Jack Eshleman

P Vancouver Canadians

Age 23 RHP 6'2" / 185 lbs A+

Overview

A+PROSPECT

ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	MIX2 levels	32	48	3.38	3.10	24.3%	11.9%	—	K 17.3% · BB 15.2% · FIP 4.21
2026	22	MIX2 levels	37	67	3.34	4.01	20.4%	6.7%	—	K 15.4% · BB 7.7% · FIP 5.10
2027PROJ	23	MLBTOR	59	62	5.47	5.47	14.5%	11.8%	-0.6
2028PROJ43% MLB	24	MLBTOR	26	27	5.26	5.20	16.4%	11.2%	-0.2
2029PROJ66% MLB	25	MLBTOR	40	42	5.11	5.06	17.5%	10.9%	-0.2

Next 3 projected WAR -1.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Scouting grades · 20-80

Stuff40Control30Command35

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

CompsEverhett Hazelwood (age 23) · Jacinto Arredondo (age 23) · Simon Mercedes (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 137129vR 121

ERA5.47

FIP5.47

K%14.5%

BB%11.8%

K-BB%2.7%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Contract

Scouting Grades

STUF4040

CTRL3030

CMD3535

K†3040

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)
2025	21	MIX MLE	2 levels	32	0	48	202	49	24	2	0%	1.5	17.3%	15.2%	2.1%	1.2%	3.38	4.21	—
2025	21	MIX MLE	2 levels	32	0	48	202	49	24	2	0%	1.5	17.3%	15.2%	2.1%	1.2%	3.38	4.21	—
2025	21	MIX RAW	2 levels	32	0	48	202	49	24	2	0%	1.5	24.3%	11.9%	12.4%	1.0%	3.38	3.10	—
2026	22	MIX MLE	2 levels	37	0	67	270	55	18	9	0%	1.8	15.4%	7.7%	7.6%	4.2%	3.34	5.10	—
2026	22	MIX MLE	2 levels	37	0	67	270	55	18	9	0%	1.8	15.4%	7.7%	7.6%	4.2%	3.34	5.10	—
2026	22	MIX RAW	2 levels	37	0	67	270	55	18	9	0%	1.8	20.4%	6.7%	13.7%	3.3%	3.34	4.01	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	TOR	59	0	62	262	38	31	8	0%	1.1	14.5%	11.8%	2.7%	3.1%	5.47	5.47	-0.6
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	TOR	60	0	63	266	44	30	8	0%	1.1	16.4%	11.2%	5.2%	3.1%	5.26	5.20	-0.5
2029	25	MLB MLE	TOR	61	0	64	270	47	29	8	0%	1.0	17.5%	10.9%	6.7%	3.1%	5.11	5.06	-0.4
2028	24	MLB CTX	TOR	26	0	27	114	19	13	4	0%	1.0	16.4%	11.2%	5.2%	3.1%	5.26	5.20	-0.2
2029	25	MLB CTX	TOR	40	0	42	177	31	19	5	0%	1.1	17.5%	10.9%	6.7%	3.1%	5.11	5.06	-0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		66	0	70	294	50	32	9	0%	1.1	17.1%	11.0%	6.1%	3.1%	5.17	4.73	-0.2
/ 200 IP	—	RAW		190	0	200	844	144	92	26	0%	1.1	17.1%	11.0%	6.1%	3.1%	5.17	4.73	-0.4
Career	—	MLE		69	0	115	472	76	52	14	0%	1.7	16.2%	10.9%	5.3%	2.9%	3.36	4.72	-0.9
/ 200 IP	—	MLE		120	0	200	818	133	89	24	0%	1.7	16.2%	10.9%	5.3%	2.9%	3.36	4.72	-1.4

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
Jack Eshleman (OGILVIE)	—	—	5.47	14.5%	11.8%	3.1%	—	5.13	17.0%	5.9%	127	-0.34	—	—	—
Everhett Hazelwood R 2022 · 5.23 FIP	23	SU	5.23	13.8%	12.2%	3.2%	.306	6.51	18.7%	2.9%	63	+1.28	5.23	117	96
Jacinto Arredondo R 2021 · 4.93 FIP	23	SU	4.93	14.4%	12.7%	2.6%	.310	4.89	15.7%	5.0%	50	-0.04	4.89	101	93
Simon Mercedes R 2015 · 4.86 FIP	23	SU	4.86	14.3%	11.7%	2.7%	.309	4.94	16.4%	3.9%	60	+0.08	4.86	139	90
Randy Messenger R 2005 · 4.90 FIP	23	SU	4.90	16.3%	12.9%	2.8%	.281	3.93	13.8%	7.1%	137	-0.97	3.56	174	89
Taylor Lewis R 2017 · 5.12 FIP	23	SU	5.12	15.4%	11.7%	3.3%	.335	—	—	—	—	—	2.47	142	89
Ian Villers R 2024 · 4.55 FIP	23	SU	4.55	13.2%	11.9%	1.9%	.311	4.23	15.6%	5.2%	59	-0.32	4.23	107	88
Juan Paniagua R 2015 · 4.69 FIP	25	SU	4.69	15.7%	11.9%	2.6%	.262	4.63	16.2%	1.8%	93	-0.06	4.57	151	88
Kieran Lovegrove R 2017 · 4.92 FIP	23	SU	4.92	17.9%	12.6%	3.2%	.273	4.46	19.3%	4.5%	76	-0.46	3.79	215	87
Jared Southard R 2024 · 4.94 FIP	23	SU	4.94	15.8%	13.2%	2.7%	.252	3.90	19.3%	11.2%	140	-1.04	3.82	252	87
Tayler Scott R 2015 · 4.48 FIP	23	SU	4.48	16.7%	12.7%	2.1%	.309	4.09	17.9%	6.2%	162	-0.39	3.17	528	87
Reece Karalus R 2017 · 4.91 FIP	23	SU	4.91	14.0%	9.1%	3.4%	.303	4.73	15.4%	3.5%	55	-0.18	4.73	149	87
Anyelo Leclerc R 2015 · 5.00 FIP	23	SU	5.00	16.2%	9.8%	3.7%	.326	4.65	15.9%	6.1%	96	-0.35	4.65	140	87
Josh Harlow R 2024 · 5.17 FIP	23	SU	5.17	18.5%	13.5%	3.5%	.266	5.73	17.1%	-4.2%	51	+0.56	5.17	107	87
Colby Blueberg R 2016 · 4.42 FIP	23	SU	4.42	17.7%	11.0%	2.6%	.310	3.80	21.6%	10.6%	110	-0.62	2.36	229	87
David Trexler R 2015 · 4.62 FIP	24	SU	4.62	17.7%	13.4%	2.4%	.313	4.44	18.3%	4.8%	31	-0.18	4.44	100	87
Troy Neiman R 2015 · 4.54 FIP	24	SU	4.54	13.1%	8.5%	2.7%	.287	4.47	19.7%	11.7%	135	-0.07	4.03	199	87
Stefan Raeth R 2024 · 4.51 FIP	23	SU	4.51	14.2%	11.4%	2.1%	.279	4.86	19.4%	11.4%	79	+0.35	4.51	173	87
Jake Johansen R 2015 · 5.34 FIP	24	SU	5.34	15.8%	12.8%	3.6%	.351	4.14	13.6%	3.0%	114	-1.20	3.65	162	87
Mark Ecker R 2018 · 5.04 FIP	23	SU	5.04	16.6%	13.3%	3.0%	.230	4.09	16.7%	5.1%	59	-0.95	3.23	180	87
Parker Markel R 2015 · 4.67 FIP	24	SU	4.67	13.6%	12.3%	2.1%	.313	3.18	15.9%	6.2%	61	-1.49	3.18	266	87

Career Comps

Completed MLB careers (no pro action in 2+ yrs) whose totals — actual + projected — most resemble this player's. Pool: 1,474 reliever careers (754 from 1990-2025 + 720 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	63	16.2%	11.3%	1.20	5.28
Brian Stokes ('10)	1.0	52	14.5%	10.1%	1.22	5.27
Luther Hackman ('03)	1.1	71	13.3%	10.9%	1.10	5.09
Rodney Myers ('04)	1.2	60	15.0%	10.3%	1.05	5.07
Daryl Patterson ('68-'74, -1 WAR*)	1.2	46	18.3%*	11.2%*	1.27*	5.03*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*
Bob Macdonald ('90-'96, 1 WAR*)	1.2	59	18.3%*	9.8%*	1.20*	4.32*