Yonny Chirinos — OGILVIE

Yonny Chirinos P Jacksonville Jumbo Shrimp

Age 32 RHP 6'2" / 225 lbs AAA peak 0.3 · 2026

2026 ROS PROJECTION0 act + 4 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 127119vR 111

ERA4.98

FIP4.93

K%16.2%

BB%8.0%

K-BB%8.3%

ROS IP4

Value2026 · WAR

Runs saved vs league avg · 4 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF5050

CTRL5555

CMD3535

K†4040

Statcast Percentiles

FB Velo

p2993.0

Whiff%

p1720.7%

p1717.4%

xwOBA vs

p300.335

SL+1.8 (39%)

SI (30%)

FB-15.6 (46%)

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	21	MIX MLE	2 levels	12	10	64	259	50	7	3	83%	5.4	14.0%	3.3%	10.7%	1.4%	2.10	3.10	—
2015	21	MIX RAW	2 levels	12	10	64	259	50	7	3	83%	5.4	19.3%	2.7%	16.6%	1.2%	2.10	2.48	—
2016	22	MIX MLE	3 levels	29	17	129	532	83	16	10	59%	4.4	12.1%	3.4%	8.7%	2.3%	3.36	3.76	—
2016	22	MIX RAW	3 levels	29	17	129	532	83	16	10	59%	4.4	15.6%	3.0%	12.6%	1.9%	3.36	3.19	—
2017	23	MIX MLE	2 levels	27	26	168	650	141	26	15	96%	6.2	18.9%	4.2%	14.6%	2.5%	2.73	3.43	—
2017	23	MIX RAW	2 levels	27	26	168	650	141	26	15	96%	6.2	21.7%	4.0%	17.7%	2.3%	2.73	3.05	—
2018	24	MIX MLE	3 levels	27	16	122	509	108	32	14	59%	4.5	20.4%	6.1%	14.4%	3.0%	3.90	3.80	+1.6
2018	24	MIX RAW	3 levels	27	16	122	509	108	32	14	59%	4.5	21.2%	6.3%	14.9%	2.8%	3.90	3.61	+1.9
2019	25	MLB MLE	Tampa Bay Rays	26	18	133	530	114	27	23	69%	5.1	21.5%	5.1%	16.4%	4.5%	3.85	4.38	+0.8
2019	25	MLB RAW	Tampa Bay Rays	26	18	133	530	114	27	23	69%	5.1	21.5%	5.1%	16.4%	4.3%	3.85	4.24	+1.0
2020	26	MLB MLE	Tampa Bay Rays	3	3	11	52	10	4	2	100%	3.8	19.2%	7.7%	11.5%	4.0%	2.38	4.62	+0.0
2020	26	MLB RAW	Tampa Bay Rays	3	3	11	52	10	4	2	100%	3.8	19.2%	7.7%	11.5%	3.8%	2.38	4.69	+0.0
2022	28	MIX MLE	4 levels	13	8	33	140	28	9	3	62%	2.6	18.2%	10.0%	8.2%	3.4%	3.51	4.69	+0.1
2022	28	MIX RAW	4 levels	13	8	33	140	28	9	3	62%	2.6	20.0%	6.4%	13.6%	2.1%	3.51	3.40	+0.6
2023	29	MIX MLE	2 levels	25	13	104	453	70	35	16	52%	4.2	14.8%	7.5%	7.3%	3.5%	5.26	4.74	+0.2
2023	29	MIX MLE	2 levels	25	13	104	453	70	35	16	52%	4.2	14.8%	7.5%	7.3%	3.5%	5.26	4.74	+0.2
2023	29	MIX RAW	2 levels	25	13	104	453	70	35	16	52%	4.2	15.5%	7.7%	7.7%	3.5%	5.26	4.76	+0.2
2024	30	MIX MLE	2 levels	27	27	141	617	117	50	18	100%	5.2	16.4%	7.5%	8.9%	3.3%	4.22	4.48	+0.7
2024	30	MIX MLE	2 levels	27	27	141	617	117	50	18	100%	5.2	16.4%	7.5%	8.9%	3.3%	4.22	4.48	+0.7
2024	30	MIX RAW	2 levels	27	27	141	617	117	50	18	100%	5.2	19.0%	8.1%	10.9%	2.9%	4.22	4.17	+1.2
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			75	44	356	1493	283	95	54	59%	4.8	19.0%	6.4%	12.6%	3.6%	4.22	4.28	+2.6
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	32	MLB	MIA	1	1	4	17	3	1	1	100%	4.0	16.2%	8.0%	8.3%	3.3%	4.98	4.93	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	MIA	8	8	51	214	33	18	8	100%	6.3	15.4%	8.4%	7.0%	3.6%	5.12	5.21	-0.2
2028	34	MLB MLE	MIA	7	7	46	195	28	17	8	100%	6.6	14.5%	8.9%	5.6%	3.9%	5.35	5.51	-0.3
2029	35	MLB MLE	MIA	6	6	42	175	24	17	7	100%	6.9	13.5%	9.4%	4.1%	4.2%	5.65	5.85	-0.4
2027	33	MLB CTX	MIA	8	8	51	215	33	18	8	100%	6.4	15.4%	8.4%	7.0%	3.6%	5.12	5.21	-0.2
2028	34	MLB CTX	MIA	7	7	46	194	28	17	8	100%	6.6	14.5%	8.9%	5.6%	3.9%	5.35	5.51	-0.3
2029	35	MLB CTX	MIA	6	6	42	177	24	17	7	100%	7.0	13.5%	9.4%	4.1%	4.2%	5.65	5.85	-0.4
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		96	65	495	2078	368	147	77	68%	5.2	17.7%	7.1%	10.6%	3.7%	4.54	4.52	+2.2
/ 200 IP	—	RAW		39	26	200	840	149	59	31	68%	5.2	17.7%	7.1%	10.6%	3.7%	4.54	4.52	+0.9
Career	—	MLE		189	138	907	3742	645	211	114	73%	4.8	17.2%	5.6%	11.6%	3.1%	3.64	4.03	+1.6
/ 200 IP	—	MLE		42	30	200	825	142	46	25	73%	4.8	17.2%	5.6%	11.6%	3.1%	3.64	4.03	+0.6

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
Yonny Chirinos (OGILVIE)	—	—	4.93	16.2%	8.0%	3.3%	—	5.50	14.5%	5.7%	138	+0.57	—	—	—
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	80
Jair Jurrjens R 2017 · 4.27 FIP	31	SP	4.27	16.3%	7.9%	2.8%	.335	—	—	—	—	—	4.27	125	76
Elian Leyva R 2019 · 4.30 FIP	30	SP-	4.30	17.0%	8.5%	2.9%	.323	—	—	—	—	—	3.10	158	74
Jesus Adrian Castillo R 2016 · 3.88 FIP	32	SP	3.88	12.8%	6.0%	2.0%	.245	4.27	13.6%	7.2%	58	+0.39	2.23	173	74
Alfredo Aceves R 2015 · 4.98 FIP	32	SP	4.98	10.0%	6.2%	3.5%	.244	4.93	9.9%	2.0%	107	-0.05	4.78	160	73
Guillermo Moscoso R 2017 · 3.77 FIP	33	SP	3.77	14.5%	6.9%	1.8%	.270	4.64	14.9%	7.5%	176	+0.87	3.77	264	72
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	72
Kameron Loe R 2016 · 3.84 FIP	34	SP	3.84	11.9%	5.3%	2.0%	.356	3.38	17.1%	9.1%	133	-0.46	3.38	201	71
Tyler Herron R 2017 · 4.02 FIP	30	SP	4.02	16.4%	8.7%	2.2%	.377	—	—	—	—	—	4.02	117	70
Juan Delgadillo R 2015 · 4.54 FIP	32	SP	4.54	15.5%	7.2%	3.3%	.316	4.47	10.9%	4.7%	39	-0.07	4.47	143	70
Edwin Jackson R 2016 · 5.00 FIP	32	SP-	5.00	15.7%	10.1%	3.5%	.312	5.18	17.5%	7.7%	369	+0.18	3.77	521	70
Andres Ivan Meza R 2019 · 4.33 FIP	32	SP	4.33	11.7%	7.7%	2.3%	.349	—	—	—	—	—	4.14	275	70
Roberto Hernandez R 2015 · 4.38 FIP	34	SP-	4.38	11.8%	6.7%	2.6%	.287	4.38	13.8%	6.8%	86	+0.00	4.38	171	69
Miguel Ruiz R 2017 · 5.60 FIP	31	SP	5.60	10.6%	11.0%	3.6%	.279	—	—	—	—	—	5.60	117	69
Cesar Carrillo R 2016 · 4.28 FIP	32	SP	4.28	12.8%	9.3%	2.0%	.301	5.76	11.4%	1.2%	103	+1.48	4.14	325	69
Mitch Talbot R 2018 · 3.82 FIP	34	SP	3.82	13.7%	5.6%	2.1%	.281	5.01	13.2%	8.9%	59	+1.19	3.82	162	68
Sergio Valenzuela R 2017 · 5.66 FIP	32	SP	5.66	10.6%	6.5%	4.8%	.355	—	—	—	—	—	3.66	244	68
Stephen Fife R 2018 · 3.77 FIP	31	SP	3.77	12.5%	5.1%	2.0%	.374	—	—	—	—	—	3.11	179	68
Garrett Richards R 2020 · 4.05 FIP	32	SP-	4.05	21.6%	8.0%	3.2%	.280	4.16	18.8%	9.8%	179	+0.11	2.31	577	67
Aaron Brooks R 2022 · 4.38 FIP	32	SP	4.38	15.8%	7.0%	3.1%	.332	4.49	13.7%	7.0%	245	+0.11	3.71	879	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	1.0	48	15.0%	8.6%	1.43	5.25
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43
Eddie Butler ('18)	1.2	62	13.3%	9.8%	1.49	5.74
Josh Fleming ('24)	1.3	51	14.6%	7.5%	1.17	4.77
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78