Harry Canedo

P DSL Red Sox Blue

Age 18 RHP ROK

Overview

ROKPROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2026	17	ROKDSL Red Sox B…	9	2	13	5.54	3.56	14.8%	13.1%	—	K 10.0% · BB 16.4% · FIP 4.33
2027PROJ	18	MLBBOS	8	0	8	5.02	5.02	20.8%	13.2%	-0.0
2028PROJ49% MLB	19	MLBBOS	10	0	10	4.84	4.76	21.4%	11.9%	-0.0

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

Contract

No contract data on file.

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

CompsRaimon Gomez (age 19) · Kevin Rodriguez (age 18) · Leury Tejada (age 18)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 129120vR 112

ERA5.02

FIP5.02

K%20.8%

BB%13.2%

K-BB%7.5%

Proj IP8

Value2027 · WAR

Runs saved vs league avg · 8 IP

Grades · Contract

Scouting Grades

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 industry-standard fWAR.

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)
2026	17	ROK MLE	DSL Red Sox Blue	9	2	13	61	9	8	0	22%	1.4	10.0%	16.4%	-6.4%	0.0%	5.54	4.33	—
2026	17	ROK MLE	DSL Red Sox Blue	9	2	13	61	9	8	0	22%	1.4	10.0%	16.4%	-6.4%	0.0%	5.54	4.33	—
2026	17	ROK RAW	DSL Red Sox Blue	9	2	13	61	9	8	0	22%	1.4	14.8%	13.1%	1.6%	0.0%	5.54	3.56	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	18	MLB	BOS	8	0	8	34	7	4	1	0%	1.0	20.8%	13.2%	7.5%	2.9%	5.02	5.02	-0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	19	MLB MLE	BOS	19	0	20	84	18	10	2	0%	1.1	21.4%	11.9%	9.6%	2.9%	4.84	4.76	-0.0
2028	19	MLB CTX	BOS	10	0	10	42	9	5	1	0%	1.0	21.4%	11.9%	9.6%	2.9%	4.84	4.76	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		9	0	10	42	9	5	1	0%	1.1	21.4%	11.9%	9.6%	2.9%	4.84	4.38	+0.0
/ 200 IP	—	RAW		190	0	200	844	183	102	20	0%	1.1	21.4%	11.9%	9.6%	2.9%	4.84	4.38	+0.4
Career	—	MLE		9	2	13	61	6	10	0	22%	1.4	10.0%	16.4%	-6.4%	0.0%	5.54	4.33	-0.0
/ 200 IP	—	MLE		138	31	200	938	94	154	0	22%	1.4	10.0%	16.4%	-6.4%	0.0%	5.54	4.33	-0.5

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
Harry Canedo (OGILVIE)	—	—	5.02	20.8%	13.2%	2.9%	—	4.76	21.4%	9.6%	20	-0.26	—	—	—
Raimon Gomez R 2021 · 4.90 FIP	19	SW	4.90	17.3%	13.6%	2.8%	.265	3.28	19.5%	8.0%	48	-1.62	3.28	103	88
Kevin Rodriguez R 2019 · 4.37 FIP	18	SU	4.37	17.4%	12.8%	2.0%	.279	4.14	16.7%	7.6%	41	-0.23	2.34	188	81
Leury Tejada R 2018 · 4.03 FIP	18	SW	4.03	16.5%	10.1%	1.9%	.286	5.06	17.4%	6.2%	39	+1.03	4.03	183	81
Augusto Mendieta R 2023 · 5.24 FIP	18	SU	5.24	19.4%	12.5%	4.0%	.439	3.82	21.0%	10.4%	118	-1.42	2.29	133	81
Chase Ingram R 2015 · 4.11 FIP	20	SU	4.11	23.2%	15.8%	1.8%	.244	4.14	15.8%	3.0%	154	+0.03	4.04	174	80
Francisco Frias R 2023 · 5.74 FIP	18	SU	5.74	20.8%	14.1%	4.8%	.294	4.83	19.2%	2.2%	134	-0.91	4.00	148	79
Yordin Chalas R 2023 · 4.56 FIP	19	SU	4.56	17.3%	10.6%	2.9%	.294	3.92	19.9%	7.8%	116	-0.64	3.67	140	79
Alejandro Lugo R 2021 · 4.91 FIP	18	SU	4.91	20.4%	16.7%	2.6%	.265	4.96	16.7%	3.1%	98	+0.05	3.77	159	79
Saul Teran R 2022 · 4.81 FIP	20	SW	4.81	17.5%	9.8%	3.5%	.333	3.88	20.8%	8.7%	94	-0.93	2.28	166	78
Efrailin Ramos R 2024 · 4.31 FIP	18	SU	4.31	21.0%	15.7%	1.8%	.284	3.35	17.0%	6.4%	106	-0.96	3.11	142	78
Will Kobos R 2018 · 5.58 FIP	20	SW	5.58	19.3%	16.0%	3.8%	.313	3.46	26.6%	11.6%	76	-2.12	2.44	139	78
Joangel Gonzalez R 2024 · 4.23 FIP	20	SU	4.23	18.3%	11.7%	2.1%	.312	5.15	18.3%	2.5%	116	+0.92	3.93	151	78
Harold Cortijo R 2017 · 4.46 FIP	18	SU	4.46	19.1%	9.8%	3.1%	.309	5.64	13.5%	2.2%	73	+1.18	4.15	179	78
Miguel Castro R 2015 · 4.61 FIP	20	SU	4.61	19.1%	10.9%	3.2%	.290	4.55	14.5%	4.9%	207	-0.06	3.34	554	78
Drew Pestka R 2024 · 4.26 FIP	20	SU	4.26	19.0%	15.1%	1.6%	.298	4.55	18.1%	0.7%	83	+0.29	3.42	100	77
Angel Guillen R 2015 · 3.92 FIP	18	SU	3.92	20.6%	10.2%	2.3%	.411	3.44	15.7%	8.6%	78	-0.48	3.37	181	77
Luis A. Reyes R 2022 · 4.89 FIP	18	SW	4.89	17.7%	14.5%	2.6%	.422	6.15	14.4%	-12.8%	81	+1.26	4.89	123	77
Anthony Hoopii-Tuionetoa R 2021 · 4.14 FIP	20	SU	4.14	25.1%	13.3%	2.7%	.327	3.29	23.8%	13.4%	81	-0.85	3.21	104	77
Evan Phillips R 2015 · 3.96 FIP	20	SU	3.96	21.4%	13.7%	1.7%	.300	3.85	22.0%	10.7%	177	-0.11	1.52	522	77
Samuel Valerio R 2019 · 4.00 FIP	17	SW	4.00	18.2%	14.0%	1.2%	.310	5.95	14.2%	-7.2%	38	+1.95	4.00	117	77