Ryan Borucki — OGILVIE

Ryan Borucki P San Francisco Giants

Age 32 LHP 6'4" / 210 lbs MLB peak 0.1 · 2026

2026 ROS PROJECTION34 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 97105vR 113

ERA4.10

FIP4.21

K%19.9%

BB%9.1%

K-BB%10.8%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 39 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

STUF6060

CTRL4040

CMD4545

K†5555

Statcast Percentiles

FB Velo

p3693.5

Whiff%

p6928.2%

p1014.4%

xwOBA vs

p520.310

SL+2.8 (47%)

SI (35%)

FB-0.8 (35%)

CT-1.5 (5%)

CH-2.3 (13%)

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	ROK MLE	GCL Blue Jays	1	0	1	4	1	0	0	0%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	0.99	—
2015	21	ROK RAW	GCL Blue Jays	1	0	1	4	1	0	0	0%	1.0	25.0%	0.0%	25.0%	0.0%	0.00	1.10	—
2016	22	MIX MLE	2 levels	26	26	136	570	117	38	11	100%	5.2	15.2%	7.8%	7.4%	2.6%	4.18	4.25	—
2016	22	MIX RAW	2 levels	26	26	136	570	117	38	11	100%	5.2	20.5%	6.7%	13.9%	1.9%	4.18	3.27	—
2017	23	MIX MLE	3 levels	27	26	150	613	157	35	7	96%	5.6	20.0%	6.6%	13.4%	1.2%	2.93	2.90	—
2017	23	MIX RAW	3 levels	27	26	150	613	157	35	7	96%	5.6	25.6%	5.7%	19.9%	1.1%	2.93	2.32	—
2018	24	MIX MLE	2 levels	30	30	175	731	125	58	13	100%	5.8	16.1%	8.1%	8.0%	1.8%	3.61	3.75	+2.4
2018	24	MIX RAW	2 levels	30	30	175	731	125	58	13	100%	5.8	17.1%	7.9%	9.2%	1.8%	3.61	3.63	+2.7
2019	25	MIX MLE	4 levels	6	6	25	107	25	9	6	100%	4.1	23.4%	8.4%	15.0%	5.6%	5.11	5.27	-0.1
2019	25	MIX RAW	4 levels	6	6	25	107	25	9	6	100%	4.1	23.4%	8.4%	15.0%	5.6%	5.11	5.33	-0.1
2020	26	MLB MLE	Toronto Blue Jays	21	0	17	73	21	11	1	0%	0.8	28.8%	15.1%	13.7%	1.4%	2.70	3.33	+0.2
2020	26	MLB RAW	Toronto Blue Jays	21	0	17	73	21	11	1	0%	0.8	28.8%	15.1%	13.7%	1.4%	2.70	3.34	+0.2
2021	27	MIX MLE	2 levels	33	0	33	137	33	19	5	0%	1.0	21.4%	11.2%	10.2%	5.1%	4.36	5.51	-0.4
2021	27	MIX RAW	2 levels	33	0	33	137	33	19	5	0%	1.0	24.1%	13.9%	10.2%	3.6%	4.36	4.80	-0.1
2022	28	MLB MLE	Seattle Mariners	32	0	25	111	21	11	6	0%	0.8	18.9%	9.9%	9.0%	5.5%	5.68	5.80	-0.4
2022	28	MLB RAW	Seattle Mariners	32	0	25	111	21	11	6	0%	0.8	18.9%	9.9%	9.0%	5.4%	5.68	5.82	-0.4
2023	29	MIX MLE	2 levels	54	2	58	237	48	16	5	4%	1.1	19.2%	6.2%	12.9%	2.2%	3.59	3.51	+0.7
2023	29	MIX MLE	2 levels	54	2	58	237	48	16	5	4%	1.1	19.2%	6.2%	12.9%	2.2%	3.59	3.51	+0.7
2023	29	MIX RAW	2 levels	54	2	58	237	48	16	5	4%	1.1	20.3%	6.8%	13.5%	2.1%	3.59	3.39	+0.8
2024	30	MIX MLE	3 levels	29	0	26	114	37	12	5	0%	0.9	25.5%	7.8%	17.6%	4.2%	5.96	4.27	+0.1
2024	30	MIX MLE	3 levels	29	0	26	114	37	12	5	0%	0.9	25.5%	7.8%	17.6%	4.2%	5.96	4.27	+0.1
2024	30	MIX RAW	3 levels	29	0	26	114	37	12	5	0%	0.9	32.5%	10.5%	21.9%	4.4%	5.96	4.15	+0.1
2025	31	MIX MLE	3 levels	47	1	44	181	42	20	4	2%	0.9	22.1%	10.3%	11.7%	2.8%	3.89	4.06	+0.3
2025	31	MIX MLE	3 levels	47	1	44	181	42	20	4	2%	0.9	22.1%	10.3%	11.7%	2.8%	3.89	4.06	+0.3
2025	31	MIX RAW	3 levels	47	1	44	181	42	20	4	2%	0.9	23.2%	11.0%	12.2%	2.2%	3.89	3.74	+0.4
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			208	21	280	1189	229	100	34	10%	1.3	19.3%	8.4%	10.8%	2.9%	4.34	4.11	+1.4
▸ 2026 season
YTD	32	MLB MLE	San Francisco Giants	33	0	34	148	25	11	3	0%	1.0	14.4%	7.7%	6.7%	3.1%	3.67	4.57	-0.0
YTD	32	MLB MLE	San Francisco Giants	33	0	34	148	25	11	3	0%	1.0	14.4%	7.7%	6.7%	3.1%	3.67	4.57	-0.0
▸ 2026 season — so far · projected rest · full
2026	32	AAA RAW	SF	12	0	11	44	10	3	0	0%	0.9	22.7%	6.8%	15.9%	0.0%	0.84	2.04	—
2026	32	MLB RAW	SF	21	0	24	104	15	8	3	0%	1.1	14.4%	7.7%	6.7%	2.9%	4.94	4.44	+0.0
SO FAR	32	MLB RAW	SF	21	0	24	104	15	8	3	0%	1.1	14.4%	7.7%	6.7%	2.9%	4.94	4.44	+0.0
ROS	32	MLB MLE	SF	5	0	5	22	4	2	1	0%	1.0	19.9%	9.1%	10.8%	3.0%	4.10	4.21	+0.0
ROS	32	MLB CTX	SF	5	0	5	21	4	2	1	0%	1.0	19.9%	9.1%	10.8%	3.0%	4.10	4.21	+0.0
2026 TOT	32	MLB MLE	SF	—	—	39	170	29	13	4	—	—	17.3%	7.6%	9.6%	2.2%	3.73	4.52	+0.0
FULL	32	MLB A+C	SF	—	—	29	122	29	13	4	—	—	24.1%	10.7%	13.4%	3.0%	5.11	4.06	+0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	33	MLB MLE	SF	53	0	56	236	47	23	8	0%	1.1	19.7%	9.6%	10.2%	3.2%	4.65	4.81	-0.2
2028	34	MLB MLE	SF	49	0	51	215	40	22	8	0%	1.0	18.8%	10.1%	8.8%	3.5%	4.93	5.11	-0.3
2027	33	MLB CTX	SF	50	0	53	224	44	21	7	0%	1.1	19.7%	9.6%	10.2%	3.2%	4.65	4.81	-0.2
2028	34	MLB CTX	SF	44	0	46	194	37	20	7	0%	1.0	18.8%	10.1%	8.8%	3.5%	4.93	5.11	-0.3
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		308	21	384	1630	314	143	49	7%	1.2	19.3%	8.8%	10.5%	3.0%	4.45	4.23	+1.5
/ 200 IP	—	RAW		160	11	200	848	163	74	25	7%	1.3	19.3%	8.8%	10.5%	3.0%	4.45	4.23	+0.8
Career	—	MLE		339	91	723	3026	561	244	75	27%	2.1	18.5%	8.1%	10.5%	2.5%	3.81	3.93	+0.9
/ 200 IP	—	MLE		94	25	200	837	155	68	21	27%	2.1	18.5%	8.1%	10.5%	2.5%	3.81	3.93	+0.5

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
Ryan Borucki (OGILVIE)	—	—	4.41	22.7%	9.5%	3.0%	—	4.95	19.3%	9.5%	107	+0.54	—	—	—
Jeremy Bleich L 2019 · 4.41 FIP	32	SW	4.41	20.1%	7.0%	3.9%	.360	—	—	—	—	—	3.20	241	75
Fernando Abad L 2017 · 3.53 FIP	31	SU	3.53	20.3%	7.1%	2.2%	.281	2.37	23.3%	21.0%	44	-1.16	2.37	306	74
Phil Coke L 2015 · 3.89 FIP	33	SU	3.89	18.8%	9.1%	2.2%	.373	3.04	18.0%	11.3%	70	-0.85	3.04	101	74
Adam Liberatore L 2018 · 4.28 FIP	31	SU	4.28	18.6%	9.1%	2.9%	.354	—	—	—	—	—	2.38	124	73
Colt Hynes L 2017 · 3.75 FIP	32	SW	3.75	14.1%	4.6%	2.3%	.306	—	—	—	—	—	3.42	152	72
Buddy Boshers L 2019 · 3.73 FIP	31	SU	3.73	25.3%	10.4%	2.6%	.294	—	—	—	—	—	2.80	223	71
Zach Phillips L 2019 · 3.67 FIP	32	SU	3.67	19.1%	8.5%	2.0%	.355	—	—	—	—	—	2.33	202	70
Dan Runzler L 2017 · 4.20 FIP	32	SU	4.20	17.5%	11.0%	2.1%	.325	4.84	16.0%	3.0%	27	+0.64	3.78	127	70
Craig Breslow L 2015 · 4.94 FIP	34	SU	4.94	16.4%	6.4%	4.4%	.279	4.42	16.2%	6.5%	94	-0.52	4.22	159	70
Dana Eveland L 2016 · 3.84 FIP	32	SU	3.84	17.2%	9.7%	1.8%	.272	4.67	14.7%	10.0%	21	+0.83	2.42	129	70
Dan Jennings L 2018 · 3.88 FIP	31	SU	3.88	16.6%	8.1%	2.1%	.303	—	—	—	—	—	3.11	244	69
Chris Narveson L 2015 · 4.79 FIP	33	SW	4.79	23.6%	8.0%	4.9%	.333	4.59	14.1%	4.5%	193	-0.20	4.59	249	69
Vidal Nuño L 2019 · 4.40 FIP	32	SU	4.40	20.2%	8.7%	3.5%	.376	4.88	16.0%	11.1%	53	+0.48	4.00	424	68
Mike Dunn L 2017 · 4.29 FIP	32	SU	4.29	25.9%	12.7%	3.2%	.276	5.11	17.3%	2.6%	35	+0.82	3.71	181	68
Tony Watson L 2017 · 3.76 FIP	32	SU	3.76	18.2%	4.5%	3.0%	.292	3.39	22.8%	18.4%	138	-0.37	2.21	405	68
Sam Freeman L 2019 · 5.60 FIP	32	SU	5.60	16.8%	11.3%	4.5%	.380	4.01	18.5%	5.4%	36	-1.59	3.03	299	68
Ryan O'Rourke L 2019 · 4.08 FIP	31	SU	4.08	22.1%	14.3%	1.9%	.290	—	—	—	—	—	3.05	145	68
David Huff L 2016 · 4.06 FIP	31	SW	4.06	19.5%	4.9%	3.6%	.384	—	—	—	—	—	3.40	158	67
Neal Cotts L 2015 · 4.66 FIP	35	SU	4.66	21.6%	7.4%	4.4%	.257	3.77	21.9%	14.5%	93	-0.89	3.21	156	67
Robbie Ross Jr. L 2021 · 4.98 FIP	32	SU	4.98	15.2%	7.0%	4.2%	.312	—	—	—	—	—	2.81	159	66

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	0.8	56	20.5%	9.7%	1.25	4.61
José Ruiz ('24)	1.3	52	22.2%	10.4%	1.41	4.41
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
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Roansy Contreras ('24)	1.2	77	19.5%	10.1%	1.36	4.78
Alex Young ('23)	1.3	52	19.5%	8.6%	1.61	4.43