Theo Denlinger — OGILVIE

Theo Denlinger P Portland Sea Dogs

Age 30 RHP 6'3" / 240 lbs AA

2026 ROS PROJECTION0 act + 2 ip · rates below = ROS only

showingROS

wRC+ AGAINSTvL 120112vR 104

ERA4.59

FIP4.59

K%18.6%

BB%8.3%

K-BB%10.3%

ROS IP2

Value2026 · WAR

Runs saved vs league avg · 2 IP

Grades · Contract

Scouting Grades

K†4545

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)
2021	25	MIX MLE	2 levels	16	0	17	68	31	6	1	0%	1.0	33.2%	10.2%	23.0%	2.4%	3.24	2.92	—
2021	25	MIX RAW	2 levels	16	0	17	68	31	6	1	0%	1.0	45.6%	8.8%	36.8%	1.5%	3.24	1.24	—
2022	26	MIX MLE	2 levels	40	0	48	209	66	20	7	0%	1.2	23.9%	11.3%	12.6%	4.1%	4.47	4.76	—
2022	26	MIX RAW	2 levels	40	0	48	209	66	20	7	0%	1.2	31.6%	9.6%	22.0%	3.3%	4.47	3.49	—
2023	27	MIX MLE	2 levels	35	0	46	210	51	32	3	0%	1.3	19.8%	15.1%	4.7%	1.6%	5.44	4.21	—
2023	27	MIX MLE	2 levels	35	0	46	210	51	32	3	0%	1.3	19.8%	15.1%	4.7%	1.6%	5.44	4.21	—
2023	27	MIX RAW	2 levels	35	0	46	210	51	32	3	0%	1.3	24.3%	15.2%	9.0%	1.4%	5.44	3.81	—
2024	28	AA MLE	Portland Sea Dogs	23	0	41	185	35	9	5	0%	1.8	15.3%	5.4%	10.0%	3.2%	5.53	4.23	—
2024	28	AA MLE	Portland Sea Dogs	23	0	41	185	35	9	5	0%	1.8	15.3%	5.4%	10.0%	3.2%	5.53	4.23	—
2024	28	AA RAW	Portland Sea Dogs	23	0	41	185	35	9	5	0%	1.8	18.9%	4.9%	14.1%	2.7%	5.53	3.64	—
▸ 2026 season — projected remainder (no 2026 stats recorded)
2026	30	MLB	BOS	2	0	2	8	2	1	0	0%	1.0	18.6%	8.3%	10.3%	3.0%	4.59	4.59	-0.0
▸ Career projection (2027+) — MLB context, MLB playing time (IP × MLB%)
2027	31	MLB MLE	BOS	22	0	23	96	18	8	3	0%	1.0	18.7%	8.8%	9.9%	3.2%	4.68	4.77	-0.1
2027	31	MLB CTX	BOS	7	0	7	30	6	3	1	0%	1.0	18.7%	8.8%	9.9%	3.2%	4.68	4.77	-0.0
▸ Career totals — MLB only (actual + projected)
Career	—	RAW		7	0	7	30	6	3	1	0%	1.0	18.7%	8.8%	9.9%	3.2%	4.68	4.39	+0.0
/ 200 IP	—	RAW		190	0	200	844	169	84	28	0%	1.1	18.7%	8.8%	9.9%	3.2%	4.68	4.39	+0.4
Career	—	MLE		114	0	152	672	143	72	19	0%	1.3	21.2%	10.7%	10.5%	2.9%	4.91	4.26	-0.1
/ 200 IP	—	MLE		150	0	200	884	188	95	26	0%	1.3	21.2%	10.7%	10.5%	2.9%	4.91	4.26	-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
Theo Denlinger (OGILVIE)	—	—	4.59	18.6%	8.3%	3.0%	—	4.77	18.7%	9.9%	23	+0.18	—	—	—
Fernando Nieve R 2015 · 4.27 FIP	33	SU	4.27	22.0%	10.5%	3.1%	.290	2.43	26.9%	22.6%	89	-1.84	1.96	112	87
Wirfin Obispo R 2015 · 4.80 FIP	30	SU	4.80	18.6%	12.2%	3.1%	.292	1.31	28.6%	24.5%	126	-3.49	1.30	218	85
Angel Castro R 2015 · 4.50 FIP	32	SU	4.50	15.9%	8.0%	3.1%	.268	4.28	13.6%	5.5%	231	-0.22	3.51	292	85
Jean Machi R 2015 · 4.56 FIP	33	SU	4.56	16.3%	8.6%	3.2%	.276	4.24	18.5%	11.9%	128	-0.32	4.12	186	85
Edwin Jackson R 2015 · 3.77 FIP	31	SU	3.77	17.5%	8.8%	1.9%	.244	4.71	17.6%	7.8%	377	+0.94	3.77	521	84
Esteban Haro R 2016 · 4.55 FIP	30	SU	4.55	17.1%	10.2%	2.9%	.338	3.83	11.6%	6.3%	75	-0.72	3.76	164	84
Logan Kensing R 2015 · 3.56 FIP	33	SU	3.56	17.6%	8.8%	1.5%	.270	3.06	17.9%	10.0%	124	-0.50	2.73	172	84
David Hernandez R 2015 · 4.40 FIP	30	SU	4.40	22.9%	7.6%	4.1%	.287	3.17	24.9%	18.4%	192	-1.23	2.60	268	81
Tanner Scheppers R 2017 · 4.86 FIP	30	SU	4.86	15.7%	6.7%	4.1%	.301	—	—	—	—	—	4.37	101	81
Dustin Molleken R 2015 · 3.74 FIP	30	SU	3.74	20.4%	11.7%	1.6%	.287	3.90	20.6%	8.4%	77	+0.16	3.38	129	81
Adrian Garza R 2017 · 4.47 FIP	29	SU	4.47	16.0%	7.0%	3.4%	.351	5.18	9.7%	4.1%	113	+0.71	3.94	229	81
Alexi Ogando R 2015 · 5.11 FIP	31	SU	5.11	19.1%	9.4%	4.4%	.253	3.95	17.2%	8.0%	67	-1.16	3.79	132	80
Francisco Mendoza R 2016 · 3.81 FIP	28	SU	3.81	17.9%	7.7%	2.3%	.344	—	—	—	—	—	3.13	120	80
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	79
Jose Manuel Lopez R 2015 · 5.21 FIP	30	SU	5.21	18.6%	7.6%	4.9%	.373	3.56	18.5%	9.3%	93	-1.65	3.50	170	79
Marc Magliaro R 2018 · 3.94 FIP	28	SU	3.94	19.6%	7.3%	2.9%	.307	—	—	—	—	—	3.94	125	78
Ivan Zavala R 2017 · 5.02 FIP	30	SU	5.02	12.8%	8.0%	3.6%	.286	5.15	12.7%	5.3%	61	+0.13	4.27	209	78
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	78
Pedro Beato R 2017 · 3.86 FIP	30	SU	3.86	16.2%	8.7%	1.8%	.227	3.64	19.8%	13.1%	97	-0.22	3.47	295	78
Ryan Doolittle R 2016 · 4.38 FIP	28	SU	4.38	13.9%	7.1%	2.8%	.269	—	—	—	—	—	4.03	101	78