Seth Halvorsen

P Los Angeles Dodgers

Age 27 RHP 6'2" / 243 lbs MLB

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	24	MIX3 levels	53	57	3.81	3.08	28.5%	9.9%	1.0	K 21.0% · BB 12.5% · FIP 3.82
2025	25	MLBCOL	42	40	4.99	5.09	20.8%	11.6%	-0.3
2026	26	MIX2 levels	58	56	3.67	3.92	23.7%	9.9%	0.4	K 21.7% · BB 9.5% · FIP 3.96
2027PROJ	27	MLBLAD	56	59	4.68	4.52	24.4%	10.8%	0.0
2028PROJ88% MLB	28	MLBLAD	39	41	4.62	4.59	24.1%	10.8%	-0.0
2029PROJ90% MLB	29	MLBLAD	30	31	4.68	4.73	23.5%	10.9%	-0.1

Last 3 seasons WAR 1.2 · Next 3 projected WAR -0.1Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

FB Velo90

K%10

xwOBA vs10

CompsShintaro Fujinami (age 29) · Jason Adam (age 27) · Tyler Bashlor (age 26)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 119111vR 103

ERA4.68

FIP4.52

K%24.4%

BB%10.8%

K-BB%13.5%

Proj IP70

Value2027 · WAR

Runs saved vs league avg · 70 IP

Statcast · Contract

Statcast Percentiles

FB Velo

p9098.9

Whiff%

p1921.0%

p1016.3%

xwOBA vs

p100.375

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)
2023	23	MIX MLE	3 levels	13	0	13	55	13	4	2	0%	1.0	23.6%	7.3%	16.4%	3.6%	2.70	4.02	—
2023	23	MIX RAW	3 levels	13	0	13	55	13	4	2	0%	1.0	23.6%	7.3%	16.4%	3.6%	2.70	4.00	—
2024	24	MIX MLE	3 levels	53	0	57	242	69	24	5	0%	1.1	21.0%	12.5%	8.5%	1.7%	3.81	3.82	+0.5
2024	24	MIX MLE	3 levels	53	0	57	242	69	24	5	0%	1.1	21.0%	12.5%	8.5%	1.7%	3.81	3.82	+0.5
2024	24	MIX RAW	3 levels	53	0	57	242	69	24	5	0%	1.1	28.5%	9.9%	18.6%	2.1%	3.81	3.08	+1.0
2025	25	MLB MLE	Colorado Rockies	42	0	40	173	36	20	7	0%	0.9	20.8%	11.6%	9.2%	3.6%	4.99	4.78	-0.1
2025	25	MLB MLE	Colorado Rockies	42	0	40	173	36	20	7	0%	0.9	20.8%	11.6%	9.2%	3.6%	4.99	4.78	-0.1
2025	25	MLB RAW	Colorado Rockies	42	0	40	173	36	20	7	0%	0.9	20.8%	11.6%	9.2%	4.0%	4.99	5.09	-0.3
2026	26	MIX MLE	2 levels	58	0	56	253	60	25	7	0%	1.0	21.7%	9.5%	12.2%	2.7%	3.67	3.96	+0.4
2026	26	MIX MLE	2 levels	58	0	56	253	60	25	7	0%	1.0	21.7%	9.5%	12.2%	2.7%	3.67	3.96	+0.4
2026	26	MIX RAW	2 levels	58	0	56	253	60	25	7	0%	1.0	23.7%	9.9%	13.8%	2.8%	3.67	3.92	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			86	0	81	360	72	37	15	0%	0.9	20.0%	10.3%	9.7%	4.2%	4.78	5.10	-0.5
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	27	MLB	LAD	56	0	59	249	61	27	8	0%	1.1	24.4%	10.8%	13.5%	3.1%	4.68	4.52	+0.0
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	28	MLB MLE	LAD	45	0	47	198	48	21	6	0%	1.0	24.1%	10.8%	13.3%	3.2%	4.62	4.59	-0.0
2029	29	MLB MLE	LAD	32	0	34	143	34	16	5	0%	1.1	23.5%	10.9%	12.6%	3.4%	4.68	4.73	-0.1
2030	30	MLB MLE	LAD	24	0	25	107	24	12	4	0%	1.1	22.8%	11.2%	11.7%	3.5%	4.81	4.91	-0.1
2028	28	MLB CTX	LAD	39	0	41	173	42	19	6	0%	1.1	24.1%	10.8%	13.3%	3.2%	4.62	4.59	-0.0
2029	29	MLB CTX	LAD	30	0	31	131	31	14	4	0%	1.0	23.5%	10.9%	12.6%	3.4%	4.68	4.73	-0.1
2030	30	MLB CTX	LAD	22	0	23	97	22	11	3	0%	1.0	22.8%	11.2%	11.7%	3.5%	4.81	4.91	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		177	0	176	763	167	81	29	0%	1.0	21.9%	10.6%	11.3%	3.7%	4.73	4.65	-0.2
/ 200 IP	—	RAW		201	0	200	865	189	92	33	0%	1.0	21.9%	10.6%	11.3%	3.7%	4.73	4.65	-0.2
Career	—	MLE		166	0	166	723	155	78	19	0%	1.0	21.4%	10.8%	10.6%	2.6%	3.96	4.11	-0.7
/ 200 IP	—	MLE		200	0	200	871	186	94	23	0%	1.0	21.4%	10.8%	10.6%	2.6%	3.96	4.11	-0.8

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 AAAOklahoma City Comets · 27 IPFIP 1.93 → 2.26 (+0.33)K% 33.0% → 28.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	33.04%	—	×0.860	28.41%
BB% (unintentional) /BF	8.93%	—	×0.900	8.04%
HR / BF /BF	0.89%	÷1.000	×1.100	0.98%

Factors used: pitcher AAA level factors (Triple-A 2023+ robo-zone set: walks improve on promotion) — K ×0.86, BB ×0.90, HR ×1.10. 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 1.93 → 2.26, 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 AAHartford Yard Goats · 35 IPFIP 3.05 → 3.82 (+0.78)K% 25.9% → 21.0%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	25.95%	—	×0.810	21.02%
BB% (unintentional) /BF	11.39%	—	×1.100	12.53%
HR / BF /BF	1.27%	÷0.916	×1.200	1.66%

Factors used: pitcher AA level factors — K ×0.81, BB ×1.10, HR ×1.20. Pitcher translation is level-wide (no per-league rows, no age adjustment); HR/BF is park-adjusted at half strength (park HR factor 83).

Result: FIP 3.05 → 3.82, 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 AAAAlbuquerque Isotopes · 9 IPFIP 2.54 → 2.88 (+0.34)K% 39.5% → 33.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	39.47%	—	×0.860	33.95%
BB% (unintentional) /BF	10.53%	—	×0.900	9.47%
HR / BF /BF	2.63%	÷1.096	×1.100	2.64%

Result: FIP 2.54 → 2.88, 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 AAHartford Yard Goats · 6 IPFIP 5.21 → 6.05 (+0.84)K% 20.8% → 16.9%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	20.83%	—	×0.810	16.88%
BB% (unintentional) /BF	12.50%	—	×1.100	13.75%
HR / BF /BF	4.17%	÷1.040	×1.200	4.81%

Result: FIP 5.21 → 6.05, 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 A+Spokane Indians · 5 IPFIP 4.31 → 5.37 (+1.06)K% 23.8% → 18.3%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	23.81%	—	×0.770	18.33%
BB% (unintentional) /BF	4.76%	—	×1.150	5.48%
HR / BF /BF	4.76%	÷1.047	×1.250	5.69%

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 109).

Result: FIP 4.31 → 5.37, 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
Seth Halvorsen (OGILVIE)	—	—	—	—	—	3.1%	—	4.71	23.6%	12.7%	106	+0.19	—	—	—
Shintaro Fujinami R 2023 · 4.09 FIP	29	SU	4.09	23.2%	12.3%	2.5%	.290	4.49	22.0%	0.2%	51	+0.40	4.09	130	76
Jason Adam R 2019 · 3.39 FIP	27	SU	3.39	24.2%	9.0%	2.2%	.237	2.64	33.1%	24.9%	88	-0.75	2.42	396	72
Tyler Bashlor R 2019 · 4.88 FIP	26	SU	4.88	20.7%	11.7%	3.7%	.258	4.10	23.7%	13.0%	38	-0.78	2.55	253	71
Tyler Kinley R 2018 · 3.36 FIP	27	SU	3.36	27.2%	11.8%	1.9%	.331	4.14	23.5%	11.8%	159	+0.78	1.58	602	71
Juan Minaya R 2018 · 3.40 FIP	27	SU	3.40	27.0%	11.4%	2.1%	.282	3.82	24.0%	13.2%	131	+0.42	3.20	446	70
Alan Busenitz R 2018 · 4.37 FIP	27	SU	4.37	23.2%	7.5%	4.1%	.322	—	—	—	—	—	2.92	436	70
Brian Ellington R 2017 · 4.75 FIP	26	SU	4.75	25.5%	14.9%	3.5%	.283	5.61	22.4%	5.3%	29	+0.86	2.75	233	70
José A. Váldez R 2017 · 4.39 FIP	27	SU	4.39	21.6%	8.3%	3.8%	.325	4.15	18.8%	6.4%	153	-0.24	4.02	328	69
José Ramírez R 2017 · 4.56 FIP	27	SU	4.56	21.7%	10.9%	3.5%	.218	—	—	—	—	—	3.36	206	69
Marcos Mateo R 2011 · 3.40 FIP	27	SU	3.40	25.5%	10.2%	2.1%	.361	—	—	—	—	—	3.12	104	69
Hansel Robles R 2018 · 4.30 FIP	27	SU	4.30	24.4%	9.9%	3.6%	.293	3.48	25.9%	17.2%	158	-0.82	2.67	469	69
Jimmy Cordero R 2019 · 3.60 FIP	27	SU	3.60	20.8%	7.8%	2.3%	.256	2.84	23.8%	16.4%	65	-0.76	2.59	365	68
Jason Motte R 2009 · 4.62 FIP	27	SU	4.62	22.1%	9.0%	4.1%	.297	2.84	26.9%	21.0%	192	-1.78	2.22	387	68
Joe Colón J R 2017 · 4.25 FIP	27	SU	4.25	20.4%	12.1%	2.4%	.315	—	—	—	—	—	3.27	113	68
Branden Kline R 2019 · 5.37 FIP	27	SU	5.37	20.3%	11.5%	4.6%	.326	—	—	—	—	—	2.85	167	68
Javy Guerra R 2023 · 4.44 FIP	27	SU	4.44	18.2%	12.7%	2.3%	.256	5.14	17.2%	4.1%	37	+0.70	3.33	183	68
Fernando Rodriguez Jr. R 2011 · 3.85 FIP	27	SU	3.85	24.7%	10.8%	2.7%	.315	3.90	25.2%	16.5%	70	+0.05	3.34	335	68
Austin Adams R 2015 · 3.51 FIP	28	SU	3.51	18.6%	9.5%	1.4%	.331	3.40	21.1%	15.0%	56	-0.11	3.40	162	67
Nick Robertson R 2024 · 4.41 FIP	26	SU	4.41	20.3%	9.9%	3.2%	.342	3.80	23.4%	13.4%	108	-0.61	3.08	337	67
Arquimedes Caminero R 2013 · 4.10 FIP	26	SU	4.10	23.1%	5.8%	4.0%	.229	3.95	20.7%	10.9%	135	-0.15	3.54	186	67

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	1.3	43	22.7%	11.0%	1.38	4.71
Valerio De Los Santos ('08)	1.3	51	18.7%	11.5%	1.30	4.57
Scott Service ('04)	2.1	46	22.2%	9.9%	1.23	5.04
Sam Long ('25)	1.1	42	19.5%	9.7%	1.28	4.65
Fred Lasher ('63-'71, -1 WAR*)	1.0	50	21.5%*	11.9%*	1.05*	4.68*
Ed Glynn ('75-'85, -0 WAR*)	1.3	53	23.5%*	12.9%*	1.22*	4.69*
Bill Wilson ('69-'73, -0 WAR*)	1.3	52	20.3%*	11.5%*	1.13*	4.84*