Luis Cohen

P Greenville Drive

Age 24 RHP 6'0" / 172 lbs A+ peak 0.5 · 2031

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	21	ASalem Red Sox	23	22	98	3.40	3.50	19.3%	8.5%	—	K 14.3% · BB 10.1% · FIP 4.51
2025	22	MIX2 levels	23	14	91	4.25	3.98	17.4%	8.5%	—	K 13.0% · BB 9.9% · FIP 4.86
2026	23	MIX2 levels	24	5	58	7.29	4.96	20.3%	9.2%	—	K 15.3% · BB 10.7% · FIP 5.98
2027PROJ	24	MLBBOS	—	—	0	5.83	5.83	12.3%	12.2%	—
2028PROJ43% MLB	25	MLBBOS	4	4	26	5.59	5.54	14.5%	11.6%	-0.0
2029PROJ66% MLB	26	MLBBOS	6	6	36	5.42	5.37	15.8%	11.3%	0.0

Next 3 projected WAR -0.0Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff30Control45Command30

Career WAR0.0 WAR median (P10 0.0 / P90 0.0, comp-based) · star 0% · didn't stick 100%

CompsOscar Verdugo (age 25) · Tyler Brashears (age 23) · Wirkin Estevez (age 24)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 144136vR 128

ERA5.83

FIP5.83

K%12.3%

BB%12.2%

K-BB%0.1%

Proj IP67

Value2027 · WAR

Runs saved vs league avg · 67 IP

Grades · Contract

Scouting Grades

STUF3030

CTRL4545

CMD3030

K†3045

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	19	ROK MLE	DSL BOS Blue	13	12	47	191	42	14	0	92%	3.6	15.0%	9.2%	5.8%	0.0%	2.89	3.00	—
2022	19	ROK RAW	DSL BOS Blue	13	12	47	191	42	14	0	92%	3.6	22.0%	7.3%	14.7%	0.0%	2.89	2.20	—
2023	20	ROK MLE	FCL Red Sox	10	7	39	154	39	14	2	70%	3.9	17.2%	11.4%	5.9%	1.9%	3.46	4.11	—
2023	20	ROK RAW	FCL Red Sox	10	7	39	154	39	14	2	70%	3.9	25.3%	9.1%	16.2%	1.3%	3.46	2.84	—
2024	21	A MLE	Salem Red Sox	23	22	98	399	77	34	7	96%	4.3	14.3%	10.1%	4.2%	2.4%	3.40	4.51	—
2024	21	A MLE	Salem Red Sox	23	22	98	399	77	34	7	96%	4.3	14.3%	10.1%	4.2%	2.4%	3.40	4.51	—
2024	21	A RAW	Salem Red Sox	23	22	98	399	77	34	7	96%	4.3	19.3%	8.5%	10.8%	1.8%	3.40	3.50	—
2025	22	MIX MLE	2 levels	23	14	91	390	68	33	9	61%	4.0	13.0%	9.9%	3.1%	2.9%	4.25	4.86	—
2025	22	MIX MLE	2 levels	23	14	91	390	68	33	9	61%	4.0	13.0%	9.9%	3.1%	2.9%	4.25	4.86	—
2025	22	MIX RAW	2 levels	23	14	91	390	68	33	9	61%	4.0	17.4%	8.5%	9.0%	2.3%	4.25	3.98	—
2026	23	MIX MLE	2 levels	24	5	58	271	55	25	11	21%	2.4	15.3%	10.7%	4.6%	5.1%	7.29	5.98	—
2026	23	MIX MLE	2 levels	24	5	58	271	55	25	11	21%	2.4	15.3%	10.7%	4.6%	5.1%	7.29	5.98	—
2026	23	MIX RAW	2 levels	24	5	58	271	55	25	11	21%	2.4	20.3%	9.2%	11.1%	4.1%	7.29	4.96	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	24	MLB	BOS	—	—	0	—	—	—	—	—	—	12.3%	12.2%	0.1%	3.4%	5.83	5.83	—
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	25	MLB MLE	BOS	10	10	60	253	37	29	8	100%	6.0	14.5%	11.6%	2.9%	3.3%	5.59	5.54	-0.1
2029	26	MLB MLE	BOS	9	9	54	229	36	26	8	100%	6.0	15.8%	11.3%	4.5%	3.3%	5.42	5.37	+0.0
2030	27	MLB MLE	BOS	9	9	51	216	35	24	7	100%	5.7	16.1%	11.2%	4.9%	3.3%	5.36	5.36	+0.0
2031	28	MLB MLE	BOS	9	9	52	220	40	23	8	100%	5.8	18.1%	10.4%	7.7%	3.4%	5.22	5.14	+0.2
2032	29	MLB MLE	BOS	8	8	48	204	36	22	7	100%	6.0	17.9%	10.7%	7.2%	3.6%	5.25	5.27	+0.1
2033	30	MLB MLE	BOS	7	7	44	185	32	20	7	100%	6.2	17.5%	11.0%	6.6%	3.8%	5.37	5.45	-0.0
2028	25	MLB CTX	BOS	4	4	26	110	16	13	4	100%	6.5	14.5%	11.6%	2.9%	3.3%	5.59	5.54	-0.0
2029	26	MLB CTX	BOS	6	6	36	152	24	17	5	100%	6.0	15.8%	11.3%	4.5%	3.3%	5.42	5.37	+0.0
2030	27	MLB CTX	BOS	7	7	40	169	27	19	6	100%	5.7	16.1%	11.2%	4.9%	3.3%	5.36	5.36	+0.0
2031	28	MLB CTX	BOS	7	7	44	186	34	19	6	100%	6.3	18.1%	10.4%	7.7%	3.4%	5.22	5.14	+0.1
2032	29	MLB CTX	BOS	7	7	42	177	32	19	6	100%	6.0	17.9%	10.7%	7.2%	3.6%	5.25	5.27	+0.1
2033	30	MLB CTX	BOS	6	6	39	165	29	18	6	100%	6.5	17.5%	11.0%	6.6%	3.8%	5.37	5.45	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		38	38	227	958	161	105	33	100%	6.0	16.8%	11.0%	5.9%	3.5%	5.35	4.96	+1.1
/ 200 IP	—	RAW		33	33	200	844	142	93	29	100%	6.0	16.8%	11.0%	5.9%	3.5%	5.35	4.96	+1.0
Career	—	MLE		93	60	333	1405	204	143	38	65%	3.6	14.6%	10.2%	4.4%	2.7%	4.25	4.64	+0.1
/ 200 IP	—	MLE		56	36	200	845	123	86	23	65%	3.6	14.6%	10.2%	4.4%	2.7%	4.25	4.64	+0.1

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 A+Greenville Drive · 32 IPFIP 5.51 → 6.69 (+1.17)K% 16.8% → 12.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	16.77%	—	×0.770	12.91%
BB% (unintentional) /BF	8.70%	—	×1.150	10.00%
HR / BF /BF	4.97%	÷1.000	×1.250	6.21%

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 100).

Result: FIP 5.51 → 6.69, 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 ASalem RidgeYaks · 26 IPFIP 3.71 → 4.95 (+1.24)K% 25.5% → 18.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.45%	—	×0.740	18.84%
BB% (unintentional) /BF	10.00%	—	×1.180	11.80%
HR / BF /BF	2.73%	÷1.000	×1.300	3.55%

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 3.71 → 4.95, 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).

2025 ASalem Red Sox · 67 IPFIP 3.54 → 4.47 (+0.93)K% 17.3% → 12.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.30%	—	×0.740	12.80%
BB% (unintentional) /BF	9.00%	—	×1.180	10.62%
HR / BF /BF	1.38%	÷0.891	×1.300	2.02%

Result: FIP 3.54 → 4.47, 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).

2025 A+Greenville Drive · 24 IPFIP 5.19 → 5.99 (+0.80)K% 17.8% → 13.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	17.82%	—	×0.770	13.72%
BB% (unintentional) /BF	6.93%	—	×1.150	7.97%
HR / BF /BF	4.95%	÷1.117	×1.250	5.54%

Result: FIP 5.19 → 5.99, 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 ASalem Red Sox · 98 IPFIP 3.51 → 4.51 (+1.00)K% 19.3% → 14.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	19.30%	—	×0.740	14.28%
BB% (unintentional) /BF	8.52%	—	×1.180	10.06%
HR / BF /BF	1.75%	÷0.933	×1.300	2.44%

Result: FIP 3.51 → 4.51, 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).

2023 ROKFCL Red Sox · 39 IPFIP 2.83 → 4.11 (+1.28)K% 25.3% → 17.2%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.32%	—	×0.680	17.22%
BB% (unintentional) /BF	9.09%	—	×1.250	11.36%
HR / BF /BF	1.30%	÷0.974	×1.400	1.87%

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 95).

Result: FIP 2.83 → 4.11, 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 ROKDSL BOS Blue · 47 IPFIP 2.17 → 3.00 (+0.83)K% 22.0% → 15.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	21.99%	—	×0.680	14.95%
BB% (unintentional) /BF	7.33%	—	×1.250	9.16%
HR / BF /BF	0.00%	÷0.893	×1.400	0.00%

Result: FIP 2.17 → 3.00, 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
Luis Cohen (OGILVIE)	—	—	5.83	12.3%	12.2%	3.4%	—	5.43	15.4%	4.1%	165	-0.40	—	—	—
Oscar Verdugo R 2015 · 6.33 FIP	25	SP-	6.33	10.5%	13.9%	4.3%	.241	5.78	10.8%	-1.8%	74	-0.55	5.01	144	86
Tyler Brashears R 2017 · 5.47 FIP	23	SW	5.47	12.1%	13.0%	3.2%	.314	—	—	—	—	—	3.58	156	85
Wirkin Estevez R 2016 · 5.39 FIP	24	SW	5.39	10.7%	13.4%	2.7%	.316	4.46	12.3%	3.5%	179	-0.93	4.37	238	83
Jorge Sosa R 2002 · 5.77 FIP	25	SW	5.77	11.1%	12.4%	3.7%	.228	4.55	15.7%	5.5%	362	-1.22	4.06	773	83
Justin Dillon R 2018 · 5.26 FIP	24	SP-	5.26	11.8%	8.8%	3.7%	.265	4.34	15.6%	9.1%	124	-0.92	3.65	239	82
LJ Brewster R 2017 · 5.07 FIP	23	SW	5.07	9.4%	11.0%	2.5%	.266	—	—	—	—	—	4.41	143	81
Jacob Meador R 2024 · 5.34 FIP	23	SP-	5.34	15.6%	14.0%	3.2%	.301	6.73	14.7%	-6.6%	50	+1.39	5.34	139	81
Boone Whiting R 2015 · 5.33 FIP	25	SP-	5.33	11.3%	13.9%	2.6%	.337	4.88	10.9%	4.8%	132	-0.45	4.88	227	81
Dane Myers R 2019 · 5.32 FIP	23	SW	5.32	12.2%	11.5%	3.3%	.287	—	—	—	—	—	4.26	125	80
Felipe Gonzalez R 2016 · 5.47 FIP	24	SP-	5.47	14.7%	10.6%	4.1%	.330	4.12	19.9%	10.4%	139	-1.35	3.27	339	80
Ryan Jensen R 2001 · 5.03 FIP	25	SP-	5.03	13.5%	13.0%	2.6%	.285	4.82	13.4%	5.2%	185	-0.21	4.35	253	80
Cobi Johnson R 2019 · 5.52 FIP	23	SP-	5.52	16.0%	14.8%	3.5%	.257	4.54	19.9%	1.4%	41	-0.98	4.54	140	80
Dennis O'Grady R 2015 · 4.95 FIP	26	SW	4.95	13.5%	11.0%	2.9%	.339	—	—	—	—	—	3.62	157	79
Jeff Manship R 2009 · 4.69 FIP	24	SW	4.69	14.4%	10.3%	2.7%	.330	4.23	14.9%	9.5%	51	-0.46	2.83	250	79
Lauro Ramirez R 2015 · 5.80 FIP	25	SP-	5.80	9.5%	10.1%	4.1%	.382	4.99	7.2%	-3.4%	90	-0.81	4.99	140	79
Justin Miller R 2002 · 5.01 FIP	24	SP-	5.01	14.5%	13.6%	2.6%	.280	5.41	12.5%	2.1%	82	+0.40	2.63	373	79
Hunter Adkins R 2016 · 4.64 FIP	25	SW	4.64	16.2%	10.3%	2.9%	.290	4.82	11.8%	0.5%	58	+0.18	4.64	160	79
Tyler Schlaffer R 2024 · 5.08 FIP	23	SP-	5.08	14.5%	13.3%	2.8%	.298	4.13	20.3%	7.7%	190	-0.95	3.79	399	79
Andrew Thurman R 2016 · 6.31 FIP	24	SP-	6.31	14.4%	16.9%	4.2%	.291	2.59	16.8%	9.6%	25	-3.72	2.59	264	78
Alfonso Sanchez R 2015 · 4.96 FIP	27	SP-	4.96	12.5%	9.1%	3.2%	.346	4.85	14.0%	5.3%	138	-0.11	4.51	224	78

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	1.9	54	15.8%	11.2%	1.32	5.46
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Scott Proctor ('11)	1.7	57	19.0%	10.9%	1.52	4.78
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Dennis Powell ('85-'93, -2 WAR*)	1.7	49	17.6%*	10.1%*	1.18*	5.31*