	1.4%	3.27	2.55	—
2026	25	MIX MLE	5 levels	19	15	54	229	76	41	3	79%	2.9	29.7%	19.0%	10.6%	1.2%	3.31	3.67	+1.1
2026	25	MIX MLE	5 levels	19	15	54	229	76	41	3	79%	2.9	29.7%	19.0%	10.6%	1.2%	3.31	3.67	+1.1
2026	25	MIX RAW	5 levels	19	15	54	229	76	41	3	79%	2.9	33.2%	17.9%	15.3%	1.3%	3.31	3.28	+1.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			4	0	12	55	15	9	0	0%	3.1	27.3%	16.4%	10.9%	0.0%	4.38	2.86	+0.3
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	26	MLB	STL	7	7	40	169	50	29	4	100%	5.7	29.3%	17.4%	11.9%	2.3%	4.36	4.49	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	27	MLB MLE	STL	9	9	54	229	66	38	6	100%	6.0	28.7%	16.6%	12.1%	2.5%	4.44	4.51	+0.6
2029	28	MLB MLE	STL	8	8	50	213	60	35	6	100%	6.3	28.2%	16.2%	12.0%	2.6%	4.52	4.58	+0.5
2028	27	MLB CTX	STL	7	7	43	182	52	30	4	100%	6.1	28.7%	16.6%	12.1%	2.5%	4.44	4.51	+0.4
2029	28	MLB CTX	STL	7	7	43	182	51	29	5	100%	6.1	28.2%	16.2%	12.0%	2.6%	4.52	4.58	+0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		18	14	98	417	118	68	9	78%	5.4	28.3%	16.4%	11.9%	2.2%	4.47	3.99	+1.6
/ 200 IP	—	RAW		37	29	200	850	241	139	18	78%	5.4	28.3%	16.4%	11.9%	2.2%	4.47	3.99	+3.3
Career	—	MLE		44	38	148	616	167	104	16	86%	3.4	27.0%	16.9%	10.1%	2.6%	3.35	4.36	+1.4
/ 200 IP	—	MLE		60	51	200	834	226	141	21	86%	3.4	27.0%	16.9%	10.1%	2.6%	3.35	4.36	+2.4

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 AAAMemphis Redbirds · 19 IPFIP 2.94 → 3.07 (+0.13)K% 34.2% → 29.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	34.18%	—	×0.860	29.39%
BB% (unintentional) /BF	21.52%	—	×0.900	19.37%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 2.94 → 3.07, 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 AASpringfield Cardinals · 14 IPFIP 3.90 → 5.13 (+1.23)K% 39.7% → 32.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.68%	—	×0.810	32.14%
BB% (unintentional) /BF	19.05%	—	×1.100	20.95%
HR / BF /BF	3.17%	÷1.000	×1.200	3.81%

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 3.90 → 5.13, 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).

2024 A+Peoria Chiefs · 38 IPFIP 2.75 → 3.95 (+1.19)K% 35.2% → 27.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.22%	—	×0.770	27.12%
BB% (unintentional) /BF	12.58%	—	×1.150	14.47%
HR / BF /BF	1.89%	÷0.993	×1.250	2.38%

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 99).

Result: FIP 2.75 → 3.95, 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 AASpringfield Cardinals · 15 IPFIP 1.91 → 2.66 (+0.74)K% 35.1% → 28.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	35.09%	—	×0.810	28.42%
BB% (unintentional) /BF	14.04%	—	×1.100	15.44%
HR / BF /BF	0.00%	÷1.386	×1.200	0.00%

Result: FIP 1.91 → 2.66, 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+Peoria Chiefs · 41 IPFIP 5.00 → 6.23 (+1.23)K% 29.8% → 23.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.82%	—	×0.770	22.96%
BB% (unintentional) /BF	14.62%	—	×1.150	16.81%
HR / BF /BF	4.68%	÷1.093	×1.250	5.35%

Result: FIP 5.00 → 6.23, 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
Cooper Hjerpe (OGILVIE)	—	—	—	—	—	2.3%	—	4.54	28.5%	12.0%	105	+0.05	—	—	—
Scott Moss L 2021 · 4.14 FIP	26	SP-	4.14	26.3%	16.2%	2.2%	.353	—	—	—	—	—	3.83	457	62
Brad Mills L 2011 · 5.37 FIP	26	SP-	5.37	19.8%	12.1%	4.4%	.328	5.61	18.8%	7.9%	21	+0.24	4.22	243	59
Brandon Knarr L 2023 · 5.04 FIP	25	SP-	5.04	24.8%	16.0%	3.7%	.450	—	—	—	—	—	4.08	256	59
Hayden Mullins L 2024 · 4.39 FIP	23	SP-	4.39	23.4%	12.4%	3.1%	.288	3.69	25.5%	11.8%	194	-0.70	3.54	283	58
Hunter Barco L 2024 · 3.61 FIP	23	SP	3.61	23.4%	10.0%	2.2%	.275	3.72	21.1%	10.0%	195	+0.11	3.29	257	58
Tommy Vail L 2024 · 3.65 FIP	25	SW	3.65	27.5%	15.3%	1.7%	.237	5.19	19.5%	2.9%	99	+1.54	3.65	168	55
Will Johnston L 2024 · 3.94 FIP	23	SP-	3.94	24.8%	11.6%	2.7%	.290	4.56	22.9%	7.5%	104	+0.62	3.94	195	53
Mark Manfredi Sr. L 2024 · 4.60 FIP	24	SW	4.60	22.0%	14.9%	2.7%	.289	3.22	25.4%	11.6%	128	-1.38	2.91	204	53
Hung-Chih Kuo L 2007 · 3.91 FIP	26	SP-	3.91	19.3%	10.0%	2.1%	.333	2.04	29.8%	22.7%	170	-1.87	1.63	287	52
Christian MacLeod L 2024 · 4.77 FIP	24	SP	4.77	21.5%	13.6%	3.2%	.269	4.50	18.0%	3.0%	128	-0.27	3.88	280	52
Rylan Kaufman L 2023 · 4.01 FIP	24	SP-	4.01	21.9%	21.8%	0.0%	.282	—	—	—	—	—	4.01	212	52
Anthony Kay L 2021 · 4.94 FIP	26	SP-	4.94	22.9%	11.2%	4.3%	.333	4.20	24.2%	11.2%	69	-0.74	3.44	579	51
Tommy Shirley L 2015 · 3.35 FIP	26	SP-	3.35	19.6%	7.0%	1.9%	.252	4.93	13.0%	4.2%	106	+1.58	3.35	147	50
Tate Kuehner L 2024 · 4.08 FIP	23	SP	4.08	20.5%	13.9%	1.7%	.275	3.85	20.3%	7.9%	164	-0.23	3.83	268	50
Zack Thompson L 2024 · 4.64 FIP	26	SP	4.64	23.7%	12.2%	3.6%	.283	—	—	—	—	—	2.03	402	50
Taylor Varnell L 2021 · 4.48 FIP	26	SP	4.48	20.1%	10.3%	3.2%	.278	—	—	—	—	—	2.89	248	49
Mitch Farris L 2024 · 3.45 FIP	23	SP-	3.45	23.3%	10.7%	1.8%	.304	4.33	22.7%	11.2%	222	+0.88	3.45	327	49
Hayden Wynja L 2024 · 4.79 FIP	25	SP-	4.79	18.0%	10.5%	3.4%	.274	—	—	—	—	—	4.74	154	48
Shawn Morimando L 2019 · 5.17 FIP	26	SP	5.17	21.0%	10.9%	4.5%	.330	5.47	19.4%	10.8%	100	+0.30	3.98	685	48
Brent Headrick L 2024 · 4.12 FIP	26	SP-	4.12	26.7%	7.3%	4.3%	.262	2.73	28.8%	21.4%	125	-1.39	2.36	414	48

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	0.9	58	28.7%	16.7%	0.88	4.43
Derrick Turnbow ('08)	1.3	64	23.4%	14.8%	0.87	4.30
Matt Mantei ('05)	1.6	54	28.0%	14.1%	0.84	4.07
Kyle Barraclough ('23)	1.4	56	28.2%	13.9%	0.99	3.86
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Rod Scurry ('80-'88, 5 WAR*)	2.3	58	29.6%*	13.6%*	0.91*	3.67*
Ken Wright ('70-'74, -0 WAR*)	1.2	79	23.8%*	16.1%*	0.70*	5.24*