Dennis Santana — OGILVIE

Dennis Santana P Arizona Diamondbacks

Age 30 RHP 6'2" / 202 lbs MLB peak 0.6 · 2026

2026 ROS PROJECTION52 act + 5 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 108100vR 92

ERA3.62

FIP3.68

K%22.5%

BB%8.2%

K-BB%14.3%

ROS IP5

Value2026 · WAR

Runs saved vs league avg · 58 IP

Grades · Statcast · Arsenal · Contract

Scouting Grades

K†5555

Statcast Percentiles

FB Velo

p4494.1

Whiff%

p5626.3%

p4521.5%

xwOBA vs

p350.329

FB+2.3 (41%)

CH+2.1 (15%)

CT (9%)

SI (13%)

SL-0.5 (36%)

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	AZL Dodgers	13	11	48	231	52	37	4	85%	3.7	15.3%	20.0%	-4.7%	2.4%	6.42	5.67	—
2015	19	ROK RAW	AZL Dodgers	13	11	48	231	52	37	4	85%	3.7	22.5%	16.0%	6.5%	1.7%	6.42	4.34	—
2016	20	A MLE	Great Lakes Loons	25	14	111	470	124	56	2	56%	4.5	19.5%	14.1%	5.5%	0.6%	3.07	3.55	—
2016	20	A RAW	Great Lakes Loons	25	14	111	470	124	56	2	56%	4.5	26.4%	11.9%	14.5%	0.4%	3.07	2.61	—
2017	21	MIX MLE	2 levels	24	21	118	526	129	45	7	88%	4.9	19.2%	9.6%	9.5%	1.4%	4.11	3.49	—
2017	21	MIX RAW	2 levels	24	21	118	526	129	45	7	88%	4.9	24.5%	8.6%	16.0%	1.3%	4.11	2.83	—
2018	22	MIX MLE	3 levels	11	10	53	225	69	17	3	91%	4.8	25.7%	9.6%	16.1%	1.9%	3.21	3.22	+1.1
2018	22	MIX RAW	3 levels	11	10	53	225	69	17	3	91%	4.8	30.7%	7.6%	23.1%	1.3%	3.21	2.20	+1.9
2019	23	MIX MLE	2 levels	30	17	98	471	111	57	17	57%	3.3	20.8%	12.5%	8.3%	3.7%	6.96	4.96	-0.1
2019	23	MIX RAW	2 levels	30	17	98	471	111	57	17	57%	3.3	23.6%	12.1%	11.5%	3.6%	6.96	4.83	+0.1
2020	24	MLB MLE	Los Angeles Dodgers	12	0	17	73	18	7	4	0%	1.4	24.7%	9.6%	15.1%	5.3%	5.29	5.12	-0.1
2020	24	MLB RAW	Los Angeles Dodgers	12	0	17	73	18	7	4	0%	1.4	24.7%	9.6%	15.1%	5.5%	5.29	5.28	-0.1
2021	25	MIX MLE	2 levels	62	3	64	278	61	35	6	5%	1.0	19.4%	12.7%	6.8%	1.6%	4.50	3.93	+0.5
2021	25	MIX RAW	2 levels	62	3	64	278	61	35	6	5%	1.0	21.9%	12.6%	9.4%	2.2%	4.50	4.05	+0.4
2022	26	MIX MLE	2 levels	65	1	62	269	58	28	2	2%	1.0	21.2%	10.6%	10.6%	0.7%	4.91	3.05	+1.1
2022	26	MIX RAW	2 levels	65	1	62	269	58	28	2	2%	1.0	21.6%	10.4%	11.2%	0.7%	4.91	3.00	+1.2
2023	27	MIX MLE	2 levels	38	2	44	202	53	23	8	5%	1.1	22.8%	10.6%	12.2%	4.3%	5.15	4.85	-0.2
2023	27	MIX MLE	2 levels	38	2	44	202	53	23	8	5%	1.1	22.8%	10.6%	12.2%	4.3%	5.15	4.85	-0.2
2023	27	MIX RAW	2 levels	38	2	44	202	53	23	8	5%	1.1	26.2%	11.4%	14.9%	4.0%	5.15	4.63	-0.0
2024	28	MIX MLE	2 levels	64	0	73	297	71	24	4	0%	1.1	24.0%	7.3%	16.7%	1.5%	3.95	2.82	+1.5
2024	28	MIX MLE	2 levels	64	0	73	297	71	24	4	0%	1.1	24.0%	7.3%	16.7%	1.5%	3.95	2.82	+1.5
2024	28	MIX RAW	2 levels	64	0	73	297	71	24	4	0%	1.1	23.9%	8.1%	15.8%	1.3%	3.95	2.85	+1.5
2025	29	MLB MLE	Pittsburgh Pirates	70	0	70	270	60	17	5	0%	1.0	22.2%	6.3%	15.9%	2.0%	2.18	3.12	+1.2
2025	29	MLB MLE	Pittsburgh Pirates	70	0	70	270	60	17	5	0%	1.0	22.2%	6.3%	15.9%	2.0%	2.18	3.12	+1.2
2025	29	MLB RAW	Pittsburgh Pirates	70	0	70	270	60	17	5	0%	1.0	22.2%	6.3%	15.9%	1.9%	2.18	3.04	+1.3
▸ Career totals (raw MLB only — as recorded)
MLB Career	—			328	1	342	1441	317	135	31	0%	1.0	22.0%	9.4%	12.6%	2.2%	4.29	3.61	+3.8
▸ 2026 season
YTD	30	MLB MLE	Arizona Diamondbacks	55	0	52	232	51	21	10	0%	1.0	21.5%	9.4%	12.1%	4.3%	5.50	4.82	-0.2
YTD	30	MLB MLE	Arizona Diamondbacks	55	0	52	232	51	21	10	0%	1.0	21.5%	9.4%	12.1%	4.3%	5.50	4.82	-0.2
▸ 2026 season — so far · projected rest · full
2026	30	AAA RAW	ARI	2	0	2	9	3	0	1	0%	0.8	33.3%	0.0%	33.3%	11.1%	16.20	6.38	—
2026	30	MLB RAW	ARI	53	0	51	223	48	21	9	0%	1.0	21.5%	9.4%	12.1%	4.0%	5.15	4.69	-0.1
SO FAR	30	MLB RAW	ARI	53	0	51	223	48	21	9	0%	1.0	21.5%	9.4%	12.1%	4.0%	5.15	4.69	-0.1
ROS	30	MLB MLE	ARI	5	0	5	22	5	2	1	0%	1.1	22.5%	8.2%	14.3%	2.6%	3.62	3.68	+0.1
ROS	30	MLB CTX	ARI	5	0	5	21	5	2	1	0%	1.0	22.5%	8.2%	14.3%	2.5%	3.54	3.60	+0.1
2026 TOT	30	MLB MLE	ARI	—	—	58	254	56	23	11	—	—	22.0%	9.0%	13.1%	4.2%	5.33	4.71	-0.1
FULL	30	MLB A+C	ARI	—	—	56	236	56	23	11	—	—	23.7%	9.7%	14.0%	4.5%	5.48	4.77	-0.1
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	ARI	56	0	59	247	54	21	8	0%	1.0	21.9%	8.5%	13.4%	3.2%	4.33	4.45	+0.1
2028	32	MLB MLE	ARI	52	0	54	229	48	20	8	0%	1.0	21.1%	8.9%	12.1%	3.4%	4.56	4.71	-0.1
2027	31	MLB CTX	ARI	53	0	56	236	52	20	7	0%	1.1	21.9%	8.5%	13.4%	3.0%	4.23	4.35	+0.1
2028	32	MLB CTX	ARI	49	0	51	215	45	19	7	0%	1.0	21.1%	8.9%	12.1%	3.2%	4.46	4.61	-0.1
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		435	1	455	1916	419	176	46	0%	1.0	21.9%	9.2%	12.7%	2.4%	4.29	3.72	+4.5
/ 200 IP	—	RAW		191	0	200	843	184	77	20	0%	1.0	21.9%	9.2%	12.7%	2.4%	4.29	3.72	+2.0
Career	—	MLE		469	79	812	3544	740	396	76	17%	1.7	20.9%	11.2%	9.7%	2.2%	4.47	3.93	+3.8
/ 200 IP	—	MLE		116	19	200	873	182	98	19	17%	1.7	20.9%	11.2%	9.7%	2.2%	4.47	3.93	+1.7

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
Dennis Santana (OGILVIE)	—	—	3.78	23.5%	7.4%	2.5%	—	4.57	21.5%	12.8%	113	+0.79	—	—	—
Daniel Hudson R 2017 · 4.07 FIP	30	SU	4.07	24.4%	11.8%	2.8%	.301	4.01	24.1%	15.2%	140	-0.06	1.68	468	78
Jonathan Broxton R 2015 · 3.67 FIP	31	SU	3.67	24.5%	8.2%	2.9%	.325	3.89	21.7%	13.5%	76	+0.22	3.67	137	78
Jhan Mariñez R 2018 · 4.09 FIP	29	SU	4.09	21.2%	7.9%	3.2%	.331	—	—	—	—	—	3.16	253	77
Ross Ohlendorf R 2015 · 3.30 FIP	32	SU	3.30	23.7%	7.2%	2.3%	.342	4.93	23.4%	12.7%	66	+1.63	3.30	122	77
Drew Storen R 2017 · 3.83 FIP	29	SU	3.83	19.5%	7.3%	2.6%	.289	4.31	19.4%	8.4%	10	+0.48	2.36	172	77
Adam Warren R 2018 · 3.72 FIP	30	SU	3.72	23.3%	8.5%	2.8%	.288	4.69	20.6%	9.9%	86	+0.97	2.72	392	76
Fernando Rodriguez Jr. R 2015 · 3.34 FIP	31	SU	3.34	26.5%	9.6%	2.3%	.241	3.89	23.3%	13.2%	105	+0.55	3.34	212	76
Tom Wilhelmsen R 2015 · 3.07 FIP	31	SU	3.07	22.5%	9.7%	1.1%	.298	5.78	13.8%	4.1%	86	+2.71	3.07	148	75
Sam Dyson R 2018 · 3.34 FIP	30	SU	3.34	20.5%	7.0%	2.0%	.264	3.21	22.1%	16.9%	62	-0.13	2.66	333	75
Ryan Tepera R 2018 · 3.90 FIP	30	SU	3.90	25.9%	8.7%	3.4%	.282	3.20	28.4%	19.9%	104	-0.70	2.35	445	75
Luis García R 2017 · 2.80 FIP	30	SU	2.80	20.3%	7.1%	0.9%	.275	4.36	22.4%	12.3%	108	+1.56	2.33	617	75
Ryan Cook R 2018 · 3.96 FIP	31	SU	3.96	25.1%	10.8%	2.9%	.280	—	—	—	—	—	3.96	102	75
Danny Farquhar R 2017 · 3.62 FIP	30	SU	3.62	22.3%	11.0%	1.8%	.247	—	—	—	—	—	3.62	224	75
Kevin Jepsen R 2015 · 3.47 FIP	31	SU	3.47	20.7%	9.1%	1.8%	.241	5.85	16.9%	7.2%	90	+2.38	3.47	160	75
Alex Colomé R 2019 · 3.82 FIP	30	SU	3.82	22.1%	8.4%	2.8%	.211	3.78	17.8%	9.4%	134	-0.04	2.72	530	75
Joakim Soria R 2015 · 3.70 FIP	31	SU	3.70	23.5%	6.6%	3.2%	.258	2.91	26.6%	18.9%	183	-0.79	2.01	380	74
Pedro Báez R 2018 · 2.90 FIP	30	SU	2.90	26.2%	8.9%	1.6%	.280	3.37	23.7%	15.4%	87	+0.47	2.29	332	74
Gregory Infante R 2017 · 2.97 FIP	30	SU	2.97	22.8%	8.2%	1.4%	.251	4.07	22.0%	17.4%	50	+1.10	2.97	230	74
Bud Norris R 2015 · 4.68 FIP	30	SW	4.68	18.8%	8.2%	3.9%	.327	3.78	24.2%	15.5%	233	-0.90	3.51	316	74
Tony Barnette R 2016 · 3.05 FIP	32	SU	3.05	19.9%	6.1%	1.6%	.281	3.26	23.4%	17.0%	84	+0.21	2.61	144	74

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	0.9	59	22.2%	8.2%	1.16	4.18
Noé Ramirez ('22)	1.3	52	24.8%	9.0%	1.33	4.19
Trevor Gott ('23)	1.0	51	22.0%	7.4%	0.79	3.97
Jarlín García ('22)	1.5	61	19.6%	7.8%	1.33	3.79
Josh Winckowski ('24)	1.2	77	18.3%	8.2%	1.13	4.21
Joe Biagini ('19)	1.6	81	19.1%	7.8%	1.28	4.86
Mike Mayers ('23)	1.2	47	24.3%	7.8%	1.50	4.47