Jaime Barria — OGILVIE

Jaime Barria P Columbus Clippers

Age 30 RHP 6'1" / 210 lbs AAA

2026 ROS PROJECTION0 act + 6 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 124116vR 108

ERA4.60

FIP4.54

K%21.1%

BB%8.0%

K-BB%13.1%

ROS IP6

Value2026 · WAR

Runs saved vs league avg · 6 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

OFP—50

STUF6060

CTRL7070

CMD7070

K†5050

Statcast Percentiles

FB Velo

p2993.0

Whiff%

p3322.9%

p1517.1%

xwOBA vs

p160.352

SL+2.1

CH+1.2

FB-14.1

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	19	ROK MLE	Orem Owlz	15	14	69	298	61	10	4	93%	4.6	13.9%	4.2%	9.7%	1.9%	4.02	3.49	—
2015	19	ROK RAW	Orem Owlz	15	14	69	298	61	10	4	93%	4.6	20.5%	3.4%	17.1%	1.3%	4.02	2.52	—
2016	20	A MLE	Burlington Bees	25	25	117	501	78	21	6	100%	4.7	11.5%	4.9%	6.6%	1.2%	3.85	3.42	—
2016	20	A RAW	Burlington Bees	25	25	117	501	78	21	6	100%	4.7	15.6%	4.2%	11.4%	1.2%	3.85	2.97	—
2017	21	MIX MLE	3 levels	26	26	142	576	117	31	14	100%	5.4	16.2%	6.0%	10.2%	3.2%	2.80	4.22	—
2017	21	MIX RAW	3 levels	26	26	142	576	117	31	14	100%	5.4	20.3%	5.4%	14.9%	2.4%	2.80	3.39	—
2018	22	MIX MLE	2 levels	31	31	147	615	117	52	19	100%	4.8	18.7%	8.5%	10.2%	3.1%	3.42	4.29	+1.1
2018	22	MIX RAW	2 levels	31	31	147	615	117	52	19	100%	4.8	19.0%	8.5%	10.6%	3.1%	3.42	4.25	+1.1
2019	23	MIX MLE	2 levels	29	23	131	592	119	37	40	79%	4.5	19.2%	6.3%	12.9%	6.8%	7.63	6.00	-1.6
2019	23	MIX RAW	2 levels	29	23	131	592	119	37	40	79%	4.5	20.1%	6.2%	13.9%	6.8%	7.63	6.10	-1.7
2020	24	MLB MLE	Los Angeles Angels	7	5	32	132	27	8	3	71%	4.6	20.5%	6.1%	14.4%	2.2%	3.62	3.36	+0.6
2020	24	MLB RAW	Los Angeles Angels	7	5	32	132	27	8	3	71%	4.6	20.5%	6.1%	14.4%	2.3%	3.62	3.38	+0.6
2021	25	MIX MLE	2 levels	23	21	106	460	69	27	18	91%	4.6	14.1%	6.0%	8.2%	4.3%	4.51	5.05	-0.2
2021	25	MIX RAW	2 levels	23	21	106	460	69	27	18	91%	4.6	15.0%	5.9%	9.1%	3.9%	4.51	4.78	+0.2
2022	26	MLB MLE	Los Angeles Angels	35	1	79	316	54	19	11	3%	2.3	17.1%	6.0%	11.1%	3.4%	2.61	4.29	+0.2
2022	26	MLB RAW	Los Angeles Angels	35	1	79	316	54	19	11	3%	2.3	17.1%	6.0%	11.1%	3.5%	2.61	4.26	+0.3
2023	27	MLB MLE	Los Angeles Angels	34	6	82	362	62	24	20	18%	2.4	17.1%	6.6%	10.5%	5.4%	5.68	5.47	-0.9
2023	27	MLB MLE	Los Angeles Angels	34	6	82	362	62	24	20	18%	2.4	17.1%	6.6%	10.5%	5.4%	5.68	5.47	-0.9
2023	27	MLB RAW	Los Angeles Angels	34	6	82	362	62	24	20	18%	2.4	17.1%	6.6%	10.5%	5.5%	5.68	5.63	-1.0
2024	28	AAA MLE	Columbus Clippers	13	1	24	96	27	6	2	8%	1.9	23.3%	5.6%	17.7%	2.2%	4.81	3.03	—
2024	28	AAA MLE	Columbus Clippers	13	1	24	96	27	6	2	8%	1.9	23.3%	5.6%	17.7%	2.2%	4.81	3.03	—
2024	28	AAA RAW	Columbus Clippers	13	1	24	96	27	6	2	8%	1.9	28.1%	6.2%	21.9%	2.1%	4.81	2.69	—
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			134	62	463	1962	351	144	83	46%	3.5	17.9%	7.3%	10.6%	4.2%	4.38	4.85	-1.6
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	CLE	1	1	6	25	5	2	1	100%	6.0	21.1%	8.0%	13.1%	3.3%	4.60	4.54	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	CLE	12	12	74	315	64	26	11	100%	6.2	20.3%	8.3%	12.0%	3.6%	4.70	4.77	+0.1
2028	32	MLB MLE	CLE	11	11	69	291	57	25	11	100%	6.3	19.5%	8.7%	10.8%	3.8%	4.89	5.02	-0.1
2027	31	MLB CTX	CLE	12	12	74	312	64	26	11	100%	6.2	20.3%	8.3%	12.0%	3.6%	4.70	4.77	+0.1
2028	32	MLB CTX	CLE	11	11	69	291	57	25	11	100%	6.3	19.5%	8.7%	10.8%	3.8%	4.89	5.02	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		158	86	606	2567	472	196	105	54%	3.8	18.4%	7.6%	10.8%	4.1%	4.47	4.76	+1.0
/ 200 IP	—	RAW		52	28	200	847	156	65	35	54%	3.8	18.4%	7.6%	10.8%	4.1%	4.47	4.76	+0.3
Career	—	MLE		238	153	930	3948	651	245	144	64%	3.9	16.5%	6.2%	10.3%	3.7%	4.31	4.50	+0.3
/ 200 IP	—	MLE		51	33	200	849	140	53	31	64%	3.9	16.5%	6.2%	10.3%	3.7%	4.31	4.50	+0.1

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
Jaime Barria (OGILVIE)	—	—	4.54	21.1%	8.0%	3.3%	—	4.89	19.9%	11.4%	143	+0.35	—	—	—
Yohan Pino R 2015 · 4.13 FIP	31	SP-	4.13	17.8%	5.8%	3.3%	.312	5.33	15.2%	11.6%	35	+1.20	4.13	133	79
Mitch Atkins R 2016 · 3.65 FIP	30	SP-	3.65	21.4%	8.2%	2.4%	.341	4.77	14.3%	6.2%	78	+1.12	3.65	205	78
Hector Noesí R 2015 · 4.37 FIP	28	SP-	4.37	17.6%	8.1%	3.2%	.261	—	—	—	—	—	4.37	250	78
Fabio Castillo R 2017 · 3.98 FIP	28	SP-	3.98	20.9%	8.8%	2.8%	.291	—	—	—	—	—	3.13	195	78
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	77
Matt Cain R 2015 · 4.88 FIP	30	SP-	4.88	17.1%	6.8%	4.3%	.296	4.87	15.2%	7.6%	214	-0.01	4.82	294	76
Tim Adleman R 2017 · 5.35 FIP	29	SP-	5.35	20.3%	9.4%	5.1%	.276	4.30	22.8%	15.0%	117	-1.05	3.63	605	73
David Hale R 2018 · 4.22 FIP	30	SP-	4.22	15.4%	7.5%	2.7%	.299	3.65	17.1%	11.3%	114	-0.57	3.30	493	73
Austin Bibens-Dirkx R 2015 · 3.97 FIP	30	SP	3.97	17.4%	7.1%	2.6%	.315	4.94	15.9%	8.7%	305	+0.97	3.97	567	72
Aaron Wilkerson R 2019 · 4.67 FIP	30	SP-	4.67	20.9%	9.8%	3.8%	.291	3.33	24.6%	19.0%	112	-1.34	2.75	902	71
Justin Masterson R 2015 · 4.10 FIP	30	SP-	4.10	18.2%	10.5%	2.2%	.307	3.73	17.3%	6.4%	196	-0.37	3.50	269	71
Jerome Williams R 2015 · 4.72 FIP	33	SP-	4.72	13.4%	5.6%	3.7%	.326	5.81	11.7%	5.6%	74	+1.09	4.72	195	69
Kohei Arihara R 2022 · 4.58 FIP	29	SP-	4.58	16.4%	7.2%	3.5%	.333	—	—	—	—	—	4.58	135	69
Dillon Gee R 2016 · 5.10 FIP	30	SW	5.10	16.2%	6.2%	4.7%	.302	3.85	18.0%	12.1%	127	-1.25	3.67	380	69
Jason Berken R 2015 · 4.34 FIP	31	SW	4.34	13.5%	6.6%	2.8%	.315	4.54	11.5%	3.2%	106	+0.20	4.34	219	69
Daniel McCutchen R 2015 · 4.30 FIP	32	SP-	4.30	13.9%	4.4%	3.3%	.268	4.74	10.8%	4.9%	155	+0.44	4.30	287	69
Zack Segovia R 2015 · 4.78 FIP	32	SP	4.78	15.0%	8.3%	3.4%	.314	3.33	20.2%	14.3%	39	-1.45	3.33	144	68
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	67
Mike Bolsinger R 2017 · 4.26 FIP	29	SW	4.26	20.2%	9.4%	3.0%	.317	—	—	—	—	—	3.42	327	67
Dylan Axelrod R 2015 · 4.75 FIP	30	SP-	4.75	14.1%	6.6%	3.6%	.304	4.28	13.7%	7.4%	133	-0.47	4.28	251	67

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	1.1	74	20.4%	8.3%	1.37	4.72
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Austin Voth ('24)	1.7	58	22.2%	8.2%	1.50	4.63
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78