Sean Hjelle

P Sacramento River Cats

Age 30 RHP 6'11" / 247 lbs AAA peak 0.4 · 2027

Overview

AAARP

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2023	26	MIX2 levels	37	19	122	6.12	4.51	18.1%	9.1%	0.6	K 16.3% · BB 8.4% · FIP 4.54
2024	27	MIX3 levels	63	0	86	3.87	3.16	22.8%	3.6%	1.4	K 22.3% · BB 3.6% · FIP 3.43
2025	28	MIX2 levels	50	1	83	3.92	2.60	22.6%	6.4%	1.9	K 19.9% · BB 6.0% · FIP 2.87
2027PROJ	30	MLBSF	60	0	63	4.03	3.88	20.8%	5.8%	0.5
2028PROJ37% MLB	31	MLBSF	21	0	22	4.08	4.11	20.1%	6.1%	0.1
2029PROJ55% MLB	32	MLBSF	29	0	30	4.25	4.37	19.3%	6.5%	0.1

Last 3 seasons WAR 3.9 · Next 3 projected WAR 0.7Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2025

FB Velo37

Whiff%37

xwOBA vs15

K%10

CompsTiago Da Silva (age 30) · Josh A. Smith (age 30) · Jose Contreras (age 31)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 10799vR 91

ERA4.03

FIP3.88

K%20.8%

BB%5.8%

K-BB%15.1%

Proj IP63

Value2027 · WAR

Runs saved vs league avg · 63 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—45

STUF5050

CTRL5555

CMD4550

K†5050

Statcast Percentiles

FB Velo

p3793.6

Whiff%

p3723.4%

p1015.1%

xwOBA vs

p150.353

SI (50%)

FB (50%)

CT-1.6 (15%)

SL-2.9 (35%)

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)
2019	22	MIX MLE	3 levels	28	28	144	616	139	36	6	100%	5.1	17.3%	6.7%	10.6%	1.2%	3.32	3.16	—
2019	22	MIX RAW	3 levels	28	28	144	616	139	36	6	100%	5.1	22.6%	5.8%	16.7%	1.0%	3.32	2.46	—
2021	24	MIX MLE	2 levels	24	24	119	522	104	47	14	100%	5.0	16.6%	9.6%	7.0%	3.3%	4.31	4.71	—
2021	24	MIX RAW	2 levels	24	24	119	522	104	47	14	100%	5.0	19.9%	9.0%	10.9%	2.7%	4.31	4.07	—
2022	25	MIX MLE	2 levels	30	22	122	558	108	46	14	73%	4.1	17.6%	8.6%	9.1%	2.8%	5.09	4.22	+1.0
2022	25	MIX RAW	2 levels	30	22	122	558	108	46	14	73%	4.1	19.4%	8.2%	11.1%	2.5%	5.09	3.95	+1.4
2023	26	MIX MLE	2 levels	37	19	122	559	101	51	17	51%	3.3	16.3%	8.4%	7.9%	3.2%	6.12	4.54	+0.5
2023	26	MIX RAW	2 levels	37	19	122	559	101	51	17	51%	3.3	18.1%	9.1%	8.9%	3.0%	6.12	4.51	+0.6
2024	27	MIX MLE	3 levels	63	0	86	359	82	13	10	0%	1.4	22.3%	3.6%	18.7%	3.2%	3.87	3.43	+1.1
2024	27	MIX MLE	3 levels	63	0	86	359	82	13	10	0%	1.4	22.3%	3.6%	18.7%	3.2%	3.87	3.43	+1.1
2024	27	MIX RAW	3 levels	63	0	86	359	82	13	10	0%	1.4	22.8%	3.6%	19.2%	2.8%	3.87	3.16	+1.4
2025	28	MIX MLE	2 levels	50	1	83	358	81	23	4	2%	1.7	19.9%	6.0%	13.9%	1.3%	3.92	2.87	+1.7
2025	28	MIX MLE	2 levels	50	1	83	358	81	23	4	2%	1.7	19.9%	6.0%	13.9%	1.3%	3.92	2.87	+1.7
2025	28	MIX RAW	2 levels	50	1	83	358	81	23	4	2%	1.7	22.6%	6.4%	16.2%	1.1%	3.92	2.60	+1.9
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			93	1	150	664	145	39	18	1%	1.6	21.8%	5.9%	16.0%	2.7%	5.11	3.51	+1.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	30	MLB	SF	60	0	63	266	55	15	7	0%	1.1	20.8%	5.8%	15.1%	2.6%	4.03	3.88	+0.5
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	31	MLB MLE	SF	56	0	58	247	50	15	7	0%	1.0	20.1%	6.1%	14.0%	2.8%	4.08	4.11	+0.3
2029	32	MLB MLE	SF	52	0	54	228	44	15	7	0%	1.0	19.3%	6.5%	12.8%	3.1%	4.25	4.37	+0.1
2028	31	MLB CTX	SF	21	0	22	93	19	6	3	0%	1.0	20.1%	6.1%	14.0%	2.8%	4.08	4.11	+0.1
2029	32	MLB CTX	SF	29	0	30	127	24	8	4	0%	1.0	19.3%	6.5%	12.8%	3.1%	4.25	4.37	+0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		142	1	201	881	188	53	24	1%	1.4	21.3%	6.0%	15.3%	2.8%	4.87	3.58	+2.3
/ 200 IP	—	RAW		141	1	200	876	187	53	24	1%	1.4	21.3%	6.0%	15.3%	2.8%	4.87	3.58	+2.3
Career	—	MLE		232	94	675	2972	534	221	74	41%	2.9	18.0%	7.4%	10.5%	2.5%	4.46	3.89	+2.3
/ 200 IP	—	MLE		69	28	200	880	158	65	22	41%	2.9	18.0%	7.4%	10.5%	2.5%	4.46	3.89	+1.7

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
Sean Hjelle (OGILVIE)	—	—	3.88	20.8%	5.8%	2.6%	—	4.23	19.7%	13.4%	113	+0.35	—	—	—
Tiago Da Silva R 2015 · 3.10 FIP	30	SW	3.10	19.6%	4.5%	2.0%	.278	2.38	21.4%	18.5%	98	-0.72	2.21	287	76
Josh A. Smith R 2018 · 2.91 FIP	30	SP-	2.91	21.7%	5.2%	1.8%	.337	4.28	19.5%	12.2%	157	+1.37	2.91	598	71
Jose Contreras R 2003 · 3.03 FIP	31	SP-	3.03	24.6%	9.9%	1.4%	.255	4.30	17.9%	9.5%	571	+1.27	2.43	1,279	68
Ross Ohlendorf R 2013 · 4.01 FIP	30	SW	4.01	18.2%	5.3%	3.2%	.265	4.18	23.5%	14.4%	122	+0.17	3.30	617	68
Yoanner Negrin R 2015 · 3.79 FIP	31	SW	3.79	15.1%	7.5%	1.9%	.256	3.29	15.0%	8.5%	270	-0.50	3.15	485	67
Ryan Jensen R 2005 · 4.35 FIP	29	SW	4.35	15.7%	5.2%	3.5%	.310	—	—	—	—	—	4.35	253	65
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	64
Brian Sweeney R 2004 · 3.03 FIP	30	SW	3.03	15.9%	3.2%	1.6%	.380	4.26	9.7%	5.1%	56	+1.23	3.03	108	64
Michael Brady R 2017 · 4.02 FIP	30	SW	4.02	19.9%	3.0%	4.0%	.264	3.28	15.7%	12.0%	55	-0.74	3.02	333	63
Rodolfo Aguirre R 2015 · 4.29 FIP	30	SW	4.29	12.4%	6.9%	2.5%	.288	4.81	11.4%	1.3%	125	+0.52	3.39	212	63
Casey Lawrence R 2018 · 3.77 FIP	30	SP-	3.77	18.1%	4.4%	3.0%	.305	4.08	20.0%	14.8%	86	+0.31	3.57	1,374	63
Jorge Martinez R 2016 · 3.53 FIP	31	SP-	3.53	12.9%	5.3%	1.6%	.266	3.71	16.5%	11.5%	154	+0.18	3.53	214	62
Mike Burns R 2009 · 4.90 FIP	31	SP-	4.90	17.2%	6.6%	4.4%	.307	—	—	—	—	—	3.10	104	62
Jake Brigham R 2015 · 3.09 FIP	27	SW	3.09	15.0%	6.5%	0.8%	.318	—	—	—	—	—	3.09	108	62
Todd Redmond R 2015 · 3.86 FIP	30	SW	3.86	15.4%	7.1%	2.1%	.311	—	—	—	—	—	3.21	247	62
Carlos Torres R 2013 · 4.22 FIP	30	SW	4.22	21.3%	4.5%	4.3%	.260	3.46	22.5%	15.1%	237	-0.76	2.89	604	62
Eder Llamas R 2016 · 4.12 FIP	30	SW	4.12	11.4%	6.8%	2.0%	.301	3.23	11.3%	4.6%	64	-0.89	3.23	171	61
Felipe Arredondo R 2017 · 4.76 FIP	30	SW	4.76	14.8%	7.3%	3.6%	.311	4.65	16.2%	9.1%	64	-0.11	3.92	337	61
Spencer Bivens R 2024 · 4.07 FIP	30	SU	4.07	18.0%	5.8%	3.2%	.265	3.88	18.2%	10.9%	157	-0.19	3.52	391	60
Chris Jakubauskas R 2009 · 4.97 FIP	30	SW	4.97	12.1%	6.2%	3.9%	.250	4.42	15.7%	7.8%	72	-0.55	4.42	165	60

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	54	20.9%	6.3%	1.07	4.57
Bobby Tiefenauer ('52-'68, 0 WAR*)	1.6	63	20.4%*	6.7%*	1.10*	4.53*
Mike Morin ('20)	1.1	46	20.3%	6.3%	0.83	4.57
J. C. Gutierrez ('07-'14, -0 WAR*)	1.4	57	19.8%*	8.5%*	1.19*	4.72*
Juan Gutierrez ('14)	1.4	57	19.4%	8.4%	1.04	4.49
Tom Gorman ('81-'87, 0 WAR*)	1.1	71	21.5%*	7.2%*	1.19*	5.12*
Steve Kealey ('68-'73, -1 WAR*)	1.1	54	18.5%*	7.2%*	1.32*	5.26*