Harrison Cohen

P Somerset Patriots

Age 28 RHP 6'0" / 211 lbs AA

Overview

AAPROSPECT

MLB%2%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	25	MIX3 levels	18	1	27	1.35	2.42	28.2%	8.7%	—	K 25.3% · BB 1.6% · FIP 2.12
2025	26	MIX2 levels	49	1	51	1.76	2.81	28.2%	14.4%	—	K 23.6% · BB 14.2% · FIP 3.21
2026	27	MIX2 levels	42	0	48	7.45	5.67	23.7%	16.8%	—	K 19.7% · BB 17.0% · FIP 6.03
2027PROJ	28	MLBNYY	1	0	1	5.34	5.34	21.0%	15.2%	-0.0
2028PROJ23% MLB	29	MLBNYY	10	0	10	5.32	5.37	21.0%	14.9%	-0.1
2029PROJ39% MLB	30	MLBNYY	13	0	14	5.38	5.47	20.8%	14.7%	-0.1

Next 3 projected WAR -0.2Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

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

CompsSpencer Bivens (age 28) · Wirfin Obispo (age 30) · Cole McDonald (age 27)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 135126vR 118

ERA5.34

FIP5.34

K%21.0%

BB%15.2%

K-BB%5.7%

Proj IP59

Value2027 · WAR

Runs saved vs league avg · 59 IP

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	24	MIX MLE	3 levels	36	0	52	226	67	26	5	0%	1.5	22.4%	13.4%	9.0%	3.0%	3.61	4.56	—
2023	24	MIX RAW	3 levels	36	0	52	226	67	26	5	0%	1.5	29.6%	11.5%	18.1%	2.2%	3.61	3.27	—
2024	25	MIX MLE	3 levels	18	1	27	103	29	9	1	6%	1.5	25.3%	1.6%	23.7%	1.7%	1.35	2.12	—
2024	25	MIX MLE	3 levels	18	1	27	103	29	9	1	6%	1.5	25.3%	1.6%	23.7%	1.7%	1.35	2.12	—
2024	25	MIX RAW	3 levels	18	1	27	103	29	9	1	6%	1.5	28.2%	8.7%	19.4%	1.0%	1.35	2.42	—
2025	26	MIX MLE	2 levels	49	1	51	209	59	30	1	2%	1.0	23.6%	14.2%	9.4%	0.6%	1.76	3.21	—
2025	26	MIX MLE	2 levels	49	1	51	209	59	30	1	2%	1.0	23.6%	14.2%	9.4%	0.6%	1.76	3.21	—
2025	26	MIX RAW	2 levels	49	1	51	209	59	30	1	2%	1.0	28.2%	14.4%	13.9%	0.5%	1.76	2.81	—
2026	27	MIX MLE	2 levels	42	0	48	232	55	39	9	0%	1.2	19.7%	17.0%	2.7%	4.4%	7.45	6.03	—
2026	27	MIX MLE	2 levels	42	0	48	232	55	39	9	0%	1.2	19.7%	17.0%	2.7%	4.4%	7.45	6.03	—
2026	27	MIX RAW	2 levels	42	0	48	232	55	39	9	0%	1.2	23.7%	16.8%	6.9%	3.9%	7.45	5.67	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	28	MLB	NYY	1	0	1	4	1	1	0	0%	1.0	21.0%	15.2%	5.7%	3.1%	5.34	5.34	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	29	MLB MLE	NYY	41	0	43	180	38	27	6	0%	1.0	21.0%	14.9%	6.1%	3.2%	5.32	5.37	-0.4
2029	30	MLB MLE	NYY	33	0	35	147	31	22	5	0%	1.1	20.8%	14.7%	6.1%	3.4%	5.38	5.47	-0.4
2028	29	MLB CTX	NYY	10	0	10	42	9	6	1	0%	1.0	21.0%	14.9%	6.1%	3.2%	5.32	5.37	-0.1
2029	30	MLB CTX	NYY	13	0	14	59	12	9	2	0%	1.1	20.8%	14.7%	6.1%	3.4%	5.38	5.47	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		22	0	23	99	21	15	3	0%	1.1	20.9%	14.8%	6.1%	3.3%	5.35	5.05	-0.1
/ 200 IP	—	RAW		190	0	200	844	180	128	26	0%	1.1	20.9%	14.8%	6.1%	3.3%	5.35	5.05	-1.2
Career	—	MLE		145	2	178	770	172	101	20	1%	1.2	22.3%	13.1%	9.2%	2.6%	3.79	4.31	-0.8
/ 200 IP	—	MLE		163	2	200	864	193	113	22	1%	1.2	22.3%	13.1%	9.2%	2.6%	3.79	4.31	-2.0

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 AASomerset Patriots · 28 IPFIP 4.91 → 5.80 (+0.89)K% 22.2% → 18.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	22.22%	—	×0.810	18.00%
BB% (unintentional) /BF	16.30%	—	×1.100	17.93%
HR / BF /BF	2.96%	÷1.000	×1.200	3.56%

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 4.91 → 5.80, 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).

2026 AAAScranton/Wilkes-Barre RailRiders · 20 IPFIP 5.97 → 6.34 (+0.37)K% 25.8% → 22.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.77%	—	×0.860	22.16%
BB% (unintentional) /BF	17.53%	—	×0.900	15.77%
HR / BF /BF	5.15%	÷1.000	×1.100	5.67%

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 5.97 → 6.34, 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 AAAScranton/Wilkes-Barre RailRiders · 29 IPFIP 2.85 → 2.96 (+0.11)K% 25.0% → 21.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.00%	—	×0.860	21.50%
BB% (unintentional) /BF	14.66%	—	×0.900	13.19%
HR / BF /BF	0.00%	÷1.070	×1.100	0.00%

Result: FIP 2.85 → 2.96, 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 AASomerset Patriots · 22 IPFIP 2.74 → 3.53 (+0.79)K% 32.3% → 26.1%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.26%	—	×0.810	26.13%
BB% (unintentional) /BF	13.98%	—	×1.100	15.38%
HR / BF /BF	1.08%	÷1.030	×1.200	1.25%

Result: FIP 2.74 → 3.53, 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+Hudson Valley Renegades · 19 IPFIP 1.29 → 2.12 (+0.83)K% 32.9% → 25.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.86%	—	×0.770	25.30%
BB% (unintentional) /BF	1.43%	—	×1.150	1.64%
HR / BF /BF	1.43%	÷1.032	×1.250	1.73%

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 106).

Result: FIP 1.29 → 2.12, 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).

2024 ATampa Tarpons · 6 IPFIP 5.07 → 6.04 (+0.97)K% 16.7% → 12.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.67%	—	×0.740	12.33%
BB% (unintentional) /BF	26.67%	—	×1.180	31.47%
HR / BF /BF	0.00%	÷0.979	×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 96).

Result: FIP 5.07 → 6.04, 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+Hudson Valley Renegades · 47 IPFIP 3.45 → 4.56 (+1.11)K% 29.1% → 22.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	29.13%	—	×0.770	22.43%
BB% (unintentional) /BF	11.65%	—	×1.150	13.40%
HR / BF /BF	2.43%	÷1.006	×1.250	3.01%

Result: FIP 3.45 → 4.56, 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
Harrison Cohen (OGILVIE)	—	—	—	—	—	3.1%	—	5.41	20.9%	6.1%	78	+0.07	—	—	—
Spencer Bivens R 2022 · 4.86 FIP	28	SU	4.86	19.8%	13.5%	3.1%	.265	3.85	18.1%	10.3%	272	-1.01	3.52	391	88
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	83
Cole McDonald R 2024 · 5.01 FIP	27	SU	5.01	20.9%	12.7%	3.8%	.281	—	—	—	—	—	2.81	153	83
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	82
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	82
Gregory Infante R 2015 · 4.54 FIP	28	SU	4.54	16.9%	15.7%	1.6%	.290	3.78	21.3%	12.7%	181	-0.76	2.97	230	82
Ronald Peña R 2019 · 4.55 FIP	27	SU	4.55	20.5%	12.6%	2.9%	.355	4.49	16.5%	6.1%	39	-0.06	3.72	187	82
Jose Veras R 2009 · 5.13 FIP	28	SU	5.13	17.8%	12.4%	3.6%	.228	3.57	26.3%	14.0%	186	-1.56	3.37	422	82
Wil Browning R 2017 · 4.44 FIP	28	SU	4.44	17.9%	13.1%	2.2%	.359	—	—	—	—	—	2.14	162	81
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	80
Luis Mateo R 2017 · 4.60 FIP	27	SU	4.60	17.6%	11.2%	2.9%	.309	5.55	8.6%	-4.8%	43	+0.95	3.48	160	79
Chris Jefferson R 2024 · 5.65 FIP	27	SU	5.65	16.4%	13.6%	4.0%	.308	—	—	—	—	—	3.53	140	79
Jose Rafael De Paula R 2019 · 4.43 FIP	28	SU	4.43	23.3%	13.6%	2.9%	.313	—	—	—	—	—	2.64	315	78
Tyler Yates R 2006 · 4.17 FIP	28	SU	4.17	21.2%	10.6%	2.8%	.254	3.70	20.7%	11.1%	151	-0.47	3.23	248	78
Cody Tucker R 2024 · 4.97 FIP	25	SU	4.97	22.0%	12.0%	4.0%	.272	5.36	15.8%	-1.9%	40	+0.39	4.97	105	78
Beck Wheeler R 2017 · 5.40 FIP	28	SU	5.40	15.3%	12.2%	3.7%	.347	—	—	—	—	—	3.46	173	78
Kevin Gryboski R 2002 · 5.02 FIP	28	SU	5.02	13.9%	13.4%	2.5%	.263	3.83	12.0%	2.9%	126	-1.19	3.67	178	78
Thad Weber R 2013 · 5.18 FIP	28	SU	5.18	16.4%	13.1%	3.3%	.244	4.52	12.2%	6.0%	308	-0.66	4.40	378	77
Jake Haberer R 2023 · 5.10 FIP	28	SU	5.10	16.4%	14.7%	2.8%	.262	5.03	16.2%	-1.4%	15	-0.07	3.46	183	77
Kevin Lenik R 2019 · 4.91 FIP	27	SU	4.91	21.7%	14.9%	3.2%	.205	—	—	—	—	—	3.00	107	77

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	0.7	46	20.9%	15.0%	1.25	5.34
Doug Creek ('05)	1.4	58	22.2%	15.1%	1.52	5.32
Richie Lewis ('98)	1.5	59	18.1%	14.1%	1.38	4.88
Armando Almanza ('05)	1.1	54	24.4%	14.3%	1.43	4.82
Dwayne Henry ('84-'95, -1 WAR*)	1.7	67	23.8%*	14.2%*	0.90*	5.02*
Gene Harris ('89-'95, -1 WAR*)	1.2	40	20.0%*	12.5%*	0.98*	4.96*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*