Casey Hintz

P Everett AquaSox

Age 23 RHP 6'0" / 161 lbs A+ peak 0.2 · 2030

Overview

A+PROSPECT

Scout OFP40ETA2028MLB%0%

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2025	21	MIX2 levels	7	8	6.75	4.72	22.5%	15.0%	—	K 22.5% · BB 15.0% · FIP 4.47
2026	22	A+SEA	36	55	4.25	3.35	27.1%	7.7%	—	K 20.9% · BB 8.8% · FIP 4.40
2027PROJ	23	MLBSEA	59	62	4.51	4.51	21.2%	8.9%	0.0
2028PROJ43% MLB	24	MLBSEA	26	27	4.43	4.39	22.0%	8.6%	0.1
2029PROJ66% MLB	25	MLBSEA	40	42	4.37	4.33	22.5%	8.5%	0.1

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

Contract

No contract data on file.

Scouting grades · 20-80

Stuff50Control50FB velo50

Career WAR0 WAR median (P10 -0 / P90 0, comp-based) · star 0% · didn't stick 97%

CompsAustin Ross (age 24) · Shay Schanaman (age 24) · Carlos Navas (age 23)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.51

FIP4.51

K%21.2%

BB%8.9%

K-BB%12.3%

Proj IP62

Value2027 · WAR

Runs saved vs league avg · 62 IP

Grades · Contract

Scouting Grades

OFP—40

STUF—50

CTRL—50

K†5055

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	7	0	8	40	9	6	1	0%	1.1	22.5%	15.0%	7.5%	2.5%	6.75	4.47	—
2025	21	MIX MLE	2 levels	7	0	8	40	9	6	1	0%	1.1	22.5%	15.0%	7.5%	2.5%	6.75	4.47	—
2025	21	MIX RAW	2 levels	7	0	8	40	9	6	1	0%	1.1	22.5%	15.0%	7.5%	2.5%	6.75	4.72	—
2026	22	A+ MLE	Everett AquaSox	36	0	55	247	67	19	7	0%	1.5	20.9%	8.8%	12.0%	3.5%	4.25	4.40	—
2026	22	A+ MLE	Everett AquaSox	36	0	55	247	67	19	7	0%	1.5	20.9%	8.8%	12.0%	3.5%	4.25	4.40	—
2026	22	A+ RAW	Everett AquaSox	36	0	55	247	67	19	7	0%	1.5	27.1%	7.7%	19.4%	2.8%	4.25	3.35	—
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	23	MLB	SEA	59	0	62	262	56	23	8	0%	1.1	21.2%	8.9%	12.3%	3.1%	4.51	4.51	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	24	MLB MLE	SEA	60	0	63	266	59	23	8	0%	1.1	22.0%	8.6%	13.4%	3.1%	4.43	4.39	+0.1
2029	25	MLB MLE	SEA	61	0	64	270	61	23	8	0%	1.0	22.5%	8.5%	14.0%	3.0%	4.37	4.33	+0.2
2030	26	MLB MLE	SEA	61	0	64	270	61	23	8	0%	1.0	22.7%	8.5%	14.2%	3.0%	4.33	4.30	+0.2
2031	27	MLB MLE	SEA	60	0	63	266	60	23	8	0%	1.0	22.7%	8.6%	14.1%	3.1%	4.34	4.34	+0.2
2028	24	MLB CTX	SEA	26	0	27	114	25	10	3	0%	1.0	22.0%	8.6%	13.4%	3.1%	4.43	4.39	+0.1
2029	25	MLB CTX	SEA	40	0	42	177	40	15	5	0%	1.1	22.5%	8.5%	14.0%	3.0%	4.37	4.33	+0.1
2030	26	MLB CTX	SEA	49	0	51	215	49	18	7	0%	1.0	22.7%	8.5%	14.2%	3.0%	4.33	4.30	+0.1
2031	27	MLB CTX	SEA	51	0	54	228	52	20	7	0%	1.1	22.7%	8.6%	14.1%	3.1%	4.34	4.34	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		166	0	174	734	166	63	22	0%	1.0	22.6%	8.6%	14.0%	3.1%	4.36	3.95	+1.2
/ 200 IP	—	RAW		190	0	200	844	191	72	25	0%	1.1	22.6%	8.6%	14.0%	3.1%	4.36	3.95	+1.4
Career	—	MLE		43	0	63	287	61	28	10	0%	1.5	21.1%	9.7%	11.4%	3.4%	4.57	4.41	+0.6
/ 200 IP	—	MLE		137	0	200	911	192	88	31	0%	1.5	21.1%	9.7%	11.4%	3.4%	4.57	4.41	+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
Casey Hintz (OGILVIE)	—	—	4.51	21.2%	8.9%	3.1%	—	4.34	22.4%	13.9%	191	-0.17	—	—	—
Austin Ross R 2019 · 4.41 FIP	24	SU	4.41	20.7%	9.6%	3.4%	.281	5.19	21.2%	5.7%	55	+0.78	4.41	121	93
Shay Schanaman R 2024 · 4.34 FIP	24	SU	4.34	21.0%	7.6%	3.7%	.292	6.05	16.4%	2.8%	90	+1.71	4.34	148	91
Carlos Navas R 2016 · 3.67 FIP	23	SU	3.67	22.0%	8.4%	2.5%	.283	3.52	22.0%	16.1%	229	-0.15	2.98	385	91
Hueston Morrill R 2024 · 4.54 FIP	24	SU	4.54	19.8%	8.7%	3.7%	.302	3.24	19.0%	8.2%	54	-1.30	3.09	102	91
Johnny Barbato R 2015 · 3.57 FIP	23	SU	3.57	21.3%	9.4%	2.0%	.284	4.32	21.6%	11.4%	167	+0.75	2.59	304	91
Heath Holder R 2016 · 4.16 FIP	23	SU	4.16	21.1%	10.1%	2.8%	.287	3.30	22.3%	13.1%	247	-0.86	2.94	367	90
Andrew Cashner R 2010 · 4.51 FIP	23	SU	4.51	20.2%	10.1%	3.4%	.285	3.30	19.9%	13.0%	221	-1.21	2.94	1,185	90
Austin Smith R 2022 · 3.88 FIP	23	SU	3.88	22.7%	10.0%	2.6%	.274	5.15	16.3%	0.7%	52	+1.27	3.88	148	90
Darin Gillies R 2016 · 4.22 FIP	23	SU	4.22	22.0%	8.2%	3.5%	.236	4.71	20.1%	10.1%	183	+0.49	4.22	295	90
Breckin Williams R 2018 · 3.65 FIP	24	SU	3.65	22.6%	7.3%	2.8%	.282	2.78	23.4%	15.8%	48	-0.87	2.76	107	89
Alex Palsha R 2016 · 3.84 FIP	24	SU	3.84	20.6%	10.4%	2.1%	.288	3.83	15.3%	4.4%	77	-0.01	3.40	134	89
Tyler Bray R 2015 · 4.07 FIP	23	SU	4.07	22.3%	9.1%	3.1%	.356	3.21	17.9%	7.6%	114	-0.86	2.82	152	88
Ocean Gabonia R 2024 · 3.71 FIP	23	SU	3.71	19.7%	6.8%	2.6%	.316	2.79	18.4%	8.6%	41	-0.92	2.79	144	88
Fineas Del Bonta-Smith R 2021 · 3.52 FIP	24	SU	3.52	23.4%	8.2%	2.5%	.262	6.05	20.5%	11.4%	128	+2.53	3.52	207	88
Alex Klonowski R 2015 · 3.58 FIP	23	SU	3.58	21.8%	9.4%	2.1%	.331	4.69	14.3%	7.1%	413	+1.11	3.58	539	88
Matt Pierpont R 2015 · 4.21 FIP	24	SU	4.21	17.8%	7.1%	3.1%	.295	3.25	21.7%	13.8%	190	-0.96	2.76	280	88
Colby Morris R 2021 · 4.11 FIP	24	SU	4.11	20.4%	10.7%	2.5%	.291	5.76	16.2%	4.4%	54	+1.65	4.11	105	88
Luke Bell R 2024 · 3.62 FIP	23	SU	3.62	20.4%	9.9%	1.8%	.295	5.69	13.1%	1.3%	66	+2.07	3.62	110	88
Matt Frawley R 2018 · 4.35 FIP	22	SU	4.35	19.5%	10.0%	3.0%	.310	—	—	—	—	—	2.25	139	88
Josh Advocate R 2018 · 3.78 FIP	24	SU	3.78	18.8%	7.3%	2.4%	.291	3.71	20.4%	10.1%	75	-0.07	3.71	118	88

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	1.6	63	22.2%	8.6%	1.18	4.40
Michael Tonkin ('25)	1.6	55	23.2%	8.1%	1.28	4.23
Chris Hatcher ('18)	1.3	53	22.9%	8.4%	1.32	4.65
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Bill Scherrer ('82-'88, 1 WAR*)	1.6	62	20.7%*	10.2%*	1.19*	4.44*
Ed Vande Berg ('82-'88, 3 WAR*)	2.6	74	19.6%*	8.8%*	1.07*	4.07*
Gary Wayne ('89-'94, 2 WAR*)	1.2	62	19.9%*	9.4%*	1.05*	3.88*