Blake Treinen — OGILVIE

Blake Treinen P Los Angeles Dodgers

Age 38 RHP 6'5" / 225 lbs MLB peak 0.4 · 2026

2026 ROS PROJECTION32 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 9991vR 83

ERA3.35

FIP3.45

K%27.5%

BB%8.9%

K-BB%18.6%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 37 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL4545

CMD6060

K†6565

Statcast Percentiles

FB Velo

p5294.7

Whiff%

p5225.6%

p6424.8%

xwOBA vs

p260.340

CT (10%)

SI (36%)

FB-0.6 (49%)

SL-1.0 (41%)

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 + 2026 so far)
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 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
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			548	0	552	2285	594	194	44	0%	1.0	26.0%	8.5%	17.5%	1.9%	2.97	3.04	+10.0
▸ 2026 season
YTD	38	MLB MLE	Los Angeles Dodgers	39	0	32	138	36	11	2	0%	0.8	24.8%	8.0%	16.8%	1.7%	2.78	2.95	+0.6
YTD	38	MLB MLE	Los Angeles Dodgers	39	0	32	138	36	11	2	0%	0.8	24.8%	8.0%	16.8%	1.7%	2.78	2.95	+0.6
▸ 2026 season — so far · projected rest · full
2026	38	A RAW	LAD	1	0	1	3	2	0	0	0%	1.0	66.7%	0.0%	66.7%	0.0%	0.00	-2.53	—
2026	38	AAA RAW	LAD	6	0	5	22	6	2	0	0%	0.9	27.3%	9.1%	18.2%	0.0%	0.00	1.95	—
2026	38	MLB RAW	LAD	32	0	26	113	28	9	2	0%	0.8	24.8%	8.0%	16.8%	1.8%	3.46	2.99	+0.5
SO FAR	38	MLB RAW	LAD	32	0	26	113	28	9	2	0%	0.8	24.8%	8.0%	16.8%	1.8%	3.46	2.99	+0.5
ROS	38	MLB MLE	LAD	4	0	4	19	5	2	1	0%	1.1	27.5%	8.9%	18.6%	2.8%	3.35	3.45	+0.1
ROS	38	MLB CTX	LAD	4	0	4	17	5	2	0	0%	1.0	27.5%	8.9%	18.6%	2.8%	3.35	3.45	+0.1
2026 TOT	38	MLB MLE	LAD	—	—	37	157	41	13	3	—	—	26.3%	8.1%	18.2%	1.6%	2.85	3.01	+0.7
FULL	38	MLB A+C	LAD	—	—	30	128	41	13	3	—	—	32.0%	9.9%	22.2%	2.0%	3.45	2.72	+0.6
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	39	MLB MLE	LAD	40	0	42	177	47	17	6	0%	1.0	26.7%	9.6%	17.1%	3.1%	3.94	4.16	+0.2
2027	39	MLB CTX	LAD	40	0	42	177	47	17	6	0%	1.1	26.7%	9.6%	17.1%	3.1%	3.94	4.16	+0.2
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		592	0	598	2481	646	213	50	0%	1.0	26.1%	8.6%	17.5%	2.0%	3.04	3.09	+10.4
/ 200 IP	—	RAW		198	0	200	830	216	71	17	0%	1.0	26.1%	8.6%	17.5%	2.0%	3.04	3.09	+3.5
Career	—	MLE		584	3	592	2447	636	206	48	1%	1.0	26.0%	8.4%	17.6%	1.9%	3.00	3.04	+10.2
/ 200 IP	—	MLE		197	1	200	827	215	70	16	1%	1.0	26.0%	8.4%	17.6%	1.9%	3.00	3.04	+3.4

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
Blake Treinen (OGILVIE)	—	—	3.78	29.0%	9.2%	2.9%	—	4.16	26.7%	17.1%	42	+0.38	—	—	—
Joaquín Benoit R 2015 · 3.58 FIP	38	SU	3.58	24.8%	8.7%	2.7%	.179	4.11	23.5%	12.9%	98	+0.53	3.58	164	79
Ryan Madson R 2018 · 3.49 FIP	37	SU	3.49	23.4%	6.1%	2.9%	.327	—	—	—	—	—	1.42	240	77
Fernando Rodney R 2015 · 4.37 FIP	38	SU	4.37	20.9%	9.4%	3.4%	.272	3.37	26.2%	15.2%	185	-1.00	2.69	295	75
Manny Acosta R 2019 · 3.08 FIP	38	SU	3.08	23.2%	13.3%	0.5%	.303	—	—	—	—	—	3.08	102	68
Peter Moylan R 2017 · 3.63 FIP	38	SU	3.63	18.9%	9.1%	1.8%	.211	4.77	17.8%	6.2%	28	+1.14	3.11	174	63
Ervin Santana R 2021 · 4.40 FIP	38	SU	4.40	18.8%	7.6%	3.5%	.287	—	—	—	—	—	3.67	720	59
Rudy Gonzalez R 2017 · 4.72 FIP	36	SU	4.72	15.8%	7.1%	3.8%	.354	—	—	—	—	—	3.31	119	58
Joe Blanton R 2017 · 4.94 FIP	36	SU	4.94	20.0%	5.6%	5.1%	.319	—	—	—	—	—	3.01	240	58
Zack Segovia R 2019 · 4.55 FIP	36	SU	4.55	17.6%	13.6%	2.2%	.353	—	—	—	—	—	3.33	144	56
Matt Belisle R 2018 · 4.60 FIP	38	SU	4.60	15.4%	6.2%	3.7%	.355	—	—	—	—	—	2.51	174	53
Ronald Belisario R 2019 · 4.16 FIP	36	SU	4.16	12.7%	3.9%	3.0%	.322	—	—	—	—	—	2.10	126	51
Santiago Casilla R 2018 · 4.14 FIP	38	SU	4.14	16.8%	15.2%	1.0%	.248	—	—	—	—	—	3.50	219	50
Daniel Bard R 2023 · 4.95 FIP	38	SU	4.95	20.3%	19.8%	1.9%	.224	—	—	—	—	—	2.56	200	48
Erubiel Gonzalez R 2017 · 3.51 FIP	38	SU	3.51	13.3%	2.5%	2.2%	.388	—	—	—	—	—	2.99	119	48
Hector Navarro R 2017 · 3.53 FIP	37	SU	3.53	11.5%	5.6%	1.3%	.283	—	—	—	—	—	2.30	126	45
Chien-Ming Wang R 2016 · 4.53 FIP	36	SU	4.53	13.0%	7.8%	2.8%	.305	—	—	—	—	—	4.23	183	45
Luis Ayala R 2016 · 3.03 FIP	38	SU	3.03	10.9%	4.5%	0.5%	.320	4.00	15.9%	4.2%	14	+0.97	3.03	119	41
Brad Ziegler R 2018 · 4.03 FIP	38	SU	4.03	16.4%	6.2%	2.8%	.276	—	—	—	—	—	2.63	257	40
Tony Pena Jr. R 2017 · 3.43 FIP	36	SU	3.43	10.9%	4.3%	1.3%	.312	—	—	—	—	—	2.80	128	40
Neal Cotts L 2017 · 3.21 FIP	37	SU	3.21	25.5%	8.0%	2.3%	.273	—	—	—	—	—	3.21	156	40

Career Comps

Retired MLB careers whose totals most resemble what we're projecting for this player. Pool: 133 completed pitcher careers (2015-2024).

Player	162s	IP/yr	K%	BB%	HR/9	ERA
OGILVIE CAREER PROJECTION	0.5	45	27.9%	9.4%	1.16	3.80
Colin Poche ('24)	1.0	52	27.0%	9.2%	1.34	3.63
Diego Castillo ('22)	1.3	52	28.1%	8.9%	1.07	3.12
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Keone Kela ('19)	1.1	43	30.1%	9.4%	0.92	3.23
Blake Parker ('21)	1.2	60	26.6%	7.3%	1.40	3.36
Ryan Buchter ('19)	1.1	53	26.7%	10.8%	1.10	2.87