Blake Treinen

P Los Angeles Dodgers

Age 39 RHP 6'5" / 225 lbs MLB peak 0.3 · 2027

Overview

MLBRP40-MAN

Year	Age	Lvl / Team	G	GS	IP	ERA	FIP	K%	BB%	WAR	MLE rates
2024	36	MIX3 levels	56	1	52	2.60	2.48	31.4%	5.3%	1.3	K 30.4% · BB 6.0% · FIP 2.72
2025	37	MIX3 levels	39	1	34	4.54	3.72	30.1%	10.5%	0.3	K 27.9% · BB 11.6% · FIP 3.85
2026	38	MIX3 levels	43	0	36	3.00	3.10	25.2%	8.4%	0.6	K 23.8% · BB 8.5% · FIP 3.37
2027PROJ	39	MLBLAD	49	0	51	3.86	3.97	25.9%	9.0%	0.4
2028PROJ	40	MLBLAD	22	0	23	4.18	4.40	24.7%	9.7%	0.0

Last 3 seasons WAR 2.2 · Next 2 projected WAR 0.4Projected rows: MLB playing time only, park and league context applied.

Contract

No contract data on file.

Skills · percentileStatcast 2026

K%59

FB Velo54

xwOBA vs24

CompsTakashi Saito (age 39) · Keiichi Yabu (age 39) · Gaudencio Aguirre (age 42)

2027 FULL-SEASON PROJECTIONrates below = full-season projection

showingPROJ

wRC+ AGAINSTvL 109101vR 92

ERA3.86

FIP3.97

K%25.9%

BB%9.0%

K-BB%16.9%

Proj IP51

Value2027 · WAR

Runs saved vs league avg · 51 IP

Grades · Statcast · Contract

Scouting Grades

STUF5050

CTRL4545

CMD6060

K†6060

Statcast Percentiles

FB Velo

p5494.8

Whiff%

p4724.9%

p5923.8%

xwOBA vs

p240.343

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)
2014	26	MLB MLE	Washington Nationals	15	7	51	214	30	12	1	47%	3.4	14.0%	5.6%	8.4%	0.5%	2.49	2.88	+1.0
2014	26	MLB RAW	Washington Nationals	15	7	51	214	30	12	1	47%	3.4	14.0%	5.6%	8.4%	0.5%	2.49	2.88	+1.0
2015	27	MIX MLE	2 levels	65	0	80	323	79	27	4	0%	1.2	23.2%	9.3%	13.9%	1.4%	3.28	3.10	+1.4
2015	27	MIX RAW	2 levels	65	0	80	323	79	27	4	0%	1.2	24.5%	8.4%	16.1%	1.2%	3.28	2.79	+1.7
2016	28	MLB MLE	Washington Nationals	73	0	67	263	63	25	5	0%	0.9	24.0%	9.5%	14.4%	1.9%	2.28	3.32	+1.0
2016	28	MLB RAW	Washington Nationals	73	0	67	263	63	25	5	0%	0.9	24.0%	9.5%	14.4%	1.9%	2.28	3.31	+1.0
2017	29	MLB MLE	Oakland Athletics	72	0	76	325	74	22	6	0%	1.1	22.8%	6.8%	16.0%	2.0%	3.93	3.15	+1.3
2017	29	MLB RAW	Oakland Athletics	72	0	76	325	74	22	6	0%	1.1	22.8%	6.8%	16.0%	1.8%	3.93	3.05	+1.4
2018	30	MLB MLE	Oakland Athletics	68	0	80	315	100	18	2	0%	1.2	31.7%	5.7%	26.0%	0.7%	0.78	1.53	+2.9
2018	30	MLB RAW	Oakland Athletics	68	0	80	315	100	18	2	0%	1.2	31.7%	5.7%	26.0%	0.6%	0.78	1.61	+2.9
2019	31	MIX MLE	2 levels	58	0	60	272	59	36	11	0%	1.0	22.2%	13.5%	8.6%	3.7%	5.28	4.98	-0.3
2019	31	MIX RAW	2 levels	58	0	60	272	59	36	11	0%	1.0	21.7%	13.2%	8.5%	4.0%	5.28	5.33	-0.5
2020	32	MLB MLE	Los Angeles Dodgers	27	0	26	107	22	7	1	0%	1.0	20.6%	6.5%	14.0%	0.9%	3.86	2.68	+0.6
2020	32	MLB RAW	Los Angeles Dodgers	27	0	26	107	22	7	1	0%	1.0	20.6%	6.5%	14.0%	0.9%	3.86	2.71	+0.6
2021	33	MLB MLE	Los Angeles Dodgers	72	0	72	286	85	24	5	0%	1.0	29.7%	8.4%	21.3%	1.7%	1.99	2.57	+1.7
2021	33	MLB RAW	Los Angeles Dodgers	72	0	72	286	85	24	5	0%	1.0	29.7%	8.4%	21.3%	1.7%	1.99	2.64	+1.7
2022	34	MIX MLE	2 levels	12	0	11	47	15	1	1	0%	0.9	31.9%	2.1%	29.8%	2.1%	3.27	1.84	+0.4
2022	34	MIX RAW	2 levels	12	0	11	47	15	1	1	0%	0.9	31.9%	2.1%	29.8%	2.1%	3.27	1.83	+0.4
2023	35	MIX MLE	2 levels	3	1	2	11	2	1	0	33%	0.8	18.2%	9.1%	9.1%	0.0%	11.57	2.72	—
2023	35	MIX RAW	2 levels	3	1	2	11	2	1	0	33%	0.8	18.2%	9.1%	9.1%	0.0%	11.57	2.67	—
2024	36	MIX MLE	3 levels	56	1	52	207	65	11	5	2%	0.9	30.4%	6.0%	24.5%	2.6%	2.60	2.72	+1.1
2024	36	MIX MLE	3 levels	56	1	52	207	65	11	5	2%	0.9	30.4%	6.0%	24.5%	2.6%	2.60	2.72	+1.1
2024	36	MIX RAW	3 levels	56	1	52	207	65	11	5	2%	0.9	31.4%	5.3%	26.1%	2.4%	2.60	2.48	+1.3
2025	37	MIX MLE	3 levels	39	1	34	153	46	16	5	3%	0.9	27.9%	11.6%	16.3%	3.0%	4.54	3.85	+0.3
2025	37	MIX MLE	3 levels	39	1	34	153	46	16	5	3%	0.9	27.9%	11.6%	16.3%	3.0%	4.54	3.85	+0.3
2025	37	MIX RAW	3 levels	39	1	34	153	46	16	5	3%	0.9	30.1%	10.5%	19.6%	3.3%	4.54	3.72	+0.3
2026	38	MIX MLE	3 levels	43	0	36	155	39	13	3	0%	0.8	23.8%	8.5%	15.4%	2.2%	3.00	3.37	+0.5
2026	38	MIX MLE	3 levels	43	0	36	155	39	13	3	0%	0.8	23.8%	8.5%	15.4%	2.2%	3.00	3.37	+0.5
2026	38	MIX RAW	3 levels	43	0	36	155	39	13	3	0%	0.8	25.2%	8.4%	16.8%	1.9%	3.00	3.10	+0.6
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			567	7	606	2516	627	208	46	1%	1.1	24.9%	8.3%	16.7%	1.8%	2.94	3.05	+10.9
▸ 2027 season — projected remainder (no 2027 stats recorded)
2027	39	MLB	LAD	49	0	51	215	56	19	6	0%	1.0	25.9%	9.0%	16.9%	2.8%	3.86	3.97	+0.4
▸ Career projection (2028+) — MLB context, MLB playing time (IP × MLB%)
2028	40	MLB MLE	LAD	22	0	23	98	24	9	3	0%	1.1	24.7%	9.7%	15.0%	3.2%	4.18	4.40	+0.0
2028	40	MLB CTX	LAD	22	0	23	97	24	9	3	0%	1.0	24.7%	9.7%	15.0%	3.2%	4.18	4.40	+0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		589	7	629	2614	651	217	49	1%	1.1	24.9%	8.3%	16.6%	1.9%	2.99	3.08	+11.0
/ 200 IP	—	RAW		187	2	200	831	207	69	16	1%	1.1	24.9%	8.3%	16.6%	1.9%	2.99	3.08	+3.5
Career	—	MLE		603	10	646	2678	669	220	50	2%	1.1	25.0%	8.2%	16.8%	1.9%	2.97	3.05	+10.9
/ 200 IP	—	MLE		187	3	200	829	207	68	15	2%	1.1	25.0%	8.2%	16.8%	1.9%	2.97	3.05	+3.5

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 · 5 IPFIP 1.95 → 2.16 (+0.21)K% 27.3% → 23.5%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	27.27%	—	×0.860	23.45%
BB% (unintentional) /BF	9.09%	—	×0.900	8.18%
HR / BF /BF	0.00%	÷1.000	×1.100	0.00%

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 1.95 → 2.16, 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).

2025 AAAOklahoma City Comets · 6 IPFIP -0.07 → 0.40 (+0.47)K% 45.0% → 38.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	45.00%	—	×0.860	38.70%
BB% (unintentional) /BF	5.00%	—	×0.900	4.50%
HR / BF /BF	0.00%	÷0.956	×1.100	0.00%

Result: FIP -0.07 → 0.40, 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 AAAOklahoma City Baseball Club · 4 IPFIP 0.57 → 0.92 (+0.35)K% 30.0% → 25.8%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.860	25.80%
BB% (unintentional) /BF	0.00%	—	×0.900	0.00%
HR / BF /BF	0.00%	÷0.896	×1.100	0.00%

Result: FIP 0.57 → 0.92, 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).

2022 AAAOklahoma City Dodgers · 6 IPFIP 0.57 → 0.87 (+0.30)K% 30.0% → 26.4%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	30.00%	—	×0.880	26.40%
BB% (unintentional) /BF	0.00%	—	×1.050	0.00%
HR / BF /BF	0.00%	÷0.997	×1.100	0.00%

Factors used: pitcher AAA level factors — K ×0.88, BB ×1.05, 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 99).

Result: FIP 0.57 → 0.87, 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).

2015 AAASyracuse Chiefs · 12 IPFIP 0.65 → 0.99 (+0.34)K% 32.6% → 28.7%

Component	Raw	Park ÷	Level factor ×	= MLE
K% /BF	32.56%	—	×0.880	28.65%
BB% (unintentional) /BF	2.33%	—	×1.050	2.44%
HR / BF /BF	0.00%	÷1.183	×1.100	0.00%

Result: FIP 0.65 → 0.99, 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).

	Profile at Match Age	Next 3 Yrs	Career
Blake Treinen (OGILVIE)	—	—	3.97	25.9%	9.0%	2.8%	—	4.40	24.7%	15.0%	23	+0.43	—	—	—
Takashi Saito R 2009 · 3.86 FIP	39	SU	3.86	21.7%	9.6%	2.5%	.277	3.07	26.7%	20.0%	93	-0.79	1.50	338	80
Keiichi Yabu R 2008 · 3.48 FIP	39	SU	3.48	15.9%	9.3%	1.0%	.269	—	—	—	—	—	3.48	126	62
Gaudencio Aguirre R 2015 · 3.25 FIP	42	SU	3.25	14.8%	8.6%	0.6%	.293	3.88	14.9%	6.8%	75	+0.63	3.25	123	58
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	52
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	50
Koji Uehara R 2014 · 3.05 FIP	39	SU	3.05	32.1%	3.2%	4.1%	.272	3.11	30.7%	25.5%	130	+0.06	1.28	481	47
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	39
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	28

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	3.4	52	25.0%	9.4%	0.76	3.05
Steve Cishek ('22)	3.6	59	24.8%	9.6%	0.68	2.98
Matt Thornton ('16)	3.3	55	22.9%	9.0%	0.71	3.41
J.J. Putz ('14)	2.8	57	25.7%	7.9%	0.79	3.08
Dave Smith ('80-'92, 13 WAR*)	4.0	67	21.9%*	8.5%*	0.61*	3.27*
Mike Henneman ('87-'96, 13 WAR*)	3.7	73	22.6%*	8.3%*	0.70*	3.25*
Jay Howell ('80-'94, 14 WAR*)	4.2	60	25.4%*	8.2%*	0.80*	3.74*

			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
Blake Treinen (OGILVIE)	—	—	3.97	25.9%	9.0%	2.8%	—	4.40	24.7%	15.0%	23	+0.43	—	—	—
Takashi Saito R 2009 · 3.86 FIP	39	SU	3.86	21.7%	9.6%	2.5%	.277	3.07	26.7%	20.0%	93	-0.79	1.50	338	80
Keiichi Yabu R 2008 · 3.48 FIP	39	SU	3.48	15.9%	9.3%	1.0%	.269	—	—	—	—	—	3.48	126	62
Gaudencio Aguirre R 2015 · 3.25 FIP	42	SU	3.25	14.8%	8.6%	0.6%	.293	3.88	14.9%	6.8%	75	+0.63	3.25	123	58
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	52
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	50
Koji Uehara R 2014 · 3.05 FIP	39	SU	3.05	32.1%	3.2%	4.1%	.272	3.11	30.7%	25.5%	130	+0.06	1.28	481	47
Hisanori Takahashi L 2012 · 4.04 FIP	37	SU	4.04	24.5%	6.1%	4.1%	.295	—	—	—	—	—	3.50	240	39
Logan Duran R 2019 · 3.66 FIP	37	SP-	3.66	15.5%	8.9%	1.4%	.427	—	—	—	—	—	3.42	187	28

Blake Treinen

Contract

Career Stats + Projections

How the minor-league lines were translated

Career Path Comps

Career Comps